Alex Atallah

And so we become the go-to-market strategy for the long tail of providers.

We've built an enormous number of tools to do quality checks and rigorously test these providers on the SKUs that they aim to support.

And then we send them back all this reporting so they can really easily optimize their inference and get better and better over time.

Hmm.

I think American open source will become a mixture of taking existing models, some of them might be foreign, might be Chinese, and improving them, and then creating new models from a new foundation.

And it's hard to make a prediction.

It remains to be seen because we're just seeing so much adoption right now from foreign open source models and domestic closed source models.

I think the best thing the American open source models have to leverage is

is some enterprise demand that really wants only American open source models.

They're American companies, and they're aiming at it directly.

So we provide easy ways of exploring the model providers on Open Router by their family type.

So you can easily look at which models follow a specific family and only filter down to those.

And we do want to help model labs that are trying to aim for some kind of niche use case in the market or some kind of niche demand in the market find that market.

It's really hard to discover otherwise.

Yeah, I think, I mean, this is not going to be that big of a surprise, but local context is the number one difference that we've seen over the last year.

If you build an agent that can really leverage the full computer, it works very well for personal AI use cases.

And that's because people have a personal computer.

What's interesting is that there isn't something that works on the phone very well, even though a lot of context is stuck on your phone.

So we may see a cool...

personal agent develop in that direction.