ENPIRE pushes self-improving agents off the screen and into robot arms.

A closed-loop framework where coding agents autonomously refine real-world robot policies reports 99% success on manipulation tasks like pin-box organization, zip-tie fastening, and tool use, with gains accelerating when run across multiple robots in parallel (arXiv:2606.19980). The "agent that improves itself" pattern is jumping from code into physical control, and it lines up with NVIDIA's Physical AI tooling push this week. Software builders moving toward hardware, exactly what Pieter Levels was pointing at.