Peter McCrory

That said, this represented a substantial step up in the model cybersecurity and particularly its sort of attack capabilities, which is why we took the approach that we took, which is not to release it more broadly, to try to partner with important organizations to figure out how do we harden the critical infrastructure that might otherwise be affected by

our model.

Now the reality is that

this might be clawed, other models are catching up very quickly.

So while Mithos' anthropics model, there are other models that in some time could also catch up.

And so we need to be judicious with how we approach things.

So I don't know much about what those conversations were, so I can't really comment there.

Well, thanks for being part of That's Business, Peter.

It's a privilege to be here and so glad to be able to share this work with the world and all the underlying data, which I mean, I'll talk about, but everything that we do is based on open source data.

So we hope that others will join us in making sense of what's on the horizon.

That's a really great question.

And I think of this in one of two ways.

One, broadly speaking, the usage patterns on cloud.ai, which is this chatbot interaction, do

at a high level look very similar to the API deployment.

So dominant usage for coding related tasks, as well as sort of the other overrepresented categories.

with a little bit more tilt toward programmatic deployment when businesses choose to embed Cloud's capabilities.

So high level, I tend to see these as both capturing where are capabilities strongest and where are they providing economic value, whether that's through sort of iterative back and forth with a user through the chat window or through

the API deployment.

But to your point, so much of the, and this is a point that we made in our last report, is so much of the labor market and productivity implications of this technology, much like past technologies, will hinge on how businesses choose to embed and deploy the tool.

And so the sharp increase, relative increase in automated use, where