Very interesting! How does it work?

It puts every comment into that GPT output detector and colors and writes a short comment on the HN comment, like you see in the screenshot based on a threshold. >0.7 is probably AI, >0.9 is definitely AI. Lower than that is most likely human. Most comments still appear to be human.

It only becomes reliable after about 50 tokens (one token is around 4 characters) so I mark the comments that are too short with gray and make no assessment on those.

I've put it on https://github.com/chryzsh/GPTCommentDetector

I see. My question of how it works was more about the method you were using to identify content as something written by an AI, but from what I saw on your repo, you rely on a set of GPT-specific configurations that identify a percentage of similarity to the content being analyzed?

Like desrcibed in the repo, I just feed it to the GPT output detector. I didn't write that tool, but from my understanding they trained a GPT model to recognize itself.

Okay cool, I had heard the same kind of AI training during the release of DALL.E 2 where one of the AI was dedicated to the generation of the image and another AI which checked if the generated image corresponded to an AI or not.

+1 star for this repo btw

Thank you https://github.com/chryzsh/GPTCommentDetector

With pleasure, we are also working on an open-source project (called Luos engine). Receiving support just by clicking on a star is a quick click for a big effect.