AI300
  1. Dan Fu / VP of Kernels at Together
    61.
    Really fun working with the @cursor_ai team to help launch Composer 2.0 on GB200s and B200s!›
    LLM score 30 · 15 days ago
  2. Noam Brown / OpenAI Research Scientist
    62.
    METR hasn’t evaled GPT 5.2 yet but I bet it would do extremely well https://t.co/8xZ4fUoAr0
    LLM score 20 · 15 days ago
  3. Sholto Douglas / Researcher at Anthropic
    63.
    One day we’ll be able to decompose the loss curve of a neural net into all of the quanta it learns along the way - this is one of my fav streams of fundamental research.›
    LLM score 80 · 15 days ago
  4. Demis Hassabis / CEO of DeepMind
    64.
    For AI to be truly useful, it needs to understand you.›
    LLM score 40 · 15 days ago
  5. Andrej Karpathy / AI researcher
    65.
    @varunneal Worked great out of the box on nanochat too, beat standard weight decay in a solid sweep.
    LLM score 70 · 15 days ago
  6. Sholto Douglas / Researcher at Anthropic
    66.
    @terracotta_hawk It’s a mix of - a lot of the best people working on ai have math ability as the bar they feel most deeply about, so they work on making the models good at math (also some notion of, if we can crack things at the complexity level of IMO using a sufficiently general algo, the same
    LLM score 70 · 16 days ago
  7. Demis Hassabis / CEO of DeepMind
    67.
    We’ve made lots of improvements with Veo 3.1! It’s more expressive, supports portrait mode and SOTA video upscaling to 1080p and 4K.›
    LLM score 20 · 16 days ago
  8. Tim Dettmers / Research Scientist at Ai2
    68.
    @main_horse @pangramlabs Interesting! Not sure how good their tool is, but I guess it supports my point that AI-generated text can just be as good as human-written text.›
    LLM score 20 · 17 days ago
  9. Andrew Lampinen / Research Scientist at DeepMind
    69.
    See https://t.co/wvpcKIKk6u for in-depth discussion of three examples.›
    LLM score 75 · 17 days ago
  10. Tim Dettmers / Research Scientist at Ai2
    70.
    My newest blog post is about my experience of using coding agents in the past 8 months to automate my own work as much as possible.›
    LLM score 70 · 17 days ago
  11. Michael Elabd / DeepMind Researcher
    71.
    🚀 New paper drop on the path to continual learning: Entropy-Adaptive Fine-Tuning (EAFT)›
    LLM score 80 · 17 days ago
  12. Sholto Douglas / Researcher at Anthropic
    72.
    Claude code for all other knowledge work.›
    LLM score 60 · 17 days ago
  13. Andrej Karpathy / AI researcher
    73.
    @patrickc This repo shows a way that works well for me:›
    LLM score 60 · 19 days ago
  14. Keller Jordan / OpenAI Researcher
    74.
    @yonashav By “interesting,” I mean that, e.g., if we ask “was it a good idea for humanity to do science?”, then it doesn’t make sense to judge based on only the last few hundred (dynamic-exponential) years, since >99.99% of future-history will be in some other static post-exponential state
    LLM score 70 · 19 days ago
  15. Keller Jordan / OpenAI Researcher
    75.
    @yonashav This fact makes the present seem less interesting.›
    LLM score 20 · 19 days ago
  16. Noam Brown / OpenAI Research Scientist
    76.
    @MikCampanelli @mobiuspoker Making a poker solver is out of distribution, not poker itself.›
    LLM score 75 · 21 days ago
  17. Igor Babuschkin / Cofounder of xAI
    77.
    @DavidSHolz Most APIs implement speculative decoding where a small model or a simple heuristic is used to predict a few tokens at a time.›
    LLM score 80 · 21 days ago
  18. Noam Brown / OpenAI Research Scientist
    78.
    @giffmana It could be a combo of traditional spam/phishing detection and LLM detection
    LLM score 30 · 22 days ago
  19. Igor Babuschkin / Cofounder of xAI
    79.
    @jadenitripp That’s where continual learning comes in.›
    LLM score 30 · 22 days ago
  20. Noam Brown / OpenAI Research Scientist
    80.
    A family friend recently lost $1,000 to a phishing email.›
    LLM score 30 · 22 days ago
  21. Igor Babuschkin / Cofounder of xAI
    81.
    I suspect the reason Claude Code doesn’t work as well for large codebases is that they post-trained it mostly on smaller repos (big corp sized repos are rare).›
    LLM score 80 · 22 days ago
  22. Sholto Douglas / Researcher at Anthropic
    82.
    @deredleritt3r I still think it requires massive effort to not end up in that world - e.g.›
    LLM score 10 · 22 days ago
  23. Andrej Karpathy / AI researcher
    83.
    New post: nanochat miniseries v1 The correct way to think about LLMs is that you are not optimizing for a single specific model but for a family models controlled by a single dial (the compute you wish to spend) to achieve monotonically better results.›
    LLM score 80 · 22 days ago
  24. Noam Brown / OpenAI Research Scientist
    84.
    Got this DM: I appreciate that you posted this - increasingly my twitter feed feels out of whack, especially with people claiming Claude Code makes them 1000000x more efficient.›
    LLM score 30 · 23 days ago
  25. Andrej Karpathy / AI researcher
    85.
    @thecsguy Slope of slope
    LLM score 70 · 23 days ago
  26. Jonas Geiping / AI Researcher in Tübingen
    86.
    @ziv_ravid Yeah I think forecasting is one of the few domains where we can really evaluate reasoning under uncertainty, and this may be a bit of contrarian take, I do think Bayesian reasoning is a key capability that is not learnt from yet another code/math RL environment
    LLM score 80 · 24 days ago
  27. Jonas Geiping / AI Researcher in Tübingen
    87.
    We just published a new open-source model that we trained with RL to be capable of open-ended forecasting!›
    LLM score 20 · 24 days ago
  28. Andrej Karpathy / AI researcher
    88.
    @ChrisPainterYup All of the following are true: I came out sounding too critical in that moment on the pod and accidentally created a misrepresenting sound bite, I was positively surprised by Opus 4.5 over the break, and my overall change of mind overall is less dramatic than naively implied.
    LLM score 20 · 24 days ago
  29. Noam Brown / OpenAI Research Scientist
    89.
    @zachcpa I'd give the win to Codex due to the way better optimizations.›
    LLM score 20 · 24 days ago
  30. Noam Brown / OpenAI Research Scientist
    90.
    @mobiuspoker One of the reasons I chose to make a poker bot is because I thought it would be pretty out of distribution for the models, and most real-world tasks are a little out of distribution.›
    LLM score 70 · 24 days ago
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