Grant Harvey

That's awesome.

That's a totally fair answer.

That was a good answer.

And kind of figured that would be the case, but it's really interesting the way you've explained it.

When should teams recognize that it's time to lean in to one of the bigger models versus nano?

Like, you know, what kind of signs are they looking for when that happens?

That's right.

We did a call with someone talking about parakeet just a couple of days ago and how they use it for podcast transcripting and things like that and how great it is.

So Carrie, tell me, if you don't mind, what has it been like working for NVIDIA through this wild transition over the last few years of growing to essentially the biggest company in the world?

We have a, we both regularly talk about, we have a lot of respect for Jensen as well.

And just kind of the, the foresight it took to sort of understand what was coming and be so beautifully positioned just, you know, right in time to become the cornerstone of modern AI, essentially.

I love that.

I love that.

That's really awesome.

So what's your vision?

Where do you want Nematron, especially Nano, even to be in, let's say, two years, like in everyday apps people are using?

And for it to smartly just lower my electric bill while we're at it.

That's right.

Hey, while you're at it.

I always joke that my test is I want to be able to, when I'm driving the car, holler at my phone to order me a pizza and have it at the door by the time I get home, you know, in 45 minutes or something.