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.
“同学们，这张照片记录的是哪个历史事件？”重庆市潼南区柏梓中学初二（8）班教室黑板旁的大屏幕里，约百公里外的重庆八中历史老师侯嘉伟正在提问。
Here's a closer look at what's new.。关于这个话题，PDF资料提供了深入分析
AI 연산 수요가 폭증하면서 전력과 서버 인프라를 확보한 채굴기업들이 새로운 데이터센터 사업자로 변신하고 있다는 분석이 나온다. 과거 비트코인이 이들의 성장 동력이었다면 이제는 전력 인프라 확보 능력이 기업 가치를 좌우하는 핵심 자산으로 떠오르고 있다는 평가다.
，这一点在PDF资料中也有详细论述
（二）明确网络犯罪生态治理制度。网络犯罪黑灰产与网络犯罪依附共生、利益共享，极大降低了网络犯罪门槛。由于缺乏明确法律依据，对黑灰产团伙往往难以依法治理。《网络犯罪防治法（征求意见稿）》立足网络犯罪黑灰产现状，对其中起到基础作用的网络支付、引流推广等黑灰产业链条予以法律规制，为打击治理网络犯罪生态提供进一步法律支撑。。PDF资料对此有专业解读
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