01THE FEEDBACK LOOPThe robot polishes its own résuméMETR sees acceleration, while much of the evidence stays behind the curtain.
METR's November 5 assessment estimates that Anthropic's progress on well-specified AI tasks accelerated roughly twofold relative to its earlier trend. The researchers spent eleven weeks examining internal work. They judge AI assistance the main contributor, while emphasizing substantial uncertainty.
This is evidence of people using AI to improve AI. It does not establish fully autonomous self-improvement or a precise doubling of every kind of research. Benchmarks cover limited tasks, and other changes may explain some of the gains.
There is also a visibility problem: Anthropic redacted most of the evidence METR considered most informative. Readers must rely heavily on the assessors' judgment. METR reports finding no clear bottleneck during its access, but acknowledges it may have missed important ones. The finding is consequential; its caveats are part of the finding. METR's assessment, November 5.



