Where the AI era gets decided

At Dartmouth, you cannot miss the school’s obsession with the early days of computing.

It shows up in hallway stories, campus tours, and alumni conversations that always seem to orbit the same era. The early machines were huge, the ambition was bigger, and the stakes felt national.

It was the space race backdrop, when engineering, math, and computation started to feel like fuel for history. Dartmouth has its own foothold in that chapter, including early work that helped make powerful computing usable for more people.

That era had a specific kind of optimism. The sense that new tools could unlock entirely new frontiers and pull the rest of society forward with them.

We are living through another version of that moment right now. Artificial intelligence is opening a new chapter in what humans can build, how quickly we can build it, and who gets access to that capability.

I first got to feel the scale of that shift as a medical student at Harvard.

On overnight ED shifts in fourth year, I started testing what large language models could do with real clinical uncertainty and real-time pressure. I could take a brief presentation and generate a clean differential diagnosis, plus an assessment and plan that held up at a level far beyond what I could produce alone under such constraints. It felt like the beginning of a new era.

That was exciting, but it was also clear that blind trust poses enormous risk, particularly in healthcare. Powerful tools amplify outcomes, which means the work has to be done with care.

Building AI responsibly requires discipline and a real commitment to keeping humans at the center. It requires systems that are grounded in expert knowledge, evaluated honestly, and designed for reliability.

That is the work that pulled me to micro1.

At micro1, we partner with human experts to generate the data that powers the most advanced AI models and directly shapes what these systems become. The inputs we create influence what models prioritize and how they behave in high-stakes settings.

I joined because I wanted to be part of a team that treats that responsibility seriously. I also joined because the culture is built around high standards and taking care of the people doing the work. Beyond that, I joined with the shared belief that the U.S. must lead this era the way it led prior technology waves, by treating quality and reliability as the core advantage.

Computing helped define an era and expand what was possible. We are on the edge of another leap forward, powered by human expertise and multiplied by AI.

That is the ride I joined at micro1. If you are building, advising, evaluating, or contributing expertise in any form, there is a role for you in shaping what comes next, and I encourage you to play an active part in it.

If this era is going to deliver on its promise, it will be because humans set the standard and build a future we are proud to hand to the next generation.