My interest in computer science was influenced by the realization that AI could solve complex problems, leading me to shift from studying physics to focusing on AI and technology.

As a computer scientist, I believe this is a unique time in history; anyone in the field should be working on AI instead of retiring.

Growing up, I was fascinated by solving math problems and understanding how machines work, which laid the groundwork for my interest in AI and its practical applications.

During my year off, I learned about various fields, including nuclear engineering and AI, which later contributed to my work.

The shift in AI development has seen a growing number of influential figures in the field coming from physics and math backgrounds, unlike 15 years ago when it was more about traditional engineering.

I got bored with my PhD research on measuring programming skills because some findings were uncomfortable for universities, revealing that students who scored well on exams might not actually understand programming.

In the early days, AI was considered a dirty word and often used as a buzzword, but now it's fashionable again, though its popularity may fluctuate over time.

When I was 18, I identified AI as the top problem I wanted to contribute to, and I now believe I can meaningfully work towards solving it.

There's a huge premium to naivety in AI; approaching industries with a blank slate can lead to accomplishments that others find difficult due to their preconceived notions.