Grant Harvey

Yes.

Yes.

Um, you mentioned earlier, so like one of the, the, um, unique things and benefits of being the person who basically made this, um, uh, is that, you know, all of the tricks of how to, you know, run it and deploy it.

Um, and you know, there's a lot of frameworks that support regular LLMs, but maybe not as many frameworks or, you know, you have an in-house framework for dealing with diffusion.

Would you ever make like an open version of that?

Like, do you want everyone to go through you?

Like what, what's your, what's your business plan there?

I guess.

Yeah, that's fair.

No, that's totally fair.

I was just thinking like, you know, like in one of NVIDIA's strengths, right, is CUDA, which kind of keeps everyone locked in.

So I was wondering if there was a similar kind of play there eventually where, you know, you make it easy for everyone to do this, but then you're still the gatekeeper in some way.

No, I was thinking, so the immediate place that I went to was voice agents, and I was wondering, could you make a diffusion speech model?

And then I was thinking, that would sound kind of wild if, like, all of a sudden it comes out and it's like, and then you have the, like, you hear the sound wave generate.

But then also I was thinking, I'd love your take on that, if it's even possible.

But then also I was thinking, well, it makes sense to try and, you know, perhaps match it with a...

speech to text model, because it makes sense to that's where you need the most real time interactions, right?

As if you're having a voice to voice conversation.

So that makes obvious sense to me.

I'm curious how that's going.