Logan Kilpatrick

So I think there's something interesting there.

There's two other angles.

One of them is I think people also just

want to have this like customization story.

And there's like a few a few good examples of this, like we did dolphin Gemma.

And dolphin Gemma is like, train down a bunch of dolphin data and sort of helps helps understand some of the stuff that's happening, that the like, actions that dolphins are taking, which is like kind of a funny example, but also like interesting of the level of customization that you can do.

Med Gemma is another one where there's like a huge amount of interest in the medical space.

And obviously, open AI is making a bunch of

bunch of noise about that with GPT-5 and the stuff that they're doing.

So it's clearly an example that I think they said it was one of the highest traction query use cases in ChatGPT was this medical use case.

And I think I talk to customers all the time who are blown away with MedGemma and MedGemini, actually the sort of Gemini variant of it.

So it's been super cool to see

those use cases also get love by being able to like build these custom open source models.

Um, and it usually ends up being that the models, the open source models are like six months behind, um, the proprietary models for, for Google at least.

Um, yeah, but it's all the same innovation that ends up being in there.

It's like we, you know, make hill climb on multimodal or long context or reasoning or something like that.

And then it all feeds back into the open model ecosystem.

Yeah, it's a good question.

I think probably vibe coding.

And the reason I say that is I think as someone who's like gone through the pain of learning how to build software, the reality is it's like the...