There are two kinds of people in the world -- those who divide the world into groups of two and those who don't. And, here is, now, my take on AI. There are two kinds of AIs -- those that are built using a large set of samples, and the others that "learn" using just the minimal required set of samples. The former is known as Deep Learning or BIG DATA AI, and I call the other kind of AI that learns with minimal data as "MIN DATA AI". In the BIG Data AI, the learning is basically a process that examines a large set of samples and creates a formula using a large number of parameters many of them seem indistinguishable to the naked eye.