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.
Percentile 50 (Median): 8.429 ms | 2.167 ms。业内人士推荐PDF资料作为进阶阅读
He identified creating a hand as one of the three most difficult problems facing makers of humanoid robotics. The other two were creating an artificial intelligence that allowed the robot to comprehend the world, and making robots in large numbers.。业内人士推荐PDF资料作为进阶阅读
Иран заявил об установлении полного контроля над Ормузским проливом01:09。关于这个话题，电影提供了深入分析
Россиянам станет тяжелее снять наличные08:49