NGL I was thinking the same thing. That 700+ dimensional latent space is a powerhouse. Bryan Catanzaro, Vice President of Applied Deep Learning Research at Nvidia, talks a bit about this.
What about LLMs that are taking over or helping with jobs that require sorting and organizing complicated data, and they do it fast, 24/7, and with just enough accuracy. They’re not flawless, but they mess up less than poorly trained and high turnover staff.
It'ls less like a bear and more like a camera that that can navigate the multidimensional latent space filled with concepts that can give rise to novel art. In the real world you can up, down, left, right, in or out, but in a latent space not only can you go those places, you can go to where Muppets meets impasto.
There's also a spectrum depending on what tool you're using and your level of involvement, but most people tend to assume and lump everything together into the same category. I know with web based interfaces wit can be slow and cumbersome to iterate, but with open source models based on Stable Diffusion you get a lot of freedom. That's mostly what I base my knowledge off.
As long as there's a human to set parameters, iterate, correct, generate, and evaluate, I don't think there's any question as to who made it. Just like an image from nature doesn't need to be a creator, only someone there to capture it.
Yeah, I can't imagine it's that different from playing a demanding game. I hear my video card fans spin up harder and sustain that speed for the duration of a play session.
Read posts aren't getting hidden like before.