Azeem Azhar

And when we did the work on OpenAI, their models hadn't crossed that uncanny valley.

Right, GPT-5 was not the thing you could leave to run for hours at a time.

4.5 Opus from Claude from Anthropic was really the first.

And I'm just curious, my sense would be that all of this discussion starts to look very different

When OpenAI is shipping things that run five, six, nine hours at a time.

Because at that point, actually, you know, the inertia of being an OpenAI user through the enterprise or through the customer sticks with you.

And the only thing I would say is just think about dear old Mini Arnold, who costs me the same as, you know, four Starbucks flat whites a day to do whatever the hell he's doing in his Mac Mini.

I don't know what he's doing.

I don't ask.

It's his private space.

You know, get on with it, Mini Arnold.

So that is that for me is like is how we merge, you know, Hannah's observation, like kind of the user experience, user interactions patterns with Jaime's point, which is this is all about infrastructure, because ultimately all that processing has to happen somewhere.

And that becomes a choke point.

So I love what you've just said, Jaime, because of course, you know, the general note out there is it's all about the energy.

Like energy is the bottleneck.

And I think it's pretty...

clear that energy is constrained because of lead times and so on.

But if you listen to Elon Musk talk about why he wants to put data centers in space, every single thing, reason, comes down to things we've done to ourselves, grid permitting, backlogs.

I mean, these things are cues.

They're not walls.