DreamFAR unveiled as a world model trained only on robot data

DreamFAR's creator introduced it as a world model trained from scratch on robot data, without internet pretraining. The project page describes an interactive demo and reports that a robot policy trained with both real and simulated demonstrations nearly doubled real-only performance on a task placing bags of chips into a basket.