Alan Turing — "The machine should be able to learn for itself."
The machine should be able to learn for itself.
The machine should be able to learn for itself.
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"I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicte…"
"The question of whether machines can think is a philosophical one, not a scientific one."
"We are all stardust."
"The machine should be able to carry out logical deductions."
"The human mind is a self-organizing system."
Attributed, general implication from his writings on machine learning, but exact quote is elusive.
Date: Approx. 1950
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A machine should not need every answer pre-programmed — it should improve through exposure to data and experience, discovering patterns on its own. Intelligence, Turing argued, means adapting rather than executing fixed instructions. This is the core premise of modern machine learning: instead of writing explicit rules, you train a system on examples and let it build its own model of the world.
Turing proposed this in his 1950 paper 'Computing Machinery and Intelligence,' the same paper introducing the Turing Test. His wartime work at Bletchley Park — building the Bombe to break Enigma — showed him that adaptive systems outperformed rigid ones. He genuinely believed machines could achieve human-level thought, and self-learning was the necessary mechanism. This conviction defined his entire research vision and made him the philosophical father of AI.
In 1950, computers were enormous vacuum-tube machines executing only fixed programs — there was no AI field, no neural networks, no concept of training data. The world was entering the Cold War, and government interest in computation was driven by code-breaking and ballistics. Turing's suggestion that machines should learn challenged every assumption of the era, foreshadowing a revolution in computing that would not fully arrive for another thirty years.
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