Azeem Azhar

And the time we would spend to go and make that change is better off spending on something nearer the frontier.

So I do expect there to be this kind of long, you know, lag of models, particularly in larger enterprises.

But I have also heard, and Matt, I shouldn't do this, but I'm going to put it back to you because you talk to the banks all the time.

I had heard that a lot of the banks now do use these model routers that sit

on top of the underlying provider and that some of the banks have said, we want to move to more open source models so that we can have better control, open source, open weight models than exclusively relying on closed weight models.

Now, of course, the reason we choose banks is because they're the most advanced incumbents, right, in using AI.

But, you know, I think there may be some of that pressure emerging.

Yeah, I think that that is one of the ways in which OpenClaw, Clawed, whatever we call it, Moldspot, has what it's opened up.

It has opened up that idea that you can flip back and forth between models.

And I personally found using that Mini Arnold has a decent enough memory, even though I am flipping the models through the different anthropic models.

The question is, how does that then make its way out into the industry at large?

And if that way of delivering a virtual worker is going to be what happens within the enterprise, enterprises make decisions that are not just about cost, right?

That's why, even though LibreOffice has been available for doing office jobs,

powerpoints and and excel spreadsheets you know the dominant player is is the microsoft office suite and that might be where you know the the anthropics and the open ais you know maintain that even if there might be tranches of consumers and it would feel to me like apple would be really well suited for a kind of open claw approach once they felt safe with it would go and that i think comes to hannah's point about these

consultancies for deployed engineers, which is getting the claws, as it were, into the enterprise, which I think does provide some defense against the model being completely abstracted away because someone has been in there.

They have done some tuning.

There is some know-how that is going to get lost when you swap out an anthropic model for a Kimi or a Quinn model.

Well, there may well be an IPO for OpenAI this year or early next year.

So there'll be something to mark our homework against.

Thanks for listening all the way to the end.