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Computable AGI

Jul 3, 2023
36:13
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1
Introduction
00:00 • 4min
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2
Iaxi: A Bayesian Approach to Artificial General Intelligence
04:17 • 2min
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3
The Problem With Turing Machines
06:07 • 4min
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4
The Future of Artificial Intelligence
09:59 • 2min
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5
The Importance of Computable and Uncomputable Models
12:17 • 3min
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6
The Importance of Cognitive Bias in Decision Making
15:39 • 3min
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7
The Pros and Cons of Generalization in Intelligence
18:25 • 4min
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8
The Weak Hypothesis Approach for Binary Multiplication
22:37 • 5min
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9
How to Define a Task in a Reinforcement Learning Model
27:53 • 2min
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10
How to Predict the Performance of a String
29:47 • 2min
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11
Bennet's Razor: A Deviation From the Idea of Simpleness
31:51 • 4min
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On today’s show, we are joined by Michael Timothy Bennett, a Ph.D. student at the Australian National University. Michael’s research is centered around Artificial General Intelligence (AGI), specifically the mathematical formalism of AGIs. He joins us to discuss findings from his study, Computable Artificial General Intelligence.

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