 We're here at ENERGY at Stanford and SLAC, where teams of five students are envisioning a climate and equity future. Soil loss, plastic pollution. Then we can try and take a look at the results. Ah, how to mitigate. Well, sorry, I have a couple things turned on here that could be completing the LSE. Zero? Yeah, yeah. That's my vision. We will be against. What's really unique about it is they're using the simulator N-roads, which we at Climate Interactive are not-for-profit think tank built with our partners at MIT Sloan to envision and test mathematically the different policies that interest them. This increase in energy efficiency, that is for the new buildings. They're putting in policies like carbon pricing and electrification and preserving forests of carbon capture and storage and seeing what it does to climate results, air quality, financial results, and others. How are we going to decrease in population? Yeah, and in transportation. That will be interesting. I can relate it. Also, be realistic. Be realistic. I don't think there are no births. Well, I mean lower birth rate is going to be real. Zero births. Maybe it's going to be real. There's a lot of new companies coming out in the field, so maybe we can up that as well. We talk so much about this global problem of climate change. And what's going to happen and how it's going to happen. And to put numbers and visuals and understand the interactions within the model and see how different inputs encourage different outcomes is just, it's so amazing. People want to produce energy anyway. One model that I thought was really cool was seeing the effect of, like, food. So I think it's going to be great. I think it's going to be great. I think it's going to be great. What I thought was really cool was seeing the effect of, like, food. We played around with the slide out of, like, food waste and food consumption from animal sources and all. And it was interesting to see how the temperature change actually responded to this. It's not a parameter like you would think of intuitively, so it's interesting. It really helps people who might be not so technical or a little bit scared of getting their hands dirty in a model. Or someone with a lot of knowledge can also come to this model with all of that specific information. It was kind of a nice stepping stone to opening up that opportunity for them. What you're going to be doing is creating the future that you actually want to see other than this.