BI 100.3 Can We Scale Up to AGI with Current Tech? @braininspired
BI 100.3 Can We Scale Up to AGI with Current Tech?  @braininspired
Uploaded March 2021 | Updated September 2026, 8 hours ago
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Show notes: braininspired.co/podcast/100-3

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
BI 100.3 Can We Scale Up to AGI with Current Tech?BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISysBI 232 How Should Neuroscience Integrate with Ecological Psychology?Languages Limits Data & ArtBI 184 Peter Stratton: Synthesize Neural PrinciplesCaitlin Clarks 10,000th Jump ShotBI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model SystemsBrain vs Computer: A New FrameworkBI 101 Steve Potter: Motivating Brains In and Out of DishesBI 188 Jolande Fooken: Coordinating Action and PerceptionBI 164 Gary Lupyan: How Language Affects ThoughtBI 215 Xiao-Jing Wang: Theoretical Neuroscience Comes of Age
Brain Inspired |

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

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