more on what we're doing on the agent side of the house. But there we go. Okay. So most of the world is subjective as I was mentioning. Uh a lot of the world is subjective right? If we talk about these domains of writing even workflows within companies right of sales marketing uh a lot of the times there's this multitude of answers there's not one clear right answer and it's very hard to define what great even means I think at the end of the day like those are why these domains are so difficult um and we oftentimes I would say forget to mention like why uh we treat for example the fact that code is verifiable and measurable as something that is a property about models and models are great at at coding um because we've made them great at coding but realistically it's actually a fact about code. Code is something that decomposes, it verifies, it executes and so it makes it a lot easier for us to be able to train on these domains for something like design or writing like how do you decompose it? How do you verify it? How do you judge if it's actually good? So that's why they become so difficult. Um, so there's two characteristics that I want to touch on today on why fundamentally subjective domains are harder. One is that capability follows measurability. So if we can solve the measurability problem or at least part of it, then we can solve a big portion of these domains. Uh the second which I'll touch on later is basically this like collapse to the mean and why the mean is not necessarily optimal in subjective domains. Okay.