«It was not formulated in those terms,» LeCun recalls, «
because it was very difficult at that time actually to publish a paper if you mentioned the word «neurons» or «
neural nets.»
Sure, you could, in theory, look under the hood and review every position of every knob — that is, every parameter — in AlphaGo's artificial brain, but even a programmer would not glean much from these numbers
because their «meaning» (what drives a
neural net to make a decision) is encoded in the billions of diffuse connections between nodes.