Evidence brief
@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.
@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.
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@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.
Original sourceAIHOT said DeepSeek V4 Pro official release and Grok 4.6 were released within two hours of each other, with parameter sizes of 1.6T and 1.5T respectively, and were described as approaching the Claude Fable 5 experience.
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 source