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20 Sep 2021

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

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Lex Fridman Podcast

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This podcast episode deep dives into the world of AI, delving into its evolution, influential figures, and the interplay between cognition, computation, and learning. Narrated by Jay McClelland, a pioneer in neural network research, the episode underscores the significance of connectionism, backpropagation, and the emergence of intrinsic motivation. It also reflects on the unique cognitive journey of renowned cognitive scientist David Rumelhart, highlighting the profound impact of formal training on the mind and the importance of embracing intrinsic motivation for personal growth. Exploring the nature of meaning through the lens of personal experiences, the episode concludes with McClelland's insights on the importance of curiosity-driven research in advancing our understanding of artificial intelligence and the human mind. The episode prompts listeners to ponder the intricate tapestry of neural networks, cognition, and the nature of meaning itself.
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