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.

Podden och tillhörande omslagsbild på den här sidan tillhör UC Berkeley. Innehållet i podden är skapat av UC Berkeley och inte av, eller tillsammans med, Poddtoppen.

Senast besökta

Berkeley Talks

ChatGPT developer John Schulman on making AI more truthful

00:00