[abeppu]

I mean, I don't want to eat it either. But the point of generalizing the optimization framework is that it applies to other situations with the same shape.

Maybe related questions:

- if you have the resources to run just one online learning model, but can't stash/restore state to just continue a prior model where you left off, how do you find the best online-learned model?

- you have space in your garden for only one large fruit tree. You have an heirloom apple tree currently and it produces decent but not amazing fruit. How do you choose whether to replace with something else, given that a replacement may take years to develop the root system needed to be really productive?

- (more loosely) you're in career track X and have advanced over years, the work is ok but could be better. How should you decide whether to retrain as something different?