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Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94

Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. There are very few people in this world who I would rather talk to and brainstorm with about deep learning, intelligence, and life than Ilya, on and off the mic. Support this podcast by signing up with these sponsors: - Cash App - use code "LexPodcast" and download: - Cash App (App Store): https://apple.co/2sPrUHe - Cash App (Google Play): https://bit.ly/2MlvP5w EPISODE LINKS: Ilya's Twitter: https://twitter.com/ilyasut Ilya's Website: https://www.cs.toronto.edu/~ilya/ 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 2:23 - AlexNet paper and the ImageNet moment 8:33 - Cost functions 13:39 - Recurrent neural networks 16:19 - Key ideas that led to success of deep learning 19:57 - What's harder to solve: language or vision? 29:35 - We're massively underestimating deep learning 36:04 - Deep double descent 41:20 - Backpropagation 42:42 - Can neural networks be made to reason? 50:35 - Long-term memory 56:37 - Language models 1:00:35 - GPT-2 1:07:14 - Active learning 1:08:52 - Staged release of AI systems 1:13:41 - How to build AGI? 1:25:00 - Question to AGI 1:32:07 - Meaning of life CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

Lex FridmanhostIlya Sutskeverguest
May 8, 20201h 37mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
May 8, 2020
Duration
1h 37m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. There are very few people in this world who I would rather talk to and brainstorm with about deep learning, intelligence, and life than Ilya, on and off the mic. Support this podcast by signing up with these sponsors:

EPISODE LINKS: Ilya's Twitter: https://twitter.com/ilyasut Ilya's Website: https://www.cs.toronto.edu/~ilya/ 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 2:23 - AlexNet paper and the ImageNet moment 8:33 - Cost functions 13:39 - Recurrent neural networks 16:19 - Key ideas that led to success of deep learning 19:57 - What's harder to solve: language or vision? 29:35 - We're massively underestimating deep learning 36:04 - Deep double descent 41:20 - Backpropagation 42:42 - Can neural networks be made to reason? 50:35 - Long-term memory 56:37 - Language models 1:00:35 - GPT-2 1:07:14 - Active learning 1:08:52 - Staged release of AI systems 1:13:41 - How to build AGI? 1:25:00 - Question to AGI 1:32:07 - Meaning of life CONNECT:

SPEAKERS

  • Lex Fridman

    host
  • Ilya Sutskever

    guest
  • Narrator

    other

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Ilya Sutskever, Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 explores ilya Sutskever on Deep Learning’s Power, Limits, and Future AGI Lex Fridman and Ilya Sutskever trace the modern deep learning revolution from AlexNet and ImageNet to today’s large-scale vision, language, and reinforcement learning systems.

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