I’m making a general comment, but yes what I mean is that in some idealized cases, you can model the territory under consideration well enough to make the map-territory distinction illusory.
Of course, this requires a lot, lot more compute than we usually have.
I think I see what you’re saying, let me try to restate it:
If the result you are predicting is course-grained enough, then there exist models which give a single prediction with probability so close to one that you might as well just take the model as truth.
Yes, and as a contrapositive, if you had enough computing power, you could narrow down the set of models to 1 for even arbitrarily fine-grained predictions.
I’m making a general comment, but yes what I mean is that in some idealized cases, you can model the territory under consideration well enough to make the map-territory distinction illusory.
Of course, this requires a lot, lot more compute than we usually have.
I think I see what you’re saying, let me try to restate it:
If the result you are predicting is course-grained enough, then there exist models which give a single prediction with probability so close to one that you might as well just take the model as truth.
Yes, and as a contrapositive, if you had enough computing power, you could narrow down the set of models to 1 for even arbitrarily fine-grained predictions.