On the impossibility of discovering a formula for primes using AI

Alexander Kolpakov; Aidan Rocke

doi:10.1371/journal.pone.0301240

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arXiv · 2308.10817

On the impossibility of discovering a formula for primes using AI

Alexander Kolpakov·Aidan Rocke

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Abstract

The present work explores the theoretical limits of Machine Learning (ML) within the framework of Kolmogorov's theory of Algorithmic Probability, which clarifies the notion of entropy as Expected Kolmogorov Complexity and formalizes other fundamental concepts such as Occam's razor via Levin's Universal Distribution. As a fundamental application, we develop Maximum Entropy methods that allow us to derive the Erd\H{o}s-Kac Law and Hardy-Ramanujan theorem in Probabilistic Number Theory, and establish the impossibility of discovering a formula for primes using Machine Learning via the Prime Coding Theorem.

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Alexander Kolpakov, Aidan Rocke. 2023-07-27. On the impossibility of discovering a formula for primes using AI. https://doi.org/10.1371/journal.pone.0301240

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