AI300
  1. Yoshua Bengio
    871.
    Merci à @HugoDecrypte pour l'invitation à faire un tour d'horizon des risques de l'IA ainsi que des solutions nécessaires pour se diriger vers une meilleure trajectoire.›
    LLM score 20 · 2 months ago
  2. Ben Burtenshaw / Hugging Face Researcher
    872.
    I know it's massively off trend, but I love setting up a nice quiver of models in @cursor_ai, reviewing generated tokens in the legit ui, switching models for certain parts, and just generally getting shit done.›
    LLM score 30 · 2 months ago
  3. Ronak Malde / DeepMind Researcher
    873.
    I don't think people have realized how crazy the results are from this new TTT + RL paper from Stanford/Nvidia.›
    LLM score 85 · 2 months ago
  4. Clive Chan / OpenAI Hardware
    874.
    latest response hit 9h25m + 2.3 million output tokens and did everything i wanted it to over the course of TWELVE context compactions https://t.co/F9ByO19kc0
    LLM score 85 · 2 months ago
  5. Cameron Wolfe / Researcher at Netflix
    875.
    Continual learning is being positioned as a prerequisite for AGI (i.e., general systems must be adaptable).›
    LLM score 70 · 2 months ago
  6. Geoffrey Hinton
    876.
    I just watched a really great conversation about the future of AI.›
    LLM score 30 · 2 months ago
  7. Ben Burtenshaw / Hugging Face Researcher
    877.
    The only thing I don't get is why it has to be a Mac mini.›
    LLM score 20 · 2 months ago
  8. Chelsea Finn / Physical Intelligence Cofounder
    878.
    Video models serve as a good pretrained backbone for robot policies.›
    LLM score 70 · 2 months ago
  9. Sander Dieleman / DeepMind Research Scientist
    879.
    As I said in my blog post about latent representations last year: "representation learning and reconstruction are two separate tasks, and while it is convenient to do both at once, this might not be optimal."›
    LLM score 85 · 2 months ago
  10. Shane Legg / Chief AGI Scientist at DeepMind
    880.
    @2024dion @deredleritt3r The fact that it still seems 50-50 by 2028 surprises me! I would have thought that evidence would have tipped it one way or another by now.
    LLM score 30 · 2 months ago
  11. Sergey Levine / Physical Intelligence Cofounder
    881.
    Q-learning with adjoint matching is our latest method for offline RL & offline -> online RL with diffusion/flow models, and (so far?) the best-performing method we've developed for training flow policies with RL.›
    LLM score 95 · 2 months ago
  12. John Carmack
    882.
    #PaperADay 10 LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics›
    LLM score 80 · 2 months ago
  13. Boris Cherny / Creator of Claude Code
    883.
    @ariccio Use it for when the main agent doesn't need to see the work that a skill did, only its output.›
    LLM score 40 · 2 months ago
  14. Michael Elabd / DeepMind Researcher
    884.
    Honestly, I think memory is the biggest blocker to continual learning right now.›
    LLM score 85 · 2 months ago
  15. Andrew Lampinen / Research Scientist at DeepMind
    885.
    Is it better to go to academia or industry for research in AI or cognitive science? It's the most frequent question I get asked by PhD students, and I've finally written up some of my thoughts on the answers, as an epilogue to my more research-focused posts on cog sci and AI: https://t.co/qoIqBKGqX6
    LLM score 75 · 2 months ago
  16. Yoshua Bengio
    886.
    Il est essentiel de développer à la fois une réglementation efficace, des garde-fous sociaux et des solutions techniques comme celles que nous développons à @LawZero_ pour éviter les risques de l’IA avancée tout en développant ses applications positives.›
    LLM score 40 · 2 months ago
  17. Shane Legg / Chief AGI Scientist at DeepMind
    887.
    @kevinkshah @korbencopy I'd give it a 50% probability of happening within 5 years of Minimal AGI.›
    LLM score 70 · 2 months ago
  18. Shane Legg / Chief AGI Scientist at DeepMind
    888.
    @GDalegend @korbencopy We get to 2028 and have something quite close to Minimal AGI, but not quite.
    LLM score 20 · 2 months ago
  19. Shane Legg / Chief AGI Scientist at DeepMind
    889.
    @tablefourthree @BogdanIonutCir2 @korbencopy It's actually surprising to me that my probability hasn't shifted yet, given that 2028 is so close.›
    LLM score 20 · 2 months ago
  20. Shane Legg / Chief AGI Scientist at DeepMind
    890.
    @korbencopy 50% chance of Minimal AGI by 2028.›
    LLM score 70 · 2 months ago
  21. John Carmack
    891.
    #PaperADay 9 floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL›
    LLM score 90 · 2 months ago
  22. Kevin Lu / Thinking Machines Researcher
    892.
    encouraging progress on continued test-time adaptation beyond model deployment!›
    LLM score 65 · 2 months ago
  23. Karan Dalal / Stanford SAIL Researcher
    893.
    Test-time training is inevitable.›
    LLM score 70 · 2 months ago
  24. Ronak Malde / DeepMind Researcher
    894.
    At Deepmind ever since we maxed out SWE-bench , I’ve felt that there hasn’t been a difficult enough benchmark that is aligned with how people want to use AI.›
    LLM score 75 · 2 months ago
  25. Sergey Levine / Physical Intelligence Cofounder
    895.
    Benjie posted a reply to the Physical Intelligence "Olympics" attempt: https://t.co/sPkc5DK4ls›
    LLM score 70 · 2 months ago
  26. Siyan Zhao / UCLA PhD
    896.
    Introducing 💡On-Policy Self-Distillation💡, a simple method that enables LLM to teach itself with dense per-token feedback on its own on-policy generations—achieving 4-8x more token efficiency vs.›
    LLM score 92 · 2 months ago
  27. Noam Brown / OpenAI Research Scientist
    897.
    @_sholtodouglas @jekbradbury @GoogleDeepMind @andy_l_jones @OpenAI @kevin_wang3290 A word on comp: I know folks who become quants to make money but 5 years later ask what they're doing with their life.›
    LLM score 20 · 2 months ago
  28. Noam Brown / OpenAI Research Scientist
    898.
    @_sholtodouglas @jekbradbury @GoogleDeepMind @andy_l_jones Labs like @OpenAI also hire researchers straight out of undergrad, like @kevin_wang3290, though the bar is high.›
    LLM score 60 · 2 months ago
  29. Noam Brown / OpenAI Research Scientist
    899.
    @_sholtodouglas @jekbradbury @GoogleDeepMind @andy_l_jones was a semi-retired quant when he wrote a paper comparing the impact of scaling pretraining vs scaling test-time compute (before TTC scaling was cool).›
    LLM score 70 · 2 months ago
  30. Demis Hassabis / CEO of DeepMind
    900.
    We’re excited to be working with @JNJInnovation to accelerate the path to new medicines.›
    LLM score 60 · 2 months ago
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