Large language models (LLMs) may not reliably acknowledge a user’s incorrect beliefs, according to a new paper published in Nature Machine Intelligence. The findings highlight the need for careful use of LLM outputs in high-stakes decisions in areas such as medicine, law, and science, particularly when belief or opinions are contrasted with facts.
Large language models still struggle to tell fact from opinion, analysis finds
