Humans aren't very diligent in the long term. If an LLM does something correctly enough times in a row (or close enough), humans are likely to stop checking its work throughly enough.

This isn't exactly a new problem we do it with any bit of new software/hardware, not just LLMs. We check its work when it's new, and then tend to trust it over time as it proves itself.

But it seems to be hitting us worse with LLMs, as they are less consistent than previous software. And LLM hallucinations are partially dangerous, because they are often plausible enough to pass the sniff test. We just aren't used to handling something this unpredictable.

The kind of people to use LLM to write news article for them tend not to be the people who care about mundane things like reading sources or ensuring what they write has any resemblance to the truth.

The problem is that the LLM's sources can be LLM generated. I was looking up some health question and tried clicking to see the source for one of the LLMs claim. The source was a blog post that contained an obvious hallucination or false elaboration.

The source would just be the article, which the Ars author used an LLM to avoid reading in the first place.