41–50 of 500 posts
A simple beneficial step that would lead to modest improvements and little downside: partner with Pangram. Either adding it as an automated spam filter, or by simply attaching the detection % to all posts.
We don't have a similar rule yet about article content but my sense is that the community mostly doesn't want to read it—or, to put it more conservatively, discounts it. This is why we see so many "just show me the prompt" responses, along with others like this: https://news.ycombinator.com/genai-pushback. I built that list so I have something to send to users who email about why their genai articles got flagged.
It's a fascinating arms race right now: the AIs are training on the humans but the human hivemind is also training on the AIs. Readers are developing allergic sensitivities to language that sounds like an LLM produced it. The AIs will adapt to this, but the humans will adapt in turn. Where it ends up is anyone's guess.
For the present, there is an emerging class distinction between writing (and writers) that use genai vs. writing that does not. As soon as the "this sounds like an LLM" allergy kicks in, the writing instantly gets relegated to a low-status bucket in the reader's mind. That doesn't mean it won't still get looked at - but it is now under a stigma.
(I was rather pleased with the originality of this until I remembered pg had come up with "writes and write-nots" in https://paulgraham.com/writes.html. Oh well, it's the point that matters.)
This has the happy flipside that anyone who would like readers to classify their article as high-status rather than low-status can apply the judo move of simply writing it themselves.
Now I need to add the disclaimer that none of this is a dismissal of LLM technology per se. We rely on it heavily, and there's no question that it's useful. The question is how to use it (pg again: https://x.com/paulg/status/2058871512451412457) and whether one should use it on writing that one publishes to other humans.
To turn to OP's questions:
> Should HN add the ability to flag articles as AI-generated? [...] it could just show up as an indicator
Flagging-as-just-an-indicator would be tagging, which we've always resisted adding to HN, but I wouldn't rule it out.
What I do think we'll (finally) add is a "please give a reason why you flagged this post" step, and "because I think it's genai" will be one choice among several (spam, offtopic, mean, etc.)
> Why is the regular voting system not enough?
The regular voting system is never enough. https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...
> Should HN change in response to the gen AI era?
To this I am tempted to reply with https://news.ycombinator.com/item?id=48887149 in homage to https://news.ycombinator.com/item?id=3742902.
This is something that works better on paper in practice. Namely, there are a hell of a lot of false positives of AI use which frequently causes shitstorms on social media where someone says "AI?" in bad faith and now the OP has to defend themselves and in the case of writing a blog post there aren't as concrete ways to defend yourself. (no, demanding the edit history of the post is not reasonable) Hacker News adopti…
https://github.com/alvi-se/ai-ublock-blacklist
The recent rule addition to the Guidelines says this: "Don't post generated text or AI-edited text. HN is for conversation between humans." And I think that covers comments, but I'd be happy to see it also cover articles that are blatantly and primarily if not exclusively AI-generated. But how much AI is permitted? For instance: I'm writing a blog post now. It's all mine. If I include an AI-generated cartoon at the e…
The regular voting system is not enough because posts can't be downvoted and for some reason many people are not bothered by the notion of reading something no one bothered to write. The issue is complicated by the fact that there can be substantial effort invested in a process outside of the writing itself - and so AI written does not guarantee that the content will not valuable. But I'm inclined to punish it anyway…
Humans? We're not particularly effective at this as a whole...
AI service ? We'd probably have to pay for that AI to detect that AI and well.. Its also not particularly effective
Effectiveness is important, because we dont want real human produced data to be accidentally removed from view, just as much if not more so than having AI gen data being left on the site.
Earlier quoted context omitted.
Why do we need anything more than good/bad? If there is a great post on a topic and the author used AI when generating it, what’s so bad about that?
Different people weight the slop factor differently, which is the main source of pain at the moment. (For example, another top-level comment in this thread suggests banning AI-generated content outright)
I think the era of the blog is simply dead now and that’s mostly ok. Blogspam and corporate blogs had killed quality bogs ages ago even before AI was a thing. The real question is what replaces it.
Oh and of course the $64k question is this: if an AI generated article is indistinguishable from a human written article and it is accurate and interesting, do you care who wrote it? We want to avoid low quality, not AI generation, right?
Considering YC invests in AI I doubt you’ll get anything of the sort. Too many people here also think you just have to give in and accept (abuser mentality IMO).
[flagged]
AI could provided assistance with building both cars and software, but you still need a decent level of knowledge in either field to get a good result.
This is something that works better on paper in practice. Namely, there are a hell of a lot of false positives of AI use which frequently causes shitstorms on social media where someone says "AI?" in bad faith and now the OP has to defend themselves and in the case of writing a blog post there aren't as concrete ways to defend yourself. (no, demanding the edit history of the post is not reasonable) Hacker News adopti…
uBlock Origin users already filter a large portion of "AI" slop sites. Saves a lot of time when searching for something specific. =3 https://github.com/alvi-se/ai-ublock-blacklist https://github.com/laylavish/uBlockOrigin-HUGE-AI-Blocklist https://github.com/Stevoisiak/Stevos-AI-Blocklist/
That's a good example of the exact problem with such a broad stroke rule.