What question did this study set out to answer?

The paper aims to demonstrate that artificial intelligence inherently lacks the capability to achieve consciousness.

April 7, 20260 citationsOpen Access

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

Key Points

The paper aims to demonstrate that artificial intelligence inherently lacks the capability to achieve consciousness.
Introduces the concepts of Binary Severance Threshold and Null State Barrier.
Examines various computing architectures: classical computing, quantum computing, and neuromorphic systems.
Discusses Penrose and Hameroff's Orch-OR as part of the analysis.
Concludes that no current or foreseeable non-biological architecture can satisfy the conditions necessary for consciousness.
Supports the claim through structural arguments based on UAFT.

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).

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