Alan Turing — "We can only see a short distance ahead, but we can see plenty there that needs t…"
We can only see a short distance ahead, but we can see plenty there that needs to be done.
We can only see a short distance ahead, but we can see plenty there that needs to be done.
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"The game of cricket is one such example of a game which can be played against the computer."
"The problem of artificial intelligence is to create machines that can learn and adapt."
"In the time of Galileo it was argued that the texts, 'And the sun stood still ... and hasted not to go down about a whole day' (Joshua x. 13) and 'He laid the foundations of the earth, that it should …"
"I've now got myself into the kind of trouble that I have always considered to be quite a possibility for me, though I have usually rated it at about 10:1 against."
"Hyperboloids of wondrous light. Rolling for age through Space and Time Harbour there Waves which somehow Might Play out God's holy pantomime."
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Despite limited foresight into the future, the immediate path ahead always presents clear, actionable problems worth solving. You don't need complete knowledge of where a journey ends to begin meaningful work. The visible horizon is enough to act on — progress comes from addressing what's directly in front of you rather than waiting for perfect clarity about distant outcomes.
Turing built the theoretical foundation of computing without knowing where it would lead. At Bletchley Park, he solved Enigma one day at a time, not knowing if the war would be won. His 1950 paper posing 'Can machines think?' tackled an immediate problem he could see clearly, even as the full implications of artificial intelligence remained unknowable decades away.
Written in 1950, amid post-WWII reconstruction and the Cold War's dawn, uncertainty pervaded every institution. Computing was embryonic — transistors invented just three years prior. Scientists like Turing operated without roadmaps, building disciplines from scratch. The atomic age had shattered confidence in long-range prediction, making this philosophy of focused, near-term problem-solving both practically necessary and intellectually honest.
AI-generated insights based on extensive research and information for context. Factual errors? Email [email protected].
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