I understand your perspective that with a sufficiently accurate model of the world, anything can be predicted. But I disagree, while framing all tasks as predic

I understand your perspective that with a sufficiently accurate model of the world, anything can be predicted. But I disagree, while framing all tasks as prediction problems is an interesting perspective (I haven't heard this explicitly stated before), there are inherent uncertainties/data gaps/etc.. in some systems that might pose challenges even to the most advanced predictors. I think your argument relies on there being perfect data - which doesn't exist, and will never exist. It's not solely about the predictor's strength but also about the intrinsic predictability of certain phenomena.