Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
Introduction
00:00 • 2min
The Bifurcation of Theory and Data
02:22 • 4min
The Origins of Neural Networks
06:21 • 3min
The History of Neural Nets
09:31 • 2min
The Importance of Regularities in Complex Domains
11:53 • 3min
The Uncanny Valley of Complexity
15:12 • 2min
The Pros and Cons of Adaptive Computation
17:18 • 2min
The Concilience of Traditional Linguists and Language Understanding
19:45 • 2min
The Poverty of the Stimulus
21:33 • 4min
How to Use Deep Neural Networks for Parsimonious Science
25:38 • 3min
The Importance of Symbolic Regression in Astronomy
28:26 • 2min
The New Way of Doing Science
30:31 • 2min
The Importance of Knowledge in Model Building
32:12 • 2min
The Cognitive Synergy of Deep Learning
34:23 • 2min
The Evolution of Human Intelligence
36:37 • 3min
The Importance of Complexity in Games
39:18 • 2min
The Power of Neural Nets in Complexity Science
41:35 • 2min
The History of Science and Technology
43:47 • 3min
The Importance of Constructs in Economics
46:45 • 2min
The Complexity of Adaptive History
48:36 • 2min
The Importance of Structure in Neural Nets
51:05 • 3min
The Importance of Creativity in the Movie Writing Process
54:26 • 5min
The Importance of Bandwidth Limitations in Scientific Revolutions
59:23 • 2min
The Polyannas of Machine Learning
01:00:56 • 2min
The Importance of Intelligence
01:02:59 • 4min
Darwin's Dangerous Idea
01:07:15 • 2min
The Paradox of Meta-Oaken
01:09:16 • 3min
The Paradox of Evolutionary Time
01:12:40 • 2min
Complexity Science and Physical Theory Substitute Parsimony
01:14:35 • 2min
The Existential Risk of Models
01:16:08 • 4min
The Risks of Narrow AI
01:19:47 • 2min
The History of Genetic Engineering
01:22:16 • 2min
The Future of Technology
01:24:01 • 6min
The Future of Social Media
01:29:40 • 2min
The Problem With Outsourcing Human Judgment
01:32:04 • 3min