Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11
Introduction
00:00 • 4min
Iaxi: A Bayesian Approach to Artificial General Intelligence
04:17 • 2min
The Problem With Turing Machines
06:07 • 4min
The Future of Artificial Intelligence
09:59 • 2min
The Importance of Computable and Uncomputable Models
12:17 • 3min
The Importance of Cognitive Bias in Decision Making
15:39 • 3min
The Pros and Cons of Generalization in Intelligence
18:25 • 4min
The Weak Hypothesis Approach for Binary Multiplication
22:37 • 5min
How to Define a Task in a Reinforcement Learning Model
27:53 • 2min
How to Predict the Performance of a String
29:47 • 2min
Bennet's Razor: A Deviation From the Idea of Simpleness
31:51 • 4min