Technology & Prose artwork

Gary Marcus on Rebooting AI

Technology & Prose

English - February 11, 2021 09:43 - 44 minutes - 41 MB - ★★★★★ - 2 ratings
Technology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed


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 


Alphafold 
Mastering the game of Go in the absence of human knowledge 

 


Recorded on January 28th 2021

Twitter Mentions