Lex Fridman Podcast

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

09.20.2021 - By Lex FridmanPlay

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Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors:

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EPISODE LINKS:

Jay's Website: https://stanford.edu/~jlmcc/

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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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