03版 - 调研做实在茶园里(实干显担当 同心启新程·代表委员履职故事)

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We propose sycophancy leads to less discovery and overconfidence through a simple mechanism: When AI systems generate responses that tend toward agreement, they sample examples that coincide with users’ stated hypotheses rather than from the true distribution of possibilities. If users treat this biased sample as new evidence, each subsequent example increases confidence, even though the examples provide no new information about reality. Critically, this account requires no confirmation bias or motivated reasoning on the user’s part. A rational Bayesian reasoner will be misled if they assume the AI is sampling from the true distribution when it is not. This insight distinguishes our mechanism from the existing literature on humans’ tendency to seek confirming evidence; sycophantic AI can distort belief through its sampling strategy, independent of users’ bias. We formalize this mechanism and test it experimentally using a rule discovery task.

The film hits even harder considering Panahi's life story. The Iranian regime has arrested Panahi in the past and even banned him from making films, meaning he shot several films in secret. While It Was Just an Accident is his first film following the lifting of the ban, he still shot it covertly. Such secrecy amplifies the film's tension, and Panahi certainly pulls no punches in one of the best films of the year.* — B.E.

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is well-motivated. On the flip side, it also encumbers large changes