PLSE: Principle of Latent Extremophile Survival From Chaos to Coherence via Latent Transformations

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Authors: Benjamín Felipe Pérez Contreras
Cited by: 0

Abstract

We present the Principle of Latent Extremophile Survival (PLSE), the third principle of the Law of Semantic Tolerance. PLSE establishes that if a learning system works when it theoretically should not (ρ ≥ 1), then there exists a latent structure that makes it possible. We prove that ρ = 1 is a universal threshold and that “extremophile” systems survive because there exists a transformation φ that reduces ρ to learnable values. Rigorous tensorial derivations will be presented in a subsequent work.

Fields of Study & Subjects

Neural Networks and Applications Machine Learning and ELM Machine Learning and Algorithms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026