Adversarial technique targeting vulnerability in KataGo allows sub-par program to win

A team of researchers with members from MIT, UC Berkely and FAR AI has created a computer program to target vulnerabilities in the KataGo program that allow it to beat the AI-based system. They have published a paper describing their efforts on the arXiv preprint server. In 2016, a computer program created by the DeepMind project succeeded in beating human champion Go players for the first time. The program used a deep-learning neural network to learn how the game works and then how to play at increasingly higher levels by simply playing against itself. More recently, a similar open-source program called KataGo was released to the public--it can also beat the best human players.