That complexity can actually make it more forgiving to mistakes. Visual art can contain lighting inconsistencies and still look fine. For example, a recent HN d

That complexity can actually make it more forgiving to mistakes. Visual art can contain lighting inconsistencies and still look fine. For example, a recent HN discussion looked at Dall-E Mini art involving origami [1], and while they look good, there are lots of clear mistakes. Perhaps in music, these mistakes are more obvious. Though at the same time, it seems like Dall-E2 is really good at faces [2], which is an example where there is a lot of structure, and viewers are very good at finding mistakes (the "uncanny valley"). Dall-E2 is of course a much bigger model with more training than Dall-E mini. Perhaps with the same amount of training, music AI can get to the same level. [1]: https://news.ycombinator.com/item?id=31787743 https://news.ycombinator.com/item?id=31787743 [2]: https://www.vice.com/en/article/g5vbx9/dall-e-is-now-generating-realistic-faces-of-fake-people https://www.vice.com/en/article/g5vbx9/dall-e-is-now-generat...