Right, the .mp3 is machine generated but on a creatively -generated input. The analogy I'm making is that an LLM's weights (or let's say, a diffusion image model) are also machine-generated (by the training process) from the works in its training set, many of which are creative works, and the neural network encodes those creative works much like mp3 file does.

In this analogy, distributing the weights would be akin to distributing an mp3, and offering a genAI service, like charGPT inference or a stable diffusion API, would be akin to broadcasting.