> It's not transformative at all, nor quoted for study/discussion, and that's exactly what makes it a problem.
This model works in the same way as GPT-3. It's just predicting what the next most likely word will be given the previous words. It does this by creating a generalizaiton over the content that was used to train it. This generalization should be similar (or close to the same) to if it had a completely different set of training data.
In the same way that you could create 60,000 new training images comparable to the MNIST dataset, and get a model that works at an equivalent level, you could do the same with source code. It doesn't matter where the original data is from because the end result should be very similar when models reach higher levels of accuracy.
> but as it is right now github are simply outlaw and with no excuse at all.
This is an insane view on machine learning. When you read content, neural weights are adjusted in your brain to keep it as a memory. Is that copyright infringement too? Do you now owe Disney royalties because you stored their movie in your memories?
It's also an incredibly harmful view. Machine learning is dependent on data. Services like search, translation, recommendations, etc. are all dependent on training data. And, you're making the case, that since you don't like that it was trained on source code, it should all be illegal.