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Lex Fridman PodcastOriol Vinyals: DeepMind AlphaStar, StarCraft, and Language | Lex Fridman Podcast #20
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Episode Details
EPISODE INFO
- Released
- April 29, 2019
- Duration
- 1h 46m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Oriol Vinyals is a senior research scientist at Google DeepMind. Before that he was at Google Brain and Berkley. His research has been cited over 39,000 times. He is one of the most brilliant and impactful minds in the field of deep learning. He is behind some of the biggest papers and ideas in AI, including sequence to sequence learning, audio generation, image captioning, neural machine translation, and reinforcement learning. He is a co-lead (with David Silver) of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep20-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *OUTLINE:* 0:00 - Introduction 0:55 - StarCraft and Gaming 13:31 - AlphaStar 1:07:00 - Turing test 1:12:32 - Current limits of deep learning 1:25:35 - Process of developing new ideas 1:30:45 - Artificial general intelligence 1:43:33 - Next steps *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostOriol Vinyals
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Oriol Vinyals, Oriol Vinyals: DeepMind AlphaStar, StarCraft, and Language | Lex Fridman Podcast #20 explores DeepMind’s AlphaStar: StarCraft Mastery, Language Roots, and Future AI Oriol Vinyals discusses leading DeepMind’s AlphaStar project, the first StarCraft II system to beat top professional players, and explains why StarCraft is a uniquely challenging testbed for AI compared to Go or Atari.
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