Essays from Scott Clark on startup lessons and building things.
My seminar at Oregon State University's College of Science on accelerating science with AI: why the Bitter Lesson and No Free Lunch are both right, why there will always be a frontier between them, and how a harness with physics-rooted guardrails lets a scientist surf it. Video, slides, and a slide-by-slide walk.
A recap of the Machines That Do Science panel at Imagination in Action's Silicon Valley AI Summit at Google Bay View: how much of the scientific loop closes without a person in it, and how you know when to trust the result. The video, the photos, what I argued, and what Nick Edwards and Piotr Byrski said beside it.
My five-minute lightning talk from the Agentic AI Summit at UC Berkeley: why evals are the hinge between AI and scientific abundance, how two failed products taught me where that hinge breaks, and what I'm building because of it. Video, slides, and a slide-by-slide walkthrough.
Lessons from a hard pivot: overfitting to my first company's successes, vision-market fit vs product-market fit, and making new mistakes faster.
How agents turned a decade-old blog backlog into a live site built for two readers: people, and the AI agents they send to read about you.