Clem Delangue

Yeah, I mean, I don't blame them.

They have a lot on their plates.

I think with the coding assistant, they've kind of been dealing with their own set of issues.

The reality is that hosting and sharing AI artifacts is quite different than hosting code.

So even if people have been calling us the GitHub of AI, I think it's two very different things.

For example, for us, the volume of files, of data that we're dealing with is much, much larger than what the GitHub is doing.

For example, just last week, we...

we added two petabytes of data to the platform just last week.

It's kind of like a matter of comparison.

It's the equivalent of 500,000 two-hour movies that have been uploaded to Hugging Face just last week.

So you have a lot of structural differences, and we managed to build our infrastructure

capabilities in a way that makes it just better for people that are building in AI to use Hugging Face to host their models, their data sets, both publicly but also privately.

We have a lot of private usage now.

So that's kind of like some of the reasons why we managed to do it, whereas GitHub focused on other things.