Alan Turing — "The extent to which we regard something as a machine is a matter of degree."
The extent to which we regard something as a machine is a matter of degree.
The extent to which we regard something as a machine is a matter of degree.
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"The more we learn about the brain, the more we realize that it is a very complex machine."
"I'm afraid that the following syllogism may be used by some in the future. Turing believes machines think. Turing lies with men. Therefore machines do not think. Yours in distress, Alan."
"The idea behind digital computers may be explained by saying that these machines are intended to carry out any operations which could be done by a human computer."
"The original question, 'Can machines think?' I believe to be too meaningless to deserve discussion."
"A computer would deserve to be called intelligent if it could deceive a human into believing that it was human."
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Whether something qualifies as a 'machine' isn't binary — it exists on a spectrum. Intelligence, behavior, and mechanism blend into each other. You can't draw a clean line between a simple gear and a complex system; the distinction is one of complexity and interpretation, not an absolute categorical difference between machine and non-machine.
Turing spent his career dissolving false dichotomies — his famous Turing Test asked not 'is this machine conscious?' but 'can you tell the difference?' He broke Enigma by treating enemy machinery as predictable logic, and his work on morphogenesis showed biological patterns emerging from mechanical chemical processes. Gradations, not categories, defined his thinking.
Post-WWII computing was redefining what machines could do — ENIAC launched in 1945, stored-program computers emerged, and cybernetics questioned the boundary between organisms and mechanisms. Norbert Wiener's work on feedback systems blurred biology and engineering. Society was grappling with whether these new calculating engines were tools or something unsettlingly closer to minds.
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