Lex Fridman PodcastMichael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
Episode Details
EPISODE INFO
- Released
- December 13, 2020
- Duration
- 1h 56m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Michael Littman is a computer scientist at Brown University. Please support this podcast by checking out our sponsors:
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EPISODE LINKS: Michael's Twitter: https://twitter.com/mlittmancs Michael's Website: https://www.littmania.com/ Michael's YouTube: https://www.youtube.com/user/mlittman PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 2:30 - Robot and Frank 4:50 - Music 8:01 - Starring in a TurboTax commercial 18:14 - Existential risks of AI 36:36 - Reinforcement learning 1:02:24 - AlphaGo and David Silver 1:12:03 - Will neural networks achieve AGI? 1:24:30 - Bitter Lesson 1:37:20 - Does driving require a theory of mind? 1:46:46 - Book Recommendations 1:52:08 - Meaning of life CONNECT:
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SPEAKERS
Lex Fridman
hostMichael Littman
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Michael Littman, Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144 explores reinforcement Learning, AGI Fears, and Human Quirkiness with Michael Littman Lex Fridman and Michael Littman discuss the history and promise of reinforcement learning, from early temporal-difference methods and TD-Gammon to AlphaGo and modern self-play systems. They explore fears around AGI and existential risk, with Littman arguing that true superintelligence requires long, human-guided development rather than a sudden, uncontrollable leap. The conversation widens into the societal impact of AI and social media, the role of interaction in language and intelligence, and the limits of scale-alone approaches like GPT-3. Interwoven throughout are personal stories about teaching, music, commercials, parody songs, self-driving cars, and the meaning of life as a balancing act.
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