Alan Turing — "The machine has to be able to do something which it has never been programmed to…"
The machine has to be able to do something which it has never been programmed to do.
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More from Alan Turing
"The machine should be able to learn from experience."
"The original question, 'Can machines think?' I believe to be too meaningless to deserve discussion. Nevertheless I believe that at the end of the century the use of words and general educated opinion …"
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Understanding this quote
What it means
True intelligence — human or machine — isn't just executing memorized instructions. A genuinely intelligent machine must generalize: facing a new problem it was never explicitly taught to solve, it should still find an answer. That gap between stored rules and novel action is where real thinking begins. It's the foundational idea behind modern machine learning, where systems trained on data handle situations no programmer ever anticipated.
Relevance to Alan Turing
Turing's landmark 1950 paper 'Computing Machinery and Intelligence' proposed the Turing Test and explored 'learning machines' — systems that adapt beyond initial programming. At Bletchley Park, he cracked Enigma not by brute memorization but by inferring hidden patterns, the same generalization he demanded of machines. Turing believed intelligence meant escaping rigid rules, a conviction his own unconventional, boundary-breaking thinking consistently demonstrated.
The era
In the early 1950s, computers were enormous fixed-program machines — the Manchester Mark 1, ENIAC — strictly executing predefined instructions. The Cold War drove urgent interest in computation, but thinking machines were philosophical fantasy, not engineering goals. Turing's 1950 paper dropped into that world like a provocation: at a moment when programmers wrote every instruction by hand, he was already asking whether machines could outgrow their own code.
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