Jason Antic

Confession: What makes me good at machine learning research makes my life miserable. And that is: I habitually stick with a problem until it's solved. The problem is that the problem can never truly be solved in machine learning. 1/

Engineering problems, in contrast, are generally finite. That's fun. The obsessive problem solving has a natural end: When the problem is solved. Two years of having an unsolved problem with this type of personality? That SUCKS. Now I know. 2/

I plan on writing more about this stuff later- about to wrap up research with a hard deadline. It's going to be a relief I think. Then what? Time to get a life again. 3/

I had a really hard time collaborating/teaching engineers for this reason In research, knowledge is the goal so finding a new problem is exciting. But to many of my engineering friends, the point of a problem is to be solved. I did 5 years of engineering school, I get it but..

Some "problems" have a beauty to it and don't always need to be "solved", just acknowledged and when possible, understood!