Evidence brief
@DataChaz reposted @Marie_Haynes’s view; the original post said the outrage over Anthropic watermarking Claude outputs is absurd, and said Google has been doing the same thing all along.
@DataChaz reposted @Marie_Haynes’s view; the original post said the outrage over Anthropic watermarking Claude outputs is absurd, and said Google has been doing the same thing all along.
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@dongxi_nlp acknowledged MATS’s contributions to AI safety, but argued that some research portrays Chinese open-weight models as “evil,” and suggested using the same tests across model families, independent annotation, and more diverse evaluation.
Original sourceAnthropic research says 45 coordinated agents found 266 vulnerabilities across 27 million tokens, while the independent parallel method found 21 vulnerabilities across 6.5 million tokens.
Original sourceThe poster said that in the three.js benchmark launched by @aimlapi for the TERAFAB megafactory, both Grok and Claude Opus 5 completed the code on their first try; the listed costs were $2.06 for Opus and $0.38 for Grok.
Original sourceAnthropic and independent researcher David Roodman released a report assessing how effective Anthropic retraining programs are in responding to AI labor-market shocks, based on 56 U.S. randomized studies and experimental evidence from Europe.
Original sourceGoogle Research proposed a knowledge profile framework, saying frontier LLM factual encoding is nearing saturation but recall remains insufficient; the framework divides facts into five profile types and introduces the WikiProfile benchmark with 2,150 Wikipedia facts.
Original source