Comment on Wallace & Gromit fans appalled by the AI upscaling on new 4K UHD release

• kitnaht@lemmy.world ⁨3⁩ ⁨days⁩ ago

  re·​ac·​tion·​ary rē-ˈak-shə-ˌner-ē : of, relating to, or favoring old-fashioned political or social ideas

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  • AppleTea@lemmy.zip ⁨3⁩ ⁨days⁩ ago

    Is there a criticism of AI you wouldn’t categorize as reactionary?

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    • kitnaht@lemmy.world ⁨2⁩ ⁨days⁩ ago

      Criticism of AI taking jobs is a fair take. Even if AI only makes the workflow more efficient, that’s less people that need to be hired in the industry. It’s fair in realizing that AI is valuable, and is doing amazing things, while also criticizing the downsides of using it.

      AI is in its infancy. Different techniques are only going to make it better and better at what it does - it will end up taking jobs. But just broadly claiming it’s bad because you can’t read words that already weren’t readable in the source material is silly.

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      • AppleTea@lemmy.zip ⁨2⁩ ⁨days⁩ ago

        I think labeling things made by AI is a reasonable request. In this specific example, someone who’s buying 4K Wallace & Grommit is doing so out of a love of claymation and Ardmen’s work in it. They want it in high definition specifically to see the details that went into a handcrafted set and characters. Getting a smoothed over statistical average, when you payed for it expecting the highest quality archive on an artistic work, would be more frustrating than just seeing it in lower definition.

        More generally, don’t people working with these models also want AI output to be properly labeled? As I understand it, the model starts to degrade when its output is fed back into itself. With the rapid proliferation of AI posting, I’ve heard you can’t even make large language models with the same level of quality as you could before it was released to the general public.

        I’m also kinda skeptical that this stuff has as many applications as are being touted. Like, I’ve seen some interesting stuff for folding proteins or doing statistical analysis of particle physics, but outside highly technical applications… kinda seems like a solution in search of a problem. It’s something investors really really like for their stock evaluations, but I just don’t see it doing much for actual workers. At most, maybe it eliminates some middle-management email jobs.

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