AI300
  1. Ben Burtenshaw / Hugging Face Researcher
    1381.
    the @huggingface supports agentic environments that you can use for rl or evals.›
    LLM score 85 · 4 months ago
  2. John Carmack
    1382.
    256 Tb/s data rates over 200 km distance have been demonstrated on single mode fiber optic, which works out to 32 GB of data in flight, “stored” in the fiber, with 32 TB/s bandwidth.›
    LLM score 92 · 4 months ago
  3. Cameron Wolfe / Researcher at Netflix
    1383.
    The Elon / Dwarkesh podcast was cool.›
    LLM score 82 · 4 months ago
  4. alphaXiv
    1384.
    New generative model paradigm: Drifting Models 1 step inference but at SoTA fidelity!›
    LLM score 92 · 4 months ago
  5. Jeff Dean / Chief Scientist at DeepMind
    1385.
    Gemini+Genie 3 are helping @Waymo simulate long tail scenarios to make driving safer.›
    LLM score 75 · 4 months ago
  6. Sharon Zhou / AMD VP of AI
    1386.
    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 · 4 months ago
  7. Yingru Li / xAI Researcher
    1387.
    We trained Dr. Kernel - a 14B model that matches or beats GPT-5 and Claude-4.5-Sonnet on KernelBench.›
    LLM score 92 · 4 months ago
  8. Ben Burtenshaw / Hugging Face Researcher
    1388.
    Eval scores in 2026 are broken.›
    LLM score 92 · 4 months ago
  9. Merve Noyan / Hugging Face ML Engineer
    1389.
    we released Community Evals to fix transparency in evals 🤝›
    LLM score 85 · 4 months ago
  10. Thomas Wolf / Hugging Face Cofounder
    1390.
    [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 · 4 months ago
  11. Cameron Wolfe / Researcher at Netflix
    1391.
    This is a really nice framing of efficiency constraints in RL training.›
    LLM score 92 · 4 months ago
  12. Ted Sanders / OpenAI Researcher
    1392.
    it's wild how much LLMs have transformed the profession of software engineering over the past year.›
    LLM score 85 · 4 months ago
  13. Kevin Murphy / DeepMind Research Scientist
    1393.
    I'm pleased to share our paper on learning temporally abstract world models and policies (options).›
    LLM score 95 · 4 months ago
  14. Sholto Douglas / Researcher at Anthropic
    1394.
    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 · 4 months ago
  15. Richard Song / DeepMind Research Scientist
    1395.
    “Am I disappointed when my students don’t go off and be mathematicians?›
    LLM score 85 · 4 months ago
  16. Sholto Douglas / Researcher at Anthropic
    1396.
    Long weekends are good for GDP because people discover how good the models are https://t.co/yucnlrRos4
    LLM score 85 · 4 months ago
  17. Sherwin Wu / OpenAI API, Head of Engineering
    1397.
    This article really resonated with me, especially in relation to GPT-5.3-Codex.›
    LLM score 85 · 4 months ago
  18. Geoffrey Hinton
    1398.
    This is a great report that provides a thoughtful, detailed and very well researched description of the risks of AI.›
    LLM score 92 · 4 months ago
  19. Andrew White / Edison Scientific Cofounder
    1399.
    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 · 4 months ago
  20. Andrew White / Edison Scientific Cofounder
    1400.
    Opus 4.6 is out today - which we've been using for a while.›
    LLM score 82 · 4 months ago
  21. Behnam Neyshabur / Anthropic Researcher
    1401.
    I've left Anthropic to start something new. 🧵 https://t.co/6VzY1T3ivN
    LLM score 75 · 4 months ago
  22. Andrew White / Edison Scientific Cofounder
    1402.
    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 · 4 months ago
  23. Clive Chan / OpenAI Hardware
    1403.
    hardware-software co-design, years in the making! https://t.co/y08aoW5tbR
    LLM score 92 · 4 months ago
  24. Chi Jin / OpenAI Researcher
    1404.
    Honored to have contributed to substantial token efficiency gains powering the GPT Codex release! https://t.co/HnefSO90oi
    LLM score 75 · 4 months ago
  25. Andrew Lampinen / Research Scientist at DeepMind
    1405.
    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 · 4 months ago
  26. Clive Chan / OpenAI Hardware
    1406.
    why does nobody use the same benchmarks 😭 only overlapping benchmark is TerminalBench 2.0 https://t.co/FmpdXgwQMF
    LLM score 85 · 4 months ago
  27. Emmanuel Ameisen / Anthropic Interpretability Researcher
    1407.
    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 · 4 months ago
  28. Aidan McLaughlin / OpenAI Research Scientist
    1408.
    we have an internal codex usage leaderboard and karel is like 10xing everyone else on our team›
    LLM score 85 · 4 months ago
  29. Noam Brown / OpenAI Research Scientist
    1409.
    GPT-5.3-Codex's much better token efficiency *AND* faster inference is the biggest story of this release.›
    LLM score 85 · 4 months ago
  30. Boris Cherny / Creator of Claude Code
    1410.
    Out now: Teams, aka. Agent Swarms in Claude Code Team are experimental, and use a lot of tokens.›
    LLM score 75 · 4 months ago
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