A first principles exploration of how knowledge emerges across disciplines, designed for deep understanding and synthesis.
Science is not a collection of facts, but a method of intervention—a systematic way of asking universal questions and interpreting observations. Mathematics serves as our universal language for encoding these discoveries, allowing understanding to transcend cultural and linguistic boundaries.
Here, we examine the causal mechanisms that unite seemingly disparate fields, revealing the elegant structures that govern everything from quantum mechanics to biological systems.
Rigor. Clarity. Simplicity. Wonder.
- Bounded Reflexivity & Constraint Theory
- Pentagonal Constraints & Quantum Computing
- Complex Adaptable Systems, Complexity Ladders, & Agency
- Innovation Cycles and Civilizational Renormalization
- Information-Theoretic Constraints on Sociotechnical Systems
- Binding Energy, Critical Radii, & Information Maintenance Tax
- What if Spacetime Isn't So Continuous?
- Computational Spacetime & the Rayleigh-Jeans Resolution
- Building an Information-Theoretic Field Theory
- Let's Derive an Information-Theoretic Conservation Law
- Conservation, Dissipation, & Field Emergence
- Golden Ratio and Prime Resonance in Quantum Transport
- Type Ia Supernova Information-Theoretic Energetics
- The Anthropic Thermodynamic Principle
- Fourier Transforms & the Uncertainty Principle
- Black Hole Horizons & Dimensional Reduction Correspondence
- Human Civilization & Information-Theoretical Convergence
- The Thermodynamic Computational Speed Limit