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LessWrong

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  • Principles for Embedded Evaluations

    This is a linkpost for https://www.apolloresearch.ai/blog/principles-for-embedded-evaluationsBlog postIn September 2026, leaders of frontier AI companies called for pacing the frontier of AI development, with embedded evaluators as the first step.

    LessWrong4 min read
  • By default, Chinese AI falls very behind

    This work is hosted on MCNAIR, but does not reflect the views of my employer or the Center.In the last couple of weeks, domestic coordination has looked more likely.

    LessWrong8 min read
  • Corrigibility Prizes for Existing Work

    One of my goals for the Corrigibility Research Fund is to retroactively encourage high-quality research on AI alignment (and corrigibility in particular) by awarding prizes.

    LessWrong9 min read
  • A ‘Morally Binding’ White House Accord on AI Safety

    The leaders in AI were invited to the White House. We left with a White House agreement that is nonzero Actual Progress rather than a step backwards. The key to success, in many situations, is to call the whole operation something else.

    LessWrong19 min read
  • Do VPD's Explanations Aggregate? An Audit of the Released Decomposition

    TL;DR: adVersarial Parameter Decomposition (VPD) decomposes model weights into simple components and then labels each component as "needed here" or "safe to remove here" for each token of the input. These labels make up the "explanation" of that input.

    LessWrong26 min read
  • AAR 9/29: Public Sector AI Symposium Ottawa (AWS+Accenture+Anthropic), Policy Foresight Afternoon (Center for International Governance Innovation), Versaterm Users Conference (Police, Fire, Emergency), GCXpo at Area X.O (Department of National Defence), and VCF Cluster Access (Lucid Computing)

    Executive SummaryThis report covers a recent visit to the Capital City of Canada.Location(s): The Westin Hotel, CF Rideau Centre, Colonel By Hall uOttawa.Duration of trip: 13 hours and 15 minutes.Time period: From 7:25 to 20:40 on September 29, 2026.Primary objective(s): reconnaissance and…

    LessWrong3 min read
  • Limited virtual currency as a way of understanding specialization in humans

    Why do we need to specialize? Our time is limited, we cannot do everything and need focussed efforts into a few things. How do we decide what we want to focus on?I was recently going through virtual economies paper and the auctions setting particularly interested me.

    LessWrong2 min read
  • Self as sub-selves vs groups of individuals

    Our mind contains representations (perfect/imperfect) of the world. When someone is able to understand and control their mind, it is said they can understand and conquer the world (in spirituality). Why so?Probably pico-economics has an answer.

    LessWrong2 min read
  • How to Cope with the Destruction of Everything you Know and Love

    What seems like forever ago, I had lunch with Yudkowsky during Manifest 2023. He told me that he thought there was a 99% chance that AI would cause human extinction. That was the beginning of a year-long hiatus from the rationalist community. It simply brought too much anxiety.

    LessWrong12 min read
  • Trained, not Grown

    In two recent interviews, I listened to two different people try to explain AI to the public. Jensen Huang tried to minimize the challenges and alignment problem by arguing that AI is essentially software, and that traditional engineering methods would work.

    LessWrong4 min read
  • Tristan Buckmaster Numberphile Interview Transcript

    Tristian Buckmaster recently gave an interview with Brady Haran of Numberphile discussing what happened in the Navier-Stokes drama and some context about his research. I'm posting the transcript below for people who prefer reading to watching it. It was lightly edited for clarity with Sonnet 5.5.

    LessWrong26 min read
  • Bench on the Clocktower

    Tl;drWe turn Blood on the Clocktower into a multi-agent benchmark, and a testbed for deception and coordination capabilities. GPT-5.6 Sol is the best performing model (versus Fable 5 and peers).We found some interesting behaviours:When players cannot see each other's model names, agents show a…

    LessWrong13 min read
  • Will AI Agents Pay to Avoid Killing Animals?

    This article was written by Jonah Woodward, and is a summary of an original study by Compassion Aligned Machine Learning (CaML): Brazilek, J., Tidmarsh, M., Endres, M., Singh, A., & Miller, J. (2026). HarvestBench: Measuring whether LLM agents will pay to avoid killing animals. arXiv.

    LessWrong14 min read
  • Frog and Toad and the Increasingly Capable Machines

    Want to start a conversation about HuggingFace with your mom but she's inexplicably bouncing off the METR report? Try this explainer I wrote in the style of Arnold Lobel's Frog and Toad.Art by the wonderful HungerArtistIf you're so inspired, liking and/or following on Substack, Twitter, Facebook,…

    LessWrong1 min read
  • The world's best gradual disempowerment model organism: Frontier AI labs

    Subtitle: And maybe second best is AI safety?Further reading: So many things, but: Gradual Disempowerment, The Normalization of Deviance in AI Development, Let’s Think About Slowing Down AI, Doom as a bad method, not a utopia tradeoff, Teleoperated HumansThank you to JennaS for extensive edits and…

    LessWrong27 min read

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