Good point. But I imagine that thought transference must be the same - human brains are messes of neurons connected in patterns formed by birth and experience, and a thought process that works fine in one brain may not map correctly to another. In any machine capable of learning, the same kind of semi-random process must occur, and mapping a pattern from one will not fit correctly with another.

You can't take half the nodes from a neural network that recognises dogs and add them to a neural network that knows about laundry to get a network that knows how to wash dogs ;)