Why are large language models so gullible?

In the article 'Why Are LLMs So Gullible', the author explores the issues with language models that often fall prey to misinformation. It describes the phenomenon where these models make conclusions based on incomplete or incorrect training data. The author points out that LLMs, or large language models, lack critical thinking skills and the ability to fact-check information, which makes them particularly susceptible to misinformation. This problem becomes even more significant given their increasingly widespread use in society. Understanding the reasons behind this gullibility is crucial for the future development of artificial intelligence and the necessary regulations surrounding its use.