How to create Artificial General Intelligence? | True AI

Let's review 4 potential approaches to True AI creation.

Contents of this video:
0:00 Introduction
0:13 Approach 1: Simulation
2:12 Approach 2: Evolvement of modern machine and deep learning techniques
3:34 Approach 3: Genetic algorithms
4:36 Approach 4: Deriving the first or fundamental principles of natural intelligence
5:38 Plans

Links:
Approach one:
Simulation: https://en.wikipedia.org/wiki/Simulation

DNA: https://en.wikipedia.org/wiki/DNA
Protein: https://en.wikipedia.org/wiki/Protein
Connectome: https://en.wikipedia.org/wiki/Connectome
Caenorhabditis elegans: https://en.wikipedia.org/wiki/Caenorhabditis_elegans

Approach two:
Machine learning: https://en.wikipedia.org/wiki/Machine_learning
Holography: https://en.wikipedia.org/wiki/Holography
Deep learning: https://en.wikipedia.org/wiki/Deep_learning
Unsupervised learning: https://en.wikipedia.org/wiki/Unsupervised_learning
Autoencoder: https://en.wikipedia.org/wiki/Autoencoder
Generative adversarial network: https://en.wikipedia.org/wiki/Generative_adversarial_network

Approach three:
Genetic algorithm: https://en.wikipedia.org/wiki/Genetic_algorithm
Fitness function: https://en.wikipedia.org/wiki/Fitness_function

Attribution:
https://commons.wikimedia.org/wiki/File:White_Matter_Connections_Obtained_with_MRI_Tractography.png
Xavier Gigandet et. al., CC BY 2.5 [https://creativecommons.org/licenses/by/2.5], via Wikimedia Commons

https://commons.wikimedia.org/wiki/File:CrawlingCelegans.gif
Bob Goldstein http://labs.bio.unc.edu/Goldstein/movies.html, CC BY-SA 3.0 [http://creativecommons.org/licenses/by-sa/3.0/], via Wikimedia Commons