Latest explainers · 21

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Practice
🎧№ 1093
PRACTICE
Source · Florian Darroman 播客⚑ Tutorial

How to get AI to recommend your SaaS product and drive real conversions: A GEO playbook from Ranking on AI's founder

Real GEO success is measured in signups and revenue rather than mention screenshots, and it starts by ditching 'what is X' articles to capture high-intent 'best X' queries.

AI visibilitySEO▶ Play07-28 · 15 min read
Free
Research
🎧№ 1092
RESEARCH
Source · OpenAI Economic Research⚑ Research

OpenAI analyzed 800,000 work-related messages: most of what people use AI for is not what their job was supposed to be

The exact same dataset produces task crossover rates of 43.5% and 65%–82%, differing only in how the denominator is sliced.

OpenAILabor economics▶ Play07-28 · 12 min read
Free
Research
🎧№ 1089
RESEARCH
Source · Kimi K3 技术报告⚑ Research

Kimi K3 technical report: How three architectural changes boosted compute efficiency 2.5x

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.

Kimi K3Moonshot AI▶ Play07-28 · 16 min read
Free
Deep Dive
🎧№ 1088
DEEP DIVE
Source · 陶哲轩个人网站⚑ Expert view

Terence Tao on AI and math: more AI proofs, but math won't get faster

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.

Terence TaoAI and mathematics▶ Play07-27 · 11 min read
Free
Deep Dive
🎧№ 1087
DEEP DIVE
Source · Anthropic 官方博客⚑ Tutorial

The story behind Claude Design and 10 practical tips from its creator

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.

Claude DesignAI design tools▶ Play07-27 · 9 min read
Free
Deep Dive
🎧№ 1086
DEEP DIVE
Source · Dex Horthy(HumanLayer)⚑ Expert view

Harness Engineering isn't enough: Why the software factory model fails

Telemetry tracking 22,000 developers over two years shows a 66% increase in output alongside a 242.7% surge in production incidents per PR.

AI codingSoftware engineering▶ Play07-27 · 12 min read
Free
Research
№ 1085
RESEARCH
Source · Google Blog / AI & Economy ATLAS v1.0⚑ Research

Google combed through 14.65 million Gemini chats — 86% weren't about work

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.

GoogleAI and the Economy07-27 · 14 min read
Free
Deep Dive
🎧№ 1084
DEEP DIVE
Source · Anthropic 官方文档⚑ Tutorial

Anthropic's official guide to prompting Opus 5: subtract, don't add

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.

AnthropicClaude Opus 5▶ Play07-25 · 10 min read
Free
Practice
№ 1083
PRACTICE
Source · Claude 官方博客⚑ Tutorial

Anthropic shows how to turn manual code review into a skill that self-checks and self-fixes

Four internal skills work in sequence: catch bugs, clean up diffs, run the app, and double-check design specs when changes touch the UI.

Claude CodeSkills07-25 · 9 min read
Free
Practice
🎧№ 1081
PRACTICE
Source · Modem⚑ Tutorial

Renaming functions cuts token use by two-thirds across 14 models

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.

AI codingCode discoverability▶ Play07-25 · 12 min read
Free
Launch
№ 1080
LAUNCH
Source · Anthropic⚑ Product

Claude Opus 5 closes the gap with Fable 5 at half the price, but still trails on 5 of 12 benchmarks

The same price now buys roughly double the score, and this release'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.

Claude Opus 5Anthropic07-25 · 12 min read
Free
Practice
🎧№ 1078
PRACTICE
Source · Thariq / Anthropic⚑ Tutorial

Anthropic slashes Claude Code's system prompt by 80%: six new rules for writing context

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.

Claude CodeContext Engineering▶ Play07-25 · 10 min read
Free
Launch
№ 1077
LAUNCH
Source · Black Forest Labs⚑ Product

Black Forest Labs unveils FLUX 3, a single model for image, video, audio, and robotics

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.

FLUX 3Black Forest Labs07-25 · 9 min read
Free
Deep Dive
🎧№ 1076
DEEP DIVE
Source · Peter McCrory(X)⚑ Expert view

Why US unemployment hasn't risen even as AI races ahead, according to Anthropic's economics chief

His take: AI is amplifying workers rather than replacing them—killing tasks is not the same as killing jobs.

AI and jobsLabor economics▶ Play07-23 · 11 min read
Free
Launch
№ 1075
LAUNCH
Source · OpenAI⚑ Product

OpenAI launches Presence: managing enterprise AI Agents after go-live is now a product

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.

OpenAIPresence07-23 · 8 min read
Free
Deep Dive
🎧№ 1074
DEEP DIVE
Source · Y Combinator⚑ Expert view

YC names the startup ideas it's eager to fund right now

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.

Y CombinatorStartup Ideas▶ Play07-23 · 10 min read
Free
Deep Dive
🎧№ 1073
DEEP DIVE
Source · TechCrunch Equity⚑ Expert view

Anthropic investor Matt Murphy: revenue tops $47 billion, but the model isn't what wins

The investor who led a $500 million Series D says Anthropic's real moat isn't the model — it's the layer that makes it usable.

AnthropicAI investing▶ Play07-23 · 11 min read
Free
Research
№ 1071
RESEARCH
Source · Databricks⚑ Company PR

Databricks benchmarks AI coding agents on millions of lines of real code

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' own merged pull requests, so none of it is searchable online.

Coding agentsBenchmarks07-22 · 9 min read