984: Building Skills Better in an AI-Driven World with Matt Beane

Matt Beane reveals how the quest to optimize productivity is harming our learning and growth–and what you can do about it.

— YOU’LL LEARN —

1) The trillion-dollar problem with trying to optimize everything

2) How to modify ChatGPT to help you learn better

3) Three counterintuitive ways to learn better and faster

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— ABOUT MATT —

Matt Beane does field research on work involving robots and AI to uncover systematic positive exceptions that we can use across the broader world of work. His award-winning research has been published in top management journals such as Administrative Science Quarterly and Harvard Business Review, and he has spoken on the TED stage. He also took a two-year hiatus from his PhD at MIT’s Sloan School of Management to help found and fund Humatics, a full-stack IoT startup. In 2012 he was selected as a Human-Robot Interaction Pioneer, and in 2021 was named to the Thinkers50 Radar list.

Beane is an assistant professor in the Technology Management department at the University of California, Santa Barbara, and a Digital Fellow with Stanford’s Digital Economy Lab and MIT’s Initiative on the Digital Economy. When he’s not studying intelligent technologies and learning, he enjoys playing guitar; his morning coffee ritual with his wife, Kristen; and reading science fiction—a lot of science fiction. He lives in Santa Barbara, California.

• Book: The Skill Code: How to Save Human Ability in an Age of Intelligent Machines

• Article: “Gen AI Is Coming for Remote Workers First”

• Substack: "Don't Let AI Dumb You Down"

• TED Talk: How do we learn to work with intelligent machines? | Matt Beane

• Website: MattBeane.com

— RESOURCES MENTIONED IN THE SHOW —

• Study: “GPTs are GPTs: An early look at the labor market impact potential of large language models” by Tyna Eloundou, Sam Manning, Pamela Mishkin, and Daniel Rock

• Book: Chip War: The Fight for the World's Most Critical Technology by Chris Miller

• Book: There Is No Antimemetics Division by qntm

— THANK YOU SPONSORS! —

• Jenni Kayne. Use the code AWESOME15 to get 15% off your order!

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