What's Your Problem?

Josh Tyrangiel is the author of “AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter.” On today’s show, Josh talks about some of these real people and the problems they’re working on: a professor trying to understand her nonverbal son, a general who delivered millions of Covid vaccines in 2021, and a hospital CEO trying to reduce the rate of deadly infections.
In this episode, Josh explains:
Where AI is helping to reduce hospital infections (and where it’s struggling)
Why distributing the Covid vaccine was almost as hard as creating it
Why convincing people to use AI is often the hardest problem to solve
Why we should use nuclear weapons as a model for regulating AI
Connect with us:
Follow Jacob Goldstein on LinkedIn, X and Instagram
Email us at problem@pushkin.fm
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Listen to Jacob’s other show, Business History
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Betsey Stevenson is a labor economist at the University of Michigan, and she was an economic adviser to President Obama. Betsey’s problem is this: How can we create a world where the benefits of AI are broadly shared?
Betsey draws on history – including how the invention of household appliances created a crisis of meaning for American women – to understand how we should respond to the challenge of AI. And she suggests policies to help spread the wealth AI could bring.
In this episode, Betsey explains:
How Engels’ Pause serves as a warning for workers
How 20th century women adapted to automation
How AI has changed life for college students
The argument for taxing AI firms and distributing the proceeds to the public
Connect with us:
Follow Jacob Goldstein on LinkedIn, X and Instagram
Email us at problem@pushkin.fm
Follow Pushkin on Instagram, LinkedIn or X
Listen to Jacob’s other show, Business History
To listen to the show early and ad free, sign up for Pushkin+
See omnystudio.com/listener for privacy information.

Maps have gotten much better over the past few decades. But they're still mostly two dimensional, and they struggle to keep up with a world that is always changing. Brian McClendon is the Chief Technology Officer of Niantic Spatial, a spinout of the company that makes Pokémon Go. Brian's problem is this: How do you build a three-dimensional map of the world that both robots and humans can use to find their way?
In this episode, Brian explains:
What he learned building Google Earth
How Pokémon Go players helped build the foundation for robot navigation
What it will take to teach AI to understand the physical world.
Why GPS is so bad in cities
 Why trees are such a big problem for digital mapmakers
Connect with us:
Follow Jacob Goldstein on LinkedIn, X and Instagram
Email us at problem@pushkin.fm
Follow Pushkin on Instagram, LinkedIn or X
Listen to Jacob’s other show, Business History
To listen to the show early and ad free, sign up for Pushkin+
See omnystudio.com/listener for privacy information.

Dan Shipper is the co-founder and CEO of Every, a company that publishes newsletters about AI, develops AI-related software, and helps other companies use AI. Dan has two problems. One, how do you build a company where almost everybody has their own AI agent? And two, how do you use AI as a tool to improve your writing, rather than as a replacement for writing?
In this episode, Dan explains:
Why managing agents will be a core skill of the future
Why AI agents won’t replace you anytime soon
How writers learn faster than AI models
How to give AI the social skills to work in group settings
How AI can help you better understand yourself
Check out Every at their website: https://every.to/
Connect with us:
Follow Jacob Goldstein on LinkedIn, X and Instagram
Email us at problem@pushkin.fm
Follow Pushkin on Instagram, LinkedIn or X
Listen to Jacob’s other show, Business History
To listen to the show early and ad free, sign up for Pushkin+
See omnystudio.com/listener for privacy information.

The apples you can buy at the grocery store have gotten profoundly better over the past few decades. It’s a kind of everyday, hiding-in-plain sight innovation.  Kate Evans is an apple breeder and professor at Washington State University. Kate's problem is this: How do you invent a better apple?
With her team, Kate has in fact invented a new kind of apple called the Sunflare. It’s arriving in stores in a few years. She also helped to invent the Cosmic Crisp, which is out already.
In this episode, Kate explains:
Why grocery-store apples have gotten so much better
Why some of the most delicious apples never make it into stores
Why it takes decades to invent a new kind of apple
How much more we have to learn about apple genetics
How the apple industry is adapting to climate change
Connect with us:
Follow Jacob Goldstein on LinkedIn, X and Instagram
Email us at problem@pushkin.fm
Follow Pushkin on Instagram, LinkedIn or X
Listen to Jacob’s other show, Business History
To listen to the show early and ad free, sign up for Pushkin+
See omnystudio.com/listener for privacy information.