AI Terminology Evolution
The discussion highlights the shift in terminology from the mid-2000s, where AI was often associated with failed methods, to the current landscape where machine learning and AI are intertwined. Hugo reflects on the early days of zero data learning, expressing regret over the term used at the time, and notes how the focus has shifted to more task-specific problems rather than a broader understanding of intelligence.In this clip
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