That’s a very interesting insight. Maybe the amount of hallucination depends on whether the “knowledge” was loaded in form of a prompt vs training data? In the experience I’m talking about there’s no hallucination at all, but there are wrong conclusions and hypotheses sometimes, especially with really tricky bugs. But that’s normal, the really tricky edge cases is probably not something I’d expect to find on SO anyway…

I can only speak for myself obviously, and my context here is some very recent and very extensive experience of applying AI to some new software developed internally in the org where I participate. So far, AI eliminated any need for any kind of assistance with understanding and it was definitely not trained on this particular software, obviously. Hard to imagine why I’d ever go to SO to ask questions about this software, even if I could. And if it works so well on such a tiny edge case, I can’t imagine it will do a bad job on something used at scale.

I don’t think so. All AI needs now is formal specs of some technical subject, not even human readable docs, let alone translations to other languages. In some ways, this is really beautiful.