[kelnos]

> I don’t think it makes sense for both model builders and the model’s users to separately obtain licenses for the same works used in the training set.

I'm torn on who should pay, and where and when. In the world of patents, there's often an option/split. Say a chip manufacturer wants to build H265 decoding into their hardware. The chip manufacturer could buy the license. Or the purchaser (who probably is building some sort of board or device around the chip) could pay for the license. Or they could disable that functionality in the end product, and the consumer could pay for a license (or not, if they don't care about that feature).

The most common is usually the middle option: the end-device manufacturer (or brand that eventually sells the product) will pay for the license.

But I'm not sure if this works all that well for an AI model. With hardware, the license is usually paid per unit. It's easy to see that one chip = one license. If the model builder buys a license, that model could be used one time or 100 million times. Tracking use like that probably isn't all that practical, but I think it's safe to say that a 100-million-use model should probably pay more for a license than a single-use model.

So maybe the model builder should be responsible for attaching a comprehensive "copyright history" to the model, and users should have to pay for a license based on their use? Again, not sure how to track that. But I guess general software licensing has similar problems when you can "hide" usage.