"The research reveals that LLMs can be overconfident in their own answers yet quickly lose that confidence and change their minds when presented with a counterargument, even if the counterargument is incorrect. Understanding the nuances of this behavior can have direct consequences on how you build LLM applications, especially conversational interfaces that span several turns."
https://venturebeat.com/ai/google-study-shows-llms-abandon-correct-answers-under-pressure-threatening-multi-turn-ai-systems




