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Tech Brew Ride Home

(BNS) Hugging Face Founder Clément Delangue

Tech Brew Ride Home

Amalgamated Internets, LLC

News, Tech News, Technology

4.71K Ratings

🗓️ 23 October 2025

⏱️ 58 minutes

🧾️ Download transcript

Summary

Clem discusses his journey from early computing experiences to founding Hugging Face, emphasizing the importance of community, collaboration, and open-source technology in the AI landscape. He reflects on the evolution of technology, the significance of user feedback, and the need for a diverse range of AI models. Clem also shares insights on the startup ecosystem in Europe and the unique advantages of New York City for AI entrepreneurs. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

300 sensors.

0:03.0

Over a million data points per second.

0:06.0

How does F1 update their fans with every stat in real time?

0:10.0

AWS is how.

0:13.0

From fastest laps to strategy calls,

0:15.0

AWS puts fans in the pit.

0:19.0

It's not just racing, it's data-driven innovation at 200 miles per hour.

0:24.6

AWS is how leading businesses power next-level innovation.

0:29.6

Basically, how alive are U.S. open models so far that you're seeing?

0:35.6

And do we actually care since the Chinese

0:39.7

models seem kind of benign so far?

0:42.2

I think I want to, I don't want to be too, too extreme.

0:48.0

But it looks like, yeah, this way not enough open source American models right now.

1:01.0

At least not to the level of what's released from China.

1:08.4

And I think we do care for reasons of concentration of power.

1:16.7

I think ultimately we want actually not just China and the US,

1:21.2

but any country to be able to produce their own AI models.

1:27.0

Just the same way we want any country to be able to produce their own AI models, just the same way we want any country to be able to

1:30.6

write its own code, you know, and write its own software, to provide choice to people, to make

1:40.0

sure that power isn't concentrated, to avoid some of the biases contained in different

1:50.8

models from different countries.

1:56.7

Clam, thanks for coming on here to talk to us today.

...

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