Can AI Make You Laugh?
05/16/23 • 27 min
1 Listener
New large language models are capable of writing essays, drafting marketing pitches and having human-like exchanges on chat apps. But can they make us laugh the way a human can? To explore this, host Gary Marcus is joined by Dr. Naomi Saphra, an AI researcher and comedian, Bob Mankoff, former Cartoon Editor of The New Yorker magazine and Yejin Choi, a computer science professor at the University of Washington and 2022 MacArthur Fellow. While artificial intelligence systems can generate far more jokes than humans can, knowing what’s funny remains — at least for now — a uniquely human ability.
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New large language models are capable of writing essays, drafting marketing pitches and having human-like exchanges on chat apps. But can they make us laugh the way a human can? To explore this, host Gary Marcus is joined by Dr. Naomi Saphra, an AI researcher and comedian, Bob Mankoff, former Cartoon Editor of The New Yorker magazine and Yejin Choi, a computer science professor at the University of Washington and 2022 MacArthur Fellow. While artificial intelligence systems can generate far more jokes than humans can, knowing what’s funny remains — at least for now — a uniquely human ability.
To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy
Learn more about your ad choices. Visit https://podcastchoices.com/adchoices
Previous Episode
What Happens When AI Takes The Wheel?
We've been promised wide-scale driverless cars for more than a decade, but a true driverless experience still remains out of reach. It turns out that taking humans out of the loop is putting everyone on the road at risk. Host Gary Marcus talks to Cade Metz, a tech reporter for The New York Times and Dr. Missy Cummings, former senior safety advisor to the National Highway Traffic Safety Administration, to explore requirements that would make self-driving cars reliable and secure for everyone.
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Next Episode
How AI Will Turbocharge Misinformation
Misinformation has already influenced our elections, ruined reputations and fundamentally changed society’s relationship with the truth. Now, large language models like GPT have the potential to create and spread misinformation at a speed and scale we’ve never seen before. As new technologies allow bad actors to imitate the way we write, the way we speak and the way we appear in photos and videos, the question won’t be, ‘What we can believe in?’ but whether we’ll be able to believe in anything at all. To discuss how we got here and what we must do to fix it, host Gary Marcus talks to Pranshu Verma and Will Oremus, two technology writers from the Washington Post, and Dr. Rumman Chowdhury, a leading expert in Ethical AI and former Director of the Ethics and Transparency team at Twitter.
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