- cross-posted to:
- [email protected]
- machine_learning
- cross-posted to:
- [email protected]
- machine_learning
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 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.