Weekly review

Weekly review · Sep 14 – Sep 20

Signals published Sep 14 – Sep 20 (Monday to Sunday), by priority. Derived entirely from published signals: no editor's text, no AI.

Signal titles are in English where the source is; the editors' weekly summary is written in Chinese.

Signals this week3
Immediate attention1
Worth tracking2
Topics covered6

Immediate attention

1 signal

This week's signals marked critical, or important and published within the last 30 days.

2026-09-17· InfoQ 中文Immediate attention

Anthropic 公布内部测量:Claude 主导 26% 的研发,裁判也是 Claude

OpenAI 公开研发提速数据两周后,第二家实验室跟上:Anthropic 发布三组内部测量,并对每一组写明任何开发者今天就能怎样发布同样的数字。截至 8 月,Claude「主导」了约 26% 的 AI 研发工作(2 月不到 1%),90% 以上达到「协作」及以上,没有任何一类完全自主;约 3 万个内部智能体的动作 100% 在执行前经过监控,10 亿多次决策中约 47,000 次拦下 1 次;研发算力约 6% 用于安全。它自己点出最大的弱点:给自动化等级打分的裁判也是 Claude,模型与人一致率 59%,而人与人之间只有 35%。

Worth tracking

2 signals

This week's changes worth keeping an eye on while they are confirmed.

2026-09-16· GitHub Blog AIWorth tracking

Migrating the GitHub Copilot runtime to Rust, using Copilot

GitHub rewrote the Copilot agent runtime from TypeScript into more than 800,000 lines of production Rust, mostly written by agents across 128 incremental pull requests.

2026-09-15· Hugging Face BlogWorth tracking

Your Agent Aced the Task. Will It Do It Again?

IBM Research measures the consistency gap between Mean@k and Pass^k for LLM agents and halves it with guidelines distilled from flip-prone decision points.

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