I think the fundamental question behind this and similar cases will be "how many degrees of derivation are required to go from copying to learning".
If I read a lot of New York times and then go and write a political thriller, that's fine.
If I read the New York times and then go and report the same news, but in my own voice, that's debatable.
If I take the New York times article and publish it verbatim, that's a problem.
All of these cases are ultimately on a spectrum - and the answer will go beyond AI I think. Tesla's lead designer previously worked at Mazda, GM and Volkswagen - so does Tesla owe these companies money because their designer learned car design there? This might sound silly, but it's a fair argument when it comes to AI - how much distance does there need to be between the learned from material and the output?
If I read a lot of New York times and then go and write a political thriller, that's fine.
If I read the New York times and then go and report the same news, but in my own voice, that's debatable.
If I take the New York times article and publish it verbatim, that's a problem.
All of these cases are ultimately on a spectrum - and the answer will go beyond AI I think. Tesla's lead designer previously worked at Mazda, GM and Volkswagen - so does Tesla owe these companies money because their designer learned car design there? This might sound silly, but it's a fair argument when it comes to AI - how much distance does there need to be between the learned from material and the output?