AI300
  1. Dan Fu / VP of Kernels at Together
    3631.
    It's pretty exciting to see this model on the platform - open-source models starting to match / outperform the SoTA frontier models! https://t.co/hNLE6ysZwO
    LLM score 20 · 12 months ago
  2. Noam Brown / OpenAI Research Scientist
    3632.
    There are few as qualified as @zicokolter to teach a modern AI course.›
    LLM score 20 · 12 months ago
  3. Aditya Ramesh / OpenAI VP of Worldsim
    3633.
    Labeling data is one of the highest leverage things someone in a position of leadership can do
    LLM score 85 · 12 months ago
  4. Andrej Karpathy / AI researcher
    3634.
    @alita2100 @ashleybcha @goakhmad He’s using it in situations where it fundamentally lets you create and do what you could not create before.›
    LLM score 70 · 12 months ago
  5. Andrej Karpathy / AI researcher
    3635.
    @Jess_Riedel @goakhmad Yeah I think granted, it’s why I call them prompts.›
    LLM score 30 · 12 months ago
  6. Andrej Karpathy / AI researcher
    3636.
    @ashleybcha @goakhmad I should add that 1 even lotr used plenty of CGI overall and just like AI now it is a powerful tool in the box.›
    LLM score 20 · 12 months ago
  7. Andrej Karpathy / AI researcher
    3637.
    @ashleybcha @goakhmad I think it’s right that you’re grouping CGI with (current-capability etc) AI because they are both fundamentally technologies that trades wins in time/cost against increase in slop.›
    LLM score 80 · 12 months ago
  8. Xiang Fu / Researcher at Periodic Labs
    3638.
    @khoomeik Checkout old PGM works if this is your thing›
    LLM score 20 · 12 months ago
  9. Xiang Fu / Researcher at Periodic Labs
    3639.
    Scaling laws are often presented as a story of data, model size, and compute.›
    LLM score 80 · 12 months ago
  10. Emmanuel Ameisen / Anthropic Interpretability Researcher
    3640.
    By decomposing weights using loss curvature, you can identify components used for memorization vs generalization.›
    LLM score 90 · 12 months ago
  11. Andrej Karpathy / AI researcher
    3641.
    @soumithchintala Great run Soumith! Of all the deep learning framework transitions I've been through where I re-wrote ~all of my code (matlab -> caffe -> numpy -> torch -> pytorch), the PyTorch one was most pleasant and now significantly longest lasting.›
    LLM score 60 · 12 months ago
  12. Niklas Muennighoff / AI Researcher at Stanford
    3642.
    New, extremely challenging visual reasoning benchmark "MIRA" where current models fail...great resource to research reasoning with imgs/video🌌 https://t.co/1ecwLKoOkv https://t.co/X56ckYBK6O
    LLM score 80 · 12 months ago
  13. Tri Dao / Chief Scientist at Together
    3643.
    Tons of effort from IBM and vLLM folks to make these hybrid models go fast.›
    LLM score 20 · 12 months ago
  14. Tri Dao / Chief Scientist at Together
    3644.
    Thank you @schmidtsciences for the 2025 #AI2050 Early Career Fellowship supporting my work on self-improving AI systems: as AI gets better, it should help human experts design better model architectures and faster training & inference systems https://t.co/1BqPcvg1R8
    LLM score 40 · 12 months ago
  15. Richard Song / DeepMind Research Scientist
    3645.
    Reliable performance is crucial for doing great math.›
    LLM score 85 · 12 months ago
  16. Noam Brown / OpenAI Research Scientist
    3646.
    @dtklp1 @hughbzhang Demonstrated expertise in an area I know well, or a recommendation from someone I trust, still carries a lot of weight.›
    LLM score 20 · 12 months ago
  17. Noam Brown / OpenAI Research Scientist
    3647.
    In 2019 @hughbzhang sent me a detailed personalized cold email asking to intern with me.›
    LLM score 20 · 12 months ago
  18. Noam Brown / OpenAI Research Scientist
    3648.
    @offchan420 Yes but the point is specifying the reward in a way that leads pure self play to optimal real-world behavior is virtually impossible.
    LLM score 80 · 12 months ago
  19. Naman Jain / Researcher at Cursor
    3649.
    We added LLM judge based hack detector to our code optimization evals and found models perform non-idiomatic code changes in upto 30% of the problems 🤯 https://t.co/CPwEQvRQJC
    LLM score 85 · 12 months ago
  20. Andrej Karpathy / AI researcher
    3650.
    @GoodFaithOnly @binarybits When I say AGI I mean a "feature complete" build of a remote worker with a lot of 9s (think: a bit like current Autopilot FSD, maybe plus a few more iterations).›
    LLM score 70 · 12 months ago
  21. Emmanuel Ameisen / Anthropic Interpretability Researcher
    3651.
    Neat use of attribution graphs to identify features in models which are responsible for jailbreak resistance and refusals.›
    LLM score 85 · 12 months ago
  22. Hang Gao / ex MTS at xAI
    3652.
    The value of eval lies in a distributional look at the model performance.›
    LLM score 92 · 12 months ago
  23. Victoria Lin / Thinking Machines Researcher
    3653.
    Very interesting read ☕ When poking different frontier models (e.g., GPT-5 vs Gemini), I’ve often noticed surprising similarity on non-STEM questions.›
    LLM score 85 · 12 months ago
  24. Xiang Fu / Researcher at Periodic Labs
    3654.
    Second @simonbatzner. FF architecture was no longer a bottleneck for AI materials discovery since nequip.›
    LLM score 80 · 12 months ago
  25. Noam Brown / OpenAI Research Scientist
    3655.
    @lineardiff @ericzelikman I don’t view that as incompatible.›
    LLM score 20 · 12 months ago
  26. Emmanuel Ameisen / Anthropic Interpretability Researcher
    3656.
    Striking result, which changed how I think about LLMs:›
    LLM score 85 · about 1 year ago
  27. Niklas Muennighoff / AI Researcher at Stanford
    3657.
    new paper "ATLAS" – for details: https://t.co/MJO9mvlS90; it also covers a new scaling law, pretrain vs finetune for multilingual & more :)›
    LLM score 70 · about 1 year ago
  28. Niklas Muennighoff / AI Researcher at Stanford
    3658.
    To scale data-constrained LLMs, repeating & denoising objectives can help.›
    LLM score 85 · about 1 year ago
  29. Tri Dao / Chief Scientist at Together
    3659.
    State space architecture for state of the art voice model! https://t.co/QjdOdrIFSM
    LLM score 80 · about 1 year ago
  30. Emmanuel Ameisen / Anthropic Interpretability Researcher
    3660.
    Cool paper using attribution graphs to automatically detect which reasoning steps contain mistakes!›
    LLM score 85 · about 1 year ago
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