Anthropic 发布三项衡量 AI 发展速度的指标，并给出内部快照。截至 2026 年 8 月，26% 的 AI 研发工作达到 Claude 可从高层指令端到端完成大部分任务、人类主要负责监督的程度；90% 以上被衡量的研发工作已有 AI 完成大量环节。
Inside Anthropic 26% of its AI R&D work has reached the point where Claude can do most of the task end-to-end from a high-level instruction.
A human mainly supervises.
- “As of Aug 2026, there were approximately 30,000 agents doing research and engineering work at Anthropic at any one time in our most-used internal platform.”
- More than 90% of measured Anthropic R&D already has AI doing substantial chunks of the work or more
“The share of work at or above “AI collaborates” is above 90%.”
- More than a billion agent decisions in one month is the scale here; the online monitor blocked roughly one in every 47,000.
“We analyzed over a billion decisions from our research & engineering agents over August 2026 and found that 0.002% of them (about 1 in 47,000) were blocked by this monitor.”
AI systems are getting more powerful, and they're increasingly being used to build the next version of themselves. We want to illuminate that progress for the public. Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated. We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them. As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows. This means better measuring the development of AI, publishing our findings, and giving society an opportunity to decide how to use this information. Read the full post and methodology: https://www.anthropic.com/institute/measuring-pace-of-ai-development在 X 查看被引用的帖子
来源：Rohan Paul · x.com