AI300
  1. Sholto Douglas / Researcher at Anthropic
    181.
    I’m betting this becomes a textbook case.›
    LLM score 45 · 14 days ago
  2. Leandro von Werra / Hugging Face Head of Research
    182.
    Astonishing: gave Claude (Opus 5.5) a few pens and paper and asked it to make beautiful art for a contest.›
    LLM score 25 · 14 days ago
  3. Keller Jordan / OpenAI Researcher
    183.
    TIL that after Garry Kasparov lost his 1997 match against Deep Blue, he accused the IBM team of having cheated by secretly using human expertise https://t.co/fcBsAr2IoC
    LLM score 25 · 14 days ago
  4. Horace He / Thinking Machines Founding Engineer
    184.
    If training runs on Tinker were fully bitwise deterministic, how valuable would this be to you? Curious about opinions across our user demographic...
    LLM score 35 · 14 days ago
  5. Demis Hassabis / CEO of DeepMind
    185.
    Amazing to see research move from the lab to real-world clinical utility - congrats to the team on this milestone & @TheLancet paper! https://t.co/Jq0G4D6Cx2
    LLM score 35 · 15 days ago
  6. Jerry Tworek / ex OpenAI VP of RL
    186.
    Generalization in 2026: we trained a chonkers on the energy consumption of London and it is good in some things https://t.co/jKmAEP8WzC
    LLM score 25 · 15 days ago
  7. Jack Clark / Anthropic Cofounder
    187.
    I will be giving the Per Jacobsson Foundation Lecture at the IMF conference in Thailand on Saturday, during which I'm going to make the case that we are entering a period of massive, sudden change catalyzed by the advancing capabilities of AI systems.›
    LLM score 15 · 15 days ago
  8. Keller Jordan / OpenAI Researcher
    188.
    Seems like an interesting new speedrun (I don't know whether it's inevitable, but this is a good way to find out.) https://t.co/lfif0RnLxG
    LLM score 35 · 15 days ago
  9. Sholto Douglas / Researcher at Anthropic
    189.
    people have been asking 'if models are so good where is all the new software' for the last year or so.›
    LLM score 65 · 15 days ago
  10. Christian Szegedy / ex xAI Cofounder
    190.
    While the points of this article are technically valid, it is kind of a demonstration how AI can be creative.›
    LLM score 65 · 15 days ago
  11. Siyan Zhao / UCLA PhD
    191.
    Is on-policy sampling always good for distilling any teacher–student pair?›
    LLM score 82 · 15 days ago
  12. Zixuan Li / Lead Z.ai
    192.
    Saw GLM-Legal getting a lot of discussion on HN.›
    LLM score 65 · 15 days ago
  13. Jason Wei / AI Researcher at Meta
    193.
    muse wonder is out! scaling prevails… it has been so fun to be part of the powerful yet nimble ship of Meta, where in just over a year, much of the company pivoted to contribute to the model, ranging from the infra engineers who started building tools for experiment https://t.co/of2NCvxBSX
    LLM score 35 · 15 days ago
  14. Shuchao Bi / Meta Researcher
    194.
    I run every major life decision with our new model now.›
    LLM score 25 · 15 days ago
  15. Thomas Wolf / Hugging Face Cofounder
    195.
    open and state-of-the-art decision models - just saying https://t.co/RAOBOtOfIh
    LLM score 25 · 15 days ago
  16. Zixuan Li / Lead Z.ai
    196.
    GLM-Legal is our first specialized model for professional work.›
    LLM score 35 · 15 days ago
  17. Thomas Wolf / Hugging Face Cofounder
    197.
    Blue = what we knew. Green = what's new.›
    LLM score 35 · 15 days ago
  18. Christian Szegedy / ex xAI Cofounder
    198.
    Worth watching https://t.co/W7QSpYc6IW
    LLM score 15 · 15 days ago
  19. Sander Dieleman / DeepMind Research Scientist
    199.
    Turns out you can use distribution matching distillation (DMD) to turn diffusion/flow models into looped models that iteratively refine samples directly in data space🤯›
    LLM score 82 · 15 days ago
  20. Sander Dieleman / DeepMind Research Scientist
    200.
    This is a beautiful analysis of the order in which diffusion models resolve uncertainty about information at different abstraction levels in different representation spaces, with significant implications for latent diffusion.›
    LLM score 72 · 15 days ago
  21. Leandro von Werra / Hugging Face Head of Research
    201.
    We released Carbon-A: a DNA model that proposed over 500M gene candidates across 22k species!!›
    LLM score 35 · 15 days ago
  22. Lewis Tunstall / Hugging Face Researcher
    202.
    This is a fascinating article on some of the subtle and deep challenges one encounters with formal languages like Lean.›
    LLM score 72 · 15 days ago
  23. Merve Noyan / Hugging Face ML Engineer
    203.
    idk what to tell you we've been cooking with amazing labs›
    LLM score 15 · 15 days ago
  24. Andrew Ma / ex MTS at xAI
    204.
    What if math is only elegant because human minds bias towards elegance? What if future math is like “this mathematical structure underlies half of physics and it’s parametrization was obtained by an army of AI agents doing grid search and there’s no explanation and if you don’t
    LLM score 65 · 16 days ago
  25. Andrew Ma / ex MTS at xAI
    205.
    Forget apps can apple please make MCP ports of everything on iOS App Store so I can control everything with grokbot please tysm
    LLM score 15 · 16 days ago
  26. Igor Babuschkin / Cofounder of xAI
    206.
    We’ve launched fast production inference for open-weight models! Anyone who signs up right now gets $25 in free credits to spend on the platform.›
    LLM score 35 · 16 days ago
  27. Andrew Ma / ex MTS at xAI
    207.
    Instead of doing something directly like ordering lunch it’s so much cooler to add another level of indirection and go through token space and let grokbot do it
    LLM score 25 · 16 days ago
  28. Andrew Ma / ex MTS at xAI
    208.
    Let’s push the algorithmic limits https://t.co/PmdNo0f8f7
    LLM score 25 · 16 days ago
  29. Sander Dieleman / DeepMind Research Scientist
    209.
    Exciting to see more work on diffusion language model evaluation! As I mentioned in my recent blog post (https://t.co/IxtdWvfa6B), this kind of work is urgently needed.›
    LLM score 72 · 16 days ago
  30. Hyung Won Chung / Research Scientist at Meta
    210.
    In AI, most artifacts have a short shelf life.›
    LLM score 65 · 17 days ago
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