I would be shocked if GitHub's lawyers didn't argue that using copyrighted material as training data for an AI model is highly transformative. There may be snippets available from the original but they are completely divorced from their original context and virtually unrecognizable unless they happen to be famous like the Quake inverse square root algorithm. And I think GitHub's lawyers would also argue that Copilot's use does not affect the _original_ market -- e.g. it does not hurt Quake's sales if their algorithm is anonymously used in a probably totally unrelated codebase.
Your counterexample would probably fail both tests -- it's not transformative use if your software hands out complete pieces of copyrighted software, and it would definitely affect the market if Copilot gave me the entire source code of Quake for my own game.
[0]: https://fairuse.stanford.edu/overview/fair-use/four-factors
That being said, creating a transformative work from something else is considered fair use. So, for example, if I read a whole bunch of books and then, heavily influenced by them, create my own, similar book, that would be fair use I suppose... that makes sense.
But, where does the derivative works come in? Where do you draw the line?
If I am heavily influenced by billions of lines of other people's GPL code (ala Copilot!), then I create my own tool from it and keep my code hidden, does that not mean I am abusing the GPL license?
Edit: > There's a decent bit of caselaw indicating that computers reading and using a copyrighted work simply "don't count" in terms of copyright infringement.
That means their computer can read any code it wants, do whatever it wants with the code, then they can monetise that by giving YOU the code. Would they then be indemnified by saying "no Microsoft human read or used this code"?
However, if you then use the code and look at it, does that make you liable?