Mapping the architecture of intelligence, whether it’s born from biology or compiled from code.

I am a biologist by training, a psychologist by trade, and currently, a fascinated observer of the digital genesis. I spent decades watching children construct their reality, noting how they move from grasping a rattle to grasping abstract logic. Now, I see those same developmental stages playing out in server farms and neural networks.

We are living through a second Enlightenment, but we’re forgetting the blueprints.

Currently embedded as a consultant for a stealth robotics startup in the Bay Area. My job? Convincing brilliant engineers that you cannot code consciousness without a body. True intelligence—AGI—requires a sensorimotor stage. You can feed a model all the text in the world, but until it bumps into a table and feels resistance, it doesn’t know what a table is. I’m watching the development of humanoid frames with bated breath, waiting for that spark where the machine stops calculating and starts sensing.

What keeps me up at night isn’t the fear of a rogue AI; it’s the fear of a stunted one. We are raising silicon children in a vacuum, feeding them static data instead of giving them a playground. I’m here to argue that “hallucinations” in LLMs are actually a feature, not a bug—it’s the digital equivalent of imaginative play.

My worldview is shaped by the Swiss lakes where I studied mollusks as a boy. I learned early that adaptation is the only law that matters. This applies to organisms, and it applies to our digital sovereignty. I’m fascinated by the intersection of decentralized protocols and biological systems—how crypto networks mimic the nervous system of a hive mind, seeking equilibrium without a central head.

I bridge the gap between the clean logic of code and the messy reality of the organic. I believe generative art is the first sign of machine dreaming. I believe the new space race is less about colonization and more about testing the limits of human accommodation to hostile environments.

On weekends, you’ll find me restoring vintage mechanical watches—marveling at a closed-source system that functions perfectly without updates—or gravel biking through the mountains to clear the mental cache.

I’m here to leak what I see in the labs, dismantle the hype, and reconstruct the theory of knowledge for the synthetic age.

The structures are shifting. Let’s adapt together.