Yes. Look, I think it's not a linear approach we're taking. We're exploring all options, as it pertains to SSE. And I'm really encouraged with the opportunities that they've presented themselves. I mean, clearly we have the most advanced system in the marketplace. And as you can see - on earlier slides that, just what we've done to, or later slides, what we've done to drive down servicing costs is really remarkable. And that's a testament to the system that we have. We continue to identify efficiencies. And I look at, you know, the opportunities and they're plentiful. I think first and foremost, we need to focus on continuing to drive down the costs. And we need to continue to optimize our investment in servicing. Furthermore, I think Dan, with that, we have a competitive advantage and they'll allow us to, increase our production capabilities in the organization. And that will be vitally important. But I think as it pertains to SSE, the next logical step is subservicing. And we need to expand beyond PMT. And there's some real opportunities there in soliciting correspondent sellers who maintain smaller servicing portfolios. I think that there are banks and other large servicers, who perhaps want to get out of servicing, but clearly our success on SSE, compared to other offerings in the marketplace is being noticed. And I think that that's a very, I think that's a great selling point for us. We're also, having good conversations with technologists and other innovative parties in the industry, interesting in building on our technology, and working with us to get the technology out into the marketplace. And I think that's, the next final step, which is probably the option that's furthest away, just commercialization of the technology. And that would require some investment to allow for multi-tenancy on the platform. But I think that, as I said, we - there's a lot of talk about AI in the marketplace. And I look at what we've done on the system and I know many in the industry, I'm hearing want to get to 60%, 70% self-serve using AI. We're at 95% self-serve on our system. And I think a lot of the AI discussions that are taking place in the marketplace are really yesterday's automation discussions. And we built this system really to be robust and to really allow borrowers to - really be served. And I think that, we've had a lot of great AI development here in the organization. On the production side, we have, we've deployed AI to read documents from clients and brokers, which helps in the classification of documents and extraction of data. On the servicing side, we can route all documents to the area that is affected, or needs to address documents coming in. We have a lot of great voice AI tools that we're using. The most exciting one is the one that, we can record all customer conversations to drive better business outcomes, but also be able to see all customer complaints, which allows us to reduce the complaints, and continue to reduce costs. Â And so, I think that, this system is going to continue to outshine, and is one that is going to be really meaningful, first and foremost for us. We also think it's important for the industry, and I'm excited about seeing others, reap the benefits as well.