ChatGPT developer John Schulman on making AI more truthfu...

What this episode covers

UC Berkeley alumnus John Schulman, the lead developer of ChatGPT, talks about how AI language models sometimes make things up — often convincingly — and offers solutions on how to fix this problem. Schulman's talk, which took place on April 19, was part of a series of public lectures at Berkeley this spring by the world’s leading experts on artificial intelligence.Listen to the episode and read the transcript on Berkeley News.Read a Berkeley News Q&A with Schulman in which he discusses why he chose Berkeley for graduate school, the allure of towel-folding robots and what he sees for the future of artificial general intelligence.UC Berkeley photo by Jim Block.Music by Blue Dot Sessions. Hosted on Acast. See acast.com/privacy for more information.

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Frequently Asked Questions

How long is this episode of Berkeley Talks?

This episode is 1 hour and 4 minutes long.

When was this Berkeley Talks episode published?

This episode was published on April 24, 2023.

What is this episode about?

UC Berkeley alumnus John Schulman, the lead developer of ChatGPT, talks about how AI language models sometimes make things up — often convincingly — and offers solutions on how to fix this problem. Schulman's talk, which took place on April 19, was...

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