The startup Physical Intelligence released π0.7, a foundation model that recombines learned robotic skills like a language model reassembles text. This approach demonstrates early compositional generalization in physical tasks. While the system shows promise, it still exhibits typical early-stage flaws. Practitioners can now test how LLM-style generalization translates to real-world robotic manipulation.