No, learning (by ML) is not learning (by humans). It's just a same word used in different context, and doesn't by itself imply that the meaning is the same. The underlying process is completely different. Neural networks, despite their name, don't share anything in common with human brains.
Do you have any other argument besides "the word is the same"?
The concept is shallowly similar, not nearly the same.
Human learning, at the very least, consists of maintaining internal model of the world around us and integrates all data into a coherent structure. Current neural networks are extremely limited in their capabilities - each model operates on a strict class of data, and is not able to comprehend the world outside of that class of data, and as such cannot be compared to human understanding. CoPilot does not understand how the computer works - it only understands that connections between pieces of text exist.
If you're as informed on how ANNs work as you claim to be, then perhaps you should inform yourself more on how human mind works.
No, learning (by ML) is not learning (by humans). It's just a same word used in different context, and doesn't by itself imply that the meaning is the same. The underlying process is completely different. Neural networks, despite their name, don't share anything in common with human brains.
Do you have any other argument besides "the word is the same"?