Azeem Azhar

I'm also cognizant of using the right model for the right task.

I mean, we never thought that a single monolithic model would win the AI race.

My core agent, Armini Arnold, uses the anthropic models of Sonnet and Opus and for some really lightweight things it uses Haiku.

But it also has access to other systems.

So it can pull on Manus.

So Manus was that Chinese Singaporean company that Meta acquired.

It was pretty good at certain types of research.

It could do quite long workflows.

Actually, it's also quite good at making PowerPoint presentations.

I thought part of the point of AI was we wouldn't have to deal with PowerPoints.

But what have I done?

And of course, Armini Arnold also uses OpenAI models through Codex, which is its code development product.

But I found that Huen 3.5 as a model or the new Huawei model, which I forget its name, it was called Hunter Alpha,

are really efficient and cost effective when I'm doing really large scale simulations.

So I tend to prefer them for that work.

And so one of the things I've learned is that as you start to use more AI, you start to use more of a portfolio of models that you want to access.

And our mini Arnold really helps there.

It maintains a model registry.

So every couple of hours, it goes off and checks that there aren't new models that we need to update and upgrade to.

And it automatically upgrades our model registry.