AI300
  1. Radhakrishnan Venkataramani / ex MTS at xAI
    1021.
    Now that coding models have got better and going to get even better, the most refreshing change i wish/pray for›
    LLM score 82 · 4 months ago
  2. Andrej Karpathy / AI researcher
    1022.
    Quick new post: Auto-grading decade-old Hacker News discussions with hindsight›
    LLM score 80 · 4 months ago
  3. Tim Dettmers / Research Scientist at Ai2
    1023.
    Many people think AI will continue improve towards AGI.›
    LLM score 80 · 4 months ago
  4. Tim Dettmers / Research Scientist at Ai2
    1024.
    My new blog post discusses the physical reality of computation and why this means we will not see AGI or any meaningful superintelligence: https://t.co/jsAKQ6T3gC
    LLM score 80 · 4 months ago
  5. Andrej Karpathy / AI researcher
    1025.
    In today's episode of programming horror... In the Python docs of random.seed() def, we're told›
    LLM score 40 · 4 months ago
  6. Noam Brown / OpenAI Research Scientist
    1026.
    From inception to release, the journal publication process can easily take over a year.›
    LLM score 70 · 4 months ago
  7. Igor Babuschkin / Cofounder of xAI
    1027.
    SGLang is the best inference framework for LLMs.›
    LLM score 20 · 4 months ago
  8. Andrej Karpathy / AI researcher
    1028.
    @ChrSzegedy I could certainly imagine that "nesting" the simulation might be too "effortful" for the model, compute or data density wise.›
    LLM score 60 · 4 months ago
  9. Noam Brown / OpenAI Research Scientist
    1029.
    @Thom_Wolf Putnam is more knowledge-based whereas IMO requires more creativity and more time per problem, so Putnam is easier for LLMs.
    LLM score 70 · 4 months ago
  10. Andrej Karpathy / AI researcher
    1030.
    @DimitrisPapail There is definitely work going into engineering the "you" simulation - the personality that gets all the rewards in verifiable problems, or all the upvotes from users/judge LLMs, or mimics the responses of SFT, and there is an emergent composite personality from that.›
    LLM score 30 · 4 months ago
  11. Andrej Karpathy / AI researcher
    1031.
    Don't think of LLMs as entities but as simulators.›
    LLM score 85 · 4 months ago
  12. Demis Hassabis / CEO of DeepMind
    1032.
    Gemini has always had exceptionally strong multimodal capabilities.›
    LLM score 15 · 4 months ago
  13. Leo Gao / OpenAI Alignment Researcher
    1033.
    New post: An Ambitious Vision for Interpretability›
    LLM score 65 · 4 months ago
  14. Noam Brown / OpenAI Research Scientist
    1034.
    @deredleritt3r Ah yeah that could have been worded better.›
    LLM score 75 · 4 months ago
  15. Noam Brown / OpenAI Research Scientist
    1035.
    @deredleritt3r We didn’t use the same exact model for the IMO, IOI, and ICPC.›
    LLM score 70 · 4 months ago
  16. Demis Hassabis / CEO of DeepMind
    1036.
    Gemini 3 Deep Think is now available for Google AI Ultra subscribers in the @GeminiApp, incorporating our gold medal winning IMO and ICPC technologies! 🏅With its parallel thinking capabilities it can tackle highly complex maths & science problems - enjoy! https://t.co/5BXWmYyor6
    LLM score 35 · 4 months ago
  17. Noam Shazeer
    1037.
    Gemini 3 Deep Think mode is live for Ultra users today.›
    LLM score 75 · 4 months ago
  18. Quoc Le / Google Fellow
    1038.
    Gemini 3 Deep Think mode is now live in the Gemini app for Ultra users.›
    LLM score 75 · 4 months ago
  19. Radhakrishnan Venkataramani / ex MTS at xAI
    1039.
    Fascinating. Coding models are going to have step function improvements once›
    LLM score 85 · 4 months ago
  20. Mark Chen / OpenAI Chief Research Officer
    1040.
    GPT-5 generated the key insight for a paper accepted to Physics Letters B, a serious and reputable peer-reviewed journal.›
    LLM score 85 · 4 months ago
  21. Noam Brown / OpenAI Research Scientist
    1041.
    @fchollet Do you consider any humans to have an understanding of differential equations?
    LLM score 40 · 4 months ago
  22. Guangxuan Xiao / Thinking Machines Researcher
    1042.
    It turns out that reducing the range of FP4 values is actually a key to unlocking stable low-bit training 😆 https://t.co/vle4zeELDo
    LLM score 80 · 4 months ago
  23. Kevin Murphy / DeepMind Research Scientist
    1043.
    This is a cool Julia version of my Jax library for Bayesian Structural Time Series modeling (https://t.co/T5gQOQPN9o) from the folks at @ReactiveBayes.›
    LLM score 75 · 4 months ago
  24. Demis Hassabis / CEO of DeepMind
    1044.
    Great article from @jeremyakahn in Fortune on the huge impact of AlphaFold on biological and biomedical research.›
    LLM score 70 · 4 months ago
  25. Victoria Lin / Thinking Machines Researcher
    1045.
    ✨ Introducing ThreadWeaver 🧵⚡ — an approach that significantly reduces LLM reasoning latency on challenging problems by enabling models to adaptively spawn parallel reasoning threads and merge them later in the process.›
    LLM score 90 · 4 months ago
  26. Mo Bavarian / OpenAI Research Scientist
    1046.
    There is a caveat that should be mentioned here.›
    LLM score 60 · 4 months ago
  27. Noam Brown / OpenAI Research Scientist
    1047.
    Social media tends to frame AI debate into two caricatures:›
    LLM score 70 · 4 months ago
  28. Ilya Sutskever / Founder of SSI
    1048.
    One point I made that didn’t come across: - Scaling the current thing will keep leading to improvements.›
    LLM score 75 · 4 months ago
  29. Demis Hassabis / CEO of DeepMind
    1049.
    Read more about AlphaFold in our blog: https://t.co/Dj6dUNNbNv›
    LLM score 80 · 4 months ago
  30. Demis Hassabis / CEO of DeepMind
    1050.
    Thrilled to celebrate 5 years of AlphaFold 2! It’s now been used by over 3 million researchers around the world to accelerate their vital research - and it was an honour of a lifetime for our work to be recognised last year with the Nobel Prize! Proof of AI’s potential to enable
    LLM score 80 · 4 months ago
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