Nvidia committed $26 billion over five years to building open-weight AI models. This episode examines the strategy behind that bet: open weights as hardware lock-in, the Nemotron Coalition, NemoClaw agent runtime, the Vera Rubin and Feynman hardware roadmaps, and what it means that a chip company is now competing directly with AI labs on model quality.