Alan Kohler

So to what extent is AI adoption and production being limited by the amount of compute that is available in data centers and the amount of power that's available to do it?

You did some work with Maxim Masenkov, and you introduced an idea you called observed exposure.

which is the gap between what AI can do in theory and what Claude is actually being used for.

So what surprised you about that?

And how long will it take for that gap to be closed?

Why is that?

But that 1.8% productivity growth over 10 years that you talked about before, to what extent is that to do with augmentation?

And to what extent is it displacement?

I mean, obviously, if there's fewer workers doing the same thing, then productivity, labor productivity of the workers increases, right?

So did you kind of distinguish between those two things in thinking about the productivity growth?

Just finally, I want to talk about Australia.

Late last month, Antropic held a briefing with 170 representatives from Australian finance, communications, transport, energy, data, and a whole lot of sectors.

Is the goal of the business to become as integrated with all elements of society as possible, do you think?

Is that how you're approaching it?

Yeah, fair enough.

Are you able to talk to us a bit about Mythos?

I mean, this is sort of an extra Claude project or part of an extension of Claude that was kind of released but not released or withdrawn because of its dangers in hacking.

What I'm interested in is whether

To what extent that kind of tells us where we're heading here.

I mean, it seems to have been such a dramatic improvement in Claude's capability that it's able to both do and withstand any amount of hacking.