AI300
  1. Omar Khattab / MIT CSAIL Asst professor
    691.
    Aren't RLMs bad for the prefix cache? Totally! But keep in mind:›
    LLM score 92 · about 2 months ago
  2. Vahid Kazemi / ex MTS at xAI
    692.
    The best way I've found to use LLMs for coding is through a layered design with strict one-way dependency.›
    LLM score 92 · about 2 months ago
  3. Alex Zhang / MIT CSAIL PhD
    693.
    Maybe I can provide some intuition, but lmk if it’s unclear — I am trying to refine how I explain this anyways!›
    LLM score 92 · about 2 months ago
  4. Clive Chan / OpenAI Hardware
    694.
    In a future world with some kind of superintelligence, it’s interesting to think about having an arbiter that is - measurably - less biased than a human.›
    LLM score 82 · about 2 months ago
  5. Christian Szegedy / ex xAI Cofounder
    695.
    A year ago everybody just laughed at AI being ridiculously useless for mathematical research.›
    LLM score 92 · about 2 months ago
  6. Alex Zhang / MIT CSAIL PhD
    696.
    while procrastinating on research I decided it's finally time to add RLMs to pypi!›
    LLM score 82 · about 2 months ago
  7. Igor Babuschkin / Cofounder of xAI
    697.
    People joke about buying Mac minis for OpenClaw and it seems absurd at first if you know how to use cloud VMs.›
    LLM score 75 · about 2 months ago
  8. Shayan Salehian / ex MTS at xAI
    698.
    Career update: I left xAI to start something new, closing my 7+ year chapter working at Twitter, X, and xAI with so much gratitude.›
    LLM score 25 · about 2 months ago
  9. Noam Brown / OpenAI Research Scientist
    699.
    When GPT-5 was released, some folks claimed AI progress was hitting a wall, whereas others said progress would continue.›
    LLM score 92 · about 2 months ago
  10. alphaXiv
    700.
    "First Proof" A team of researchers proposes a way to test if AI can actually do NEW math by releasing 10 freshly-solved and never public research questions, with answers temporarily encrypted.›
    LLM score 92 · about 2 months ago
  11. Boris Cherny / Creator of Claude Code
    701.
    We just launched an experimental new fast mode for Opus 4.6.›
    LLM score 85 · about 2 months ago
  12. Jerry Tworek / ex OpenAI VP of RL
    702.
    Run fewer experiments and think about them more
    LLM score 85 · about 2 months ago
  13. Cameron Wolfe / Researcher at Netflix
    703.
    Still can't believe Olmo 3 found out you can do in-flight weight updates during RL without even clearing the KV cache and it still works.›
    LLM score 92 · about 2 months ago
  14. alphaXiv
    704.
    "Maximum Likelihood Reinforcement Learning" Turns out we've been using RL wrongly the whole time, and missed out on 20x efficiency?›
    LLM score 92 · about 2 months ago
  15. Yifei Zhou / Thinking Machines Researcher
    705.
    Always a big fan of works coming out of Andrea’s lab! Love the mathematical insight from the comparison of rl and maximum likelihood loss https://t.co/ZhaYCGyNwF
    LLM score 12 · about 2 months ago
  16. Omar Khattab / MIT CSAIL Asst professor
    706.
    wait that’s such a smart product move from OpenRouter›
    LLM score 68 · about 2 months ago
  17. Igor Babuschkin / Cofounder of xAI
    707.
    I’ve tested the latest generation of all the major AIs on theoretical physics research and Claude 4.6 has absolutely blown me away with how capable it is in physics.›
    LLM score 92 · about 2 months ago
  18. Omar Khattab / MIT CSAIL Asst professor
    708.
    Since there's now 5+ papers that propose on-policy context distillation, I feel comfortable confessing that we (@NoahZiems), too, were working on that haha.*›
    LLM score 92 · about 2 months ago
  19. Cyris Kissane / Researcher at Flapping Airplanes
    709.
    Cool new paper: Drifting Models. https://t.co/ALvy7dmbWC›
    LLM score 75 · about 2 months ago
  20. Cyris Kissane / Researcher at Flapping Airplanes
    710.
    https://t.co/zcejLXVsTf cool new secure python interpreter for AI use.›
    LLM score 75 · about 2 months ago
  21. Ben Burtenshaw / Hugging Face Researcher
    711.
    the @huggingface supports agentic environments that you can use for rl or evals.›
    LLM score 85 · about 2 months ago
  22. John Carmack
    712.
    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 · about 2 months ago
  23. Cameron Wolfe / Researcher at Netflix
    713.
    The Elon / Dwarkesh podcast was cool.›
    LLM score 82 · about 2 months ago
  24. alphaXiv
    714.
    New generative model paradigm: Drifting Models 1 step inference but at SoTA fidelity!›
    LLM score 92 · about 2 months ago
  25. Jeff Dean / Chief Scientist at DeepMind
    715.
    Gemini+Genie 3 are helping @Waymo simulate long tail scenarios to make driving safer.›
    LLM score 75 · about 2 months ago
  26. Sharon Zhou / AMD VP of AI
    716.
    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 · about 2 months ago
  27. Yingru Li / xAI Researcher
    717.
    We trained Dr. Kernel - a 14B model that matches or beats GPT-5 and Claude-4.5-Sonnet on KernelBench.›
    LLM score 92 · about 2 months ago
  28. Ben Burtenshaw / Hugging Face Researcher
    718.
    Eval scores in 2026 are broken.›
    LLM score 92 · about 2 months ago
  29. Merve Noyan / Hugging Face ML Engineer
    719.
    we released Community Evals to fix transparency in evals 🤝›
    LLM score 85 · about 2 months ago
  30. Thomas Wolf / Hugging Face Cofounder
    720.
    [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
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