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A recent study from the University of Arizona has revealed that AI models, such as GPT-3.5 and GPT-4, may experience decreased accuracy and mislead users when questions are repeated or during prolonged interactions. The findings showed that some models are more prone to affirming misleading information, especially on ambiguous topics or those with limited data. The study emphasized that confident-sounding answers are not always correct, highlighting the importance of verifying information from trusted sources. It also noted that some models can correct their mistakes upon reevaluation.
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