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Humans miss 3.9% of opportunities to leverage correct AI suggestions while also over-relying on misleading outputs, highlighting critical gaps in trust and decision-making in human-AI collaboration.
Synthetic benchmarks can't catch the nuances of personalized deep research, as real users revealed nine critical errors that LLM judges missed entirely.