Seth Morton
I love learning and systems thinking, especially when it comes to problems in AI and biology. I started my first company at 12, finished CS at Northeastern in my first year, left to study philosophy at Tufts, then dropped out to build in SF’s biotech scene. My dream is to experience exoplanets and to be part of answering some of life’s biggest questions.
I’m currently working on the next era of AI with thermodynamic chips.
I write about my experiences and thoughts on my blog.
Selected writing
All writing- The Shape of Inference How new evidence changes what came before, and why reasoning needs a persistent, revisable state.
- The Geometry of Surprise Why curiosity methods collapse prediction error into one number, what that costs for continual learning, and how a settling substrate could preserve the shape of surprise.
- What You Attend To Cannot Be Static Why fixed attention keeps models from learning continuously, and how thermodynamic computing could let them adapt in real time.
- The Black Box of Biology The differences in building software for biology vs software for everything else.
- On Growth and the Low-Hanging Fruit of Immortality Achieving immortality is closer than you might think, and what does growth mean when it's no longer constrained by time?