The big problem will not be how many mistakes it makes, but if you can explain some feature to it.
Something I have been noticing in a lot of AI generated media, it can be visually impressive, but once someone actually tries to use it to tell a story, even a simple one, they find they can't control it well enough to actually produce what they want.
Ai generated stuff is great when you don't care what it produces because you just need _something_ that is close.. but as Ai researchers have known long before this boom, machine learning falls apart when the answer actually matters.