The startup Physical Intelligence released π0.7, a model that recombines learned skills through compositional generalization. It mimics how LLMs reassemble text fragments to perform novel physical tasks. While early, this approach allows robots to apply diverse training data to unfamiliar scenarios, though the researchers admit the system still exhibits flaws.