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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.
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"The moment we set our eyes on this box of film, we knew it was something special," said George Willeman, who heads up the Library's nitrate film vault, in the article.
英伟达昨天在巴塞罗那通信行业大会表示，当前的 5G 网络主要面向人与设备的连接，难以支撑未来机器人、自动驾驶车辆等大量机器终端的实时智能通信需求。。业内人士推荐体育直播作为进阶阅读
По мнению Рейн, попытки шокировать не могут приносить деньги долго, и долгосрочное сотрудничество с брендами надежнее и выгоднее, чем вирусная популярность. «Интернет любит крайности. Бренды любят стабильность», — добавила она.，推荐阅读im钱包官方下载获取更多信息
因此，APL-1702的获批彻底重构了宫颈癌前病变的治疗体系，更使宫颈癌“全周期精准防控”目标具备了可落地的载体。