cross-posted from: https://programming.dev/post/8121669

Taggart (@mttaggart) writes:

Japan determines copyright doesn’t apply to LLM/ML training data.

On a global scale, Japan’s move adds a twist to the regulation debate. Current discussions have focused on a “rogue nation” scenario where a less developed country might disregard a global framework to gain an advantage. But with Japan, we see a different dynamic. The world’s third-largest economy is saying it won’t hinder AI research and development. Plus, it’s prepared to leverage this new technology to compete directly with the West.

I am going to live in the sea.

www.biia.com/japan-goes-all-in-copyright-doesnt-apply-to-ai-training/

  • Melllvar@startrek.website
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    10 months ago

    I tend to support this idea. If inputting copyrighted materials isn’t infringement then neither should taking the output be.

    • ericjmorey@programming.devOP
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      10 months ago

      Copyright was due for an overhaul globally for decades. Now the system is on the verge of breaking down.

    • hallettj@beehaw.org
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      10 months ago

      Yeah, that makes a lot of sense. If the thinking is that AI learning from others’ works is analogous to humans learning from others’ works then the logical conclusion is that AI is an independent creative, non-human entity. And there is precedent that works created by non-humans cannot be copyrighted. (I’m guessing this is what you are thinking, I just wanted to think it out for myself.)

      I’ve been thinking about this issue as two opposing viewpoints:

      The logic-in-a-vacuum viewpoint says that AI learning from others’ works is analogous to humans learning from others works. If one is not restricted by copyright, neither should the other be.

      The pragmatic viewpoint says that AI imperils human creators, and it’s beneficial to society to put restrictions on its use.

      I think historically that kind of pragmatic viewpoint has been steamrolled by the utility of a new technology. But maybe if AI work is not copyrightable that could help somewhat to mitigate screwing people over.

      • Miaou@jlai.lu
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        10 months ago

        Just to point out, but AI training is very different from humans learning so drawing parallels between the both does not make much sense

    • anti-idpol action@programming.dev
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      10 months ago

      laundering copyleft inputs into copyrighted outputs sucks tho. This has been happening before AI, but I think that any form of violating GPL, CC-NC or CC-ND should be punished.

      • Pipoca@lemmy.world
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        10 months ago

        In the US, at least, AI works are inherently public domain. Because copyright only applies to works with a human author.

    • ericjmorey@programming.devOP
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      10 months ago

      Wouldn’t surprise me. I can’t read or speak Japanese and don’t do much active searching for changes in Japanese law and regulations because I’m pretty insolated from those most of those decisions. So I’m just coming across it now and and have very little context around this. It was the first time I heard about it and it seemed like a big deal. Seems many others als didn’t know.

      Taking the time to put the source article (in Japanese) through Google translate indicates that the Japanese Government made some decisions in April of 2023 that are still being discussed in concern for the effects it will have on the world.

  • state_electrician@discuss.tchncs.de
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    10 months ago

    I am so torn on this. On the one hand, I think training these huge models is very similar to human artists consuming things and then consciously or unconsciously using it for their own work. The source is usually no longer distinguishable. So it should be allowed to train them on anything a human could consume.

    On the other hand, large AI models are mostly under the control by huge asshole corporations and I absolutely hate seeing them benefit for free from the rest of us. It’d be nice if regulation like in Japan applies only for freely available models.

    • atheken@programming.dev
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      10 months ago

      I think the “learning” process could be similar, but the issue is the scale.

      No human artist could integrate the amount of material at the speed that these systems can. The systems are also by definition nothing but derivative. I think the process is similar, but there is important nuance that supports a different conclusion.

      • state_electrician@discuss.tchncs.de
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        10 months ago

        I don’t think the scale matters. Do we treat human artists that only read 10 books or watched 10 movies before creating something different than the ones that consumed 1000 or 10000? For me the issue of who controls it is much more important. If something like ChatGPT were truly open-source and people could use it any way they want, I would have zero issues with the models being trained on everything that is available. We desperately need less copyright instead of more. Right now I think going after the big AI models with copyright is a double-edged sword. It’s good to bring them down, but not at the cost of strengthening copyright.

    • milo128@lemm.ee
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      10 months ago

      Dont fool yourself with this logic. i thought this too until I realized that humans all have a unique perspective, and an entire life of experiences to draw from. Humans dont just look through tens of thousands of images, internalize them, and spit out something similar to them like AI does. it is just not comparable the way it might seem at first glance.

      • state_electrician@discuss.tchncs.de
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        10 months ago

        I think that we like to think that, but actually we’re not as unique or complex as we’d like to be. We’re now at a point where AI already surpasses most humans in knowledge and even creativity. And the models will evolve much faster than we do.