Alan Turing — "The original question, 'Can machines think?' I believe to be too meaningless to …"
The original question, 'Can machines think?' I believe to be too meaningless to deserve discussion.
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More from Alan Turing
"The important thing is not to stop questioning."
"If a machine is expected to be infallible, it cannot also be intelligent."
"There are many questions which we shall have to answer, for example, what is the nature of consciousness?"
"Programming is a skill best acquired by practice and example rather than from books."
"My interest in the brain is not so much in its structure, but in its function."
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Understanding this quote
What it means
Turing dismisses the question of machine intelligence as philosophically confused rather than answering it directly. Instead of debating an ill-defined concept like 'thinking,' he proposes replacing it with a concrete, testable criterion: the Imitation Game. If a machine can fool a human interrogator into believing it's human, the question of whether it truly 'thinks' becomes irrelevant. Precision in framing questions matters more than debating vague abstractions.
Relevance to Alan Turing
Turing spent his career translating abstract problems into precise, computable formulations — from breaking Enigma ciphers at Bletchley Park to defining computability itself. His 1950 paper 'Computing Machinery and Intelligence' exemplifies this instinct: rather than philosophizing, he operationalized the question. His life was defined by rigorous pragmatism, cutting through conceptual noise to find what could actually be measured, built, and solved.
The era
In 1950, computers were room-sized machines performing basic arithmetic, yet Cold War pressure accelerated their development rapidly. Philosophers and scientists fiercely debated whether machines could ever truly reason. Turing's era saw the birth of cybernetics and information theory — disciplines forcing humanity to reconsider consciousness and intelligence. His reframing arrived precisely when society needed clearer thinking about what humanity's new computational tools actually were and could become.
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