Let me add two things, if I may. One is that, you know, finance-related like, exchanges, yeah, interactions, yeah, need to be, in many cases, very precise. So, we are prudent, yeah, in developing and utilizing AI models. Knowing that, yeah, generative AI has certain shortcomings, yeah. So we use, like, REG, so on, yeah, to mitigate that. But still, certain models are still in, yeah, the lab phase, and they haven't been fully used. But many others are in greater, yeah, deployment stage and ready for external commercialization. Secondly, I'd like to add that, yeah, the overseas markets can be quite, yeah, good places for AI, yeah, because there is like China, five, ten, even 15 years ago, yeah. So using AI, we can just leapfrog, right? Like, in China, we've experienced, like, you know, Internet, mobile Internet, big data, knowledge graph, so on to, yeah, AI, different phases of AI, until today, generative AI. But in, yeah, some overseas markets, like in the Southeast Asia, in South America, so on, yeah. So, these markets are really, yeah, ideal for AI deployment. Of course, we will be careful also in terms of risk management compliance, so on, yeah. I'd like to just add these two points.