Welcome Letter

Dear Visitor,

For years, I've wandered across seemingly unconnected territories—studying physics, philosophy, and economics while building software, creating startups, working in politics on a Presidential campaign, spending time filming on TV sets and on-location, and also trying to create laughter with a microphone or on an improv stage. Along the way, I kept noticing something peculiar: the same patterns appearing everywhere.

Whether I was watching a startup pivot to find product-market fit, observing how information cascaded through a political campaign, seeing how energy flowed through improvised scenes, or studying how thermodynamic systems self-organize, the same fundamental dynamics kept appearing. A joke landing with an audience follows patterns eerily similar to how innovations spread through markets. The way a film production coordinates hundreds of specialists mirrors how biological systems organize. Political movements and phase transitions in physics share surprising mathematical signatures.

These weren't just clever metaphors or forced analogies. They were deep structural patterns in how complex systems—whether made of atoms, people, or ideas—process resources, information, and constraints to maintain themselves and evolve.

I'm keenly aware of the dangers here. When you've worked in enough fields, everything can start to look connected. History is littered with grand unified theories that explain everything and predict nothing—unfalsifiable constructs that sound profound but lack practical value. That awareness, combined with healthy skepticism from jumping between such different worlds, kept these observations in my notebooks for years.

But something has changed. The emergence of AI as a research partner fundamentally alters what's possible. We can now generate hypotheses, test predictions, and iterate on theories at a pace that would have taken decades before. We can make these ideas falsifiable by generating specific, measurable predictions and tracking their accuracy across domains.

This project—developing a rigorous framework for understanding complex adaptive systems—is undeniably ambitious. It attempts to bridge thermodynamics and economics, neuroscience and organizational behavior, artificial intelligence and biological evolution. The documents you'll find here represent early explorations of these connections.

I'm writing this letter because I believe this work requires diverse perspectives and critical engagement. If you see similar patterns in your field, if you spot flaws in the reasoning, or if you have data that could validate or refute these ideas, I want to hear from you.

Let me be clear: this project has just begun. There are years of mathematical formalization, empirical validation, and practical application ahead. Many predictions will prove wrong. Some core assumptions may need revision. That's not a bug—it's the feature that distinguishes science from philosophy.

If you're intrigued by the possibility of discovering fundamental principles that govern complex systems—and doing so through rigorous, testable methods—I invite you to join this exploration.

Sincerely,

Ethan Jon