Why Learn Something That a Machine Can Do for You?
Summary
Hosts Julie Beck and Natalie Brennan interview cognitive psychologist Michelle Miller about the purpose of learning in the age of AI. They explore whether outsourcing tasks to technology diminishes human agency, arguing that learning builds the mind and fosters connection. The discussion highlights how intentional effort, rather than convenience, gives learning its meaning and value for individual growth and democracy.
Topics discussed
Sponsors: LinkedIn Hiring Pro and Tidy Cats
Introduction: Michelle Miller and the purpose of learning
The shift from coding to AI prompting and the value of learning
Michelle Miller on archery, knitting, and technology as tools
The ultimate purpose of learning: agency and connection
When technology helps: Retrieval practice and educational tools
When technology hinders: Episodic memory and attention
The value of learning skills you can outsource to AI
AI vs. Calculators: Outsourcing tasks vs. thought processes
Maintaining human control and intentionality with AI
Sponsors: LinkedIn Hiring Pro and Tidy Cats
Learning, critical thinking, and the health of democracy
Reframing technology: A mirror, not a pollutant
Learning Korean: The value of effort and connection
Cognitive benefits of learning and investing care
Credits and preview of next week's episode
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