You've entirely sold me on IRL. You sold me on getting together for community and SF. That said, I think a lot of listeners are going to be thinking, okay. All that, let's take that as a given. Why on deck specifically, obviously, you know, YC is running in person cohorts, you have South Park Commons, you have a variety of different programs that going through this. And maybe it's not helpful to frame this as a zero sum game because, you know, that's kind of what's so exciting about the space that we're in is that it isn't to a certain degree. But how do you place on deck within the ecosystem that talented, ambitious folks? For example, let's say that person who's just spent 10 to 15 years at a big tech company is thinking about their options. How would you place on deck within that ecosystem?

The jumping off point I'm going to take is, you know, zero sum games. We, nobody, you know, most people don't know this. The company that is behind on deck is called in zero labs for non zero sum. It's been the cutting principle of we believe that this is a very positive sum organization and to like to demonstrate that I have a huge amount of respect for YC, huge amount of respect for, you know, anybody that's like the amount of impact that they've created in the world is probably second to almost none. Almost none like that. But you don't know me because the companies that have come out of that have changed the world. Now, when I look at the landscape that they were established in 2005, the bottleneck to starting a company was capital from Sandhill Road and capital from Sandhill Road flowed to people with MBAs from great schools. And then the program identifies an opportunity to back software engineers, young, hungry people who knew how to use, you know, it was even pre AWS, but as AWS and a lot of the open source, you know, software became more really available and take a bed on people in a very structured way. Over time that sort of shifted, like that feels really obvious in hindsight, but that was very unobvious, very, you know, very controversial at the time. At that point, it's shifted the bottleneck for starting out to software engineering skills. Anybody can start a company so long as you can figure out how to use data, you know, how to actually create the product. And if you look at the sort of the VC narrative, the dominant VC narrative today, it'd be clear like there's a lot of merit to this still today is that you back engineers who can build the thing themselves. But there's a little bit of a sea change and the rise of no code tools, first was one of the big ones we spotted three or four years ago, meant that people who were non-technical could hack together different components of webflow and air table and bubble and everything else and they could build a workable product that could get out in the market and test a proposition and serve a customer. And if it works, you raise money and you could build an engineering team around that. And so, as a result of the initiative of generative AI, you can instruct CHAT GBD3 to write the code that you need to build the initial product. More people can take that initial step to validate an idea. Now, where does this lead us if like more people can get started a huge amount of noise that comes up and it reduces the barriers to if you have a good idea, then somebody else might catch up with you a lot quicker.