AI companies have all kinds of arguments against paying for copyrighted content
AI companies have all kinds of arguments against paying for copyrighted content
Most argue training with copyrighted data is fair use.
AI companies have all kinds of arguments against paying for copyrighted content::The companies building generative AI tools like ChatGPT say updated copyright laws could interfere with their ability to train capable AI models. Here are comments from OpenAI, StabilityAI, Meta, Google, Microsoft and more.
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Here is what deliberative experts way smarter and more knowledgeable than I am are saying ( on TechDirt )
TLDR: Letting AI be freely trained on human-made artistic content may be dangerous. We may decide to stop it so long as capitalists control who eats and lives. But copyright is not the means to legally stop it. This is a separate issue to how IP law is way, way broken. And precedents stopping software from training on copyrighted work will be used to stop humans from training on copyrighted work. And that's bad.
Agree, it's not much different from a human learning from all these sources and then applying said knowledge
Scale matters. For example
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A bunch of random shops having security cameras, where their employees can review footage
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Every business in a country having a camera connected to a central surveillance network with facial recognition and search capabilities
Those two things are not the same, even though you could say they're "not much different" - it's just a bunch of cameras after all.
Also, the similarity between human learning and AI training is highly debatable.
Both of your examples are governed by the same set of privacy laws, which talk about consent, purpose and necessity, but not about scale. Legislating around scale open up the inevitable legal quagmires of "what scale is acceptable" and "should activity x be counted the same as activity y to meet the scale-level defined in the law".
Scale makes a difference, but it shouldn't make a legal difference w.r.t. the legality of the activity.
Scale makes a difference, but it shouldn't make a legal difference w.r.t. the legality of the activity.
What do you think the difference between normal internet traffic and a ddos attack is?
Intent is part of it as well. If you have too many people who want to use your service, you're not being attacked, you have an actual shortage of ability to service requests and need to adjust accordingly.
In this context I meant that it was the same person doing a "normal" thing at such a scale that it becomes illegal. Scale absolutely is something that can turn something from legal to illegal.
But isn't the intent and not the scale that makes it illegal? Scale only evidence for the intent.
I see what you mean. Perhaps cold calling would be a better example then, where it is illegal if it is automated.
Lack of consent and the intent to cause harm.
Ok, then how about automated cold calling vs "live" cold calling?
Falls under unwanted calls, you should be able to opt out of both (though I believe both are currently legal in the US).
You can opt out of both, but automated cold calling is straight up illegal in the UK (and it's a good thing it is).
Legally no difference
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When Google trained their playing neural network, they trained it to starcraft2 . It was better at it than professional gamer. It trained by watching 100years of play. Or 36500 days of play. Or 876000 hours of play.
Does a human can do that ? We both know it's impossible. As the other person said, the issue is scale.