Alan Turing — "The idea of a 'thinking machine' is not something that should be taken lightly."
The idea of a 'thinking machine' is not something that should be taken lightly.
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More from Alan Turing
"The human mind is a parallel processor."
"The popular view is that the brain is a kind of telephone exchange. I believe that it is not quite as simple as that."
"The power of machines will one day be so great that they will be able to do anything we can do, and more."
"The question of whether machines can think is a philosophical one, not a scientific one."
"Programming is a skill best acquired by practice and example rather than from books."
Details
Attributed, general implication from his writings, but exact quote is elusive.
Date: Approx. 1950
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Understanding this quote
What it means
Machines capable of genuine thought carry consequences far beyond engineering — ethical, philosophical, and social. The quote urges serious intellectual engagement with machine cognition rather than dismissing it as fantasy or accepting it uncritically. Whether a machine can truly think forces us to reexamine consciousness, personhood, and what separates humans from sophisticated tools — questions with profound implications for law, morality, and the direction of civilization.
Relevance to Alan Turing
Turing spent his career making this idea concrete. His 1936 theoretical universal machine defined the limits of computation; his Bletchley Park work broke Enigma using mechanical logic; his 1950 paper 'Computing Machinery and Intelligence' proposed the Imitation Game to formally test machine thought. He understood better than anyone that dismissing or sensationalizing machine intelligence was dangerous — he had already built machines that altered history.
The era
In the late 1940s and early 1950s, the first practical computers — Colossus, ENIAC, the Manchester Baby — were operational and their power astonished the public. The Cold War made automation a military asset and an existential worry simultaneously. Thinkers like Turing, Norbert Wiener, and John von Neumann were urgently trying to define what machines could and could not do before policy, fear, or hype outran the science.
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