AI300
  1. Andrej Karpathy / AI researcher
    451.
    With the coming tsunami of demand for tokens, there are significant opportunities to orchestrate the underlying memory+compute *just right* for LLMs.›
    LLM score 92 · about 1 month ago
  2. Sergey Levine / Physical Intelligence Cofounder
    452.
    At Physical Intelligence, we teamed up with @weaverobotics and @Ultraroboticsco to stress-test our models in real-world deployments.›
    LLM score 92 · about 1 month ago
  3. Boris Cherny / Creator of Claude Code
    453.
    We shipped Claude Code as a research preview a year ago today.›
    LLM score 75 · about 1 month ago
  4. Lucas Beyer / Meta Researcher
    454.
    Holy cow! I hope for the sake of my friends there, that it won't happen...›
    LLM score 75 · about 1 month ago
  5. Merve Noyan / Hugging Face ML Engineer
    455.
    3D Arena is so back! 🔥 compare closed APIs to open models for asset generation and help develop arena 🙌🏼 https://t.co/PgdR9WJjgQ
    LLM score 75 · about 1 month ago
  6. Sebastien Bubeck / OpenAI MTS
    456.
    I feel the First Proof results are a bit downplayed ...›
    LLM score 92 · about 1 month ago
  7. Andrew Lampinen / Research Scientist at DeepMind
    457.
    Really cool work — learning over sequential experiences that contain the embodied cue of viewpoint as well as visual inputs, can give rise to human-like 3D shape perception! https://t.co/3rfigNmAzq
    LLM score 75 · about 1 month ago
  8. Sholto Douglas / Researcher at Anthropic
    458.
    Reiner taught me much of what I know - goes without saying that I trust him to make the best chip in the world.›
    LLM score 75 · about 1 month ago
  9. Andrej Karpathy / AI researcher
    459.
    CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit.›
    LLM score 92 · about 1 month ago
  10. Jim Fan / NVIDIA Director of Robotics
    460.
    What can half of GPT-1 do? We trained a 42M transformer called SONIC to control the body of a humanoid robot.›
    LLM score 92 · about 1 month ago
  11. Cameron Wolfe / Researcher at Netflix
    461.
    Interesting study on properly using PDF data with LLMs.›
    LLM score 92 · about 1 month ago
  12. Merve Noyan / Hugging Face ML Engineer
    462.
    everyone talks about how perplexity AI is dead? they actually released four SOTA diffusion-based embedding models just last week in 600M and 4B 🔥›
    LLM score 92 · about 1 month ago
  13. Devansh Pandey / Standard Intelligence Cofounder
    463.
    shout out to the trusty heap for storing all the video data needed to train FDM-1.›
    LLM score 82 · about 1 month ago
  14. Lucas Beyer / Meta Researcher
    464.
    New optimizer with earth-shattering plots making the rounds, and published in Nature too (Machine Intelligence, but let's just drop that part.)›
    LLM score 92 · about 1 month ago
  15. Merve Noyan / Hugging Face ML Engineer
    465.
    I didn't want to comment on this but I saw Anthropic employees who mentioned distilling one model isn't innovation, just read papers from these labs they have good stuff there? ›
    LLM score 92 · about 1 month ago
  16. Chace Lee / ex MTS at xAI
    466.
    Awesome work. VPT is one of my favorite papers. Computer-use agents live or die by where you draw the abstraction boundary.›
    LLM score 92 · about 1 month ago
  17. Cameron Wolfe / Researcher at Netflix
    467.
    Rubric-based RL is a really popular topic right now, but it’s not new.›
    LLM score 85 · about 1 month ago
  18. Christian Szegedy / ex xAI Cofounder
    468.
    Just a different way of saying: AI is getting increasingly good at long-horizon tasks.›
    LLM score 75 · about 1 month ago
  19. Vahid Kazemi / ex MTS at xAI
    469.
    AI-generated music went from 'AI slop' to 'this is as good a song as I’ve ever heard' real quick.
    LLM score 72 · about 1 month ago
  20. Devansh Pandey / Standard Intelligence Cofounder
    470.
    there is much work to do. in the next few months we need to train 100x larger models on 200x as much data as we have done before, scale RL to have millions of agents learning things from the internet, and use the computer use prior to build the first models that can scalably https://t.co/vzBqlj3kBi
    LLM score 92 · about 1 month ago
  21. Damek Davis / Assoc. Professor Wharton Stats
    471.
    Very cool! If I had time, I would try to get low parameter count by taking, e.g., the 512 parameter model and then distilling it down to a smaller model.›
    LLM score 75 · about 1 month ago
  22. Jeff Dean / Chief Scientist at DeepMind
    472.
    AI in educational settings has enormous positive potential (education is one of seven areas I & co-authors discussed in our recent paper on Shaping AI's Impact on Billions of Lives https://t.co/tjHmjn2vwj).›
    LLM score 92 · about 1 month ago
  23. Noam Brown / OpenAI Research Scientist
    473.
    tl;dr SWE-bench Verified is heavily contaminated for all frontier models, and many of the problems are also broken.›
    LLM score 95 · about 1 month ago
  24. Aidan Smith / Cofounder of Flapping Airplanes
    474.
    if you’ve ever asked yourself if like, 5 guys could’ve invented and scaled gpt, from the data to the arch to the posttraining, you’ve got your answer.›
    LLM score 92 · about 1 month ago
  25. John Carmack
    475.
    I always lost performance when I tried to use silu/gelu activations in my RL value networks, and I finally understand why.›
    LLM score 98 · about 1 month ago
  26. Jack Clark / Anthropic Cofounder
    476.
    Figuring out what the trends will be for AI and employment feels like figuring out how deep learning might influence computer vision in ~2010 - clearly, something significant will happen, but there is very little data out of which you can make a trend.
    LLM score 92 · about 1 month ago
  27. Merve Noyan / Hugging Face ML Engineer
    477.
    OlmOCR-Bench by @allen_ai is now a @huggingface Benchmark dataset 🏆›
    LLM score 75 · about 1 month ago
  28. Ronak Malde / DeepMind Researcher
    478.
    Been having several convos lately with people asking "are all software engineers going to get cooked in the next few years?".›
    LLM score 85 · about 1 month ago
  29. Christian Szegedy / ex xAI Cofounder
    479.
    A fair assessment. It looks like the gap in our timelines is narrowing.›
    LLM score 92 · about 1 month ago
  30. Chace Lee / ex MTS at xAI
    480.
    Ideas are cheap. Execution scales.›
    LLM score 75 · about 1 month ago
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