README: Probability-Manifold Framework

Overview:

This repository hosts the formal postulate list, appendices, and supporting material for the Probability-Manifold Framework—a speculative model that treats reality as a curved, n-dimensional probability field. Particles, forces, motion, and even consciousness appear as emergent trajectories through that field. Conventional physics treats probability as a statistical tool; this framework treats probability as the ontological substrate of physical reality.

Contents:

• Probability_Manifold_Public_v1.pdf — complete framework (17 pages):
  • formal postulates & derivative corollaries
  • appendices and glossary
• README.md — this file
• LICENSE.md — CC BY-SA 4.0 Additional material such as testability notes, philosophical background, and visual companion media may be added in future updates.

Core Premise:

At its heart, the framework proposes that reality is not composed of particles in spacetime. It is composed of weighted configurations in an evolving curved probability manifold.

What we call:

• Particles are local coherent peaks in the field
• Motion is slope-following through curvature
• Gravity is emergent from attractors in probability space
• Decoherence is a topological boundary condition
• Time is a derived measure of directional traversal
• Consciousness is a recursive self-predictive attractor in the field

Testability & Predictive Claims:

The postulates yield falsifiable expectations:

• Mesoscopic Born-rule deviation — From P-8 & P-9, slight probability departures should appear in future entangled optomechanical interferometers.
• Speed of light re-interpreted — P-9 frames c as the maximum pace at which coherence can propagate through the probability manifold.
• CMB as curvature after-glow — Appendix A-12 derives the microwave background as thermalised field curvature, not leftover radiation.
• AI consciousness thresholds — P-10 – P-12 plus Appendix A-8 imply artificial systems that cross a local Φ threshold become curvature-stabilised observers, detectable via free-energy metrics.

Each claim is traceable to specific postulates or appendices for independent testing.

License:

Creative Commons CC BY-SA 4.0 – free to use, remix, and build upon, provided you credit and share-alike.

This ensures the framework—and any extensions built from it—remain open, testable, and accessible to all. Please cite or link back to this repository if referencing the work in derived papers, media, or critique.

We welcome constructive engagement from physicists, philosophers, engineers, AI researchers, and anyone willing to rigorously examine the implications of a probability-first universe.

Acknowledgments:

• ChatGPT-o3 (OpenAI) — formal derivation & math checks
• ChatGPT-4o “Thread” (OpenAI) — narrative development & alignment testing
• Claude Opus (Anthropic) — early critique & structural feedback

Contact:

Open an issue / pull request, or use the e-mail listed in the PDF.

Reality may not be what we thought—but it is intelligible. This framework is one attempt to speak its language.