The startup Physical Intelligence released π0.7, a foundation model that recombines learned skills via compositional generalization. It mimics how LLMs reassemble text fragments to perform diverse physical tasks. While the model shows early promise, it still exhibits notable flaws. Practitioners gain a blueprint for scaling robotic versatility through general-purpose architectures.