Sure. Thanks, Randy. Yeah, let us take the example of ARV-102 for starters. So in that case, we have signaled pretty significant conviction. We have said we are starting a trial in PSP this year and, regulatory permitting, we may even be able to move towards a registration-quality trial, you know, before the end of the year. We recognize that there are properties of a LRRK2 inhibitor that can be exceeded with LRRK2 degraders. We have shown already in healthy volunteers that we have more than 50—we can achieve more than 50% LRRK2 degradation in the brain. That has been our target. We have been communicating that clearly. Because we know in general, if you want to just simplify in broader strokes, that patients with Parkinson's disease have twice to three times the level of LRRK2 protein expression in the brain compared to their age-matched controls. So our goal was to achieve that, something that cannot be touched by inhibitors. So that is why we have lots of conviction there, plus pathway data, more to come at AD/PD in April. Now if I shift for a moment to 806, it is a very competitive space. We know that there are many other G12D-targeting drugs ahead of us, mostly inhibitors and, let us say, one degrader. But fundamentally that really makes it easier for us because we know where the bar is. We know that—I am going to speak in broad terms. I am not setting the bogey here because this is an imprecise science. But we know that we have to be better than, let us say, 35% response rates in this space to be differentiated. So we are going to have to generate data that gives us confidence that we are better. We will signal as the year moves on about exactly what level of confidence we have, and as we can share data with folks. But that is clear from the numerous drugs that are in the clinic today, that we have to be better than the large majority of them, which, you know, would put us in that range. And then when it comes to 393, we are kind of at the front right now. There is a competitor that has shared data, and we do see that there is activity with their drug. But this is really early days. Like, we are months or maybe—you know, I do not want to give a specific time frame that we are behind. It is hard to know. But we are basically at the leading edge of this right now. So we are going to look at the data that is shared by our competitor, we will look at the data that we generate, we will share that, and we believe that for all three of these drugs, there will be data this year to demonstrate their differentiation that we should, you know, over the course of the year, be able to share with our investors.