Episode 36: Predicting the World Series
May 26, 2017•20 min
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Episode description
Peter and Dan discuss the ability of artificial intelligence (AI) to make predictions far better than humans, given the explosion in the amount of data in recent years.
In this episode:
- Peter discusses how MogIA, an AI system developed by an Indian startup, correctly predicted the outcome of the 2016 presidential election, basing its analysis on 20 million data points from platforms such as Google, Twitter and YouTube.
- Dan talks about another implication of predictive AI in sports betting. One company Unanimous AI runs a program called UNU using swarm AI, which correctly predicted the 2016 MLB playoffs and the Chicago Cubs as the World Series winner.
- Peter and Dan discuss how we will find out the true meaning of “being a human” in the next few years as AI’s start becoming more and more capable.
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