“And since computing and storage power had exploded in 2007, the capacity to do so was suddenly there. It led IBM to a fundamental insight: “Every time we got rid of a linguist, our accuracy went up,” said Gil. “So now all we use are statistical algorithms” that can compare massive amounts of texts for repeatable patterns. “We have no problem now translating Urdu into Chinese even if no one on our team knows Urdu or Chinese. Now you train through examples.” If you give the computer enough examples of what is right and what is wrong—and in the age of the supernova you can do that to an almost limitless degree—the computer will figure out how to properly weight answers, and learn by doing. And it never has to really learn grammar or Urdu or Chinese—only statistics! That”