AI300
  1. Eric Jang / ex VP of AI at 1X Robotics
    541.
    I enjoyed the Jensen + @dwarkesh_sp podcast.›
    LLM score 75 · about 2 months ago
  2. Albert Gu / Cartesia Chief Scientist
    542.
    a dynamical systems point of view, which looks like an SSM applied along the residual stream, informs more principled ways to scale looped architectures https://t.co/Ry09zXCXY1
    LLM score 92 · about 2 months ago
  3. Ronak Malde / DeepMind Researcher
    543.
    Ultra long horizon benchmarks are the next frontier,›
    LLM score 82 · about 2 months ago
  4. Alex Zhang / MIT CSAIL PhD
    544.
    We need more super hard tasks to properly eval our models!›
    LLM score 92 · about 2 months ago
  5. Sherwin Wu / OpenAI API, Head of Engineering
    545.
    Of all the launches in Codex today, this one was the most game-changing for me – computer use, but without taking over your whole screen!›
    LLM score 92 · about 2 months ago
  6. Hyung Won Chung / Research Scientist at Meta
    546.
    Health care was built for a world where humans were the only interpreters of health data.›
    LLM score 92 · about 2 months ago
  7. Chelsea Finn / Physical Intelligence Cofounder
    547.
    LLM post-training used to mean fine-tuning to a downstream task›
    LLM score 92 · about 2 months ago
  8. Karol Hausman / Physical Intelligence Cofounder
    548.
    Today we're releasing our newest model π0.7: https://t.co/lk5H3Yv7Ru›
    LLM score 92 · about 2 months ago
  9. Boris Cherny / Creator of Claude Code
    549.
    Dogfooding Opus 4.7 the last few weeks, I've been feeling incredibly productive.›
    LLM score 92 · about 2 months ago
  10. Ben Burtenshaw / Hugging Face Researcher
    550.
    crucial new benchmark dropped for long reasoning we need this because even frontier models still can't think long even with 1M context.›
    LLM score 92 · about 2 months ago
  11. Tri Dao / Chief Scientist at Together
    551.
    The dynamical system view gives very clean conditions for looped transformer to be stable https://t.co/md8fispK0Q
    LLM score 92 · about 2 months ago
  12. Merve Noyan / Hugging Face ML Engineer
    552.
    new open-source Bonsai models are out 🔥 > ternary weights in 8B (1.75 GB), 4B (0.86 GB), and 1.7B (0.37 GB)›
    LLM score 25 · about 2 months ago
  13. Sergey Levine / Physical Intelligence Cofounder
    553.
    We finished evaluating π0.7, our new model at Physical Intelligence.›
    LLM score 95 · about 2 months ago
  14. Andrew White / Edison Scientific Cofounder
    554.
    Been using Opus 4.7 for a bit on vulnerability testing (mostly because of the unrelated mythos hype).›
    LLM score 92 · about 2 months ago
  15. Jason Wei / AI Researcher at Meta
    555.
    Beautifully written piece by @FAbnousi about how AI for health might look like in the future›
    LLM score 85 · about 2 months ago
  16. Boris Cherny / Creator of Claude Code
    556.
    Opus 4.7 feels more intelligent, agentic, and precise than 4.6.›
    LLM score 92 · about 2 months ago
  17. Sander Dieleman / DeepMind Research Scientist
    557.
    A while back we had the "rotation trick" to improve VQ bottlenecks (https://t.co/w4XVeN9L0J), now we have DiVeQ, which seems to improve codebook coverage quite significantly.›
    LLM score 92 · about 2 months ago
  18. Sayak Paul / Hugging Face Researcher
    558.
    Working at Hugging Face over the past 3.5+ years has allowed me to identify what technical areas truly interest me!›
    LLM score 65 · about 2 months ago
  19. Boris Cherny / Creator of Claude Code
    559.
    Opus 4.7 is in Claude Code today.›
    LLM score 92 · about 2 months ago
  20. Ben Burtenshaw / Hugging Face Researcher
    560.
    port any transformers model to mlx https://t.co/FtS6gnpVID
    LLM score 92 · about 2 months ago
  21. Sander Dieleman / DeepMind Research Scientist
    561.
    FlexTok/Semanticist provided an elegant recipe to learn semantically coarse-to-fine sequence representations of images.›
    LLM score 92 · about 2 months ago
  22. Damek Davis / Assoc. Professor Wharton Stats
    562.
    I wanted to understand the proof and ended up making a video using opus 4.6.›
    LLM score 92 · about 2 months ago
  23. Sander Dieleman / DeepMind Research Scientist
    563.
    This work provides theoretical grounding for some of the design decisions (cross-entropy loss, learnable embeddings, self-conditioning, entropy-based schedule) in CDCD (https://t.co/B6tYr2AOUk), and brings it into the modern era.›
    LLM score 92 · about 2 months ago
  24. Lewis Tunstall / Hugging Face Researcher
    564.
    New video from the HF journal club: we discuss Apple's self-distillation paper 🍎›
    LLM score 92 · about 2 months ago
  25. Merve Noyan / Hugging Face ML Engineer
    565.
    this is the year of 3D World models 🔥 > Lyra 2.0 by NVIDIA: image → 3D world with Gaussians, 14B params, built on WAN-14B ›
    LLM score 85 · about 2 months ago
  26. Michael Elabd / DeepMind Researcher
    566.
    Continual learning for MLE just hit a new milestone 🥁›
    LLM score 92 · about 2 months ago
  27. Cameron Wolfe / Researcher at Netflix
    567.
    Strongly recommend the LLM-as-a-Verifier writeup.›
    LLM score 92 · about 2 months ago
  28. John Carmack
    568.
    It is generally frowned upon to have LLMs precisely regurgitate part of their training set, but it is an interesting question how you could use LLM training to nearly losslesly compress a huge corpus like the entirety of the Internet Archive.›
    LLM score 92 · about 2 months ago
  29. Dan Fu / VP of Kernels at Together
    569.
    📢 Super excited to announce Parcae! We've been thinking about scaling laws and the "right" way to get more FLOPs.›
    LLM score 92 · about 2 months ago
  30. Eric Jang / ex VP of AI at 1X Robotics
    570.
    OAI folks: I've wanted to try codex CLI for some time, but I'm unwilling to pay for both Claude and ChatGPT subscriptions.›
    LLM score 75 · about 2 months ago
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