You don't have to be a genius or a visionary to succeed. You just need to be persistent.
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.
True strength comes from overcoming the obstacles we thought we couldn't get past.