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ByteDance AI agents double learning speed by working on real tasks

ByteDance’s research arm Seed AI reports that autonomous AI agents can significantly accelerate their learning once deployed in real-world environments. Their findings show that when agents tackle extended, practical tasks instead of just training on static datasets, their learning pace can double approximately every three months. This signals a shift for the AI industry: big […]