Dan Shipper argues human judgment matters most when AI models are shared
Overview
Dan Shipper, in the closing keynote of Every's Thesis: 2027 conference, argues that when everyone has access to the same AI models, the differentiator 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 a single real situation.
The report is a summary of a keynote talk and does not include supporting data or outcomes beyond Shipper's stated argument.
Written by AI from the articles below · updated Nov 11, 12:27 PM ET
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- EveryBlogDan 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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