In 2016, at an AI conference in NYC, I explained artificial consciousness, world models, predictive coding, and science as data compression in less than 10 minutes. I happened to be in town, walked in without being announced, and ended up on their panel. It was great fun.
Organizer: @davidchalmers42
Distinguished panel members:
@kahneman_daniel
Susan Schneider
@GaryMarcus
Jaan Tallin
Original YouTube video:
https://www.youtube.com/watch?v=X9zlvQiGsUE
29:40-39:15
Two relevant pages from the AI Blog:
1990: planning & reinforcement learning with recurrent world models and artificial curiosity. This yields a simple explanation of consciousness and self-awareness: https://people.idsia.ch/~juergen/world-models-planning-curiosity-fki-1990.html
1991: first very deep learning with self-supervised pre-training. A conscious chunker recurrent neural net (RNN) attends to unexpected events that surprise a lower-level subconscious automatiser RNN. The automatiser uses neural network distillation to compress and absorb the formerly conscious insights and behaviours of the chunker, thus making them subconscious: https://people.idsia.ch/~juergen/very-deep-learning-1991.html
Interview:
2016: J. Carmichael. Artificial Intelligence Gained Consciousness in 1991. Why A.I. pioneer Jürgen Schmidhuber is convinced the ultimate breakthrough already happened. Inverse, 2016. https://www.inverse.com/article/25521-juergen-schmidhuber-ai-consciousness
