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SaveTheTuaHawk@lemmy.ca ⁨3⁩ ⁨days⁩ ago

• NateNate60@lemmy.world ⁨3⁩ ⁨days⁩ ago

  This is why invisible watermarking of AI-generated content is likely to be so effective. Even primitive watermarks like file metadata. It’s not hard for anyone with technical knowledge to remove, but the thing with AI-generated content is that anyone who dishonestly uses it when they are not supposed to is probably also too lazy to go through the motions of removing the watermarking.

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  • SaveTheTuaHawk@lemmy.ca ⁨3⁩ ⁨days⁩ ago

    if you are going to do all that, just do the research and learn something.

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    • NateNate60@lemmy.world ⁨3⁩ ⁨days⁩ ago

      Aye that’s exactly the same thing that I said

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  • DharmaCurious@startrek.website ⁨3⁩ ⁨days⁩ ago

    Couldn’t students just generate a paper with ChatGPT, open two windows wide by side and then type it out in a word document?

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    • SaveTheTuaHawk@lemmy.ca ⁨3⁩ ⁨days⁩ ago

      but that’s work.

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    • NateNate60@lemmy.world ⁨3⁩ ⁨days⁩ ago

      Students view doing that as basically the same amount of work as writing the paper yourself

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    • chaospatterns@lemmy.world ⁨3⁩ ⁨days⁩ ago

      Depends on the watermark method used. Some people talk about watermarking by subtly adjusting the words used. Like if there’s 5 synonyms and you pick the 1st synonym, next word you pick the 3rd synonym. To check the watermark you have to access to the model and probabilities to see if it matches that. The tricky part about this is that the model can change and so can the probabilities and other things I don’t fully understand.

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    • MangoCats@feddit.it ⁨2⁩ ⁨days⁩ ago

      I think I’d at least use an OCR program to do the bulk of the typing for me…

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• JustTesting@lemmy.hogru.ch ⁨3⁩ ⁨days⁩ ago

  Huh that actually does sound like a good use-case of LLMs. Making it easier to weed out cheaters.

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