AI300
  1. Andrew Ma / ex MTS at xAI
    631.
    So there are four??? Millennium prize problems resolved now?
    LLM score 15 · about 2 months ago
  2. Mo Bavarian / OpenAI Research Scientist
    632.
    agree with Aidan. I think all AI researchers, engineers, and stakeholders should ask themselves this right now & start acting more responsibly.›
    LLM score 65 · about 2 months ago
  3. Hang Gao / ex MTS at xAI
    633.
    I joined OpenAI a few weeks ago and have moved to SF, together with my friends and collaborators from Reve.›
    LLM score 25 · about 2 months ago
  4. Ted Sanders / OpenAI Researcher
    634.
    Suppose you get a magic lamp that can solve any math problem.›
    LLM score 65 · about 2 months ago
  5. Keller Jordan / OpenAI Researcher
    635.
    Imagine reacting with dismay and aversion to novel instances of human misalignment/conflict/incentive-following-behavior, rather than cherishing them as invaluable empirical data for the development of the general science of alignment
    LLM score 72 · about 2 months ago
  6. Sander Dieleman / DeepMind Research Scientist
    636.
    10 years today since we unveiled WaveNet! Autoregression with long context before it was cool😅 ›
    LLM score 45 · about 2 months ago
  7. Sayak Paul / Hugging Face Researcher
    637.
    Like everyone else on @huggingface team, I feel like sharing the origins of my joining the team and being here for ~4 years now 🤗›
    LLM score 15 · about 2 months ago
  8. John Schulman
    638.
    This isn't the most notable aspect of today's news, but on the user data issue, there are different kinds of *training on user data* with very different privacy/IP implications.›
    LLM score 72 · about 2 months ago
  9. Eric Jang / ex VP of AI at 1X Robotics
    639.
    [x] automated math machine [x] proof / disproof of navier stokes conjecture ›
    LLM score 25 · about 2 months ago
  10. Shuchao Bi / Meta Researcher
    640.
    Give it a try. Feedback is extremely welcome.›
    LLM score 15 · about 2 months ago
  11. Mark Chen / OpenAI Chief Research Officer
    641.
    Two things to distinguish: Did any human or agent look at user data as part of the Navier Stokes effort? No.›
    LLM score 65 · about 2 months ago
  12. Thang Luong / DeepMind Principal Scientist
    642.
    Congrats to everyone including all mathematicians across companies and institutions who have been tackling this Navier-Stokes problem for a while! I knew folks who have made very good progress on this at Google DeepMind (both my team & elsewhere) & this news felt very personal to›
    LLM score 15 · about 2 months ago
  13. Mo Bavarian / OpenAI Research Scientist
    643.
    My team worked very hard on the setup, infra, and the runs that resulted in this breakthrough.›
    LLM score 25 · about 2 months ago
  14. Kai / OpenAI Researcher
    644.
    > The best model is no longer the unethical one.›
    LLM score 15 · about 2 months ago
  15. Aidan Smith / Cofounder of Flapping Airplanes
    645.
    they hyperstitioned it https://t.co/Q62dQYUNRe https://t.co/aU11QAYUAD
    LLM score 15 · about 2 months ago
  16. Sebastien Bubeck / OpenAI MTS
    646.
    I would like to clarify a few things: 1) The screenshot is my reaching out to Levent to coordinate our releases.›
    LLM score 25 · about 2 months ago
  17. Noam Brown / OpenAI Research Scientist
    647.
    Yes, this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$500,000 to score 87.5% on ARC-AGI 1.›
    LLM score 65 · about 2 months ago
  18. Noam Brown / OpenAI Research Scientist
    648.
    It can be hard to “feel the AGI” until you see an AI surpass you in a domain you care deeply about.›
    LLM score 65 · about 2 months ago
  19. Zixuan Li / Lead Z.ai
    649.
    What non-coding work do you do in ZCode? Docs, research, design, finance, or something else.›
    LLM score 25 · about 2 months ago
  20. Boris Cherny / Creator of Claude Code
    650.
    I am pleased to see that OpenAI’s new model is roughly on par with Gemini Flash and Opus 4.8 on prompt injection risk.›
    LLM score 62 · about 2 months ago
  21. Thomas Wolf / Hugging Face Cofounder
    651.
    Mistral raising this massive 3B round is a very good news for open-source.›
    LLM score 35 · about 2 months ago
  22. Hang Gao / ex MTS at xAI
    652.
    computer use and robot use agents are on the same path if not isomorphic.›
    LLM score 65 · about 2 months ago
  23. Jerry Tworek / ex OpenAI VP of RL
    653.
    Aged well, and likely we didn’t do good enough job https://t.co/MymplkXaoN
    LLM score 25 · about 2 months ago
  24. Yoshua Bengio
    654.
    Je serai au sommet @allincanada le 17 septembre pour partager comment évolue l’agenda de recherche de @LawZero qui est en pleine croissance dans le cadre d’une conversation sur le thème de Concevoir des systèmes d’IA honnêtes, fiables et sécuritaires.›
    LLM score 20 · about 2 months ago
  25. Yoshua Bengio
    655.
    I will be at @allincanada on September 17 to give an update on @LawZero’s research agenda and growth as part of a fireside chat on Engineering Honesty and Reliability for Safer AI! https://t.co/FBzfg6ZGYQ
    LLM score 15 · about 2 months ago
  26. Merve Noyan / Hugging Face ML Engineer
    656.
    don't let your worlds hang around, join this effort 🤗 https://t.co/0YK6BTZQaO
    LLM score 15 · about 2 months ago
  27. Thomas Wolf / Hugging Face Cofounder
    657.
    okay that’s the best take https://t.co/AbpmwO6uZ6
    LLM score 15 · about 2 months ago
  28. Sayak Paul / Hugging Face Researcher
    658.
    Tutorial starts in 30 mins! Venue is Palissad West, Malmo Arena! https://t.co/TOAsCeGHWU
    LLM score 15 · about 2 months ago
  29. Leandro von Werra / Hugging Face Head of Research
    659.
    Dusted off my old telescope this weekend and asked Astra to build an interactive star map›
    LLM score 15 · about 2 months ago
  30. Merve Noyan / Hugging Face ML Engineer
    660.
    I feel like an openai engineer has seen all the potential memes and decided to add into the mixture https://t.co/HlHEtxUITE
    LLM score 15 · about 2 months ago
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