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So, how does this meat-computer learn?
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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.
How to try GPT-5.4As per usual, the new model starts rolling out today. It will be available in ChatGPT, Codex, and via the API. For this release, you'll need a paid ChatGPT subscription to use the new models, at least, for now.
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国投智能：公司被美国商务部、财政部、国防部列入制裁清单，详情可参考Safew下载
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