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Yann LeCun - How does the brain learn so much so quickly? (CCN 2017)
Kendrick Kay
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Oct 03, 2017
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visarga on
Brain vs. Deep Learning (2015)
If you want to make something intelligent, then you got to give it free hand to run experiments, to check if the correlations it detects are causal or not. I think that is the link between pattern recognition models from current day and AI. So the system must be made of an experimenter (implemented as a RL agent) and a lab (implemented as a simulator) - basically the same setup we use as humans to advance science.Current day philosophy is like current day ML - detects correlations but can't run experiments to filter out the bad ones, so they (philosophers) are stuck with a combinatorial explosion of theories. They key component missing is a good enough simulator, both at physical and abstract level.
Yann LeCun saying the main problem in AI is how to make a predictive model of the world (a simulator): https://youtu.be/cWzi38-vDbE?t=1933