I'm not going to have an epistemological debate on what is knowledge or skill. Humans are more lossy and able to bring in much more varied knowledge and experience in ways a computer cannot.
Ai/ml is not artificial general intelligence. It's a mathematical model.
I don't think we need epistemology here, and can instead keep it at the level of semantics. According to the definitions I'm use to, an AI/ML system is not just a mathematical model, but rather a concrete implementation of an information processing system, which when treated as a black box also applies to a brain.
If an excavator is digging a trench so large that no human could dig it by hand, does that mean that what the excavator is doing can't be called digging?
We can see that the way a human digs and the way an excavator digs are similar, except for the matter of scale. We don't know if the way humans study code is the same way that Copilot learns. Learning methods aside, humans do seem to be far more sophisticated about the ways they use code (understanding subtleties of copyright, attribution and so on) compared to Copilot.
Thats the thing, there is no reason to think that they are similar.