As I said in another thread, in my opinion there is no issue to have with whatever they did as training with whatever public data. And in the end, the output i

As I said in another thread, in my opinion there is no issue to have with whatever they did as training with whatever public data. And in the end, the output in itself is not really an issue. It is just a machine outputting random lines it encountered on internet. The problem is from the user side: Ok, you got random lines from random places. If you do nothing about it, then no issue. But if you try to use, publish, sell the code, then you are in deep shit. But somehow it's your fault. For GitHub, the problem is more to be sued by "customers" that assumed that the generated code was safe to use when it is not the case. And, as a general comment, I think that this case is very illustrative about the misconceptions about AI and machine learning for the general public: Here you can see that you don't really have an intelligent system that can learn and then create something new and innovative from scratch. But it is just a machine that copy code it already saw based on correlation with similarities in your current code.