A: Well, No. 1, let me say AI is not new. So we'll talk ChatGPT in a minute or in any version of that, but actually AI has been something we have put to work across the organization, and I've been working with for 10 years, 15 years. We use it in different places. We can use it in sentiment analysis, and we do, and we've used models and machine learning in model choices for execution styles, we use it within our quant spaces in modeling generally. Advancing technologies, we embrace them. We're not frightened by them at all. If it enables us to be smarter and better at what we do, then there's huge possibility and capability in it, and I think this is where ChatGPT or where any of these advances are happening, we are really interested in those.
We have a Chat Man version. You can't have a firm of quants and developers and techs and not have something for them to play with on this stuff, and they do. What's very interesting is being able to point it at the things that matter to you and understanding the information you're getting out of it. If you're not careful with tools, you'll find them producing results at the lowest common denominator. So if you ask — and actually a very good friend of mine used this just recently as an example — ChatGPT to tell you who the best French poet is, the thing about ChatGPT is it will try to tell you. Now, it's clearly a question that's almost impossible to answer, and I'm sure that your knowledge of French poets might not be very good, or mine isn't at least, but asking a question like that, which is the best whiskey, which is the best designer, which is the best poet, they're not questions that are able to be answered in the absolute. They're not binary questions.
And when you use tools like this, you've got to know what you're pointing at, you've got to know the question you are asking, and you've got to know what the content is that comes back, and you need to understand whether that's valuable to you.
So being able to use these tools to further what we do, we're really excited about. So if it gets us to research quicker, if it gets us to markets quicker, if it gets us to content and data sources better, if we can look for alpha more creatively, terrific. I have a firm full of people who can take that data, who understand the question they're asking, who can look at the results that they get back and where we can deploy and have value.There's a danger that people think that all active managers are created equal, that if markets work in a certain way, everybody returns money. That's not what happens. You still need skill, you still need capability, you still need the investment in tech, you still need the investment in the best people out there, and that's what we deploy in the organization, and we deploy that with technologies, too. So we're not fighting about them, we're excited about them, but we are also very, very thoughtful about how we use them, how we deploy them, how we check them, and how we integrate them into us being, I'm going to say it again, better at what we do every day. What we do every day is come in and return value to our clients.