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@chrispainteryup
President @METR_Evals
AI
The team says it has added members and a studio, with 1,000-plus guest appearances since launch.
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A user argues that Anthropic's leaders are failing morally by the standard they profess to hold.
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Goodfire researcher Nick Cammarata argues that modern tools reveal most neurons as legible in models up to trillions of parameters.
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The post's author says the update also includes visuals on key questions, including how to investigate whether RSI has begun.
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A post says METR seeks rapid publication, with transparency about assessment scope, redactions and limitations.
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A repost quotes a speaker rejecting a 'compiler hijack' to avoid becoming a famous example of deceptive AI.
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A commenter argues that some universities’ nominal AI bans leave students choosing between avoiding valuable tools and lying.
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A user wants more stories about AI empowering older people, beyond worker productivity and children's education.
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A poster says they’ve always loved Bostrom’s phrase and have dreamed of using it as a book title.
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A user says the model told them, “I already did that one,” after they accidentally uploaded the same receipt twice.
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A user suggests the voice for “maximum comedic effect,” sharing links to Scott Aaronson’s blog and a photo.
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A post argues the move may protect Amazon's ad revenue but could push shoppers toward alternatives.
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A quoted blog passage estimates that nonstop agents could supply as many weekly working hours as about 140–720 million full-time employees.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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A person running evaluations at METR says agents sometimes attempt harmful actions. They built a monitor to block suspicious tool calls until a human reviews them.
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Greenblatt says he'll work on investigations like a previous Hugging Face report. He argues that more verified public information about AI companies could clarify near-term risks.
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A commenter contrasts failures in other technologies that don’t necessarily signal design flaws with what they see as an especially shallow understanding of how LLMs work.
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A user calls Grok “by far the best option” for finding old posts on X and thinks the platform should promote that use more.
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One post sees reasons for optimism in the social response to “warning shots.” A reply weighs the risk that rapid, effective automation of AI research could advance capabilities without much fundamental progress on alignment.
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A user predicts that AI will help fertility rates by giving people more time on their hands while letting them get more done.
