DiscoverMIT Technology Review NarratedIn Machines We Trust: How games teach AI to learn for itself (Update)
In Machines We Trust: How games teach AI to learn for itself (Update)

In Machines We Trust: How games teach AI to learn for itself (Update)

Update: 2023-01-041
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Description

From chess to Jeopardy to e-sports, AI is increasingly beating humans at their own games. But that was never the ultimate goal. In this episode we dig into the symbiotic relationship between games and AI. We meet the big players in the space, and we take a trip to an arcade.



We Meet: 

Julian Togelius

Will Douglas-Heaven

David Silver 

David Fahri 




We Talked To: 

Julian Togelius

Will Douglas-Heaven

Karen Hao

David Silver 

David Fahri 

Natasha Regan




Sounds From:


Jeopardy 2011-02:The IBM Challenge

https://archive.org/details/Jeopardy.2011.02.The.IBM.Challenge/Jeopardy.2011.02.16.The.IBM.Challenge.Day.3.HDTV.XviD-FQM.avi 


Garry Kasparov VS Deep Blue 1997 6th game (Kasparov Resigns)

https://www.youtube.com/watch?v=EsMk1Nbcs-s 


Attack Like AlphaZero: The Power of the King

https://www.youtube.com/watch?v=c0JK5Fa3AqI 


Miracle Perfect Anti Mage 16/0 - Dota 2 Pro Gameplay

https://www.youtube.com/watch?v=59KnNcU9iKc 


DOTA 2 - ALL GAME-WINNING Moments in The International History (TI1-TI9)

https://www.youtube.com/watch?v=RJcNbuASl-Y 



Credits:

This episode was reported by Jennifer Strong and Will Douglas Heaven and produced by Anthony Green, Emma Cillekens and Karen Hao. We’re edited by Niall Firth, Michael Reilly and Mat Honan. Our mix engineer is Garret Lang. Sound design and music by Jacob Gorski.

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In Machines We Trust: How games teach AI to learn for itself (Update)

In Machines We Trust: How games teach AI to learn for itself (Update)

MIT Technology Review