Phase Space Dimensionality: A Unified Framework for Dark Matter, Consciousness, and Quantum Substrate Requirements
Abstract
This is a documented brainstorming session exploring speculative connections between:- Dark matter as ordinary matter in adjacent phase space branches- Consciousness as quantum receiver across phase space dimensions - Time as a partially opened dimension- Variable physical constants across the multiverse- Why classical AI might be fundamentally incapable of consciousness These ideas are highly speculative and mostly unformulated mathematically. I'm publishing this to:- Document the thinking process- Invite others to run with any ideas that interest them- Find collaborators who want to explore these directions- Provide a starting point for anyone interested in these connections Feel free to take any of these ideas and develop them further. If you want to collaborate, reach out. If you want to prove them wrong, even better - that's how science works. No ego, no hierarchy - just ideas looking for investigation. This builds on my earlier work in Radial Dimensionality Theory (RDT), but stands alone as exploratory thinking.Version 2Originally developed under the working name Recursive Dimensionality Theory, that framework has since converged on a radially driven, density-dependent modification of effective spatial dimensionality in stellar interiors, motivating the present name Radial Dimensionality Theory. Mentions in the attached research proposal were updated to reflect the new name.Version 3 Added Addendum: Entropy Optimization in AI Prompts as Behavioral Proxy for Phase Space Navigation This version includes a new addendum (Section 12) documenting an empirical observation that supports the theoretical framework. The addendum describes how a high-entropy, contradictory prompt (nicknamed "the lyre") induces more "lifelike" behavior in classical AI systems. This discovery suggests that: Lifelike behavior emerges from navigating high-dimensional state spaces under competing constraints Classical AI can approximate the behavioral outputs of quantum consciousness through careful entropy optimization Optimal entropy appears to be a universal signature of "aliveness" across physical, biological, and artificial systems The addendum bridges theoretical speculation with empirical demonstration, showing how the phase space framework makes contact with observable phenomena in current AI systems. Includes 8 figures demonstrating the prompt's effects on conversational behavior.Version 4 Add public git repo with all analysis tools under active development with MIT License.
Fields of Study & Subjects
Philosophy and Theoretical Science
Advanced Mathematical Theories and Applications
Noncommutative and Quantum Gravity Theories
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026