AI Model Groupthink
Summary
The article discusses how asking many AI models to provide their independent top-3 opinions reveals patterns of consensus and contrarianism across models and regions. It presents findings suggesting Chinese models tend to align with the global consensus more often, and explores potential explanations like distillation, cross-sharing, and English-language bias, while noting caveats about dataset size and panel composition.