System 2 deep learning: The next step toward artificial general intelligence

Say you've been driving on the roads of Phoenix, Arizona, all your life, and then you move to New York. Do you need to learn driving all over again? You just have to drive a bit more cautiously and adapt yourself to the new environment. The same can't be said about deep learning algorithms, the cutting edge of artificial intelligence, which are also one of the main components of autonomous driving. Despite having propelled the field of AI forward in recent years, deep learning, and its underlying technology, deep neural networks, suffer from fundamental problems that prevent them from replicating some of the most basic functions of the human brain.