Jan Szilagyi
speaker
232 appearances
1 recordings
1 series
first heard Aug 2026
last heard 3 Aug
Jan Szilagyi’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Aug 2026 with 1.
Appearances
It's basically doing all of them at the same time.
So where you might, you and I might kind of go linearly from, oh, you know, if oil prices go higher, inflation is going to be higher, the interest rates are going to be higher.
A large language model is doing all of these different possibilities all at the same time, which is particularly helpful when you're evaluating risk through organizations.
kind of the lens of these different possible scenarios.
I mean, I think this has been a big obstacle to not only wider adoption of AI within investment management, because obviously these are high stakes decisions and you need to know that you can rely on the analysis that you're seeing.
But it's also made everybody...
ultimately use it for, I would say, kind of low stakes decisions.
It's almost like, okay, fine.
It's okay.
It's like maybe amplified Google search, but I'm not going to rely on it in order to actually determine the valuation of a company in which I might place 10% of my fund.
What we specifically...
have set out to do is provide an environment where not only do you prevent a large language model from making up a number, but also to give you the kind of visibility and transparency and ultimately auditability that you are always able to check all the steps.
Ideally, after some time, you're not doing that anymore because then the productivity gain is not quite as large if you're each time doing a complete audit.
But it gives you that, I would say, it gives you that confidence in the answer because you think, okay, well, if I wanted to and previously I have checked it, I could.
And I know that it will tell me I don't have the data if...
It doesn't as opposed to be saying, hey, here's some number.
Oh, yeah.
Yeah, that's right.
And I think you're also, and this is already happening, but I think within finance, just like we're doing with reflexivity and it's happening in other parts of finance as well, we are starting to use the power that LLMs bring, which is the ability to reason, the ability to run and procure data, run analysis and so on, but then create constraints around it and say, okay, you're going to operate in a way
That is much more akin to how we're used to working in investment analysis, which means you're going to check your results.
Showing 121–140 of 232 · page 7 of 12
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