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Google open-sourced its watermarking tool for AI-generated text (www.theverge.com)

submitted 5 months ago by BrikoX@lemmy.zip to c/opensource@programming.dev

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It’s available via Google’s Responsible Generative AI Toolkit.

Repo: https://github.com/google-deepmind/synthid-text

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[+] sam@feddit.org 5 points 5 months ago* (last edited 4 months ago) (3 children)

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[–] RonSijm@programming.dev 5 points 5 months ago (1 children)

It gives an example:

For example, with the phrase “My favorite tropical fruits are __.” The LLM might start completing the sentence with the tokens “mango,” “lychee,” “papaya,” or “durian,” and each token is given a probability score. When there’s a range of different tokens to choose from, SynthID can adjust the probability score of each predicted token, in cases where it won’t compromise the quality, accuracy and creativity of the output.

So I suppose with a larger text, if all lists of things are "LLM Sorted", it's an indicator.

That's probably not the only thing, if it can detect a bunch of these indicators, there's a higher likelihood it's LLM text

[–] wolfyvegan@slrpnk.net 1 points 1 day ago

Lychee can grow at tropical latitudes, but it needs hot (rainier) summers and (drier) winters w/ 50-150 hours at 0-12°C in order to fruit well, so it's more of a subtropical fruit.

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