cross-posted from: https://programming.dev/post/8121669
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/
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.
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.
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.
creativity isnt about looking at a million existing art pieces and continuing the pattern. sure, humans can do something similar to that that, but thats all that AI can do. AI can immitate a human artist but it cannot have real creativity because it lacks memories, experiences, views, perspectives, that a human would use when creating something new. I’m not just saying this because I want it to be true, i’m saying it because it is true. Awe at the exploding capabilities of AI may be clouding your judgement.
I think this, for outsiders, sudden leap in AI capabilities will also over time cause us to re-evaluate how we ourselves operate. What does it mean to be creative? Humans are mostly incapable of saying why they did something, because so many things factor into it. Down to how we felt in the very moment we did it. But the same is true for current AI models. Nobody can say why they did what they did. And they will only become more complex in the future. Sure, you can come up with definitions of creativity that exclude AI on purpose. But I think we just overestimate and glorify human creativity, probably out of arrogance and fear of becoming obsolete. Almost everything humans create is derivative to some degree. I’d argue that extremely few artists in the entirety of human history have created something truly new. Everything is built on and influenced by previous art and the artist’s experience. Sure, AI is not quite as complex as a good human artist. But give it some time. Like I said, AI evolves a lot faster than we do.
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.
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.
If these systems could only reorganize and regurgitate 1000 creative works, we would not be having this conversation. It’s literally because of the scale that this is even relevant. The scope of consumption by these systems, and the relative ease of accessibility to these systems is what makes the infringement/ownership question relevant.
We literally went through this exercise with fair use as it pertains to CD/DVD piracy in the 90’s, and Napster in the early 2000’s. Individuals making copies was still robbing creative artists of royalties before those technologies existed, but the scale, ubiquity, and fidelity of those systems enabled large-scale infringement in a way that individuals copying/reproducing them previously could not.
I’m not saying these are identical examples, but the magnitude is a massive factor in why this issue needs to be regulated/litigated.