Kafke

Kafke t1_jedkbke wrote

Some childrens tv shows or media programs stating incorrect information does not make it correct. Additive primaries are RGB, subtractive primaries are CMY. The idea that RBY are primary colors is a popular misconception, but is incorrect. It has it's roots in art classes prior to proper scientific investigation of color, light, and modern technology. If your goal is art history, then yes, people in the past incorrectly believed that the primary colors (both additive and subtractive) were RBY. They were wrong. Just as people believed the earth was flat, yet were wrong.

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Kafke t1_je9drq3 wrote

Yes. You do realize our eyes only have three kinds of cones right? Rgb are the primary colors lol. Cmy if you're looking at subtractive colors. Using these three colors, you can create every other color. Rgb for light/additive, Cmy for ink/paint/subtractive.

Rby is not primary in any sense of the word.

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Kafke t1_je9ao1v wrote

Well no. That's been incorrect since the beginning of time. This is a factual scientific topic. There is a correct answer and incorrect answer. It's not up to preference or opinion. Printers use cyan, magenta, and yellow, because those are the subtractive primary colors. If you used red, blue, and yellow, you can't actually produce the rest of the colors with those. Since red and blue aren't primary for subtractive color, but rather iirc secondary. People being wrong for a long time doesn't mean they're right.

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Kafke t1_je99yqw wrote

There's additive color and subtractive color. The set of red, blue, yellow, is primary for neither. Additive primaries are red, blue, green. Subtractive primaries are cyan, yellow, magenta. If you're mixing paints you're working with subtractive color and thus the primary colors are cyan, yellow, and magenta. not red, blue, and yellow.

The info is incorrect no matter the context.

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Kafke t1_j5jiw8e wrote

Never had this issue with stable diffusion. Perhaps stop using apps by corporations? I just finetuned a model on my own pics, then was able to generate stylized pics just fine.

It's not AI's fault. It's the company's fault.

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Kafke t1_j4fgd4t wrote

Yup. That's my view as well. I'm guessing we'll get watchable vidoes maybe within 5 years. And from there it'll be a small niche where people make their own indie movies, but that's not up to hollywood quality just yet. A few years after that I imagine it might be used in hollywood for a movie or two. It'll take a long while before they switch over entirely.

Hard to say, but I'm not expecting it soon.

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Kafke t1_j4e9b3c wrote

voted 10 years or more. Anyone saying otherwise does not understand humans, and does not understand current AI.

Just recently we got the very first announcements of an AI being able to generate a simple video. The video was incredibly poor quality, suffered the usual temporal consistency issues, was very short, lacked audio, etc.

It'll take a few years at least for ai generated videos to be deemed "human-watchable" rather than "first steps in research". So that's already looking like 2-5 years at least.

From there, we'll likely end up seeing the same issues that stable diffusion is facing today, with many people in the field opposing it's use.

Lastly, you put "most" in the criteria, meaning over 50% of content. This is extremely unlikely, even if such content does manage to appear within the next decade. If we do hit such a deadline, it'll only initially be a small portion of content at the beginning.

My estimate is that I expect some portion of content (say, less than 30%) to be ai generated within 50 years. Referring here to books, youtube videos, and comics/manga, along with music.

Though I'm fairly conservative in this regard, so I guess we'll see.

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Kafke t1_j49tiot wrote

well it wouldn't be "MusicGPT", but yes, ai music is already a thing. Such as with riffusion (stable diffusion trained on spectrograms to create music).

you're correct about the controversy though. All modern AI work in the same way: by curating a dataset that's used to train a neural network's weights, and then those weights are used to produce something related to the dataset. So just as art AI uses images in the training that people yell about copyright issues, music AI will use music in the training that people may also complain about.

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