ehh I don't think that's how that really works. The overall scheme is much more complex than just "learning" from mistakes and misses.
While its become apparent AI models are going to provide some tremendous value, at least in medium range forecasting, if we truly want to make a substantial leap with modeling we need two things
1) Superior computing (such as quantum computing) that is able to perform complex calculations at a much faster rate. Another key aspect about quantum computing is they will be able to handle and perform even calculations that are way more complex than what supercomputers can currently handle
2) The ability to initialize current state better (the Euro has been worlds ahead in this) and part of this goes into quantum computing and ability to handle and perform challenging complex equations.
3) Another challenge is putting knowledge, or our understanding on physical processes into mathematical terms to be computed. There is always going to be some sort of disconnect because we don't have a true 100% knowledge of every process which occurs during storm evolution (example: why some supercells with hooks produce tornadoes while others don't) so we can't 100% model that accurately. And models just can't learn that without us being able to feed it that information first.