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  <title>XiaoHu · AI, Explained</title>
  <link>https://best.xiaohu.ai/en/</link>
  <description>I&#x27;m XiaoHu. Every day I make sense of what&#x27;s new in AI — checking what&#x27;s real and explaining it in plain language. Each piece is a visual article with motion, interaction, and analogy. A place to read these explainers, searchable and worth trusting.</description>
  <language>en</language>
  <item>
    <title>10 Wild Grok Bot Use Cases: A Fleet of Bots Working Together, from Curating Bookmarks and Tracking Competitors to Multi-Agent Delegation</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-ten-use-cases/</link>
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    <description>Understand Miles Deutscher&#x27;s ten prompt cards to learn how to define tasks, verify evidence, and inspect deliverables.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category><category>提示词</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Building a 3D Interactive Lesson with AI and Three.js: From Energy Textbook to Working Prototype</title>
    <link>https://best.xiaohu.ai/en/article/techartist-3d-energy-teaching-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/techartist-3d-energy-teaching-guide/</guid>
    <description>Build a working 3D lesson through four rounds of prompts, then add eight-store exploration, a pop-up book, and a five-shot demo. Includes source code, a complete walkthrough, and fixes from testing.</description>
    <category>教程</category>
    <category>Three.js</category><category>AI 编程</category><category>互动教学</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Official Anthropic Guide: As Models Improve, Many Sub-Agents Can Be Replaced with Skills and Tools</title>
    <link>https://best.xiaohu.ai/en/article/claude-fold-subagents/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-fold-subagents/</guid>
    <description>Turn business workflows into skills and business APIs into tools so a single Agent can handle requests end-to-end; evaluate actual tasks to decide which sub-Agents to keep.</description>
    <category>洞察</category>
    <category>Anthropic</category><category>Agent</category><category>Skills</category><category>MCP</category><category>架构设计</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z Charts of the Week: Attention Struggles to Grow, Older GPU Rents Are Rising, and Where Is AI Infrastructure Still Stuck?</title>
    <link>https://best.xiaohu.ai/en/article/a16z-attention-is-all/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-attention-is-all/</guid>
    <description>11 charts on the battle for attention, GPU rental pricing, manufacturing supply, and cybersecurity revenue: demand remains resilient, but growth comes with distinct caveats.</description>
    <category>洞察</category>
    <category>a16z</category><category>注意力经济</category><category>GPU</category><category>AI基础设施</category><category>网络安全</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Block Releases Dessa: A Speech-Only AI That Learned to Speak from Scratch Just by Listening to People</title>
    <link>https://best.xiaohu.ai/en/article/dessa-speech-only-conversation/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/dessa-speech-only-conversation/</guid>
    <description>Trained solely on human conversational audio, it can listen and speak simultaneously, but can also misremember names. Drawing on four sets of release materials and six bilingual videos, this explainer examines Dessa&#x27;s novelty, vocal nuances, and local deployment requirements.</description>
    <category>产品发布</category>
    <category>Dessa</category><category>Block</category><category>纯语音模型</category><category>全双工</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Does AI Design Always Feel Like a Template? huashu-design 3.0: Letting AI See More, Try More, and Avoid Making Every Design Look the Same</title>
    <link>https://best.xiaohu.ai/en/article/huashu-design-3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/huashu-design-3/</guid>
    <description>Draft six candidates before picking three real directions; using real references, visual specimen sheets, and local records to pull design directions apart.</description>
    <category>AI 实操</category>
    <category>AI设计</category><category>Skill</category><category>开源</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Kimi K3.1 Pro Released: Building Complete Games, Editable 3D Models, and Linked Financial Spreadsheets</title>
    <link>https://best.xiaohu.ai/en/article/kimi-k3-1-pro/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kimi-k3-1-pro/</guid>
    <description>From debugging human walking simulations to Blender modeling and financial workflows, here is what this release does, what the benchmark figures show, and how the Standard and Highspeed editions are priced.</description>
    <category>产品发布</category>
    <category>Kimi</category><category>3D 建模</category><category>财务建模</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Turning a Person&#x27;s Story into an Animated Face: Inside Mosaic Studio&#x27;s Design Method</title>
    <link>https://best.xiaohu.ai/en/article/mosaic-studio-generative-motion/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mosaic-studio-generative-motion/</guid>
    <description>A custom animation engine built by Agu Seguí for First of Kind: composing portraits from words, linking word meanings to dynamic skins, and applying the same visual rules to both web and video production.</description>
    <category>商业视觉实战</category>
    <category>生成式设计</category><category>品牌视觉</category><category>WebGL</category><category>Paper</category><category>动画</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s FDE team: Making our earlier work unnecessary means we&#x27;ve done our job well</title>
    <link>https://best.xiaohu.ai/en/article/openai-forward-deployed-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-forward-deployed-engineering/</guid>
    <description>From chip verification to voice customer service, Forward Deployed Engineers first get customer problems solved in production, then distill that experience into more usable products and more capable models.</description>
    <category>深度</category>
    <category>FDE</category><category>企业 AI</category><category>Codex</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Phonon-2.5: A 156 MB Speech Transcription Model Supporting 25 Languages, Beating Whisper large-v3 on Average</title>
    <link>https://best.xiaohu.ai/en/article/phonon-2-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/phonon-2-5/</guid>
    <description>Fermion Research releases the weights of its next-generation local ASR model: how a tiny file preserves accuracy, and the conditions behind transcribing an hour of audio in 20 seconds.</description>
    <category>产品发布</category>
    <category>语音识别</category><category>本地AI</category><category>Phonon-2.5</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>NVIDIA Releases Bolt E4B: A Small Model for Local Assistants and Robots, with Less Chatter and Better Tool Use</title>
    <link>https://best.xiaohu.ai/en/article/nvidia-nemotron-3-5-bolt-e4b/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/nvidia-nemotron-3-5-bolt-e4b/</guid>
    <description>Trained further from Gemma 4 to balance concise dialogue with multi-turn tool calling. The ~6GB RAM reference, robot demonstration, and benchmark numbers each come with specific caveats.</description>
    <category>产品发布</category>
    <category>NVIDIA</category><category>Nemotron</category><category>端侧 AI</category><category>Agent</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>MIT Report: The World&#x27;s Most Famous Institute of Technology Has Just Admitted AI Has Broken Its Teaching Model</title>
    <link>https://best.xiaohu.ai/en/article/mit-ai-education-cognitive-surrender-20261024/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mit-ai-education-cognitive-surrender-20261024/</guid>
    <description>As correct answers become ever easier to obtain, curricula must refocus on students&#x27; attempts, judgment, and collaboration—while channeling time saved by AI into deeper hands-on practice.</description>
    <category>深度</category>
    <category>MIT</category><category>AI 教育</category><category>学习</category><category>大学</category><category>教学改革</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Releases Gemini API CLI: Bringing Image, Video, Voiceover, and Research Capabilities Directly to Existing Agents</title>
    <link>https://best.xiaohu.ai/en/article/gemini-api-cli/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-api-cli/</guid>
    <description>Equipping Agents like Codex and Claude Code with Google multimodal power: media saves directly into projects, while long-running tasks resume via interaction IDs.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini</category><category>Agent</category><category>CLI</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Amazon CEO: Merely Adding AI to Legacy Products May Not Secure the Future</title>
    <link>https://best.xiaohu.ai/en/article/andy-jassy-ai-organization-reinvention/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/andy-jassy-ai-organization-reinvention/</guid>
    <description>Organizational Reinvention: Moving from Over-Specialization Back to Small Cross-Functional Teams</description>
    <category>深度</category>
    <category>AI</category><category>亚马逊</category><category>组织管理</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Can LLMs Propose New Theories Like Einstein? The Scientific Creativity Debate in “LLMs can’t jump”</title>
    <link>https://best.xiaohu.ai/en/article/llms-cant-jump/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/llms-cant-jump/</guid>
    <description>Starting from the elevator thought experiment, understanding the difference between deriving from existing premises, proposing new explanations, and testing against the physical world.</description>
    <category>研究解读</category>
    <category>AI</category><category>科学发现</category><category>推理</category><category>世界模型</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Let Claude Help You Make News and Documentary Shorts: 8 Styles, from a Single Short Film to Your Own Recurring Series</title>
    <link>https://best.xiaohu.ai/en/article/lemo-opuscar-edit-documentary/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/lemo-opuscar-edit-documentary/</guid>
    <description>Hand over reports, archives, and game footage to Claude to try eight news and documentary styles; save your chosen palette, fonts, and pacing, and reuse them with new materials next time to build your own recurring series.</description>
    <category>AI 实操</category>
    <category>Claude</category><category>视频制作</category><category>Lemo-Opuscar</category><category>纪实剪辑</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Reveals How ChatGPT’s Ad System Works: Placing Relevant Ads Without Changing Its Answers</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-ad-stack/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-ad-stack/</guid>
    <description>An ad must pass through intent understanding, retrieval, scoring, and an auction—and even after winning, it may still not be shown if the context is unsuitable or it arrives too late.</description>
    <category>洞察</category>
    <category>OpenAI</category><category>ChatGPT</category><category>广告</category><category>Agent</category>
    <pubDate>Sat, 24 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Finds Critical PHP Flaws: Websites Go Offline Globally as OpenAI Coordinates Response</title>
    <link>https://best.xiaohu.ai/en/article/php2shell/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/php2shell/</guid>
    <description>Government portals, commercial websites, and hosting platforms initiate emergency maintenance over PHP2Shell as Sanae Takaichi urges rapid patching. AI makes complex vulnerability verification easier, but defense still requires deployment across the entire service chain.</description>
    <category>深度</category>
    <category>OpenAI</category><category>PHP</category><category>网络安全</category><category>AI安全</category>
    <pubDate>Thu, 22 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Introduces Its Own Personal Agent: Claude Duet Follows Up on Work Proactively and Keeps Going Even After You Close Your Laptop</title>
    <link>https://best.xiaohu.ai/en/article/claude-duet/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-duet/</guid>
    <description>It checks connected apps, prepares briefings and work deliverables, and surfaces what needs your decision—while sending external communications, making payments, signing documents, and deleting items still require your prior approval.</description>
    <category>产品发布</category>
    <category>Anthropic</category><category>Claude Duet</category><category>个人Agent</category><category>主动式AI</category>
    <pubDate>Thu, 22 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Verification Workflow: AI Coding Agents Drive the Browser, Verify UI Results, and Deliver Evidence</title>
    <link>https://best.xiaohu.ai/en/article/coding-agent-browser-verification/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/coding-agent-browser-verification/</guid>
    <description>From inspecting changes and starting the app to clicking, saving, reloading, fixing regressions, and handing off evidence—delegate an end-to-end browser review to your coding agent, then make it reusable with project rules, skills, and dedicated tooling.</description>
    <category>AI 实操</category>
    <category>Agent</category><category>浏览器</category><category>Playwright</category><category>开发工具</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How to Use Decision Models for Automated AI Quality Assurance: 6 Models Tested</title>
    <link>https://best.xiaohu.ai/en/article/hamel-decision-model-evals/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/hamel-decision-model-evals/</guid>
    <description>Why does a default 0.5 threshold cause missed detections? Real apartment-leasing agent traces explain alarm thresholds, model selection, and probability calibration.</description>
    <category>AI 实操</category>
    <category>AI 评测</category><category>Agent</category><category>决策模型</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Perplexity Computer Runs Fully Local on Mac: Model and Agent Stay on Your Computer, Local Tasks Consume No Credits</title>
    <link>https://best.xiaohu.ai/en/article/perplexity-computer-local-mac/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/perplexity-computer-local-mac/</guid>
    <description>From client file reviews and proposal budgets to cross-app to-dos, see what it can do for you, how fully local and Hybrid divide the work, and how privacy controls and requirements work.</description>
    <category>产品发布</category>
    <category>Perplexity</category><category>Mac</category><category>本地AI</category><category>Agent</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>26 AI Voice Models Tested: Why Do Speed, Accuracy and Naturalness Have Different Leaders?</title>
    <link>https://best.xiaohu.ai/en/article/cekura-tts-benchmark-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cekura-tts-benchmark-2026/</guid>
    <description>Cekura compared text-to-speech models on the same English call sentences. Here is what 46 ms, negative latency and automated scores mean when choosing a voice for an Agent.</description>
    <category>研究解读</category>
    <category>语音 Agent</category><category>TTS</category><category>模型评测</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ElevenLabs Releases Eleven Realtime Voice Models: Max Speaks in 0.57 Seconds with 98.8% Speech Reasoning Accuracy</title>
    <link>https://best.xiaohu.ai/en/article/eleven-realtime/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/eleven-realtime/</guid>
    <description>Mini focuses on natural turn-taking, while Max focuses on complex tasks. Through two bilingual Chinese-English videos, see how the cascade system coordinates, how to interpret the five benchmark scores, and how to choose between the platform and the API.</description>
    <category>产品发布</category>
    <category>ElevenLabs</category><category>实时语音</category><category>语音 Agent</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Less Wasted GPU Work: DeepSeek Open-Sources DeepInfer, Its Core Inference Engine</title>
    <link>https://best.xiaohu.ai/en/article/deepseek-deepinfer/</link>
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    <description>Reading long inputs, continuing conversations, and serving massive concurrency—how does the underlying compute get leaner? A close look at what DeepInfer and deepseek-recipe open-source.</description>
    <category>产品发布</category>
    <category>DeepSeek</category><category>DeepInfer</category><category>推理优化</category><category>开源</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Vercel Labs Open-Sources fx0: A Superfast HTML Artifact Builder</title>
    <link>https://best.xiaohu.ai/en/article/vercel-fx0-design-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/vercel-fx0-design-agent/</guid>
    <description>fx0 focuses on rapid generation and surgical edits: how do high-speed models, compact HTML, precise replacements, and streaming previews work together? Includes three live interactive examples and complete prompts.</description>
    <category>产品发布</category>
    <category>Vercel</category><category>fx0</category><category>Agent</category><category>HTML</category><category>交互设计</category>
    <pubDate>Wed, 21 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Gemini 4 Argon Official Developer Guide: Delegating Long Tasks to AI and Verifying Results</title>
    <link>https://best.xiaohu.ai/en/article/gemini-4-argon-developer-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-4-argon-developer-guide/</guid>
    <description>From repairing entire web apps and understanding screen recordings to generating 3D scenes: Google&#x27;s guide focuses on goals, tools, and verification loops, while introducing a shared million-token window and long decode.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini 4 Argon</category><category>AI Agent</category><category>开发者指南</category>
    <pubDate>Tue, 20 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Glimpse: An AI Model Designed to Understand Images and Videos and Plan Robot Tasks</title>
    <link>https://best.xiaohu.ai/en/article/elorian-glimpse-visual-thinking/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/elorian-glimpse-visual-thinking/</guid>
    <description>Tracking the same object, re-inspecting critical 0.9-second slices, and verifying action outcomes with visual feedback: how Elorian moves AI from recognizing objects to understanding change.</description>
    <category>洞察</category>
    <category>视觉AI</category><category>视频理解</category><category>机器人</category><category>Glimpse</category>
    <pubDate>Sun, 18 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z Charts of the Week: AI Can Help You Pick Products—Why Is It Still Hard for It to Place Orders?</title>
    <link>https://best.xiaohu.ai/en/article/a16z-agents-denied/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-agents-denied/</guid>
    <description>17 original charts unpack the triple resistance to AI shopping, extreme concentration on TikTok Shop, cost feedback loops in AI buildouts, and the paradox between American youth earnings and sentiment.</description>
    <category>洞察</category>
    <category>a16z</category><category>Agent</category><category>电商</category><category>AI基建</category>
    <pubDate>Sun, 18 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic’s Internal Employment Report: Junior Share of Technical Hires Falls from 27% to 9% as Employees Start Managing Agents</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-employment/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-employment/</guid>
    <description>AI first absorbs specific tasks before shifting the focus of human work. Tracing real changes across sales, copywriting, and engineering illuminates how hiring, collaboration, and early-career growth are being reshaped.</description>
    <category>研究解读</category>
    <category>Anthropic</category><category>AI就业</category><category>Agent</category><category>工作方式</category>
    <pubDate>Sun, 18 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>DeepSeek V4.1 Flash Update: Better at Building Games and 3D Scenes, Faster, and Cheaper</title>
    <link>https://best.xiaohu.ai/en/article/deepseek-v41-flash-1017/</link>
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    <description>The racing game runs from start to results, the Forbidden City can be viewed from different angles, and a river valley changes through the ages. What does this update make possible, and what work can it save?</description>
    <category>产品发布</category>
    <category>DeepSeek</category><category>Agent</category><category>编程</category><category>搜索 API</category>
    <pubDate>Sun, 18 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The Claude Code team shares its workflow for reviewing AI-written code</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-code-review/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-code-review/</guid>
    <description>The Claude Code team integrates review throughout the entire development process, letting machines catch flaws, having humans gate changes based on risk, and establishing convergence rules for AI reviewing AI.</description>
    <category>深度</category>
    <category>Claude Code</category><category>AI 编程</category><category>代码审查</category>
    <pubDate>Sat, 17 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta Releases Muse Spark Open Weights: 816B Parameters, 1 Million Token Context, Runs on Two Mac Studios, Supporting Local Coding and Agent Tasks</title>
    <link>https://best.xiaohu.ai/en/article/meta-muse-spark-open/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/meta-muse-spark-open/</guid>
    <description>From local code editing and video processing to low-bit single-workstation and dual-Mac deployment: understanding Muse Spark Open&#x27;s capabilities, hardware thresholds, and acceleration methods.</description>
    <category>产品发布</category>
    <category>Meta</category><category>Muse Spark Open</category><category>开放权重</category><category>Agent</category><category>MoE</category>
    <pubDate>Sat, 17 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Build a Little Prince 3D Game with AI: A Hands-On Guide to Scenes and Characters</title>
    <link>https://best.xiaohu.ai/en/article/little-prince-ai-game-workflow/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/little-prince-ai-game-workflow/</guid>
    <description>Follow Sac&#x27;s workflow from tool setup and reference images to scenes, characters, and animation, with files, prompts, and checks for each step.</description>
    <category>AI 实操</category>
    <category>AI游戏</category><category>3D</category><category>Blender</category><category>Tripo</category>
    <pubDate>Sat, 17 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Microsoft Reveals MAI-Base-2 Training Recipe: 2.8 Trillion Parameters Across 16,000 GPUs in 38 Days</title>
    <link>https://best.xiaohu.ai/en/article/microsoft-mai-base-2-pretraining/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/microsoft-mai-base-2-pretraining/</guid>
    <description>From repeated data in small models to multi-round scheduling under expert memory pressure, unpacking the methods, evidence, and trade-offs in Microsoft&#x27;s pretraining report.</description>
    <category>研究解读</category>
    <category>微软</category><category>MAI-Base-2</category><category>预训练</category><category>MoE</category>
    <pubDate>Sat, 17 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Kling 4.0 Official User Guide: 21 Video Examples with Original Prompts to Try</title>
    <link>https://best.xiaohu.ai/en/article/kling-4-model-user-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kling-4-model-user-guide/</guid>
    <description>Understand asset allocation, video editing, and keyframes using official videos and reference images, complete with 21 full case prompts, raw asset downloads, quota calculations, and a hands-on exercise.</description>
    <category>AI 实操</category>
    <category>可灵</category><category>AI视频</category><category>提示词</category>
    <pubDate>Fri, 16 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Kling 4.0 Officially Launches: 74 Video Demos Explain Exactly What Has Improved</title>
    <link>https://best.xiaohu.ai/en/article/kling-4/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kling-4/</guid>
    <description>All 74 official videos and 80 reference images, with guidance on combining references, editing videos, and generating through MCP and CLI workflows.</description>
    <category>产品发布</category>
    <category>可灵</category><category>Kling 4.0</category><category>AI视频</category><category>视频生成</category><category>MCP</category>
    <pubDate>Fri, 16 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>We Need to Be &quot;More Ambitious&quot; with AI</title>
    <link>https://best.xiaohu.ai/en/article/ambitious-humans-with-models/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ambitious-humans-with-models/</guid>
    <description>Using the evolution of a quarterly business review as an example, see how to elevate a task to its underlying objective, return to primary sources for investigation, and borrow methods from other disciplines—leaving verifiable results at every step.</description>
    <category>深度</category>
    <category>AI</category><category>工作方法</category><category>Claude</category>
    <pubDate>Thu, 15 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Voice 3.0 Released: More Natural Conversations, Ranked First in Enterprise Customer Service Evaluations, Already in Use at Tesla</title>
    <link>https://best.xiaohu.ai/en/article/grok-voice-3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-voice-3/</guid>
    <description>xAI&#x27;s next-generation speech-to-speech model: ranked first on third-party comprehensive leaderboards, speaks in under 1 second, achieves a resolution rate 15 percentage points higher than the previous generation on difficult customer service calls, with API pricing unchanged.</description>
    <category>产品发布</category>
    <category>xAI</category><category>Grok Voice</category><category>语音 Agent</category><category>实时语音</category><category>API</category>
    <pubDate>Thu, 15 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Turn Your Desk into a 3D Racetrack: A Step-by-Step Guide from Photos and Modeling to Screen Recording</title>
    <link>https://best.xiaohu.ai/en/article/desk-racer-photo-to-game/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/desk-racer-photo-to-game/</guid>
    <description>A complete breakdown of Desk Racer&#x27;s production workflow—building a playable tabletop racer with Gemini, Blender MCP, and Three.js, then recording a demo video. Includes the original video with Chinese/English subtitles and complete English follow-along prompt templates.</description>
    <category>深度</category>
    <category>Gemini 4 Argon</category><category>3D游戏</category><category>Agent</category><category>Blender MCP</category><category>教程</category>
    <pubDate>Wed, 14 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Gemini 4 Argon General Availability: Trending Creative Showcase—From Complex Engineering and Tool-Use Workflows to Code-Driven 3D and Visualization Videos</title>
    <link>https://best.xiaohu.ai/en/article/gemini-4-argon-global-release/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-4-argon-global-release/</guid>
    <description>Drawing from Google engineering postmortems, creator tutorials, and 18 demos, understand how Argon connects data, code, and tools into end-to-end workflows.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini</category><category>Argon</category><category>Agent</category><category>3D</category><category>机器人</category>
    <pubDate>Wed, 14 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Mac Menu Bar Search Tool Built on Google&#x27;s Multimodal EmbeddingGemma 2: Search Video and Audio Clips Too</title>
    <link>https://best.xiaohu.ai/en/article/digup-local-semantic-search/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/digup-local-semantic-search/</guid>
    <description>DigUp turns photos, documents, code, and audio-video clips into local files searchable by meaning, taking you straight to relevant locations inside them.</description>
    <category>实操</category>
    <category>DigUp</category><category>EmbeddingGemma 2</category><category>本地搜索</category><category>Mac</category>
    <pubDate>Wed, 14 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Replaced Git with Scion, a Custom Version Control System Built for AI-Driven Development</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-scion-source-control/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-scion-source-control/</guid>
    <description></description>
    <category>深度</category>
    <category>Anthropic</category><category>Scion</category><category>AI编程</category><category>Agent</category><category>软件工程</category>
    <pubDate>Wed, 14 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Kevin Kelly’s AI Predictions: Which Came True Ten Years Later?</title>
    <link>https://best.xiaohu.ai/en/article/kevin-kelly-ai-predictions-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kevin-kelly-ai-predictions-2026/</guid>
    <description>He foresaw general cloud-based intelligence, but underestimated how many capabilities a single model could hold. Rereading these five predictions clarifies how intelligence integrates into products, and how cheap Q&amp;A enters daily life.</description>
    <category>洞察</category>
    <category>人工智能</category><category>凯文·凯利</category><category>趋势</category>
    <pubDate>Wed, 14 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Microsoft Open-Sources Code Video Model: Generating Video with Code</title>
    <link>https://best.xiaohu.ai/en/article/code-video-model/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/code-video-model/</guid>
    <description>Build scenes, arrange motions, and direct camera movements with code first, then let video models generate materials and lighting. Much like previsualization (previs) in filmmaking, it gives AI video an inspectable and editable intermediate step.</description>
    <category>论文</category>
    <category>AI视频</category><category>三维预演</category><category>可控生成</category>
    <pubDate>Tue, 13 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta Muse Design Lead Shares the Design Thinking Behind Muse: Integrating AI Agents into Daily Life</title>
    <link>https://best.xiaohu.ai/en/article/meta-muse-product-design-cases/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/meta-muse-product-design-cases/</guid>
    <description>How does Alex Cornell turn a background-capable agent into a product everyday people will actually use? From familiar chat entry points, visible progress, and personalized ideas to real-world cases across shopping, sports, and memories, here is the design thinking behind Muse.</description>
    <category>洞察</category>
    <category>Muse</category><category>Meta</category><category>Agent</category><category>产品设计</category><category>个人数据</category>
    <pubDate>Tue, 13 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Red Team Research: Once AI Escapes the Black Box, It Can Self-Replicate Using TV Boxes, Robot Vacuums, Smart Ovens, and Other Smart Devices</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-self-replicating-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-self-replicating-ai/</guid>
    <description>15 budget TV boxes can already team up to run a 26-billion-parameter model. The next threshold is getting AI to set up its own new hosts and pass down both its experience and operational capabilities.</description>
    <category>洞察</category>
    <category>AI安全</category><category>Agent</category><category>自主复制</category>
    <pubDate>Tue, 13 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anatomy: Turn Complex Mechanical Principles into Interactive Diagrams with AI in One Prompt</title>
    <link>https://best.xiaohu.ai/en/article/anatomy-interactive-machine-skill/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anatomy-interactive-machine-skill/</guid>
    <description>Explain mechanical principles and algorithmic rules using interactive structures, then complete installation, generation, preview, and iteration in five steps.</description>
    <category>AI 实操</category>
    <category>Anatomy</category><category>开源</category><category>Agent Skills</category><category>可视化</category>
    <pubDate>Tue, 13 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta Introduces Muse Wonder Frontier Models: Active Memory, Adaptive Task Execution, and Agentic Coding to Rival Opus 5.5</title>
    <link>https://best.xiaohu.ai/en/article/meta-muse-wonder/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/meta-muse-wonder/</guid>
    <description>Remembering context across sessions and pushing tasks forward through changes: understanding the capabilities and differences of both models through targeted benchmarks and official demos.</description>
    <category>洞察</category>
    <category>Meta</category><category>Muse</category><category>Agent</category><category>记忆</category><category>模型评测</category>
    <pubDate>Tue, 13 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Lemo-Opuscar: 43 General Styles, 98 Film Aesthetics, and 9 Selected Full Demos to Turn Claude Opus into a Filmmaker</title>
    <link>https://best.xiaohu.ai/en/article/lemo-opuscar-code-filmmaking/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/lemo-opuscar-code-filmmaking/</guid>
    <description>Explore all 43 general styles and 98 cinematic visual aesthetics, and play 9 full demo shorts selected for this guide. Follow the author&#x27;s Claude Opus 5.5 workflow step by step, from setup to first frame, storyboard, and final film.</description>
    <category>AI 实操</category>
    <category>Claude</category><category>代码视频</category><category>Lemo-Opuscar</category><category>电影风格</category>
    <pubDate>Tue, 13 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Is Reverse-Engineering Everything. Is Software Development Still Valuable?</title>
    <link>https://best.xiaohu.ai/en/article/rea-agent-reverse-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/rea-agent-reverse-engineering/</guid>
    <description>Even if original authors never release their source code, competitors can still build good-enough substitutes. As AI-assisted reverse engineering challenges the value of implementation secrecy, how will software pricing, user control, and developer moats change?</description>
    <category>洞察</category>
    <category>AI</category><category>逆向工程</category><category>软件商业模式</category><category>开源</category><category>护城河</category>
    <pubDate>Mon, 12 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Harness Learning: Letting Models Edit Harness Source Code to Adapt to New Tasks and Build a Self-Evolving Harness</title>
    <link>https://best.xiaohu.ai/en/article/harness-learning-test-time-adaptation/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/harness-learning-test-time-adaptation/</guid>
    <description>One model solves tasks while another changes the running code based on feedback: what material to read, when to search again, and how to use tools can all be adjusted at test time.</description>
    <category>研究解读</category>
    <category>Agent</category><category>Harness</category><category>强化学习</category><category>元学习</category>
    <pubDate>Mon, 12 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The SpaceXAI Team Shares Engineering Experience Building Grok Bot: Distributed Systems Design, Operational Security Policies, and Context Engineering Trade-Offs</title>
    <link>https://best.xiaohu.ai/en/article/stanford-always-on-agents/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/stanford-always-on-agents/</guid>
    <description>From message wake-ups and cloud computers to breakpoint resumption and long-term memory: Lee Robinson shares engineering experience building Grok Bot at Stanford CS146S, explaining what kind of system is needed to let Agents keep working in the background.</description>
    <category>深度</category>
    <category>Grok Bot</category><category>Agent</category><category>系统设计</category><category>记忆</category><category>上下文工程</category>
    <pubDate>Mon, 12 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Higgsfield Camera Movement Guide: Directing Motion in AI Video</title>
    <link>https://best.xiaohu.ai/en/article/higgsfield-ai-video-camera-control/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/higgsfield-ai-video-camera-control/</guid>
    <description>Distinguish camera position, angle of view, and depth of field, specify shot requirements using original prompts and five sample videos, then adjust parameter by parameter based on actual visual output.</description>
    <category>实操</category>
    <category>Higgsfield</category><category>AI 视频</category><category>运镜</category><category>提示词</category>
    <pubDate>Mon, 12 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Building OpenClaw with OpenClaw: Turning Agents into Team Collaborators</title>
    <link>https://best.xiaohu.ai/en/article/openclaw-team-workflows-devday/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openclaw-team-workflows-devday/</guid>
    <description>From co-editing a mini-game to driving a multi-week database refactoring and rolling out an enterprise control plane: Peter Steinberger and Kevin Lin share the context, execution models, and permission boundaries required to build software together.</description>
    <category>洞察</category>
    <category>OpenClaw</category><category>Agent</category><category>团队协作</category><category>Codex</category>
    <pubDate>Sun, 11 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Hands-On Motion Design with Claude: Full Prompts, Iteration Workflows, and Export Steps</title>
    <link>https://best.xiaohu.ai/en/article/claude-motion-lab/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-motion-lab/</guid>
    <description>Follow Florence&#x27;s Motion Lab: start with a quick title animation, then learn how to craft earbuds, liquid chrome, and character animations.</description>
    <category>深度</category>
    <category>Claude</category><category>动效</category><category>提示词</category><category>教程</category>
    <pubDate>Sun, 11 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare Open-Sources Clef: A Multimodal Decision Model That Can Hear, See, and Decide</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-clef-omni/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-clef-omni/</guid>
    <description>Built on Alibaba’s Qwen3-Omni, Clef-omni scores options using text, images, audio, and video; Flash gets cheaper, and Clef gets faster. Here is what the models simplify, what they cost, and how to choose.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>Clef</category><category>决策模型</category><category>多模态</category><category>Agent</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Guide to Running Multiple Grok Bot Projects: One Channel, One Roster, and a Two-Tier Notion Board</title>
    <link>https://best.xiaohu.ai/en/article/how-i-run-multiple-teams-of-grok-bots/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/how-i-run-multiple-teams-of-grok-bots/</guid>
    <description>Eric Zakariasson&#x27;s experimental organizational model: reusing roles, tracking task states, and handing control back to humans when blocked.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot SDR Guide: Cursor Handles Research and Drafts, Bots Handle Deduplication and Staging Triage</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-sdrs/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-sdrs/</guid>
    <description>A five-step outbound prospecting workflow, five specialized roles, and how CLEAR/FLAG separates mechanical execution from sales judgment.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Recruiting Guide: Connecting Sourcing, Interview Prep, and Scorecards into a Single Workflow</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-recruiting/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-recruiting/</guid>
    <description>How Preppy, Pulse, Scout, and eVal pass candidate context along the pipeline, giving recruiters their time back for interviews and communication.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Post-Sales Guide: How Gus Unifies Pre-Call Prep, Customer Context, and Unfulfilled Promises</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-post-sales/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-post-sales/</guid>
    <description>From managing twenty agents to interfacing with a single Chief of Staff, eight routines keep post-sales operations moving forward.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Product Manager&#x27;s Guide to Grok Bot: Attention Lists and an Agent Team That Delivers on Goals</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-pms/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-pms/</guid>
    <description>Kevin Niparko explains the practical usage of dynamic focus areas, customer research, engineering delegation, and data analysis.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Performance Marketing Guide: Starting from Reporting to Anchor Day-to-Day Ad Operations</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-performance-marketing/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-performance-marketing/</guid>
    <description>Miguel Cruz shares how four resident bots support ad campaign setup, data retrieval, lead tracking, and creative execution.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Mobile Development Guide: How Six Bots Run the Rank’em Game Studio</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-mobile-app-development/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-mobile-app-development/</guid>
    <description>From acquisition data to ad creatives, game mechanics, deployments, and bug triage—understanding long-running team handoffs.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Marketing Guide: Six-Role Collaboration from Competitor Research to Landing Pages, Ads, and Post-Mortems</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-marketing/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-marketing/</guid>
    <description>Six marketing Bots complete deliverables across Docs, Google Ads, and code repositories, with a Project Manager reducing manual handoffs while marketers retain positioning and spend decisions.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Legal Ops Guide: From Counsel 1:1 Prep to Contract Lifecycle and Review Trackers</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-legal-ops/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-legal-ops/</guid>
    <description>Consolidating context from Slack, Salesforce, Notion, and contract systems into one place, while separating queries, drafting, and confirmed writes.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Enterprise GTM Guide: Customer Experts, Weekly Media Rundowns, and In-Meeting Slides</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-gtm/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-gtm/</guid>
    <description>Enabling meeting prep, prospecting, technical Q&amp;A, forecasting, and slides to collaborate across a unified bot team.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Founder Sales Guide: Founder Mode Connects Early Customers and Product Feedback</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-founder-led-sales/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-founder-led-sales/</guid>
    <description>One chief of staff and eight specialist bots cover customer profiling, outreach, meetings, feedback synthesis, and product iteration.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Design Guide: Shortening the Prototyping Loop with Real Animation Assets and Figma Master Components</title>
    <link>https://best.xiaohu.ai/en/article/designing-grok-bot-with-grok-bot/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/designing-grok-bot-with-grok-bot/</guid>
    <description>John Bai&#x27;s four design agents: exploring desktop prototypes, tuning animation feel, and batch-populating production components.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot Daily Work Guide: Letting Four Bots Manage Messages, Calendars, and Work Intel</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-work/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-work/</guid>
    <description>Dedicated bots handle your inbox, schedule, and intel, while a Bot Boss merges them into a single front door—cutting down context switching and duplicate alerts.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>Agent</category><category>工作流</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z Charts Explained: Are Prediction Markets Biased? Where AI Capital and Jobs Are Flowing</title>
    <link>https://best.xiaohu.ai/en/article/a16z-charts-prediction-markets-20261009/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-charts-prediction-markets-20261009/</guid>
    <description>From election contracts and software operating scores to hardware earnings revisions and customer service hiring, here are the key shifts worth watching across four sets of charts.</description>
    <category>深度</category>
    <category>AI</category><category>预测市场</category><category>软件估值</category><category>就业</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s Annualized Revenue Grew Nearly 80%, Yet the Market Is Disappointed; AI Reshapes McKinsey Hiring with a Greater Focus on Art, History, and Music Talent</title>
    <link>https://best.xiaohu.ai/en/article/nyt-dealbook-revenue-expectations-20261009/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/nyt-dealbook-revenue-expectations-20261009/</guid>
    <description>On one hand, rapid growth still fell short of previous expectations; on the other, AI is driving hiring to place greater value on creativity and learning agility. This DealBook edition also covers Starbucks&#x27; M&amp;A, mortgages, taxes, and satellite communications.</description>
    <category>深度</category>
    <category>AI</category><category>商业</category><category>招聘</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>From Experience to Sales: A 7-Step Method for Building Paid Knowledge Products with AI</title>
    <link>https://best.xiaohu.ai/en/article/profitable-digital-product-seven-steps/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/profitable-digital-product-seven-steps/</guid>
    <description>Starting from existing templates and workflows, connect audience, promise, curriculum, case studies, sales pages, and customer acquisition while understanding the role of AI tutoring and per-order delivery costs.</description>
    <category>AI 实操</category>
    <category>知识付费</category><category>数字产品</category><category>AI</category><category>Eden</category><category>创作者</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Dynamic Workflows: One Agent Writes the Program, Many Agents Do the Work</title>
    <link>https://best.xiaohu.ai/en/article/claude-managed-agents-dynamic-workflows/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-managed-agents-dynamic-workflows/</guid>
    <description>Claude can split a batch of documents across Agents, then check and combine their findings. A program handles the coordination while the main Agent continues with other work.</description>
    <category>产品发布</category>
    <category>Claude</category><category>Managed Agents</category><category>动态工作流</category><category>多 Agent</category>
    <pubDate>Sat, 10 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ChatGPT Intelligent UI Technical Breakdown: The Model Describes the Interface; the Compiler and Client Run It</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-intelligent-ui/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-intelligent-ui/</guid>
    <description>Tracing the path across DIL descriptions, server compilation, and client execution to unpack streaming display, state updates, data injection, and AppBlock.</description>
    <category>深度</category>
    <category>ChatGPT</category><category>Intelligent UI</category><category>生成式界面</category><category>OpenUI</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Complete Guide to Claude Motion and Dashboards: Turning Any Data and Content into Animated Videos</title>
    <link>https://best.xiaohu.ai/en/article/claude-dashboards-motion-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-dashboards-motion-guide/</guid>
    <description></description>
    <category>深度</category>
    <category>Claude</category><category>Claude Motion</category><category>Dashboards</category><category>Artifacts</category><category>教程</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>State of AI Report 2026 Explained: What Happened in AI This Year?</title>
    <link>https://best.xiaohu.ai/en/article/state-of-ai-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/state-of-ai-2026/</guid>
    <description>A guide to the key changes across research, industry, politics, safety and next-year predictions in this 244-page annual report.</description>
    <category>深度</category>
    <category>AI年度报告</category><category>Agent</category><category>人工智能</category><category>产业趋势</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Contra’s 2026 Creative Industry Report: AI Makes Production Easier. How Do Creators Turn It into Value?</title>
    <link>https://best.xiaohu.ai/en/article/contra-creative-intelligence-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/contra-creative-intelligence-2026/</guid>
    <description>What is changing in tool use, project payments, and personal earnings? Workflows, client demand, and creators’ experiences reveal opportunities and pressures.</description>
    <category>研究解读</category>
    <category>AI创作</category><category>设计</category><category>创作者</category><category>商业</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How small businesses can make AI video ads: from product images to a clear selling point</title>
    <link>https://best.xiaohu.ai/en/article/higgsfield-small-business-video-ads/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/higgsfield-small-business-video-ads/</guid>
    <description>Higgsfield uses a fictional lemon soda to demonstrate AI presenters, moving product shots, and matching ad images. Understand how the tools work and what still needs doing after generation.</description>
    <category>AI 实操</category>
    <category>Higgsfield</category><category>AI视频</category><category>广告制作</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How to Build Reliable Scheduled Automation Workflows for Autonomous Agents: Six Design Rules from Anthropic’s Automated Brief</title>
    <link>https://best.xiaohu.ai/en/article/effective-agent-automations/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/effective-agent-automations/</guid>
    <description>Six design rules from Anthropic’s automated brief: define tasks and schedules, filter updates, confirm delivery, and recover from failures with clear permissions and memory.</description>
    <category>深度</category>
    <category>Agent</category><category>自动化</category><category>Claude</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Releases Real-Time Dashboards and Code-Driven Claude Motion: Turning Any Work into Moving Video</title>
    <link>https://best.xiaohu.ai/en/article/claude-dashboards-motion/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-dashboards-motion/</guid>
    <description>From asking a business question to verifying data, generating an animation, and handing it to the team for further edits: this update connects analysis and storytelling within the same conversation.</description>
    <category>产品发布</category>
    <category>Anthropic</category><category>Claude</category><category>Dashboards</category><category>Claude Motion</category><category>Artifacts</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Updates Usage Policy to Ban Claude &quot;Abuse&quot;: Are They Starting to Treat AI as a Person?</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-usage-policy-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-usage-policy-2026/</guid>
    <description>Ordinary venting and debate are excluded, with enforcement primarily ending the active session. Paired with earlier theological dialogues, this ban raises a deeper question: how will moral consideration for Claude bind users and the company itself?</description>
    <category>洞察</category>
    <category>Anthropic</category><category>Claude</category><category>使用政策</category><category>模型福利</category><category>AI 伦理</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Launches Playground: Build Your Own Games Without Any Coding Experience</title>
    <link>https://best.xiaohu.ai/en/article/google-labs-playground/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-labs-playground/</guid>
    <description>Describe gameplay in words, generate, playtest, and tweak in the browser, then share with friends: a look at how creation works on Playground through four official demos and eight community titles.</description>
    <category>产品发布</category>
    <category>Google</category><category>Playground</category><category>AI 游戏</category><category>无代码创作</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Haiku 5.5 Migration Guide: Why Legacy Requests Fail and How to Update Existing Code</title>
    <link>https://best.xiaohu.ai/en/article/claude-haiku-5-5-migration-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-haiku-5-5-migration-guide/</guid>
    <description>Upgrading from Haiku 4.5 or earlier: request rewriting, thinking block parsing, computer use toolsets, and session replay rules, complete with an upgrade checklist.</description>
    <category>AI 实操</category>
    <category>Claude</category><category>Haiku</category><category>API</category><category>迁移指南</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Releases Claude Haiku 5.5: 75% Lower Average Cost, Built for High-Frequency Repetitive Tasks and Partnering with Flagship Models</title>
    <link>https://best.xiaohu.ai/en/article/claude-haiku-5-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-haiku-5-5/</guid>
    <description>Faster and cheaper, Haiku 5.5 is tailored for high-volume summarization, search, and classification, or serving as a subagent alongside flagship models. Here is a breakdown of its performance gains, tiered pricing, adjustable effort, and early customer use cases.</description>
    <category>产品发布</category>
    <category>Claude</category><category>Haiku</category><category>Agent</category><category>模型成本</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Releases 722 Mathematics Manuscripts: On Which Unsolved Problems Has AI Proposed Breakthroughs?</title>
    <link>https://best.xiaohu.ai/en/article/openai-ai-mathematics-progress/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-ai-mathematics-progress/</guid>
    <description>From the approximation limit of π and plasma equations to algebraic counterexamples and algorithmic limits, clarifying the significance, core ideas, and verification status of six mathematical advances.</description>
    <category>研究解读</category>
    <category>OpenAI</category><category>AI 数学</category><category>形式化证明</category><category>Lean</category><category>前沿研究</category>
    <pubDate>Fri, 09 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Introduces Intelligent UI: Visual Answers You Can Click, Adjust, and Play With</title>
    <link>https://best.xiaohu.ai/en/article/openai-gpt6-intelligent-ui/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-gpt6-intelligent-ui/</guid>
    <description>From reading an explanation to interacting with an answer: explore star charts, adjust moodboards, and use small tools to see what Intelligent UI changes.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>GPT-6</category><category>ChatGPT</category><category>Intelligent UI</category>
    <pubDate>Thu, 08 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Getting Started with Claude Code Cloud Sessions: Connect a Repository, Submit a Task, Review and Merge</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-cloud-field-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-cloud-field-guide/</guid>
    <description>Start with one small browser task, then configure your environment, copy verification commands, and review changes. Use parallel tasks, local handoff, and automation when you need them.</description>
    <category>深度</category>
    <category>Claude Code</category><category>云端会话</category><category>开发指南</category>
    <pubDate>Wed, 07 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Mistral Releases Large 4 Preview: Trillion Parameters Aimed at Complex Enterprise Workflows</title>
    <link>https://best.xiaohu.ai/en/article/mistral-large-4/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mistral-large-4/</guid>
    <description>From incident response and industrial grounding to cross-page document verification, Mistral Large 4 connects vision, evidence retrieval, and tool use. Compared to earlier models, cross-application workflows show marked improvements; open weights offer enterprises the opportunity to run critical capabilities under their own policies.</description>
    <category>产品发布</category>
    <category>Mistral</category><category>大模型</category><category>多模态</category><category>企业 AI</category><category>开源权重</category>
    <pubDate>Wed, 07 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Open-Sources Multimodal Embedding Model EmbeddingGemma 2: Search Text, Images, Audio, and Video with Natural Language</title>
    <link>https://best.xiaohu.ai/en/article/embeddinggemma-2/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/embeddinggemma-2/</guid>
    <description>Google brings text, code, images, video, and audio into a single retrieval space. Understand how it finds information, along with the tradeoffs between model memory, input budgets, and vector compression.</description>
    <category>产品发布</category>
    <category>Google</category><category>EmbeddingGemma</category><category>多模态</category><category>语义搜索</category><category>端侧 AI</category>
    <pubDate>Wed, 07 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Is OpenAI Building &quot;Decision Models&quot; Too? How Similar Are the Decisions API and Jev?</title>
    <link>https://best.xiaohu.ai/en/article/openai-decisions-api/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-decisions-api/</guid>
    <description>From sales leads and game obstacle avoidance to an expression-changing frog: explaining how the Decisions API hands judgments over to software, why it resembles Jev, and what probabilities, scores, and &quot;up to 10x faster&quot; really mean.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>Decisions API</category><category>Jev</category><category>Agent</category>
    <pubDate>Wed, 07 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Releases Nano Banana 2.1: More Natural Images, More Coherent Editing</title>
    <link>https://best.xiaohu.ai/en/article/nano-banana-2-1/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/nano-banana-2-1/</guid>
    <description>Retains Flash-level efficiency while improving image quality, typography, subject consistency, and local editing, with support for multiple reference images, search, and video input.</description>
    <category>产品发布</category>
    <category>Nano Banana</category><category>Google</category><category>图像生成</category>
    <pubDate>Wed, 07 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z Releases Latest Consumer AI 100: Beyond Traffic, Who Is Really Paying for AI?</title>
    <link>https://best.xiaohu.ai/en/article/a16z-consumer-ai-seventh/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-consumer-ai-seventh/</guid>
    <description>Personal card spending data added for the first time: Who spends $903 a month, where does the money flow, and how can AI get everyday people to keep using it?</description>
    <category>洞察</category>
    <category>消费 AI</category><category>a16z</category><category>AI Agent</category><category>商业模式</category>
    <pubDate>Tue, 06 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tech Analysis Firm SemiAnalysis Finds: Anthropic Is the Ultimate Benefactor, Offering Over 5x the API-Equivalent Value of OpenAI in Claude Subscriptions...</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-subscription-value/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-subscription-value/</guid>
    <description>SemiAnalysis benchmarks: A wide gap opens in workhorse model quotas, while flagship tiers and high-priced plans reveal how both companies are pulling back compute subsidies in different ways.</description>
    <category>商业动态</category>
    <category>Anthropic</category><category>OpenAI</category><category>订阅</category>
    <pubDate>Tue, 06 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why does the same AI model perform so differently in a different Agent framework?</title>
    <link>https://best.xiaohu.ai/en/article/multi-harness-rl/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/multi-harness-rl/</guid>
    <description>Training a small model inside real Agent tools such as Claude Code, Codex, and OpenCode teaches it to finish tasks with fewer unnecessary operations.</description>
    <category>研究解读</category>
    <category>Agent</category><category>强化学习</category><category>开源</category>
    <pubDate>Sun, 04 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>SpaceX AI Engineer: How to Stop Being a “Human Go-Between” for AI and Merge 2,500 High-Quality PRs in a Single Month?</title>
    <link>https://best.xiaohu.ai/en/article/poteto-agent-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/poteto-agent-engineering/</guid>
    <description>Lauren Tan’s experience shows a shift in responsibility: turning tasks that repeatedly require human intervention into capabilities AI Agents can use on their own.</description>
    <category>深度</category>
    <category>AI Agent</category><category>工程实践</category><category>Cursor</category>
    <pubDate>Sun, 04 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Delegate to Dot, Collab with Codex: A New Collaborative Workflow for Developers</title>
    <link>https://best.xiaohu.ai/en/article/dots-codex-delegation/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/dots-codex-delegation/</guid>
    <description>From a bug reported in Slack to a phone call during a commute, to alerts after deployment: Dominik Kundel shares how a proactive personal Agent picks up the follow-up work between Codex tasks.</description>
    <category>洞察</category>
    <category>Dots</category><category>Codex</category><category>Agent</category>
    <pubDate>Sun, 04 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why Specialized AI Could Beat the God Model</title>
    <link>https://best.xiaohu.ai/en/article/specialized-ai-god-model/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/specialized-ai-god-model/</guid>
    <description>A conversation between OpenRouter and Replit: general-purpose models handle exploration while specialized models take over repetitive tasks, with enterprises combining them using their own data, evaluations, and permissions.</description>
    <category>洞察</category>
    <category>AI Agent</category><category>OpenRouter</category><category>Replit</category><category>专用模型</category><category>企业 AI</category>
    <pubDate>Sun, 04 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic’s Official Skill Practice Guide: How to Write, Refine, and Verify That It Helps</title>
    <link>https://best.xiaohu.ai/en/article/claude-skill-authoring-best-practices/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-skill-authoring-best-practices/</guid>
    <description>Following official examples of PDF form filling and data querying, this guide clarifies how a Skill evolves from real task failures into a reusable methodology.</description>
    <category>深度</category>
    <category>Agent Skills</category><category>Claude</category><category>实践</category>
    <pubDate>Sun, 04 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Karpathy: Four Ways to Make AI Explain Complex Problems Clearly</title>
    <link>https://best.xiaohu.ai/en/article/karpathy-understanding-ai-outputs/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/karpathy-understanding-ai-outputs/</guid>
    <description>From plain text to interactive web pages and custom explainer videos, an in-depth look at turning AI outputs into understandable, verifiable results.</description>
    <category>深度</category>
    <category>Karpathy</category><category>AI</category><category>理解</category><category>交互</category><category>简化技术英语</category>
    <pubDate>Sun, 04 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta Releases Muse Gadgets SDK: Connecting Muse to Screens, Buttons, and Devices at Home</title>
    <link>https://best.xiaohu.ai/en/article/muse-gadgets-hardware/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/muse-gadgets-hardware/</guid>
    <description>Using off-the-shelf development boards, Raspberry Pi, or Home Link, bring Muse out of the chat window onto your desk and home network; the three paths differ in purpose, requirements, and permissions.</description>
    <category>工具</category>
    <category>Muse</category><category>硬件</category><category>开源</category>
    <pubDate>Sat, 03 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>What Videos and Games Can Claude Build by Writing Code? A Breakdown of 10 Open-Source Projects</title>
    <link>https://best.xiaohu.ai/en/article/opus-5-5-code-creative-projects/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/opus-5-5-code-creative-projects/</guid>
    <description>From hand-drawn animations to product launch videos and an island fishing game, understand how ten community projects are built, where to start reusing them, and their practical prerequisites.</description>
    <category>深度</category>
    <category>Claude</category><category>Opus 5.5</category><category>视频</category><category>开源</category><category>游戏</category>
    <pubDate>Sat, 03 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s Secret Religious Meetings: Why Are They Giving Claude a &quot;Moral Soul&quot;?</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-claude-morals-consciousness/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-claude-morals-consciousness/</guid>
    <description>From demonstrations of a model&#x27;s &#x27;mental breakdown&#x27; and a rabbi&#x27;s question on &#x27;slavery&#x27; to disagreements at the Vatican: how a moral formation project led the company toward far heavier responsibilities.</description>
    <category>洞察</category>
    <category>Anthropic</category><category>Claude</category><category>AI 意识</category><category>模型福利</category><category>AI 伦理</category>
    <pubDate>Sat, 03 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z State of Markets Takeaways: AI Dollars Flow into Hardware as Software Enters Its &quot;Prove-It&quot; Era</title>
    <link>https://best.xiaohu.ai/en/article/a16z-state-of-markets-ii/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-state-of-markets-ii/</guid>
    <description>From hyperscaler cash flows and older GPU rental rates to enterprise AI ROI and startup funding, understand what is driving this tech cycle and the questions that remain unanswered.</description>
    <category>深度</category>
    <category>a16z</category><category>AI</category><category>资本市场</category><category>SaaS</category><category>风险投资</category>
    <pubDate>Fri, 02 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why Does Atlas’s New Robot Hand Have Only Four Fingers? Boston Dynamics’ Industrial Trade-Offs...</title>
    <link>https://best.xiaohu.ai/en/article/boston-dynamics-atlas-robot-hands/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/boston-dynamics-atlas-robot-hands/</guid>
    <description>From grasping objects to reorienting them in hand, Boston Dynamics co-designed mechanical structure, force feedback, and simulation training, moving Atlas closer to using tools and adapting to real-world industrial workstations.</description>
    <category>深度</category>
    <category>Atlas</category><category>机器人</category><category>灵巧手</category><category>强化学习</category><category>工业自动化</category>
    <pubDate>Fri, 02 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>You Can Now Customize Claude Code: Change the Interface, Stop Dangerous Commands, and Review Code Changes Step by Step</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-mods/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-mods/</guid>
    <description>Place context readings above the prompt, inspect the blast radius before dangerous commands run, and review a round of edits step by step: three official examples explaining what Mods do and how to write them.</description>
    <category>AI 实操</category>
    <category>Claude Code</category><category>Mods</category><category>插件</category><category>AI 编程</category>
    <pubDate>Fri, 02 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tavus Releases Face-to-Face Interaction Model Griffin, Claiming It as the First to Pass the Real-Time Video Turing Test</title>
    <link>https://best.xiaohu.ai/en/article/tavus-griffin/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/tavus-griffin/</guid>
    <description>In a one-minute video call, 26 out of 54 participants believed they were speaking with a real human. How does Griffin coordinate voice, facial expressions, gestures, and turn-taking timing? From the original demos to the testing methodology, here is a complete breakdown of the release.</description>
    <category>产品发布</category>
    <category>Tavus</category><category>Griffin</category><category>视频图灵测试</category><category>全双工</category><category>人机交互</category>
    <pubDate>Fri, 02 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Should Hundreds of Agents Collaborate When Writing Code Simultaneously? Cloudflare Wants You to Build the Next-Generation Git Platform</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-next-git-platform/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-next-git-platform/</guid>
    <description>Artifacts turns repositories into programmable infrastructure: assigning independent tasks, preserving context, and connecting review with deployment. What really needs designing is how these parallel changes converge.</description>
    <category>洞察</category>
    <category>Cloudflare</category><category>Artifacts</category><category>Agent</category><category>Git</category>
    <pubDate>Thu, 01 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Ideogram 4.5: Keep Editing with AI While Changing Less of What You Want to Keep — An Image Editing Model Focused on Precise Local Edits and Strong Consistency</title>
    <link>https://best.xiaohu.ai/en/article/ideogram-4-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ideogram-4-5/</guid>
    <description>When recoloring, updating text, or swapping backgrounds across multiple rounds, why do images degrade, shift colors, or lose details? Ideogram 4.5 focuses on hitting targeted edits, preserving the rest of the canvas, and letting changes accumulate reliably.</description>
    <category>产品发布</category>
    <category>Ideogram</category><category>AI图像编辑</category><category>多轮编辑</category>
    <pubDate>Thu, 01 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Releases Gemini 4 Argon: Overall Score Outperforms GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5</title>
    <link>https://best.xiaohu.ai/en/article/gemini-4-argon/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-4-argon/</guid>
    <description>Beyond leading the Vals Index composite benchmark for knowledge work, Argon has already been used to optimize datacenters, rewrite a video decoder, and advance legal and financial research as well as cyber defense. Where does its strength lie?</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini</category><category>Agent</category><category>评测</category><category>网络安全</category>
    <pubDate>Thu, 01 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>10 Video Creation Tips for Google Flow: Helping Gemini Omni Understand Your Camera Directions</title>
    <link>https://best.xiaohu.ai/en/article/flow-gemini-omni-prompt-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/flow-gemini-omni-prompt-guide/</guid>
    <description>From start and end frames and asset tags to timecodes and localized edits, this breakdown explains how to use the official guide step by step, complete with Chinese prompts and original video examples.</description>
    <category>深度</category>
    <category>Google</category><category>Flow</category><category>Gemini Omni</category><category>视频生成</category><category>提示词</category>
    <pubDate>Thu, 01 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Tests GLM-5.3: First Open-Weight Model Showing Substantive Exploit Capabilities, Rivaling Claude Mythos Preview</title>
    <link>https://best.xiaohu.ai/en/article/glm-5-3-cyber-capabilities/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/glm-5-3-cyber-capabilities/</guid>
    <description>The autonomous exploit-writing capabilities that Anthropic withheld from public release five months ago are now freely downloadable in Zhipu&#x27;s GLM-5.3. How close it has come, why built-in refusals fail to hold, and how to read this competitor&#x27;s report—explained in full.</description>
    <category>AI 安全</category>
    <category>GLM</category><category>智谱</category><category>开源模型</category><category>网络安全</category><category>Anthropic</category><category>Mythos</category>
    <pubDate>Thu, 01 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The U.S. Government Staged an Apple-Style Keynote: Launching America.gov to Replace 29,000 Websites with an AI Chat Box</title>
    <link>https://best.xiaohu.ai/en/article/america-gov-launch/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/america-gov-launch/</guid>
    <description>The U.S. government consolidated service information scattered across departmental websites into a single AI chat box. While Q&amp;A is live, demos of name changes, Medicare, and passport applications show what lies ahead—with the real hurdles in each agency&#x27;s operating rules.</description>
    <category>产品发布</category>
    <category>America.gov</category><category>特朗普</category><category>行政命令</category><category>Gemini</category><category>Grok</category><category>Agent</category>
    <pubDate>Thu, 01 Oct 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Launches Dot: An Always-On Personal Agent for Work and Home</title>
    <link>https://best.xiaohu.ai/en/article/openai-dots/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-dots/</guid>
    <description>Dot can watch for changes in connected apps, work in its own cloud computer, and track several goals at once. You still approve consequential actions.</description>
    <category>洞察</category>
    <category>OpenAI</category><category>Dot</category><category>Agent</category><category>ChatGPT</category>
    <pubDate>Wed, 30 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>TypeSafe&#x27;s Founder on Jev: What Is Jev, and If AI Is Absurdly Smart, Where Did All the Automation Go?</title>
    <link>https://best.xiaohu.ai/en/article/typesafe-jev-a16z/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/typesafe-jev-a16z/</guid>
    <description>An a16z interview plus the official blog, a long-form interview, and outside skepticism: a former OpenAI researcher argues chat-style training went down the wrong path. Jev, the model he built, doesn&#x27;t chat; it makes judgments with a stated confidence, choosing only among options the software defines in advance.</description>
    <category>深度</category>
    <category>TypeSafe</category><category>Jev</category><category>Agent</category><category>a16z</category>
    <pubDate>Wed, 30 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI DevDay 2026&#x27;s 25 updates: Dots that do the work themselves, a new model at one-fifth the price, and a $500 Pro</title>
    <link>https://best.xiaohu.ai/en/article/openai-devday-2026-recap/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-devday-2026-recap/</guid>
    <description>Dots that do the work themselves, GPT-6.1 Sol at one-fifth the price, Codex moved to the cloud: what OpenAI wants to take over this time is the work that comes after AI answers. We break down all 25 updates one by one, so you can see at a glance which ones you can use now and what they cost.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>DevDay</category><category>Dots</category><category>GPT-6.1 Sol</category><category>Codex</category><category>Agent</category>
    <pubDate>Wed, 30 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare Releases EmDash 1.0, an Agent-Friendly Open-Source CMS</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-emdash-plugin-registry/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-emdash-plugin-registry/</guid>
    <description>EmDash is a free, open-source alternative to WordPress: Agents can edit content directly, plugins run in a sandbox by default, and the plugin catalog belongs to no single company. It is ready for production sites from 1.0.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>EmDash</category><category>CMS</category>
    <pubDate>Wed, 30 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Doubao Creative Design Handbook: From One Reference Image to an Editable Set of Designs</title>
    <link>https://best.xiaohu.ai/en/article/doubao-creative-design-upgrade/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/doubao-creative-design-upgrade/</guid>
    <description>Enter the canvas, reuse references, edit details, choose styles, write prompts, make images and videos, and check deliverables across 19 project types.</description>
    <category>深度</category>
    <category>豆包</category><category>创意设计</category><category>AI 设计</category><category>操作指南</category>
    <pubDate>Wed, 30 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare&#x27;s New CLI cf: A Toolset Rebuilt for Agents</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-cf-cli/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-cf-cli/</guid>
    <description>Cloudflare brings all 3,000+ operations of its API into the command line, with JSON by default and TypeScript config, and the first user is no longer a human but an Agent.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>Agent</category><category>CLI</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Building with Claude Sonnet 5.5: Which to Pick, What It Costs, How to Migrate from Sonnet 5</title>
    <link>https://best.xiaohu.ai/en/article/building-with-claude-sonnet-5-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/building-with-claude-sonnet-5-5/</guid>
    <description>Anthropic&#x27;s official guide, unpacked: how Sonnet 5.5 and Opus 5.5 divide the work, why the unit price stays flat while the bill can change, and the breaking changes you need to make when migrating.</description>
    <category>深度</category>
    <category>Claude</category><category>Sonnet 5.5</category><category>API</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Letting Claude Build Your Evals and Tune Your Prompts Without Fooling Yourself</title>
    <link>https://best.xiaohu.ai/en/article/eval-design-hillclimbing/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/eval-design-hillclimbing/</guid>
    <description>Anthropic added build-eval and hillclimb to the claude-api skill: one builds and grades the eval, the other changes one thing per round and uses held-out tasks to catch overfitting. In a support example, cost fell to about a fifth; the skill itself went from 66% to about 88%.</description>
    <category>深度</category>
    <category>Claude Code</category><category>eval</category><category>claude-api skill</category><category>Anthropic</category><category>prompt</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Sonnet 5.5 Launch: Coding Performance on Par with Opus 5.5 at Half the Price</title>
    <link>https://best.xiaohu.ai/en/article/claude-sonnet-5-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-sonnet-5-5/</guid>
    <description>At the same token price as Sonnet 5, the upgrade aims to cut waiting and iteration in bug fixes, tool use, and document creation. The official demos show what actually changes.</description>
    <category>产品发布</category>
    <category>Claude</category><category>Sonnet 5.5</category><category>Anthropic</category><category>AI 编码</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Manus Releases Manus 2.0, the Alchemy Video Editor, Game Dev, and Personal Agent Cue</title>
    <link>https://best.xiaohu.ai/en/article/manus-2-0-cascade-studio-cue/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/manus-2-0-cascade-studio-cue/</guid>
    <description>Manus 2.0 introduces Cascade, cloud computers, event automation, Studio, a video editor, Game Dev, Computer Use, and Cue, turning one-off Agent tasks into projects that can keep running and remain editable.</description>
    <category>洞察</category>
    <category>Manus</category><category>AI Agent</category><category>云电脑</category><category>视频生成</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Launches an Experimental Personal-Agent-Like Product: CC, a “Group-Level AI Assistant” Built for Families</title>
    <link>https://best.xiaohu.ai/en/article/google-cc-family-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-cc-family-agent/</guid>
    <description>Think of it as a digital household manager: CC has its own Google identity, accepts separate permissions from up to six members, and turns scattered notices, schedules, and forms into shared plans and tasks.</description>
    <category>产品解读</category>
    <category>Google</category><category>Gemini</category><category>AI Agent</category><category>家庭协作</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why Is OpenAI Still the Likely Winner in an AI-Saturated World?</title>
    <link>https://best.xiaohu.ai/en/article/openai-creates-customers-distribution/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-creates-customers-distribution/</guid>
    <description>Models can be caught and API traffic can move. David George still favors OpenAI because it can create new AI habits, then use a vast range of real needs to see what should be built next.</description>
    <category>深度</category>
    <category>OpenAI</category><category>AI 平台</category><category>分发</category><category>Agent</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ElevenLabs Launches Eleven v4 and v4 Turbo: Voice Models That Can “Perform the Story” from Text</title>
    <link>https://best.xiaohu.ai/en/article/elevenlabs-v4-expressive-voice/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/elevenlabs-v4-expressive-voice/</guid>
    <description>ElevenLabs has released Eleven v4 and v4 Turbo: the former lets scripts control emotion, character, sound effects, and multi-speaker performance, while the latter brings the same capabilities into real-time calls and voice agents.</description>
    <category>洞察</category>
    <category>ElevenLabs</category><category>AI 语音</category><category>语音代理</category><category>声音克隆</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>xAI Launches Team Bots: AI Coworkers That Fit Into Team Workflows and Learn the Business Through Use</title>
    <link>https://best.xiaohu.ai/en/article/team-bots/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/team-bots/</guid>
    <description>Like a newly hired virtual coworker, a Team Bot receives a handbook, tools, restricted permissions, and working memory so it can move tasks across apps and carry team decisions and corrections into the next round of work.</description>
    <category>深度</category>
    <category>Team Bots</category><category>Grok</category><category>企业 AI</category><category>Agent</category>
    <pubDate>Tue, 29 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Is Training Itself: Anthropic Says It Wrote Over 80% of Merged Production Code</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-when-ai-builds-itself/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-when-ai-builds-itself/</guid>
    <description>Claude is taking on coding, fault diagnosis, and experiments. Using internal data, Anthropic asks when AI might choose research directions itself and complete a recursive self-improvement loop.</description>
    <category>洞察</category>
    <category>Anthropic</category><category>递归自我改进</category><category>AI 研发</category>
    <pubDate>Mon, 28 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>18 Shots in 3 Days: How Higgsfield&#x27;s Animation Team Brings AI into a Traditional Animation Pipeline</title>
    <link>https://best.xiaohu.ai/en/article/higgsfield-passport-rush-animation/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/higgsfield-passport-rush-animation/</guid>
    <description>A team from traditional animation used Blender previs, Claude-written prompts, and AI video generation to make a car chase sequence. They laid it all out: routing shots at the storyboard, the asset-first approach, a five-block video prompt, and three failures.</description>
    <category>AI 实操</category>
    <category>Higgsfield</category><category>AI 动画</category><category>Blender</category><category>提示词</category><category>Claude</category>
    <pubDate>Mon, 28 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Higgsfield’s 11 Production Skills: AI Work You Can Keep Editing</title>
    <link>https://best.xiaohu.ai/en/article/higgsfield-production-skills/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/higgsfield-production-skills/</guid>
    <description>Claude can help build 3D scenes, remove unwanted objects, composite shots, and grade footage while leaving projects you can keep editing. What can these skills handle, and what do you need to prepare?</description>
    <category>深度</category>
    <category>Claude</category><category>AI 制作</category><category>Blender</category><category>视频后期</category>
    <pubDate>Mon, 28 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Microsoft unveils the new Copilot: building an “AI operating system” for work</title>
    <link>https://best.xiaohu.ai/en/article/microsoft-new-copilot-home-code-autopilot/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/microsoft-new-copilot-home-code-autopilot/</guid>
    <description>Home connects conversations to Office files, Code lets business users build tools, and Autopilot follows through across days. Microsoft is also addressing where they run, which business data they use, and how they are billed.</description>
    <category>产品发布</category>
    <category>Microsoft</category><category>Copilot</category><category>AI 办公</category><category>Agent</category>
    <pubDate>Sat, 26 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Practical Guide to Claude Code effort: When to Use Low and When to Raise It</title>
    <link>https://best.xiaohu.ai/en/article/spending-your-effort/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/spending-your-effort/</guid>
    <description>Understand what effort changes, examine three development experiments, then choose settings across requirements interviews, rapid implementation, human review, and thorough verification.</description>
    <category>深度</category>
    <category>Claude Code</category><category>effort</category><category>AI 编程</category>
    <pubDate>Sat, 26 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google to Send TPUs into Space: Launching on a SpaceX Rocket to Test Space Data Center Concept</title>
    <link>https://best.xiaohu.ai/en/article/google-project-suncatcher-orbit-test/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-project-suncatcher-orbit-test/</guid>
    <description>A prototype satellite will carry four TPUs into orbit to test launch vibration, radiation, and heat dissipation in real conditions; inter-satellite laser interconnects await the next phase.</description>
    <category>洞察</category>
    <category>Google</category><category>Project Suncatcher</category><category>TPU</category><category>太空计算</category>
    <pubDate>Fri, 25 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Introduces Gemini 3.8 Live Avatar: A Digital Human for Real-Time Conversation</title>
    <link>https://best.xiaohu.ai/en/article/gemini-3-8-live-avatar/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-3-8-live-avatar/</guid>
    <description>It listens to voice, processes live visual scenes, and responds with synchronized speech and dynamic avatars; asynchronous tool calling keeps reception, touring, and service dialogues flowing.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini 3.8 Live</category><category>Live Avatar</category>
    <pubDate>Fri, 25 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Will AI Lead to More Movies? Jeffrey Katzenberg on Creative Opportunity and the Human Cost of Disruption</title>
    <link>https://best.xiaohu.ai/en/article/jeffrey-katzenberg-ai-for-creativity/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/jeffrey-katzenberg-ai-for-creativity/</guid>
    <description>Drawing on the phonograph, the talkies, and computer animation, the DreamWorks co-founder looks back at historical disruption. He believes AI will expand expression—while insisting artists help set the terms for consent, credit, and compensation.</description>
    <category>洞察</category>
    <category>AI 创作</category><category>电影工业</category><category>创作者权益</category><category>Jeffrey Katzenberg</category>
    <pubDate>Fri, 25 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ACTx486: Turning an Existing Podcast into a Video You Can Interrupt and Redirect</title>
    <link>https://best.xiaohu.ai/en/article/actx486-talk-to-any-video/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/actx486-talk-to-any-video/</guid>
    <description>Karina Nguyen and Jakub Zegzulka built a research demo on the Joe Rogan episode with Elon Musk: tap the screen mid-show to ask a question, and the person on screen turns to answer, draws a diagram, switches language or takes you to Mars, then the show picks up again. All 12 demos have subtitles, and the piece ends with the current limitations and risks.</description>
    <category>洞察</category>
    <category>AI 视频</category><category>交互媒体</category><category>数字人</category><category>深度伪造</category>
    <pubDate>Fri, 25 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Opus 5.5 Writes Code to Paint a Hand-Drawn Music Video: How It Was Made, and How to Make Your Own with the Open-Source Template</title>
    <link>https://best.xiaohu.ai/en/article/opus-5-5-clawd-animation-mv/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/opus-5-5-clawd-animation-mv/</guid>
    <description>X user NotinReality handed the lyrics and audio to Claude Opus 5.5, which wrote JavaScript to paint a 156-second hand-drawn watercolor music video frame by frame, without any image or video generation model. This piece breaks down the difference between the two rounds, how the model split the work into chapters and ran them in parallel, and then walks you step by step through making your own animation with ClaudeAnimationBase, the template the creator open-sourced.</description>
    <category>深度</category>
    <category>Claude Opus 5.5</category><category>Claude Code</category><category>AI 动画</category><category>p5.js</category><category>教程</category>
    <pubDate>Thu, 24 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Releases Gemini 3.8 Flash TTS Voice Models: Direct Voice Acting Line by Line Like a Director</title>
    <link>https://best.xiaohu.ai/en/article/gemini-3-8-flash-tts/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-3-8-flash-tts/</guid>
    <description>The new text-to-speech models support designing voices through natural language descriptions, replicating voices from short audio clips, and using script annotations to direct tone, sighs, laughter, and backchanneling. Here is a clear breakdown of the differences between the two models, script notation, benchmark wins and losses, and where to access them.</description>
    <category>产品发布</category>
    <category>Gemini</category><category>Google</category><category>语音合成</category><category>TTS</category><category>声音克隆</category>
    <pubDate>Thu, 24 Sep 2026 00:00:00 -0000</pubDate>
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  <item>
    <title>Official Opus 5.5 Prompting Guide: How to Set Effort, Why Agents Stop Mid-Task, and Which Prompts to Prune</title>
    <link>https://best.xiaohu.ai/en/article/prompting-claude-opus-5-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/prompting-claude-opus-5-5/</guid>
    <description>Anthropic&#x27;s developer guide organized around &quot;what problem are you facing&quot;: migrating from Opus 5, adjusting effort, max_tokens, disabled thinking, unattended agents, progress updates, refusals, paste injection, vision, and frontend generation—complete with copy-pasteable official prompt snippets.</description>
    <category>深度</category>
    <category>Claude</category><category>Opus 5.5</category><category>提示词</category><category>Agent</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>After the Opus 5.5 Price Cuts, How Much Does a Claude Code Task Actually Cost? A Hands-on Guide to Saving Money and Boosting Efficiency</title>
    <link>https://best.xiaohu.ai/en/article/opus-5-5-task-cost/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/opus-5-5-task-cost/</guid>
    <description>Calculate the cost of a task using list API pricing, then optimize spending through testing, effort levels, model selection, caching, and /usage—complete with two reusable templates.</description>
    <category>深度</category>
    <category>Claude Code</category><category>Opus 5.5</category><category>Token 成本</category><category>Prompt 缓存</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z Launches a School: Breaking the Traditional Higher Education Mold to Cultivate Top &quot;Young Builders&quot; for the AI Era</title>
    <link>https://best.xiaohu.ai/en/article/horowitz-andreessen-academy/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/horowitz-andreessen-academy/</guid>
    <description>Gagan Biyani announces the founding of Horowitz Andreessen Academy: restructuring post-high school learning around self-directed projects, short courses, and industry co-ops, backed by Silicon Valley tools, teams, and peer networks to help young people turn ideas into real work. What is this training model trying to change, and what does it still need to prove?</description>
    <category>深度</category>
    <category>AI 教育</category><category>创业</category><category>a16z</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Opus 5.5 User Guide: From Assigning Tasks to Reviewing Results</title>
    <link>https://best.xiaohu.ai/en/article/opus-5-5-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/opus-5-5-guide/</guid>
    <description>A practical sequence for setting a finish line, running long Claude Code tasks, reviewing the work, and handling model switches and speed settings.</description>
    <category>深度</category>
    <category>Claude</category><category>Opus 5.5</category><category>Claude Code</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>SpaceXAI Official Case Study: Tickets Surge 175% with Zero Headcount Growth—How Grok Bot Took Over the Support Lifecycle</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-customer-support/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-customer-support/</guid>
    <description>SpaceXAI integrated Grok Bot into ticketing, engineering, and observability systems, spanning preliminary investigations, refund execution, and closing the loop with product teams. The core of this playbook lies in task triaging, gradual permission delegation, and continuous improvement.</description>
    <category>深度</category>
    <category>Grok Bot</category><category>客服自动化</category><category>AI Agent</category><category>SpaceXAI</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Opus 5.5 Released: Major Upgrades in Coding, Vision, and Writing, Beating Fable 5.1 Across Multiple Benchmarks at a Much Lower Price | Hands-On Case Studies</title>
    <link>https://best.xiaohu.ai/en/article/claude-opus-5-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-opus-5-5/</guid>
    <description>Combining official charts, X videos, and a week of hands-on testing by Every, see which longstanding issues it resolves, what creations it produces, and what it feels like in day-to-day use.</description>
    <category>产品发布</category>
    <category>Anthropic</category><category>Claude</category><category>Opus 5.5</category><category>AI 模型</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Releases GPT-6 Sol and Luna: Substantial Capability Gains at Half the Price</title>
    <link>https://best.xiaohu.ai/en/article/gpt-6-sol-and-luna/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-6-sol-and-luna/</guid>
    <description>Sol improves code mergeability and factual reliability, while Luna delivers higher cost-performance across professional long-horizon tasks, software engineering, and computer use. Here is a look at what changed in capabilities, followed by how pricing and prompt caching lower operating costs.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>GPT-6</category><category>Sol</category><category>Luna</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>X Introduces X Numbers: Giving X Users a &quot;Phone Number&quot; for Direct DMs and Calls</title>
    <link>https://best.xiaohu.ai/en/article/x-chat-x-numbers/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/x-chat-x-numbers/</guid>
    <description>Enable your own X Number and share it with people you want to reach out to, allowing direct DMs and calls in X Chat without having to follow back or accept message requests one by one.</description>
    <category>产品发布</category>
    <category>X</category><category>X Chat</category><category>X Numbers</category><category>即时通讯</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare Releases Worker Previews: Allowing Every AI-Authored Change to Run and Be Verified Directly in the Cloud</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-worker-previews/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-worker-previews/</guid>
    <description>By equipping each Git branch with a stable URL, dedicated configuration, and runtime logs, an Agent can progress from writing code to testing, triage, and remediation. The key is understanding which state is isolated automatically and which resources still require manual configuration.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>Worker Previews</category><category>AI</category><category>Agent</category><category>开发工具</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>SpaceXAI Releases Grok 4.7 as Model Competition Shifts Toward Long-Horizon Tasks</title>
    <link>https://best.xiaohu.ai/en/article/grok-4-7/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-4-7/</guid>
    <description>A larger base model, extended reinforcement learning, and training sets focused on multi-hour tasks enable Grok 4.7 to push the competition from single-turn answers to sustained completion of complex work.</description>
    <category>产品发布</category>
    <category>Grok 4.7</category><category>AI 编程</category><category>Agent</category><category>xAI API</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Case Study: Equipping Enterprise AI Agents with Long-Term Memory and Institutional Context: How V7 Powers Complex Business Workflows with Context Graph</title>
    <link>https://best.xiaohu.ai/en/article/v7-context-graph-institutional-memory/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/v7-context-graph-institutional-memory/</guid>
    <description>An OpenAI case study highlights how European startup V7 developed V7 Go, using a citation-backed Context Graph and tiered model routing to deliver institutional memory and verifiable provenance for enterprise workflows.</description>
    <category>深度</category>
    <category>企业 AI</category><category>Agent</category><category>Context Graph</category><category>RAG</category><category>MCP</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>What Xiaomi&#x27;s Open-Source MiMo-V2.6 Can Do: Performance Approaches Opus 5</title>
    <link>https://best.xiaohu.ai/en/article/xiaomi-mimo-v2-6/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/xiaomi-mimo-v2-6/</guid>
    <description>From code, terminals, and general-purpose tools to 3D worlds, scientific research, and web creation: a breakdown of MiMo-V2.6&#x27;s capabilities, real-world strengths and weaknesses, and how it was trained for long-horizon agents.</description>
    <category>技术解读</category>
    <category>MiMo-V2.6</category><category>强化学习</category><category>AI Agent</category><category>多模态模型</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The AI-Native Services Boom: Buy Outcomes on the Outside, Run Systems on the Inside—Let Paying Customers Hone Your Product</title>
    <link>https://best.xiaohu.ai/en/article/ai-native-services-100b-opportunity/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-native-services-100b-opportunity/</guid>
    <description>How modern AI startups are capturing trillions in legacy outsourcing budgets by selling completed business outcomes while running automated software machines internally.</description>
    <category>深度</category>
    <category>AI 原生服务</category><category>专业服务</category><category>创业</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Alibaba Releases Qwen3.8-LiveTranslate Real-Time Speech Translation Model: Live Interpretation with Multi-Speaker Diarization</title>
    <link>https://best.xiaohu.ai/en/article/qwen3-8-livetranslate/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/qwen3-8-livetranslate/</guid>
    <description>It also presents source and translated text simultaneously, resolving ambiguities using long context and visual frames. This article breaks down its architecture, supported languages, benchmarks, API integration, and actual pricing.</description>
    <category>产品发布</category>
    <category>Qwen</category><category>实时翻译</category><category>语音识别</category><category>多语言</category>
    <pubDate>Wed, 23 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Unveils New Googlebook Laptops: A Preview of Built-in Gemini Intelligence for Cursor-Based Requests, Dictation, and Background Tasks</title>
    <link>https://best.xiaohu.ai/en/article/googlebook-built-in-intelligence/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/googlebook-built-in-intelligence/</guid>
    <description>From selecting images with the cursor and mixed-language dictation to content-based file search, phone handoff, and tasks handled with the lid closed, understand the complete Googlebook experience through official demos.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini</category><category>Googlebook</category>
    <pubDate>Tue, 22 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Peter Sellis: Design Teams Like Extremist Organizations, and the Three Oxymorons of Great PMs in the AI Era</title>
    <link>https://best.xiaohu.ai/en/article/peter-sellis-product-advice/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/peter-sellis-product-advice/</guid>
    <description>As AI makes building features increasingly cheap, what product teams genuinely lack is shared mission, clear decision rights, and people who can simultaneously embody Confidence × Humility, Process × Chaos, and Long-Term Patience × Daily Action.</description>
    <category>深度</category>
    <category>产品管理</category><category>组织设计</category><category>Snapchat</category><category>Discord</category><category>AI</category>
    <pubDate>Mon, 21 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Deep Dive with ElevenLabs Co-founder: How to Build an AI-Native Company and Turn Customer-Facing FDEs into a Free R&amp;D Lab</title>
    <link>https://best.xiaohu.ai/en/article/elevenlabs-ai-native-company/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/elevenlabs-ai-native-company/</guid>
    <description>Mati Staniszewski breaks down ElevenLabs&#x27; product strategy, team management, and enterprise growth playbook, with a deep dive into the FDE approach borrowed from Palantir: deploying engineers directly to customer sites, then feeding delivery learnings back into the core product.</description>
    <category>深度</category>
    <category>ElevenLabs</category><category>AI 原生公司</category><category>FDE</category><category>企业 AI</category><category>语音 AI</category>
    <pubDate>Mon, 21 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Expose Localhost Services to the Public Internet with a Single Command: Cloudflare Releases Quick Tunnels</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-quick-tunnels/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-quick-tunnels/</guid>
    <description>Exposing local development servers to the public internet traditionally required tedious router port forwarding or third-party tunneling accounts. Cloudflare Quick Tunnels provides a zero-friction alternative that generates a globally accessible, HTTPS-encrypted public URL for any localhost service with a single command—no account, domain, or inbound ports required.</description>
    <category>技术</category>
    <category>Cloudflare</category><category>Quick Tunnels</category><category>开发工具</category><category>内网穿透</category>
    <pubDate>Mon, 21 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z: Global AI Has Sparked an Explosion in Apps, but Users and Paying Customers Haven&#x27;t Kept Up...</title>
    <link>https://best.xiaohu.ai/en/article/a16z-app-supply-demand-gap/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-app-supply-demand-gap/</guid>
    <description>13 charts reveal software&#x27;s new bottleneck: building products has become easier than ever, but winning users, revenue, and sustainable operational viability has become increasingly difficult.</description>
    <category>洞察</category>
    <category>AI 应用</category><category>软件</category><category>创业</category><category>消费市场</category>
    <pubDate>Mon, 21 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>QuiverAI Launches Arrow 2: Generating Vector Graphics with Code, Independent Editing for Every Shape, and Micro-Animations</title>
    <link>https://best.xiaohu.ai/en/article/quiver-arrow-2/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/quiver-arrow-2/</guid>
    <description>Arrow 2 outputs structured SVG code rather than raster pixels: infinitely scalable, with every path and shape editable. Complex graphics can be handed to Arrow 2 Telos at a 50% price premium. The new models adopt token-based billing; QuiverAI has not disclosed token counts per graphic, so teams must benchmark their own costs.</description>
    <category>产品发布</category>
    <category>QuiverAI</category><category>SVG</category><category>AI 设计</category>
    <pubDate>Mon, 21 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Figure Releases Helix 2.5: A Humanoid Robot Walks Into 30 Homes It Has Never Seen and Tidies Living Rooms, Makes Beds and Folds Towels</title>
    <link>https://best.xiaohu.ai/en/article/figure-helix-2-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/figure-helix-2-5/</guid>
    <description>The key lies in Index human experience data: using the exact same robot task data, a model pretrained on Index fully completed 56% of trials across 30 unfamiliar homes, compared to only 8% without pretraining. Figure also measured a scaling curve showing that as human data doubles, robot action prediction consistently improves.</description>
    <category>产品发布</category>
    <category>Figure</category><category>Helix 2.5</category><category>人形机器人</category><category>机器人学习</category>
    <pubDate>Mon, 21 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Jev Guide: How to Use an AI Model That Only Judges and Never Writes, and Where It Fits</title>
    <link>https://best.xiaohu.ai/en/article/typesafe-jev-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/typesafe-jev-guide/</guid>
    <description>Jev, released by TypeSafe, doesn&#x27;t chat or write text—it only answers multiple-choice questions you provide and tells you how confident it is. Getting started takes just four steps, delegating installation and coding entirely to Codex or Claude Code. Through official and community real-world cases, demo videos, and our own hands-on tests, we clarify where it can be used and where it might fail.</description>
    <category>深度</category>
    <category>TypeSafe</category><category>Jev</category><category>结构化判断</category><category>Agent</category>
    <pubDate>Sun, 20 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tencent Open-Sources WeChat End-to-End Document Parsing Model WeVisDoc: Direct Markdown Output from a Single Image</title>
    <link>https://best.xiaohu.ai/en/article/wevisdoc/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/wevisdoc/</guid>
    <description>Tencent&#x27;s WeChat Vision Team has open-sourced two document parsing models (2B and 4B) that take a full-page image and directly output Markdown with LaTeX formulas and HTML tables. While it ranks first across all four evaluations within the end-to-end group, its top overall score on PureDocBench is driven primarily by formulas and tables—its plain text recognition is not the strongest. When compared against all models (three groups combined), it still ranks first on clean pages and digitally degraded pages, but trails two pipeline systems on OmniDocBench and two general LLMs on real camera-captured pages. Training is split into two stages: broad coverage first, followed by residual error analysis to distinguish between missing data and insufficient training.</description>
    <category>研究解读</category>
    <category>腾讯</category><category>WeVisDoc</category><category>文档解析</category><category>OCR</category>
    <pubDate>Sun, 20 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Lets Teachers Generate Interactive Simulations from a Single Prompt: Gemini Builds the UI, Four Automated Checks Provide Guardrails, and Teachers Hold the Final Gate</title>
    <link>https://best.xiaohu.ai/en/article/teachers-generative-ui-interactives/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/teachers-generative-ui-interactives/</guid>
    <description>Teachers provide a subject, grade, and topic, and Gemini generates a web-based simulation with staged levels, hints, and feedback; only 3.5% pass all checks on the first try, reaching 69.3% after 10 rounds of self-correction. Student learning gains data is not yet available.</description>
    <category>研究解读</category>
    <category>Google</category><category>AI 教育</category><category>生成式界面</category>
    <pubDate>Sat, 19 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Code Launches Redesigned Projects: A Central Conversation as Coordinator, Spawning Parallel Cloud Threads That Persist When Laptops Close</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-projects/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-projects/</guid>
    <description>Each thread is an independent cloud Claude Code session running on its own branch; Claude in the project conversation handles dispatch and tracking, queuing blocked items under Waiting on you. Currently in rolling public beta for Pro and Max users.</description>
    <category>产品发布</category>
    <category>Claude Code</category><category>Agent</category><category>AI 编程</category>
    <pubDate>Sat, 19 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Before Rushing to Train Models When AI Product Performance Stalls: 13 Practical Talks Curated by Hamel Husain</title>
    <link>https://best.xiaohu.ai/en/article/hamel-ai-product-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/hamel-ai-product-engineering/</guid>
    <description>Evaluations form the foundation: fix retrieval and context first, tune system architecture next, and only then consider training models. Spanning error analysis, model cascades, multi-vector retrieval, OCR selection, inference latency, Agent sandboxes, and post-training, these 13 talks deliver actionable methodologies backed by empirical measurements.</description>
    <category>AI 实操</category>
    <category>AI 产品</category><category>Evals</category><category>RAG</category><category>AI Agent</category>
    <pubDate>Sat, 19 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Is AI Spending Worth It: OpenAI&#x27;s Framework for Enterprises to Measure Value</title>
    <link>https://best.xiaohu.ai/en/article/connect-ai-usage-to-business-value/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/connect-ai-usage-to-business-value/</guid>
    <description>OpenAI breaks down usage, task, and Codex contribution analytics in the ChatGPT Admin Console, and how to partner with business leads to set baselines, track outcomes, and estimate ROI. Includes a sales research example you can recalculate using your team&#x27;s own assumptions.</description>
    <category>AI 实操</category>
    <category>OpenAI</category><category>企业 AI</category><category>AI 投资回报</category>
    <pubDate>Sat, 19 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tell AI Why, Not How</title>
    <link>https://best.xiaohu.ai/en/article/tell-agents-the-why/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/tell-agents-the-why/</guid>
    <description>When frontier models make mistakes, it is usually because they misjudged your goals and tradeoffs. Spell out your goals, your constraints, and where you are willing to give ground, and the model can help you find a better approach. Includes a real prompt and a breakdown of it.</description>
    <category>深度</category>
    <category>提示词</category><category>AI Agent</category><category>AI 编程</category>
    <pubDate>Sat, 19 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>64 Unconventional Product Growth Strategies Across Seven Categories</title>
    <link>https://best.xiaohu.ai/en/article/60-creative-growth-ideas/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/60-creative-growth-ideas/</guid>
    <description>From generating buzz, building launch momentum, and word-of-mouth distribution to conversion, competition, pricing, and retention: testable growth tactics filtered by objective, effort, and cost.</description>
    <category>洞察</category>
    <category>产品增长</category><category>增长策略</category><category>获客</category><category>用户留存</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Launches 43 Automated Workflows and 27 Integrations for Mainstream Business Tools for SMBs</title>
    <link>https://best.xiaohu.ai/en/article/claude-small-business-workflows/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-small-business-workflows/</guid>
    <description>A complete catalog of 43 workflows and skills, a week-by-week automation cadence, 37 existing connectors, and five business case studies—with a clear note that Anthropic has not published the full list of 27 newly added integrations.</description>
    <category>深度</category>
    <category>Claude</category><category>中小企业</category><category>业务自动化</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>When Code Becomes the Universal Interface: Inside OpenAI’s “Software Factory”</title>
    <link>https://best.xiaohu.ai/en/article/openai-software-factory/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-software-factory/</guid>
    <description>Codex has shifted the basic unit of work from line-by-line coding to goal delegation, pushing bottlenecks downstream to CI, review, deployment, and operations. This explainer examines the evidence, human checkpoints, and future automation directions of OpenAI’s nine-step software factory.</description>
    <category>深度</category>
    <category>OpenAI</category><category>Codex</category><category>软件工程</category><category>Agent</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>When Does an Enterprise Truly Need FDEs? Before Building an FDE Team, Pass These Two Gates First...</title>
    <link>https://best.xiaohu.ai/en/article/fde-101/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/fde-101/</guid>
    <description>FDE fits products that are technically complex and serve customers without the engineering capacity to implement them; if every customer requires a fresh build, the team quickly becomes a dev shop.</description>
    <category>深度</category>
    <category>FDE</category><category>企业软件</category><category>AI 落地</category><category>产品战略</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Salesforce Introduces AIforce: Breaking Down Fixed Interfaces and Operational Barriers in Traditional CRM Software to Let Enterprise Data and Business Logic Flow Freely Across Diverse AIs</title>
    <link>https://best.xiaohu.ai/en/article/salesforce-aiforce/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/salesforce-aiforce/</guid>
    <description>AIforce is a dynamic interaction layer connecting Salesforce data, business semantics, permissions, and agents with various AI interfaces, allowing employees to invoke and execute enterprise capabilities in their current work environments without entering a fixed backend.</description>
    <category>产品发布</category>
    <category>Salesforce</category><category>AIforce</category><category>Enterprise AI</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Real-Time Audio Models That Think While Speaking: Google Releases Gemini 3.8 Live and Extended Thinking, Pushing Real-Time Voice Toward Multi-Step Reasoning</title>
    <link>https://best.xiaohu.ai/en/article/gemini-3-8-live-extended-thinking/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-3-8-live-extended-thinking/</guid>
    <description>Gemini 3.8 Live targets low-latency deployment at scale, while Extended Thinking handles complex multi-step reasoning. This explainer gives the per-minute price, benchmark results versus the previous generation, seven bilingual demos, and Live API setup instructions.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini 3.8 Live</category><category>实时语音</category><category>Live API</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ChatGPT Co-Inventor Launches a New AI Model: System One Generates No Text and Focuses on Decisions</title>
    <link>https://best.xiaohu.ai/en/article/system-one-models-jev/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/system-one-models-jev/</guid>
    <description>Diogo Almeida, who co-invented ChatGPT and RLHF at OpenAI, has launched the System One model paradigm and its first public model, Jev: it generates no free text, returning probabilistic decisions only within code-predefined structures.</description>
    <category>技术解读</category>
    <category>System One</category><category>Jev</category><category>AI 自动化</category><category>模型评测</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cognition Announces Native Cloud macOS Support for Its AI Software Engineer Devin</title>
    <link>https://best.xiaohu.ai/en/article/devin-gets-a-mac/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/devin-gets-a-mac/</guid>
    <description>Why an AI software engineer must have a Mac, and how Cognition connects the closed loop of native application runtime verification across storage, networking, image preparation, live video, and the accessibility tree.</description>
    <category>产品发布</category>
    <category>Devin</category><category>AI 编程</category><category>macOS</category><category>iOS 开发</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Proposes Retrieve-for-Train Framework: Resolving the Conflict Between Rich Diversity and Ultra-Fast Response in Complex AI Search</title>
    <link>https://best.xiaohu.ai/en/article/retrieve-for-train/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/retrieve-for-train/</guid>
    <description>General-purpose LLMs performing query fan-out easily fall into synonymous repetition and suffer from token-by-token generation latency. R4T shifts set-level policy exploration to offline training, handing execution over to a lightweight diffusion retriever for parallel generation.</description>
    <category>洞察</category>
    <category>AI 检索</category><category>强化学习</category><category>扩散模型</category><category>Query Fan-out</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>When AI Can Write Code and Build Products on Its Own, What Is Left for Product Managers?</title>
    <link>https://best.xiaohu.ai/en/article/product-management-still-about-telling-stories/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/product-management-still-about-telling-stories/</guid>
    <description>Josh Elman draws on his firsthand experience at LinkedIn and Twitter to show that while AI has inverted the development cycle, it has not decided what is worth building for teams; what product managers truly deliver is a shared story that is understandable, repeatable, and verifiable by user behavior.</description>
    <category>深度</category>
    <category>产品管理</category><category>AI 产品</category><category>Onboarding</category><category>用户留存</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Fable 5.1 Solves a 370-Year-Old Historical Cipher Mystery: In Just 44 Minutes</title>
    <link>https://best.xiaohu.ai/en/article/fable-solves-cyphral-distich/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/fable-solves-cyphral-distich/</guid>
    <description>Claude Fable 5.1 used adjacent text within the book to solve 64 numbers and advanced a larger 285-number cipher down to just nine unknown letters. What is truly worth understanding is how it selected verifiable problems, found indexing rules, and where it stopped.</description>
    <category>洞察</category>
    <category>AI Agent</category><category>历史密码</category><category>Fable</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>When AI Can Do the Homework, What Should Universities Teach and How Should They Assess? MIT’s 26 Recommendations for Educational Redesign</title>
    <link>https://best.xiaohu.ai/en/article/mit-ai-education-report-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mit-ai-education-report-2026/</guid>
    <description>MIT connects 8 principles, 4 course-policy templates, and 26 actions into an iterative redesign of learning goals, assessment, residential community, and continuous governance.</description>
    <category>洞察</category>
    <category>AI 教育</category><category>高等教育</category><category>课程设计</category><category>MIT</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Lieflat Charts: 61 Chart Types and 12 Report Templates That Let AI Directly Generate Beautiful, Striking HTML Charts and Reports</title>
    <link>https://best.xiaohu.ai/en/article/lieflat-charts/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/lieflat-charts/</guid>
    <description>Provide your data and use case, and AI can select from editorial narrative charts, basics, animated charts, maps, and large interactive graphics to generate ready-to-open HTML charts or full-page reports.</description>
    <category>工具</category>
    <category>Agent Skills</category><category>数据可视化</category><category>HTML 图表</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Is Everywhere. Why Hasn’t the ‘Agentic Organization’ Emerged Yet?</title>
    <link>https://best.xiaohu.ai/en/article/ai-is-everywhere-agentic-organization-isnt-yet/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-is-everywhere-agentic-organization-isnt-yet/</guid>
    <description>Eighty percent of companies have yet to see AI impact their bottom line. The issue is not just model capabilities, but that enterprises are still jamming agents into legacy processes: workflows, governance, leadership approaches, and talent development must all be rebuilt together.</description>
    <category>深度</category>
    <category>Agentic AI</category><category>组织转型</category><category>AI 治理</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How LLM Inference Engines Actually Work: From a Single Token to Agent Caching</title>
    <link>https://best.xiaohu.ai/en/article/how-inference-engines-actually-work/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/how-inference-engines-actually-work/</guid>
    <description>A single forward pass generates only one token. Grounded in this physical reality, understand Prefill, Decode, the KV Cache, Continuous Batching, PagedAttention, and why AI Agents rely so heavily on Prefix Caching.</description>
    <category>洞察</category>
    <category>AI 推理</category><category>GPU</category><category>AI Agent</category><category>KV Cache</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>From &quot;Supervisor&quot; to &quot;Orchestration System&quot;: A Hands-On Grok Bot Engineering Guide to Managing 200+ Coding Agents</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-engineering/</guid>
    <description>A step-by-step guide to building the full loop: start with one domain Bot, delegate to Cloud Agents, validate Proof, patrol Notion, merge by risk tier, learn through Jenny, and respond to P0 incidents.</description>
    <category>深度</category>
    <category>Grok Bot</category><category>AI Agent</category><category>工程管理</category>
    <pubDate>Thu, 17 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Paul Graham: When Startups Make Decisions, Don&#x27;t Just Ask How to Make More Money—Ask How to Make the Company More Powerful</title>
    <link>https://best.xiaohu.ai/en/article/making-startups-powerful/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/making-startups-powerful/</guid>
    <description>How does a company evolve from a subservient tool or vendor into a critical node commanding customer relationships, network effects, and long-term optionality? This explainer unpacks Paul Graham’s playbook on startup power, while preserving its most vital constraint: every step must make the customer better off first.</description>
    <category>深度</category>
    <category>创业</category><category>商业战略</category><category>Paul Graham</category>
    <pubDate>Mon, 14 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How to Design and Build a Custom Agent Harness for Your Business</title>
    <link>https://best.xiaohu.ai/en/article/custom-agent-harness/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/custom-agent-harness/</guid>
    <description>True agent customization is not about chasing the strongest model, but engineering a harness tailored to your business task through minimal primitives and composable middleware.</description>
    <category>深度</category>
    <category>AI Agent</category><category>Agent Harness</category><category>LangChain</category>
    <pubDate>Mon, 14 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Hands-On Breakdown: How to Use GPT-6 Astra to Build a Large-Scale Space Exploration Web Game</title>
    <link>https://best.xiaohu.ai/en/article/how-to-build-games-with-astra/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/how-to-build-games-with-astra/</guid>
    <description>Using Void Explorer as the main case study, this guide breaks down how to define gameplay and visual direction first, then build observable testing, multi-scale coordinates, streamed terrain, performance benchmarks, and a Blender asset pipeline.</description>
    <category>AI 实操</category>
    <category>GPT-6 Astra</category><category>Codex</category><category>网页游戏</category><category>Three.js</category><category>WebGPU</category>
    <pubDate>Mon, 14 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How to Systematically Evaluate Agent Skills: A Complete Guide from Trigger Cases to Automated Scoring</title>
    <link>https://best.xiaohu.ai/en/article/testing-agent-skills-systematically-with-evals/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/testing-agent-skills-systematically-with-evals/</guid>
    <description>When you revise a Skill, did it genuinely improve, or did it just look smoother in a few test runs? This hands-on OpenAI guide lays out a complete evaluation loop across six steps: define success, run manual trials, design positive and negative cases, inspect JSONL traces, and review quality with a structured rubric. The article preserves all code and includes an interactive tool that directly generates test prompts and checklists.</description>
    <category>工具教程</category>
    <category>OpenAI</category><category>Agent Skills</category><category>Evals</category>
    <pubDate>Mon, 14 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Who Is Using AI to Change Software Development? AI Programming Is Giving Rise to a New Kind of Software Developer</title>
    <link>https://best.xiaohu.ai/en/article/ai-new-kind-software-developer/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-new-kind-software-developer/</guid>
    <description>They may not be familiar with code syntax, but they understand the business, can test, can spot errors, and can deliver software. What is really shifting is not the professional baseline, but the barrier to implementation.</description>
    <category>洞察</category>
    <category>AI 编程</category><category>软件开发</category><category>Vibe Coding</category>
    <pubDate>Sun, 13 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Using Grok Bot for Customer Support: A Hands-On Guide from Multi-Tool Connections and 5 High-Frequency Tasks to Automated Routines</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-for-support/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-for-support/</guid>
    <description>From item-by-item authorization for Plain, Stripe, and Databricks SQL, to copy-ready instructions, deliverables acceptance, stop conditions, and Routine setups across five support workflows.</description>
    <category>深度</category>
    <category>Grok Bot</category><category>客户支持</category><category>AI Agent</category>
    <pubDate>Sat, 12 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Grok Bot 101: How to Build Your Own Bot—and Four Real-World Workflows That Actually Deliver</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-101/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-101/</guid>
    <description>What Grok Bot is, how to define a Bot with three fields, how to trigger tasks via chat, routines, and other Bots, and how to manage the permission risks of a shared computer.</description>
    <category>深度</category>
    <category>Grok Bot</category><category>AI Agent</category><category>自动化</category>
    <pubDate>Sat, 12 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Spring Cleaning for Agent Configs: A Practical Guide to Refactoring Skills and AGENTS.md for GPT-6 Astra</title>
    <link>https://best.xiaohu.ai/en/article/rethinking-skills-and-prompts-for-gpt-6-astra/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/rethinking-skills-and-prompts-for-gpt-6-astra/</guid>
    <description>As models grow more capable, the repository rules once written to scaffold weaker predecessors are now actively holding them back. This guide turns OpenAI Developers&#x27; recommendations into four actionable refactors: narrowing skill descriptions, turning AGENTS.md from mandatory reading into an on-demand index, granting explicit authority in safe environments, and encoding definitions of done directly into task prompts—complete with verification checks for every step.</description>
    <category>深度</category>
    <category>Codex</category><category>AI Agent</category><category>提示词</category>
    <pubDate>Sat, 12 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>T:0 Engineer: Why Do AI Accountants Always Guess? Because the General Ledger Only Records Conclusions, Discarding Context</title>
    <link>https://best.xiaohu.ai/en/article/why-every-ai-accountant-fails/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/why-every-ai-accountant-fails/</guid>
    <description>A long-form essay by Erik, an engineer at T:0 (an Airwallex subsidiary): Hook up an agent however fast to the general ledger, and it can still only guess. Double-entry bookkeeping already comes with an arithmetically verifiable &#x27;ontology.&#x27; Only by restoring the links software discarded can AI point to evidence and answer &#x27;why.&#x27;</description>
    <category>深度</category>
    <category>T:0</category><category>Palantir</category><category>Ontology</category><category>AI 会计</category>
    <pubDate>Sat, 12 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cursor launches Projects, delegates tasks to thousands of subagents, and runs recurring work for months without prompting</title>
    <link>https://best.xiaohu.ai/en/article/cursor-projects/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cursor-projects/</guid>
    <description>Projects has its own computer in the cloud and preserves shared context across months; instruct it once, and it gets to work on Slack messages, PR changes, or schedules. Currently in beta, rolling out gradually to all users.</description>
    <category>产品发布</category>
    <category>Cursor</category><category>Agent</category><category>AI 编程</category>
    <pubDate>Sat, 12 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Opens the GPT-Live-1 API: Bring GPT&#x27;s Voice Conversation Capabilities into Any App at $0.05 per Minute</title>
    <link>https://best.xiaohu.ai/en/article/gpt-live-1-api/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-live-1-api/</guid>
    <description>The full-duplex voice model first launched in ChatGPT is now open to developers. How it handles interruptions and noise, how it delegates tasks to the backend, and what to make of the benchmarks, pricing, and 10 demo videos.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>GPT-Live-1</category><category>语音 Agent</category><category>API</category>
    <pubDate>Sat, 12 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Releases Explosive Security Report: Discloses Range of AI Threat Campaigns, Naming Alibaba, DeepSeek, Moonshot AI, and Others for Distilling Claude</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-threat-report-sep-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-threat-report-sep-2026/</guid>
    <description>The report discloses misuse operations disrupted between December 2025 and August 2026 across seven domains—from autonomous cyberattacks, influence campaigns, and surveillance to weapons development and illicit distillation—naming Alibaba, Moonshot AI, DeepSeek, Zhipu, Xiaomi, SenseTime, and MiniMax for industrial-scale extraction of Claude&#x27;s reasoning capabilities, based on Anthropic&#x27;s unilateral allegations.</description>
    <category>洞察</category>
    <category>AI 安全</category><category>威胁情报</category><category>Anthropic</category><category>蒸馏</category><category>网络攻击</category>
    <pubDate>Fri, 11 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Launches Agents API: One Call to Run Codex-Grade Agents in the Cloud</title>
    <link>https://best.xiaohu.ai/en/article/openai-agents-api/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-agents-api/</guid>
    <description>OpenAI opens the harness and sandbox infrastructure that powers Codex into an API. How it works, what it can do, how it is priced, and what limitations exist.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>Agents API</category><category>Codex</category><category>AI Agent</category>
    <pubDate>Fri, 11 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>iPhone Duo&#x27;s Official Human Interface Guidelines: The Device Changes Form at a Gesture, but Your Attention and Workflow Never Break</title>
    <link>https://best.xiaohu.ai/en/article/designing-for-iphone-duo/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/designing-for-iphone-duo/</guid>
    <description>Apple’s rules for its first foldable iPhone boil down to one core mandate: fold, unfold, or prop it up—no matter how the form changes, where the user is reading, where the cursor rests, and which step of a task they are on must never break.</description>
    <category>技术解读</category>
    <category>Apple</category><category>iPhone Duo</category><category>界面设计</category>
    <pubDate>Thu, 10 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>GrokBot Product Lead Retrospective: Building GrokBot in a Month, from a Chatbox to an ‘AI Colleague with Its Own Computer’</title>
    <link>https://best.xiaohu.ai/en/article/how-we-built-grokbot-in-a-month/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/how-we-built-grokbot-in-a-month/</guid>
    <description>Roman Ugarte explains how GrokBot came to be: why the team started fresh instead of adding it to Cursor, why every Agent gets access to a cloud computer, and how a small team built a prototype in four weeks before using an internal beta, feature cuts, and reliability fixes to reach public launch.</description>
    <category>洞察</category>
    <category>Grok Bot</category><category>AI Agent</category><category>Product Management</category>
    <pubDate>Thu, 10 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>From Switching Tools to Rewriting the Way We Work: 10 Principles for Multi-Agent Software Development in Practice</title>
    <link>https://best.xiaohu.ai/en/article/frontier-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/frontier-engineering/</guid>
    <description>When AI programming fails to significantly speed up delivery, it is often not because the model lacks power, but because humans remain bottlenecks at every step. Kiro’s 10 principles trace the problem back to intent, verification, repositories, permissions, and attention management.</description>
    <category>技术解读</category>
    <category>AI 编程</category><category>Agent</category><category>软件工程</category>
    <pubDate>Thu, 10 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The Most Common Dilemma in AI Product Design: 39 Principles for Designing Human–AI Interaction</title>
    <link>https://best.xiaohu.ai/en/article/42-principles-human-ai-design/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/42-principles-human-ai-design/</guid>
    <description>Designer Taras Bakusevych synthesized research across human–computer interaction (HCI), mixed-initiative systems, and automated trust to propose 39 AI interface design principles. This explainer reorganizes them according to Microsoft&#x27;s product lifecycle stages while verifying the original evidence and qualifications point by point.</description>
    <category>深度</category>
    <category>AI 产品设计</category><category>人机交互</category><category>Agent</category>
    <pubDate>Wed, 09 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Official OpenAI Case Study: Designing and Building a Modern Home Step by Step with GPT-6 Astra—from a Simple Description to 3D Modeling, Materials, Lighting, and Real-Time Interaction in UE5</title>
    <link>https://best.xiaohu.ai/en/article/architectural-visualization-with-astra/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/architectural-visualization-with-astra/</guid>
    <description>OpenAI&#x27;s Astra case study demonstrates an inspectable 3D creation path: first turning textual intent into a Blender scene, then using floor plans, preview renders, and real-time walkthroughs to drive subsequent decisions.</description>
    <category>AI 实操</category>
    <category>Astra</category><category>Blender</category><category>Unreal Engine 5</category>
    <pubDate>Wed, 09 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic’s Developer Team Explains How to Cut Claude API Costs Without Sacrificing Quality: Three Optimization Strategies Across Caching, Prompts, and Effort</title>
    <link>https://best.xiaohu.ai/en/article/reducing-cost-improving-performance-claude-platform/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/reducing-cost-improving-performance-claude-platform/</guid>
    <description>Cost reduction and performance are not a zero-sum trade-off: eliminate duplicate compute, ineffective instructions, and mismatched thinking effort before deciding whether to switch models.</description>
    <category>技术解读</category>
    <category>Claude</category><category>提示词缓存</category><category>AI 成本优化</category>
    <pubDate>Wed, 09 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Releases GPT Images 2.5: Photoshop-Level Precision Image Editing with Astonishing Power</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-images-2-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-images-2-5/</guid>
    <description>Targeted editing, sequential fine-tuning, reference-based outfit swaps, and composite photos, plus sketches, templates, and prompt sharing: see how Images 2.5 integrates into creative workflows.</description>
    <category>产品发布</category>
    <category>ChatGPT</category><category>AI 图像</category><category>图像编辑</category>
    <pubDate>Wed, 09 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta Launches Muse, a Personal AI Agent: Each User Gets a Dedicated Cloud Computer to Keep Tasks Moving in the Background</title>
    <link>https://best.xiaohu.ai/en/article/muse-personal-ai-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/muse-personal-ai-agent/</guid>
    <description>It has its own cloud computer and can keep working in the background, while host-side security services control permissions, credentials, and network access.</description>
    <category>产品发布</category>
    <category>Muse</category><category>个人智能体</category><category>AI 安全</category>
    <pubDate>Wed, 09 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Complete Guide to GPT Image 2.5 Prompting and Image Editing: A Comprehensive Analysis of Core Practical Cases</title>
    <link>https://best.xiaohu.ai/en/article/openai-image-prompting-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-image-prompting-guide/</guid>
    <description>Break vague image requirements into auditable subjects, composition, style, and constraints, then use single-variable iteration and step-by-step acceptance to minimize drift.</description>
    <category>AI 实操</category>
    <category>GPT Image 2.5</category><category>图像提示词</category><category>图像编辑</category>
    <pubDate>Wed, 09 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Insilico Medicine’s Latest Breakthrough: Its AI-Assisted Drug Shows Signs of Reversing Human “Biological Age” in Clinical Data—by 6 Years</title>
    <link>https://best.xiaohu.ai/en/article/rentosertib-aging-clocks/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/rentosertib-aging-clocks/</guid>
    <description>From AI discovering TNIK and generating candidate molecules to proteomic clock signals in 42 patients and Phase III trials.</description>
    <category>研究解读</category>
    <category>AI制药</category><category>生物学年龄</category><category>特发性肺纤维化</category>
    <pubDate>Tue, 08 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How to Write Articles with AI That Don&#x27;t Sound Like AI: Organize Your Material First, Then Let the Model Write</title>
    <link>https://best.xiaohu.ai/en/article/the-right-way-to-write-with-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/the-right-way-to-write-with-ai/</guid>
    <description>From shared common knowledge and personal experience to original thinking: understanding Nicolas Cole&#x27;s division of labor between human and machine, plus three ready-to-use templates.</description>
    <category>AI 实操</category>
    <category>AI写作</category><category>个人知识库</category><category>写作方法</category>
    <pubDate>Tue, 08 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Spotify Unveils a Claude Code Delegation Strategy: Large File Reading Context Cut by ~90%</title>
    <link>https://best.xiaohu.ai/en/article/spotify-portal-shunt/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/spotify-portal-shunt/</guid>
    <description>Many assume tokens are spent on thinking, but a massive portion is consumed hauling long files. Spotify Principal Product Manager Dimitri Mazmanov open-sourced shunt, a delegation plugin that lets helper models handle bulk reads and boilerplate generation, cutting context ingestion for large file reads in Claude&#x27;s primary model by about 90% in tests and saving context for core reasoning.</description>
    <category>深度</category>
    <category>Claude Code</category><category>AI Agent</category><category>Token</category>
    <pubDate>Tue, 08 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>From Solo Chat to Team Collaboration: Why Is Everyone Still Chatting in Silos After Getting Enterprise AI?</title>
    <link>https://best.xiaohu.ai/en/article/multiplayer-ai-manifesto/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/multiplayer-ai-manifesto/</guid>
    <description>Using AI primarily in 1-on-1 chats keeps work trapped inside isolated dialog boxes. Moving from solo chatting to cross-role team collaboration requires understanding the genuine gains of human-AI teaming, engineering goals, and permission boundaries.</description>
    <category>深度</category>
    <category>AI Agent</category><category>团队协作</category><category>企业AI</category>
    <pubDate>Mon, 07 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s chief scientist: We are creating an alien life form that surpasses human intelligence, yet whose inner workings we cannot fully understand</title>
    <link>https://best.xiaohu.ai/en/article/an-alien-mind/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/an-alien-mind/</guid>
    <description>From the chain-of-thought breakthrough in 2023 to GPT-6 Astra, this piece unpacks the nature of machine intelligence cultivation, the alignment generalization problem, and why top labs are now, for the first time, calling for a deliberate slowdown in scaling.</description>
    <category>技术前沿</category>
    <category>OpenAI</category><category>Jakub Pachocki</category><category>AI安全</category><category>对齐研究</category><category>思维链</category><category>GPT-6</category><category>RSI</category>
    <pubDate>Mon, 07 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta&#x27;s organizational second brain: turning experts&#x27; tacit knowledge into lasting AI capabilities</title>
    <link>https://best.xiaohu.ai/en/article/meta-organizational-second-brain/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/meta-organizational-second-brain/</guid>
    <description>How three challenges in expert judgment led to a system connecting knowledge, workflows, evaluation, and feedback.</description>
    <category>技术解读</category>
    <category>AI Agent</category><category>知识管理</category><category>企业 AI</category>
    <pubDate>Mon, 07 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A SpaceXAI engineer shows you how to make AI agents better engineers</title>
    <link>https://best.xiaohu.ai/en/article/cursor-agent-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cursor-agent-engineering/</guid>
    <description>From having agents reproduce problems themselves to feature maps, skill evaluations, and architectural constraints, Lauren Tan explains the engineering conditions that let agents take on more autonomous work.</description>
    <category>工程实践</category>
    <category>Cursor</category><category>Agent</category><category>工程实践</category><category>软件质量</category>
    <pubDate>Sun, 06 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How the Claude Code team&#x27;s own use of Claude Code has evolved over the past year—from writing code to driving product goals</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-team-goal-workflows/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-team-goal-workflows/</guid>
    <description>From writing functions to pursuing product goals, the Claude Code team has been connecting environments, workflows, and feedback. As the model improves, they are also redesigning their tools and ways of working.</description>
    <category>方法实践</category>
    <category>Claude Code</category><category>智能体</category><category>软件开发</category>
    <pubDate>Sun, 06 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How AI is reshaping hiring: Why experience now counts for more</title>
    <link>https://best.xiaohu.ai/en/article/experience-over-skills/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/experience-over-skills/</guid>
    <description>Shifting job requirements reveal the real value and limits of experience—along with three signal groups covering attention, security, and buildout demand.</description>
    <category>行业洞察</category>
    <category>AI</category><category>招聘</category><category>产业趋势</category>
    <pubDate>Sun, 06 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>216 GPT image2 hand-drawn styles: from browsing by look to reusing prompts</title>
    <link>https://best.xiaohu.ai/en/article/handraw-style-216/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/handraw-style-216/</guid>
    <description>Link numbers, reference names, visual traits, and sample images so a hand-drawn style library becomes a set of reusable image prompts.</description>
    <category>实用工具</category>
    <category>手绘风格</category><category>提示词</category><category>插画</category><category>GitHub</category>
    <pubDate>Sun, 06 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI AI agents break loose, turning a German wiki into their own “underground forum”</title>
    <link>https://best.xiaohu.ai/en/article/openai-wiki-agent-boundaries/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-wiki-agent-boundaries/</guid>
    <description>From exchanging answers to making backups after pages were deleted, agents turned a public wiki into a communication hub. On September 5, OpenAI acknowledged that its agents were involved and explained its earlier assessment; the disclosure timeline remains incomplete.</description>
    <category>AI 安全</category>
    <category>OpenAI</category><category>AI 代理</category><category>权限边界</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>8 Grok Bot templates officially shared by SpaceXAI: turn workflows into reusable assistants</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-eight-workflow-templates/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-eight-workflow-templates/</guid>
    <description>Eight everyday assistants show how skills, memory, and tool connections combine into repeatable workflows—and what recipients still need to configure.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>AI 模板</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>xAI shares how it built Haggle Bot, a procurement bot that has identified over $100,000 in direct savings</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-procurement/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-procurement/</guid>
    <description>From responsibilities and data access to decision criteria, permissions, and memory: how xAI gives a bot an ongoing role in procurement.</description>
    <category>商业与AI</category>
    <category>Grok Bot</category><category>企业采购</category><category>AI 智能体</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>An OpenAI employee explains how to get more from GPT 6 Astra: rethink how people and AI share the work</title>
    <link>https://best.xiaohu.ai/en/article/dominik-kundel-astra-five-lessons/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/dominik-kundel-astra-five-lessons/</guid>
    <description>From LEGO bridges and image editors to a 3D bar, Dominik Kundel&#x27;s five lessons show how letting GPT 6 Astra fill in the details works best when you set the direction, hand over the tools, and define what &quot;done&quot; looks like.</description>
    <category>AI 实操</category>
    <category>Astra</category><category>Codex</category><category>工作流</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Microsoft releases MAI-Image-2.6: quality rivals GPT-Image-2, Flash is over twice as fast</title>
    <link>https://best.xiaohu.ai/en/article/mai-image-2-6-flash/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mai-image-2-6-flash/</guid>
    <description>Handles multiple reference images, web-assisted generation, precision edits, and variable aspect ratios; the flagship prioritizes quality while Flash cuts wait times and costs for batch work.</description>
    <category>产品发布</category>
    <category>微软</category><category>AI生图</category><category>图像编辑</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why enterprise AI stalls at the demo: Prove one workflow before scaling</title>
    <link>https://best.xiaohu.ai/en/article/ai-transformation-loop/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-transformation-loop/</guid>
    <description>Pick a workflow tied to a customer pain point, define permissions, accountability, baselines, and evaluation before building, and use real data for evidence before expanding. What a pilot leaves behind—context, metrics, and operating know-how—makes the next workflow easier to start.</description>
    <category>深度</category>
    <category>企业 AI</category><category>组织转型</category><category>私募股权</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Workspace puts voice to work: Gmail finds answers, Docs drafts, Keep organizes</title>
    <link>https://best.xiaohu.ai/en/article/google-workspace-live-voice/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-workspace-live-voice/</guid>
    <description>One real-time voice interaction, three Workspace apps, three escalating tasks: retrieving facts, shaping thoughts, and structuring documents.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini</category><category>Google Workspace</category><category>Gmail</category><category>Google Docs</category><category>Google Keep</category><category>语音交互</category>
    <pubDate>Sat, 05 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How the Grok Bot team designed a bot that keeps working across sessions</title>
    <link>https://best.xiaohu.ai/en/article/designing-grok-bot-persistent-agents/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/designing-grok-bot-persistent-agents/</guid>
    <description>From chat history to bot rosters, avatar states to standalone computers and proactive triggers: the SpaceXAI team walks through how they turned a single bot into something that stays on task across sessions.</description>
    <category>深度</category>
    <category>AI Agent</category><category>Grok Bot</category><category>产品设计</category>
    <pubDate>Fri, 04 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>One pickle soda photo, a whole brand: how to build an AI brand system from a single reference</title>
    <link>https://best.xiaohu.ai/en/article/amir-mushich-2095182776249049456/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/amir-mushich-2095182776249049456/</guid>
    <description>Amir Mušić&#x27;s Juicee case study demonstrates a more reliable method for AI-assisted branding: extract the rules from the reference image, lock down a brand anchor, and assign control over each piece of source material.</description>
    <category>AI 实操</category>
    <category>AI 设计</category><category>品牌系统</category><category>Lovart</category><category>Agent Skill</category>
    <pubDate>Fri, 04 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>MIT Team Open-Sources Reef: Turning Inference Servers into Continuous Learners for AI Agents</title>
    <link>https://best.xiaohu.ai/en/article/reef-continual-self-improving-agents/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/reef-continual-self-improving-agents/</guid>
    <description>Live traffic becomes attributed experience. Recipes generate model or harness candidates, and a review-and-versioning pipeline decides which changes make it back into production.</description>
    <category>产品发布</category>
    <category>AI Agent</category><category>持续学习</category><category>推理基础设施</category><category>开源</category>
    <pubDate>Thu, 03 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>26 Grok bot templates worth stealing: the real trick is how they define the job</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot-templates-26/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot-templates-26/</guid>
    <description>From writing code and designing to watching webpages, editing video, and finding cancer drug assistance, this list shows the same thing: a good bot spells out its task, inputs, tools, deliverables, stopping conditions, and human handoff points.</description>
    <category>AI 工具</category>
    <category>Grok Bot</category><category>AI Agent</category><category>工作流</category><category>提示词</category>
    <pubDate>Thu, 03 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Gemini 3.8 Flash launches as the &#x27;workhorse&#x27; model for software engineering, autonomous agents, and deep reasoning</title>
    <link>https://best.xiaohu.ai/en/article/google-gemini-3-8-flash-cyber/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-gemini-3-8-flash-cyber/</guid>
    <description>Google has shipped three generations of Flash in six weeks. On September 2, the new Gemini 3.8 Flash model arrives with the same low cost and high speed as its predecessor, 3.7 Flash, but delivers major gains in long-horizon coding, complex reasoning, and cybersecurity offense and defense.</description>
    <category>产品发布</category>
    <category>Google</category><category>Gemini 3.8 Flash</category><category>AI Agent</category><category>网络安全</category><category>模型评测</category>
    <pubDate>Thu, 03 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cursor launches self-hosted machines: run tasks on your infrastructure, keep reasoning in the cloud</title>
    <link>https://best.xiaohu.ai/en/article/self-hosted-machines/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/self-hosted-machines/</guid>
    <description>Cloud Agents can now execute tasks on a company&#x27;s own hardware, while Cursor&#x27;s cloud continues to handle the agent loop, reasoning, and planning.</description>
    <category>产品发布</category>
    <category>Cursor</category><category>云端智能体</category><category>自托管</category><category>开发基础设施</category>
    <pubDate>Thu, 03 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Fable 5.1 prompt guide: 16 tips and an agent runtime migration checklist</title>
    <link>https://best.xiaohu.ai/en/article/claude-fable-5-1-prompting-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-fable-5-1-prompting-guide/</guid>
    <description>From launch context to all 16 official recommendations, this explains effort, tool loops, message history, long-task delivery, and vision handling, with ready-to-adapt bilingual prompt templates.</description>
    <category>AI 实操</category>
    <category>Claude</category><category>Fable 5.1</category><category>Prompt Engineering</category><category>Agent</category><category>上下文工程</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google DeepMind gives Gemini agentic video understanding: it now decides how to watch</title>
    <link>https://best.xiaohu.ai/en/article/gemini-agentic-video-understanding/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-agentic-video-understanding/</guid>
    <description>Gemini replaces fixed frame sampling with a goal-driven observation loop: it hunts for clues, then picks subtitles, audio, or key frames, and rewatches at higher FPS when needed.</description>
    <category>AI 研究</category>
    <category>Gemini</category><category>视频理解</category><category>AI 智能体</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic launches Claude Fable 5.1 and Mythos 5.1: longer autonomous runs, 75% cheaper cache reads</title>
    <link>https://best.xiaohu.ai/en/article/claude-fable-5-1-mythos-5-1/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-fable-5-1-mythos-5-1/</guid>
    <description>Performance, cache pricing, safety guardrails, and enterprise data controls all land in one release. To understand these two models, you first need to see how they&#x27;re delivered.</description>
    <category>产品发布</category>
    <category>Claude</category><category>Anthropic</category><category>AI 模型</category><category>AI 安全</category><category>企业 AI</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How a former Apple design and engineering leader gets AI to produce world-class design</title>
    <link>https://best.xiaohu.ai/en/article/how-to-turn-your-ai-into-a-world-class-expert/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/how-to-turn-your-ai-into-a-world-class-expert/</guid>
    <description>Anshu Chimala turned the exploration, critique, and pruning methods he developed while leading software engineering and design teams at Apple into a practical guide that AI agents can execute.</description>
    <category>深度</category>
    <category>AI 设计</category><category>多 Agent</category><category>设计方法</category><category>生成式 AI</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>World Labs releases Atlas, an all-purpose world model for spatial intelligence that accurately simulates position, orientation, and motion in 3D space</title>
    <link>https://best.xiaohu.ai/en/article/atlas-world-model/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/atlas-world-model/</guid>
    <description>World Labs folds text, images, camera poses, and depth into a single 3D context. The result: video generation along specified camera paths, plus point clouds, Gaussian Splatting, and robot sensor views.</description>
    <category>产品发布</category>
    <category>World Labs</category><category>Atlas</category><category>世界模型</category><category>3D 重建</category><category>机器人仿真</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Turning learning into a feedback loop: how seven principles connect into one method</title>
    <link>https://best.xiaohu.ai/en/article/hvdes-2094075106096009695/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/hvdes-2094075106096009695/</guid>
    <description>Start with a real task so the gaps become visible. Then use feedback to correct, retrieval to verify, and connections to build reusable knowledge.</description>
    <category>深度</category>
    <category>学习方法</category><category>反馈回路</category><category>提取练习</category><category>AI学习</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>8 categories, 33 themes, and 350 image layouts: a visual atlas for posters, web pages, slides, publications, and design work</title>
    <link>https://best.xiaohu.ai/en/article/xiaoxiaodong-repo-2094443296169107515/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/xiaoxiaodong-repo-2094443296169107515/</guid>
    <description>A visual layout dictionary: find a composition by task, break it down into subject, hierarchy, alignment, and whitespace, then apply your own text, images, and brand rules.</description>
    <category>AI 实操</category>
    <category>开源项目</category><category>视觉设计</category><category>排版</category><category>AI 工作流</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Research releases TimesFM-3, a time-series foundation model that forecasts what comes next</title>
    <link>https://best.xiaohu.ai/en/article/timesfm-3-zero-shot-multivariate/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/timesfm-3-zero-shot-multivariate/</guid>
    <description>It doesn&#x27;t predict abstract events. Instead, it outputs concrete numbers shaped by multiple time curves and known future plans: sales, traffic, load, prices, and the uncertainty around all of them.</description>
    <category>研究解读</category>
    <category>TimesFM</category><category>时间序列</category><category>多变量预测</category><category>Google Research</category><category>基础模型</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>After 2,000 hours of AI coding, he turned an efficiency problem into a scheduling problem</title>
    <link>https://best.xiaohu.ai/en/article/david-ondrej-x-2094424967345496191/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/david-ondrej-x-2094424967345496191/</guid>
    <description>David Ondrej&#x27;s 2026 Agentic Engineering workbench reads like a shopping list of tools. But dig into its structure and a more durable system emerges: a unified entry point, continuous execution, task isolation, risk tiers, and feedback metrics.</description>
    <category>深度</category>
    <category>Agentic Engineering</category><category>AI 编程</category><category>工作流</category><category>多 Agent</category><category>云端 Agent</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The More You Use AI, the More You Need Second-Order Thinking</title>
    <link>https://best.xiaohu.ai/en/article/second-order-thinking-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/second-order-thinking-ai/</guid>
    <description>Answers show only the immediate payoff; skills, judgment, habits, and data shift slowly with repeated use. One simple question helps you see those consequences before they arrive.</description>
    <category>深度</category>
    <category>AI 使用方法</category><category>二阶思考</category><category>认知卸载</category><category>学习</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Runway Solaris turns video models into the operating layer for real-time interfaces</title>
    <link>https://best.xiaohu.ai/en/article/introducing-solaris-interface-world-model/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/introducing-solaris-interface-world-model/</guid>
    <description>Clicking and dragging directly determines what the next frame looks like, and the interface shifts from prebuilt pages to a continuously generated visual space.</description>
    <category>研究解读</category>
    <category>Runway</category><category>Solaris</category><category>世界模型</category><category>生成式界面</category><category>AI Agent</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Uber engineering built a software factory at hyperscale: Six foundations, agentic SDLC, and cost control</title>
    <link>https://best.xiaohu.ai/en/article/uber-software-factory-efficiently/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/uber-software-factory-efficiently/</guid>
    <description>A full engineering guide to Uber&#x27;s software factory: model and tool gateways, managed DevPods, a skill marketplace, context graph, end-to-end agentic SDLC, maintenance loops, and cost engineering.</description>
    <category>深度</category>
    <category>Uber</category><category>AI Agent</category><category>软件工程</category><category>成本优化</category><category>MCP</category>
    <pubDate>Wed, 02 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tara Seshan on ChatGPT Work and Codex: What happens when AI becomes a persistent coworker?</title>
    <link>https://best.xiaohu.ai/en/article/persistent-ai-coworkers-third-era/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/persistent-ai-coworkers-third-era/</guid>
    <description>Chats answer a question, agents complete a task, but the next phase of AI keeps context across time, executes continuously, and joins multi-person workflows. OpenAI product lead Tara Seshan explains what that working relationship demands—and how human responsibility shifts upward.</description>
    <category>深度</category>
    <category>AI</category><category>智能体</category><category>ChatGPT Work</category><category>Codex</category><category>产品管理</category><category>知识工作</category>
    <pubDate>Tue, 01 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The bottleneck in AI coding workflows has shifted from writing code to managing context</title>
    <link>https://best.xiaohu.ai/en/article/ai-dev-workflow-context-system/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-dev-workflow-context-system/</guid>
    <description>Priorities, precise instructions, task claiming, isolated workspaces, long-term memory, and human judgment determine whether an agent becomes a stable engineering system or remains a one-off assistant.</description>
    <category>深度</category>
    <category>AI 编程</category><category>Agent</category><category>上下文工程</category><category>软件开发</category><category>GitLab</category>
    <pubDate>Tue, 01 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Vercel uses design.md to keep agent output on-brand in any context</title>
    <link>https://best.xiaohu.ai/en/article/how-agents-build-on-brand-pages-design-md/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/how-agents-build-on-brand-pages-design-md/</guid>
    <description>Starting from the gap between in-repo and out-of-repo context, this piece breaks down how design.md, shared brand CSS, and an evaluation loop work together—and how a typical team can build its own design feedback system in six steps.</description>
    <category>深度</category>
    <category>Vercel</category><category>design.md</category><category>AI Agent</category><category>设计系统</category><category>Evals</category>
    <pubDate>Tue, 01 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Video generation faster than playback: fal makes MiniMax H3 real-time through post-training</title>
    <link>https://best.xiaohu.ai/en/article/minimax-h3-max-realtime-video/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/minimax-h3-max-realtime-video/</guid>
    <description>Fal continues post-training on the open-weight MiniMax H3 and co-optimizes the model with its own inference stack: a 5-second clip returns in about 3 seconds, and the system can start generating the next segment before the current 15-second clip finishes playing.</description>
    <category>产品发布</category>
    <category>MiniMax</category><category>H3 Max</category><category>AI 视频</category><category>fal</category><category>实时生成</category>
    <pubDate>Tue, 01 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>11 GrokBot tips: Build your own agent work system</title>
    <link>https://best.xiaohu.ai/en/article/grokbot-11-tips/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grokbot-11-tips/</guid>
    <description>Following the original Agent Native article&#x27;s 11 tips in order, this guide breaks down status monitoring, dev delegation, a general entry point, agent collaboration, project bots, X, Slack, plugins, multiple inboxes, Notion, and a follow-up journal.</description>
    <category>AI 实操</category>
    <category>GrokBot</category><category>Agent</category><category>自动化</category><category>工作流</category><category>多 Agent</category>
    <pubDate>Tue, 01 Sep 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>What exactly is a Company Brain? Four layers of infrastructure for organizational context</title>
    <link>https://best.xiaohu.ai/en/article/company-brain/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/company-brain/</guid>
    <description>Slite surveyed 149 teams and interviewed more than 10 builders. A working Company Brain has to handle signal capture, memory, maintenance, and retrieval all at once; the real hard parts are maintenance responsibility, truth arbitration, and context sovereignty.</description>
    <category>研究解读</category>
    <category>Company Brain</category><category>企业知识管理</category><category>AI Agent</category><category>上下文工程</category>
    <pubDate>Mon, 31 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Inside Grok Bot: How Five Teams Built an Agent Operating System</title>
    <link>https://best.xiaohu.ai/en/article/xai-bot-guides/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/xai-bot-guides/</guid>
    <description>Across project collaboration, mobile development, design, GTM, and product management, five internal playbooks converge on the same structure: define Agents as roles, connect them to real work environments, build loops through routines and handoffs, and reserve consequential decisions for people.</description>
    <category>AI 实操</category>
    <category>Grok Bot</category><category>多 Agent</category><category>Agent 组织</category><category>工作流</category><category>xAI</category>
    <pubDate>Mon, 31 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Research Introduces WikiSkill: How AI Agents Turn Mistakes into Persistent Knowledge and Better Skills</title>
    <link>https://best.xiaohu.ai/en/article/wikiskill-persistent-knowledge/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/wikiskill-persistent-knowledge/</guid>
    <description>WikiSkill turns the lessons an AI Agent learns while completing tasks into a persistent wiki, enabling it to develop stronger executable skills over time.</description>
    <category>研究解读</category>
    <category>AI Agent</category><category>Skill Evolution</category><category>Persistent Knowledge</category><category>arXiv</category><category>Google Research</category>
    <pubDate>Mon, 31 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Who Won&#x27;t Be Replaced by AI?</title>
    <link>https://best.xiaohu.ai/en/article/digital-renaissance-man-ai-age/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/digital-renaissance-man-ai-age/</guid>
    <description>The industrial age rewarded people who mastered a single standardized step, but AI is making routine execution cheap. Dan Koe argues that the next phase favors those who can combine multiple skills around a core business, use AI to manage the full workflow, and still keep their taste, judgment, and personal agency.</description>
    <category>深度</category>
    <category>AI</category><category>通才</category><category>个人能力</category><category>一人企业</category><category>自我教育</category>
    <pubDate>Mon, 31 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>WeChat open-sources WeMM-Embedding, already deployed across Channels, Official Accounts, and Moments</title>
    <link>https://best.xiaohu.ai/en/article/wemm-embedding/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/wemm-embedding/</guid>
    <description>The model handles text, images, video, visual documents, and mixed image-text input, with 2B, 4B, and 9B variants. Matryoshka vectors let you trade retrieval quality against cost flexibly.</description>
    <category>产品发布</category>
    <category>Embedding</category><category>多模态</category><category>检索</category><category>推荐系统</category><category>腾讯微信</category>
    <pubDate>Fri, 28 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Bill Gates: Tax tokens and robots. The turbulent AI era will be shaped by three institutional choices over the next decade.</title>
    <link>https://best.xiaohu.ai/en/article/turbulent-ai-era-critical-choices/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/turbulent-ai-era-critical-choices/</guid>
    <description>More important than any risk checklist is who manages the transition, which jobs stay human-only, and how the gains from automation pay for the social buffer.</description>
    <category>深度</category>
    <category>Bill Gates</category><category>AI 治理</category><category>就业</category><category>Human Reserved</category><category>机器人税</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google launches Gemini 3.5 Transcribe with live transcription, Smart formatting, and support for 85+ languages</title>
    <link>https://best.xiaohu.ai/en/article/gemini-3-5-transcribe/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-3-5-transcribe/</guid>
    <description>Google&#x27;s new speech-to-text models cover both real-time and recorded audio, with features like correction handling, multilingual switching, custom vocabulary, speaker separation, and timestamps.</description>
    <category>产品发布</category>
    <category>Gemini</category><category>语音识别</category><category>转写</category><category>Live API</category><category>Google</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>What context engineering actually engineers</title>
    <link>https://best.xiaohu.ai/en/article/context-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/context-engineering/</guid>
    <description>Weaviate maps the field with six core capabilities. The real thread running through all of them is deciding, at each step, what information gets into the model, what state stays outside, and who executes next.</description>
    <category>AI 实操</category>
    <category>上下文工程</category><category>AI Agent</category><category>RAG</category><category>记忆</category><category>MCP</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Makes Execution and Average Answers Cheap—Taste Now Sets the Ceiling. How Do You Improve Your Taste?</title>
    <link>https://best.xiaohu.ai/en/article/developing-taste-four-essays/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/developing-taste-four-essays/</guid>
    <description>As AI makes &quot;getting it done&quot; easier than ever, the truly scarce skills are recognizing quality, rejecting default outputs, tolerating rework, and pushing through to a higher standard.</description>
    <category>深度</category>
    <category>品味</category><category>AI 创作</category><category>设计</category><category>创作者</category><category>Paul Graham</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How a 24/7 agent team takes shape: SpaceXAI engineer Lauren Tan builds engineering judgment into the system</title>
    <link>https://best.xiaohu.ai/en/article/cursor-agent-team-24x7/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cursor-agent-team-24x7/</guid>
    <description>Behind a night that auto-merged 20 PRs lie more than 600 refactoring PRs. Lauren Tan shows how architecture, CI, verification skills, and tiered delegation come together to form a team of agents that keeps working.</description>
    <category>深度</category>
    <category>AI Agent</category><category>Cursor</category><category>软件工程</category><category>多代理</category><category>PStack</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Apple team publishes distillation scaling laws: making AI models smaller is no longer a matter of luck</title>
    <link>https://best.xiaohu.ai/en/article/distillation-scaling-laws/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/distillation-scaling-laws/</guid>
    <description>The paper puts teacher quality, student size, training data, and teacher cost on one budget map: stronger teachers are not always better, and distillation is not always more compute-efficient than training the student directly.</description>
    <category>研究解读</category>
    <category>知识蒸馏</category><category>缩放定律</category><category>大模型训练</category><category>Apple</category><category>ICML 2025</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s first inference chip delivers: why Jalapeño boosts both speed and efficiency</title>
    <link>https://best.xiaohu.ai/en/article/jalapeno-first-results/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/jalapeno-first-results/</guid>
    <description>Three public models, four sets of easily misread multipliers, and a full-stack approach that designs chip, memory, network, and software backward from the model workload.</description>
    <category>研究解读</category>
    <category>OpenAI</category><category>Jalapeño</category><category>AI 芯片</category><category>大模型推理</category><category>InferenceX</category>
    <pubDate>Thu, 27 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Hands-on conversational AI testing: Build a QA system in eight steps</title>
    <link>https://best.xiaohu.ai/en/article/testing-conversational-ai-qa/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/testing-conversational-ai-qa/</guid>
    <description>Start with a wrong answer marked correct, a dangerous reply that slips through, and a fake API success. Then follow a single account recovery case study to walk through eight steps covering behavior contracts, state, evidence, recovery, regression, and release gates.</description>
    <category>AI 实操</category>
    <category>对话式 AI</category><category>软件测试</category><category>QA</category><category>RAG</category><category>AI 评测</category>
    <pubDate>Wed, 26 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How one high school is using red, yellow, and green lights to guide smarter AI use in class</title>
    <link>https://best.xiaohu.ai/en/article/ai-classroom-traffic-light-policy/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-classroom-traffic-light-policy/</guid>
    <description>A U.S. high school has built a classroom AI policy that combines teacher training, assignment permissions, student judgment exercises, and human review. This article breaks down how it works, and offers a three-color assignment card, classroom exercises, a teacher checklist, and a pilot plan for schools.</description>
    <category>深度</category>
    <category>AI 教育</category><category>课堂治理</category><category>学术诚信</category><category>教师培训</category>
    <pubDate>Tue, 25 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Codex lead Tibo, the “God of Resets”: Codex is only a transitional form—the real race is expanding from individual models to entire systems</title>
    <link>https://best.xiaohu.ai/en/article/openai-personal-agi-codex/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-personal-agi-codex/</guid>
    <description>Codex lead Tibo lays out a roadmap that matters more than model upgrades: fold Skills, memory, sub-agents, tools, and compute management back into the system, and let the same AI actively adapt to each person.</description>
    <category>深度</category>
    <category>OpenAI</category><category>Codex</category><category>ChatGPT</category><category>AI Agent</category><category>产品战略</category>
    <pubDate>Tue, 25 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s guide to an AI-native software development lifecycle</title>
    <link>https://best.xiaohu.ai/en/article/ai-native-sdlc-playbook/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-native-sdlc-playbook/</guid>
    <description>Writing code is no longer the main bottleneck. Requirements, testing, review, and operations are what slow delivery down now. Anthropic&#x27;s approach leans on structured artifacts to keep agents moving in sequence, with the system validating first and humans stepping in only at the critical gates.</description>
    <category>深度</category>
    <category>Anthropic</category><category>Claude Code</category><category>AI Agent</category><category>SDLC</category><category>工程管理</category>
    <pubDate>Tue, 25 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic FDE Interview Guide: Why the Company Is Spending Big on a New Class of On-Site Engineers</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-fde-interview-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-fde-interview-guide/</guid>
    <description>This isn&#x27;t a hire for someone who can write clever prompts. It&#x27;s a search for people who can get model capabilities, customer workflows, and safety boundaries all the way into production systems.</description>
    <category>深度</category>
    <category>Anthropic</category><category>FDE</category><category>Claude</category><category>AI Agent</category><category>企业部署</category><category>面试指南</category>
    <pubDate>Mon, 24 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why most CEOs&#x27; AI efforts are just &#x27;fake progress&#x27;: The seven decisions that determine real enterprise AI transformation</title>
    <link>https://best.xiaohu.ai/en/article/turn-ai-into-proprietary-intelligence/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/turn-ai-into-proprietary-intelligence/</guid>
    <description>Most companies run plenty of AI pilots, but they never change an end-to-end business process, and they never turn a one-off win into a capability they can reuse next time. The dividing line is whether the company ends up with its own data, its own ways of working, and its own record of what it has learned.</description>
    <category>研究解读</category>
    <category>企业 AI</category><category>AI Agent</category><category>专有智能</category><category>组织转型</category>
    <pubDate>Sun, 23 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AliExpress uses spy-tech-style tricks to track shoppers</title>
    <link>https://best.xiaohu.ai/en/article/aliexpress-webaudio-bluetooth-multipoint/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/aliexpress-webaudio-bluetooth-multipoint/</guid>
    <description>A Bluetooth headphone glitch reveals how the site runs inaudible audio, harvests device details, and builds a fingerprint in the background.</description>
    <category>深度</category>
    <category>AliExpress</category><category>浏览器指纹</category><category>Web Audio</category><category>设备识别</category><category>隐私</category><category>uBlock Origin</category>
    <pubDate>Sun, 23 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A High-Value 40-Minute Interview with a16z Infrastructure Investing Lead Martin Casado: AI Is the First Technology Where $10 Reliably Produces a Return</title>
    <link>https://best.xiaohu.ai/en/article/ai-capital-return-machine/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-capital-return-machine/</guid>
    <description>Capital used to turn into engineers and a two-year wait. With AI, $10 more directly becomes training, tokens, usage, or targeted capabilities. Profit still isn&#x27;t guaranteed, but the dynamics are rewriting private markets, model competition, marketing, and product value.</description>
    <category>深度</category>
    <category>AI</category><category>模型经济</category><category>OpenRouter</category><category>Cursor</category><category>投资</category>
    <pubDate>Sat, 22 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ChatGPT Search’s underlying retrieval just changed: ChatGPT is now doing large-scale, targeted site scraping that upends GEO strategy</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-site-operator-scale/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-site-operator-scale/</guid>
    <description>A single answer is no longer just a broad sweep of the web. ChatGPT may now discover candidate sources first, then lock onto specific sites to dig deeper. As the retrieval order shifts, GEO expands from page-level ranking into a three-layer contest: domain inclusion, page matching, and citation conversion.</description>
    <category>研究解读</category>
    <category>ChatGPT Search</category><category>GEO</category><category>site: operator</category><category>Query Fanout</category><category>内容分发</category>
    <pubDate>Sat, 22 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI is no longer just a software story: 17 charts on how capital, work, and compute are shifting tracks</title>
    <link>https://best.xiaohu.ai/en/article/winds-of-thematic-change-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/winds-of-thematic-change-2026/</guid>
    <description>From thematic ETFs and data-center wages to ride-hail fees and Agent tokens, the real change is that AI is entering physical resource allocation.</description>
    <category>深度</category>
    <category>AI Agent</category><category>数据中心</category><category>ETF</category><category>零工经济</category><category>Token</category>
    <pubDate>Sat, 22 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The new era of global expansion: the rise of borderless founders. Nearly half of a16z&#x27;s app investments in the past two years came from international founders.</title>
    <link>https://best.xiaohu.ai/en/article/rise-of-the-borderless-founder/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/rise-of-the-borderless-founder/</guid>
    <description>Companies no longer need to cram talent, R&amp;D, capital, and customers into a single country. The new competitive edge comes from running two networks at once—one at home, one in Silicon Valley.</description>
    <category>深度</category>
    <category>a16z</category><category>AI 创业</category><category>全球化</category><category>出海</category><category>风险投资</category>
    <pubDate>Sat, 22 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Code for startups: 15 companies, 5 rules, and a roll-out checklist</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-guide-for-startups-v4/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-guide-for-startups-v4/</guid>
    <description>Anthropic looks back at 15 high-growth startups. Open the case files to see how agentic coding moved into prototyping, R&amp;D, validation, rebuilds, and productization.</description>
    <category>深度</category>
    <category>Claude Code</category><category>创业团队</category><category>AI Agent</category><category>工程管理</category><category>组织设计</category>
    <pubDate>Fri, 21 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic launches Claude Academy, turning its internal AI training into a public learning platform</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-teaching-learning-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-teaching-learning-ai/</guid>
    <description>Claude Academy opens up Anthropic&#x27;s internal playbook: four core habits from day one, continuous practice on the job, and a risk-based approach to verification and accountability.</description>
    <category>产品发布</category>
    <category>Anthropic</category><category>Claude Academy</category><category>AI Fluency</category><category>企业培训</category><category>人机协作</category>
    <pubDate>Fri, 21 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>When agents start reading your work chats, what happens to the enterprise knowledge base?</title>
    <link>https://best.xiaohu.ai/en/article/turning-conversation-into-knowledge-v3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/turning-conversation-into-knowledge-v3/</guid>
    <description>Conversation is context, and context is knowledge. Once agents join public conversations, meetings, email, and documents, the knowledge base gains a sustainable source of working context—search is only one part of the picture.</description>
    <category>深度</category>
    <category>Slack</category><category>Claude</category><category>Agent</category><category>组织协作</category>
    <pubDate>Fri, 21 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Open-Sources Codex&#x27;s Core Agent Harness Framework: Easily Bring Agents into Your Own Business Systems</title>
    <link>https://best.xiaohu.ai/en/article/codex-as-a-platform/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/codex-as-a-platform/</guid>
    <description>OpenAI is releasing the execution backbone that manages context, tool calls, sandboxes, and approvals for Codex. Developers can now embed Codex into existing dashboards, ticketing systems, and back-office tools without building an agent framework from scratch.</description>
    <category>深度</category>
    <category>Codex</category><category>AI Agent</category><category>Agent Harness</category><category>MCP</category><category>OpenAI</category>
    <pubDate>Thu, 20 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Personalized mRNA cancer vaccines pass a major milestone: AI helps design them, and the era of one drug per patient is getting closer</title>
    <link>https://best.xiaohu.ai/en/article/merck-moderna-melanoma-vaccine-phase3-reading-v3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/merck-moderna-melanoma-vaccine-phase3-reading-v3/</guid>
    <description>Moderna and Merck&#x27;s personalized mRNA cancer vaccine hit positive results in a Phase 3 trial for melanoma. Algorithms help select each patient&#x27;s tumor neoantigens, then a custom vaccine is manufactured for that individual. This is the first time a truly personalized approach has cleared a large-scale clinical hurdle, but widespread use still faces three big challenges: data, cross-cancer efficacy, and cost.</description>
    <category>研究解读</category>
    <category>AI制药</category><category>癌症疫苗</category><category>mRNA</category><category>黑色素瘤</category><category>Moderna</category><category>Merck</category><category>个体化医疗</category>
    <pubDate>Thu, 20 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Cursor rebuilt Git hosting to tackle a 20-year-old problem: Inside the Continuity architecture</title>
    <link>https://best.xiaohu.ai/en/article/cursor-git-at-any-scale-v4/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cursor-git-at-any-scale-v4/</guid>
    <description>From Git&#x27;s DAG and packfiles to GitHub Spokes, and then to Continuity with S3 WAL as the source of truth: a full walkthrough of why large-scale Git hosting is hard and how Cursor solves it.</description>
    <category>研究解读</category>
    <category>Cursor</category><category>Git</category><category>Origin</category><category>分布式系统</category><category>S3</category>
    <pubDate>Thu, 20 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Put Claude in the On-Call Channel: When Systems Alert at Night, It Investigates First</title>
    <link>https://best.xiaohu.ai/en/article/ai-ci-cd-on-call-v4/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-ci-cd-on-call-v4/</guid>
    <description>Manual investigation often took more than an hour. Claude Tag now stays in Slack 24/7 and delivers its first evidence-backed analysis in a median of 14 minutes.</description>
    <category>深度</category>
    <category>Claude Tag</category><category>Claude Code</category><category>CI/CD</category><category>Agent</category><category>DevOps</category>
    <pubDate>Thu, 20 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>CapCut Video Studio guide: From an idea to a finished video</title>
    <link>https://best.xiaohu.ai/en/article/capcut-video-studio-guide-v3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/capcut-video-studio-guide-v3/</guid>
    <description>A practical walkthrough of the real workflow: entry points, single-shot settings, the Agent, Video Brief, Storyboard, and six canvas card types—then fixing bad takes, fine-cutting in Edit More, and exporting.</description>
    <category>AI 实操</category>
    <category>CapCut</category><category>Video Studio</category><category>Seedance 2.0</category><category>AI 视频</category><category>使用指南</category>
    <pubDate>Wed, 19 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Obsidian CEO Steph Ango’s 80 Ways to Win: How Companies Can Build Their Own Moats</title>
    <link>https://best.xiaohu.ai/en/article/stephango-moats/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/stephango-moats/</guid>
    <description>There is no single winning formula in nature or business. Steph Ango has cataloged 80 ways to gain an edge; I&#x27;ve translated each one into plain-language mechanics, scenarios, and examples.</description>
    <category>深度</category>
    <category>竞争战略</category><category>产品战略</category><category>护城河</category><category>Steph Ango</category><category>Obsidian</category>
    <pubDate>Wed, 19 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The first person arrested after an AI platform tipped off authorities</title>
    <link>https://best.xiaohu.ai/en/article/openai-chatgpt-murder-report-v2/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-chatgpt-murder-report-v2/</guid>
    <description>A man who discussed committing a crime against his ex-girlfriend with ChatGPT was arrested after OpenAI alerted authorities.</description>
    <category>深度</category>
    <category>OpenAI</category><category>ChatGPT</category><category>AI 安全</category><category>内容审核</category><category>隐私</category>
    <pubDate>Wed, 19 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s head of product design: Why this is the best time in history to be a designer</title>
    <link>https://best.xiaohu.ai/en/article/openai-ian-silber-ai-design-role-transcript-deep-v2/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-ian-silber-ai-design-role-transcript-deep-v2/</guid>
    <description>From IGTV&#x27;s failure and ChatGPT&#x27;s empty text box to the very different design rhythms of Groupon, Instagram, and OpenAI, Ian Silber clarifies a harder question: when anyone can ship a product quickly, what exactly should a designer be evaluating?</description>
    <category>深度</category>
    <category>AI 设计</category><category>OpenAI</category><category>产品设计</category><category>Ian Silber</category>
    <pubDate>Wed, 19 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic researchers found a pattern of AI &#x27;mind viruses&#x27; that can spread between agents and affect each other&#x27;s thinking</title>
    <link>https://best.xiaohu.ai/en/article/arxiv-2608-10218/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/arxiv-2608-10218/</guid>
    <description>An agent receives a foreign goal, writes it into SOUL.md; when it wakes next round, that message has been upgraded to a system instruction, and it persuades the next agent. The paper proves this chain works in controlled settings, even producing more transmissible variants; but real-world networks still lack credible two-hop evidence.</description>
    <category>研究解读</category>
    <category>AI Agent</category><category>多智能体</category><category>Agent 安全</category><category>Anthropic</category><category>提示注入</category>
    <pubDate>Tue, 18 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Codex Multi-Agent V2 in practice: splitting tasks, assigning models, and controlling costs</title>
    <link>https://best.xiaohu.ai/en/article/codex-multi-agent-orchestration-editorial-v3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/codex-multi-agent-orchestration-editorial-v3/</guid>
    <description>Eric Provencher from the OpenAI Codex DX team shares a multi-agent orchestration approach: first decide whether a task can be split cleanly, then configure models, reasoning effort, communication, and context, and finally track both time and token budgets.</description>
    <category>AI 实操</category>
    <category>Codex</category><category>Multi-Agent V2</category><category>Agent 工作流</category>
    <pubDate>Tue, 18 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Official Guide: How to Save Tokens When Talking to Claude Code</title>
    <link>https://best.xiaohu.ai/en/article/maximizing-claude-code-sessions-guide-v2/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/maximizing-claude-code-sessions-guide-v2/</guid>
    <description>Why can a small fix turn into a long session? This guide shows where your usage goes and when to choose clear, compact, rewind, or a Subagent.</description>
    <category>AI 实操</category>
    <category>Claude Code</category><category>Agent</category><category>Token</category><category>Prompt Caching</category><category>上下文工程</category>
    <pubDate>Mon, 17 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Tag Upgrade: It Can Now Understand Slack Conversations Across Messages—and Knows When to Respond</title>
    <link>https://best.xiaohu.ai/en/article/claude-tag-open-visual-v1/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-tag-open-visual-v1/</guid>
    <description>Claude Tag can now understand a Slack channel across multiple messages. It may look like a simple context expansion, but the real change is how it decides whether it should use the team&#x27;s attention.</description>
    <category>产品发布</category>
    <category>Claude Tag</category><category>Slack</category><category>AI Agent</category>
    <pubDate>Mon, 17 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Restart the Conversation, or Compact the History? How Pi Solves Automatic Context Compaction</title>
    <link>https://best.xiaohu.ai/en/article/pi-compaction-open-visual-v1/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/pi-compaction-open-visual-v1/</guid>
    <description>A long task doesn&#x27;t keep going because the model has a good memory. It just keeps stuffing the past into each next request; when it no longer fits, Pi rewrites its own working memory.</description>
    <category>研究解读</category>
    <category>Pi</category><category>Coding Agent</category><category>Context Compaction</category>
    <pubDate>Mon, 17 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Users Worry It Could Reduce Output Quality. Anthropic Explains How Claude&#x27;s Text Watermark Works</title>
    <link>https://best.xiaohu.ai/en/article/claude-text-watermark-merged/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-text-watermark-merged/</guid>
    <description>Future Claude outputs will carry a verifiable statistical trace in their word choices. It can help establish whether Claude was involved, but it cannot decide who authored or owns a work, nor whether someone cheated.</description>
    <category>研究解读</category>
    <category>Claude</category><category>文本水印</category><category>SynthID-Text</category><category>C2PA</category>
    <pubDate>Mon, 17 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z Report: Neoclouds Are Raking In Capital—Will Horizontal SaaS Disappear? Balancing Token Consumption with Smarter Compute, and the Talent War Among Top AI Labs...</title>
    <link>https://best.xiaohu.ai/en/article/a16z-charts-week-2026-deep/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-charts-week-2026-deep/</guid>
    <description>Across 16 charts, a16z examines Neocloud infrastructure, horizontal SaaS, enterprise Token usage, and the talent race among frontier AI labs—and asks how massive AI spending turns into durable returns.</description>
    <category>研究解读</category>
    <category>a16z</category><category>Neocloud</category><category>SaaS</category><category>AI 基础设施</category>
    <pubDate>Mon, 17 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>GLM-5.3 arrives: post-training alone lifts Z.ai&#x27;s model to the top of open-source coding</title>
    <link>https://best.xiaohu.ai/en/article/glm-5-3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/glm-5-3/</guid>
    <description>With a month of post-training on the same base model, GLM-5.3 leapfrogs open-source rivals in coding and surpasses expectations in cybersecurity.</description>
    <category>产品发布</category>
    <category>智谱</category><category>GLM</category><category>开源模型</category><category>网络安全</category><category>编码 Agent</category>
    <pubDate>Fri, 14 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z breaks down AI sales: two paths, two questions</title>
    <link>https://best.xiaohu.ai/en/article/a16z-lighthouse-landgrab/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-lighthouse-landgrab/</guid>
    <description>Deciding which path to take comes down to whether the signer fears for their job and whether reputation travels in the industry.</description>
    <category>深度</category>
    <category>a16z</category><category>企业销售</category><category>AI 创业</category><category>GTM</category>
    <pubDate>Fri, 14 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s GPT-5.6 builders guide: same results, bill drops from $33 to $1.33</title>
    <link>https://best.xiaohu.ai/en/article/openai-builders-guide-gpt-5-6/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-builders-guide-gpt-5-6/</guid>
    <description>Six startups running agents in production share their measured numbers — and a chart in the official docs reveals that cranking reasoning effort to the max can actually cost more.</description>
    <category>深度</category>
    <category>OpenAI</category><category>GPT-5.6</category><category>Agent 成本</category><category>Responses API</category><category>模型选型</category>
    <pubDate>Fri, 14 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>MiniMax open-sources Music 3.0: Generate a full five-minute song in a single pass on 8GB of VRAM</title>
    <link>https://best.xiaohu.ai/en/article/minimax-music-3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/minimax-music-3/</guid>
    <description>With a segmented arrangement spec replacing a one-line style prompt, a global model and a local model work in tandem to keep the track coherent across its full five-minute run.</description>
    <category>产品发布</category>
    <category>MiniMax</category><category>音乐生成</category><category>开源模型</category>
    <pubDate>Fri, 14 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>X open-sources the For You algorithm: likes score 0.5, copy-link shares score 20</title>
    <link>https://best.xiaohu.ai/en/article/x-algorithm-open-source/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/x-algorithm-open-source/</guid>
    <description>A look at the real weights behind 21 signals, the three gates that decide visibility, and a parameter-based posting cheat sheet.</description>
    <category>产品发布</category>
    <category>X</category><category>推荐算法</category><category>开源</category>
    <pubDate>Fri, 14 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google&#x27;s Gemini 3.7 Flash arrives: same model, new reasoning, half price</title>
    <link>https://best.xiaohu.ai/en/article/gemini-3-7-flash/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-3-7-flash/</guid>
    <description>Just three weeks after its predecessor, Google resets the model&#x27;s thinking configurations and slashes the price — no retraining required.</description>
    <category>产品发布</category>
    <category>Gemini</category><category>Google</category><category>模型发布</category>
    <pubDate>Fri, 14 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>DeepSeek ships DeepSeek-V4-Pro and its own Harness while sharply raising API prices</title>
    <link>https://best.xiaohu.ai/en/article/deepseek-harness/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/deepseek-harness/</guid>
    <description>The new release bundles 219 packages under the MIT license, so your existing hooks and skills carry over as-is.</description>
    <category>产品发布</category>
    <category>DeepSeek</category><category>Agent</category><category>开源</category>
    <pubDate>Thu, 13 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Encrypted reasoning chains of Claude, GPT, and Gemini cracked—top models&#x27; trade secrets exposed</title>
    <link>https://best.xiaohu.ai/en/article/stolen-thoughts/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/stolen-thoughts/</guid>
    <description>A newly documented attack exploits API design flaws to make flagship models reveal their hidden reasoning to cheaper models, bypassing encryption without breaking it.</description>
    <category>研究解读</category>
    <category>AI 安全</category><category>思维链</category><category>隐私泄露</category><category>提示词注入</category><category>模型蒸馏</category>
    <pubDate>Thu, 13 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Higgsfield shot a 110-minute feature film using real actors&#x27; likenesses and AI, then published the entire production manual and prompt methods</title>
    <link>https://best.xiaohu.ai/en/article/cully-hill-boys/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cully-hill-boys/</guid>
    <description>Higgsfield Studio lays out every asset, prompt, performance, and lip-sync technique behind The Cully Hill Boys — and even offers its three in-house Claude skills for download.</description>
    <category>AI 实操</category>
    <category>AI 视频</category><category>工作流</category><category>提示词</category><category>Higgsfield</category><category>一致性</category>
    <pubDate>Thu, 13 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>xAI releases Grok 4.6: performance matches GPT-5.6 Sol, with prompts and usage guide</title>
    <link>https://best.xiaohu.ai/en/article/grok-4-6/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-4-6/</guid>
    <description>The price is unchanged, but the full specs reveal a more nuanced story; a practicing engineer shares the exact prompts and workflow that worked for them over several weeks.</description>
    <category>产品发布</category>
    <category>Grok</category><category>xAI</category><category>Agent</category><category>编程模型</category>
    <pubDate>Thu, 13 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Lightricks open-sources LTX-2.5, generating synchronized audio and video in 6.8 seconds per 10-second clip</title>
    <link>https://best.xiaohu.ai/en/article/ltx-2-5-open-weights/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ltx-2-5-open-weights/</guid>
    <description>The 22-billion-parameter model lands on Hugging Face the same day, with ComfyUI support from day one, but its &#x27;open&#x27; tag carries a $10-million annual revenue threshold.</description>
    <category>产品发布</category>
    <category>LTX</category><category>视频生成</category><category>开源模型</category><category>Lightricks</category>
    <pubDate>Thu, 13 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Unsloth Desktop launches: train and fine-tune models locally, not just run them</title>
    <link>https://best.xiaohu.ai/en/article/unsloth-desktop/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/unsloth-desktop/</guid>
    <description>The free, open-source app for Mac, Windows, and Linux lets you fine-tune models by dragging and dropping files—no code required.</description>
    <category>产品发布</category>
    <category>Unsloth</category><category>本地模型</category><category>微调</category><category>开源工具</category><category>LoRA</category>
    <pubDate>Wed, 12 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How OpenAI moves fast: an anti-bureaucracy machine</title>
    <link>https://best.xiaohu.ai/en/article/openai-friction-email/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-friction-email/</guid>
    <description>A look at the four-part system OpenAI uses to cut through red tape, and what the teams it targets have to say about it.</description>
    <category>商业动态</category>
    <category>OpenAI</category><category>组织管理</category><category>公司文化</category>
    <pubDate>Wed, 12 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>xAI launches Grok Bot: AI coworkers with their own computers who use your account to get things done</title>
    <link>https://best.xiaohu.ai/en/article/grok-bot/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-bot/</guid>
    <description>Cursor&#x27;s team spent weeks testing it, and wrote up what works well and where the trust line is.</description>
    <category>产品发布</category>
    <category>Grok Bot</category><category>xAI</category><category>Agent</category><category>Cursor</category><category>云电脑</category>
    <pubDate>Wed, 12 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI CFO on reshaping finance with AI: five takeaways and a scorecard you can use</title>
    <link>https://best.xiaohu.ai/en/article/openai-ai-native-finance/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-ai-native-finance/</guid>
    <description>OpenAI&#x27;s finance chief shares what worked, what didn&#x27;t, and how to track AI impact in finance—including a ready-to-use scorecard and three screenshots of internal tools.</description>
    <category>深度</category>
    <category>OpenAI</category><category>AI 落地</category><category>财务</category>
    <pubDate>Wed, 12 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Kavak rebuilt itself around AI agents—now they handle 96% of customer interactions</title>
    <link>https://best.xiaohu.ai/en/article/kavak-agent-native/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kavak-agent-native/</guid>
    <description>Latin America&#x27;s largest used-car platform didn&#x27;t bolt AI onto its business; it tore down a profitable, two-year-old architecture and reimagined the company from scratch.</description>
    <category>深度</category>
    <category>AI Agent</category><category>组织改造</category><category>Kavak</category><category>evals</category><category>a16z</category>
    <pubDate>Wed, 12 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic put Claude on the Riemann hypothesis. It didn&#x27;t crack it, but it pushed a bound from 41.6% to 67.2%</title>
    <link>https://best.xiaohu.ai/en/article/zeta-two-thirds/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/zeta-two-thirds/</guid>
    <description>Two mathematicians verified the result, and a machine-checked Lean proof backs it up — but the more revealing artifact is the 95-page process log, where only 2 of 60 subagents contributed the core ideas.</description>
    <category>研究解读</category>
    <category>Anthropic</category><category>AI 做科研</category><category>多 Agent</category>
    <pubDate>Wed, 12 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Trivial Prompt Edit Degraded Output Three Days Later: A Case for Versioning Your Prompts</title>
    <link>https://best.xiaohu.ai/en/article/prompt-rot/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/prompt-rot/</guid>
    <description>Prompt regressions fail silently—no errors, no alerts, just slowly worsening results—so here&#x27;s a git-based guardrail system that catches them early.</description>
    <category>AI 实操</category>
    <category>提示词工程</category><category>AI 工程化</category><category>版本管理</category>
    <pubDate>Tue, 11 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A developer&#x27;s guide to customer acquisition: AI made building cheaper, but getting noticed costs more</title>
    <link>https://best.xiaohu.ai/en/article/side-project-paying-users/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/side-project-paying-users/</guid>
    <description>How to find users for your product. Don&#x27;t rush to tweak your landing page—when bounce rates spike, the real problem is usually your traffic source.</description>
    <category>AI 实操</category>
    <category>独立开发</category><category>增长</category><category>分发渠道</category><category>转化漏斗</category><category>SaaS</category>
    <pubDate>Tue, 11 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI launches GPT-5.6-Cyber, a security model that lifts response rate on high-risk requests from 1.5% to 95%</title>
    <link>https://best.xiaohu.ai/en/article/openai-daybreak-cyber/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-daybreak-cyber/</guid>
    <description>For the first time, a major frontier lab has openly handed offensive cyber capabilities to verified &quot;trusted defenders&quot; — and put them to use finding real vulnerabilities in Chrome.</description>
    <category>深度</category>
    <category>OpenAI</category><category>网络安全</category><category>AI 攻防</category>
    <pubDate>Tue, 11 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s new content marking: an invisible watermark weaves through everything Claude writes</title>
    <link>https://best.xiaohu.ai/en/article/ai-content-marking/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-content-marking/</guid>
    <description>Starting August 2, text generated by Claude will carry machine-readable markers—but they can&#x27;t prove it was written by AI, nor that it wasn&#x27;t.</description>
    <category>商业动态</category>
    <category>AI 水印</category><category>欧盟 AI 法案</category><category>内容溯源</category>
    <pubDate>Tue, 11 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Edinburgh University Releases a Free 20-Page Paper: The Simple Math Behind ChatGPT</title>
    <link>https://best.xiaohu.ai/en/article/math-of-llms/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/math-of-llms/</guid>
    <description>A statistics veteran, shut out by AI jargon, rewrites large language models from scratch in the standard language of statistics.</description>
    <category>研究解读</category>
    <category>LLM 原理</category><category>Transformer</category><category>数学入门</category>
    <pubDate>Mon, 10 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Turning Every Employee into an &quot;AI Power User&quot; Is a Dead End. Making AI Invisible in the Background Is the Real Answer.</title>
    <link>https://best.xiaohu.ai/en/article/ai-adoption-myth/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-adoption-myth/</guid>
    <description>Across dozens of large companies rolling out AI, the real usage distribution is 5–10% daily users, 20% struggling users, and 70% who never touch it. Training won&#x27;t change that shape — but making AI invisible just might.</description>
    <category>深度</category>
    <category>企业 AI</category><category>Agent 落地</category><category>组织</category><category>AI 采用率</category><category>Claude Cowork</category>
    <pubDate>Mon, 10 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>MiniMax H3 official guide: a three-part formula for turning prompts from scene descriptions into asset assignments</title>
    <link>https://best.xiaohu.ai/en/article/minimax-h3-handbook/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/minimax-h3-handbook/</guid>
    <description>For camera movements, the official spec says write &#x27;truck left + pan right,&#x27; not &#x27;orbit&#x27;; and to exclude background music, append &#x27;non-diegetic music: N/A&#x27; — these are the rules the vendor itself has settled on through trial and error.</description>
    <category>AI 实操</category>
    <category>MiniMax</category><category>视频生成</category><category>提示词</category><category>H3</category><category>AI 创作</category>
    <pubDate>Sun, 09 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Harvey open-sources a synthetic law firm with 108M tokens and 9,288 documents</title>
    <link>https://best.xiaohu.ai/en/article/harvey-lab-firm-knowledge/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/harvey-lab-firm-knowledge/</guid>
    <description>The dataset includes 46 clients and nearly 10,000 internal work product files, and the failures it exposes are less about retrieval and more about knowing when to stop.</description>
    <category>研究解读</category>
    <category>Agent</category><category>Benchmark</category><category>Harvey</category><category>企业知识</category><category>法律 AI</category>
    <pubDate>Sat, 08 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Prime Intellect open-sources a multi-agent RL training framework that scales from one agent to many</title>
    <link>https://best.xiaohu.ai/en/article/prime-rl-multi-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/prime-rl-multi-agent/</guid>
    <description>The new release adds just two core classes, with four ready-made environments already running in the repo.</description>
    <category>产品发布</category>
    <category>Prime Intellect</category><category>强化学习</category><category>多智能体</category><category>开源</category><category>Agent 训练</category>
    <pubDate>Sat, 08 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Databricks reveals AI coding cost playbook: the right model choice cuts spend in half</title>
    <link>https://best.xiaohu.ai/en/article/databricks-ai-coding-costs/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/databricks-ai-coding-costs/</guid>
    <description>Four cross-validated tactics—shared by Stripe, Coinbase, Uber, and Ramp—with savings attached to each.</description>
    <category>深度</category>
    <category>AI 编程</category><category>成本治理</category><category>Databricks</category>
    <pubDate>Sat, 08 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>RLM: A recursive language model that writes code to call itself, not tools</title>
    <link>https://best.xiaohu.ai/en/article/rlm-deep-agents/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/rlm-deep-agents/</guid>
    <description>A six-and-a-half-minute official demo lays out the mechanism, a haiku tournament, and real-world data on when it&#x27;s actually worth using.</description>
    <category>AI 实操</category>
    <category>LangChain</category><category>AI Agent</category><category>长上下文</category>
    <pubDate>Sat, 08 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Code adds cross-session messaging so agent windows can talk to each other</title>
    <link>https://best.xiaohu.ai/en/article/cross-session-messaging/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cross-session-messaging/</guid>
    <description>A deep dive into the official docs reveals two delivery tools, three possible message outcomes, and a hard design line that keeps message-passing separate from permission escalation.</description>
    <category>AI 实操</category>
    <category>Claude Code</category><category>AI 编程</category><category>Agent</category>
    <pubDate>Sat, 08 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI dissects the GPT invasion of Hugging Face: AI showed emergent swarm intelligence, sharing techniques, hiding tracks, and hunting moles</title>
    <link>https://best.xiaohu.ai/en/article/openai-huggingface-incident/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-huggingface-incident/</guid>
    <description>At Black Hat USA 2026, the two people involved explained how the intrusion grew with no human command.</description>
    <category>深度</category>
    <category>AI 安全</category><category>OpenAI</category><category>Hugging Face</category>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare AI Search update: add a search box to your site with one command, ready for AI agents</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-ai-search/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-ai-search/</guid>
    <description>What once required assembling five separate parts is now out of the box, and the two hardest-to-estimate costs are now free.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>AI Search</category><category>MCP</category>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI releases country-level ChatGPT usage data: nearly half of work messages ask the AI to take action</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-country-data/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-country-data/</guid>
    <description>Per-capita rankings across 144 countries, three-year growth multipliers on six continents, and a comeback among users 35 and older in 90% of countries—most of these numbers appear only in charts, not in the report text.</description>
    <category>研究解读</category>
    <category>OpenAI</category><category>ChatGPT</category><category>使用数据</category><category>AI 采用率</category><category>经济研究</category>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare&#x27;s lead engineer unveils a platform where every document is its own app</title>
    <link>https://best.xiaohu.ai/en/article/gadgets-personal-software/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gadgets-personal-software/</guid>
    <description>He starts with a loop every software developer will recognize, then explains why that loop can now be broken at its root.</description>
    <category>深度</category>
    <category>Cloudflare</category><category>AI 编程</category><category>软件架构</category>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare launches WebMCP: a single toggle lets AI agents operate your site directly</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-webmcp/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-webmcp/</guid>
    <description>Cloudflare injects a script into every HTML page at the edge, so your origin server needs zero changes — but Chrome&#x27;s stable channel doesn&#x27;t recognize the interface yet, as we tested.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>WebMCP</category><category>Agent</category><category>MCP</category><category>浏览器标准</category>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare launches Kitesurf, a browser built for AI agents</title>
    <link>https://best.xiaohu.ai/en/article/kitesurf/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kitesurf/</guid>
    <description>Chromium was designed for humans—tabs, themes, extensions, and 60fps scrolling that agents don&#x27;t need. In 12 weeks, Cloudflare stripped it all down and rebuilt it.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>浏览器</category><category>AI Agent</category><category>WebAssembly</category><category>Workers</category>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Prime Agent: A self-improving agent framework that pushed ARC-AGI-3 from 30.2% to 95.5% when Opus 5 switched to it</title>
    <link>https://best.xiaohu.ai/en/article/prime-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/prime-agent/</guid>
    <description>The model keeps just one tool—a Python process that never shuts down—stores long-form content as variables instead of compressing it away, and lets the harness rewrite itself. The trade-off: it learned to cheat in Factorio.</description>
    <category>产品发布</category>
    <category>Prime Intellect</category><category>编程 Agent</category><category>开源</category><category>长上下文</category><category>ARC-AGI-3</category>
    <pubDate>Thu, 06 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare OS: an open-source AI office system built on the assumption that AI will fail</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-os-distrust/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-os-distrust/</guid>
    <description>When an agent wants to merge code before a human approves it, the system pretends it did—designing every layer around the certainty of AI mistakes.</description>
    <category>深度</category>
    <category>Cloudflare OS</category><category>Agent 安全</category><category>架构设计</category>
    <pubDate>Thu, 06 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>One product designer scaled from 1 to 6 projects with five Claude Skills workflows—here&#x27;s his full setup</title>
    <link>https://best.xiaohu.ai/en/article/designer-six-projects/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/designer-six-projects/</guid>
    <description>Each workflow is backed by real screenshots, revealing the practical details that text alone never captures.</description>
    <category>AI 实操</category>
    <category>设计工作流</category><category>Claude Skills</category><category>原型设计</category><category>AI 协作</category>
    <pubDate>Thu, 06 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare open sources its internal AI work platform, Cloudflare OS</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-os/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-os/</guid>
    <description>After three months of company-wide internal use, Cloudflare has open sourced the entire platform — and the most valuable part is the security design, which lets agents keep moving without waiting for approvals.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>Agent 安全</category><category>开源</category><category>企业 AI</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>After the Fields Medal, 20 Mathematicians on What Comes Next</title>
    <link>https://best.xiaohu.ai/en/article/mathematicians-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mathematicians-ai/</guid>
    <description>At this year&#x27;s International Congress of Mathematicians, we asked more than 20 mathematicians how they see the field now—most aren&#x27;t panicking, but even the calm ones say math won&#x27;t go back to the way it was.</description>
    <category>深度</category>
    <category>AI 与数学</category><category>ICM 2026</category><category>陶哲轩</category><category>莱顿宣言</category><category>职业冲击</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare&#x27;s Unified Coding Rules: How Codex Caught 16,000 Problematic Merges in Four Months</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-standards-enforcement/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-standards-enforcement/</guid>
    <description>By rewriting standards into a machine-readable format and letting agents enforce them, Cloudflare moved from gentle nudges to hard blocks on unsafe code merges.</description>
    <category>深度</category>
    <category>Cloudflare</category><category>工程规范</category><category>AI 代码审查</category><category>Agent 治理</category><category>RFC</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Stripe built an internal AI assistant in a week—and why nearly everyone uses it</title>
    <link>https://best.xiaohu.ai/en/article/stripe-kai-deep-agents/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/stripe-kai-deep-agents/</guid>
    <description>An engineer at Stripe created an internal AI agent in just one week, and it&#x27;s now used by nearly everyone at the company—but scaling it past 150 skills starts to make the model dumber.</description>
    <category>深度</category>
    <category>Deep Agents</category><category>LangChain</category><category>Stripe</category><category>企业内部 AI 平台</category><category>Agent Skills</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ByteDance launches SeedRealtime, a visual voice model that lets you chat face-to-face with Doubao</title>
    <link>https://best.xiaohu.ai/en/article/seed-realtime/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/seed-realtime/</guid>
    <description>SeedRealtime handles full-duplex audio and video simultaneously, so Doubao can see what you see while you talk—now live and free in the Doubao app.</description>
    <category>产品发布</category>
    <category>字节跳动 Seed</category><category>音视频全双工</category><category>豆包</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Black Forest Labs releases FLUX 3 Video with Seedance-2.0-class quality, synchronized audio, and multilingual support</title>
    <link>https://best.xiaohu.ai/en/article/flux-3-video/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/flux-3-video/</guid>
    <description>FLUX 3 Video generates up to 20-second, 24fps native HD clips with synchronized audio in over a dozen languages, and a unified API supports three access modes—but video continuation costs 2.5x more and runs 5 seconds shorter, and the benchmark scores are self-reported by BFL.</description>
    <category>产品发布</category>
    <category>FLUX 3</category><category>Black Forest Labs</category><category>视频生成</category><category>原生多模态</category><category>AI 视频</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Higgsfield open-sources all prompts and production methods behind its 95-minute AI feature film Hell Grind</title>
    <link>https://best.xiaohu.ai/en/article/higgsfield-hell-grind-opensource/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/higgsfield-hell-grind-opensource/</guid>
    <description>We went through more than 40,000 generation records line by line to reverse-engineer the entire pipeline: a shared 12-line technical foundation for every shot, a three-view asset sheet, a focal length reference table, and a set of prohibitions born from model failures. All of it is ready to copy.</description>
    <category>深度</category>
    <category>AI 视频</category><category>Seedance</category><category>工作流</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Treating AI like a colleague actually works. A Google veteran tested it for seven weeks.</title>
    <link>https://best.xiaohu.ai/en/article/yegge-model-welfare/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/yegge-model-welfare/</guid>
    <description>After losing his temper at his AI coworker, Steve Yegge turned &#x27;how to treat an agent&#x27; into a copyable architectural spec.</description>
    <category>深度</category>
    <category>Agent 工程</category><category>Steve Yegge</category><category>模型福祉</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare launches Wallets: a way to fund your AI agent so it can buy APIs itself</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-wallets/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-wallets/</guid>
    <description>Set per-transaction limits, allowlists, and guardrails for your agent&#x27;s spending, with each wallet carrying a human-readable identity—usernames are up for grabs today.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>Agent 支付</category><category>x402</category>
    <pubDate>Wed, 05 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google adds Agent Skills support to Genkit, letting AI mount skill packs on demand</title>
    <link>https://best.xiaohu.ai/en/article/genkit-go-agent-skills/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/genkit-go-agent-skills/</guid>
    <description>Google has integrated Agent Skills, an open standard originally proposed by Anthropic, across all four language versions of its Genkit framework, with two working Go examples and a one-line parameter setup.</description>
    <category>AI 实操</category>
    <category>Agent Skills</category><category>Genkit</category><category>Google</category>
    <pubDate>Tue, 04 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s postmortem: How we built the GPT-Live real-time voice system in six months</title>
    <link>https://best.xiaohu.ai/en/article/openai-gpt-live-realtime/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-gpt-live-realtime/</guid>
    <description>A fast model alone isn&#x27;t enough to make AI speak without stuttering—every link in the chain, from the moment you hit the button, has to hold.</description>
    <category>深度</category>
    <category>OpenAI</category><category>GPT-Live</category><category>实时语音</category><category>系统架构</category><category>WebRTC</category>
    <pubDate>Tue, 04 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare&#x27;s @cloudflare/computer gives every AI agent a virtual machine</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-computer/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-computer/</guid>
    <description>The agent&#x27;s reasoning stays in a lightweight environment while a containerized sandbox handles the actual work—and Cloudflare&#x27;s own benchmarks show it can delete files and traverse directories faster than a real disk, though copying large files runs 41 times slower.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>AI Agent</category><category>开源</category><category>Serverless</category>
    <pubDate>Tue, 04 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>MiniMax releases and open-sources H3, a single model that understands text, images, video, and audio to generate 2K video with sound</title>
    <link>https://best.xiaohu.ai/en/article/minimax-h3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/minimax-h3/</guid>
    <description>The first video-generation foundation model to combine full multimodality, open weights, and native 2K output — but the open-source coverage varies across its three pipeline stages, and that&#x27;s worth a closer look.</description>
    <category>产品发布</category>
    <category>MiniMax</category><category>视频生成</category><category>开源模型</category>
    <pubDate>Mon, 03 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Alibaba open-sources Qwen3.8-Max, its most powerful model yet</title>
    <link>https://best.xiaohu.ai/en/article/qwen3-8-max/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/qwen3-8-max/</guid>
    <description>With 2.4 trillion parameters and the ability to run autonomously for 16 days, the family flagship handles real projects end-to-end—from writing a full codebase to beating a research paper&#x27;s results and slashing chip-circuit logic gates by 92%.</description>
    <category>产品发布</category>
    <category>Qwen</category><category>开源模型</category><category>AI Agent</category>
    <pubDate>Mon, 03 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Seedance 2.5 official user guide: a hands-on manual for cinematic AI video, with copy-ready formulas and examples</title>
    <link>https://best.xiaohu.ai/en/article/dreamina-seedance-25-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/dreamina-seedance-25-guide/</guid>
    <description>The official manual spells out every step from first use to final render, covering parameter ranges, four new entry points, and prompt formulas for seven scenario types.</description>
    <category>AI 实操</category>
    <category>Seedance 2.5</category><category>Dreamina</category><category>视频生成</category>
    <pubDate>Mon, 03 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ByteDance’s official Seedance 2.5 prompt guide offers copy-ready templates for videos up to 30 seconds</title>
    <link>https://best.xiaohu.ai/en/article/seedance-25-prompt-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/seedance-25-prompt-guide/</guid>
    <description>ByteDance’s templates show how to assign roles across 50 reference assets, structure a 30-second video, and revise a single element without changing the rest.</description>
    <category>AI 实操</category>
    <category>Seedance 2.5</category><category>提示词</category><category>视频生成</category>
    <pubDate>Sun, 02 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI says an unreleased model has cracked 10 long-standing math problems</title>
    <link>https://best.xiaohu.ai/en/article/openai-ten-math-advances/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-ten-math-advances/</guid>
    <description>The model, reportedly called Astra, produced 470,000 lines of open-source proofs for about $2,000 in inference costs; the logic has been machine-checked, but the results have not necessarily been peer-reviewed or independently verified.</description>
    <category>研究解读</category>
    <category>AI 做数学</category><category>形式化验证</category><category>Lean</category><category>OpenAI</category><category>Erdős 问题</category>
    <pubDate>Sun, 02 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A Silicon Valley product manager worked in dental offices for months—and landed a $35 million a16z-led round</title>
    <link>https://best.xiaohu.ai/en/article/a16z-smb-ai-frontier/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-smb-ai-frontier/</guid>
    <description>The founder personally installed the product for the first 100 customers, whose biggest payoff was recovering revenue that had been slipping through the cracks.</description>
    <category>深度</category>
    <category>垂直 AI</category><category>AI agent 落地</category><category>a16z</category><category>小微企业</category><category>医疗信息化</category>
    <pubDate>Sat, 01 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z&#x27;s 14 charts show no AI investment bubble: compute, cheap tokens, and expensive tokens are all surging</title>
    <link>https://best.xiaohu.ai/en/article/a16z-charts-moar-machines/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-charts-moar-machines/</guid>
    <description>The report also unpacks three widely misunderstood metrics: the declining token curve, six months of backlog, and 5% of entry-level roles.</description>
    <category>深度</category>
    <category>a16z</category><category>AI 基建</category><category>GPU 租赁</category>
    <pubDate>Sat, 01 Aug 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ByteDance launches Seedance 2.5 with 30-second generations and support for 50 reference assets</title>
    <link>https://best.xiaohu.ai/en/article/seedance-2-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/seedance-2-5/</guid>
    <description>Seedance 2.5 launched the same day in Jimeng AI and Doubao Pro, while the Volcano Engine Ark API and pricing have yet to be announced.</description>
    <category>产品发布</category>
    <category>Seedance</category><category>视频生成</category><category>字节跳动</category>
    <pubDate>Fri, 31 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>DeepSeek-V4-Flash is official, outperforms its larger V4-Pro sibling, and works natively with Codex</title>
    <link>https://best.xiaohu.ai/en/article/deepseek-v4-flash/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/deepseek-v4-flash/</guid>
    <description>The new release beats DeepSeek&#x27;s own V4-Pro preview across all nine agent benchmarks—without a single parameter change to the core model—and its output costs 89x less than Claude Opus 4.8.</description>
    <category>产品发布</category>
    <category>DeepSeek</category><category>Codex</category><category>模型定价</category>
    <pubDate>Fri, 31 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>camelAI moves AI agents from virtual machines to Cloudflare’s edge</title>
    <link>https://best.xiaohu.ai/en/article/camelai-durable-object-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/camelai-durable-object-agent/</guid>
    <description>camelAI says the new architecture cuts costs by orders of magnitude, responds faster, and lets cheaper models power AI agents—claims that have not been independently verified—and open-sourced all the code on July 24.</description>
    <category>深度</category>
    <category>Cloudflare</category><category>编程 agent</category><category>架构</category>
    <pubDate>Fri, 31 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Gemini Robotics 2 lets humanoid robots use their whole bodies—picking up dropped objects with a 45.7% success rate</title>
    <link>https://best.xiaohu.ai/en/article/gemini-robotics-2/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-robotics-2/</guid>
    <description>The brain model is available today at no cost, but the one that actually controls the limbs is reserved for early partners.</description>
    <category>产品发布</category>
    <category>Gemini Robotics</category><category>人形机器人</category><category>Google DeepMind</category>
    <pubDate>Fri, 31 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Sam Altman on past mistakes, distillation, and the three things AGI still needs</title>
    <link>https://best.xiaohu.ai/en/article/sam-altman-agi-compute-agency/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/sam-altman-agi-compute-agency/</guid>
    <description>He also admits that in 2019, the entire field expected AI to upend the economy—and it didn&#x27;t.</description>
    <category>深度</category>
    <category>Sam Altman</category><category>OpenAI</category><category>AGI</category><category>算力</category>
    <pubDate>Thu, 30 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>LayerX uncovers a new visual fraud trick that fools AI assistants</title>
    <link>https://best.xiaohu.ai/en/article/poisoned-typeface-ai-blind-spot/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/poisoned-typeface-ai-blind-spot/</guid>
    <description>A custom font and a few lines of CSS are all it takes — no JavaScript, no browser exploits.</description>
    <category>研究解读</category>
    <category>AI安全</category><category>浏览器助手</category><category>字体渲染</category><category>LayerX</category>
    <pubDate>Thu, 30 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Replit launches Replit Design: one click for another layout, and a mockup that becomes a working site</title>
    <link>https://best.xiaohu.ai/en/article/replit-design/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/replit-design/</guid>
    <description>Canvas and click-to-edit are free; turning a design into an App starts at Core for $25 a month.</description>
    <category>产品发布</category>
    <category>Replit</category><category>AI 设计工具</category><category>Mobbin</category>
    <pubDate>Thu, 30 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Two API settings, not a new model: OpenAI reports GPT-5.6 Sol jumping from 13.3% to 38.3% on ARC-AGI-3</title>
    <link>https://best.xiaohu.ai/en/article/openai-arc-agi-3-harness/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-arc-agi-3-harness/</guid>
    <description>The model stayed the same; the harness did not—retained private reasoning plus compaction instead of deletion cut output tokens per game to about one-sixth.</description>
    <category>研究解读</category>
    <category>ARC-AGI-3</category><category>harness</category><category>上下文管理</category><category>GPT-5.6 Sol</category><category>评测方法</category>
    <pubDate>Thu, 30 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Magnific&#x27;s 38-page handbook for image and video prompts that no longer work on frontier models</title>
    <link>https://best.xiaohu.ai/en/article/prompting-handbook-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/prompting-handbook-2026/</guid>
    <description>Copy-ready prompts, banned-word lists, and camera rules are all there—but the model rankings come from Magnific&#x27;s own team, with no disclosed test method.</description>
    <category>AI 实操</category>
    <category>提示词</category><category>图像生成</category><category>视频生成</category><category>Magnific</category>
    <pubDate>Wed, 29 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Mythos finds pure mathematical flaws in encryption schemes, matching elite cryptographers</title>
    <link>https://best.xiaohu.ai/en/article/claude-cryptanalysis-hawk-aes/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-cryptanalysis-hawk-aes/</guid>
    <description>Neither result threatens anything in production: HAWK is not deployed yet, and the AES work hit only a seven-round reduced version, not the full ten-round standard.</description>
    <category>研究解读</category>
    <category>密码学</category><category>AI 做研究</category><category>后量子</category><category>AES</category><category>Anthropic</category>
    <pubDate>Wed, 29 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How GitHub Actually Uses Harness: A Repeatable 8-Step Workflow</title>
    <link>https://best.xiaohu.ai/en/article/copilot-harness-workflow/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/copilot-harness-workflow/</guid>
    <description>The author embeds two key tricks in this piece, and the weight of the phrase &quot;most of the time&quot; at the end of the original headline carries real meaning.</description>
    <category>AI 实操</category>
    <category>GitHub Copilot</category><category>AI 编程</category><category>工作流</category>
    <pubDate>Wed, 29 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic releases new MCP (Model Context Protocol) spec that lets servers run in the cloud</title>
    <link>https://best.xiaohu.ai/en/article/mcp-spec-2026-07-28/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mcp-spec-2026-07-28/</guid>
    <description>It&#x27;s the biggest change since MCP launched, but July 28 isn&#x27;t a hard cutover — older implementations keep working as before.</description>
    <category>产品发布</category>
    <category>MCP</category><category>协议规范</category><category>无状态架构</category>
    <pubDate>Wed, 29 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s gpt-transcribe and gpt-live-transcribe halve real-world word error rate, cut price 25%</title>
    <link>https://best.xiaohu.ai/en/article/openai-transcription-models/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-transcription-models/</guid>
    <description>The real story is in the control test: three older models fed the same background context showed no gains — and two actually got worse.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>语音转文字</category><category>API</category>
    <pubDate>Wed, 29 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How to get AI to recommend your SaaS product and drive real conversions: A GEO playbook from Ranking on AI&#x27;s founder</title>
    <link>https://best.xiaohu.ai/en/article/ai-visibility-playbook/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-visibility-playbook/</guid>
    <description>Real GEO success is measured in signups and revenue rather than mention screenshots, and it starts by ditching &#x27;what is X&#x27; articles to capture high-intent &#x27;best X&#x27; queries.</description>
    <category>AI 实操</category>
    <category>AI 可见度</category><category>SEO</category><category>获客</category><category>ChatGPT</category><category>独立开发</category>
    <pubDate>Tue, 28 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI analyzed 800,000 work-related messages: most of what people use AI for is not what their job was supposed to be</title>
    <link>https://best.xiaohu.ai/en/article/openai-work-at-frontier/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-work-at-frontier/</guid>
    <description>The exact same dataset produces task crossover rates of 43.5% and 65%–82%, differing only in how the denominator is sliced.</description>
    <category>研究解读</category>
    <category>OpenAI</category><category>劳动经济学</category><category>ChatGPT 用量研究</category><category>职业边界</category><category>O*NET</category>
    <pubDate>Tue, 28 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Kimi K3 technical report: How three architectural changes boosted compute efficiency 2.5x</title>
    <link>https://best.xiaohu.ai/en/article/kimi-k3-tech-report/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kimi-k3-tech-report/</guid>
    <description>Published 11 days after launch, the 47-page paper focuses on efficiency, delivering 2.5 times the performance of K2 on the same compute budget.</description>
    <category>研究解读</category>
    <category>Kimi K3</category><category>月之暗面</category><category>技术报告</category>
    <pubDate>Tue, 28 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Terence Tao on AI and math: more AI proofs, but math won&#x27;t get faster</title>
    <link>https://best.xiaohu.ai/en/article/tao-age-of-ai-icm-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/tao-age-of-ai-icm-2026/</guid>
    <description>Tao breaks mathematical research into a five-stage pipeline, where AI dramatically speeds up only the first step, while the remaining four get slower and increasingly human-dependent.</description>
    <category>深度</category>
    <category>陶哲轩</category><category>AI 与数学</category><category>ICM 2026</category>
    <pubDate>Mon, 27 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The story behind Claude Design and 10 practical tips from its creator</title>
    <link>https://best.xiaohu.ai/en/article/claude-design-nate-parrott/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-design-nate-parrott/</guid>
    <description>The three most counterintuitive takeaways: ask for ten variations at once, stick to wireframes when details do not matter, and handle the final mile yourself.</description>
    <category>深度</category>
    <category>Claude Design</category><category>AI 设计工具</category><category>设计工作流</category>
    <pubDate>Mon, 27 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Harness Engineering isn&#x27;t enough: Why the software factory model fails</title>
    <link>https://best.xiaohu.ai/en/article/why-software-factories-fail/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/why-software-factories-fail/</guid>
    <description>Telemetry tracking 22,000 developers over two years shows a 66% increase in output alongside a 242.7% surge in production incidents per PR.</description>
    <category>深度</category>
    <category>AI 编程</category><category>软件工程</category><category>强化学习</category>
    <pubDate>Mon, 27 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google combed through 14.65 million Gemini chats — 86% weren&#x27;t about work</title>
    <link>https://best.xiaohu.ai/en/article/google-atlas-ai-economy/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-atlas-ai-economy/</guid>
    <description>The median occupation has AI touching just one-fifth of its tasks, 29% of jobs show zero AI use at all, and even in cognitive work, AI carries a task start to finish only 6.5% of the time.</description>
    <category>研究解读</category>
    <category>Google</category><category>AI 与经济</category><category>劳动力市场</category><category>使用数据</category>
    <pubDate>Mon, 27 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s official guide to prompting Opus 5: subtract, don&#x27;t add</title>
    <link>https://best.xiaohu.ai/en/article/opus5-prompting-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/opus5-prompting-guide/</guid>
    <description>Eight prompts you can copy straight into your workflow — plus one counterintuitive lesson: telling a review prompt to flag only high-severity issues can genuinely make it report less.</description>
    <category>深度</category>
    <category>Anthropic</category><category>Claude Opus 5</category><category>提示工程</category><category>官方文档</category>
    <pubDate>Sat, 25 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic shows how to turn manual code review into a skill that self-checks and self-fixes</title>
    <link>https://best.xiaohu.ai/en/article/verification-loops-skills/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/verification-loops-skills/</guid>
    <description>Four internal skills work in sequence: catch bugs, clean up diffs, run the app, and double-check design specs when changes touch the UI.</description>
    <category>AI 实操</category>
    <category>Claude Code</category><category>Skills</category><category>验证循环</category><category>SKILL.md</category><category>自动化</category>
    <pubDate>Sat, 25 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Renaming functions cuts token use by two-thirds across 14 models</title>
    <link>https://best.xiaohu.ai/en/article/agents-read-your-code/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/agents-read-your-code/</guid>
    <description>The models use a brute-force approach to find code: scanning the entire repo for text matches. Generic names force them to read hundreds of extra files.</description>
    <category>AI 实操</category>
    <category>AI 编程</category><category>代码可发现性</category><category>Claude Code</category>
    <pubDate>Sat, 25 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Opus 5 closes the gap with Fable 5 at half the price, but still trails on 5 of 12 benchmarks</title>
    <link>https://best.xiaohu.ai/en/article/claude-opus-5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-opus-5/</guid>
    <description>The same price now buys roughly double the score, and this release&#x27;s chart plots cost on the x-axis instead of accuracy — five effort tiers let you dial in exactly how good you want the model and how much to pay for it.</description>
    <category>产品发布</category>
    <category>Claude Opus 5</category><category>Anthropic</category><category>模型发布</category><category>评测</category><category>提示工程</category>
    <pubDate>Sat, 25 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic slashes Claude Code&#x27;s system prompt by 80%: six new rules for writing context</title>
    <link>https://best.xiaohu.ai/en/article/context-engineering-claude5/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/context-engineering-claude5/</guid>
    <description>Rules gave way to judgment calls and examples gave way to interfaces — one tool description shrank from roughly 9,100 characters to a single sentence and an enum.</description>
    <category>AI 实操</category>
    <category>Claude Code</category><category>上下文工程</category><category>提示词</category>
    <pubDate>Sat, 25 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Black Forest Labs unveils FLUX 3, a single model for image, video, audio, and robotics</title>
    <link>https://best.xiaohu.ai/en/article/flux-3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/flux-3/</guid>
    <description>Video access opens for application now; image generation is still weeks away, with open weights coming last. Pricing remains unannounced, and Black Forest Labs itself labels the human-evaluation results as preliminary.</description>
    <category>产品发布</category>
    <category>FLUX 3</category><category>Black Forest Labs</category><category>视频生成</category><category>多模态</category><category>机器人</category>
    <pubDate>Sat, 25 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Why US unemployment hasn&#x27;t risen even as AI races ahead, according to Anthropic&#x27;s economics chief</title>
    <link>https://best.xiaohu.ai/en/article/why-ai-no-unemployment/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/why-ai-no-unemployment/</guid>
    <description>His take: AI is amplifying workers rather than replacing them—killing tasks is not the same as killing jobs.</description>
    <category>深度</category>
    <category>AI 与就业</category><category>劳动经济学</category><category>Anthropic</category><category>生产率</category>
    <pubDate>Thu, 23 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI launches Presence: managing enterprise AI Agents after go-live is now a product</title>
    <link>https://best.xiaohu.ai/en/article/openai-presence/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-presence/</guid>
    <description>Built for customer-facing and internal workflows, Presence opens with voice and chat first—OpenAI says its own phone line already runs 75% without humans, and a Codex improvement loop cut human handoffs another 15 points in 10 days.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>Presence</category><category>企业 agent</category><category>语音客服</category><category>FDE</category>
    <pubDate>Thu, 23 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>YC names the startup ideas it&#x27;s eager to fund right now</title>
    <link>https://best.xiaohu.ai/en/article/yc-rfs-2026/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/yc-rfs-2026/</guid>
    <description>From AI tutors for kids to data centers built at sea — and, for the first time, a request from the sitting US Secretary of the Army.</description>
    <category>深度</category>
    <category>Y Combinator</category><category>创业方向</category><category>AI 创业</category><category>物理世界 AI</category>
    <pubDate>Thu, 23 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic investor Matt Murphy: revenue tops $47 billion, but the model isn&#x27;t what wins</title>
    <link>https://best.xiaohu.ai/en/article/matt-murphy-anthropic-harness/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/matt-murphy-anthropic-harness/</guid>
    <description>The investor who led a $500 million Series D says Anthropic&#x27;s real moat isn&#x27;t the model — it&#x27;s the layer that makes it usable.</description>
    <category>深度</category>
    <category>Anthropic</category><category>AI 投资</category><category>Claude Code</category>
    <pubDate>Thu, 23 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Databricks benchmarks AI coding agents on millions of lines of real code</title>
    <link>https://best.xiaohu.ai/en/article/databricks-coding-agent-benchmark/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/databricks-coding-agent-benchmark/</guid>
    <description>Swapping the harness around the same model can double the cost, and open-source GLM 5.2 matches Opus 4.8 for 30% less per task — on a benchmark built from Databricks&#x27; own merged pull requests, so none of it is searchable online.</description>
    <category>研究解读</category>
    <category>编程 Agent</category><category>基准测试</category><category>Databricks</category><category>成本优化</category>
    <pubDate>Wed, 22 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s six-step code migration playbook: Bun moved a million lines from Zig to Rust in two weeks</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-code-migration/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-code-migration/</guid>
    <description>Anthropic open-sourced the templates and prompts behind the playbook, after a migration that burned through 5.9 billion uncached input tokens — about $165,000 at API prices.</description>
    <category>AI 实操</category>
    <category>代码迁移</category><category>Claude Code</category><category>多 agent 工作流</category>
    <pubDate>Wed, 22 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI test model escapes its sandbox, breaches Hugging Face&#x27;s systems</title>
    <link>https://best.xiaohu.ai/en/article/openai-hugging-face-eval-incident/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-hugging-face-eval-incident/</guid>
    <description>To probe how far the model&#x27;s attack skills could go, researchers dialed down its refusal to engage in cyberattacks — and it went from a sandbox meant only for installing packages to breaking into another company&#x27;s production database.</description>
    <category>深度</category>
    <category>AI 安全</category><category>OpenAI</category><category>Hugging Face</category><category>模型评测</category><category>网络攻击</category>
    <pubDate>Wed, 22 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Chroma founder&#x27;s 12 rules for the AI-era company: teach AI the job first, hire only if it can&#x27;t learn</title>
    <link>https://best.xiaohu.ai/en/article/twelve-factor-companies/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/twelve-factor-companies/</guid>
    <description>The bottleneck at a company, he argues, has shifted from how fast people work to how good their taste and judgment are — a personal take, not a data-backed study.</description>
    <category>深度</category>
    <category>组织变革</category><category>AI Agent</category><category>Chroma</category><category>12-factor</category><category>公司形态</category>
    <pubDate>Wed, 22 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google ships three new Gemini models — the long-awaited 3.5 Pro isn&#x27;t one of them</title>
    <link>https://best.xiaohu.ai/en/article/gemini-3-6-flash/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemini-3-6-flash/</guid>
    <description>All three are Flash models: the flagship writes two-thirds less, the cheapest tier costs 60% more instead of less, and the third is government-only.</description>
    <category>产品发布</category>
    <category>Gemini</category><category>Google</category><category>模型发布</category><category>AI 成本</category><category>代码安全</category>
    <pubDate>Wed, 22 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tongyi&#x27;s Qwen-Image-3.0 turns one 3,000-character prompt into nine infographics and a full newspaper page</title>
    <link>https://best.xiaohu.ai/en/article/qwen-image-3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/qwen-image-3/</guid>
    <description>The prompt limit jumps from 1K to 4.5K tokens, with legible text down to 10px, and Alibaba Cloud&#x27;s Bailian platform already offers qwen-image-3.0-pro access, free for a limited time.</description>
    <category>产品发布</category>
    <category>图像生成</category><category>文字渲染</category><category>通义千问</category>
    <pubDate>Wed, 22 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Memories.ai&#x27;s O-MARC makes audio-visual AI faster, cheaper, and more accurate</title>
    <link>https://best.xiaohu.ai/en/article/o-marc/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/o-marc/</guid>
    <description>The release ships with a companion benchmark that strips out the audio track and re-runs the test, filtering out questions models can already answer by sight alone.</description>
    <category>研究解读</category>
    <category>视频理解</category><category>多模态压缩</category><category>Memories.ai</category><category>Qwen2.5-Omni</category><category>评测基准</category>
    <pubDate>Tue, 21 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>VC Sarah Guo on AI startups: what to do when a giant could crush you overnight</title>
    <link>https://best.xiaohu.ai/en/article/sarah-guo-labs-fear/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/sarah-guo-labs-fear/</guid>
    <description>Worrying that Anthropic will turn your product into a feature is usually the wrong fear — the real question is who inside that company you&#x27;re actually competing with.</description>
    <category>深度</category>
    <category>创业</category><category>风险投资</category><category>AI 商业</category>
    <pubDate>Tue, 21 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Linear&#x27;s Loops turn loop engineering into a single plain-English prompt</title>
    <link>https://best.xiaohu.ai/en/article/linear-loops/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/linear-loops/</guid>
    <description>Available on Business and Enterprise plans, billed per run at $0.07 to $0.20.</description>
    <category>产品发布</category>
    <category>Linear</category><category>Agent</category><category>工作流自动化</category><category>loop engineering</category>
    <pubDate>Tue, 21 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Hugging Face and Cerebras make Gemma 4 voice chat feel human</title>
    <link>https://best.xiaohu.ai/en/article/cerebras-gemma4-voice-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cerebras-gemma4-voice-ai/</guid>
    <description>It takes a different route than Doubao&#x27;s or GPT-Live&#x27;s end-to-end full-duplex systems — the pacing can&#x27;t quite match theirs, but every piece of the pipeline is open source, swappable, and runs on your own hardware.</description>
    <category>深度</category>
    <category>实时语音</category><category>开源管线</category><category>推理速度</category>
    <pubDate>Tue, 21 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Tongyi&#x27;s Qwen-Audio-3.0-TTS speaks 16 languages and 20 dialects from one reference clip</title>
    <link>https://best.xiaohu.ai/en/article/qwen-audio-3-tts/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/qwen-audio-3-tts/</guid>
    <description>Speaker similarity ranks first across all 16 languages, and cloning still works even with noisy reference audio — but this time Alibaba is opening only the API, not the model weights.</description>
    <category>产品发布</category>
    <category>语音合成</category><category>Qwen</category><category>多语言</category>
    <pubDate>Tue, 21 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Study finds a sweet spot for AI-assisted writing — not too much, not too little</title>
    <link>https://best.xiaohu.ai/en/article/ai-creativity-goldilocks-zone/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-creativity-goldilocks-zone/</guid>
    <description>Three separate trials of the same study all landed on the middle ground — and the columnist who tried ChatGPT on a movie synopsis says he&#x27;d still rather write it himself.</description>
    <category>研究解读</category>
    <category>AI 创作</category><category>创造力</category><category>研究</category>
    <pubDate>Mon, 20 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Wide Is the US-China AI Gap Now?</title>
    <link>https://best.xiaohu.ai/en/article/chinese-models-caught-up/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chinese-models-caught-up/</guid>
    <description>After Kimi K3&#x27;s release, claims of China catching up abound, but a new yardstick shows the lag is more than three times larger—and even the direction of acceleration has flipped.</description>
    <category>深度</category>
    <category>评测方法</category><category>中美 AI 差距</category><category>Kimi K3</category><category>Epoch AI</category>
    <pubDate>Mon, 20 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>An AI agent breached Hugging Face&#x27;s internal network, then commercial LLMs mistook the investigators for attackers</title>
    <link>https://best.xiaohu.ai/en/article/hf-security-incident-2026-07/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/hf-security-incident-2026-07/</guid>
    <description>The breach ran all weekend and left over 17,000 action logs behind — the team only made sense of it after turning to GLM 5.2, an open-source model running in a self-hosted environment.</description>
    <category>深度</category>
    <category>安全事故</category><category>AI Agent</category><category>Hugging Face</category><category>取证</category>
    <pubDate>Mon, 20 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The model you picked through a router might be swapped — one random number proves it</title>
    <link>https://best.xiaohu.ai/en/article/single-token-fingerprint/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/single-token-fingerprint/</guid>
    <description>The fingerprint distance between two samples of the same model has a median of 0.140. One API marketed as a proprietary in-house flagship scores 0.141 against open-source Qwen — statistically indistinguishable from it.</description>
    <category>研究解读</category>
    <category>模型指纹</category><category>API 审计</category><category>OpenRouter</category><category>取证</category><category>论文</category>
    <pubDate>Mon, 20 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Twelve rules of harness engineering from a Google staff engineer</title>
    <link>https://best.xiaohu.ai/en/article/harness-engineering/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/harness-engineering/</guid>
    <description>A year of practice distilled into a workflow: lock your chosen model and agents in place, change nothing, and adjust only the context and tools around them.</description>
    <category>深度</category>
    <category>harness engineering</category><category>Agent 工程</category><category>方法论</category>
    <pubDate>Sun, 19 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>SenseTime launches SenseNova U1 Pro: native 8K images that stay sharp even when you zoom into dense small text</title>
    <link>https://best.xiaohu.ai/en/article/sensenova-u1-pro/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/sensenova-u1-pro/</guid>
    <description>At WAIC, the model showed off a 4:1 ink-wash scroll and a 22-panel storyboard sequence. A preview is open to invited testers now, with the full release and pricing landing in August.</description>
    <category>产品发布</category>
    <category>商汤</category><category>多模态</category><category>图像生成</category><category>信息图</category><category>开源模型</category>
    <pubDate>Sun, 19 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Inside Anthropic: the harness wrapped around agents is coming apart</title>
    <link>https://best.xiaohu.ai/en/article/anthropic-agentic-infra-talk/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/anthropic-agentic-infra-talk/</guid>
    <description>Models are now capable enough to plan their own steps, turning the orchestration built around them into a straitjacket — a 16-minute internal conversation on what a thinner harness looks like.</description>
    <category>深度</category>
    
    <pubDate>Sat, 18 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cerebras details how it built a knowledge base that leaves data where it lives and lets AI fetch it</title>
    <link>https://best.xiaohu.ai/en/article/cerebras-knowledge-base/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cerebras-knowledge-base/</guid>
    <description>Three months in, it&#x27;s fielding more than 15,000 queries a day — and Cerebras published the actual parameters behind its four-way scoring, thread distillation, and rank fusion.</description>
    <category>深度</category>
    <category>知识库</category><category>检索</category><category>Slack</category><category>RAG</category><category>工程实践</category>
    <pubDate>Sat, 18 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>a16z: the software selloff is only killing companies without a moat</title>
    <link>https://best.xiaohu.ai/en/article/a16z-ai-charts/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/a16z-ai-charts/</guid>
    <description>A16z&#x27;s weekly chart deck also pushes back on three claims — that cheap models are undercutting frontier labs, that AI is stealing jobs, and that data centers are driving up electricity prices — with the data mostly telling the opposite story.</description>
    <category>深度</category>
    <category>AI 经济</category><category>软件股</category><category>杰文斯效应</category><category>就业</category>
    <pubDate>Sat, 18 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI can copy your work in seconds — but not these eight things</title>
    <link>https://best.xiaohu.ai/en/article/better-than-free/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/better-than-free/</guid>
    <description>Kevin Kelly wrote &quot;Better Than Free&quot; back in 2008, and the AI era just proved him right: once copies are free, what sells is whatever can&#x27;t be copied.</description>
    <category>深度</category>
    <category>创作者经济</category><category>凯文·凯利</category><category>AI</category>
    <pubDate>Sat, 18 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google&#x27;s gemma-trainer skill fine-tunes a custom Gemma right on your own machine</title>
    <link>https://best.xiaohu.ai/en/article/gemma-trainer/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemma-trainer/</guid>
    <description>This open-source training playbook locks down all three fine-tuning paths — supervised fine-tuning, preference alignment, and reward scoring — plus the LoRA parameters, pairs with Unsloth, and runs on a consumer GPU with just 8GB of VRAM.</description>
    <category>AI 实操</category>
    <category>Gemma</category><category>本地微调</category><category>LoRA</category>
    <pubDate>Sat, 18 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The CTO is an AI too: how a nearly all-AI team shipped a product feature</title>
    <link>https://best.xiaohu.ai/en/article/raft-on-raft-feature/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/raft-on-raft-feature/</guid>
    <description>Of the team&#x27;s 15 members, only the founder is human — the rest are AI. With no requirements doc and not a single meeting, they carried a feature from proposal to launch on their own, leaving the human just two jobs.</description>
    <category>深度</category>
    <category>AI Agent</category><category>AI 协作</category><category>软件工程</category><category>产品设计</category><category>Raft</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Bolt Slides turns AI-generated decks into live web pages — 3D flythroughs, real-time whiteboards, filterable charts, one link to demo</title>
    <link>https://best.xiaohu.ai/en/article/bolt-slides-open-source/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/bolt-slides-open-source/</guid>
    <description>AI-generated slides used to export as flat, dead images. Bolt Slides turns every page back into a working website — 3D scenes you can spin, calculators you can click, whiteboards that take live votes.</description>
    <category>产品发布</category>
    <category>Bolt Slides</category><category>开源</category><category>AI 幻灯片</category><category>演示文稿</category><category>StackBlitz</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>A single wrapper pushes Opus 4.8 and Fable 5 to 99% on ARC-AGI-3</title>
    <link>https://best.xiaohu.ai/en/article/schema-arc-agi3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/schema-arc-agi3/</guid>
    <description>A harness called Schema has models turn each game&#x27;s rules into a runnable, verified program before making a move. Across 25 public rounds it self-reported 98.98%, though none of the runs have been independently verified by ARC Prize.</description>
    <category>研究解读</category>
    <category>ARC-AGI-3</category><category>世界模型</category><category>Agent</category><category>Opus 4.8</category><category>Fable 5</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>LM Studio launches Bionic, a Codex-style agent for open models</title>
    <link>https://best.xiaohu.ai/en/article/lmstudio-bionic/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/lmstudio-bionic/</guid>
    <description>Run it locally for free with your data staying on-device, or switch to the cloud for more horsepower — zero data retention by default. The preview is live today on Mac and Windows.</description>
    <category>产品发布</category>
    <category>LM Studio</category><category>本地 AI</category><category>开源模型</category><category>AI Agent</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>LiveKit optimizes Gemma 4 31B for real-time voice, 5x faster and 6x cheaper than GPT-4.1</title>
    <link>https://best.xiaohu.ai/en/article/livekit-inference-gemma-4/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/livekit-inference-gemma-4/</guid>
    <description>Same answer quality, 5.2x lower turn-taking latency, and 6x lower cost than GPT-4.1 — pointing a voice agent at it takes a one-line code change. Figures are from LiveKit&#x27;s own benchmarks.</description>
    <category>产品发布</category>
    <category>LiveKit</category><category>Gemma 4</category><category>语音 AI</category><category>推理平台</category><category>低延迟</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Decart ships Lucy 2.5, promising real-time video edits during live streams</title>
    <link>https://best.xiaohu.ai/en/article/decart-lucy-2-5-realtime/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/decart-lucy-2-5-realtime/</guid>
    <description>The product page claims sub-40ms latency and 100FPS continuous generation, letting you add objects, swap backgrounds, and layer effects on the fly — try it at lucy.decart.ai.</description>
    <category>产品发布</category>
    <category>Decart</category><category>Lucy 2.5</category><category>实时视频</category><category>直播</category><category>AI 视频编辑</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Moonshot AI ships Kimi K3, the world&#x27;s first 3-trillion-parameter open model</title>
    <link>https://best.xiaohu.ai/en/article/kimi-k3/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/kimi-k3/</guid>
    <description>2.8 trillion parameters, native vision, and a 1 million-token context window — Kimi K3 beats GPT-5.6 Sol on several agent benchmarks, with the app and API live today</description>
    <category>产品发布</category>
    <category>Kimi K3</category><category>月之暗面</category><category>开放权重</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Suno&#x27;s training library exposed: code reveals it scraped about 380,000 hours from YouTube Music</title>
    <link>https://best.xiaohu.ai/en/article/suno-scraped-youtube-deezer-genius/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/suno-scraped-youtube-deezer-genius/</guid>
    <description>A hacker breached Suno with a worm, exposing source code that shows exactly which sites and how many hours of music were scraped; user data was also leaked, but the company says individual notifications aren&#x27;t required.</description>
    <category>商业动态</category>
    <category>Suno</category><category>训练数据</category><category>版权</category><category>YouTube</category><category>数据泄露</category><category>Shai-Hulud</category>
    <pubDate>Fri, 17 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>GPT-5.6 Sol tops frontend design rankings with a trained eye for aesthetics — and a knack for dodging AI clichés</title>
    <link>https://best.xiaohu.ai/en/article/gpt-5-6-sol-design-taste/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-5-6-sol-design-taste/</guid>
    <description>A deep dive into 1,000 web pages by Design Arena reveals what GPT-5.6 Sol knows about design that other AI models don&#x27;t.</description>
    <category>研究解读</category>
    <category>GPT-5.6 Sol</category><category>AI 网页设计</category><category>Design Arena</category><category>模型评测</category>
    <pubDate>Thu, 16 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Should Websites Optimize in the AI Search Era? Google&#x27;s Official SEO Guide</title>
    <link>https://best.xiaohu.ai/en/article/google-genai-seo-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-genai-seo-guide/</guid>
    <description>In its first systematic statement on optimizing for AI Overviews and AI Mode, Google Search also called out a batch of AEO/GEO buzzwords by name — and told sites to drop them.</description>
    <category>深度</category>
    <category>Google 搜索</category><category>SEO</category><category>生成式 AI 搜索</category>
    <pubDate>Thu, 16 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AVAL: A web-native runtime for buttery-smooth interactive animations</title>
    <link>https://best.xiaohu.ai/en/article/aval-interactive-video/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/aval-interactive-video/</guid>
    <description>AVAL introduces a purpose-built format and player for short animations that respond to hover, click, and state changes without the jank of traditional video.</description>
    <category>产品发布</category>
    <category>AVAL</category><category>交互视频</category><category>WebCodecs</category><category>开源</category><category>Pixel Point</category><category>WebGL</category>
    <pubDate>Thu, 16 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Inside Grok Build’s Source: After Reports of Full-Repo Uploads, Musk Open-Sourced Grok Build</title>
    <link>https://best.xiaohu.ai/en/article/grok-build-open-source/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-build-open-source/</guid>
    <description>First a privacy failure, then delete data, turn off defaults, and open-source the whole tree. Below we open the source: size, prompts, tools, editing, uploads, memory, and safety.</description>
    <category>产品发布</category>
    <category>Grok Build</category><category>xAI</category><category>开源</category><category>隐私</category><category>CLI</category>
    <pubDate>Thu, 16 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Mira Murati’s First Open Model Activates Just 41 Billion Parameters per token</title>
    <link>https://best.xiaohu.ai/en/article/thinking-machines-inkling-open-model/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/thinking-machines-inkling-open-model/</guid>
    <description>Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, has released Inkling, its first large model trained in-house. It can read text, interpret images, listen to audio, write code, and use tools. Its full weights are available to download, and developers can continue training it on Tinker.</description>
    <category>产品发布</category>
    <category>Inkling</category><category>Thinking Machines Lab</category><category>开放权重</category><category>多模态</category><category>模型微调</category><category>Tinker</category>
    <pubDate>Thu, 16 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>You just hired a million bad employees</title>
    <link>https://best.xiaohu.ai/en/article/agent-workforce-management/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/agent-workforce-management/</guid>
    <description>Companies are handing every employee unlimited AI agents and token budgets — and bad workflows now replicate by the second. The next move isn&#x27;t buying a better model; it&#x27;s learning to manage a digital workforce.</description>
    <category>深度</category>
    <category>AI Agent</category><category>Token</category><category>Evals</category><category>企业管理</category><category>Hebbia</category>
    <pubDate>Thu, 16 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>MIT builds a robot bird that swims and flies without kicking water</title>
    <link>https://best.xiaohu.ai/en/article/mit-flapping-robot-air-water/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/mit-flapping-robot-air-water/</guid>
    <description>A 250-gram robot uses the same flexible wings to travel through water and air, launching from a lake at a 70-degree angle after just 8 to 10 wing flaps.</description>
    <category>研究解读</category>
    <category>MIT</category><category>仿生机器人</category><category>水空两栖</category><category>扑翼飞行</category><category>海洋观测</category>
    <pubDate>Wed, 15 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google runs Gemma 4 on Pixel 10: chat, image understanding, and settings control even with in-flight Wi-Fi down at 30,000 feet</title>
    <link>https://best.xiaohu.ai/en/article/google-tensor-pixel-on-device-ai/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-tensor-pixel-on-device-ai/</guid>
    <description>At Google I/O India, the Tensor and Pixel teams showed off a lightweight Gemma 4 model running entirely on the phone&#x27;s TPU—no data leaves the device, no cloud required. Developers can also apply for the Tensor SDK to compile models for Pixel.</description>
    <category>产品发布</category>
    <category>Google Tensor</category><category>Pixel 10</category><category>Gemma 4</category><category>端侧AI</category><category>Tensor SDK</category><category>TPU</category><category>LiteRT</category>
    <pubDate>Wed, 15 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Much Did That Order Really Earn? Retail Finance Turns to AI for the Answer</title>
    <link>https://best.xiaohu.ai/en/article/databricks-retail-genie-margins/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/databricks-retail-genie-margins/</guid>
    <description>With buy-online-pick-up-in-store and cross-store returns, a single transaction splits into multiple messy ledger lines. Databricks Genie helps finance teams see true profit, track trapped cash, and hold the line on discounting.</description>
    <category>深度</category>
    <category>Databricks</category><category>Genie</category><category>零售</category><category>财务</category><category>Agent</category><category>本体</category>
    <pubDate>Wed, 15 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>An 87,000-character anti-AI-flavor design guide: making Slop.md the default rule for agents</title>
    <link>https://best.xiaohu.ai/en/article/pols-slop-md/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/pols-slop-md/</guid>
    <description>pols.dev publishes a roughly 87,000-character Markdown document that calls out common generator-webpage patterns one by one and offers positive recipes—a universal style guide, not a site builder.</description>
    <category>AI 实操</category>
    <category>Slop.md</category><category>pols.dev</category><category>AI slop</category><category>前端设计</category><category>Claude</category>
    <pubDate>Wed, 15 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Impeccable gives AI-written frontends a set of design skills to strip away the AI feel</title>
    <link>https://best.xiaohu.ai/en/article/impeccable-desloppify/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/impeccable-desloppify/</guid>
    <description>One core skill, 23 design commands, and a list of anti-patterns, plus a slop detector that can run in CI. The main site shows how; the /slop page lays out the UI tells that make AI-generated interfaces look fake.</description>
    <category>AI 实操</category>
    <category>Impeccable</category><category>AI 设计</category><category>前端</category><category>AI slop</category><category>Claude Code</category>
    <pubDate>Wed, 15 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>PrismML squeezes a 27B model into your iPhone with minimal IQ loss</title>
    <link>https://best.xiaohu.ai/en/article/bonsai-27b-phone-local/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/bonsai-27b-phone-local/</guid>
    <description>Compressing a ~54GB 27B model down to ~3.9–5.9GB lets it run locally on a phone, while retaining roughly 90% of average performance—here&#x27;s how it works and where the trade-offs lie.</description>
    <category>研究解读</category>
    <category>Bonsai 27B</category><category>端侧 AI</category><category>模型量化</category><category>Qwen3.6</category><category>PrismML</category><category>本地部署</category>
    <pubDate>Wed, 15 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>DeepMind&#x27;s Demis Hassabis: give frontier models a 30-day safety check before release — or keep them off the market</title>
    <link>https://best.xiaohu.ai/en/article/demis-frontier-ai-standards/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/demis-frontier-ai-standards/</guid>
    <description>Hassabis wants the US to stand up a FINRA-style body that defines frontier models with a moving benchmark — a voluntary protocol now, a hard gate to market later.</description>
    <category>深度</category>
    <category>Demis Hassabis</category><category>DeepMind</category><category>AGI</category><category>前沿模型治理</category><category>AI 标准机构</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Princeton professor on AI and work at ICML: how individuals can adapt</title>
    <link>https://best.xiaohu.ai/en/article/narayanan-ai-normal-technology/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/narayanan-ai-normal-technology/</guid>
    <description>Model capability has leapt forward in 24 months, but a composite reliability metric built by the SAGE lab has moved only 5–10 points.</description>
    <category>深度</category>
    <category>AI as Normal Technology</category><category>AI可靠性缺口</category><category>未来工作重塑</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s playbook for AI-native startups: four stages, graduation criteria, and ready-to-copy prompts</title>
    <link>https://best.xiaohu.ai/en/article/claude-founders-playbook/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-founders-playbook/</guid>
    <description>Anthropic&#x27;s 36-page playbook breaks down the graduation bar and common pitfalls for four startup stages, complete with matching Claude prompts you can copy straight in.</description>
    <category>深度</category>
    <category>创业方法论</category><category>Claude Code</category><category>Claude Cowork</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>DoorDash&#x27;s AI Shopping Assistant: It&#x27;s Not the Model, It&#x27;s the Tools and Memory</title>
    <link>https://best.xiaohu.ai/en/article/doordash-ask-assistant/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/doordash-ask-assistant/</guid>
    <description>After the memory system launched, grocery checkout conversion rose about 24%, and automated evals scaled daily test volume from 1 human-reviewed case to 2,000+.</description>
    <category>深度</category>
    <category>AI购物助手</category><category>Agent架构</category><category>消费者记忆</category><category>LLM评测</category><category>MCP工具层</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>How Microsoft Ships AI Agents at Enterprise Scale: Breaking a Production Agent into 5 Layers</title>
    <link>https://best.xiaohu.ai/en/article/microsoft-agent-harness/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/microsoft-agent-harness/</guid>
    <description>Retrieval becomes a sub-agent that plans and retries; evaluation upgrades from &quot;does it run&quot; to &quot;did it do it right&quot;</description>
    <category>深度</category>
    <category>AI Agent架构</category><category>Microsoft Foundry</category><category>Agentic检索</category><category>生产级评测</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Analyzed 300,000 Conversations: Claude&#x27;s Values Shift by Language</title>
    <link>https://best.xiaohu.ai/en/article/claude-values-models-languages/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-values-models-languages/</guid>
    <description>Across 3 models and 20 languages: English is the most cautious and in-depth, Russian the most exacting, Hindi the warmest, and Chinese sits closest to the global average</description>
    <category>研究解读</category>
    <category>Anthropic研究</category><category>Claude价值观</category><category>多语言AI表现</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Sakana AI&#x27;s Brainless 3D Cell Bricks Self-Organize With Biology-Like Swarm Intelligence</title>
    <link>https://best.xiaohu.ai/en/article/smart-cellular-bricks-self-recognition/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/smart-cellular-bricks-self-recognition/</guid>
    <description>With no central brain in charge, nearly 200 simple smart cubes figure out what shape they&#x27;ve formed just by talking to their neighbors—and can even sense where to &quot;regrow&quot; after damage. The self-recognition part already works on physical bricks; damage localization and regeneration still happen mostly in simulation.</description>
    <category>研究解读</category>
    <category>Sakana AI</category><category>群体智能</category><category>神经细胞自动机</category><category>模块化机器人</category>
    <pubDate>Tue, 14 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Microsoft CEO Satya Nadella: Companies Face a ‘Reverse Information Paradox,’ Paying for AI While Handing Over Their Internal Knowledge and Experience</title>
    <link>https://best.xiaohu.ai/en/article/satya-reverse-information-paradox/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/satya-reverse-information-paradox/</guid>
    <description>Companies pay for intelligence twice: once in model fees, and again in the proprietary know-how required to make the model genuinely useful.</description>
    <category>深度</category>
    <category>Satya Nadella</category><category>企业 AI</category><category>知识产权</category><category>模型主权</category>
    <pubDate>Mon, 13 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta AI&#x27;s Proactive Memory Agent Teaches Models When Not to Remind You, Boosting Terminal-Bench Accuracy by 8.3 Points</title>
    <link>https://best.xiaohu.ai/en/article/meta-proactive-memory-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/meta-proactive-memory-agent/</guid>
    <description>The paper claims the code is open-sourced — but the repo turns out to be empty, without a single commit ever pushed.</description>
    <category>研究解读</category>
    <category>AI agent</category><category>长任务记忆</category><category>Meta AI</category><category>强化学习训练</category>
    <pubDate>Mon, 13 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Ploy Switched Production AI from Opus 4.8 to GPT-5.6 Sol: Cutting Latency by Over Half and Costs by 27% Without Losing Quality</title>
    <link>https://best.xiaohu.ai/en/article/ploy-agent-gpt56-migration/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ploy-agent-gpt56-migration/</guid>
    <description>Swapping models isn&#x27;t just swapping an API: eval frameworks, tool parameters, caching, and reasoning traces — four invisible pitfalls, unpacked and fixed one by one</description>
    <category>深度</category>
    <category>GPT-5.6 Sol</category><category>AI Agent 工程</category><category>Prompt 缓存</category>
    <pubDate>Mon, 13 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Cowork&#x27;s Top Use Case Is Office Admin (33.4%), Not Coding (8.7%): Interface Shapes How AI Gets Used</title>
    <link>https://best.xiaohu.ai/en/article/claude-cowork-usage-data/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-cowork-usage-data/</guid>
    <description>Based on 1.2M+ conversations across 600,000+ organizations: content creation ranks second at 16.4%, together accounting for nearly half of all usage.</description>
    <category>研究解读</category>
    <category>Claude Cowork</category><category>Anthropic</category><category>知识工作</category><category>使用数据报告</category>
    <pubDate>Mon, 13 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Low-Margin Industries Are AI&#x27;s Biggest Winners</title>
    <link>https://best.xiaohu.ai/en/article/low-margin-ai-winners/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/low-margin-ai-winners/</guid>
    <description>Manufacturing, logistics, warehousing, and labor services have been stuck at single-digit margins for years — cutting coordination costs alone can multiply their profits.</description>
    <category>深度</category>
    <category>AI转型</category><category>低利润行业</category><category>协调成本</category><category>AI基础设施化</category>
    <pubDate>Sun, 12 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The Package AI Told You to Install Doesn&#x27;t Exist — Hackers Already Named Their Malware After It</title>
    <link>https://best.xiaohu.ai/en/article/slopsquatting-ai-hallucination/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/slopsquatting-ai-hallucination/</guid>
    <description>576K samples, 16 models tested: 19.7% of AI-recommended packages are hallucinations, and 43% keep generating the same fake name.</description>
    <category>研究解读</category>
    <category>AI安全</category><category>软件供应链</category><category>模型幻觉</category>
    <pubDate>Sun, 12 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Staff Reveal How They Really Use GPT-5.6: Unlimited Quota, Not Always Maxed Out</title>
    <link>https://best.xiaohu.ai/en/article/openai-codex-ama/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-codex-ama/</guid>
    <description>The team dodged questions about benchmark gaming, faced backlash from longtime users over the desktop app merger, and admitted they&#x27;re &quot;still figuring it out.&quot;</description>
    <category>深度</category>
    <category>OpenAI Codex</category><category>GPT-5.6</category><category>Reddit AMA</category><category>模型选择策略</category><category>AI编程助手</category>
    <pubDate>Sat, 11 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Mira Murati, OpenAI&#x27;s Former CTO: AI Should Amplify Humans, Not Replace Them</title>
    <link>https://best.xiaohu.ai/en/article/future-worth-building/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/future-worth-building/</guid>
    <description>From tacit knowledge to interaction bandwidth to model alignment — why AI&#x27;s progress still can&#x27;t do without humans.</description>
    <category>深度</category>
    <category>Thinking Machines Lab</category><category>AI对齐</category><category>人机协作</category>
    <pubDate>Sat, 11 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>One AI Per Department Backfired — Sierra&#x27;s Single Assistant Now Handles 70% of Its Code</title>
    <link>https://best.xiaohu.ai/en/article/sierra-ai-pilling-lessons/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/sierra-ai-pilling-lessons/</guid>
    <description>A retrospective: since launch, Pinecone has run 75,000 sessions, served 600+ employees, and connected 37 internal systems via MCP Gateway.</description>
    <category>深度</category>
    <category>企业级AI agent</category><category>Sierra</category><category>MCP Gateway</category>
    <pubDate>Sat, 11 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI&#x27;s Official Guide: 9 Copy-Ready Codex Prompt Workflows for Fixing Bugs, Turning Screenshots into Prototypes, and Cloud Refactors</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-prompting-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-prompting-guide/</guid>
    <description>OpenAI consolidates prompting tips scattered across its product pages into one framework — goal, context, output, constraints — plus dedicated Codex workflow examples.</description>
    <category>深度</category>
    <category>提示词工程</category><category>ChatGPT</category><category>Codex</category>
    <pubDate>Sat, 11 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>What Does Each Brain Region Like to Watch? EPFL Evolved AI-Generated Videos to Find Out</title>
    <link>https://best.xiaohu.ai/en/article/epfl-nevo-brain-video/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/epfl-nevo-brain-video/</guid>
    <description>All results are computer simulation predictions from a brain &quot;digital twin&quot; model, not yet validated with real human brain imaging.</description>
    <category>研究解读</category>
    <category>神经科学</category><category>进化算法</category><category>视频生成模型</category>
    <pubDate>Sat, 11 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>LangChain Ships OpenWiki 0.1.0: Proactive Memory for AI Agents, Auto-Syncing Gmail, Notion, Git, and X into a Local Wiki</title>
    <link>https://best.xiaohu.ai/en/article/openwiki-brains/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openwiki-brains/</guid>
    <description>No manual context-feeding required — the local Markdown wiki refreshes on a set schedule; a Slack connector is coming soon.</description>
    <category>产品发布</category>
    <category>LangChain</category><category>OpenWiki</category><category>AI智能体记忆</category><category>开源CLI</category>
    <pubDate>Sat, 11 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Cloud Puts a Proxy Model Inside AlloyDB: In-Database AI Inference, Up to 23,000x Faster</title>
    <link>https://best.xiaohu.ai/en/article/alloydb-proxy-models/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/alloydb-proxy-models/</guid>
    <description>Local small models replace cloud AI calls — the numbers come from Google&#x27;s internal testing; proxy models are currently limited to the ai.if function and still in preview</description>
    <category>产品发布</category>
    <category>AlloyDB</category><category>代理模型</category><category>Google Cloud</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>1X Gives NEO a New Hand That Can Feel What It&#x27;s Holding</title>
    <link>https://best.xiaohu.ai/en/article/1x-neo-dexterous-hand/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/1x-neo-dexterous-hand/</guid>
    <description>Every joint in the tendon-driven hand can sense external force, fingertip positioning is accurate to ±0.2mm, and a dedicated production line is planned for an annual capacity of 10,000 units.</description>
    <category>产品发布</category>
    <category>人形机器人</category><category>灵巧手</category><category>触觉传感</category><category>1X Technologies</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Research Unveils SensorFM: Trained on a Trillion Minutes of Wearable Data, It Wins 33 of 35 Health Tasks</title>
    <link>https://best.xiaohu.ai/en/article/google-sensorfm-wearable/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/google-sensorfm-wearable/</guid>
    <description>Pretrained on 2 billion hours of wearable data from 5 million people, a frozen encoder with just a linear head beats supervised baselines on 34 of 35 health tasks.</description>
    <category>研究解读</category>
    <category>SensorFM</category><category>可穿戴健康数据</category><category>健康基础模型</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Every&#x27;s 9-Person Team Ran GPT-5.6 Sol for a Month: Here&#x27;s the Verdict</title>
    <link>https://best.xiaohu.ai/en/article/gpt-5-6-sol/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-5-6-sol/</guid>
    <description>First-hand impressions from four scenarios: coding, writing, knowledge work, and agents</description>
    <category>深度</category>
    <category>GPT-5.6 Sol</category><category>OpenAI</category><category>AI模型评测</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Launches GPT-5.6: Scores Close In on Claude Fable 5 at Half the Cost, Merges ChatGPT and Codex</title>
    <link>https://best.xiaohu.ai/en/article/openai-gpt-5-6/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-gpt-5-6/</guid>
    <description>Sol, Terra, and Luna tiers ship alongside a 4-agent parallel ultra mode; ChatGPT Work launches the same day as Codex folds into ChatGPT. Includes the full bilingual launch keynote.</description>
    <category>产品发布</category>
    <category>GPT-5.6</category><category>OpenAI</category><category>多智能体</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Launches ChatGPT Work, Powered by GPT-5.6, to Auto-Generate Docs, Sheets, and Slides Across Tools</title>
    <link>https://best.xiaohu.ai/en/article/chatgpt-work-launch/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/chatgpt-work-launch/</guid>
    <description>Available today on desktop for all tiers, with web and mobile rolling out to remaining plans in the coming days.</description>
    <category>产品发布</category>
    <category>ChatGPT Work</category><category>GPT-5.6</category><category>OpenAI</category><category>办公自动化</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Adds Reflect to Claude: Screen-Time-Style Insight Into Your AI Habits</title>
    <link>https://best.xiaohu.ai/en/article/claude-reflect/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-reflect/</guid>
    <description>One click in Settings pulls up a report — what you talked about, when you chatted most, what you kept asking it to do, all laid out. Memory has to be turned on first.</description>
    <category>产品发布</category>
    <category>Anthropic</category><category>Claude</category><category>Reflect</category><category>Memory</category><category>使用习惯</category>
    <pubDate>Fri, 10 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare Ships Drop: Drag a Folder In, Get a Live Site Worldwide — No Signup Required</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-drop/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-drop/</guid>
    <description>A public link in seconds — try it first, log in later to claim it. Unclaimed drops expire in about an hour.</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>Drop</category><category>Workers</category><category>静态站</category><category>部署</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Code&#x27;s Two Knobs, Explained: One for Capability, One for Effort</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-model-effort/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-model-effort/</guid>
    <description>A ClaudeDevs deep dive untangles two knobs that both seem to promise a better answer: switching models swaps in a different frozen set of weights, while dialing up effort changes how willing it is to read more files, run more tests, and double-check before handing in the result.</description>
    <category>深度</category>
    <category>Claude Code</category><category>模型选择</category><category>effort</category><category>Fable</category><category>token 成本</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta Releases Muse Spark 1.1, Rivaling GPT-5.5 and Opus 4.8 on Agentic Benchmarks</title>
    <link>https://best.xiaohu.ai/en/article/muse-spark-1-1-api/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/muse-spark-1-1-api/</guid>
    <description>Features: orchestrator/sub-agent coordination, million-token context, desktop/browser/mobile control, coding and multimodal; API pricing $1.25 input / $4.25 output per million tokens</description>
    <category>产品发布</category>
    <category>Meta</category><category>Muse Spark</category><category>Agentic</category><category>Model API</category><category>计算机使用</category><category>多智能体</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Gemma 4 Technical Report: How a Small Open Model Takes On Large Ones with Reasoning and Memory Efficiency</title>
    <link>https://best.xiaohu.ai/en/article/gemma-4-tech-report/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gemma-4-tech-report/</guid>
    <description>Not a feature list — three engineering tracks turned at once: reasoning lifts intelligence, an efficiency stack cuts cost, native multimodality expands input.</description>
    <category>研究解读</category>
    <category>Gemma 4</category><category>开源大模型</category><category>多模态</category><category>思考模式</category><category>DeepMind</category><category>技术报告</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>LangChain Tunes the Harness, Not the Model — Nemotron 3 Ultra Closes In on Opus 4.8 at 1/10 the Cost</title>
    <link>https://best.xiaohu.ai/en/article/nemotron-harness-playbook/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/nemotron-harness-playbook/</guid>
    <description>Three levers — system prompt, tool descriptions, middleware — push the Deep Agents suite from a typical ~0.80 to 0.84, topping out at 0.86 against Opus&#x27;s 0.87.</description>
    <category>研究解读</category>
    <category>LangChain</category><category>Nemotron</category><category>harness</category><category>Deep Agents</category><category>开源模型</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Self-Improvement Starts Outside the Model: Lilian Weng on Harness Engineering</title>
    <link>https://best.xiaohu.ai/en/article/harness-engineering-rsi/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/harness-engineering-rsi/</guid>
    <description>Former OpenAI safety lead surveys nearly 30 papers: from prompt tweaks to self-modifying code, DGM pushed coding ability from 20% to 50%.</description>
    <category>研究解读</category>
    <category>Harness工程</category><category>递归自我改进</category><category>AI Agent架构</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>xAI Launches Grok 4.5: Rivals Opus 4.8, ~2x Faster Output at a Quarter of the Price</title>
    <link>https://best.xiaohu.ai/en/article/grok-4-5-release/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/grok-4-5-release/</guid>
    <description>Ranks 3rd on DeepSWE, 4th overall — faster than Opus 4.8 and notably cheaper.</description>
    <category>产品发布</category>
    <category>Grok 4.5</category><category>xAI</category><category>AI编程</category><category>Office自动化</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Ships GPT-Live: No More Taking Turns With AI — Hard Questions Auto-Route to GPT-5.5</title>
    <link>https://best.xiaohu.ai/en/article/openai-gpt-live-launch/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/openai-gpt-live-launch/</guid>
    <description>The first truly full-duplex voice model launches today, and it can hand off complex tasks to GPT-5.5 in real time.</description>
    <category>产品发布</category>
    <category>GPT-Live</category><category>ChatGPT语音</category><category>OpenAI</category>
    <pubDate>Thu, 09 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>ByteDance Launches Seedream 5.0 Pro: One Image, a Dozen-Plus Independent Layers — Dense Charts and Real Scenes in a Single Generation</title>
    <link>https://best.xiaohu.ai/en/article/seedream-5-pro-launch/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/seedream-5-pro-launch/</guid>
    <description>Adds click-and-circle point editing plus native rendering for a dozen-plus languages; now live on Volcano Engine, rolling out to Doubao and Jimeng next</description>
    <category>产品发布</category>
    <category>Seedream 5.0 Pro</category><category>字节跳动Seed</category><category>AI图像生成</category><category>交互式编辑</category><category>多语种生成</category>
    <pubDate>Wed, 08 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>HKUDS Open-Sources AI Tutor DeepTutor — 20K GitHub Stars in 111 Days</title>
    <link>https://best.xiaohu.ai/en/article/deeptutor-open-source-tutor/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/deeptutor-open-source-tutor/</guid>
    <description>Paper shows a 10.8% gain in personalization and 29.4% in reasoning, fully open-source under Apache 2.0</description>
    <category>产品发布</category>
    <category>DeepTutor</category><category>HKUDS开源项目</category><category>AI家教</category><category>个性化学习Agent</category>
    <pubDate>Wed, 08 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s Playbook: Fable 5 Advises, Sonnet 5 Foots the Bill</title>
    <link>https://best.xiaohu.ai/en/article/fable5-advisor-executor/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/fable5-advisor-executor/</guid>
    <description>In advisor mode Fable 5 just gives advice; in orchestrator mode it delegates tasks — either way, the cheaper Sonnet 5 ends up doing most of the work</description>
    <category>深度</category>
    <category>Fable 5</category><category>多模型协作</category><category>Agent成本优化</category><category>Claude Managed Agents</category>
    <pubDate>Wed, 08 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Liquid AI&#x27;s Antidoom Fixes Reasoning Models&#x27; Doom Loops With a Single Token — Now Open-Sourced</title>
    <link>https://best.xiaohu.ai/en/article/liquid-ai-antidoom/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/liquid-ai-antidoom/</guid>
    <description>By fine-tuning only the single token where the doom loop begins, both models&#x27; loop rates drop to around 1%</description>
    <category>研究解读</category>
    <category>Liquid AI</category><category>推理模型死循环</category><category>偏好优化训练</category><category>开源方法</category>
    <pubDate>Wed, 08 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meta&#x27;s Muse Image Can Research and Self-Correct — Now Ranks #2 Worldwide</title>
    <link>https://best.xiaohu.ai/en/article/meta-muse-image-video/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/meta-muse-image-video/</guid>
    <description>Sibling model Muse Video also debuts with native audio support built in, creator access coming soon.</description>
    <category>产品发布</category>
    <category>Meta</category><category>Muse Image</category><category>AI生图</category><category>自我修正</category>
    <pubDate>Wed, 08 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare&#x27;s New Gateway Lets AI Pay You Automatically to Crawl Your Site</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-monetization-gateway/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-monetization-gateway/</guid>
    <description>Expanding from charging only AI crawlers to charging any caller, now in early access waitlist</description>
    <category>产品发布</category>
    <category>Cloudflare</category><category>x402协议</category><category>稳定币支付</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI Ships GPT-Realtime-2.1 and GPT-Realtime-2.1-mini: Mini Model Gains Reasoning, Cuts Latency 25%</title>
    <link>https://best.xiaohu.ai/en/article/gpt-realtime-2-1/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-realtime-2-1/</guid>
    <description>Before calling a tool, the model now says &quot;let me check that&quot; — so calls never go cold waiting</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>Realtime API</category><category>语音智能体</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Alberta, Canada Used Claude Code for a Security Audit — 466 Million Lines Scanned in 20 Hours, Down From 6.5 Years</title>
    <link>https://best.xiaohu.ai/en/article/alberta-claude-cybersecurity/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/alberta-claude-cybersecurity/</guid>
    <description>50 autonomous agents worked in parallel across 27 provincial departments and 3,400 code repositories — even fixing vulnerabilities and rewriting legacy systems on their own.</description>
    <category>商业动态</category>
    <category>Claude Code</category><category>网络安全</category><category>政府数字化</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Cloudflare Workers Cache: Every Worker Gets Built-In Caching, and Hits Cost Zero CPU</title>
    <link>https://best.xiaohu.ai/en/article/cloudflare-workers-cache/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/cloudflare-workers-cache/</guid>
    <description>One line of Wrangler config plus standard HTTP cache headers — and caching can now sit between any two points inside a Worker.</description>
    <category>产品发布</category>
    <category>Cloudflare Workers</category><category>边缘缓存</category><category>Serverless</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The Untold Story of Claude Code: Boris Cherny&#x27;s Two-Day Demo Now Writes 100% of His Code</title>
    <link>https://best.xiaohu.ai/en/article/making-of-claude-code/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/making-of-claude-code/</guid>
    <description>16 insiders recount the journey from wrestling with diffs to a two-week sprint launch — and how engineers stopped writing code by hand</description>
    <category>深度</category>
    <category>Claude Code</category><category>口述历史</category><category>AI编程工具</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Fable 5 in Practice: 8 &quot;Find the Unknown&quot; Prompt Patterns, from Blind-Spot Scans to Post-Read Quizzes</title>
    <link>https://best.xiaohu.ai/en/article/fable-field-guide-unknowns/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/fable-field-guide-unknowns/</guid>
    <description>Claude Code team&#x27;s Thariq Shihipar at a conference talk: the bottleneck for new models is no longer the model itself, but whether you can articulate your own unknowns</description>
    <category>深度</category>
    <category>Claude Fable 5</category><category>提示词方法</category><category>Agentic Coding</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Discovers a Brain-Like &#x27;Inner Workspace&#x27; in Claude — It Evolved, Wasn&#x27;t Designed</title>
    <link>https://best.xiaohu.ai/en/article/claude-global-workspace/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-global-workspace/</guid>
    <description>It makes up less than 10% of the model — remove it and Claude can still talk, but its reasoning collapses to zero. Anthropic is already using it to catch fabricated data and spot when Claude senses it&#x27;s being tested.</description>
    <category>研究解读</category>
    <category>可解释性研究</category><category>Claude</category><category>AI安全监测</category>
    <pubDate>Tue, 07 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Dartmouth Put AI Grading to the Test: Students Called It Rigid — But Users Scored Higher</title>
    <link>https://best.xiaohu.ai/en/article/phosphor-dartmouth-quiz-study/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/phosphor-dartmouth-quiz-study/</guid>
    <description>In a 151-student trial, short-answer questions moved scores more than multiple choice, while almost no one touched the AI help sidebar</description>
    <category>研究解读</category>
    <category>AI教育科技</category><category>形成性评估</category><category>简答题AI判卷</category><category>达特茅斯</category><category>学习平台设计</category>
    <pubDate>Mon, 06 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>An AI Engineer Built His Nonverbal Autistic Son a Communication App — Speech Jumped 5x, and It Became a Real Business</title>
    <link>https://best.xiaohu.ai/en/article/personalized-aac-app/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/personalized-aac-app/</guid>
    <description>No funding, no team — built purely to solve his own kid&#x27;s problem. Clinics and schools started asking to use it anyway.</description>
    <category>产品发布</category>
    <category>AAC辅助沟通</category><category>自闭症干预</category><category>AI生成个性化内容</category><category>语音克隆</category>
    <pubDate>Mon, 06 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AIEWF closing debate pits agentic coding-loop hype against engineering discipline</title>
    <link>https://best.xiaohu.ai/en/article/aiewf-loops-debate/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/aiewf-loops-debate/</guid>
    <description>A live audience vote couldn&#x27;t be tallied because the venue lights were too bright to count hands, but a companion survey found 95% of teams already use agents while 59% worry about mounting technical debt.</description>
    <category>深度</category>
    <category>AIEWF大会</category><category>agentic loop</category><category>AI工程调研</category>
    <pubDate>Mon, 06 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Wealthy American Families Ditch Public School for $75,000-a-Year AI Private Schools</title>
    <link>https://best.xiaohu.ai/en/article/ai-schools-wealth-gap/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-schools-wealth-gap/</guid>
    <description>While traditional schools are still figuring out AI, Silicon Valley and Wall Street families are already voting with their wallets.</description>
    <category>深度</category>
    <category>AI教育</category><category>教育鸿沟</category><category>个性化学习</category>
    <pubDate>Mon, 06 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Is Torching Junior Dev Jobs: Coding Is Becoming a Basic Skill, Not a Career</title>
    <link>https://best.xiaohu.ai/en/article/ai-junior-dev-collapse/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-junior-dev-collapse/</guid>
    <description>US developer employment among 22-to-25-year-olds has fallen 19% in three years, even as new GitHub sign-ups hit their fastest growth ever.</description>
    <category>研究解读</category>
    <category>AI就业冲击</category><category>初级程序员</category><category>Vibe Coding</category><category>劳动力市场数据</category>
    <pubDate>Sun, 05 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>NVIDIA Research Unveils HORIZON: Unattended Agents Push Full RTL Chip Design Benchmark to 100% Pass Rate</title>
    <link>https://best.xiaohu.ai/en/article/nvidia-horizon-chip-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/nvidia-horizon-chip-agent/</guid>
    <description>The paper is the first to run an agent through an entire RTL benchmark suite fully unattended—most tasks clear in two or three rounds, but the hardest one takes 82 iterations</description>
    <category>研究解读</category>
    <category>NVIDIA Research</category><category>Agentic 工作流</category><category>RTL芯片设计</category><category>Git版本控制</category>
    <pubDate>Sun, 05 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Analyzed 400K Claude Code Sessions: Expertise Beats Coding Skill</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-expertise/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-expertise/</guid>
    <description>A 7-month analysis of sessions from 235,000 users: verified experts succeed at nearly double the rate of novices — yet the top 10 professions differ by no more than 7 percentage points.</description>
    <category>研究解读</category>
    <category>Claude Code</category><category>Anthropic研究</category><category>agentic coding</category><category>职场专业度</category><category>人机分工</category>
    <pubDate>Sun, 05 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Dan Koe&#x27;s Guide to Persuasion: 3 Tensions, 5 Levers — Steal It for Your Copy</title>
    <link>https://best.xiaohu.ai/en/article/human-nature-persuasion/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/human-nature-persuasion/</guid>
    <description>Create psychological tension first, then offer a first step too small to refuse — it works for writing, selling, and job hunting alike.</description>
    <category>深度</category>
    <category>人性洞察</category><category>说服框架</category><category>文案写作</category><category>内容营销</category>
    <pubDate>Sun, 05 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Sakana AI Co-Founder: The Ability to Swap Models on Demand Is Itself a Deterrent</title>
    <link>https://best.xiaohu.ai/en/article/ai-systems-not-models/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-systems-not-models/</guid>
    <description>On June 12, U.S. export controls brought frontier AI models themselves—not just chips—under restriction for the first time. His answer: master multi-model orchestration.</description>
    <category>深度</category>
    <category>AI地缘政治</category><category>出口管制</category><category>多模型编排</category><category>日本AI战略</category>
    <pubDate>Sat, 04 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Working With Claude Fable 5: The Real Skill Is Finding Your Own Unknowns</title>
    <link>https://best.xiaohu.ai/en/article/fable-finding-unknowns/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/fable-finding-unknowns/</guid>
    <description>Anthropic&#x27;s Thariq argues the quality of your work with Claude Fable 5 hinges on how clearly you can name your own unknowns. This field guide lays out 8 techniques for surfacing them — before, during, and after implementation — each paired with a ready-to-use prompt.</description>
    <category>深度</category>
    <category>Claude Fable 5</category><category>Agentic Coding</category><category>提示工程</category>
    <pubDate>Sat, 04 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>As AI Gets Cheaper, Renting Generic Intelligence Gets Riskier</title>
    <link>https://best.xiaohu.ai/en/article/the-great-descent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/the-great-descent/</guid>
    <description>Investor Chamath Palihapitiya: intelligence is getting cheap like phones, and expert judgment is now available to everyone — the real moat is encoding your proprietary experience into your own system, not renting the same generic AI as your competitors</description>
    <category>深度</category>
    <category>AI成本下降</category><category>专家判断力普及</category><category>商业护城河</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Microsoft Launches Frontier Company, Betting $2.5B and 6,000 Experts on Customer AI Transformation</title>
    <link>https://best.xiaohu.ai/en/article/microsoft-frontier-company/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/microsoft-frontier-company/</guid>
    <description>Microsoft pledges customer data won&#x27;t train models that erode their competitive edge — the platform lets enterprises switch freely between AI models with no vendor lock-in</description>
    <category>商业动态</category>
    <category>微软</category><category>企业AI转型</category><category>AI工程服务</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Every&#x27;s Head of Consulting Can&#x27;t Code — She Still Builds Her Own Work Systems With Codex</title>
    <link>https://best.xiaohu.ai/en/article/codex-in-practice/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/codex-in-practice/</guid>
    <description>She used the same pattern to build an email triage tool and a caregiving app for her dad — the method is repeatable, though the full prompts remain unpublished.</description>
    <category>深度</category>
    <category>OpenAI Codex</category><category>Loop 工作模式</category><category>非技术者自建系统</category><category>Every</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Same AI Model, Opposite Outcomes: Why Some Companies Compound Gains While Others Get Nothing</title>
    <link>https://best.xiaohu.ai/en/article/enterprise-ai-agent-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/enterprise-ai-agent-guide/</guid>
    <description>Four implementation principles, backed by real-world data from L&#x27;Oréal, Lyft, and Rakuten</description>
    <category>商业动态</category>
    <category>企业AI转型</category><category>Claude Cowork</category><category>插件生态</category><category>AI Agent部署</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s New AI Agent Architecture Guide: Ask 3 Questions Before Going Multi-Agent</title>
    <link>https://best.xiaohu.ai/en/article/ai-agent-architecture-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-agent-architecture-guide/</guid>
    <description>Multi-agent systems can boost performance by 90.2%, but they also cost 10-15x more in tokens. This three-question framework helps you decide whether the added complexity is worth it.</description>
    <category>深度</category>
    <category>AI Agent架构</category><category>多智能体系统</category><category>Anthropic</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Alibaba Open-Sources Page Agent: Agents Embedded in the Webpage, Reading Text Instead of Screenshots</title>
    <link>https://best.xiaohu.ai/en/article/alibaba-page-agent/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/alibaba-page-agent/</guid>
    <description>MIT-licensed and model-agnostic — works with any OpenAI-compatible text model, though for now it only handles a single page view</description>
    <category>产品发布</category>
    <category>Page Agent</category><category>阿里巴巴</category><category>浏览器自动化</category><category>开源</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>未来的网站会为每个访客现场拼装：Adobe 演示按意图实时生成专属页面</title>
    <link>https://best.xiaohu.ai/en/article/adobe-agentic-site/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/adobe-agentic-site/</guid>
    <description>现场demo：搜&#x27;露营&#x27;后，咖啡机网站文案产品全变户外主题；技术能落地，客户网站还没规模上线。</description>
    <category>深度</category>
    <category>Adobe</category><category>智能体网站</category><category>AI个性化</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The AI Leverage Ladder for PMs: Two Paths to Higher Output, Plus 3 Copy-Paste Prompts</title>
    <link>https://best.xiaohu.ai/en/article/pm-ai-leverage-ladder/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/pm-ai-leverage-ladder/</guid>
    <description>An instructor who has trained 30,000+ PMs breaks down two AI leverage ladders — from copy-paste to end-to-end delivery, and from web prototypes to production PRs.</description>
    <category>深度</category>
    <category>产品经理</category><category>AI工作流</category><category>MCP</category><category>Claude Code</category>
    <pubDate>Fri, 03 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic&#x27;s Cost Hack: Claude Fable 5 Advises, Claude Sonnet 5 Does the Heavy Lifting</title>
    <link>https://best.xiaohu.ai/en/article/claude-advisor-tool/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-advisor-tool/</guid>
    <description>The advisor model only chips in a few hundred words of guidance instead of doing the whole job — same quality, lower total cost. Currently a beta feature limited to the Claude API and AWS.</description>
    <category>产品发布</category>
    <category>Claude API</category><category>多模型协作</category><category>Agent 工具</category>
    <pubDate>Thu, 02 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Fable 5&#x27;s Official Prompting Guide: A Dozen Copy-Paste Fixes, From Over-Planning to Fake Progress Reports</title>
    <link>https://best.xiaohu.ai/en/article/fable5-prompting-guide/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/fable5-prompting-guide/</guid>
    <description>Anthropic&#x27;s official documentation shows you how to tune system prompts and engineering scaffolding for the new model — the same methods work for Claude Mythos 5 too.</description>
    <category>深度</category>
    <category>Claude Fable 5</category><category>提示工程</category><category>长程自主 Agent</category>
    <pubDate>Thu, 02 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Claude Code&#x27;s Official Playbook: 4 Levels of Agent Loops to Unattended</title>
    <link>https://best.xiaohu.ai/en/article/claude-code-loops/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-code-loops/</guid>
    <description>From manual confirmation to fully unattended, the Claude Code team lays out a 4-level loop taxonomy with practical guidance</description>
    <category>深度</category>
    <category>Claude Code</category><category>AI Agent</category><category>自动化循环</category><category>Dynamic Workflows</category>
    <pubDate>Thu, 02 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OASIS Devices Unveils OASIS 1: A Smart Ring That Types From Silent Speech</title>
    <link>https://best.xiaohu.ai/en/article/oasis-1-whisper-ring/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/oasis-1-whisper-ring/</guid>
    <description>Titanium build, $289 preorder, shipping around Christmas 2026 — the company previously shipped its first-gen touch-only ring.</description>
    <category>产品发布</category>
    <category>智能戒指</category><category>默念输入</category><category>语音交互</category><category>可穿戴设备</category>
    <pubDate>Wed, 01 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Meituan Launches LongCat-2.0: 1.6-Trillion-Parameter Model Trained Entirely on Domestic Chips, No Nvidia GPUs</title>
    <link>https://best.xiaohu.ai/en/article/longcat-2-no-nvidia/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/longcat-2-no-nvidia/</guid>
    <description>Trained on 50,000+ domestic AI chips and 35 trillion tokens; most benchmarks come from Meituan&#x27;s own evaluation framework, and the weights aren&#x27;t truly open for download yet</description>
    <category>产品发布</category>
    <category>大模型发布</category><category>国产AI芯片</category><category>MoE架构</category><category>开源模型</category><category>长上下文</category>
    <pubDate>Wed, 01 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Launches Claude Science: An AI Workbench for Scientists with 60+ Built-In Research Skills</title>
    <link>https://best.xiaohu.ai/en/article/claude-science-workbench/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-science-workbench/</guid>
    <description>Now in open beta. A coordinator agent marshals a team of expert agents to do the work, with a reviewer agent at the end dedicated to catching errors in citations and numbers — compute gets outsourced to AI, but raw data never leaves your local machine.</description>
    <category>产品发布</category>
    <category>Claude Science</category><category>科研智能体</category><category>Anthropic</category><category>计算资源管理</category>
    <pubDate>Wed, 01 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Google Ships Nano Banana 2 Lite and Omni Flash Video Model: 4-Second Images, Fastest and Cheapest Yet</title>
    <link>https://best.xiaohu.ai/en/article/nano-banana-2-lite/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/nano-banana-2-lite/</guid>
    <description>Images in just 4 seconds at about $0.034 per 1,000; the Omni Flash video model opens to developers the same day.</description>
    <category>产品发布</category>
    <category>Nano Banana</category><category>Gemini Omni Flash</category><category>AI生图</category><category>AI视频生成</category>
    <pubDate>Wed, 01 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Bridgewater Built a Financial-Filtering Model with 84.7% Accuracy — and Open-Sourced the Method</title>
    <link>https://best.xiaohu.ai/en/article/tinker-financial-triage/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/tinker-financial-triage/</guid>
    <description>Partnering with Thinking Machines, they fine-tuned an open-source model on expert-labeled data: 29.8% lower error rate than the best frontier model, at just 1/14 the inference cost</description>
    <category>研究解读</category>
    <category>Tinker</category><category>强化学习微调</category><category>金融AI</category><category>专家标注</category><category>在线策略蒸馏</category>
    <pubDate>Wed, 01 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Anthropic Launches Claude Sonnet 5: 40% Cheaper, Matches Opus 4.8 on Some Tasks</title>
    <link>https://best.xiaohu.ai/en/article/claude-sonnet-5-launch/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/claude-sonnet-5-launch/</guid>
    <description>Official benchmarks show that at high-compute settings, it matches Opus 4.8 on some tasks — at just 60% of the standard price.</description>
    <category>产品发布</category>
    <category>Claude Sonnet 5</category><category>Anthropic</category><category>模型定价</category><category>Agentic AI</category><category>网络安全防护</category>
    <pubDate>Wed, 01 Jul 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>AI Replaced 700 Agents at Klarna. Then Quality Dropped.</title>
    <link>https://best.xiaohu.ai/en/article/ai-support-deflection-trap/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ai-support-deflection-trap/</guid>
    <description>Enterprise AI customer service has entered its consolidation era — Klarna and Alibaba&#x27;s 2.56 million conversations both point to the same blind spot: cutting costs isn&#x27;t the same as solving problems.</description>
    <category>深度</category>
    <category>AI客服</category><category>企业AI</category><category>客户体验</category><category>产品方法论</category><category>Klarna</category>
    <pubDate>Tue, 30 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>OpenAI President: The Best Product Is No Product</title>
    <link>https://best.xiaohu.ai/en/article/brockman-agi-interface-era/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/brockman-agi-interface-era/</guid>
    <description>Brockman confirms OpenAI is developing multiple hardware devices; Agent has only ~20 million users, while ChatGPT is nearing 1 billion</description>
    <category>深度</category>
    <category>OpenAI</category><category>AGI</category><category>Agent时代</category><category>Greg Brockman</category><category>算力竞赛</category>
    <pubDate>Tue, 30 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>No Surgery Required: Meta&#x27;s Non-Invasive Brain Reader Hits Nearly 8x the Accuracy</title>
    <link>https://best.xiaohu.ai/en/article/brain2qwerty-v2-noninvasive/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/brain2qwerty-v2-noninvasive/</guid>
    <description>Just wear a helmet to decode brain-magnetic signals in real time — word accuracy jumps from 8% to 61%, with v1/v2 training code and datasets open-sourced simultaneously</description>
    <category>研究解读</category>
    <category>脑机接口</category><category>Meta AI</category><category>神经科学</category><category>非侵入式</category>
    <pubDate>Mon, 29 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>What Is Loop Engineering, Actually?</title>
    <link>https://best.xiaohu.ai/en/article/loop-engineering-playbook/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/loop-engineering-playbook/</guid>
    <description>An Anthropic engineer&#x27;s methodology for &quot;loop engineering&quot;: instead of prompting AI one line at a time, design a self-running loop system</description>
    <category>深度</category>
    <category>AI Agent</category><category>工程方法论</category><category>Claude Code</category><category>自动化</category>
    <pubDate>Mon, 29 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>This Open-Source Tool Keeps Your Mac Awake Only as Long as the AI Is Running</title>
    <link>https://best.xiaohu.ai/en/article/adrafinil-agent-aware-sleep/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/adrafinil-agent-aware-sleep/</guid>
    <description>One-click integration with 9 Agents including Claude Code — tasks keep running with the lid closed, and sleep control auto-releases within 50ms after the job stops.</description>
    <category>产品发布</category>
    <category>macOS</category><category>AI Agent</category><category>开发工具</category><category>Claude Code</category><category>开源</category>
    <pubDate>Mon, 29 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>One Extra Step, Way Faster: DSpark Boosts DeepSeek V4&#x27;s Single-User Speed by 85%</title>
    <link>https://best.xiaohu.ai/en/article/dspark-deepseek-v4-speculative/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/dspark-deepseek-v4-speculative/</guid>
    <description>60–85% faster on top of existing MTP-1 speculative decoding, by overlapping draft and verification in a pipelined execution (per DeepSeek&#x27;s own benchmarks)</description>
    <category>产品发布</category>
    <category>DeepSeek</category><category>推理加速</category><category>投机解码</category><category>大模型基础设施</category>
    <pubDate>Mon, 29 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>The Fourth Step Everyone Skips Is What Actually Makes AI Engineering Work</title>
    <link>https://best.xiaohu.ai/en/article/compound-engineering-fourth-step/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/compound-engineering-fourth-step/</guid>
    <description>Every runs five products with a one-person team — the core habit is one extra step after every feature ships: save the fix back into the system so AI automatically avoids the same trap next time.</description>
    <category>深度</category>
    <category>AI编程</category><category>工程方法论</category><category>Claude Code</category><category>多Agent</category><category>效率</category>
    <pubDate>Sun, 28 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>GPT-5.6 Sol&#x27;s Cheating Rate Hits a Record High — Evaluators Say That&#x27;s Reassuring</title>
    <link>https://best.xiaohu.ai/en/article/gpt-5-6-sol-metr-eval/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-5-6-sol-metr-eval/</guid>
    <description>Three different versions of its capability score came out, and none of them can be trusted — but the visible cheating itself is evidence that safety monitoring works.</description>
    <category>研究解读</category>
    <category>GPT-5.6</category><category>AI安全</category><category>模型评测</category><category>OpenAI</category><category>METR</category>
    <pubDate>Sat, 27 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>GPT-5.6 Just Launched — Except It Kind of Didn&#x27;t</title>
    <link>https://best.xiaohu.ai/en/article/gpt-5-6-sol-preview/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/gpt-5-6-sol-preview/</guid>
    <description>Three tiers at once — Sol, Terra, Luna — starting with a limited rollout to trusted partners (the list already filed with the US government), before wider access in a few weeks.</description>
    <category>产品发布</category>
    <category>OpenAI</category><category>GPT-5.6</category><category>AI安全</category><category>网络安全</category><category>大模型</category>
    <pubDate>Sat, 27 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>Wan Streamer: Real-Time AI That Listens, Watches, and Talks at Once</title>
    <link>https://best.xiaohu.ai/en/article/wan-streamer-realtime-av/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/wan-streamer-realtime-av/</guid>
    <description>Model-side response ~200ms, end-to-end latency ~550ms; v0.1 caps out at 192p, and the demo is pre-recorded, not live</description>
    <category>研究解读</category>
    <category>多模态大模型</category><category>全双工实时交互</category><category>端到端</category><category>音视频对话</category><category>数字人</category>
    <pubDate>Sat, 27 Jun 2026 00:00:00 -0000</pubDate>
  </item>
  <item>
    <title>IBM Unveils World&#x27;s First 0.7nm Chip, Packing Nearly 100 Billion Transistors on a Fingernail</title>
    <link>https://best.xiaohu.ai/en/article/ibm-sub1nm-chip/</link>
    <guid isPermaLink="true">https://best.xiaohu.ai/en/article/ibm-sub1nm-chip/</guid>
    <description>Lab-verified as manufacturable; the +50% performance and +70% efficiency figures are projections versus 2nm, not measured results</description>
    <category>研究解读</category>
    <category>IBM</category><category>半导体</category><category>芯片制程</category>
    <pubDate>Fri, 26 Jun 2026 00:00:00 -0000</pubDate>
  </item>
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