What's Left for Humans After Automation

On Sunday we sent you a recap of key moments from Thesis: 2027, our first conference. Today we’re taking a closer look at Dan Shipper’s closing keynote, which argues that when everyone has the same AI models, what matters is your judgment about what’s good. Later, head of evals Mike Taylor shows you how to write down that judgment so you can test AI against it, and staff writer Laura Entis shares what our speakers told her backstage.—Kate Lee

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‘The Every Podcast’: Where humans belong in an AI future

What does great human work look like after automation?

Last week, we wrapped up Thesis: 2027, our conference dedicated to answering this question. In his closing keynote, Dan Shipper argues that figuring out what comes next for humans means predicting the future, and there are two ways to do that. The “aggregate” draws a trend line from troves of data. The “intimate” zooms in on one real situation and extrapolates from there. Seen through the aggregate, AI looks set to replace us, but up close, it looks very different. The intimate lens is how Every sees the future of work.