AI has progressed fastest where the world can be cleanly digitized, but robotics remains stubbornly hard. In this episode, we examine Sereact’s Cortex 1.6 and what its results reveal about learning from execution rather than sparse task outcomes. We discuss why execution-level learning improves robustness, recovery behavior, and learning efficiency in real-world robotic manipulation, and what this signals for the future of deployment-first robotics.