Introduction

Thousands of hours of LEGO, battle-botting the robots we built, fun with VB6, Blender animations and making videos, following whatever scientists and engineers were discovering that month and trying to be good at all of it. I fell in love with Math most of all, really trying to align a deep intuition for it all. In high school I stacked community college credit (Calculus I–III and diff eq by senior year), and from 2018 to 2020 I would print out AI/ML papers on arXiv to read in the back room of the McDonald's while I worked. When I finally got to college, I finished the CS degree at UT Arlington in two years at maximum course load.

Where I come from

I was raised a Jehovah's Witness in Texas, and it was a center of my identity from birth until my mid-20's. It gave me very principled ideals including instincts for truth and justice. But the larger ideological framework behind it all also led me to live differently than most: no parties, no dating, few friends my own age, and at 17 as top-ten student, full engineering scholarship, and other accolades, I turned down college because the people I trusted most told me it would be "worldly". Instead, I spent the next years of my life volunteering for the Jehovah's Witness' ministry work and applying — unsuccessfully — for their corporate-like internal career paths.

but proselytizing bored me, and often felt pointless. so I began searching again for a more scientifically grounded understanding of why I was here at all: the universe, life, intelligence, consciousness, purpose, what a person should live for if the story they inherited might not be true. The religious questions became philosophical questions; the philosophical questions became scientific and engineering questions; and those scientific and engineering questions eventually became an information theoretic framework for quantifying the qualitative structures we exist within and pointing to the metrics we should optimize.

While this mathematic framework to aesthetics, affect, and meaning feels so true and beautiful, I understand it is far from complete, and my journey to discover it has left me with greater skepticism and profound awareness of the incentive structures shaping people. I know from the inside what it's like to live entirely within a story, sacrifice real things for it, and watch it come apart.

But because the door opened late, everything arrived at once. My first real tech job in Los Angeles in fall 2024 showed me the industry from the inside, and I stopped believing its story too. Then, one by one, many other illusions collapsed: the experiences of some of the people I was supporting through GoHuman, the difficulty of finding work, my dog dying, and long walks for hours each day staring into the pitch black where hope used to be. Lies are a remarkably convenient asset—or perhaps debt—in an incentive economy.

By the time I reached San Francisco, I hadn't found a legitimate reason to hope, or even to live, for months. (This was still before I converged on the mathematical framework for experience) So I followed through on a plan I had made for exactly that circumstance. But as I began to carry it out, I became afraid. About ten feet into my fall, I caught a plant, and hanging there I made a commitment to myself: if I survived the remaining forty feet, I would actually live. Obviously, I did.

I call 24–25 my second adolescence, doing developmentally what most people do at 15–19, awkward parts and crazy stuff included. Therapy and unfiltered thoughts on my reddit anon. Which was also when I converged on the mathematical framework above.

Science and tech are not a shinning light anymore like they were for that teenage boy but they really are some of the highest-leverage tools I have for shaping the human experience. The qualitative concepts intelligence runs on like affect (emotions), aesthetics, and identity can be given real structure, and what has structure can be engineered — for everyone. While the incentive structures driving progress might initially focus this effort on optimizing the content and experiences we consume, human life will soon be so deeply enmeshed with AI systems that we can directly target and optimize variables of the subjective experience, perhaps through BCI-tech or at the more speculative end mind uploading and causal resonant amplification and recovery

I'm currently working on CommandAGI: a consumer and business command layer for AI in the real world — computers, browsers, cameras, robots, simulations, real-world services — where every agent has perception, memory, permissions, and an accountable event log. Downstream: the exocortex, structured latent dynamics (instead of brute-force scale), reciprocal transparency.

Make the world inspectable. Make agency cheap. Make hidden systems answerable.

If any of this resonates, say hi.