An 8-billion-parameter LLM debating in groups can lose to a wrong answer even when 75% of agents start out correct, and math predicting when consensus flips got it wrong every time. The real culprit: how a claim is worded biases each model's verdict before it reads a single message.

— via arXiv — Physics, Makoto Fukushima