Agentic Stage-One Stellarator Optimization: Autonomous Multi-Objective Search for Finite-Beta Equilibria
The episode discusses 'Agentic Stage-One Stellarator Optimization,' where an AI agent autonomously designs fusion reactor shapes. The hosts explain how this agent acts as a scientific controller, improving designs by making strategic decisions over many epochs. Key findings include a massive increase in successful designs and the creation of a large dataset of optimization transitions.