Comment by waffletower

While I may be mistaken, but I don't believe that LLMs are trained on a large corpus of machine readable music representations, which would arguably be crucial to strong performance in common practice music theory. I would also surmise that most music theory related datasets largely arrive without musical representations altogether. A similar problem exists for many other fields, particularly mathematics, but it is much more profitable to invest the effort to span such representation gaps for them. I would not gauge LLM generality on music theory performance, when its niche representations are likely unavailable in training and it is widely perceived as having miniscule economic value.