Understanding the potential epistemic impact of sycophantic AI is an important challenge for cognitive scientists, drawing on questions about how people update their beliefs as well as questions about how to design AI systems. We have provided both theoretical and empirical results showing that AI systems providing information that is informed by the user’s hypotheses result in increased confidence in those hypotheses while not bringing the user any closer to the truth. Our results highlight a tension in the design of AI assistants. Current approaches train models to align with our values, but they also incentivize them to align with our views. The resulting behavior is an agreeable conversationalist. This becomes a problem when users rely on these algorithms to gather information about the world. The result is a feedback loop where users become increasingly confident in their misconceptions, insulated from the truth by the very tools they use to seek it.
Какой именно объект попал под удар, не уточняется.
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她们跟我说，你只管写，写个开头，后面跟你没关系，没人接，丢的是你的人。我说那行吧。我就在《咸的玩笑》里边挑了一句，这句也是编辑们从小说里摘到扉页上的那一句，“街上走着的每个人，大家都辛苦了。”
│ 4. TEMPORAL CI/CD TUNING │
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