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Forget toy tasks: scaling synthetic computer environments unlocks surprisingly effective training data for agents tackling month-long, real-world productivity workflows.
GUI agents can achieve significantly stronger task-solving capabilities through carefully designed post-training and data curation, without relying on costly online data collection.
