With Lee Hood at the AI Cancer Forum I started — where clinicians and scientists began applying these ideas daily.
SCOTT.AI
The Approximation Era
When equations fail, we approximate.
AI scales that move across the observable universe — learning the shape of reality from data.
Architectures born in media are now becoming practical for biology and medicine.
The through-line
I’ve spent thirty years building systems that learn from massive data.
MIT at sixteen. PhD in AI.
From the early web at IBM to a billion internet photos at Photobucket to planet-scale video AI at Google.
Now those same approximation architectures are moving into biology — proteins, molecules, and disease.
- IBM — Technical Assistant to CEO Lou Gerstner; early web infrastructure
- Photobucket — scaled to a billion+ internet photos
- PwC — CTO; led a multi-year digital transformation
- Google — planet-scale video AI; multimodal systems
- Lustgarten Foundation — board (pancreatic cancer research)
- Stanford Medicine — tumor board advisor
What I publish
I track where the transition is happening in the real world.
One deployment per day — real companies, real systems, measurable outcomes.
AI Money Moves
A daily case study of where AI is already working — revenue lift, cost reduction, and new capabilities.