"Geoffrey Hinton argued in 2016 that people should stop training radiologists because deep learning would outperform them within approximately five years."
This contemporaneous account of the Toronto Machine Learning and Market for Intelligence conference records Hinton's warning through participant notes and social media posts from October 2016. It establishes the historical prediction that later became a prominent example of the hazards of extrapolating from technical capability to professional replacement.
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