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It kinda has a similarity, because large production studious have a hundreds of concept artists on their shoulders. Now, the content produced by those artist are the property of the studio and since art style is not under copyright, a studio can fire 90% of labor, because now it can be done with less budget and just a few ai-skilled people by the same time. The custom corporate ai models are already being trained privately for different purposes, imagine how big is dataset of various images belonging to Disney, and artists who made it have no legal rights to use it. The case for music is a bit hard to understand. I think the progress is slower here because music pieces is a more complex thing than visuals. Its patterns can be purely explained by complex mathematics, but ai companies seems to try the same predictive models as for text. Probably, just need another approach that will solve it better. As an example, now there are simple diffusion models that basically somehow understands the visual graph of sounds and can replicate the similarity by generating variations of those images. I don’t know the full kitchen of this case, but it’s just fascinating how widely digital information can be reinterpreted.
youtube Viral AI Reaction 2022-12-29T06:1… ♥ 26
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyregulate
Emotionfear
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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