Earlier quoted context omitted.
Why shouldn't the creators of the training content get anything for their efforts? With some guiderails in place to establish what is fair compensation, Fair Use can remain as-is.
The issue as I see it is that every bit of data that the model ingested in training has affected what the model _is_ and therefore every token of output from the model has benefited from every token of input. When you receive anything from an LLM, you are essentially receiving a customized digest of all the training data. The second issue is that it takes an enormous amount of training data to train a model. In order…
>That’s like a person having to pay a little bit of money to all of their teachers and mentors and everyone they’ve learned from every time they benefit from what they learned.
I could argue that public school teachers are paid by previous students. Not always the ones they taught, but still. But really, this is a very new facet of copyright law. It's a stretch to compare it with existing conventions, and really off to anthropomorphize LLMs by equating them to human students.