AI300
  1. Yoshua Bengio
    721.
    More of my thoughts on the topic in @Corriere: https://t.co/kI2b018ckz https://t.co/1StPDCzOTm
    LLM score 25 · about 2 months ago
  2. Sayak Paul / Hugging Face Researcher
    722.
    Maybe the best part of the tutorial is going to be the favicon, but I bet the tutorial content couldn't get more comprehensive 🤪›
    LLM score 35 · about 2 months ago
  3. Eric Jang / ex VP of AI at 1X Robotics
    723.
    Other people: ChatGPT Pro 5.5 max thinking, prove or disprove to me whether Single-minus gluon tree amplitudes are nonzero, so that I may be enshrined in the annals of scientific history for free.›
    LLM score 15 · about 2 months ago
  4. Niklas Muennighoff / AI Researcher at Stanford
    724.
    Cursor Composer 2.5 at #1 on an independent eval by @nextjs ahead of Opus 4.8 (https://t.co/da8wdcruGd) https://t.co/gYIESq9wjw
    LLM score 25 · 2 months ago
  5. Michael Elabd / DeepMind Researcher
    725.
    Continual learning is going to be a paradigm shift! Being thoughtful about how we pursue it and who to pursue it with is very important.›
    LLM score 25 · 2 months ago
  6. Jeff Dean / Chief Scientist at DeepMind
    726.
    I enjoyed this chat immensely with @OfficialLoganK and my fellow Gemini leads @OriolVinyalsML and @NoamShazeer and @koraykv.›
    LLM score 15 · 2 months ago
  7. Andrew Lampinen / Research Scientist at DeepMind
    727.
    What are the real problems to be solved in continual learning? In my latest post, I tackle this question — reviewing where I think the field went astray in the past, how language models changed things, and where the real challenges remain.›
    LLM score 65 · 2 months ago
  8. Ben Burtenshaw / Hugging Face Researcher
    728.
    this could be massive for CI on GPUs https://t.co/oOlQtxdrEl
    LLM score 65 · 2 months ago
  9. Ronak Malde / DeepMind Researcher
    729.
    5 days of Trajectory. Welcome to Day 2. At Trajectory, we are building the platform for continual learning.›
    LLM score 65 · 2 months ago
  10. Michael Elabd / DeepMind Researcher
    730.
    Day 2 of Trajectory!! We partnered with Harvey to post-train NVIDIA Nemotron 3 Super on their new LAB benchmark.›
    LLM score 45 · 2 months ago
  11. Cameron Wolfe / Researcher at Netflix
    731.
    Evaluations should not be static.›
    LLM score 78 · 2 months ago
  12. Jonas Geiping / AI Researcher in Tübingen
    732.
    New model's thinking a lot about sandboxes, surprisingly ...›
    LLM score 25 · 2 months ago
  13. Fei-Fei Li
    733.
    I’m very excited by this new benchmark dataset for visual generation that is suitable for the modern era of large scale generative models!🤩 https://t.co/GWsopzqT5B
    LLM score 65 · 2 months ago
  14. John Carmack
    734.
    I have difficulty arguing that most of the writing changes suggested in gmail now aren’t improvements, but it does tend to wipe out my particular authorial voice.
    LLM score 35 · 2 months ago
  15. John Schulman
    735.
    Glad to see this -- renderers are a foundational component of the LLM stack.›
    LLM score 82 · 2 months ago
  16. Boris Cherny / Creator of Claude Code
    736.
    Salesforce published a detailed writeup on going agentic with Claude Code.›
    LLM score 72 · 2 months ago
  17. Leandro von Werra / Hugging Face Head of Research
    737.
    LLMs are generally not great at this but Opus 4.8 seems to be regressing on CAD tasks compared to previous generations: https://t.co/w3Lw17Hnrc
    LLM score 65 · 2 months ago
  18. Alex Zhang / MIT CSAIL PhD
    738.
    Last thing and then I'll shut up because people on this website genuinely have trouble 1) reading and 2) remembering anything:›
    LLM score 25 · 2 months ago
  19. Sayak Paul / Hugging Face Researcher
    739.
    We did a big release of Kernels, featuring important updates!›
    LLM score 45 · 2 months ago
  20. Ben Burtenshaw / Hugging Face Researcher
    740.
    in student mode, this debate around renderers and message-in-tokens-out vs tokens-in-token-out is super interesting and I've learnt a lot from both sides of the argument.›
    LLM score 72 · 2 months ago
  21. Michael Elabd / DeepMind Researcher
    741.
    5 days of Trajectory starts today!! https://t.co/s9tqtdgIc6
    LLM score 25 · 2 months ago
  22. Ronak Malde / DeepMind Researcher
    742.
    5 days. 5 announcements. 5 days of Trajectory starts today.›
    LLM score 35 · 2 months ago
  23. Alex Zhang / MIT CSAIL PhD
    743.
    most shocking part of this blogpost tbh on a more serious note, super valuable insight on mark's experience with AI for systems for AI and where it will be headed and a great first @CoreAutoAI blog.›
    LLM score 45 · 2 months ago
  24. Clive Chan / OpenAI Hardware
    744.
    >hundreds of parallel subagents gonna hit your quota in like 3 seconds https://t.co/AwEPRRRLvj
    LLM score 35 · 2 months ago
  25. Vahid Kazemi / ex MTS at xAI
    745.
    Me: @goal Implement these 3 items.›
    LLM score 35 · 2 months ago
  26. Ethan Shen / Ai2 Researcher
    746.
    Raspberry Pi for AI is kinda dope https://t.co/ott8w1XvJT
    LLM score 25 · 2 months ago
  27. Clive Chan / OpenAI Hardware
    747.
    Improving CPU speed by 10x should not affect training speed essentially at all.›
    LLM score 72 · 2 months ago
  28. Alex Zhang / MIT CSAIL PhD
    748.
    In case you're curious about why dynamic workflows are so powerful and the future, read the RLM paper! Opus 4.8 + dynamic workflows in Claude Code is perhaps the first instance of a frontier model seriously trained to be an RLM.›
    LLM score 72 · 2 months ago
  29. Wes Griffin / Researcher at Flapping Airplanes
    749.
    Awesome stuff from @JonSaadFalcon @Avanika15 and the team!! https://t.co/32bk9Z95L1
    LLM score 25 · 2 months ago
  30. Dan Fu / VP of Kernels at Together
    750.
    Cool stuff! DC inference is supply bound - makes sense to offload intelligence locally when you can! https://t.co/rI0nKQFrzA
    LLM score 25 · 2 months ago
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