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I also have the impression that the writing was at least "enhanced" with an LLM. For example, the amount of " - " dashes (over 60) is much higher than in a norm
by cubefox 7mo ago
I also have the impression that the writing was at least "enhanced" with an LLM. For example, the amount of " - " dashes (over 60) is much higher than in a normal text.
By the way, I consider it a pretty disgraceful defect of HN that people routinely "flag" opinions merely because they disagree. The flag is for spam, not for downvoting.
- ChadNauseam 7mo agoHaha. But I guess it proves my assertion that "we can still tell" was wrong. Scary to think about the future though. Soon less RLHF'd models will be available, and it won't be so easy to recognize their tells. I don't think the whole post was written by an LLM in one prompt and I'm sure it was actually a lot of work to write, but yeah, it was definitely enhanced by one. It reminds me of how peer review is supposed to be blind, but certain authors like Simon Peyton Jones have such a distinctive voice that surely reviewers instantly know when a paper is by him. The models have been successfully made to talk in a particular way, and it's very clear once you becomes familiar with it. My guess is that most HN users are not familiar and I just sound like a crazy person to them The author admitted it in another comment anyway https://news.ycombinator.com/item?id=47494833 https://news.ycombinator.com/item?id=47494833