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BI 100.3 Special: Can We Scale Up to AGI with Current Tech?

BI 100.3 Special: Can We Scale Up to AGI with Current Tech?

FromBrain Inspired


BI 100.3 Special: Can We Scale Up to AGI with Current Tech?

FromBrain Inspired

ratings:
Length:
69 minutes
Released:
Mar 17, 2021
Format:
Podcast episode

Description

Part 3 in our 100th episode celebration. Previous guests answered the question:



Given the continual surprising progress in AI powered by scaling up parameters and using more compute, while using fairly generic architectures (eg. GPT-3):



Do you think the current trend of scaling compute can lead to human level AGI? If not, what's missing?



It likely won't surprise you that the vast majority answer "No." It also likely won't surprise you, there is differing opinion on what's missing.







Timestamps:



0:00 - Intro
3:56 - Wolgang Maass
5:34 - Paul Humphreys
9:16 - Chris Eliasmith
12:52 - Andrew Saxe
16:25 - Mazviita Chirimuuta
18:11 - Steve Potter
19:21 - Blake Richards
22:33 - Paul Cisek
26:24 - Brad Love
29:12 - Jay McClelland
34:20 - Megan Peters
37:00 - Dean Buonomano
39:48 - Talia Konkle
40:36 - Steve Grossberg
42:40 - Nathaniel Daw
44:02 - Marcel van Gerven
45:28 - Kanaka Rajan
48:25 - John Krakauer
51:05 - Rodrigo Quian Quiroga
53:03 - Grace Lindsay
55:13 - Konrad Kording
57:30 - Jeff Hawkins
102:12 - Uri Hasson
1:04:08 - Jess Hamrick
1:06:20 - Thomas Naselaris
Released:
Mar 17, 2021
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.