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Gary Marcus on Rebooting AI
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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 https://montrealartificialintelligence.com/aidebate/ ; https://montrealartificialintelligence.com/aidebate2.html
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
Recorded on January 28th 2021
11 episoder
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