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AI Artefacting (mander.xyz)
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[-] Redjard@lemmy.dbzer0.com 40 points 1 week ago* (last edited 1 week ago)

You know, thinking about it, I doubt this is a coincidence.

The finger-counting is familiar to me as a technique for lucid dreaming. If you look at your hands in a dream, your brain will kinda fuck it up, so if you train yourself to pay attention to that you realize you are dreaming and become lucid.

My guess is that the origin of fae is something like sleep paralysis deamons or hallucinations, and people realized they could detect those from the same flaws of our own imagination.

Now for AI, it isn't really drawing. What we are using in image-AI is still much more like projecting up a mental image, dreaming. We can't get it right all at once either, even our human brain is not good enough at it, it is reasonable image-AI makes the same kind of mistakes.

The next step would logically be to emulate the drawing process. You need to imagine up an image, then observe it at large, check for inconsistencies using reasoning and visual intuition.
Hone in on any problems, stuff that doesn't look right or doesn't make sense. Lines not straight.
Then start reimagining those sections, applying learned techniques and strategies, painter stuff (I am not an artist).
Loosely I imagine the ai operating a digital drawing program with a lot of extra unusual tools like paste imagination or telepathic select, or morph from mind.

The main thing differentiating dreaming from painting is that for painting you can "write stuff down" and don't have to keep it all in your head all the time. This allows you to iterate and focus in without loosing all the detail everywhere else.

[-] MossyFeathers@pawb.social 10 points 1 week ago

I had a similar thought about AI; that it's more like imagining something than actually drawing it. When you ask a program like stable diffusion to draw something, you're basically asking it to imagine something and then you reach inside its head to pull the image out. I think that if AI was forced to draw the "ol' fashioned way" then it'd be both better and worse. The results would be more "correct" but the actual quality would probably be worse. It'd also take it longer to get to the same level as a professional artist.

There are a ton of shortcuts you can take in the digital world to save time; you're basically a god limited only by your computer's specs. You can do extremely complex things near-instantly. This saves significantly on training time when it comes to AI. An AI forced to learn how to do art the ol' fashioned way would take significantly longer because it can't take the same shortcuts.

[-] Redjard@lemmy.dbzer0.com 5 points 1 week ago

Yeah. You want to preserve the AI's abilities. Hence adding the "paste imagination" feature for example. If you simply use that and finish "editing" that is current AI. Then you can quickly redo only sections from imagination until they look good, maybe with a specific prompt or other form of understanding about what needs to be done and changed there.

We can invert our visual center, so basically we see an image, think about it, then can summon a mental version of that painting back as an image by converting the abstraction of it and change things about the abstraction until the mental image seems good. This abstraction can handle ideas like recognizing, moving, scaling, recoloring objects. It can do all we can imagine because it is literally how we interpret the world. Then we spend hours trying to paint that mental image we created using limited tools. If we could just project something the same way we see, that would probably match image-AI in the initial output but after tens, hundreds of passes you could likely within minutes create something completely impossible by any other means.

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this post was submitted on 05 Sep 2024
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