AI

A Brief Introduction to the Void Dynamics Model: A Unified Metriplectic Architecture

AI

The Void Dynamics Model Podcast by Justin Lietz

Episode notes

What if intelligence does not need training, backpropagation, or massive stored datasets?

This video introduces the Void Dynamics Model (VDM): a unified research program connecting theoretical physics, Phase Calculus, and a zero-training cognitive runtime that self-structures in real time.

This is the broad entry point:

- what VDM is

- why it claims intelligence may not require training

- how Phase Calculus fits in

- how the Cognitive Runtime works

- where the physics framework enters

- where to find the papers, code, notebooks, and public research archive

VDM is organized into three connected branches:

1. Physics Framework

A derivation-first formal stack for geometry, dynamics, hierarchy, measurement, gauge structure, gravity, action, symmetry, and scale.

2. Phase Calculus

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