AI300
  1. Thomas Wolf / Hugging Face Cofounder
    721.
    [On AI lying] Convergence of reading in my list today between Anthropic's fresh Opus 4.6 model card and @dwarkesh_sp's interview of Elon on the question of training powerful AI model to/on lies:›
    LLM score 75 · about 2 months ago
  2. Cameron Wolfe / Researcher at Netflix
    722.
    This is a really nice framing of efficiency constraints in RL training.›
    LLM score 92 · about 2 months ago
  3. Ted Sanders / OpenAI Researcher
    723.
    it's wild how much LLMs have transformed the profession of software engineering over the past year.›
    LLM score 85 · about 2 months ago
  4. Kevin Murphy / DeepMind Research Scientist
    724.
    I'm pleased to share our paper on learning temporally abstract world models and policies (options).›
    LLM score 95 · about 2 months ago
  5. Sholto Douglas / Researcher at Anthropic
    725.
    Default case right now is a software only singularity, we need to scale robots and automated labs dramatically in 28/29, or the physical world will fall far behind the digital one - and the US won’t be competitive unless we put in the investment now (fab, solar panel, actuator›
    LLM score 92 · about 2 months ago
  6. Richard Song / DeepMind Research Scientist
    726.
    “Am I disappointed when my students don’t go off and be mathematicians?›
    LLM score 85 · about 2 months ago
  7. Sholto Douglas / Researcher at Anthropic
    727.
    Long weekends are good for GDP because people discover how good the models are https://t.co/yucnlrRos4
    LLM score 85 · about 2 months ago
  8. Sherwin Wu / OpenAI API, Head of Engineering
    728.
    This article really resonated with me, especially in relation to GPT-5.3-Codex.›
    LLM score 85 · about 2 months ago
  9. Geoffrey Hinton
    729.
    This is a great report that provides a thoughtful, detailed and very well researched description of the risks of AI.›
    LLM score 92 · about 2 months ago
  10. Andrew White / Edison Scientific Cofounder
    730.
    OpenAI Ginkgo collab is today, Opus 4.6 is today, 5.3-codex is today, METR 5.2-codex was last night, and we decided to do labbench2 today.›
    LLM score 92 · about 2 months ago
  11. Andrew White / Edison Scientific Cofounder
    731.
    Opus 4.6 is out today - which we've been using for a while.›
    LLM score 82 · about 2 months ago
  12. Behnam Neyshabur / Anthropic Researcher
    732.
    I've left Anthropic to start something new. 🧵 https://t.co/6VzY1T3ivN
    LLM score 75 · about 2 months ago
  13. Andrew White / Edison Scientific Cofounder
    733.
    We're launching a 1,900 question benchmark for measuring AI progress on scientific tasks: lab protocols, reading figures, tables, assessing clinical trials, patents, molecular cloning.›
    LLM score 92 · about 2 months ago
  14. Clive Chan / OpenAI Hardware
    734.
    hardware-software co-design, years in the making! https://t.co/y08aoW5tbR
    LLM score 92 · about 2 months ago
  15. Chi Jin / OpenAI Researcher
    735.
    Honored to have contributed to substantial token efficiency gains powering the GPT Codex release! https://t.co/HnefSO90oi
    LLM score 75 · about 2 months ago
  16. Andrew Lampinen / Research Scientist at DeepMind
    736.
    Nice to see ambitious perspectives on how interpretability can be useful for training better models as well as understanding them post hoc! https://t.co/kTGZyK7lbx
    LLM score 85 · about 2 months ago
  17. Clive Chan / OpenAI Hardware
    737.
    why does nobody use the same benchmarks 😭 only overlapping benchmark is TerminalBench 2.0 https://t.co/FmpdXgwQMF
    LLM score 85 · about 2 months ago
  18. Emmanuel Ameisen / Anthropic Interpretability Researcher
    738.
    We just shipped Claude Opus 4.6! I’m also excited to share that for the first time, we used circuit tracing as part of the model's safety audit!›
    LLM score 92 · about 2 months ago
  19. Aidan McLaughlin / OpenAI Research Scientist
    739.
    we have an internal codex usage leaderboard and karel is like 10xing everyone else on our team›
    LLM score 85 · about 2 months ago
  20. Noam Brown / OpenAI Research Scientist
    740.
    GPT-5.3-Codex's much better token efficiency *AND* faster inference is the biggest story of this release.›
    LLM score 85 · about 2 months ago
  21. Boris Cherny / Creator of Claude Code
    741.
    Out now: Teams, aka. Agent Swarms in Claude Code Team are experimental, and use a lot of tokens.›
    LLM score 75 · about 2 months ago
  22. Boris Cherny / Creator of Claude Code
    742.
    I've been using Opus 4.6 for a bit -- it is our best model yet.›
    LLM score 92 · about 2 months ago
  23. Igor Babuschkin / Cofounder of xAI
    743.
    Goodfire is one of the many amazing companies I met through Babuschkin Ventures.›
    LLM score 25 · about 2 months ago
  24. alphaXiv
    744.
    "Learning to Reason in 13 Parameters" This paper propose TinyLoRA, a type of LoRA that can scale to sizes as small as 1 parameter.›
    LLM score 92 · about 2 months ago
  25. Ben Burtenshaw / Hugging Face Researcher
    745.
    PSA: you define the leaderboards on the hub.›
    LLM score 92 · about 2 months ago
  26. Kevin Murphy / DeepMind Research Scientist
    746.
    I just read the first two of these and like them a lot.›
    LLM score 92 · about 2 months ago
  27. Kevin Murphy / DeepMind Research Scientist
    747.
    hot take: when reviewing research papers, we should take into account not just the content (elegant ideas, compelling results, etc), but also the brevity - a 1 page paper with "one weird trick" should get more points than one which rambles on for 8 pages with woo woo.›
    LLM score 92 · about 2 months ago
  28. Richard Song / DeepMind Research Scientist
    748.
    Vizier was my former team 🙂 - thanks for the shoutout! Its tuning was so efficient because its Gaussian Process regressor continually updates against lots of (x,y) evaluations to produce an estimate of the global objective landscape, rather than pure unguided evolution.›
    LLM score 92 · about 2 months ago
  29. Clive Chan / OpenAI Hardware
    749.
    5.2 is finally on METR! definitely have been feeling the agi when it does tasks in Codex that would have taken me many hours https://t.co/tGdrUH8IKE https://t.co/Qf3nyI3cbt
    LLM score 82 · about 2 months ago
  30. Noam Brown / OpenAI Research Scientist
    750.
    GPT-5.2 evals are finally out for METR and it's state-of-the-art.›
    LLM score 92 · about 2 months ago
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