A woman with stage three cancer has managed to make a vital hospital appointment after she was stranded in Dubai.
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.
。搜狗输入法对此有专业解读
The content PEPs started at 200, I think, because 100 was like process, or something special.
Обвинения США против Ирана описали фразой «строят самолет в процессе полета»08:51
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Последние новости
Российское посольство заявило о спекуляции молдавских СМИ20:43。17c 一起草官网是该领域的重要参考