While this is slightly more catered towards a technical audience, I think articles on relatable subjects like this one could prove valuable in getting non-technical people to understand the limitations of LLMs, or what companies are calling "AI" these days. A version of this article that is more focused on real-world examples, showing exactly how the models can make mistakes and present the wrong or incomplete information with less technical focus would probably better cater to a non-technical audience.