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Message: <blockquote data-quote="Umbran" data-source="post: 9089764" data-attributes="member: 177">So, I am not an expert on generative AI, but I've read up a bit because this is culturally relevant, and some of my early doctoral research was on training neural networks[sup]1[/sup]..  Actual software engineers feel free to correct me.How do Generative AIs work?  Here's, broadly and generically, how:1) Assemble a training set of data - generally, a bunch of actual examples that you want the AI to simulate.  Usually a very large bunch, if you want good results.  You also include metadata - with the actual Frazetta works you include in the training data, you tag them as being by Frazetta, or in Frazetta's style.  You might also tag them as being fantasy, containing dragons, Conan, barbarians, axes, etc.2) Train the AI - there are a bunch of ways to do this, but we can use one simple method to demonstrate some of the activity - you present the system with the entire set of tags, and one example from the training set, and ask the machine to guess what tags apply to the example.  If the system guesses right, parts of the algorithm that are responsible for that guess are strengthened.  If it guesses wrong, the parts of the algorithm are weakened.  In either case, it updates a "reference dataset" with the example, associated with the right tags, for later.Lather, rinse, repeat.  Each repeat alters its algorithm, and the reference set, to maximize its ability to answer correctly.3) Then, to use the generative AI, you reverse the process.  You hand it a collection of tags (the description of what you want it to produce), and it spits out a collection of stuff from its reference set that the algorithm says matches those tags. So, since Frazetta signed all his work, that signature appears in every example of his work presented, so his signature is strongly associated with the tag of his name.  The AI will often spit that out as an element in a query to give his style - for the machine, his "style" includes his signature, you see.Thus - assembling the training data is an act that likely violates copyright for prose or visual art generative AIs, because you make a digital copy not for personal use to make that set.  Then, also the reference set will still retain snippets of the original data, like Frazetta's signature, which will also violate copyright in much the same way as song-sampling can infringe on a musician's copyright.[sup]1[/sup] I was working on training a neural network to simulate high energy particle physics events.  My datasets were publicly available data from high energy particle accellerators/colliders.  No sketchy source data for me!</blockquote>

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