@dang @tomhow

My understanding is that HN has started incorporating AI tooling in the back-end to scan for LLM-generated submissions and source content, in an effort to discourage it and encourage human-made content (with human discussions, one would hope). Why do we keep having these kinds of articles every day? Entire "apps" are generated - see the lighthouse one - and submitted, and are plain-as-day LLM-generated nonsense.

Anyway, flagged.

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bityard an hour ago | parent | next [-]

I was about to argue with you, but I now believe this article (and indeed the whole blog) is AI-generated. Here's my evidence:

* All the posts are walls of text. In many of the posts, all of the paragraphs are just about exactly the same length.

* None of the posts contain personal stories, experiences, or anecdotes.

* All of the posts are hyper-focused around advocacy of "old tech" and decentralization. Which is great, but real blogs with this many posts have at least _some_ variation in subject matter and quality. This one's surprisingly uniform.

* The blog is relatively new, posts began about two months ago and there are 17 posts, that's a little over 2 posts a week. Sure, there are bloggers who post that often, sometimes daily, but they are usually much shorter posts, tend to be shorter, or do it for their job.

* The picture of the author on the About page is very obviously AI generated.

* The author has a GitHub account that had virtually no activity until March of this year, and basically all of the commits were co-authored by Claude.

To be clear, I'm sure a real human is behind the site/posts (as opposed to a fully autonomous agent), but I'd bet dollars to donuts that each article started out its life as a very short prompt.

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sillysaurusx 2 hours ago | parent | prev | next [-]

Where did you get that understanding from? I might have missed something. They penalize LLM comments. Do they also penalize submissions? Any evidence of that?

	▲	FLeXMurphy 2 hours ago \| parent [-]
		dang mentioned it in passing some weeks back (going off of memory). Also please publish new NoH/Kongor build.

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sthatipamala 2 hours ago | parent | prev | next [-]

I skimmed this whole article and didn't see any classic LLM tells about it. Why do you think it is LLM generated?

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tux3 2 hours ago | parent | next [-]

The recently released models have improved their writing styles. I don't know about this article, but if that's any indication of their writing habits, the author's github pages repo is full of posts generated by Claude.

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pixl97 2 hours ago | parent [-]

Here's the thing, HN'ers have detected 200 of the last 10 AI written articles posted. We really seem to suck at it.

Worse the tools for detecting it have an insane false detection rate. ESL = FP. Good writer = FP. Garbage human slop writer = A'ok.

	▲	tux3 an hour ago \| parent [-]
		Detection tools in general have a bad selectivity and sensitivity, but there's consensus that Pangram is generally accurate and reliable. I don't use these tools much, but that's the word among people I trust, and that's what I see when I try it. And, well, neither of us really knows the ground truth. Maybe the guy who has a repo filled with articles co-authored by Claude is actually not posting slop this time and HN users are wrong and Pangram flagging it is just a false positive. But I can't blame anyone for being tired of giving this the benefit of the doubt. I'm ESL. The mistakes I make are part of what makes me human. If HN'ers are having an allergic reaction at the first hint of slop, it's because we've been drowning in it for months.

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gwbas1c 2 hours ago | parent | prev | next [-]

IMO, the article is well-written.

The author's picture clearly has an LLM-generated background, (and is a little tacky, IMO.) That being said, I wouldn't dismiss an article merely because someone used an LLM while setting up their blog.

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loup-vaillant 2 hours ago | parent | prev [-]

The whole structure had a faint smell to it. It's hard to put into word, there was no obvious "it's not the quiet part. It's the load bearing bedrock", but the way the thing flowed made me strongly suspect LLM involvement.

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comradesmith an hour ago | parent [-]

First we had AI psychosis, now we have AI schizophrenia

	▲	loup-vaillant 2 minutes ago \| parent [-]
		Well, I could be wrong, and it wouldn't be the first time. Besides, some of those "tells" are actually good tricks, when used sparingly enough. And we humans are picking up on them, making us sound a bit more like a chat bot than we used to. In the end we can't even tell what's what, it's exhausting.

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john_strinlai 3 hours ago | parent | prev | next [-]

they don't get @ mentions, you're better off emailing hn@ycombinator.com

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grebc 2 hours ago | parent | prev | next [-]

I think you’ve posted on an unrelated topic.

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FLeXMurphy 2 hours ago | parent [-]

No, this is the right article.

	▲	grebc 2 hours ago \| parent [-]
		Doesn’t read like AI. Even has a simple an/a mistake that I doubt a chatbot is going to make.

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thuruv 3 hours ago | parent | prev | next [-]

perused the posts and incidentally all are touching high-octane topics, posted only recently but surely warrants discussion/disputes, clearly an evidence of karma farming!

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beej71 2 hours ago | parent | prev [-]

The is real is real.

	▲	FLeXMurphy 2 hours ago \| parent [-]
		It is littered with little tells like that.