Do large language models (LLM) understand what they are writing about?

The article from the Stack Overflow blog discusses the capabilities of large language models, particularly in the context of their understanding and interpretation. The author raises questions about whether these models truly 'understand' the content they generate and whether they can be trusted to provide reliable information. As this technology evolves, it becomes crucial to consider how these models synthesize knowledge and what limitations they have. The article also highlights instances where language models can err or mislead, which is an important point for developers and researchers to consider. Given the increasing prevalence of these solutions, understanding both their potential and the risks associated with them is key.