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Try learning to ride bike with inverted steering, try to navigate world with your vision flipped over or use your non-dominant hand to do things that you normal

Try learning to ride bike with inverted steering, try to navigate world with your vision flipped over or use your non-dominant hand to do things that you normally do. Well, try to write on Azerty keyboard if you are Qwerty native (really, fk Azerty :P). Humans are also not a general intelligence. In certain sense Deep Reinforcement Learning is actually more general than human intelligence. For example, when playing games you can remove certain visual clues. It makes it almost impossible to play for humans, while Deep RL scores will not even budge. It means that Deep RL is more general, because it does not relay on certain priors, but it also makes it more stupid in narrow domain of human expertise. Try this game to see yourself: https://high-level-4.herokuapp.com/experiment https://high-level-4.herokuapp.com/experiment Here is bike with reverse steering: https://www.youtube.com/watch?v=MFzDaBzBlL0 https://www.youtube.com/watch?v=MFzDaBzBlL0 Here is flipped vision experiment: https://www.youtube.com/watch?v=MHMvEMy7B9k https://www.youtube.com/watch?v=MHMvEMy7B9k Human brains are amazing, but they also require certain amount of time to retrain when inputs/outputs are fundamentally changed. PS. I didn't hear about anyone testing different board sizes with AlphaZero-esque computer players. But I saw Leela Zero beating very strong humans, when rules of the game were modified so that that the human player could play 2 additional moves: https://www.youtube.com/watch?v=UFOyzU506pY https://www.youtube.com/watch?v=UFOyzU506pY

jmnicolas 7y ago
Fk QWERTY. (written from an AZERTY keyboard :p )
rytill 7y ago
Perfect explanation, down to earth and could be ELI5. Humans are so specialized.
inimino 7y ago
This is true too, we are adapted to our environment, in particular the things that we do automatically (System I). Playing chess well is a combination of both conscious and unconscious skills. However when deep learning systems play, it is all the unconscious, automatic application of statistical rules. They are playing a very different game from the human chess game. Because there is no abstract reasoning involved here, these systems cannot apply the lessons learned from chess to another board game, or to something completely different in life, which humans can and do. So even though they are much stronger than human players, they aren't strong in the same way.

jmnicolas 7y ago

Fk QWERTY. (written from an AZERTY keyboard :p )

rytill 7y ago

Perfect explanation, down to earth and could be ELI5. Humans are so specialized.

inimino 7y ago

This is true too, we are adapted to our environment, in particular the things that we do automatically (System I). Playing chess well is a combination of both conscious and unconscious skills. However when deep learning systems play, it is all the unconscious, automatic application of statistical rules. They are playing a very different game from the human chess game. Because there is no abstract reasoning involved here, these systems cannot apply the lessons learned from chess to another board game, or to something completely different in life, which humans can and do. So even though they are much stronger than human players, they aren't strong in the same way.