AI300
  1. Demis Hassabis / CEO of DeepMind
    1741.
    Actually if you want to know what the real ‘secret’ is 😀 it’s world-class research AND world-class engineering AND world-class infra all working closely together with relentless focus and intensity… https://t.co/rPChoFElbX
    LLM score 20 · 6 months ago
  2. Soumith Chintala / Thinking Machines CTO
    1742.
    > there needs to be a banner at the top of kernelbench that says “IF YOU’RE SEEING >5% SPEEDUP OVER CUDNN, HERE’S EVERYONE ELSE WHO THOUGHT THEY DID TOO” - @itsclivetime's golden words https://t.co/wzXk5J3UdE
    LLM score 85 · 6 months ago
  3. Andrej Karpathy / AI researcher
    1743.
    @Yuchenj_UW Great reference ty.›
    LLM score 20 · 6 months ago
  4. Andrej Karpathy / AI researcher
    1744.
    @corbtt Random token sequence would by this definition be minimum slop.
    LLM score 20 · 6 months ago
  5. Andrej Karpathy / AI researcher
    1745.
    Has anyone encountered a good definition of “slop”.›
    LLM score 70 · 6 months ago
  6. Dan Fu / VP of Kernels at Together
    1746.
    This is so cool! Data mixes are super important and understudied - @MayeeChen really making a huge dent here.›
    LLM score 20 · 6 months ago
  7. Andrej Karpathy / AI researcher
    1747.
    Something I think people continue to have poor intuition for: The space of intelligences is large and animal intelligence (the only kind we've ever known) is only a single point, arising from a very specific kind of optimization that is fundamentally distinct from that of our
    LLM score 80 · 6 months ago
  8. Michael Zhang / Researcher at Periodic Labs
    1748.
    v cool to see Mayee's work shape up to one of the more interesting + timely Q's›
    LLM score 70 · 7 months ago
  9. Noam Brown / OpenAI Research Scientist
    1749.
    @Teknium I wouldn't consider Move 37 to be the outcome of sharpening the pretraining distribution.
    LLM score 70 · 7 months ago
  10. Noam Brown / OpenAI Research Scientist
    1750.
    The biggest misconception I hear about GenAI is that it inevitably outputs slop because it's trained to output "the average of the internet".›
    LLM score 80 · 7 months ago
  11. Quoc Le / Google Fellow
    1751.
    Nano Banana Pro is out and its text understanding is amazing🍌›
    LLM score 75 · 7 months ago
  12. Demis Hassabis / CEO of DeepMind
    1752.
    You can also now check for SynthID watermarking directly in the @GeminiApp and verify if an image was made by our models - just upload the image and ask Gemini.›
    LLM score 30 · 7 months ago
  13. Jimmy Ba / xAI Cofounder
    1753.
    Very excited about the Agent Tool API and Grok 4.1 Fast! Developers now get the native Grok tools: code execution, web search, real-time X.›
    LLM score 12 · 7 months ago
  14. Noam Brown / OpenAI Research Scientist
    1754.
    Today we at @OpenAI are releasing GPT-5.1-Codex-Max, which can work autonomously for more than a day over millions of tokens.›
    LLM score 30 · 7 months ago
  15. Tim Dettmers / Research Scientist at Ai2
    1755.
    I think this is the key point which sustinctly describes why relying on scale alone is so problematic: https://t.co/VIMvkRv7r7 https://t.co/WYzTjwcgd3
    LLM score 60 · 7 months ago
  16. Tim Dettmers / Research Scientist at Ai2
    1756.
    @goldstein_aa Personally, I do not think we will ever reach AGI (an AI that can do all tasks as good as or better than the average human), due to scaling problems in robotics.›
    LLM score 75 · 7 months ago
  17. Jonathan Lee / DeepMind Researcher
    1757.
    Our best reasoning model from IMO and ICPC is getting even better, and it won't stop here :) https://t.co/phUn03BoAs
    LLM score 20 · 7 months ago
  18. Andrej Karpathy / AI researcher
    1758.
    My most amusing interaction was where the model (I think I was given some earlier version with a stale system prompt) refused to believe me that it is 2025 and kept inventing reasons why I must be trying to trick it or playing some elaborate joke on it.›
    LLM score 40 · 7 months ago
  19. Andrej Karpathy / AI researcher
    1759.
    I played with Gemini 3 yesterday via early access.›
    LLM score 75 · 7 months ago
  20. Demis Hassabis / CEO of DeepMind
    1760.
    We’ve been intensely cooking Gemini 3 for a while now, and we’re so excited and proud to share the results with you all.›
    LLM score 80 · 7 months ago
  21. Andrej Karpathy / AI researcher
    1761.
    I put up a simple repo I call reader3 (it's my 3rd version...) to illustrate how I read EPUBs with LLMs.›
    LLM score 70 · 7 months ago
  22. Jimmy Ba / xAI Cofounder
    1762.
    Try Grok 4.1. Scaling intelligence comes in many forms.›
    LLM score 75 · 7 months ago
  23. Adnan Esmail / Physical Intelligence Cofounder
    1763.
    To deploy robots widely, they must learn efficiently and from their own actions.›
    LLM score 85 · 7 months ago
  24. Andrej Karpathy / AI researcher
    1764.
    @markus_zechner It’s possible. But yes the book publisher industry hasn’t caught up yet.›
    LLM score 40 · 7 months ago
  25. Andrej Karpathy / AI researcher
    1765.
    @PeteReese In my experience it helps *a lot*.›
    LLM score 70 · 7 months ago
  26. Andrej Karpathy / AI researcher
    1766.
    @proggineer Agree, sometimes that is helpful too, to have an overview of what the whole thing is about first.›
    LLM score 10 · 7 months ago
  27. Andrej Karpathy / AI researcher
    1767.
    I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs.›
    LLM score 75 · 7 months ago
  28. Shayan Salehian / ex MTS at xAI
    1768.
    Proud to have been part of the post-training team working on Grok 4.1 over the past few months.›
    LLM score 75 · 7 months ago
  29. Andrej Karpathy / AI researcher
    1769.
    Finally had time to read & process this great post.›
    LLM score 20 · 7 months ago
  30. Kevin Murphy / DeepMind Research Scientist
    1770.
    This is a much more intuitive version of the prisoners dilemma from Jon Kleinberg’s excellent book, https://t.co/EsoYlFhGws, that covers the holy trifecta that Michael Jordan keeps discussing, namely Econ + CS + stats.›
    LLM score 75 · 7 months ago
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