I don't think highlighting one mistake is enough, when these can sometimes have more mistakes than corrects. I've found use for LLMs (in large part thanks to your teaching) in cases where I can easily verify the results fully like code and process documentation, but tasks where "fact-checking everything" would be too much work are very much on the danger zone for getting accidentally scammed by AI.

No result is better than misinformation.