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.
可以预见的是，美妆巨头在经济承压的当下，裁员无疑是应对挑战、降本增效、节约成本的一把利刃，而对于管理层的人事变动，则是聚焦企业核心业务、提升决策效率的关键举措。
。业内人士推荐电影作为进阶阅读
Российское посольство заявило о спекуляции молдавских СМИ20:43。PDF资料对此有专业解读
Блогеру Арсену Маркаряну дали срок14:50
但報告作者聖經公會堅持其發現，並表示已和YouGov核對。