AI300
  1. Jie Tang / Z.ai Cofounder
    1981.
    pony alpha -> GLM-5 is coming with AA=50, scoring No.›
    LLM score 75 · 6 months ago
  2. Damek Davis / Assoc. Professor Wharton Stats
    1982.
    We've now reached 50+ constants and 20 contributors on the repo!›
    LLM score 75 · 6 months ago
  3. Christian Szegedy / ex xAI Cofounder
    1983.
    Happy to bet that this won't happen neither this year (2026) nor next year (2027) for 95% of software.›
    LLM score 92 · 6 months ago
  4. Demis Hassabis / CEO of DeepMind
    1984.
    Gemini Deep Think is helping advance scientific progress! Very cool to see how experts are using it to accelerate solutions to longstanding problems in maths, physics, and computer science https://t.co/GMTwlzyNR5
    LLM score 75 · 6 months ago
  5. Andrew Ma / ex MTS at xAI
    1985.
    I’ve also left XAI this week. I worked on several improvements to our favorite app and recommendation model, including the X video feed, search bar, user modeling, starter-packs and the home feed model.›
    LLM score 85 · 6 months ago
  6. Aidan McLaughlin / OpenAI Research Scientist
    1986.
    imo the linguistic question of whether ai can 'think' or 'reason' is not disinteresting›
    LLM score 72 · 6 months ago
  7. Lucas Beyer / Meta Researcher
    1987.
    Couple interesting things (new to me): - Macrohard is, roughly, computer-use agents.›
    LLM score 75 · 6 months ago
  8. Andrej Karpathy / AI researcher
    1988.
    New art project. Train and inference GPT in 243 lines of pure, dependency-free Python.›
    LLM score 98 · 6 months ago
  9. Alex Zhang / MIT CSAIL PhD
    1989.
    another related direction I’ll be paying attention to this year :) https://t.co/N9TmwamKWv
    LLM score 75 · 6 months ago
  10. alphaXiv
    1990.
    "Expanding the Capabilities of RL via Text Feedback (RLTF)"›
    LLM score 92 · 6 months ago
  11. Michael Elabd / DeepMind Researcher
    1991.
    Love when papers introduce general frameworks for training-time continual learning!›
    LLM score 92 · 6 months ago
  12. Leandro von Werra / Hugging Face Head of Research
    1992.
    Public benchmarks lag behind what frontier labs are using internally to test and develop LLMs, yet they are the key driver of progress for LLMs.›
    LLM score 92 · 6 months ago
  13. Sherwin Wu / OpenAI API, Head of Engineering
    1993.
    One of my favorite experiments we've run internally: run a software team building 100% with Codex – i.e.›
    LLM score 92 · 6 months ago
  14. Asher Spector / Cofounder of Flapping Airplanes
    1994.
    agreed---fundamental research is often cheaper than frontier-level development, and this creates lots of opportunities to do cool work! https://t.co/i6i2VyntxH
    LLM score 82 · 6 months ago
  15. Merve Noyan / Hugging Face ML Engineer
    1995.
    GLM-5 is out on @huggingface 🔥 > A40B/744B, trained on more tokens (28.5T)›
    LLM score 75 · 6 months ago
  16. Andrej Karpathy / AI researcher
    1996.
    On DeepWiki and increasing malleability of software.›
    LLM score 92 · 6 months ago
  17. Lucas Beyer / Meta Researcher
    1997.
    Haha i didn't believe it at first, but i can reproduce this.›
    LLM score 72 · 6 months ago
  18. Omar Khattab / MIT CSAIL Asst professor
    1998.
    One of the understudied differences between current AI and human intelligence is how comparatively easy it is [for us at least!] to model how humans respond to new knowledge or preferences.›
    LLM score 85 · 6 months ago
  19. Ben Burtenshaw / Hugging Face Researcher
    1999.
    tuning open weight models on colab is hands down biggest educational unlock out there.›
    LLM score 92 · 6 months ago
  20. Jerry Tworek / ex OpenAI VP of RL
    2000.
    Capital is necessary but not sufficient to define the future of machine intelligence
    LLM score 75 · 6 months ago
  21. Cameron Wolfe / Researcher at Netflix
    2001.
    Some more really good papers on rubric rewards that I've been reading:›
    LLM score 85 · 6 months ago
  22. Roland Gavrilescu / ex MTS at xAI
    2002.
    I left xAI. Building something new with others that left xAI.›
    LLM score 35 · 6 months ago
  23. Hang Gao / ex MTS at xAI
    2003.
    I left xAI today. It was truly rewarding to contribute to grok imagine video series: 0.9 as our first release, then 1.0 that recently topped across competitive leaderboards and user feedback.›
    LLM score 85 · 6 months ago
  24. Vahid Kazemi / ex MTS at xAI
    2004.
    I left xAI a few weeks ago. That was short! IMO, all AI labs are building the exact same thing, and it's boring.›
    LLM score 92 · 6 months ago
  25. Omar Khattab / MIT CSAIL Asst professor
    2005.
    Hmm, lots to say here but it's worth reflecting on why today a sharp and motivated "entry-level AI researcher" with access to 3.5/4.6 is obviously drastically and incomparably a better collaborator than 3.5/4.6, and I don't see that changing with another increment.›
    LLM score 92 · 6 months ago
  26. Sherwin Wu / OpenAI API, Head of Engineering
    2006.
    Responses API just got a huge upgrade! It now comes with server-side context compaction, skills, and containers as a runtime in the Responses API.›
    LLM score 75 · 6 months ago
  27. Sherwin Wu / OpenAI API, Head of Engineering
    2007.
    Been seeing more and more crazy examples of people porting software over to new languages or platforms with GPT-5.3-Codex – a friend said he used Codex to rewrite the Codex app to work on Linux over the weekend.›
    LLM score 92 · 6 months ago
  28. Noam Brown / OpenAI Research Scientist
    2008.
    I appreciate @Anthropic's honesty in their latest system card, but the content of it does not give me confidence that the company will act responsibly with deployment of advanced AI models:›
    LLM score 92 · 6 months ago
  29. Merve Noyan / Hugging Face ML Engineer
    2009.
    people sleep on last week's open multimodal releases ›
    LLM score 92 · 6 months ago
  30. Demis Hassabis / CEO of DeepMind
    2010.
    The drug design engine we’re building at @IsomorphicLabs is extending the SOTA further across key benchmarks, showing huge progress in accuracy and capabilities critical for in-silico drug discovery.›
    LLM score 92 · 6 months ago
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