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#2 applies to humans as well. For example if I show a human something that looks and has all the properties of a car, the human will think I am showing him a car even if the thing I am showing him is actually called a feather.

Any neural net, artificial or not, can only recognize things as long as it looks similar to what it thinks the thing should look like.



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