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The Ezra Klein Show

‘Artificial Intelligence?’ No, Collective Intelligence.

The Ezra Klein Show

New York Times Opinion

Society & Culture, Government, News

4.611K Ratings

🗓️ 24 May 2024

⏱️ 52 minutes

🧾️ Download transcript

Summary

A.I.-generated art has flooded the internet, and a lot of it is derivative, even boring or offensive. But what could it look like for artists to collaborate with A.I. systems in making art that is actually generative, challenging, transcendent? Holly Herndon offered one answer with her 2019 album “PROTO.” Along with Mathew Dryhurst and the programmer Jules LaPlace, she built an A.I. called “Spawn” trained on human voices that adds an uncanny yet oddly personal layer to the music. Beyond her music and visual art, Herndon is trying to solve a problem that many creative people are encountering as A.I. becomes more prominent: How do you encourage experimentation without stealing others’ work to train A.I. models? Along with Dryhurst, Jordan Meyer and Patrick Hoepner, she co-founded Spawning, a company figuring out how to allow artists — and all of us creating content on the internet — to “consent” to our work being used as training data. In this conversation, we discuss how Herndon collaborated with a human chorus and her “A.I. baby,” Spawn, on “PROTO”; how A.I. voice imitators grew out of electronic music and other musical genres; why Herndon prefers the term “collective intelligence” to “artificial intelligence”; why an “opt-in” model could help us retain more control of our work as A.I. trawls the internet for data; and much more. Mentioned: “Fear, Uncertainty, Doubt” by Holly Herndon “xhairymutantx” by Holly Herndon and Mat Dryhurst, for the Whitney Museum of Art “Fade” by Holly Herndon “Swim” by Holly Herndon “Jolene” by Holly Herndon and Holly+ “Movement” by Holly Herndon “Chorus” by Holly Herndon “Godmother” by Holly Herndon “The Precision of Infinity” by Jlin and Philip Glass Holly+ Book Recommendations: Intelligence and Spirit by Reza Negarestani Children of Time by Adrian Tchaikovsky Plurality by E. Glen Weyl, Audrey Tang and ⿻ Community 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 Annie Galvin. Fact-checking by Michelle Harris. Our senior engineer is Jeff Geld, with additional mixing by Aman Sahota. Our senior editor is Claire Gordon. The show’s production team also includes Rollin Hu, Elias Isquith and Kristin Lin. 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. And special thanks to Sonia Herrero and Jack Hamilton.

Transcript

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0:00.0

From New York Times opinion, this is the Ezra Klein Show. Oh, We are already a wash in crappy AI content.

0:39.4

Some of it is crappy commercial AI content and wants to sell you things. Some of it is

0:43.8

crappy AI art and it got me interested amidst all this complaining what does it mean

0:49.2

right now to be making good AI art and so I read this profile the AI artist and musician Holly Herndon and the New Yorker, and then separately this

0:56.4

DJ I met mentioned her work to me. She like I should check this out. And so I went and listened to her 2019 album Proto, which was done alongside an AI voice trained on her voice and others.

1:07.0

And I was walking to work when the song Fear, Uncertainty, doubt came on. and I just stopped walking.

1:15.0

I just stopped walking.

1:17.0

Now, where we stand. What makes so much AI art so bad in my opinion is that it's so generic.

1:29.0

These are generative systems. We keep calling them generative, but generative is so, when we use that term, it usually means it helped you get

1:35.8

somewhere new. But these systems are mimics, they help you go somewhere old. They can help

1:40.0

us write or draw or compose like anyone else. But I find it much harder when using them

1:44.7

to become more like yourself, and most of what I see coming out of people using them,

1:49.3

it's all riffing on others in this very obvious way. What I like about Herndon's art is she uses AI to become

1:57.1

weirder, stranger, more uncanny, more personal. It's going in the exact opposite direction.

2:03.0

And some of her art questions the entire way these systems work.

2:07.0

She and her partner, Matt Dryhurst, did this project at the Winnie Biennial this year,

2:10.0

where they created an image generator based on images of Herndon,

2:13.4

or at least what the AI system seemed to think she looked like,

2:17.0

which is she's got this very striking copper hair,

2:19.6

and so the way it understood her was really around this striking copper hair.

2:23.6

She is as she put it a haircut.

2:25.8

And so they manipulated these images and they made this AI system where anybody can generate any

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