00:30:30 · Khe Hy
[00:30:30] S1: Yeah, it's funny because we were texting yesterday. I have anxiety that I'm behind. I have, like, two anxieties. I have anxiety that I'm behind, and I have anxiety that I'm not using enough tokens. And so I would say I probably, you know, I'm probably working eight to ten hours a day if you count kind of consumption of YouTube videos and podcasts, like, in that number. And it's a mix of, you know, lot of my learning is with my clients, right? And so that's part of it. I write a newsletter twice a week. And one of them, I basically try to provide a use case or evaluate a feature, some kind of dogfooding stuff as it comes out. And then, like, part of the excitement of starting this podcast is like, you know, oftentimes I'm paid to be the smartest AI person in the room. And I I don't want I don't want to be like, I want to be the dumbest so that I'm, you know, my baseline gets elevated. So, you know, again, a lot of conversations. You and I are similar where you will see someone interesting on Twitter with a unique perspective and just DM them and be like, Hey, do want to chat? Like, no agenda. Just want to learn from you. Hear what you're doing. I do a lot of that, as I know you do as well. Shout out to our mutuals who have been on the receiving end of that. And yeah, I would say, you know, there's a stable newsletter. Mean, Twitter is a phenomenal source of information. I don't love Twitter. It's kind of like the whole apparatus of it, but I think it's phenomenal for AI and getting me angry at, you know, clavicular or something. And then a few newsletters that I read, and I listen to a lot of podcasts, like Lenny's List, you know, Gan Shipper, Dwarkash, Clairvaux, a lot of practitioners. There's also people that I'm on the lookout. Whenever they do a podcast, I just go listen to them. Like, Brett Taylor, the chairman of OpenAI would be probably the most common one. Andre Karpathy would be another one.
00:32:38 · Brett Caughran, Khe Hy
[00:32:38] S0: Yeah. Yeah. [00:32:38] S1: How about you? You feel You feel behind? Yeah, same.
00:32:43 · Brett Caughran
[00:32:43] S0: I mean, part of the reason I've sort of going down the AI rabbit hole is just to manage my own existential angst around the future of the industry. And I have three sons, 12, 10 and eight, and my 12 year old son in particular, he's got the stock bug and he talks about working on Wall Street. I'm like, man, I better learn this stuff so I can shepherd him through this process. And I teach at Arizona State University to finance undergrads. I start class again in August and I just want to be able to give them a framework for navigating through. So step one is I have to figure that out on my own because I don't think anyone knows what's the right career advice other than to go be a plumber or electrician. We'll certainly need more of those. So I think we're trying to just figure this out together. And I think that's exactly right. Part of our objective here is to find the 36 sort of most interesting people at the intersection of investing in AI and have conversations with them in a casual way that Kay and I are individually having on a one off basis and just share that. And I think the mental model for me is anytime Andre Karpathy tweets something, I also really like Aaron Levy's content from Box. He's really thinking about enablement of AI at the organizational level. Anytime either of those individuals tweet something, my mind starts racing. It's like, all right, here's the raw, great insight. Let me think how to translate that to the investment process. And so our ultimate objective is to be a venue for people to come and learn together with us about how to take these cutting edge concepts that I think hopefully we're humble enough to not think that we know everything, but to sort of translate that in and play with those, experiment with those concepts to then translate that back to the investment process and hopefully give our investor audience time leverage on that because scaling Kay's forty hours a week learning AI. I've been a PM. It's earning season now. Like it's trying to learn AI while dealing with earning season and incredibly volatile macro geopolitical markets. It's just a very hard thing to do. So that's really the objective. And we're trying to have people from AI people from firms and from vendors and consultants and academics and push them on, push them to sort of bring helpful things to the audience.
00:35:34 · Khe Hy
[00:35:34] S1: And one of the on that point, you know, one of the things I push back with a lot of potential clients conversations I have is this idea that there's going be like a final state, you know, like there'll be a button that's pushed and like AI is ready. And this podcast is kind of the admission that that moment's never going to happen. No one's going to ring a bell and say, like, alright. Time. You know, wave in the AI. Right? It's gonna be incremental. It's gonna be jagged. It's gonna be five steps forward, two steps back. Sometimes, Scott, there... There's probably gonna be a five steps forward, 10 steps back during this run of the podcast. Right? Maybe it's like cybersecurity. Right? We have no idea and we won't pretend to know that we do. But what we kind of do promise you is that, you know, we've got our ears to the ground. We're getting paid to learn this stuff. And so we're going to be here distilling it for you to give you, as Brett said, that time leverage.
00:36:29 · Brett Caughran, Khe Hy
[00:36:29] S0: Yeah, that's exactly right. I mean, great investors don't just pick a case and be like, I know that case is certain. Sort of think about a fan of outcomes like bull based bear. With AI, virtually every dimension of society and markets and Wall Street jobs, the fan of outcomes is much wider. And so how do we navigate that fan of outcomes and understand what AI could mean to the future of Wall Street careers? What could it mean to the harvesting of alpha pools? What could it mean to the future of fundamental investing? These are things we can debate, but no one knows, right? The pace and rapidity of improvement has been striking to me. But yeah, I think that's exactly right, Kay. We're just going to try and learn together with everyone. So yes, that's really what we're doing. We hope you come along for the journey. This will be fun. This will be participatory. So we're filling out the guest list now. And yeah, we just want to sort of drive a service to all the other learners who maybe have the same existential angst about AI that we have. [00:37:50] S1: Couldn't have said it better. Yeah, excited to be on this journey with you all. [00:37:53] S0: Awesome. Well, thanks everyone. And keep a lookout for more episodes soon.