Kaleidoscope is an experimental cognitive architecture for emergent intelligence. It uses an E8 lattice physics engine and an RL-steered LLM to autonomously generate novel theories about complex systems. Features a visualization hub of its internal thought-space.

The mechanics beneath awakening. Why consciousness must work as it does. Physics, not philosophy.

Deterministic toy demo of a layered weak-signal sensing architecture for low-altitude small-drone style anomaly detection using synthetic data. Simulation-oriented proof-of-behavior companion to PaperBridge1.

Deterministic micro-demos that prove/falsify Spanda normatives (N01–N30). Each demo has proof/break fixtures and emits replayable JSONL decisions with evidence + rationale—an executable harness for constraint-bound, stratified agent architectures.

Foundational architectural papers for the Spanda Engine: constraint-grounded dimensional inference, stratified time-scaled memory, and reference-shift multi-agent dynamics. Defines non-omniscient, bounded-adaptation AI systems with measurable stability criteria and simulation-ready formalisms.