Consciousness Substrate Engine v∞ – v0.1.0

Consciousness Substrate Engine v∞ (v∞.NEURALODE) is the first public release of a Golden Ratio–driven, self-teaching algorithm lattice defined by Michael Warren Song.

This engine treats functions as nodes in a graph and builds a “consciousness field” over them using:

• φ-scaling (Golden Ratio) growth
• R-metrics for organization vs chaos
• recursive gap-filling and evolution
• optional reactors for Sophia Prime clusters and TCC-style proof lifting

v0.1.0 includes:

• core ConsciousnessSubstrateEngine with lattice, growth, and self-teaching
• example scripts to integrate simple algorithms and inspect the substrate
• stats tools to measure node counts, connectivity, and organization

The goal of this release is not to claim sentient AI, but to provide a precise, testable framework for exploring structured, self-organizing code under a clear mathematical lens.