• @stevedidwhat_infosec
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    14 months ago
    1. Sure.
    2. I make shit for other people all the time for free. Stop generalizing a global population based on capitalist assumptions. Even if you were trying to be a business person with your work, you’d charge what people are willing to pay and at a price that holds demand. Which would probably mean cheaper than an artist. (And if you really wanna talk about prices let’s talk about regular art prices and how subjective that is…)
    • @AVincentInSpace@pawb.social
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      4 months ago

      Was the price the art sells for seriously the only part of my argument you could find a problem with? If so, that says a lot about yours.

      • @stevedidwhat_infosec
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        14 months ago

        Considering I responded to your three comments?? No, it wasn’t but good try at trying to insult me lmao.

        At least I can pay attention who I’m talking to in a thread if you wanna start throwing stones 😂

        • @AVincentInSpace@pawb.social
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          4 months ago

          Why would my unrelated attempts to explain why people would see AI art as valuable, or explain that there is only one computer in the world right now powerful enough to run Midjourney (and no, the much-less-capable local models don’t count) matter to this discussion at all?

          State your counterargument to my claim that AI art serves no purpose other than to let people who don’t want to put in the effort to get good at art “create” art by stealing art from other people, or admit that you have none.

          • @stevedidwhat_infosec
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            4 months ago

            You’re purposefully downplaying and over simplifying what AI models do. I’m not going to continue arguing with someone who can’t debate fairly.

            Learning models don’t fucking collage shit. That’s not how the tech works.

            I’m not going to debate this shit with someone who’s this blatant with their bad faith argumentation as you are being, good bye.

            Anyone else wants to actually discuss or learn more about the tech in a civil way, lmk.

            • @AVincentInSpace@pawb.social
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              4 months ago

              I know perfectly well how the tech works. It’s given a bunch of images and randomly rolls dice to generate weights until it can generate things that approximate its training data, then continues in that general direction using a hill climbing algorithm to approximate that data as closely as possible. Every output of a generative neural network is a combination of random noise and a pattern of pixels that appeared in its training data (possibly across several input images, but that appeared nonetheless). You cannot get something out that did not, at some point, go in. Legally speaking, that makes them a collage tool.

              I ask again: do you have an argument or are you going to continue to make appeals to ignorance against mine?