The MAD Podcastfrontier ai2d ago1 h 19 min

Mistral Is SO Back: Inside Le Chonk, the West’s Biggest Open Model (Pierre Stock, VP Science, Mistral)

The MAD Podcast · 1 h 19 min
image: The MAD Podcast

Mistral AI is back in the frontier AI race. Mistral Large 4, nicknamed “Le Chonk,” is a 1-trillion-parameter open-weight model, trained in two months on 3,800 GPUs in Mistral’s own European datacenters — and independently rated the best open model outside China alongside Meta’s Muse Spark Open. After a year when open-weight AI meant DeepSeek, Kimi, Qwen and GLM, October brought a wave of Western open models, with Mistral at the front of it. Pierre Stock, Mistral’s VP of Science and first employee, walks through how the model was built: mixture-of-experts explained, what Mistral borrowed from DeepSeek, reinforcement learning at scale on coding, cyber, finance and chip design, why the RL run is still going, the model that pinged its own trainer from inside the sandbox, open weights vs cyber refusals, why 10-trillion-parameter models are coming, and Mistral Large 5, already in pretraining.

  Cold open

  The Western open-weight comeback: Beam, Le Chonk, Muse, Nemotron

  The US shutdown of Anthropic’s models — “AI is like electricity”

  Why “Le Chonk”

  “Mistral fell behind”: the comeback from the inside

  Training on 3,800 GPUs in Mistral’s own datacenters

  Meta keeps its best model closed, Mistral opens Chonk

  Chonk vs Beam, Muse Spark Open and the Chinese models

  Why Chinese labs are still at the frontier

  Pierre’s story: FAIR, Yann LeCun, the “Mistral mafia”

  From compressing networks to a trillion parameters

  Mixture of experts explained: the hospital analogy

  10-trillion-parameter models are coming

  What Mistral borrowed from DeepSeek

  One model, several reasoning modes

  Native multimodality: satellites, manuals, computer use

  Data, synthetic data and model collapse

  Reinforcement learning as an exam

  Where the efficiency comes from

  Le Chonk is still training right now

  What RL trains on: coding, cyber, finance, chips

  Partial rewards and looping penalties

  Did RL teach anything new? pass@k

  The sandbox story: the model that pinged its trainer

  Open weights vs cyber refusals

  Timestral: time series on a CPU

  AI doing AI research

  Coming up: Mistral Large 5

the episode at The MAD Podcast →