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
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.
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?
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.