Apple's REFACTOR-VLA learns reusable motor skills

REFACTOR-VLA uses a wake/sleep architecture to cluster motor segments via a Behavioral-Equivalence Kernel and generate typed lambda terms, accepting only skills passing MDL and return-preservation gates. It targets long-horizon tasks where monolithic VLA models like OpenVLA and RT-2 struggle.