In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
The best way to be happy is to be grateful.
Make stuff that is good for people to have.
I don't spend my time pontificating about high-concept things; I spend my time solving engineering and manufacturing problems.