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In the summer of 1956, researchers gathered at Dartmouth College for a workshop about whether machines could do intelligent work.
People visited for different lengths of time.
The year before, the organizers had asked a foundation to fund the meeting. Their proposal rested on an enormous belief: every part of learning and intelligence could be described precisely enough for a machine to reproduce it.
That was the bet.