Keri Briske

And some research paper actually was picked up by the Quen model.

And so the latest Quen model actually released a hybrid Mamba transformer architecture.

So these are the types of things that we put out into the open for kind of anyone to pick up.

And by the way, we're not just the only one putting out into the open.

We love

picking up and reading papers and taking the best of the open source too and putting it back into Nematron as well.

That's the virtual cycle of the open source.

Yeah, I kind of alluded to it a little bit earlier when I said that you don't want to give away your intelligence.

So you have your own domain expertise and you have your own private IP.

You have your own specialty.

I think current AI is really great.

I'm not saying it should go away because there's room for everybody.

Because when you are doing an AI application,

It's systems of models.

I actually kind of joked about it with a couple of our team.

We were joking the other day because it's like a new object-oriented programming.

You're sending agents out to do stuff and come back and return an answer.

It's just like these objects to kind of do something.

So there's room for all types of size and models, but really enterprises want to specialize.

And I think when people are talking about how enterprises really haven't adopted AI fully yet, it's because AI has been very general.