Chris Lattner

You could say Swift for TensorFlow is a good idea, except for the Swift and except for the TensorFlow part.

Swift because it's not Python and TensorFlow because it's not- It wasn't set up for eager mode at the time.

Exactly.

And so one of the things about that is in the context of it being a research project, I'm very happy with the fact that we built a lot of really cool technology.

We learned a lot of things.

I think the ideas went on to have influence in other systems like PyTorch.

A few people use that, I hear, right?

And so I think that's super cool.

And for me personally, I learned so much from it, right?

And I think a lot of the engineers that worked on it also learned a tremendous amount.

And so, you know, I think that that's just really exciting to see.

And, you know, I'm sorry that the project didn't work out.

I wish it did, of course, right?

But, you know, it's a research project, and so you're there to learn from it.

So I will have to say that when we launched Mojo,

One of the biggest things I didn't predict was the response from the Julia community.

And so I was not, I mean, okay, let me take a step back.

I've known the Julia folks for a really long time.

They're an adopter of LLVM a long time ago.

They've been pushing state-of-the-art in a bunch of different ways.