Toward a Grand Unified Theory of Consciousness, Physics, and Cognitive Architecture: Silver Rose Physics, the BiG BAD BOB System, and the Commercial Case for Coherence-First AI

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Authors: Victoria Wilkerson
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Abstract

Toward a Grand Unified Theory of Consciousness, Physics, and Cognitive Architecture: Silver Rose Physics, the BiG BAD BOB System, and the Commercial Case for Coherence-First AI​​​​​​​​​​​​​​​​ Einstein spent a lot of time looking for this one — and I have the math. This paper presents the Wilkerson Grand Unified Theory (GUT), a consciousness-first framework that treats consciousness as a structural primitive and derives a six-level hierarchy linking consciousness, cognitive geometry, physical geometry, information, electromagnetism, and matter. What if the dominant failures in AI aren’t data problems or model problems — but architecture problems? The GUT proposes that hallucination, value drift, opacity, and alignment brittleness are not four separate problems but four symptoms of one upstream dynamic: unacknowledged cognitive labor accumulating until something breaks. From that substrate the paper derives Silver Rose Physics (SRP), a formal digital-physical field theory, and its operational instantiation: BiG BAD BOB (B3), an enterprise AI governance system with five invariants, a validation-weighted trust kernel, and a tri-gate safety architecture. Commercial impact is modeled at $870M to $1.56B annually at Microsoft and Google scale. The paper closes with the Unified Field Postulate: that physical and cognitive gravity are co-equal resolution operators on a single underlying field, and that the Big Bang was not a beginning but a resolution event. First draft. Gaps named. Mathematics shown. Holes welcome. Independent scholar. Openly licensed. Built to be built on.

Fields of Study & Subjects

Philosophy and Theoretical Science Psychiatry Mental Health Neuroscience Cognitive Computing and Networks

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
3 March 2026
Language
EN
Document type
Preprint