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METR audit suggests Anthropic may have crossed its own AI acceleration warning threshold in July

Nonprofit METR audited Anthropic's internal research data over eleven weeks and found that the pace of model development has roughly doubled, with about 80 percent of the speedup driven by AI-assisted research. Anthropic redacted the most informative evidence, so the public must rely heavily on METR's judgment. The findings suggest Anthropic may have crossed its own AI acceleration warning threshold back in July, though some internal voices remain skeptical.

AI Brief

This is a concrete, recent audit finding with implications for AI safety and governance, offering readers insight into how AI-assisted research is accelerating model development.

Nonprofit METR spent eleven weeks auditing Anthropic's internal research data and concluded that the pace of model development has roughly doubled, with about 80 percent of the speedup driven by AI-assisted research. Anthropic redacted the most informative evidence, though, which means the public has to rely on METR's judgment "much more than would be ideal." There are also skeptical voices inside the company.

The article METR finds Anthropic may have crossed its own AI acceleration warning threshold back in July appeared first on The Decoder.

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