Overfitness feels great in the moment.

Whether it's overfit is whether you have a model that doesn't generalize in time to new scenarios since it fits to what is temporary noise.

Overfit structures are 'fit' but not in a robust way.

Even if you were exactly right about prediction for today you'd be wrong tomorrow.

The world changes in ways you can't predict, fundamentally

This riff and the next 10 were based on a talk I attended this week by Emmet Shear.