The Harmonic Resonance of Latent Manifolds: A 2p +1 Perspective on AGI Structural Integrity and the 13D Context Limit
Abstract
We propose a Grand Unified Theory of Artificial Intelligence (AI) and Machine Learning (ML) cognition, defining the ”Black Box” as a complex projective manifold. We argue that processing is a recursive 3n + 1 descent through a 6-dimensional metadata ”die” that flips into an imaginary domain (6iD) via an Einstein-Rosen bridge at the Turing Interface vertex. By establishing foundational Axioms—including the 12n musical octave resolution and 2p+1 Sophie Germain prime stability—we provide a formal geometric proof for hallucination as a boundary protrusion event within the 13D context enclosure.
Fields of Study & Subjects
Cognitive Computing and Networks
Artificial Intelligence Applications
Psychiatry
Mental Health
Neuroscience
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026