TBH given how derivative humans tend to be, with such a deeper "Human Learning" model and years and years of experiences.. i'm kinda shocked ML is even capable of even appearing non-derivative. Throw a child in a room, starve it of any interaction and somehow (lol) only feed it select images and then ask it to draw something.. i'd expect it to perform similarly. A contrived example, but i'm illustrating the depth of our experiences when compared to ML.
I half expect that the "next generation" of ML is fed by a larger dataset by many orders of magnitude more similarly matching our own. A video feed of years worth of data, simulating the complex inputs that Human Learning gets to benefit from. If/when that day comes i can't imagine we will seem that much more unique than ML.
I should be clear though; i am in no way defending how companies are using these products. I just don't agree that we're so unique in how we think, how we create, and if we're truly unique in any way shape or fashion. (Code, Input) => Output is all i think we are, i guess.
Anyone finding their own artistic voice with the tools, I respect that, those people are artists - but training with the aim to create derivative models, that should be called out.