CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements

CUA-Master is a nested double-loop recursive improvement framework. An outer world-data-model flywheel incorporates open-world corpus to guide data construction and optimization iterations. An inner flywheel couples open-world seeding and autocatalytic propagation to create reusable primitives for task synthesis.