A 10,000 GPU cluster in China and Nvidia's new self-improvement loop for robotics lead this week's research. The robotics system applies agentic learning to real-world physical tasks. These developments push the boundaries of hardware scale and autonomous refinement. Practitioners should monitor how these loops reduce the need for manual data labeling in robotics.