AI300
  1. Andrew Lampinen / Research Scientist at DeepMind
    3301.
    Interesting results by @eghbal_hosseini on how language models representation geometry evolves during different types of in-context learning! https://t.co/yfCfQKcOt9
    LLM score 85 · 9 months ago
  2. Sander Dieleman / DeepMind Research Scientist
    3302.
    Latent representations are pervasive in modern generative modelling at scale, because iterative refinement in a compact latent space is much more cost-effective, and latents can be decoded to pixels in a single forward pass.›
    LLM score 92 · 9 months ago
  3. Andrej Karpathy / AI researcher
    3303.
    Enabled fp8 training for +4.3% improvement to "time to GPT-2", down to 2.91 hours now.›
    LLM score 92 · 9 months ago
  4. Noam Brown / OpenAI Research Scientist
    3304.
    Every ~6 months I hear people claim @OpenAI isn’t doing real research and is just incrementally improving ChatGPT.›
    LLM score 92 · 9 months ago
  5. Andy Jones / Anthropic Research Engineer
    3305.
    my guess is that in low-competition regimes AI behaves like a human because that's a strong prior on how entities should behave.›
    LLM score 92 · 9 months ago
  6. Mark Chen / OpenAI Chief Research Officer
    3306.
    Just because we focus on research doesn't mean we will pursue *all* research.›
    LLM score 82 · 9 months ago
  7. Thang Luong / DeepMind Principal Scientist
    3307.
    Another cute comic for this work: a nice collaborative story between #Aletheia and human experts for cracking Erdős problems, thanks @AwaitSeedIgnite! I wish we have ComicBanana for all papers :) First four pages here and full one in this link https://t.co/vJBHR2ZKM9.›
    LLM score 85 · 9 months ago
  8. Mark Chen / OpenAI Chief Research Officer
    3308.
    How does OpenAI balance long-term research bets with product-forward research fundamentals? ›
    LLM score 92 · 9 months ago
  9. Albert Gu / Cartesia Chief Scientist
    3309.
    one question we got a lot about H-Net is how it compares to MoE.›
    LLM score 92 · 9 months ago
  10. Jim Fan / NVIDIA Director of Robotics
    3310.
    The Second Pre-training Paradigm(blog)
    LLM score 100 · 9 months ago
  11. Ethan Shen / Ai2 Researcher
    3311.
    Excited to announce several updates to Ai2 Open Coding Agents:›
    LLM score 85 · 9 months ago
  12. Wenting Zhao / Alibaba Qwen Researcher
    3312.
    This release is an emtional one for me because I had stayed up so much for it 🥹 It has been truly amazing to see this model becomes better bit by bit through every change we make, and we have come a long way.›
    LLM score 75 · 9 months ago
  13. Omar Khattab / MIT CSAIL Asst professor
    3313.
    I guess the original interpretation of the bitter lesson is arguably at odds with LLM practice so far.›
    LLM score 92 · 9 months ago
  14. Binyuan Hui / Alibaba Qwen Research Scientist
    3314.
    I believe agents are about to enter an era of efficient execution.›
    LLM score 92 · 9 months ago
  15. alphaXiv
    3315.
    It's probably not an exaggeration that scientific figures are the soul of a paper›
    LLM score 92 · 9 months ago
  16. Ted Sanders / OpenAI Researcher
    3316.
    no one knows how good AI will get, but prospects are so exciting that legions now labor to build it, gauging (correctly) that the risk of building the wrong thing beats building nothing.›
    LLM score 82 · 9 months ago
  17. Merve Noyan / Hugging Face ML Engineer
    3317.
    came across this gem today > when modern inpainters (diffusion models + VAE) inpaint the image, it experiences spectral shifts that detectors exploit›
    LLM score 85 · 9 months ago
  18. Sayak Paul / Hugging Face Researcher
    3318.
    We shipped a new CP backend in Diffusers and seems like it's our best one so far 🔥›
    LLM score 92 · 9 months ago
  19. Roland Gavrilescu / ex MTS at xAI
    3319.
    We used to have a rule at xAI: always keep the GPUs running.›
    LLM score 85 · 9 months ago
  20. Ben Burtenshaw / Hugging Face Researcher
    3320.
    If you're doing AI in the medical domain, follow OpenMed.›
    LLM score 75 · 9 months ago
  21. Jascha Sohl-Dickstein / Anthropic Researcher
    3321.
    When AI fails, will it do so by coherently pursuing the wrong goals? Or will it fail the way humans often fail, and take incoherent actions that don't pursue any consistent goal.›
    LLM score 92 · 9 months ago
  22. Alex Zhang / MIT CSAIL PhD
    3322.
    This is bar for bar one of the core pieces of intuition behind how we came up with RLMs, why they currently work, and why they are so promising for this year!›
    LLM score 92 · 9 months ago
  23. Omar Khattab / MIT CSAIL Asst professor
    3323.
    This sounds so cool: Auto-regressive late interaction / multi-vector retrieval models.›
    LLM score 12 · 9 months ago
  24. Quoc Le / Google Fellow
    3324.
    Excited to share our latest work: "Semi-Autonomous Mathematics Discovery with Gemini." We used Gemini to systematically evaluate 700 "open" conjectures in the Erdős Problems database.›
    LLM score 92 · 9 months ago
  25. Lucas Beyer / Meta Researcher
    3325.
    Ah! Some people might know that I've long been suspicious of looking almost only at perplexity for pretrain...›
    LLM score 92 · 9 months ago
  26. alphaXiv
    3326.
    The first end-to-end Transformer interpretability method that captures the full model computation!›
    LLM score 92 · 9 months ago
  27. Aidan McLaughlin / OpenAI Research Scientist
    3327.
    welcome codex app! my favorite feature is how insanely simple woktrees are›
    LLM score 82 · 9 months ago
  28. Noam Brown / OpenAI Research Scientist
    3328.
    Codex is writing all my code these days, and I've fully switched to using the Codex app.›
    LLM score 72 · 9 months ago
  29. Demis Hassabis / CEO of DeepMind
    3329.
    The AI field is in need of harder benchmarks to test capabilities of the latest AI models.›
    LLM score 92 · 9 months ago
  30. Sebastien Bubeck / OpenAI MTS
    3330.
    This year we will see more and more LLM-aided scientific discoveries.›
    LLM score 92 · 9 months ago
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