MTS(@MTSlive):Anthropic redacted crucial evidence behind METR's findings on accelerating AI progress. Even METR Chief of Staff @parvmahajan0 admits the public shouldn't have to take their word for it: "In an ideal world, we would achieve transparency about evidence, which means we would be able to make a lot of raw evidence public, and then everyone in the public could come to their own conclusions using their own modeling and update their timelines accordingly." "The fact that we weren't able to do that means that the public has to trust METR more than is ideal." "I think that's one of the most important takeaways from this." @METR

2026.11.07 01:13

Anthropic redacted crucial evidence behind METR's findings on accelerating AI progress. Even METR Chief of Staff @parvmahajan0 admits the public shouldn't have to take their word for it: "In an ideal world, we would achieve transparency about evidence, which means we would be able to make a lot of raw evidence public, and then everyone in the public could come to their own conclusions using their own modeling and update their timelines accordingly." "The fact that we weren't able to do that means that the public has to trust METR more than is ideal." "I think that's one of the most important takeaways from this." @METR_Evals

METR@METR_Evals

2026.11.05 18:36

Since August, a team within METR has worked with internal Anthropic information to assess whether AI itself is accelerating AI development. We are now publishing a report summarizing the results of this risk assessment.

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