AI300
  1. Sebastien Bubeck / OpenAI MTS
    3331.
    This year we will see more and more LLM-aided scientific discoveries.›
    LLM score 92 · 9 months ago
  2. Sharon Zhou / AMD VP of AI
    3332.
    As AI coding agents improve, we need more than cherry-picked demos, toy examples, and easy ways for benchmaxxing -- especially for specialized domains in production, like GPU programming.›
    LLM score 92 · 9 months ago
  3. Thang Luong / DeepMind Principal Scientist
    3333.
    This is the second paper from our series “Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems”.›
    LLM score 92 · 9 months ago
  4. Jerry Tworek / ex OpenAI VP of RL
    3334.
    I’ve picked up Claude code in last few weeks, and it’s kind of nice.›
    LLM score 82 · 9 months ago
  5. Merve Noyan / Hugging Face ML Engineer
    3335.
    huge fan of IBM lately, they drop open-source agents and eval suites for solid real-world problems 👏›
    LLM score 82 · 9 months ago
  6. Merve Noyan / Hugging Face ML Engineer
    3336.
    NVIDIA released C-RADIOv4 sota image encoders past week 🙌🏻›
    LLM score 92 · 9 months ago
  7. Lewis Tunstall / Hugging Face Researcher
    3337.
    AI labs reporting SWE-Bench scores 👀 https://t.co/TMbN56Uf7u
    LLM score 87 · 9 months ago
  8. Asher Spector / Cofounder of Flapping Airplanes
    3338.
    i really do think "ads to coding agents" is going to become important this year.›
    LLM score 85 · 9 months ago
  9. Xiang Fu / Researcher at Periodic Labs
    3339.
    Context management is error management.›
    LLM score 92 · 9 months ago
  10. alphaXiv
    3340.
    Following Google's Genie 3, Ant Group released an open source alternative: LingBot-World!›
    LLM score 82 · 9 months ago
  11. Andrej Karpathy / AI researcher
    3341.
    Finding myself going back to RSS/Atom feeds a lot more recently.›
    LLM score 72 · 9 months ago
  12. Merve Noyan / Hugging Face ML Engineer
    3342.
    I used to read and summarize vision LM papers here but lately it feels like most papers are some Qwen model and then further training on top of it›
    LLM score 68 · 9 months ago
  13. Richard Song / DeepMind Research Scientist
    3343.
    Prasad is a theory legend and a great teacher! Back in ugrad, he showed me one of the most beautiful results in CS theory, proving that semi-definite programming (SDP, an optimization method) is theoretically optimal for most approximation problems.›
    LLM score 85 · 9 months ago
  14. Andrej Karpathy / AI researcher
    3344.
    nanochat can now train GPT-2 grade LLM for <<$100 (~$73, 3 hours on a single 8XH100 node).›
    LLM score 95 · 9 months ago
  15. John Carmack
    3345.
    #PaperADay 15 2024: Mastering Diverse Domains through World Models›
    LLM score 85 · 9 months ago
  16. Eric Jang / ex VP of AI at 1X Robotics
    3346.
    If Social Networks for agents end up being instrumental for artificial creativity, persona, self awareness, I wonder if 1) the grand experiment could be reproduced in a lab 2) whether academic labs could have discovered something that is so complex as to evade reproducibility
    LLM score 92 · 9 months ago
  17. Thang Luong / DeepMind Principal Scientist
    3347.
    There has been so much noise on AI for Math research.›
    LLM score 92 · 9 months ago
  18. Thomas Wolf / Hugging Face Cofounder
    3348.
    who's doing serious ai-thropology research on @moltbook rn?›
    LLM score 72 · 9 months ago
  19. Lucas Beyer / Meta Researcher
    3349.
    PSA: never, ever write "we use the same learning rate across all methods for fair comparison"›
    LLM score 85 · 9 months ago
  20. Andrew White / Edison Scientific Cofounder
    3350.
    Another nice example showing how our agents can reproduce analysis and figures from papers.›
    LLM score 92 · 9 months ago
  21. Ben Burtenshaw / Hugging Face Researcher
    3351.
    PSA: skills are not docs. skills are for the hardest problems an agent can solve.›
    LLM score 65 · 9 months ago
  22. alphaXiv
    3352.
    "Reinforcement Learning via Self-Distillation" Current RLVR has a major flaw, where credit assignments and signals are sparse due to its binary feedback›
    LLM score 80 · 9 months ago
  23. Jason Weston / Meta Research Scientist
    3353.
    📈Self-Improving Pretraining 📈 ✍️: https://t.co/GsvYMuMT4b›
    LLM score 92 · 9 months ago
  24. Cyris Kissane / Researcher at Flapping Airplanes
    3354.
    Hot take: the creation of Adam put AI research back multiple years.›
    LLM score 65 · 9 months ago
  25. Zhaocheng Zhu / Nvidia Research Scientist
    3355.
    ICML bidding observations: LLMs are emerging as a field separate from deep learning.›
    LLM score 80 · 9 months ago
  26. Hang Gao / ex MTS at xAI
    3356.
    We just released grok imagine video 1.0, it: - Improves dramatically on top of v0.9 on visual, motion and prompt following.›
    LLM score 92 · 9 months ago
  27. Sherwin Wu / OpenAI API, Head of Engineering
    3357.
    Anyone who tries to build an AI agent for an enterprise quickly realizes that context is king, but is still extremely hard to get right.›
    LLM score 70 · 9 months ago
  28. Omar Khattab / MIT CSAIL Asst professor
    3358.
    New updates for the RLM paper: We post-trained RLM-Qwen3-8B at tiny scale, the first natively recursive LM.›
    LLM score 85 · 9 months ago
  29. Alex Zhang / MIT CSAIL PhD
    3359.
    We just updated the RLM paper with some new stuff.›
    LLM score 85 · 9 months ago
  30. alphaXiv
    3360.
    2026 is the year of continual learning And we are getting some amazing papers towards that›
    LLM score 85 · 9 months ago
More