“유통기한 짧다” 교환 거부당하자 케이크 바닥에 내동댕이 [e글e글]
与此同时，因居家时间延长，女性对内衣舒适度的需求被前所未有地放大。就在这个传统巨头轰然失速的窗口期，轻装上阵的Ubras迎来了自己的天时。
，这一点在纸飞机下载中也有详细论述
Postgres - 15 168 QPS; Mean: 151.819 ms, Percentile 99: 927.956 ms
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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