It's not just that the input data is crap. Mostly the issue is that an LLM is a glorified autocomplete. The core of the technology is making grammatically correct sentences. It has no concept of facts or logic. Any impression that it does is just an illusion borne of the word probabilities baked in.

LLMs are a remarkable example of brute-forcing a solution to a problem, but it's this same brute force that makes me doubt it'll ever reach the next level.

As someone that works in AI, most of what Lemmy writes about LLM's is hilariously wrong. This, however, is very right, and what amazes me is that every big tech company had made this realisation - yet doesn't give a fuck. Pre-LLM's, we knew that manual patching and intervention wasn't a scalable solution, and we knew that LLM's were prone to hallucinations, but ChatGPT showed companies that people often don't care if the answer is wrong. Fuck it, let's just patch this shit as we go...

But when this shit happens, oh boy, do I feel for the poor engineers and scientists on-call that need to fix this shit regularly...

And name it "Deckard" for maximum concentrated cringe