AI Has Mastered Chess, Poker and Go. So Why Do We Keep Playing?

The board game Go has more possible board configurations than there are atoms in the universe. Because of that seemingly infinite complexity, developing software that could master Go has long been a goal of the AI community. In 2016, researchers at Google’s DeepMind appeared to meet the challenge. Their Go-playing AI defeated one of the best Go players in the world, Lee Sedol. After the match, Lee Sedol retired, saying that losing to an AI felt like his entire world was collapsing. He wasn’t alone. For a lot of people, the game represented a turning point – the moment where humans had been overtaken by machines. But Frank Lantz saw that game and was invigorated. Lantz is a game designer (his game “Hey Robot” is a recurring feature on The Tonight Show Starring Jimmy Fallon), the director of the NYU game center, and the author of The Beauty of Games. He’s spent his career thinking about how technology is changing the nature of games – and what we can learn about ourselves when we sit down to play them.

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Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching future. He’ll speak with entrepreneurs building world-changing technologies, lawmakers trying to ensure they’re safe, and journalists and scholars working to understand how they’re transforming our lives.