Minghao Fu

Autonomous agents can recursively self-improve LLM-generated games, achieving superhuman performance and drastically cutting generation costs by internalizing development experience.

Foundation model embeddings contain so much irrelevant detail that projecting them into a task-centric latent space actually *improves* world model quality and control performance.