So, like in the first panel, one of the panelists consulted some of the models. I had a quick chat with GPT-4 and with Lama too, asked for a question for this panel. So one that came in and maybe Garrett still staying with you for your live deployment, quoting, markets are dynamic ever-changing beasts. How do LLMs adapt to rapid market changes? That was the machine that asked that? Yes, that's what I'm sorry Lama to talk to you about. I'd like the machine's going to win at that point, honestly. No, I'm not sure. I did prompt for the toughest ones. Yes, I'm not sure right now if LLMs are the technology that will solve that particular problem. Chris, you were. Oh, I was I was I think that LLMs right now are a singular tool. It's when you know some of the stuff that you noted around this. This is not a quantitative thing. Being able to take in what we term multi-modal inputs and outputs into models where we expand beyond just LLMs and look at things like computer vision and and you know, recommend our systems and all of that like building that in an overall package. I think it's going to be the point where LLMs as we think about them become effective enough and can source unique enough data that this is able to be something that's relevant. I mean, I was think about the when I first heard about what Bloomberg did, you know, years ago, specifically looking at they were looking at satellite data around the shadows on oil tanks, like an oil storage units and or in the gas storage unit, something like that. Essentially like the shadows changing like change sort of the was because was reflection like the fiscal change of of you know the storage facility. And it's that type of like bananas unique data that I think can come from multi-modal models as opposed to just purely LLMs. One thing I would also add from my site on the challenge so there may be challenges to the predictive powers and so on, but that in no way stops you from, you know, we call it building your army of Robo analyst, your digital labor force. Labor force that you can deploy right I know you guys also talk about virtual virtual analysts that does not require that predictive power solve that that problem.