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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've come to learn that some problems have no absolute solutions, just compromises. That made my life easier in many ways.
Yeah taking that perspective has helped get through jams at key times. Every time so far it has been a forced decision because of an outside constraint (time, namely). That's really good engineering generally (tradeoffs) but somehow really hard to apply here.
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!
The problem we are trying to solve helps us to evolve and learn new perspectives. Sometimes we don't need to solve the problem, only change the point of view.
Hi Jason, do you know some criterias or rule of thumb to judge whether a ML problem is solvable or not?
Well by solvable I mean reaching a perfect solution where there's no doubt left- it's doing everything right. So I'm really alluding to the problems this presents to a perfectionist. I really don't think colorization can be truly solvable in that sense.
Secretly I think we all want to be bike mechanics. Although, I am grateful you've chosen to postpone that!
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