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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.
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The love affair with streaming was built on a promise: everything you want, everywhere you go, for the price of a few coffees. Netflix was first to burst out in the early 2010s, its appeal broadened by the inclusion of star-power and big-budget original shows and movies. By 2020, subscription services had become so mainstream that locked-down living rooms across America played host to streaming wars, now featuring industry heavyweights including Disney, HBO, and Amazon.
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Москалькова рассказала о реакции родственников на освобождение пленных бойцов СВО20:47，推荐阅读PDF资料获取更多信息
on_change: Called when the value changes. Good for debug logging.