People were unnerved when Alphabet Inc.-owned Artificial Intelligence (AI) firm DeepMind's computer programme, AlphaGo, beat Go champion Lee Seedol in March 2016. In a paper published in Nature magazine on 18 October, DeepMind said AlphaGo's new version, AlphaGo Zero, is now so powerful that it does not need to train on human amateur and professional games to learn how to play the ancient Chinese game of Go. Further, the new version has not only learnt from AlphaGo, the world's strongest player of the Chinese game Go, but also defeated it. AlphaGo Zero, according to the recently published paper, uses a new form of reinforcement training to become "its own teacher". Reinforcement learning is an unsupervised training method that uses rewards and punishments. The system begins with a neural network (loosely modelled on the brain, hence the name) that knows nothing about the game of Go.