For one month beginning on October 5, I ran an experiment: Every day, I asked ChatGPT 5 (more precisely, its “Extended Thinking” version) to find an error in “Today’s featured article”. In 28 of these 31 featured articles (90%), ChatGPT identified what I considered a valid error, often several. I have so far corrected 35 such errors.
Which LLMs are incapable of citing sources?
To quote ChatGPT:
“Large Language Models (LLMs) like ChatGPT cannot accurately cite sources because they do not have access to the internet and often generate fabricated references. This limitation is common across many LLMs, making them unreliable for tasks that require precise source citation.”
It also mentions Claude. Without a cite, of course.
Reliable information must be provided by a source with a reputation for accuracy … trustworthy. Else it’s little more than a rumor. Of course, to reveal a source is to reveal having read that source … which might leave the provider open to a copyright lawsuit.
All of them. If you’re seeing sources cited, it means it’s a RAG (LLM with extra bits). The extra bits make a big difference as it means the response is limited to a select few points of reference and isn’t comparing all known knowledge on a subject matter.