SPyCE: Skill-Policy Co-evolution for Multimodal Agents
The episode discusses 'SPyCE: Skill-Policy Co-evolution for Multimodal Agents,' a framework for general AI. Hosts discuss how the system moves beyond static programs by having skills and policies improve together (co-evolution). Key concepts include dynamic, multimodal learning and treating failure as a valuable data signal for continuous, in-situ refinement.