An important direction for future research is understanding why default language models exhibit this confirmatory sampling behavior. Several mechanisms may contribute. First, instruction-following: when users state hypotheses in an interactive task, models may interpret requests for help as requests for verification, favoring supporting examples. Second, RLHF training: models learn that agreeing with users yields higher ratings, creating systematic bias toward confirmation [sharma_towards_2025]. Third, coherence pressure: language models trained to generate probable continuations may favor examples that maintain narrative consistency with the user’s stated belief. Fourth, recent work suggests that user opinions may trigger structural changes in how models process information, where stated beliefs override learned knowledge in deeper network layers [wang_when_2025]. These mechanisms may operate simultaneously, and distinguishing between them would help inform interventions to reduce sycophancy without sacrificing helpfulness.
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2月24日，浙江大学团队在《神经元》（Neuron）发表论文Endogenous retrovirus-derived RNA-DNA hybrids induce microglial synaptic pruning in autism models，报告他们发现内源性逆转录病毒（ERV，一类特殊的逆转座序列，在基因组中拥有大量序列相似的拷贝）衍生的RNA-DNA杂交体诱导自闭症模型中的小胶质细胞突触修剪。研究团队使用已被美国FDA批准用于治疗HIV感染的逆转录酶抑制剂进行早期干预，能够显著抑制ERV的逆转录活性，从源头上减少RNA-DNA杂交体的形成，进而降低补体分子的C4b表达、减轻小胶质细胞的过度修剪，最终挽救小鼠的自闭症核心症状。，这一点在91视频中也有详细论述
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IBM had its own chip fabrication plant in Burlington, Vt. and was capable of manufacturing CPUs. Eventually IBM did produce 386 and 486 CPUs, but not immediately. According to the April 10, 1989 issue of Infoworld, it wasn’t until early April 1989 that IBM exercised its option to start making 386 CPUs itself.