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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.
LLMs often withhold helpful information due to misinterpreting user intent, but multi-turn conversations can unlock utility—at a cost of new failure modes like "utility lock-in" and "unsafe recovery" that single-turn benchmarks miss.
