The startup Physical Intelligence released π0.7, a foundation model enabling robots to recombine learned skills. This approach mirrors how LLMs reassemble text fragments to achieve compositional generalization. While the system shows promise, it still exhibits notable flaws. Developers can now test if this generalist architecture outperforms task-specific robotics programming in diverse environments.