David Solomon

And I start with the fact that one of the things I'm really proud of about Goldman Sachs is Goldman Sachs is less what you described, I believe, than any other firm.

I think that we really have, for a long time, it's been part of the culture, but we really have a culture of sharing and collaboration.

It is not a star system.

People share, share, share.

It's just such an ethos at Goldman Sachs that I think we have less of this problem than other organizations have.

But what's interesting to me about your question

and it makes me really think about it, is it's something that I deeply believe that you started with, and I'd frame it in three buckets.

This technology is incredibly powerful when you have a clean data set.

Put these models against a clean data set.

It is extraordinary.

Like it is mind blowing to me.

What you can do, the speed with which you can do it, the information that you can accumulate and how powerful that is when you have a clean data set.

It wouldn't surprise you.

Goldman Sachs has an extraordinarily amazing data set that we're working very hard on to make as clean and possible on everything we've ever done from a trading and investment banking perspective.

over the last 40 plus years.

We happened to build a system 40 years ago called SecDB that was a trading system.

So we have data from all our trading that goes back long before most other firms kept data on this stuff.

And so we're working very hard on that.

But these tools, extraordinary when you have a clean data set.

When you don't have a clean data set and you send them out into the world, you get really, really cockamamie answers.