Polyxan Semantic Hyperstructure
This repository develops a unified field-theoretic architecture for generative world engines. Instead of treating models as frame generators or token predictors, the framework redefines them as components within a persistent semantic field governed by dynamical laws.
Each document in this repository explores a different layer of that architectureβfrom conceptual grounding to formal specification and comparative analysis.
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Unified Theory
A formal synthesis of the RSVPβPolyxan framework as a field theory of persistent world-state and generative dynamics. -
Architecture Specification
A full technical specification of the latent field memory, constraint systems, and factored update mechanisms. -
Dynamics Module
A focused treatment of the ΞΟ operator, including neural proposals, constraint projection, and variational evolution.
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Conceptual Primer
An intuitive introduction to semantic fields, persistence, and the transition from stochastic projections to stable worlds. -
Logic Overview
A structured walkthrough of the system pipelineβfrom observation to memory commit to causal residue.
- Comparative Analysis
A detailed comparison between RSVPβPolyxan and existing systems such as MultiGen, highlighting structural deficiencies and advantages.
- Blog Post
A high-level exposition framing the transition from "AI goldfish" systems to persistent field-based world engines.
The central thesis of this repository can be summarized as:
The model should be the physics and optics, while the world should be the substrate.
By separating generation from persistence, this framework enables:
- coherent long-horizon simulation
- stable object identity
- causal, multiplayer-consistent worlds
- Yarncrawler Audio Visualizer β Audio Overviews
The Categorical Structure of Alignment
Complex Systems β Audio Overview