
Physical Intelligence, a San Francisco robotics startup, released research on its π0.7 model showing robots can perform tasks they weren't explicitly trained on. The model combines skills learned from different contexts to solve novel problems. Demonstrations included an air fryer task learned from fragmented training data. With verbal coaching, performance improved significantly. Researchers acknowledge limitations in complex multi-step autonomy and note prompt engineering affects results.