Learning to Race with Machines
Presently, computers have reached what was once considered merely science fiction and have taken over nearly all of society’s information-related tasks. The fact that a machine has beaten the top champions in chess and jeopardy in no way means that humans are obsolete in what is known as the coming ‘second machine age’. The truth is entirely the opposite. For instance, computers are currently not capable of ‘ideation’, or the creation of new, good ideas. There has never been an entirely creative machine that can write good software, or create innovative ideas. Sure, they can be programmed with the information that Bobby Fischer used to become a chess champion and then choose to use it at the proper instance; but this in no way is considered creative thinking. Those who understand what is required to excel in this coming age will realize that working together with computers is paramount. The combination of computers handling the ‘dirty work’ of number crunching, data management, and information handling while humans handle ideation, large-pattern recognition, and highly complex communication in conjunction with nearly all the tasks of the physical world is formidable one. As far as education of the next generation to prepare for the optimization of working with machines is concerned, students must ‘learn as much as possible about skills and abilities needed in this coming age’. The moral of this article is that people and humans do not approach the same tasks in the same way and, as a result, people have not yet become obsolete despite the sometimes overwhelming onset of machines into our daily lives. Even so, today’s world was once considered science fiction so the actuality of cognitive machine, although science fiction presently, is very likely in the distant future.