For example, non-native English speakers (as is the case with these guys IIRC) frequently use these tools. Maybe they shouldn't—as I've been telling a lot of people who email, mistakes are rapidly becoming a sign of authenticity at this point—but the belief that they need to is widespread, and this doesn't mean they didn't do significant work.
(Side note: it's a common assumption that machine-translated text is in a different category from LLM-edited text. From what we're seeing, that assumption is unfortunately completely wrong.)
Another important case is people with disabilities who find these technologies assistive. Again, one can argue that they're increasingly better off just posting their own writing in the raw, but this is a pretty obscure point to get across to people.
Beyond those cases, a lot of people just don't write easily, and/or don't feel their writing is any good. A lot of them are using LLMs to compensate for that, and this by no means implies that their work is bad. Maybe they just have a phobia about writing and/or don't express themselves well that way.
People who enjoy writing or are confident writers fail to understand how emotionally fraught writing is for many others.
Personally I'm down with the "writing is thinking" view, from which it follows that bad writing is bad thinking. But it doesn't follow that "thinking is writing" - that's a much stronger claim, from which it would follow that good thinking is good writing—and this I think is false.
If one doesn’t put effort in their writing, I am not going to put effort to read whatever slop they put out instead. Simple as that.
That may sound like too fine a distinction, but it isn't. Here's an example: Show HN: Getting GLM 5.2 running on my slow computer - https://news.ycombinator.com/item?id=48842459, which was the #1 thread on HN a couple days ago (https://news.ycombinator.com/front?day=2026-07-09).
That user is a non-native English speaker who helped get his posts into a format that HN could appreciate. His work is obviously excellent—the community response was unambiguous. But I don't think it would have made it through without our help.
I'm sure you weren't saying that if someone can't describe their work in good English then it must be slop, but the space is larger than you make it sound. Which is unfortunate in a way—it would be easier to narrow it down, but then we'd miss posts like that one.
Perhaps it was this: there are many non-native English speakers who have valuable things to contribute to HN, who don't yet have sufficient English or don't feel they do, and therefore resort to LLMs to do their English for them. Should they automatically be excluded?
If you mean the linked content: can come from anyone and anywhere--it's just whatever someone submits and is deemed good enough by The Algorithm to get attention. So that's not "HN content" - the content exists independently of HN. As for that, I'll repeat myself: the scientific community has managed somehow to intercommunicate for centuries despite language barriers before LLMs existed. (English was neither Einstein's nor Madame Curie's first language.) It's an existence proof that LLMs aren't needed to overcome those barriers.