Lex Fridman & Jay McClelland , Lex Fridman Podcast

#222 – Jay McClelland: Neural Networks and the Emergence of Cognition

20 Sep 2021 • EN
1 min
00:00
00:00
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Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors: - Paperspace: https://gradient.run/lex to get $15 credit - Skiff: https://skiff.org/lex to get early access - Uprising Food: https://uprisingfood.com/lex to get $10 off 1st starter bundle - Four Sigmatic: https://foursigmatic.com/lex and use code LexPod to get up to 60% off - Onnit: https://lexfridman.com/onnit to get up to 10% off EPISODE LINKS: Jay's Website: https://stanford.edu/~jlmcc/ 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/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (07:12) - Beauty in neural networks (11:31) - Darwin and evolution (17:16) - The origin of intelligence (23:58) - Explorations in cognition (30:02) - Learning representations by back-propagating errors (36:27) - Dave Rumelhart and cognitive modeling (49:30) - Connectionism (1:12:23) - Geoffrey Hinton (1:14:19) - Learning in a neural network (1:31:11) - Mathematics & reality (1:38:19) - Modeling intelligence (1:48:57) - Noam Chomsky and linguistic cognition (2:03:18) - Advice for young people (2:14:26) - Psychiatry and exploring the mind (2:27:04) - Legacy (2:32:53) - Meaning of life

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