Eve Bodnia

What's like,

the fundamental laws of nature and become a professor and I just made the decision maybe when I was like around 11 years old and since then my whole life I was like trying to optimize for finding the best people the smartest people around me so I can learn from them and like the best resources available for this so I

Moved a lot with my family and ended up being in the Bay Area.

I went to UC Berkeley for my undergrad and I met Professor Daniel McKinsey.

Hi, Dan.

He was like so deep into dark matter, but also he was focused on just general like understanding how

symmetries and how the symmetries work and how it's applied to describe the laws of nature.

So it was not just dark matter, it was mainly the particle physics, which is one of the most fundamental areas.

And I was attracted to mathematical foundations of it.

And eventually, once you expose the different areas, you start seeing the patterns.

And I was like, well, I kind of like understand a little bit how particle physics works and the same mathematical methodology can be applied to like how brain works.

Well, there's some frameworks, like not every framework, but some frameworks can be applied how the brain works.

And once you start questioning how the brain works, you're naturally questioning what is intelligence and how it works.

And I met Michael Friedman, who was back then at Google Quantum AI, and we had collaboration at UC Santa Barbara during my PhD year.

And he just shared, like, Eve, what are you doing with brain chip development space?

We're also doing the same in AI space.

And we started naturally talking about it.

And I'm like, well, maybe there is some fundamental laws describing intelligence just from the physics perspective rather than traditional computer science techniques.

And I just went deeper and got an idea of

sort of what is energy-based models are, but in my own mathematical language.