最伟大的真理是最简单的，最伟大的人也是如此。
The reality is: sometimes you lose. And you're never too good to lose. You're never too big to lose. You're never too smart to lose. It happens.
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.
