I mainly use AI for learning things these days. The biggest bottleneck is always providing the machine with your context in sufficient detail that it can understand how to help you. When learning a topic it isn't always clear cut on how to do that, as you're likely missing much of the vocabulary necessary to get the AI to give you the answer you want.
AI is perfectly capable of teaching you quantum mechanics if you understand music theory. However, unless you have a full understanding of music theory, you'll need to explain to the machine what you know, and that takes trial and error that most students won't bother with.
AI is perfectly capable of teaching you quantum mechanics if you understand music theory. However, unless you have a full understanding of music theory, you'll need to explain to the machine what you know, and that takes trial and error that most students won't bother with.