Dan Shipper argues human judgment matters most when AI models are shared
AIDan Shipper, in the closing keynote of Every's Thesis: 2027 conference, argues that when everyone has the same AI models, what matters is human judgment about what is good. He contrasts an "aggregate" view of the future, which extrapolates trend lines from large datasets and suggests AI will replace people, with an "intimate" view that examines one real situation.
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Original title: What's Left for Humans After Automation