Large language models validate misinformation, according to research

Research into large language models shows that they repeat conspiracy theories, harmful stereotypes, and other forms of misinformation. In a recent study, researchers at the University of Waterloo systematically tested an early version of ChatGPT's understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction. This was part of Waterloo researchers' efforts to investigate human-technology interactions and explore how to mitigate risks. They discovered that GPT-3 frequently made mistakes, contradicted itself within the course of a single answer, and repeated harmful misinformation. Though the study commenced shortly before ChatGPT was released, the researchers emphasize the continuing relevance of this research.