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.

A systems lab for designing execution frameworks, internal developer platforms, and cognitive scaffolds — the R&D engine behind Execution.

Bringing better learning to everyone. A template for structured learning using P.A.C.E.R. loops, verified logs, and public outputs. Designed to build second brains with protocol-level precision.

Problem complexity classification and learning progression framework with quantitative wickedness assessment methodology. Features 5 problem tiers (Simple→Super-Wicked), Base-N architecture (Base6→BASE120), and empirical validation from HUMMBL mental models research. Includes automated quality control and community templates.

The Mad Scientist Operating System