tl;dr: When 13 AI models from 10 labs were each asked three times for their most controversial take on humans, 32 of 38 answers converged on the same idea: humans prioritize tribal belonging and social status over truth, and rationalize beliefs after the fact. Image models, by contrast, converged on a different cliché—humans as phone-addicted consumers destroying the planet. The author concludes that because models train on overlapping data, they collapse toward the same answers, limiting their usefulness for brainstorming diverse ideas.