Chris Lattner

Mojo is a programming language, and so it can help solve the C++ Python feud that's happening.

The fire emoji got me.

I'm sorry.

We should be talking modular.

Yes, yes.

Yes, okay.

So the fire emoji is amazing.

I love it.

It's a big deal.

The other side of this is the fire emoji is in service of solving some big AI problems, right?

And so the big AI problems are again, this fragmentation, this hardware nightmare, this explosion of new potential, but that's not getting felt by the industry, right?

And so when you look at how does the modular engine help TensorFlow and PyTorch, right?

It's not replacing them, right?

In fact, when I talk to people, again, they don't like to rewrite all their code,

You have people that are using a bunch of PyTorch, a bunch of TensorFlow.

They have models that they've been building over the course of many years, right?

And when I talk to them, there's a few exceptions, but generally they don't want to rewrite all their code, right?

And so what we're doing is we're saying, okay, well, you don't have to rewrite all your code.

What happens is the modular engine goes in there and goes underneath TensorFlow and PyTorch.

It's fully compatible and just provides better performance, better predictability, better tooling,