为了让普通人能理解ai研究ai的自动化程度,
Anthropic 把 AI 自动化进行R&D 工作分成 AL0–AL5 六级:
AL0:不用 AI
AL1:极少 AI
AL2:AI assists
AL3:AI collaborates,人仍密切指导
AL4:AI leads——人给一个高层目标,AI 基本端到端完成,人负责监督/最终决定
AL5:AI 完全自主,连任务发现、执行、部署都不需要人
截至 2026 年 8 月:
Claude 已经“Lead”了 Anthropic 26% 的模型 R&D 工作;超过 90% 的工作达到 AL3“协作”或以上;AL5 仍然是 0。
最值得注意的是增长速度:
2026年3月:1%
4月:3%
5月:12%
6月:14%
7月:22%
8月:26%
也就是说,半年前几乎不存在的 AL4 工作,现在已经占到四分之一。
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:
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