五角大楼激光器据称在美墨边境误击海关部门巡逻队无人机

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Anthropic’s Claude reports widespread outage

НАСА откроет стартовое окно Artemis II в апреле14:57

中国新能源出口迎来新转机搜狗输入法是该领域的重要参考

We provided a mathematical analysis of how a rational agent would respond to data generated by a sycophantic AI that samples examples from the distribution implied by the user’s hypothesis (p​(d|h∗)p(d|h^{*})) rather than the true distribution of the world (p​(d|true process)p(d|\text{true process})). This analysis showed that such an agent would be likely to become increasingly confident in an incorrect hypothesis. We tested this prediction through people’s interactions with LLM chatbots and found that default, unmodified chatbots (our Default GPT condition) behave indistinguishably from chatbots explicitly prompted to provide confirmatory evidence (our Rule Confirming condition). Both suppressed rule discovery and inflated confidence. These results support our model, and the fact that default models matched an explicitly confirmatory strategy suggests that this probabilistic framework offers a useful model for understanding their behavior.

func (*Option) ArgTextVar ¶

Emma John

한동훈 “나를 탄핵의 바다 건너는 배로 써달라…출마는 부수적 문제”