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Personalized AI agents can achieve up to 20.9% better task success by learning from user feedback in real-time, reshaping the landscape of human-AI collaboration.
Scaling synthetic environments with automatically generated tasks and verifiers unlocks significant reasoning improvements in language models, achieving a 27% relative gain on BBEH.
