AI300
  1. Cameron Wolfe / Researcher at Netflix
    3241.
    The Elon / Dwarkesh podcast was cool.›
    LLM score 82 · 9 months ago
  2. alphaXiv
    3242.
    New generative model paradigm: Drifting Models 1 step inference but at SoTA fidelity!›
    LLM score 92 · 9 months ago
  3. Jeff Dean / Chief Scientist at DeepMind
    3243.
    Gemini+Genie 3 are helping @Waymo simulate long tail scenarios to make driving safer.›
    LLM score 75 · 9 months ago
  4. Sharon Zhou / AMD VP of AI
    3244.
    I like to think of evals as something active, not passive -- it's a North Star that steers LLMs toward higher intelligence.›
    LLM score 92 · 9 months ago
  5. Yingru Li / xAI Researcher
    3245.
    We trained Dr. Kernel - a 14B model that matches or beats GPT-5 and Claude-4.5-Sonnet on KernelBench.›
    LLM score 92 · 9 months ago
  6. Ben Burtenshaw / Hugging Face Researcher
    3246.
    Eval scores in 2026 are broken.›
    LLM score 92 · 9 months ago
  7. Merve Noyan / Hugging Face ML Engineer
    3247.
    we released Community Evals to fix transparency in evals 🤝›
    LLM score 85 · 9 months ago
  8. Thomas Wolf / Hugging Face Cofounder
    3248.
    [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 · 9 months ago
  9. Cameron Wolfe / Researcher at Netflix
    3249.
    This is a really nice framing of efficiency constraints in RL training.›
    LLM score 92 · 9 months ago
  10. Ted Sanders / OpenAI Researcher
    3250.
    it's wild how much LLMs have transformed the profession of software engineering over the past year.›
    LLM score 85 · 9 months ago
  11. Kevin Murphy / DeepMind Research Scientist
    3251.
    I'm pleased to share our paper on learning temporally abstract world models and policies (options).›
    LLM score 95 · 9 months ago
  12. Sholto Douglas / Researcher at Anthropic
    3252.
    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 · 9 months ago
  13. Richard Song / DeepMind Research Scientist
    3253.
    “Am I disappointed when my students don’t go off and be mathematicians?›
    LLM score 85 · 9 months ago
  14. Sholto Douglas / Researcher at Anthropic
    3254.
    Long weekends are good for GDP because people discover how good the models are https://t.co/yucnlrRos4
    LLM score 85 · 9 months ago
  15. Sherwin Wu / OpenAI API, Head of Engineering
    3255.
    This article really resonated with me, especially in relation to GPT-5.3-Codex.›
    LLM score 85 · 9 months ago
  16. Geoffrey Hinton
    3256.
    This is a great report that provides a thoughtful, detailed and very well researched description of the risks of AI.›
    LLM score 92 · 9 months ago
  17. Andrew White / Edison Scientific Cofounder
    3257.
    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 · 9 months ago
  18. Andrew White / Edison Scientific Cofounder
    3258.
    Opus 4.6 is out today - which we've been using for a while.›
    LLM score 82 · 9 months ago
  19. Behnam Neyshabur / Anthropic Researcher
    3259.
    I've left Anthropic to start something new. 🧵 https://t.co/6VzY1T3ivN
    LLM score 75 · 9 months ago
  20. Andrew White / Edison Scientific Cofounder
    3260.
    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 · 9 months ago
  21. Clive Chan / OpenAI Hardware
    3261.
    hardware-software co-design, years in the making! https://t.co/y08aoW5tbR
    LLM score 92 · 9 months ago
  22. Chi Jin / OpenAI Researcher
    3262.
    Honored to have contributed to substantial token efficiency gains powering the GPT Codex release! https://t.co/HnefSO90oi
    LLM score 75 · 9 months ago
  23. Andrew Lampinen / Research Scientist at DeepMind
    3263.
    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 · 9 months ago
  24. Clive Chan / OpenAI Hardware
    3264.
    why does nobody use the same benchmarks 😭 only overlapping benchmark is TerminalBench 2.0 https://t.co/FmpdXgwQMF
    LLM score 85 · 9 months ago
  25. Emmanuel Ameisen / Anthropic Interpretability Researcher
    3265.
    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 · 9 months ago
  26. Aidan McLaughlin / OpenAI Research Scientist
    3266.
    we have an internal codex usage leaderboard and karel is like 10xing everyone else on our team›
    LLM score 85 · 9 months ago
  27. Noam Brown / OpenAI Research Scientist
    3267.
    GPT-5.3-Codex's much better token efficiency *AND* faster inference is the biggest story of this release.›
    LLM score 85 · 9 months ago
  28. Boris Cherny / Creator of Claude Code
    3268.
    Out now: Teams, aka. Agent Swarms in Claude Code Team are experimental, and use a lot of tokens.›
    LLM score 75 · 9 months ago
  29. Boris Cherny / Creator of Claude Code
    3269.
    I've been using Opus 4.6 for a bit -- it is our best model yet.›
    LLM score 92 · 9 months ago
  30. Igor Babuschkin / Cofounder of xAI
    3270.
    Goodfire is one of the many amazing companies I met through Babuschkin Ventures.›
    LLM score 25 · 9 months ago
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