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