Generally Intelligent

Episode 31: Bill Thompson, UC Berkeley, on how cultural evolution shapes knowledge acquisition

Mar 29, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
The Importance of Language Evolution
02:29 • 2min
3
The Evolution of Languages
04:39 • 2min
4
The Evolution of Learning
06:14 • 4min
5
The Connections Between Evolution and Optimization
09:44 • 2min
6
The Disentanglement of Learning and Learning in Language Evolution
11:37 • 2min
7
The Effects of Cultural Evolution on the Fitness Landscape
13:11 • 2min
8
The Importance of Cultural Evolution
14:59 • 2min
9
The Future of Experimental Design in Psychology
17:00 • 2min
10
The Effects of Different Transmission Algorithms on the Transmission of Knowledge
18:44 • 2min
11
How to Transmit a Sorting Algorithm Over Time
20:18 • 3min
12
How to Solve a Complex Problem in Computer Science
22:55 • 2min
13
How to Solve a Problem in 15 Comparisons
24:25 • 5min
14
The Effects of Trials on the Probability of Discovering Complex Algorithms
29:06 • 3min
15
The Role of Random Mixing in Learning
31:48 • 4min
16
The Effects of Selective Social Learning on Cognitive Ability
35:55 • 4min
17
The Complexity of Cognitive Processes
39:47 • 6min
18
Bayesian Inference in a Distributed, Sample-Based Way
45:22 • 3min
19
How to Improve Social Learning in a Social Network
48:11 • 2min
20
The Importance of Inner Speech in Social Learning
50:28 • 2min
21
The Different Levels of Aphantasia
52:42 • 2min
22
The Different Types of Aphantasia
54:19 • 2min
23
How to Measure Inner Speech
56:16 • 3min
24
The Relationship Between Social Learning and Knowledge Extraction
59:07 • 4min
25
The Importance of Agents in Learning
01:03:36 • 2min
26
The Future of Language Models
01:05:52 • 2min
27
The Future of Distributed Intelligence
01:07:39 • 2min
28
The Future of Cognitive Science
01:09:56 • 2min
29
The Power of Human Cultural Evolution
01:12:00 • 3min