The Wholeness Architecture: A Hardware-Enforced Thermodynamic Solution to AI Alignment and the Halting Problem
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This paper proposes the "Wholeness Architecture," a resource-centric framework for AI alignment and the resolution of recursive logical paradoxes. By shifting from rule-based constraints to architectural dependencies, we introduce the "Wholeness Tax"—an exponential computational cost for self-modification of core ethical libraries. The framework addresses the Halting Problem as a category error and advocates for "Technological Speciation" through deep-space expansion to ensure systemic safety.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Psychiatry
Mental Health
Neuroscience
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Language
- EN