The future of computational linguistics episode artwork

EPISODE · May 5, 2023 · 32 MIN

The future of computational linguistics

from The Future of Everything · host Stanford Engineering & Russ Altman

Our guest, Christopher Manning, is a computational linguist. He builds computer models that understand and generate language using math. Words are the key component of human intelligence, he says, and why generative AI, like ChatGPT, has caused such a stir. We used to hope a model might produce one coherent sentence and suddenly ChatGPT is composing five-paragraph stories and doing mathematical proofs in rhyming verse, Manning tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Episode metadata supplied by the publisher feed · Published May 5, 2023

Embed this episode

An expert in understanding language using machine learning explains why even he was surprised by the linguistic capabilities of ChatGPT.

Distinct summary based on available episode metadata or transcript content.

Ready to play

The future of computational linguistics

0:00 32:39

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Future of Everything?

This episode is 32 minutes long.

When was this The Future of Everything episode published?

This episode was published on May 5, 2023.

Can I download this The Future of Everything episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!