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.
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
，这一点在体育直播中也有详细论述
All four Sun-like stars would fit inside the area of Jupiter’s orbit.
奋进新征程，奋力往前赶。昂首挺进“十五五”，长丰县以“一马当先”的锐气、“马不停蹄”的劲头，跑出开局“加速度”、拿下首季“开门红”，为谱写中国式现代化合肥篇章贡献更多长丰力量。