The startup Physical Intelligence released π0.7, a foundation model that recombines learned robotic skills through compositional generalization. It mirrors how LLMs reassemble text fragments to handle new tasks. While the system shows early promise, it still exhibits significant flaws. This approach aims to move robotics away from rigid, task-specific programming toward flexible, general-purpose automation.