• @SuddenlyBlowGreen@lemmy.world
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    9 months ago

    AI produces images all the time of things that aren’t in its training set.

    AI models learn statistical connections from the data it’s provided. It’s going to see connections we can’t, but it’s not going to create things that are not connected to its training data. The closer the connection, the better the result.

    It’s a pretty easy conclusion from that that CSAM material will be used to train such models, and since training requires lots of data, and new data to create different and better models…

    • @BetaDoggo_@lemmy.world
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      39 months ago

      Real material is being used to train some models, but sugesting that it will encourage the creation of more “data” is silly. The amount required to finetune a model is tiny compared to the amount that is already known to exist. Just like how regular models haven’t driven people to create even more data to train on.

      • @SuddenlyBlowGreen@lemmy.world
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        29 months ago

        Just like how regular models haven’t driven people to create even more data to train on.

        It has driven companies to try to get access to more data people generate to train the models on.

        Like chatGPT on copyrighted books, or google on emails, docs, etc.

        • @BetaDoggo_@lemmy.world
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          29 months ago

          And what does that have to do with the production of csam? In the example given the data already existed, they’ve just been more aggressive about collecting it.

          • @SuddenlyBlowGreen@lemmy.world
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            19 months ago

            Well now in addition to regular pedos consuming CSAM, now there are the additional consumers of people to use huge datasets of them to train models.

            If there is an increase in demand, the supply will increase as well.

            • @BetaDoggo_@lemmy.world
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              29 months ago

              Not necessarily. The same images would be consumed by both groups, there’s no need for new data. This is exactly what artists are afraid of. Image generation increases supply dramatically without increasing demand. The amount of data required is also pretty negligible. Maybe a few thousand images.