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Outside group says Anthropic AI progress has roughly doubled
The Associated Press reported Nov. 5 that nonprofit METR, given internal access at Anthropic, estimated the lab's model progress on well-specified tasks is about twice as fast as a year earlier.
Based on reporting by Local 10
Wire reporting: (AP, via Local 10)
Nonprofit Model Evaluation and Threat Research said Thursday that Anthropic's progress on well-specified model tasks appears about twice as fast as a year earlier, the Associated Press reported, after Anthropic invited METR to review internal data and speak with staff1.
AP said the review covered about 11 weeks from mid-August through late October, that METR described the access as unusually deep, and that company redactions plus disagreement inside METR limited how precise public estimates could be1.
METR attributed much of the speedup to AI aiding AI work rather than a jump in training compute, AP said, while warning the finding may apply mainly to automatically scored tasks and that Anthropic researchers described early signs of more autonomous help in training that is not yet fully independent1.
The assessment overlapped a Sept. 12 essay in which Anthropic chief executive Dario Amodei urged the industry to slow capability gains so safety work could catch up, AP said; the wire said Anthropic had not commented when the story moved, and that the San Francisco company is preparing a public listing later this month1.
