Using small fusion devices only. I wonder if its like in machine learning. Where you can get a much better score when iterating the first batch many times. This before continuing to the rest of of training set.
So for fusion this would mean setting up init(). Then hopefully the continued iteration through time will have less errors.
I think this is an axiom. Its hard to fix a bad start. I guess its impossible in most cases.