AI300
  1. Alex Zhang / MIT CSAIL PhD
    571.
    Some awesome exploration into how feedback influences RLM behavior through the @PrimeIntellect RL residency! https://t.co/DUz9BNfojw
    LLM score 85 · about 2 months ago
  2. Demis Hassabis / CEO of DeepMind
    572.
    Great to see our collaboration w/ @BostonDynamics unlocking new capabilities! Gemini Robotics-ER 1.6 enables robots like Spot to read complex industrial gauges autonomously.›
    LLM score 92 · about 2 months ago
  3. Andrew White / Edison Scientific Cofounder
    573.
    3 years ago we showed that you could get catalyst activity predictions that were calibrated enough to do Bayesian optimization against with LLMs.›
    LLM score 92 · about 2 months ago
  4. Michael Elabd / DeepMind Researcher
    574.
    Compiled some of my thoughts after talking to 200 AI-native companies on building defensible businesses in the age of claude code!›
    LLM score 85 · about 2 months ago
  5. Michael Elabd / DeepMind Researcher
    575.
    Software in the Age of Claude Code(blog)
    LLM score 98 · about 2 months ago
  6. Lewis Tunstall / Hugging Face Researcher
    576.
    Codex's instruction following capabilities are both impressive and surprisingly fragile to typos :)›
    LLM score 92 · about 2 months ago
  7. Kevin Lu / Thinking Machines Researcher
    577.
    tinker as a sandbox for giving autoresearch access to RL training infra 🙂 https://t.co/C7pk2kSXtq
    LLM score 85 · about 2 months ago
  8. Ben Burtenshaw / Hugging Face Researcher
    578.
    les fucking go... for agents to push kernels to the hub, do:›
    LLM score 92 · about 2 months ago
  9. Andrew White / Edison Scientific Cofounder
    579.
    Most chiral molecules arise from carbons being bonded to 4 different atoms, which are called sterocenters.›
    LLM score 85 · about 2 months ago
  10. Merve Noyan / Hugging Face ML Engineer
    580.
    we just shipped Kernels, it's a new repo at @huggingface 💚›
    LLM score 75 · about 2 months ago
  11. Ben Burtenshaw / Hugging Face Researcher
    581.
    Here is a 20 minute lecture on how to setup automated machine learning with agents.›
    LLM score 85 · about 2 months ago
  12. Sayak Paul / Hugging Face Researcher
    582.
    We shipped a new repo type called "kernel" on the Hub.›
    LLM score 92 · about 2 months ago
  13. Horace He / Thinking Machines Founding Engineer
    583.
    As I've talked to folks about Thinky's purpose and why Thinky exists, I've found myself referring to The Intelligence Curse (https://t.co/FXMFkzHURE) time and time again.›
    LLM score 75 · about 2 months ago
  14. John Carmack
    584.
    FLOPS was originally “floating point operations per second”, specifying a rate of work for a system: A SPARCstation 2 gave 4.2 MFLOPS.›
    LLM score 92 · about 2 months ago
  15. Cameron Wolfe / Researcher at Netflix
    585.
    I just published a report on the LLM-as-a-Judge system used to evaluate show synopses on Netflix.›
    LLM score 95 · about 2 months ago
  16. John Schulman
    586.
    Luke and Rudolf's writing on keeping humans central in an AI-powered world sparked a lot of discussion at Thinking Machines.›
    LLM score 85 · about 2 months ago
  17. John Carmack
    587.
    Rhymes with @RichardSSutton’s Bitter Lesson.›
    LLM score 85 · about 2 months ago
  18. Ben Burtenshaw / Hugging Face Researcher
    588.
    rl for agents is moving fast with open source tools.›
    LLM score 85 · about 2 months ago
  19. Lewis Tunstall / Hugging Face Researcher
    589.
    ML interview question: you're implementing on-policy distillation and let's assume the student and teacher servers are already optimised for fast inference.›
    LLM score 92 · about 2 months ago
  20. Ronak Malde / DeepMind Researcher
    590.
    AI are replacing everything, what if they replace Operating Systems altogether?›
    LLM score 82 · about 2 months ago
  21. Thomas Wolf / Hugging Face Cofounder
    591.
    json is so token inefficient it hurts these days man, these braces and quotes are costing me real $$
    LLM score 82 · about 2 months ago
  22. Lewis Tunstall / Hugging Face Researcher
    592.
    We've rebuilt TRL's on-policy distillation trainer from the ground up to:›
    LLM score 92 · about 2 months ago
  23. Merve Noyan / Hugging Face ML Engineer
    593.
    MiniMax 2.7 is out 🔥 it sits in the open frontier in score per token efficiency 🥵 https://t.co/izzcB1I3vf
    LLM score 15 · about 2 months ago
  24. Alex Zhang / MIT CSAIL PhD
    594.
    ik this is an ai slop post but it contains a laundry list of misconceptions that are are quite nice to clear up lol›
    LLM score 92 · about 2 months ago
  25. Eric Jang / ex VP of AI at 1X Robotics
    595.
    just tried this with Claude code + computer use mcp on my Mac.›
    LLM score 92 · about 2 months ago
  26. Skyler Miao / MiniMax Head of Engineering
    596.
    M2.7 weights are live. hope you all enjoy it 😎 been grinding sleepless on M3 and the harness›
    LLM score 82 · about 2 months ago
  27. Jerry Tworek / ex OpenAI VP of RL
    597.
    Most interesting solutions come from looking at old problem from a new side rather than from hammering harder on old techniques
    LLM score 75 · about 2 months ago
  28. Niklas Muennighoff / AI Researcher at Stanford
    598.
    There's a wave of omni embedding models (gemini, nemotron, bidirlm).›
    LLM score 82 · about 2 months ago
  29. Alex Zhang / MIT CSAIL PhD
    599.
    this is a sick idea applying a paper I think is very cool (attention matching) to RLMs ›
    LLM score 92 · about 2 months ago
  30. Ben Burtenshaw / Hugging Face Researcher
    600.
    mcp is dead, if you used it like a cli. a lot of folk were using MCP like clis or APIs, and most of the value in MCP they ignored.›
    LLM score 92 · about 2 months ago
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