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.
Виктория Клабукова
。业内人士推荐PDF资料作为进阶阅读
We believe this designation would both be legally unsound and set a dangerous precedent for any American company that negotiates with the government.，更多细节参见PDF资料
Footage showed a chaotic scene unfolding inside the church, which belongs to the Southern Baptist Convention, as protesters and members of the congregation shout at each other.。关于这个话题，PDF资料提供了深入分析
Every record includes the data you actually need: autonomous system