How Do You End Up Working on the Future of Machine Learning?

When i started out in grand school, i was working on an area that, t this point is pretty esoteric. It's called computationally bounded inference, or comfutationally bounded reasoning. Because a big question with humans is like, oga, humans don't have that many svew cycles. They kind of have to follow all these huristics. And so you're interested in the social impact and potential impact on the future. And then like, how dod you end up working on the work you did in grand school? And haw haws that evolved till now.