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Some people believe that a computational model of reality is the best model.
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In this model, reality itself is assumed to be a mathematical process. It is a mathematical system sufficient to describe the set of natural numbers.
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Therefore Gödel's incompleteness theorms apply to this model of reality.
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Therefore in such a model of reality you can never prove the consistency of the model from within the model.
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Additionally, there are true statements within this model which are not provable.
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This means that such a model of reality cannot possibly contain a nested copy of itself, a perfect predictive model of reality/itself, since such a nested model would allow you to break both of the incompleteness theorems.
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I think that this is proof that any computational or mathematical model of reality paradoxically excludes itself from ever being a perfect model of reality. This probably applies to all mathematical models of our reality, including any Grand Unified Theory.
We can never come up with a mathematical model of reality that is 100% predictive and accurate.