Comment by 0x69420 | Hacker News Reader

Comment by 0x69420 | Hacker News Reader

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...really? for my part, after a few paragraphs i felt in my bones that i was reading undisclosed llm output and noped out of evaluating the entire thing any further.

but also the fact that yours is the most upvoted comment tells me there are entire swathes of people for whom that style works, and i am interested to get in people's heads about that, because it might yield some insight re: for what kind of audience these labs are optimising the style of text these models generate. so, if someone is reading this comment, and you broadly agree with the comment i am replying to, please answer these questions:

1. is english your native language?

2. what about the prose do you find appealing?

3. do you not find the structure (colossal wall of text, infodumping about largely irrelevant details) annoying/noisy?

4. does the word-to-word style and clichéd phrasing not immediately set off your llm alarm bells?

i guess people can answer if they disagree too, if they really want to

I liked the README, or what I read of it.

1. English is my native language.

2. The organization was to the point (eg it described what this is and who would use it up front). I can't say I found the prose "appealing" -- about the best I can say is that it was so obviously LLM writing that it implicitly told me that this is most likely a large mostly unattended porting project, which helped me set my expectations accordingly. Note that this is also why I stopped after getting a good feel for what it all is; the project would be interesting if I had a need to make something with that exact style of UI, but otherwise there wasn't going to be some shiny new idea or brilliant perspective that I could apply more widely.

3. Partly. It was a wall, but not that impenetrable a wall. There's plenty worse, and it was broken up enough for me to get through. Things were signposted well enough for me to skip a lot of what wasn't relevant to me.

4. Oh, absolutely. See above.

I'm finally growing the ability to extract value even after detecting that text is in the en-SLOP locale. Originally I couldn't detect it, then I could and couldn't tolerate it, now I'm starting to be able to treat it like broken English or caveman speak. I have to work to extract value, albeit a different type of work than those two.

It's mostly about suppressing my reactivity to the choppy phrasing and braggadocio (which are both the results of reinforcement training to elicit exactly the sort of reaction that I'm suppressing).

I could tell within a few sentences that it was naked slop, and I was grateful to be able to nope out rapidly, without missing anything.

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