AI300
  1. Andrew Lampinen / Research Scientist at DeepMind
    931.
    See https://t.co/wvpcKIKk6u for in-depth discussion of three examples.›
    LLM score 75 · 3 months ago
  2. Tim Dettmers / Research Scientist at Ai2
    932.
    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 · 3 months ago
  3. Michael Elabd / DeepMind Researcher
    933.
    🚀 New paper drop on the path to continual learning: Entropy-Adaptive Fine-Tuning (EAFT)›
    LLM score 80 · 3 months ago
  4. Sholto Douglas / Researcher at Anthropic
    934.
    Claude code for all other knowledge work.›
    LLM score 60 · 3 months ago
  5. Kevin Murphy / DeepMind Research Scientist
    935.
    Temporal abstraction is a key missing ingredient for long-term RL (to avoid the curse of the one-step model, as @RichardSSutton likes to say).›
    LLM score 85 · 3 months ago
  6. Andrej Karpathy / AI researcher
    936.
    @patrickc This repo shows a way that works well for me:›
    LLM score 60 · 3 months ago
  7. Keller Jordan / OpenAI Researcher
    937.
    @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 · 3 months ago
  8. Keller Jordan / OpenAI Researcher
    938.
    @yonashav This fact makes the present seem less interesting.›
    LLM score 20 · 3 months ago
  9. Emmanuel Ameisen / Anthropic Interpretability Researcher
    939.
    We actually understand very few mechanisms inside LLMs, so the ones we do are a treat to explore.›
    LLM score 85 · 3 months ago
  10. Karol Hausman / Physical Intelligence Cofounder
    940.
    Thanks - this was fun Tobi brings a very grounded perspective on how learning from experience translates to long-horizon robot performance in the real world.›
    LLM score 65 · 3 months ago
  11. Noam Brown / OpenAI Research Scientist
    941.
    @MikCampanelli @mobiuspoker Making a poker solver is out of distribution, not poker itself.›
    LLM score 75 · 3 months ago
  12. Igor Babuschkin / Cofounder of xAI
    942.
    @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 · 3 months ago
  13. Noam Brown / OpenAI Research Scientist
    943.
    @giffmana It could be a combo of traditional spam/phishing detection and LLM detection
    LLM score 30 · 3 months ago
  14. Igor Babuschkin / Cofounder of xAI
    944.
    @jadenitripp That’s where continual learning comes in.›
    LLM score 30 · 3 months ago
  15. Noam Brown / OpenAI Research Scientist
    945.
    A family friend recently lost $1,000 to a phishing email.›
    LLM score 30 · 3 months ago
  16. Igor Babuschkin / Cofounder of xAI
    946.
    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 · 3 months ago
  17. Sholto Douglas / Researcher at Anthropic
    947.
    @deredleritt3r I still think it requires massive effort to not end up in that world - e.g.›
    LLM score 10 · 3 months ago
  18. Andrej Karpathy / AI researcher
    948.
    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 · 3 months ago
  19. Chelsea Finn / Physical Intelligence Cofounder
    949.
    Studying generalist reward models is hard: robot datasets focus on successful demos, not failures.›
    LLM score 95 · 3 months ago
  20. Noam Brown / OpenAI Research Scientist
    950.
    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 · 3 months ago
  21. Andrej Karpathy / AI researcher
    951.
    @thecsguy Slope of slope
    LLM score 70 · 3 months ago
  22. Jonas Geiping / AI Researcher in Tübingen
    952.
    @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 · 3 months ago
  23. Jonas Geiping / AI Researcher in Tübingen
    953.
    We just published a new open-source model that we trained with RL to be capable of open-ended forecasting!›
    LLM score 20 · 3 months ago
  24. Andrej Karpathy / AI researcher
    954.
    @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 · 3 months ago
  25. Noam Brown / OpenAI Research Scientist
    955.
    @zachcpa I'd give the win to Codex due to the way better optimizations.›
    LLM score 20 · 3 months ago
  26. Noam Brown / OpenAI Research Scientist
    956.
    @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 · 3 months ago
  27. Demis Hassabis / CEO of DeepMind
    957.
    We’re making great progress with our Gemini Robotics work in bringing AI to the physical world - a critical aspect of AGI.›
    LLM score 40 · 3 months ago
  28. Noam Brown / OpenAI Research Scientist
    958.
    @swyx I don't remember the prompt but the initial prompt wasn't very detailed.›
    LLM score 20 · 3 months ago
  29. Noam Brown / OpenAI Research Scientist
    959.
    @_thomasip I think it's similar to the hallucination problem.›
    LLM score 20 · 3 months ago
  30. Noam Brown / OpenAI Research Scientist
    960.
    This solver is a project I've wanted to do for a while.›
    LLM score 40 · 3 months ago
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