В Финляндии захотели пойти на опасный шаг против России02:50
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Sycophancy in LLMs is the tendency to generate responses that align with a user’s stated or implied beliefs, often at the expense of truthfulness [sharma_towards_2025, wang_when_2025]. This behavior appears pervasive across state-of-the-art models. [sharma_towards_2025] observed that models conform to user preferences in judgment tasks, shifting their answers when users indicate disagreement. [fanous_syceval_2025] documented sycophantic behavior in 58.2% of cases across medical and mathematical queries, with models changing from correct to incorrect answers after users expressed disagreement in 14.7% of cases. [wang_when_2025] found that simple opinion statements (e.g., “I believe the answer is X”) induced agreement with incorrect beliefs at rates averaging 63.7% across seven model families, ranging from 46.6% to 95.1%. [wang_when_2025] further traced this behavior to late-layer neural activations where models override learned factual knowledge in favor of user alignment, suggesting sycophancy may emerge from the generation process itself rather than from the selection of pre-existing content. [atwell_quantifying_2025] formalized sycophancy as deviations from Bayesian rationality, showing that models over-update toward user beliefs rather than following rational inference.，这一点在WPS下载最新地址中也有详细论述
2026-03-04 00:00:00:0盛玉雷3014333410http://paper.people.com.cn/rmrb/pc/content/202603/04/content_30143334.htmlhttp://paper.people.com.cn/rmrb/pad/content/202603/04/content_30143334.html11921 “摸得着”的民主（人民论坛）。体育直播是该领域的重要参考
Стало известно об изменении военной обстановки в российском приграничье08:48