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The Ezra Klein Show

How Should I Be Using A.I. Right Now?

The Ezra Klein Show

New York Times Opinion

Society & Culture, Government, News

4.611K Ratings

🗓️ 2 April 2024

⏱️ 75 minutes

🧾️ Download transcript

Summary

There’s something of a paradox that has defined my experience with artificial intelligence in this particular moment. It’s clear we’re witnessing the advent of a wildly powerful technology, one that could transform the economy and the way we think about art and creativity and the value of human work itself. At the same time, I can’t for the life of me figure out how to use it in my own day-to-day job. So I wanted to understand what I’m missing and get some tips for how I could incorporate A.I. better into my life right now. And Ethan Mollick is the perfect guide: He’s a professor at the Wharton School at the University of Pennsylvania who’s spent countless hours experimenting with different chatbots, noting his insights in his newsletter One Useful Thing and in a new book, “Co-Intelligence: Living and Working With A.I.” This conversation covers the basics, including which chatbot to choose and techniques for how to get the most useful results. But the conversation goes far beyond that, too — to some of the strange, delightful and slightly unnerving ways that A.I. responds to us, and how you’ll get more out of any chatbot if you think of it as a relationship rather than a tool. Mollick says it’s helpful to understand this moment as one of co-creation, in which we all should be trying to make sense of what this technology is going to mean for us. Because it’s not as if you can call up the big A.I. companies and get the answers. “When I talk to OpenAI or Anthropic, they don’t have a hidden instruction manual,” he told me. “There is no list of how you should use this as a writer or as a marketer or as an educator. They don’t even know what the capabilities of these systems are.” Book Recommendations: The Rise and Fall of American Growth by Robert J. Gordon The Knowledge by Lewis Dartnell Blindsight by Peter Watts Thoughts? Guest suggestions? Email us at [email protected]. You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs. This episode of “The Ezra Klein Show” was produced by Kristin Lin. Fact-checking by Michelle Harris, with Mary Marge Locker and Kate Sinclair. Our senior engineer is Jeff Geld, with additional mixing from Efim Shapiro. Our senior editor is Claire Gordon. The show’s production team also includes Annie Galvin and Rollin Hu. Original music by Isaac Jones. Audience strategy by Kristina Samulewski and Shannon Busta. The executive producer of New York Times Opinion Audio is Annie-Rose Strasser. Special thanks to Sonia Herrero.

Transcript

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0:00.0

From New York Times opinion, this is the Ezra Klein Show. This feels wrong to me, but I've checked the dates. It was barely more than a year ago that I wrote this piece about AI with the title, This Changes Everything. I ended up reading it on the show too. And the piece was

0:35.0

about the speed with which AI systems were improving. It argued that we can

0:40.1

usually trust that tomorrow is going to be roughly like today, the next year is

0:44.0

going to be roughly like this year. That's not what we're seeing here. These systems

0:48.7

are growing in power and capabilities at an astonishing rate. The growth is exponential, not linear.

0:56.0

When you look at surveys of AI researchers, their timeline for how quickly AI is going to be able to do

1:01.2

basically anything a human does better and more cheaply than a human.

1:05.0

The timeline is accelerating year by year on these surveys.

1:08.2

When I do my own reporting talking to the people inside these companies, people at this strange intersection of excited and terrified of what they're

1:14.9

building, no one tells me they are seeing a reason to believe progress is

1:18.6

going to slow down. And you might think that's just hype, but a lot of them want it to slow down.

1:23.3

A lot of them are scared of how quickly it is moving. They don't think that society is

1:27.6

ready for it, the regulation is ready for it. They think the competitive

1:31.4

pressures between the companies and the countries are dangerous.

1:34.3

They wish something would happen to make it all go slower. But what they are seeing is they are

1:38.8

hitting the milestones faster, that we're getting closer and closer to truly transformational AI, that there is so much money and

1:45.8

talent and attention flooding into the space that that is becoming its own accelerant.

1:51.1

They are scared, we should at least be paying attention.

1:55.2

And yet I find living in this moment really weird because as much as I know this wildly

2:00.2

powerful technology is emerging beneath my fingertips. As much as I believe

2:04.8

it's going to change the world I live in profoundly, I find it really hard to just

2:08.7

fit it into my own day-to-day work. I consistently you know sort of wander up to the AI, ask it a question,

...

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