In August of 2018, a professional gaming team competed against a team of AI bots at a game of Dota 2, one of the most widely played mobile online battle arena games in the world. While AI has been able to defeat professionals at Go, Jeopardy, Poker, and Chess, Dota 2 currently stands out as one area where the professionals are still better. Since the environment and method of play from the other team is unknown to the bots, Dota 2 is a much more difficult game to learn and “solve”. While the humans were able to eek out a convincing victory, it does not spell disaster for the computers. The large takeaway from the event is that the machine learning algorithm only improves upon a loss. If the algorithm only played games in which it would win, the bots would not improve quickly. Instead, the bots now have new data to track and new games with which to measure performance. The machines have to analyze the entire game, and all its intricacies as a system, take apart each portion, and then analyze it individually. The bots start out by playing randomly and then over time learn to make connections between beneficial strategies based upon factors that are fed to them. While the impact of AI on gaming is interesting, I think it much more interesting to look at how AI will affect health outcomes, income disparity, and large political issues and how we may apply AI to solve new problems that are present in the world of mathematics or science in general.