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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.

Anthropic CEO Dario Amodei famously said he could not “in good conscience” support the “all lawful purposes” clause. Then, after hitting Anthropic with the threat of being deemed a military supply chain risk, the government penned a deal with OpenAI to use its tools in classified missions. (Anthropic is reportedly in talks with the Pentagon yet again, with the Pentagon confirming that Anthropic’s Claude Opus was key to its preparations for the historic strike by the U.S. and Israeli military on Iran.)

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