Why A.I. Isn't Going to Make Art

I think the unique point to ML tools is the sheer volume that, IMHO, vastly outpaces 90%. And I think that's partially down to the fact that image generators are themselves, by their existence, low-effort easy-to-use tools to create images. It's not as though there wasn't already a vast and comprehensive existing tool-set for aspiring artists, even ones with not a penny to their name, to use. Tons of open source art programs exist, and if you are ready to jump to paying for your tools, you have an incredibly diverse set of options over all manner of capabilities, price points, and focuses. The notion that these tools "democratize" art has been silly to me from the beginning; there were already tons of tools available to anyone who wanted to learn the skills to use them. These tools, instead, seem directly aimed at people who don't want to learn those skills, and like... unskilled artisans don't make good things. Sorry not sorry. If you lack the interest in the subject to learn the skills of how to make a thing, you probably also lack the interest to learn what constitutes a good version of that thing, and even if your AI is very well made, you won't know what to really ask it for. Which I think is the reason behind so many prompts including stuff like "octane render, unreal engine, featured on artstation."

So while yes I agree in principle that Sturgeon's law is definitely at work here, I think it's important to note that the tools themselves are largely just... not really going to fit into a creative's workflow who has the skills already, not even just the literal skill to put a pencil to paper, but the skill to know what a good version of whatever they want would look like. It's the same reason I don't really use copilot all that much, because it's easier to just write the stuff I know needs writing than asking it to generate it, and then modify it to suit my code-style and existing environment. I don't find that a compelling time saver, it's more like a time cul-de-sac. Yes I'm spending the time writing the prompt instead of writing the code, but I'm frankly pleased as punch to just write the code.

I guess to TLDR my own comment here: if you knew how to make the things, you'd just make the things. Image generators are explicitly for people who don't know how, and that reflects in the quality of what's made.

With the context of looking at images on the dall-e page you're looking at a gallery of ai images not art in its natural habitat.

Art deserves to be contextualized properly not be evaluated by the large batch.

I would say the opposite: AI are very good at searching through information spaces, much better than we are.

They're terrible at learning from experience, the points made in the article about that are I think valid, but they're wildly super-human at searching.

> like Qualia

For me, the biggest issue here is: we don't know what that is, it's just what we do.

Without knowing what qualia actually is, we can't tell if an AI does or doesn't have it, we can't deliberately make a machine which does or doesn't have it.

I really hope we figure that question out before someone tries full-brain uploading/emulation.

Ask an artist what's art? Hell no.