this post was submitted on 24 Jun 2024
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I have experience in running servers, but I would like to know if it's possible to do it, I just need a GPT 3.5 like private LLM running.

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[–] entropicdrift@lemmy.sdf.org 12 points 1 year ago (2 children)

I believe commercial LLMs have some kind of watermark when you apply AI for grammar and fixing in general, so I just need an AI to make these works undetectable with a private LLM.

That's not how it works, sorry.

[–] TheBigBrother@lemmy.world 0 points 1 year ago* (last edited 1 year ago) (2 children)

I was talking about that with a friend some days ago, and they made an experiment, they just made the AI correct punctuation errors of a text document, no words at all which you can easily add manually, and the anti-AI system target 99% AI made, I don't know how to explain that, maybe the text was AI generated also IDK or there is a watermark in some place, a pattern or something.

Edit: you point will be that there is no way to fool the anti-AI systems running a private LLM?

[–] entropicdrift@lemmy.sdf.org 7 points 1 year ago* (last edited 1 year ago) (2 children)

Just that they're no easier to use to fool an anti-AI system than using ChatGPT, Gemini, Bing, or Claude. Those AI detectors also give false positives on works made by humans. They're unreliable in the first place.

Basically, they're "boring text detectors" more than anything else.

[–] TheBigBrother@lemmy.world 0 points 1 year ago

I have a friend who is running a business of doing homework on demand, he is using AI to do the work, he got back a work because AI generated content was detected on it, he used to employ real people to do the work but anyway real people used AI too sometimes, so he knows I'm a "hacker" LMAO and asked me if I knew any way to fool the anti-AI systems, I thought about running a private LLM and training it with real human generated content like ebooks depending on the subject of the work, do you think it could be possible to fool these things with this method?

[–] al4s@feddit.de 3 points 1 year ago (2 children)

LLMs work by always predicting the next most likely token and LLM detection works by checking how often the next most likely token was chosen. You can tell the LLM to choose less likely tokens more often (turn up the heat parameter) but you will only get gibberish out if you do. So no, there is not.

[–] TheBigBrother@lemmy.world 0 points 1 year ago

What about if you train the AI with human generated content? For example e-books?