Gary Marcus on Rebooting AI

Gary Marcus , Professor Emeritus at NYU and co-founder of Robust.ai , discusses his recent book Rebooting AI: Building Artificial Intelligence We Can Trust . On this episode of Technology & Prose, Gary Marcus joins host Nikita Aggarwal to talk about the “AI chasm”— the gap between the goals and reality of artificial intelligence (1:40) GPT-3 and the limits of deep learning (4:38) how to build AI systems that have knowledge, reasoning and understanding (9:14) the politics of AI research (and more on the limits of GPT-3) (16:00) innate knowledge in machines and the need for a hybrid approach to building AI (33:25) the Montreal AI Debates, the System 1/ System 2 analogy and lessons from developmental psychology (37:04) and Gary's new venture, Robust.ai (43:15) . References Marcus, Deep Learning: a Critical Appraisal Goyal and Bengio, Inductive Biases for Deep Learning of Higher-Level Cognition LeCun, Hinton, Bengio, Deep Learning Kahneman, Thinking Fast and Slow Montreal AI debates ; Marcus, Guitar Zero: The Science of Learning to be Musical GPT-3 Open AI’s GPT-3 model Marcus and Davis on GPT-3 in MIT Tech Review Guardian article ‘written’ by GPT-3 Yann LeCun on GPT-3 DeepMind Alphafold Mastering the game of Go in the absence of human knowledge Recorded on January 28th 2021

You can listen to Gary Marcus on Rebooting AI online on Radio and Podcast. Open the player on this page to stream the available audio.

Gary Marcus on Rebooting AI is an episode from Technology & Prose by Nikita Aggarwal.

This episode is 44:49 long.

This episode was published on Feb 11, 2021.

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