The cognitive theory is beyond me, but the math looks interesting. I need to exert more thought on this, but I would submit an open Question for the community: might there be a way to calculate error bounds on outputs conditioned on "world models" based on the models' predictive accuracy and/or complexity? If this were possible, it would be strong support for mathematical insight into the "meta model".