Right, but in the weed analogy, the scale is used as a proxy to assume intent. When someone is caught with those 400 joints, the prosecution doesn't have to prove intent, because the law has that baked in already.

You could say the same in LLM training, that doing so at scale implies the intent to commit copyright infringement, whereas reading a single book does not. (I don't believe our current law would see it this way, but it wouldn't be inconsistent if it did, or if new law would be written to make it so.)

> It is not the scale that matters here, in your example, but intent. With 1 joint, you want to smoke yourself. With 400, you very possibly want to sell it to others. Scale in itself doesnt matter, scale matters only as to the extent it changes what your intention may be.

It sounds then like you're saying that scale does indeed matter in this context, as using every single piece of writing in existence isn't being slurped up purely to learn, it's being slurped up to make a profit.

Do you think they'd be able to offer a usefull LLM if the model was trained only what what an average person could read in a lifetime?

It’s clear nvidia and every single one of these big AI corps do not want their AIs to violate the law. The intent is clear as day here.

Scale is only used for emergence, openAI found that training transformers on the entire internet would make is more then just a next token predictor and that is the intent everyone is going for when building these things.