> it is a completely-reasonable hypothesis that a scaled-up neural network can learn to recognize any pattern that a human might recognize, given that it has be

> it is a completely-reasonable hypothesis that a scaled-up neural network can learn to recognize any pattern that a human might recognize, given that it has been trained on sufficient data the hypothesis is a pattern recognition exercise in itself (i.e., looking at a number of documented occurences around algorithmic development and extrapolating), which I think neatly highlights the fundamental difference between human pattern recognition and machine pattern recognition