Repository of resources about progresses toward the understanding of human intelligence and artificial general intelligence (AGI). I am not interested here specifically about the progresses and research made in machine learning however some research on ML might be relevant to the discussion. I will not discuss here the dangers/ethical issues raised by the use of AGI/AI/ML.
I will try to provide links pointing to open resources whenever possible, but some articles might require access through your institution.
I will section, I will put forward works that have allowed significant progress toward the understanding of intelligence or the development of an AGI. I will give priority to works that present general theories or models of intelligence rather than specialized studies.
Driven by Compression Progress, J. Schmidhuber
Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex, J. Hawkins et al
Mastering Atari, Go, chess and shogi by planning with a learned model, J. Schrittwieser et al
An Attempt at a Unified Theory of the Neocortical Microcircuit in Sensory Cortex, M. Benett
Self-supervised learning: The dark matter of intelligence, Y. LeCun
Reward is enough, D. Silver et al
Interview: Lisa Feldman Barrett: How the Brain Creates Emotions
Interview: Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs
Interview: François Chollet: Keras, Deep Learning, and the Progress of AI
Numenta including their GitHub
Dalle Molle Institute for Artificial Intelligence Research
Allen institute for brain science
Richard S. Sutton personal page
Geoffrey E. Hinton personal page
Lex Fridman Artificial Intelligence Podcast
The Hierarchical Temporal Memory school series