If we take from the land, we must give back in equal measure.
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 greatest victory is the victory over oneself.
The time you enjoy wasting is not wasted time.
The more we try to escape the system, the more we are caught in its web.
Efficiency and environmental responsibility can—and must—go hand in hand.