Why? It's the same concept and root cause it was when we first started using it.

Hallucination is accurate for what I'm seeing -- e.g. it's making up information about the 2nd gen Toyota Tundra that has no basis in reality. When challenged, it corrects itself.

What do we use for the “model made stuff up and claimed it as facts”? I can see hallucinations somehow anthropomorphizing LLM even more. I don’t like that we’re doing that to begin with but it’s a losing battle. I prefer “it’s broken” and “IT produced shit results” personally.

They still happen.

there are many dated expressions, including

- AI is just a tool, like excel; it does what the human operating it tells it to

- next token prediction cannot be true understanding

- models can have no desires and goals, don't anthropomorphize it

However, "hallucination" is very much not one of them