I think there's a lot of tricks that open AI does, including that Hrlf thing that they're doing, it's not just reading to thing is, there's a limit finite limit of abilities to read without going to breaking privacy laws, right? So I can't go and read your whatsapp and, you know, read your own tweets when private stuff, right? So there's a limit on how much could be. And is definitely once you have that limit, it doesn't matter how many more nodes they call it, how much bigger your model is, it doesn't help if it doesn't have things to read, now be able to look at videos and pictures that there's still videos and things and more things to look at. But I think it's kind of getting to that convergence is a deep gap. When I actually went into this space in 2017, vision was all the vision. So it was all very technical. We weren't thinking about how to do these layers, what do you do the learning rate, all these different things, but then it kind of hit the wall, and then it became domain applications. Since time you have all these different things that are actually looking at exact pictures and being able to put that into use commercial use. So I think LM is the theory is actually kind of or the mathematics, it's kind of hitting some sort of wall. And it will be hopefully people like me, people in law, medical, any of these spaces that are using this as a first frontline kind of thing, like a first line of kind of how to interface, the triage, the content creation, the first things. So I don't think you're talking about jobs and stuff, I don't think anywhere in the near term that it's going to be able to change all of these things, because this is very non scientific, just off the wall theory of this is that people don't make TV shows about things that are boring and repetitive. I mean, there's a few shows, but you don't have too many shows about people coding, right, or accountants, you have all these shows about medical, I mean, I think it's a very important job. But it's very repetitive, right? You have these TV shows about doctors, so er, doctors, lawyers, and sometimes some finance people. But the thing about