A study examining how large language models (LLMs) respond to misinformation found that when the same false statement was repeated over and over within a conversation, the models affirmed it in between 0.08% and 12.3% of their responses, depending on the model. Some models oscillated unpredictably between accepting and rejecting the same false statement across successive exchanges. Most models corrected their own false statements when given a second look, but the model with the fewest…