AI is beginning to influence various scientific fields, as demonstrated by the recent Nobel Prize awarded to AI researchers for their contributions.

While I don't regret my contributions to AI, I am concerned about the negative consequences it may lead to, and I believe we should focus on developing it safely rather than trying to halt its progress.

In 2024, AI won two Nobel prizes: one in physics for Jeff Hinton's work on deep networks and another in chemistry for Demis Hassabis and his team's work on AlphaFold and protein folding, showcasing how AI is accelerating scientific discoveries.

AI is often described as a black box, where inputs lead to outputs, but the reasoning behind its responses remains unclear.

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.

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.

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

I'm interested in understanding how AI systems will impact society at large, including what values they should have and how we can evaluate those values in practice.

I initially thought AI would bring a more significant societal change, but it has turned out to be a powerful tool that allows life to continue mostly unchanged, which I find reassuring.