Staying With the Hard Part
In a research-heavy environment facing uncertain times, new ideas that challenge the norm require quiet persistence.
The Little Prince taught me that what's essential is invisible to the eye. Years later, I realized gradient descent works the same way.
After building dozens of agent systems, I've distilled orchestration down to 8 fundamental primitives that keep appearing.
A year of coding with AI assistants changed how I think about programming, creativity, and the craft of building software.
Every era of ML has the same fundamental promise: take messy reality, transform it into signals, learn from those signals, and ship decisions into products.
When machines can build, what does it mean to be a builder? A framework for finding meaning in the age of AI.