I don't think "generally don't hallucinate" and "it's usually for other reasons" are implying a total fix. From what I've seen, it is true that these errors stemmed from uncritically accepting satire/unreliable sources rather than hallucinations.
> It's missing the entire point. "Um akshually the LLM didn't hallucinate, we simply gave it Reddit user Fucksmith's post which it confidently restated as truth" (or indeed, the much funnier, "we gave it The Onion, which it confidently restated as truth") is functionally the same as a hallucination to the end user. The mechanism here does not matter.
When you can check the provided source it's summarising and see that it's a satire website, I think that's materially different than ChatGPT's hallucinations from thin air.
It is still an issue, and if the post was just deflecting by saying "it's not typical hallucination so it doesn't matter" then I'd agree that'd be insufficient, but it seems totally fine to clarify that it's a different issue and go on to describe how they're working on fixing that issue.
> "Rare" hallucinations are unacceptable on a tool used billions of times a day
I don't think 100.0% accuracy is a reasonable bar for anything, including humans. My benchmark would be roughly "people come away with the correct information the same or more often as they did before, with features like highlighted snippets".