Data Skeptic

Computable AGI

Jul 3, 2023

36:13

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Episode notes

Introduction

4min

Iaxi: A Bayesian Approach to Artificial General Intelligence

2min

The Problem With Turing Machines

4min

The Future of Artificial Intelligence

2min

The Importance of Computable and Uncomputable Models

3min

The Importance of Cognitive Bias in Decision Making

3min

The Pros and Cons of Generalization in Intelligence

4min

The Weak Hypothesis Approach for Binary Multiplication

5min

How to Define a Task in a Reinforcement Learning Model

2min

10.

How to Predict the Performance of a String

2min

11.

Bennet's Razor: A Deviation From the Idea of Simpleness

4min

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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