Open-weight models are closing the gap with proprietary AI — and Timothée Lacroix, cofounder and CTO of Mistral, has been betting on that since day one. In this episode, he explains why open weights accelerate enterprise adoption, how Mistral is bringing model customization into production, and what a 2.5x training speed improvement on GB200s means for the next generation of large sparse mixture-of-experts models. He also shares the open problem keeping him up at night: getting AI agent permission systems right before write access becomes the norm.🔬Topics covered:How open models and weights accelerate researchMistral Forge: bringing enterprise-grade model customization to productionThe Nemotron Coalition—what Mistral and NVIDIA are building together2.5x training gains on GB200s for large sparse mixture-of-experts modelsWhy AI agent permissions—especially write access—is important to solveChapters: