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Mistral research scientist Sagar Vaze breaks down the open-weight release of Mistral Large 4, a 1-trillion parameter multimodal model trained on 1E25 FLOPS. He explains how on-policy distillation delivers extreme token efficiency, why enterprise fine-tuning beats massive closed models, and how open…
Mistral CRO Marjorie Janiewicz joins MTS to break down the open-weight release of Mistral Large 4. She discusses how the frontier model matches closed-source coding and cyber defense capabilities at a fraction of competitors' compute investment, while laying out why enterprise sovereignty and model…
Sarah Constantin of Principles of Intelligence explores the blind spots in AI agent evaluation and why fast doom scenarios misjudge physical science. She also unpacks why current US tort law fails to hold companies liable for unintentional AI cyberattacks, alongside reflections on rationalist cultu…
Databricks VP and Neon co-founder Nikita Shamgunov explains why cloud hyperscalers offer the wrong primitives for AI agents and how Lakebase solves database state at scale. He breaks down separating compute from storage, the shift to AI software factories, and why competitors like Microsoft are cop…
Vastuuvapautusilmoitus: Tälle sivulle upotettu podcast ja kuvitus ovat peräisin MTS :ltä, joka on sen omistajan omaisuutta, eikä se ole sidoksissa Listen Notes, Inc:n tukemaan.