but there's so many problems that it sound paradoxic cal that we don't know how to do them. i wouldn't know how to code how to recognize my mother's face or how to ride a bicycle. these are thing wes just know how to do intuitively but can explain them. we know more than we can tell. with the machine learning we just described, we now have opened up those possibilities. these machines are learning on their own how to solve the problems, not by having a human teach. the seven by step but instead of giving them examples what works and doesn't work. this is a cat, a dog, a human face, this is the word yes or no in french or in english, and the machines -- give them enough samples will figure out the pattern on their own. it's really a remarkable transition that has really become important the past fewer years, since he wrote the last book, the second machine age. >> there was an example that went viral on twitter a while back. could the machine tell whether it's a blueberry muffin or a dog? because it had the little dots on the face. one thing love about that -- >> another ones