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Subsequent work has demonstrated that positive testing is not inherently irrational [austerweil2011seeking, perfors2009confirmation, oeberst_toward_2023]; for instance, when target phenomena are relatively rare, positive testing approximates optimal information gathering [klayman_confirmation_1987]. Bias emerges not from the strategy itself, but from the interaction between the search strategy and the environment [klayman_varieties_1995]. When a learner’s hypothesis is a subset of, or embedded within, the truth, positive testing yields “ambiguous verifications” that the learner mistakes for strong evidence for their hypothesis [klayman_confirmation_1987]. This creates a feedback loop where the search strategy retrieves only confirming data, and the learner fails to account for the fact that they are sampling from a biased subset of reality.
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从进屋到现在，我才认真端详起阿爸来。阿爸今年54岁，也到了一半入土的年纪了。看起来他和前年没什么变化——一个标志性的光头，一身印着管道公司广告的衣服。冬天到了，里面套着绿的、蓝的、黄的里衣，什么颜色，全看哪件先晾干。，推荐阅读Line官方版本下载获取更多信息
UniPat AI 开源 UniScientist，用 30B 小模型在 FrontierScience-Research和 ResearchRubrics 等科学研究榜单比肩顶尖闭源模型，让模型具备了可闭环推进的科研能力。