It’s not the same as turning it into a play, but it’s doing something with it beyond its intended purpose, specifically with the intention to produce derivatives of it at an enormous scale.
Whether or not a computer needs more or less of it than a human is not a factor, in my opinion. Actually, the fact that more input is required than for a human only makes it worse, since more of the creators work has to be used without their permission.
Again, the reason why I think it’s incomparable is that when a human learns to do this, the damage is relatively limited. Even the best writer can only produce so many pages per day. But when a model learns to do it, the ability to apply it is effectively unlimited. The scale of the infraction is so exponentially more extreme, that I don’t think it’s reasonable to compare them.
Lastly, if I made it sound like that, I apologise, that was not my intention. I don’t think it’s the models fault, but the people who decided to (directly or indirectly by not vetting their input data) take somebody’s copyrighted work and train an LLM on it.
It’s not the same as turning it into a play, but it’s doing something with it beyond its intended purpose, specifically with the intention to produce derivatives of it at an enormous scale.
Whether or not a computer needs more or less of it than a human is not a factor, in my opinion. Actually, the fact that more input is required than for a human only makes it worse, since more of the creators work has to be used without their permission.
Again, the reason why I think it’s incomparable is that when a human learns to do this, the damage is relatively limited. Even the best writer can only produce so many pages per day. But when a model learns to do it, the ability to apply it is effectively unlimited. The scale of the infraction is so exponentially more extreme, that I don’t think it’s reasonable to compare them.
Lastly, if I made it sound like that, I apologise, that was not my intention. I don’t think it’s the models fault, but the people who decided to (directly or indirectly by not vetting their input data) take somebody’s copyrighted work and train an LLM on it.