Anthony Pompliano: So let's say it's a tax question. If you ask a regular question to Google and you say, you know, how do I get my tax rate down? Google just looks for links, has no context. So zero context, lots of indexed on the Internet, no AI model. Just send you the links back. The innovation that the models came up with was you asked, how do I get my tax rate down? The model says, well, what if I don't have context, but now I have this AI model? What if I can go and use the model training plus web search and I can come back with an answer and I don't provide links, I instead provide a summary? Pretty valuable. I use them every day, right? But actually what you're asking in that question of how do I mitigate my taxes? My. Taxes is the most important part. And so having the context of your personal financial position ends up being the single most important aspect of that. Now, we've come out, we've publicly showed that Sylvia is more accurate in answering questions to tax, mortgage, credit cards, et cetera, than the frontier models. How do we do that? One, we have trained our own model internally to be able to be focused on personal finance.
The model says, well, what if I don't have context, but now I have this AI model?