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Comment by A_D_E_P_T

3 days ago

Out of curiosity, what are you basing this on?

The text has few of the obvious AI tells. The only thing that, to me, looks characteristic of LLM-generated text is the short and terse sentence structure, but this has been a "prestigious" way to write in English since Hemingway.

Sort of a taste receptor I’m sure many have developed now.

The most obvious patterns here are: antithesis constructions, words choices and distribution, attempt at profundity in every paragraph but instead are runs of text that doing say anything, and even the perfect use of compound hyphenation. I think and can appreciate that there is definitely an attempt at personalization and guidance to make it less LLM-y and not just a default prompt, but it’s still kind of obvious. You could use a detector tool too of course.

What are the obvious tells? List them, because I think our sense of the tells may not overlap.

This article is clearly LLM-generated, even the title. A key indicator is that it almost makes sense: we forgot how to manufacture because that got sent to a different nation. The coding thing isn’t getting sent anywhere, so humanity is forgetting how to code. The distinction undermines a lot of the emotional baggage about offshoring that the article wants you to bring along.

Blog posts aren't typically written like Hemingway.

Find some pre 2020 that are, and you'd have a point.

https://news.ycombinator.com/item?id=47806845) points out Staccato Burst, Dramatic Fragment, Colon Elaboration, and Short-Hook Paragraph. To me, those define the tone of this article.

  • Interesting tool.

    I'm not trying to defend the blog post, but I gave Slop Cop 775 words of an essay by Schopenhauer (translated into English) and got "15 patterns detected."

    I fear we're approaching the point where AI-written text grows indistinguishable from human-written text, unless the AI-user is exceptionally lazy and uses an obsolete model...