AI300
  1. Horace He / Thinking Machines Founding Engineer
    2161.
    In modern ML accelerators, FLOPS have absolutely exploded.›
    LLM score 92 · 6 months ago
  2. Soumith Chintala / Thinking Machines CTO
    2162.
    Thinky's secret plan: 1: Increase Human<->AI bandwidth›
    LLM score 92 · 6 months ago
  3. Kevin Lu / Thinking Machines Researcher
    2163.
    we are excited to share our latest work on interactive human-AI collaboration!›
    LLM score 85 · 6 months ago
  4. Mira Murati / Thinking Machines CEO
    2164.
    Today we're sharing our work on interaction models.›
    LLM score 92 · 6 months ago
  5. Merve Noyan / Hugging Face ML Engineer
    2165.
    MiniCPM-V-4.6 is in 🔥 > 1B (SigLIP2-400M + Qwen3.5-0.8B)›
    LLM score 75 · 6 months ago
  6. Andrej Karpathy / AI researcher
    2166.
    This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser.›
    LLM score 92 · 6 months ago
  7. Julian Schrittwieser / Anthropic Researcher
    2167.
    Super interesting to see performance over time, really drives home how quickly the models are improving! https://t.co/osdK3zOJlC
    LLM score 12 · 6 months ago
  8. Lewis Tunstall / Hugging Face Researcher
    2168.
    Meanwhile, we just added private data support to ml-intern:›
    LLM score 92 · 6 months ago
  9. Jack Clark / Anthropic Cofounder
    2169.
    Many people act like AI policy is some mystery where the right solution demands some kind of Policy Einstein who invents general relativity for tech regulation.›
    LLM score 85 · 6 months ago
  10. Ben Burtenshaw / Hugging Face Researcher
    2170.
    ICYMI: for the last 8 weeks 60k hackers have been fighting it to build the ultimate RL environments with OpenEnv.›
    LLM score 75 · 6 months ago
  11. Yoshua Bengio
    2171.
    Excellent explainer video by @FryRsquared on the risks of AI agents.›
    LLM score 92 · 6 months ago
  12. Christian Szegedy / ex xAI Cofounder
    2172.
    Neither Terry Tao nor Judit Polgar assess AI's trajectory realistically.›
    LLM score 82 · 6 months ago
  13. Christian Szegedy / ex xAI Cofounder
    2173.
    The AI bubble started in 1980.
    LLM score 75 · 6 months ago
  14. Vahid Kazemi / ex MTS at xAI
    2174.
    I read an article on WSJ about how "AI Can’t Agree on Which Jobs AI Might Destroy".›
    LLM score 75 · 6 months ago
  15. Jerry Tworek / ex OpenAI VP of RL
    2175.
    If the AI models are so smart, why do I feel like I’m losing a few neurons every time I read a longer form content written by AI?›
    LLM score 75 · 6 months ago
  16. Ben Burtenshaw / Hugging Face Researcher
    2176.
    PSA: If you put your blood, sweat, and tears into a custom model for your use case on OpenAI, make sure you get the weights.›
    LLM score 92 · 6 months ago
  17. Clive Chan / OpenAI Hardware
    2177.
    this is a pretty funny and over-the-top spicy report, glad it's clear that cerebras has genuinely cool tech and PMF but has insane exaggerations›
    LLM score 85 · 6 months ago
  18. Vahid Kazemi / ex MTS at xAI
    2178.
    IMO coding benchmarks aren't capturing the flaws of LLMs in coding.›
    LLM score 92 · 6 months ago
  19. Keller Jordan / OpenAI Researcher
    2179.
    Modded-NanoGPT optimization result #12: Transferring good hparams from recent NorMuon records -- in particular, taking final val 25 steps early following @wen_kaiyue's NorMuonH, and lr=0.035 following Liming Liu's NorMuon -- improved the Muon baseline by 50 steps.›
    LLM score 95 · 6 months ago
  20. Keller Jordan / OpenAI Researcher
    2180.
    Modded-NanoGPT optimization result #11: @nilinabra has achieved a new record of 3225 steps (-25) via a novel technique dubbed Contra-Muon, in which top SVD components are somewhat suppressed.›
    LLM score 92 · 6 months ago
  21. Jerry Tworek / ex OpenAI VP of RL
    2181.
    This is unfortunately mostly a bearish take on RL https://t.co/bbUle9yq3B
    LLM score 75 · 6 months ago
  22. Cyris Kissane / Researcher at Flapping Airplanes
    2182.
    I have an existence proof of a minimum of 384k layers https://t.co/wDMOGLmtPO
    LLM score 92 · 6 months ago
  23. Jerry Tworek / ex OpenAI VP of RL
    2183.
    Laws of physics of companies are generally simple but specific for each industry.›
    LLM score 65 · 6 months ago
  24. Jack Clark / Anthropic Cofounder
    2184.
    Gotta hand it to him - Juergen Schmidhuber had some amazing papers in the 2010s - early stuff on handwriting recognition (https://t.co/xus8EKhNd8), computer vision (https://t.co/R2saXFHMTy), suggesting intelligence be benchmarked via video games (https://t.co/MpupPARwQe), etc.
    LLM score 85 · 6 months ago
  25. Cameron Wolfe / Researcher at Netflix
    2185.
    Great point about the utility of multi-teacher on-policy distillation and why this approach might be preferable to just including multiple domains in RL training.›
    LLM score 92 · 6 months ago
  26. Juntang Zhuang / MTS at xAI (pre-training lead)
    2186.
    I left xAI earlier this year after two incredible years.›
    LLM score 75 · 6 months ago
  27. Andrew White / Edison Scientific Cofounder
    2187.
    Is there a legit complete IND publicly available on the internet anywhere? Like the 1k page document? It would be really instructive to see what these look like.
    LLM score 82 · 6 months ago
  28. Cameron Wolfe / Researcher at Netflix
    2188.
    Really interesting work. I like the idea of finding simple ways to encourage better routing between experts that adapts naturally based on the task / domain.›
    LLM score 82 · 6 months ago
  29. Merve Noyan / Hugging Face ML Engineer
    2189.
    read our response here https://t.co/oA7DAMyJql I wish journalists can do better in the future wrt avoiding baiting https://t.co/85whKvIJGZ
    LLM score 85 · 6 months ago
  30. Sander Dieleman / DeepMind Research Scientist
    2190.
    Great thread about multimodal models. Just because a single Transformer can do it all, that doesn't mean doing things this way makes the most sense economically.›
    LLM score 92 · 6 months ago
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