The goal of Pauli Space is to share a robust theory of machine epistemology, founded upon algorithmic information theory, which formulates the limits of what a Turing machine can know about the Universe. This is equivalent to the epistemic limits of the scientific method and machine learning in general.

A practical advantage of such a theory is that it would allow machine learning engineers to organise their thoughts and carefully formulate testable hypotheses.

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