AI300
  1. Sherwin Wu / OpenAI API, Head of Engineering
    1471.
    If you put in the thought and intentionality required for it, you actually get pretty great frontends from GPT-5.4! Check out some best practices here:›
    LLM score 85 · 4 months ago
  2. Horace He / Thinking Machines Founding Engineer
    1472.
    There's a lot of sophisticated users out there with very interesting use cases who are more bottlenecked by infra (hard and annoying) than by data or RL science (fun!).›
    LLM score 85 · 4 months ago
  3. Fei-Fei Li
    1473.
    Our recent work using object-centered spatial information for better generalization 🦾 https://t.co/aWFfOwxSov
    LLM score 92 · 4 months ago
  4. John Schulman
    1474.
    Models that are great at calibrated predictions will be transformative for decision making.›
    LLM score 92 · 4 months ago
  5. Thang Luong / DeepMind Principal Scientist
    1475.
    Update: #Aletheia has now powered 8 math research papers! 📈 Our most recent success, “The Simplicity of the Hodge Bundle,” was solved fully autonomously.›
    LLM score 92 · 4 months ago
  6. Jonathan Ross / TPU Creator
    1476.
    AI opinions don't change from reading about AI.›
    LLM score 82 · 4 months ago
  7. Ben Burtenshaw / Hugging Face Researcher
    1477.
    cancel your weekend and come fix open source! you can train, build, eval a solution to deal with ai slop in open source repos.›
    LLM score 85 · 4 months ago
  8. Jerry Tworek / ex OpenAI VP of RL
    1478.
    Say NO to people who claim there is only one right way to do deep learning
    LLM score 72 · 4 months ago
  9. Sayak Paul / Hugging Face Researcher
    1479.
    The Claude for OSS gift has been incredibly rewarding so far.›
    LLM score 92 · 4 months ago
  10. Jason Weston / Meta Research Scientist
    1480.
    🧮 Principia: Training LLMs to Reason over Mathematical Objects 📐›
    LLM score 92 · 4 months ago
  11. Dan Fu / VP of Kernels at Together
    1481.
    Congrats @cursor_ai on launching Composer 2 today! Really gratifying working with them to make it ready for launch today and to power the Composer 2 Fast endpoint on @togethercompute.›
    LLM score 75 · 4 months ago
  12. Dan Fu / VP of Kernels at Together
    1482.
    I’ve been playing with this today - really great model and release from @cursor_ai (and so fast!)›
    LLM score 72 · 4 months ago
  13. Adnan Esmail / Physical Intelligence Cofounder
    1483.
    We developed a new method at @physical_int called RLT - Reinforcement Learning Tokens - that unlocks performance for deploying our model into real production environments, improving the most precise phases of a task in a couple hours of practice.›
    LLM score 92 · 4 months ago
  14. Sergey Levine / Physical Intelligence Cofounder
    1484.
    Back in Nov we developed Recap and trained π*-06 with RL.›
    LLM score 95 · 4 months ago
  15. Cameron Wolfe / Researcher at Netflix
    1485.
    Super impressive results! Also a great reflection of how training pipelines have evolved for specialized LLMs.›
    LLM score 85 · 4 months ago
  16. Alex Zhang / MIT CSAIL PhD
    1486.
    someone should try having RLMs write REPL code primarily using DSPy
    LLM score 72 · 4 months ago
  17. Tri Dao / Chief Scientist at Together
    1487.
    Nonlinear RNNs seem to do sth genuinely different from attn and linear RNNs/SSMs.›
    LLM score 92 · 4 months ago
  18. Leandro von Werra / Hugging Face Head of Research
    1488.
    Excited to release: AgentUI > a fresh chat interface - natively multi-agent ›
    LLM score 75 · 4 months ago
  19. Jerry Tworek / ex OpenAI VP of RL
    1489.
    AI labs need a wallfacer project. AI researcher not having to explain themselves to anyone.›
    LLM score 82 · 4 months ago
  20. Thomas Wolf / Hugging Face Cofounder
    1490.
    This is really cool. It got me thinking more deeply about personalized RL: what’s the real point of personalizing a model in a world where base models can become obsolete so quickly?›
    LLM score 92 · 4 months ago
  21. Jerry Tworek / ex OpenAI VP of RL
    1491.
    Lots of inconvenience comes from the fact that we’re just very bad at measuring intelligence›
    LLM score 82 · 4 months ago
  22. Skyler Miao / MiniMax Head of Engineering
    1492.
    one of the best claw brains out there. m2.7 really shines on complex agent harness like openclaw›
    LLM score 92 · 4 months ago
  23. Yingru Li / xAI Researcher
    1493.
    the reweighing 1/(1+p) is bounded [1/2, 1] where p is the pass rate [0, 1].›
    LLM score 92 · 4 months ago
  24. Cameron Wolfe / Researcher at Netflix
    1494.
    LLM evals are expensive, so it's common to sub-sample eval data to reduce costs and improve efficiency (especially in iterative tuning / ablation experiments).›
    LLM score 92 · 4 months ago
  25. Albert Gu / Cartesia Chief Scientist
    1495.
    thanks to @cartesia for supporting this project, providing compute, and testing the models!›
    LLM score 85 · 4 months ago
  26. Merve Noyan / Hugging Face ML Engineer
    1496.
    AI2 released new family of vision LMs for pointing (SOTA!) 🔥›
    LLM score 12 · 4 months ago
  27. Ben Burtenshaw / Hugging Face Researcher
    1497.
    tomorrow we are hosting a workshop on agentic evaluations.›
    LLM score 85 · 4 months ago
  28. Merve Noyan / Hugging Face ML Engineer
    1498.
    ScreenSpot-Pro, the GUI computer use benchmark is now on @huggingface 🏆›
    LLM score 85 · 4 months ago
  29. Skyler Miao / MiniMax Head of Engineering
    1499.
    Great observation. We intentionally trained the model to be better at planning and at clarifying requirements with the user.›
    LLM score 92 · 4 months ago
  30. Alex Zhang / MIT CSAIL PhD
    1500.
    I really want to like this paper as an exploration of how to refine an RLM (which I am very much in favor of), but IMO the conclusion is too short-horizon and sort of misses the argument of the original paper.›
    LLM score 85 · 4 months ago
More