Ian Dunning

I've been doing AI stuff since around 2016, and that started at DeepMind.

And it was a bit of a culture shock for me because there are true believers then, and I was most certainly not a true believer.

And I resisted it, and I was kind of a natural skeptic for a long time.

But certain empirical measures of the pace of progress in the outside world, and I also look at our own business, which looks...

Somewhat exponentially, the amount of compute I'll have next year versus this year, and the amount of compute I'll have this year versus last year looks kind of exponentially.

And we're doing things today that I didn't really, I should have dreamt of.

I wish I had that kind of visionary, say I'm a visionary and I can see the future and I'm building towards it.

But no, I think I'm a pragmatic engineer archetype, and so it's been very incremental.

And I'm like, wow, that happened in a year?

So what does this mean?

It's some sort of technological convergence, everything going faster all the time?

Well, give us an example.

Delirium probably, but you know.

Oh, I think it's one way to think of just the amount of compute going into both training a model and running a model, and that it's the same technology working across every equity, every future, every crypto market, every option market across the world with a kind of unified approach.

And this is something that we're doing.

But even more interestingly, I would not claim that we are some unique people who are only the ones who have really made progress in AI and trading.

I think many of our peers are also investing massively.

And we're all doing it all at the same time.

And what does that mean?

Surely you can't just keep getting better at predicting markets forever.