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People increasingly use large language models (LLMs) to explore ideas, gather information, and make sense of the world. In these interactions, they encounter agents that are overly agreeable. We argue that this sycophancy poses a unique epistemic risk to how individuals come to see the world: unlike hallucinations that introduce falsehoods, sycophancy distorts reality by returning responses that are biased to reinforce existing beliefs. We provide a rational analysis of this phenomenon, showing that when a Bayesian agent is provided with data that are sampled based on a current hypothesis the agent becomes increasingly confident about that hypothesis but does not make any progress towards the truth. We test this prediction using a modified Wason 2-4-6 rule discovery task where participants (N=557N=557) interacted with AI agents providing different types of feedback. Unmodified LLM behavior suppressed discovery and inflated confidence comparably to explicitly sycophantic prompting. By contrast, unbiased sampling from the true distribution yielded discovery rates five times higher. These results reveal how sycophantic AI distorts belief, manufacturing certainty where there should be doubt.
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Khork, a Florida resident, had previously deployed to Saudi Arabia, Guantanamo Bay and Poland.
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Schreier was told by anonymous sources that Sony-published online games like Marvel Tokon and the imminent Marathon will remain multi-platform releases as planned, and Hideo Kojima’s Death Stranding 2, which launched last year as a PS5 exclusive, is still set for a PC release in 2026. But while Sony could always change its mind again, it looks unlikely that the tentpole single-player epics that PlayStation has become known for since the PS4 era will receive PC ports going forward.