Anthropic proposes public metrics for how much ai research is done by ai

On the same day as the nine-loop post, Anthropic's institute published a proposal for three measurements it says the public should be able to track inside frontier labs.

The three metrics

• the share of ai research and development done by ai itself
• how well agent actions are overseen: coverage, review latency and escalation rate
• how compute is allocated, including how much goes to safety work

As a snapshot, Anthropic said that in August 2026 roughly 30,000 agents were doing research and engineering work at any one time on its most-used internal platform. It also examined its own compute mix for a week in July, and says it plans to bring in independent third-party evaluators to check the numbers. It has encouraged other labs to publish similar figures.

Why it matters

Thirty thousand agents is not a lab tinkering; it is a workforce. Auditable numbers are rare in a debate about ai improving itself that is mostly rhetoric. This went out on the same day as a flashier announcement and got far less attention.