Alan Turing — "The machine can only do what we tell it to do. But what if we tell it to learn?"
The machine can only do what we tell it to do. But what if we tell it to learn?
Get This Quote & Author's Image Illustrated On:
Click any product to generate a realistic preview. Up to 3 at a time.
* Initial load can take up to 90 seconds — revising the preview in another color is nearly instant.
Kitchen
Apparel
Other
More from Alan Turing
"The story of how it all came to be found out is a long and fascinating one, which I shall have to make into a short story one day, but haven't the time to tell you now."
"One day ladies will take their computers for walks in the park and tell each other, 'My little computer said such a funny thing this morning'."
"The human mind is a pattern-matching machine."
"The problem of artificial intelligence is to create machines that can learn and adapt."
"The only way to do great work is to love what you do."
Details
Attributed, general implication from his writings on machine learning, but exact quote is elusive.
Date: Approx. 1950
ShockingVerification
Unverifiable
Found in 1 providers: grok
1 source checked
Understanding this quote
What it means
The quote challenges the assumption that computers are purely mechanical executors of fixed instructions. It acknowledges the real constraint — machines do only what they're programmed to do — then pivots to a transformative question: what if the instruction itself is to acquire new capabilities? This is the conceptual seed of machine learning: not programming answers, but programming the capacity to discover answers through experience.
Relevance to Alan Turing
Turing's 1950 paper 'Computing Machinery and Intelligence' proposed the Turing Test and explicitly theorized 'child machines' that learn rather than execute fixed programs. He worked at Bletchley Park designing adaptive decryption logic against Enigma, and later at Manchester developing early neural network concepts. His entire career was built on pushing computation beyond rote instruction into genuine problem-solving capacity.
The era
In the late 1940s and 1950s, computers were enormous, expensive calculators running deterministic programs for military and scientific tasks. The Cold War accelerated computing investment, but the dominant view held that machines were tools, never minds. Psychology was dominated by behaviorism. Against this backdrop, Turing's suggestion that machines might learn rather than simply execute was a profound philosophical and scientific provocation.
AI-generated insights based on extensive research and information for context. Factual errors? Email [email protected].