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Josearmando Torres's avatar

Really interesting point that if AI handles more “mechanical work,” the scarce skills shift toward design, judgment, and interpretation.

How do you think graduate training should adapt to that? In particular, what “manual” skills do you still think students need to practice themselves (even if AI can do them faster) because they’re essential for developing good judgment?

Andy Hall's avatar

It’s a great question! Definitely game theory because it disciplines our thinking around what questions are interesting and how best to interpret estimates carefully. Definitely also stats/econometrics so you can tell good analyses from bad. And then tons of substantive stuff in your area—lots of on the ground knowledge

Scott Ashworth's avatar

Glad I wrote a book about how to think rather than how to drive a computer.

Jesse Parent's avatar

Agree; the contexts and disciplines that can identify problem spaces more robustly and across developmental states are going to become -- for those seriously enough to actually want to pursue deeper solutions and evolve or change systems -- increasingly indispensable. There is a need and hunger here that is not yet as apparent or overton-window friendly as it may become ahead.

Jesse Parent's avatar

Interesting things to consider re future of education: