The Binary Severance Threshold: Why Artificial Intelligence Cannot Achieve Consciousness.

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Authors: Paul W. Barnes
Cited by: 6

Abstract

This working paper presents a structural argument, grounded in the Unified Axioconscious Field Theory (UAFT), that artificial intelligence cannot achieve consciousness. Two novel concepts are introduced: the Binary Severance Threshold (BST) and the Null State Barrier (NSB). The paper examines classical computing, quantum computing, neuromorphic architectures, and Penrose and Hameroff's Orch-OR, concluding that no current or foreseeable non-biological architecture can maintain the conditions consciousness requires. A companion paper to UAFT (DOI: 10.5281/zenodo.18921322).

Fields of Study & Subjects

Cognitive Computing and Networks Computability Logic AI Algorithms Paranormal Experiences and Beliefs

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 April 2026
Language
EN
Document type
Preprint