Capital Allocators
Mar 2, 2026

Gavin Baker – Truth-Seeking and Crossover Investing at Atreides (EP.489)

Summary

  • Investment Philosophy: Emphasis on deep fundamental work, hypothesis-driven research, and being rational when wrong, with a bias toward contrarian, double-down-late positioning.
  • Crossover Investing: Argues that combining public and private investing creates informational and behavioral advantages, especially in fast-moving fields like AI.
  • AI Opportunity: Positions AI as an early-stage, multi-decade cycle where having public-private visibility across the stack is critical for edge and underwriting quality.
  • Semiconductor Backbone: Highlights semiconductors as foundational to AI across every layer of the stack, reinforcing a bullish, long-term structural demand story.
  • Portfolio Construction: Focus on factor-aware risk management, managing basis risk, and conviction-adjusted risk/reward sizing with diversified top positions.
  • Short Selling: Same analytical principles as longs but with disciplined risk control (liquidity, leverage, concentration, crowding) and pairing alpha shorts with funding longs.
  • Companies Mentioned: Examples included AAPL, AMZN, GOOGL, META, ROKU, TSLA, GM, and CSCO as case studies and competitive context, not current pitches.
  • Execution & Culture: Stresses constructive debate, continuous improvement (Kaizen), and organizational design to narrow the gap between insight and performance.

Transcript

A lot of being successful as an investor is finding an investment's philosophy that fits your own emotional makeup such that you can be rational when you were wrong. I'm wrong a lot. This is a humbling business. When I am wrong and it's because of something I hadn't considered or a risk I was unaware of, that made it hard for me to be rational. But when the stock went down and it was a risk I had considered, stocks always go down more than you expect. It was much easier for me to be rational and make high quality decisions when I'm wrong, which I think is a lot of what being an investor comes down to. That's very important. As an investor, you have to either panic early or double down late. And you have to be one of the two. It's hard to be both. For me, I'm a double down late person. I'm always buying stocks on the 52- week low list. It makes me uncomfortable when a name is in the consensus. Sometimes consensus is right, but it's important to me to be contrarian. [music] [music] I'm Ted Sides and this is Capital Allocators. My guest on today's show is Gavin Baker, managing partner and chief investment officer of Atrades Management, which oversees $7 billion across [music] public, private, and crossover strategies focused on technology and the consumer. [music] Gavin's deep knowledge of semiconductors and AI may be second to none, but our conversation barely touches that space. We begin with Gavin's upbringing, intellectual curiosity, and path into investing before turning to the beliefs that shape his approach. We explore his view that investing is a search for truth best pursued through debate, intellectual honesty, and a willingness to be wrong, and why people, culture, execution, and risk management matter more than investment process in driving long-term performance. We then turn to the application of those beliefs at AT Trades where Gavin emphasizes the importance of deep fundamental understanding, hypothesisdriven research, and culture that rewards constructive disagreement. We discuss how crossover investing can create informational and behavioral advantages, particularly in AI, and how portfolio construction in both hedge funds and venture capital can narrow the gap between insight and [music] performance. Before we get going, Capital Allocator seems to reach a sufficiently large audience to create all kinds of serendipity. Here's my 16-year-old son, Eric, to share an example. [music] I was hanging out with my friend, and his dad was super mad at us for being so loud. He told us we should quiet down and learn something. He then asked me, "Do you listen to any podcast?" [music] And I said, "No, but I probably should given who my dad is." He then goes, "Here's one." The guy asked a lot of really cool important questions. The podcast he was holding on his phone, none other than Capital Allocators. I sighed an annoyance because this has happened before. And I asked for his phone and started playing the Ben Hunt episode from June 2024. If you don't remember, that's the last time I did the spread the [music] word. The sound of my voice made his jaw fall completely to the floor. Even after showing off to my friend's dad, I'm still not going to listen to this podcast. But you definitely should. Apparently, all the rich smart dads are doing it. If you want to be rich, you should, too. If you already are rich, don't worry. Tell your poor friends about this podcast. [music] They're going to get a lot out of it. Thank you so much for spreading the word. As a disclaimer, I'm both an LP and an adviser to Atrades. So, I'm a little biased in my suspicion that you will really enjoy this conversation with Gavin Baker. [music] Gavin's so excited to do this with you. Yeah, I'm likewise excited, Ted. I'm dying to know what were you like as a kid. I was very competitive, but I was terrible at sports. Pick last for every team always. [laughter] I was very into Dungeons and Dragons. Like, I remember a signature honor was being appointed the dungeon master by the outgoing dungeon master. He was going to his freshman year of high school and I was in fifth grade. I was just so proud to be the youngest dungeon master. I was always into history, the news, current events. I loved military history. Loved playing chess. Loved playing this game Strateggo. I remember how bad I felt the first time I beat my dad at both Strateggo and chess. I wasn't particularly social until I got to high school. Then I became very social. That served me well. When I got to college, people were going crazy cuz it was the first time they'd gone to a big party and I was like, "Wow, I was doing this stuff when I was a freshman in high school. Maybe I'll go crack open a book at a library." Had a pretty freerange childhood. Was able to do what I wanted in the summers. I was very lucky. I grew up relatively privileged. My parents gave me an unlimited book budget. As a family, we'd go to bookstores every two weeks and we'd spend hours there and I'd stack books up. Also, there wasn't a lot of structure to my summers. I spent most of the summers at my grandparents house in the Texas Hill Country, which was an incredible experience growing up with all of my cousins. If I was there for seven or eight weeks, maybe my parents were there for in total 20 of those days. Some of the weekends it was a 6-hour drive from where I lived. So I grew up with all my cousins sleeping in a screened in porch, going fishing, searching for arrowheads, running around. Tennis was very important to me. There happened to be a public swim club sports complex and I went there and there was a racket and a ball and I just started hitting against the wall. That was my first experience with athletic competition because I could practice my way into being good. I realized junior year of high school that there was no hope of me playing even division 3 college tennis [laughter] and I gave it up. But I think that was the first time other than something like chess or strategiveness had an outlet >> the unlimited book budget. Curious how you learned to learn. Strangely enough, I got very into military technology. There's those black composer books. They're this big. They're black and white. of papers and I probably filled 50 of those. I was into the thrust to weight ratio of various planes and I redesigned the F-15 with a canard, a different radar and then these Rolls-Royce engines instead of Pratt and Whitney. Strange I didn't end up becoming an engineer given all of that. I read a tremendous amount about history. I read a vast amount of fantasy and science fiction which I think shapes a lot of who I am today and I still continue to do that. The conversations around the dinner table with my family were always about ideas, books, things that people had read. We would go on family vacations and we'd go skiing, you have a dinner, and then the last 3 hours of the night, we would sit in the living room as a family and read. The first time I went on vacation with someone else's family, I was like, "Wow, people talk a lot and they're talking about different things than I was used to." Arguments were a really big thing in my family. My parents were both lawyers. Arguing with them was always encouraged. >> That blend of competitive vibe often in childhood education gets filtered into grades. A lot of what you talked about in learning has nothing to do with what you learned at school. I was curious your perspective on that. >> I don't think I got very good grades in high school. The classes weren't meaningful to me. I found what I was doing, my own pursuits, much more interesting. I was lucky enough to be a good standardized test taker. So, that helped me get into college despite my grades. A big thing that changed my life, I went to Dartmouth College. I had no business going to Dartmouth given the grades I had. I'd been the captain of the tennis team and the president of Bay Club or whatever. There was a kid at my high school in my junior year. He was a little different. He was 67, 68, a big guy. He got relentlessly teased and bullied. I think this shaped a lot of my life cuz for sure I think I would have had a different path had I not gone to Dartmouth. One day there was a pickup area where you waited to be picked up. I was a junior so I was driving myself to and from high school and I saw this group of freshman teasing this huge kid. I didn't think anything of it. I was just like, "Hey, don't do that. That's not cool. Never do that again." The next day, one of my best friends in high school was the captain of the basketball team, captain of the football team, and I invited this kid to come sit with us. Every month, come sit with us. And never thought anything about it. Senior fall, I get an alumni interview for Dartmouth, which I think was a little surprising to the guidance counselor. And a really big man sits down across from me, and I'm not thinking anything. He's like, "Gavin, do you know who I am?" And I'm like, "Sir, I don't. I'm so sorry they didn't give me your date beforehand. He's like, "Well, I'm the guy who's going to change your life because you changed my son's life. It was the parent of that kid." And he's like, "I'm the president of the Greater Texas Dartmouth Alumni Association. I've never asked for anything and you're going to Dartmouth." And I was like, "Okay." >> As you went through school, what led you into finance? >> It was complete coincidence in college. The most important thing to me by far was rock climbing. I became more serious about my grades. But rock climbing dominated my life. My plan was I'm going to go climb. The best seasons to climb are fall and spring cuz the rock's not too hot. If it's too cold, you can't grip it. If it's too hot, it's slippery. So spring and fall when you really want to climb. And I was going to climb full-time spring and the fall. I was going to be a ski bum in the winter. I ski bummed at the gold miner's daughter at Alta. I was such a screw-up. I went there with a bunch of kids from Dartmouth. Everybody else got rapidly promoted. I stayed at the most junior level of housekeeper the whole time. [laughter] I was the guy who had to clean the toilets cuz I'm a little absent minded. I was going to be ski bomb in the winter, work on a river in the summer, climb, live out of the back of a pickup truck, try and write a novel, maybe write something about history, be a wildlife photographer into photography at one point. You could save enough money working as a ski bomin on a river to support yourself in those shoulder seasons. A lot of people do it. My parents were like, "This is an amazing plan. We've never asked you for anything, but [clears throat] just do one professional internship." The only internship I could get was in finance here in Boston, working for Donaldson, Lefkin, and Jret. I worked for the head broker, the number two producer in the office. Every day a bunch of research would be produced and we'd get these big stacks of nicely bound paper research reports. My job was to look at which clients owned them and then put them in an envelope and mail them to the client. As part of that, I started reading every report and I got so into it. It was everything I loved. It was competitiveness. It was history. It was current events. It was understanding risks. Risk is a big part of rock climbing, accurately calculating it. I have to think about things I learned about risk a lot in the context of investing. I started reading these. I loved it. I'll never forget I had to write a 20page thing at the end and I wrote up Cisco in 1996. I presented it to everybody and everybody was like, "Yeah, but it's already been such a good stock. How could it go up any further?" Was at 20x in the next four years. and being the arms dealer to the internet resonated with me and I knew how important the internet was because Dartmouth had email. They called it blitzmail. I was very familiar with all of that. I came back to Dartmouth. I changed my major from history and English to history and economics. Started the hedge fund that traded options. [laughter] Never looked back. Started reading the Wall Street Journal every day that fall that I spent at DJ. I lived in a one-bedroom apartment in the basement of a woman's house in Cambridge. Every day I'd take the Redline home, get off at Harvard Square. There's the people who you can play chess for money. I'd love to beat one of them. I'm no chance. I'd play one of them and then I'd go home, cook myself craft mac and cheese, and read about investing. I read Buffett's letters to his shareholders. I read both Peter Lynch books. I found this great book that we still use here that helped me understand accounting. taught myself how to build a model and that was how it worked. I remember I printed out the mly full message boards. There was this guy Dale Wetlauer. He talked a lot about return on invested capital and incremental returns on incremental invested capital. That was so powerful for me. I never looked back. Then had a series of finance internships. I was interviewing with Soros and Tiger. I'd interviewed at Goldman Sachs for investment banking. They said, "Hey, we see your SAT score. You're not dumb." And they're like, "We see you've gotten bad grade and I forget what, maybe geology. I don't know what it was." And I'm like, "Listen, if I'm not interested in something, I struggle to apply myself." And they're like, "Well, when investment banking, a lot of it is doing really boring, detailed work that has to be done well." And I'm like, "Well, doesn't sound like it's for me." [laughter] But I'd gotten a job in Goldman Equity Research, and I was thinking about all these things. I didn't always go to class, so I relied on Fred's notes before a economics test and they're like, "Hey man, we just heard this Fidelity pitch and it sounds incredible for you." I interviewed them the next day and this was the first time I learned about the buy side. I said, "Well, I have these exploding offers from Goldman Sachs and Lehman Brothers. They explode like in 2 days and the Fidelity guy was like, "Don't worry about them." And I'm like, "What do you mean?" And he's like, "I'm going to tell you they're not going to explode." I'm like, "No, they've told me they're going to explode." He's like, "Listen, if at noon tomorrow you still believe they're going to explode, you give me a call, but we want you in Boston 2 weeks and these offers aren't going to explode." The guy's name is Steve Calhoun. He's a great guy. And then the next day, Goldman Sachs and Lever Brothers call me and they say, "You have as much time as you want. Your offers are no [laughter] longer exploding." And I was like, "Oh." I think had I gone to work anywhere other than Fidelity, I would not have had a successful career in finance. I profoundly believe that. >> What was it about Fidelity that led you to believe that? >> At Fidelity, you joined out of college. You don't work for anyone. They give you a group of 30 stocks. They give you the phone number of the IR, the email address of the IR, how much Fidelity owns in percentage and dollar terms of each name. They give you three monitors and they say go. That's very different than anywhere else where you work for someone. I don't think I would have done that great working directly for someone. Can't tell you how incredible it is. There's a one-mon training program and it's really good, but then you just get this list of stocks. The only thing you're judged on is results. Sometimes people there believe it's political, but it is ultimately very meritocratic. Sometimes it takes 3, 5 years for meritocracy to assert itself. But it was incredible. Your job is your buys need to outperform your sells. Ideally, your buys outperform the market. and the measured spread, value added on each side relative to the market. Then they measured your impact, how you changed Fidelity's holdings. You can go do the job however you want. If you want to be one of these people who's always on the phone talking to other people on the buy side, okay, as long as it works. If you want to be the world's best modeler, live in a world of 10Ks and 10 Q's, great. If you want to constantly be on the road, if you want to go to every relevant convention, and there was an unlimited travel budget in those days, which is wild, you can do that. If you want to do continuous channel checks, if you're the retail analyst and your process is you just want to drive around, go to every Best Buy you can, great. All you have to do is generate results. You have this incredible freedom and independence. And then it's combined with because Fidelity they run money in every discipline value growth core income small cap midcap large cap they have sector funds for each thing and as an analyst you have to service all of those PMs you have to learn what will resonate with each PM and you begin to find the philosophy that resonates with you. I'll never forget Joel Tillingast great value investor. I went in and I covered these capacitor companies that were wildly over earning. Joel owned one and I was like, listen, the earnings are about to crater. You don't want to own these names at a cyclical peak when they're really cheap because tech cyclicals are different than normal cyclicals. Normal cyclicals, you get peak multiples trough fundamentals. Tech, it's not quite the same. Makes for a lot more V. But even so, everybody understood that capacitors were obviously wildly over earning and KMT ke I think it was at four times earnings. I went into Joel and I was like, "Man, you need to sell this. Their earnings are going to go down 80%." And he's like, "Well, let's do something. Let's look at their assets. Let's look at their equity. Let's look over the last 10 years, 15, and 20 years what their average ROA and ROE is. and then we'll generate those normalized earnings and I'm four months out of college and he's like on those normalized earnings I think it's pretty cheap and you're probably right the stock is going to go down but I've owned it for a really long time I have a lowc cost basis and I'm going to live with this vault you have experience after experience like that with different fund managers which I think is really healthy because a lot of people come into investing they're steeped in Buffett and they're super convinced that that's the only way to do it. By the way, everything is downstream of Buffett. In the English language, 99% of good quotes are from Shakespeare, 1% are from Winston Churchill, and there's essentially nothing else. Overstatement of investing, Buffett is 95%. And then there's Peter Lanch's 4%. Then a bunch of other people for the 1%. It's important to be exposed to all these things because you come in steeped in value and steeped in Buffett and steeped in Benjamin Graham. Everybody's read the intelligent investor. Everybody knows chapters 8 and 20 are the most important chapters. That's not the right philosophy for a lot of people. A lot of being successful as an investor is finding an investment philosophy that fits your own emotional makeup such that you can be rational when you were wrong. As you were exposed to all this, what became the investment philosophy that matches your own disposition? >> A few things. Steve Wymer. Steve's approach was to always do the work himself, to not rely on the analyst rather than expect the analyst to deliver ideas and alpha for you. To go understand the company really well, to go to every analyst day, to go to every relevant trade show, to do your own leg work, to read every relevant transcript. That was most formative for me because what helps me be rational when I am wrong is feeling like I have a high knowledge level on the company. I'm wrong a lot. This is a humbling business. When I am wrong and it's because of something I hadn't considered or a risk I was unaware of that made it hard for me to be rational. But when the stock went down and it was a risk I had considered, stocks always go down more than you expect. It was much easier for me to be rational and make high quality decisions when I'm wrong, which I think is a lot of what being an investor comes down to. That's very important. And as a result of that, I didn't care whether the analysts at Fidelity got their stocks right or wrong. It was utterly immaterial to how I evaluated analysts. There's an analyst. He consistently had some of the worst stockpicking metrics in the department. But I made a vast amount of money with that guy because he always laid out all of the facts, even importantly the ones that suggested his rating might be wrong. And he would always lay out very clearly the bull and the bear arguments. Here are the three bullish lenses through which people view the stock. Here are the three bearish lenses. He would happen to pretty consistently pick the wrong one. It was incredible. And I think that was the way a lot of my colleagues on the growth team who imbued Steve's philosophy of doing your own work. That was what was important to us. Be on top of the facts. Show us the second there is a new fact that's important because investing is a basian endeavor. You have a basian probability space of expected outcomes. The data points should fit within that. And then if there's a data point outside that, that's what you have to super focus. If a data point's inside your expected probability space, it's less urgent than if it's outside. The second thing, there's a woman named Jennifer Uurig, who's one of my closest friends, just like Steve. Her big thing, and it's so true, as an investor, you have to either panic early or double down late. And you have to be one of the two. It's hard to be both. [snorts] For me, I'm a double down late person. I'm always buying stocks on the 52- week low list. It makes me uncomfortable when a name is in the consensus. Sometimes consensus is right, but it's important to me to be contrarian. And then the third one is Will Danoff. A lot of people feel biased to be consistent. If you've been buying a stock every day for 100 days and the facts change, it's hard to turn around and type into the order management system sa sell all. And Will was a true master of being totally dispassionate. He didn't care what he did yesterday. When the facts change, I change my mind. That's John Maynard Kane's. But not many people can do it. Going back to that basian probability space, when there's something that lands outside of that, it changes the thesis. You have to react. So in those three examples, there are threads of growth investing versus value. Joel Tillinghouse is the value guy. You're pitching getting out of a value stock. There's threads of value wanting to double down late. Where did you see yourself on the stylistic spectrum in addition to wanting to know the companies really well? At the end of the day, everything is downstream of value. It's not this great value versus growth debate. This is something that's often misunderstood. When a growth investor owes something at 60 times earnings, it's not like they believe in the greater fool theory. Instead, what you think is that in three years or maybe 5 years, it's a high quality business. And on your numbers out that far, it's at 8 times earnings and it should probably be valued at 25. So, it's a triple. Growth investors tend to have more out of consensus estimates. Warren Buffett's famous statement is the price you pay determines your return. I would modify that and say the price you pay determines your return for a given business outcome. That's a very important modification. If you're paying 40 times earnings and the company is actually going to compound their earnings at a high rate over time, which is possible with a lot of these great growth stocks where they have low margins because they've been investing and then you go into a period where the revenue growth maybe it slows a little but the operating margins explode. But I don't know a single growth investor with good numbers who isn't extremely sensitive to valuation. John Hampton's a famous value guy, short seller. He wrote this thing about an investment memo. It should be 8 to 10 pages. Valuation should be two sentences at the end. It's that complicated. After you've been doing this long enough, you can do a DCF in your head really quick. If you've been doing this more than 5 years and you can't instantly do a DCF in your head, this is the wrong business for you. people are not confused about valuation. And I do think this is why a lot of fundamentally based value strategies have struggled for a long time because the alpha in those strategies was being willing to own these stocks that other people were embarrassed to own cuz they were so out of favor and you didn't have that different of an opinion on the future business outcome. You just were willing to tolerate 6 to9 months of pain owning something really out of favor and then it would mean revert. The problem is when algorithms and quantitative investors came in, they took all that alpha because they don't feel embarrassment. They don't feel shame. They don't feel emotion. And that's why a lot of human-driven fundamental value strategies really struggled. I've struggled for a long time. And the alpha in the market as a fundamental investor comes from having earnings estimates or free cash flow estimates or whatever metric you choose that are materially different from consensus and being right. The three people you talked about effectively had their whole career at Fidelity. You were on that path. At what point in time did you decide you wanted to do your own thing? >> I did my first venture deal in 2001. I was on the floor of the consumer electronic show and I [snorts] met this company. They could do something called RF on SMOS. At that time, most Wi-Fi chips were made with very specialized, more expensive materials. They could do it on this standard silicon. This is going to be amazing. And I said, "Ban, when are you going to go public? I can't wait to invest." Cuz I was a Fidelity. the CEO had heard that this Fidelity guy was at the booth asking about how to invest and a sales guy eventually comes out of whatever you know at CES people are in these rooms and he's like well you can invest right now we're looking to raise around and I'm like but you're private he's like well you can still invest so I call up Wymer and I'm like man I think this is really exciting and he's like oh yeah our iPhone semos Wi-Fi that's going to be amazing it's going to change the world you have a lot of unusual experiences as a young person at Fidelity because sometimes you know at 15% of a company you're the most important shareholder and you're 22 were 23 and you're sitting down with the CEO. So anyway, I go to this room in New York and it was at a law firm's office and I was by myself and there's this giant team. It's the management team. They've hired a banker. It's their lawyer and we're there to negotiate the terms. They say, "Hey, we think this is the price we want." And I'm like, "No, that's not the price. This is a fair price. I'm not going to pay an unfair price." And they're like, "Okay." And I was like, "I I have to go meet with a big public company where we own $800 million worth of it. we need to wrap this up quick. I wasn't even negotiating. That was just the truth. We were only going to put 30 million into this company or 50 and I was going to be late to see the CEO of a company where he owed a billion dollars worth of stock. I was like, "Guys, I don't have a lot of time. Let's either do this or not." And then they're like, "Well, what kind of terms do you want?" And I'm like, "The standard ones." And they're like, "Well, what kind of preferences do you want? What kind of liquidation preferences?" I had no idea what they were. And I was like, "I just want the standard ones." And then they sent over a turb sheet. A fidelity attorney got involved the next day and explained it all to me. And then I re-engaged with venture right around the time Allen and company started bringing growth stage equity opportunities to big mutual fund managers. It was just so important to own Facebook privately in 2010. From that point on, I became very involved in Fidelity's venture efforts. I was getting more into this and it was more exciting. It's becoming clear to me that doing public and private investing together was a big advantage. So for instance, there's this company Roku. No VCs would fund it because every venture capitalist was worried about competition from Amazon, Google, and Apple. I was like, well, I'm really familiar with those companies competing with Roku. It is not on their top 50 list of priorities. It's not like the A team is being staffed on this. And I think there's a room for connected TV box. They had a great UI and the founder, Anthony Wood, was great. We led three rounds in a row at Roku. Made plenty of mistakes as well. Like I did invest in Wei Work. They pushed the price and I did cut my order in half. Never did anymore to the best of my memory, but it's not like it was all roses or successes. But I really liked it. A venture fund, a hedge fund. I got excited about them. They felt like my calling. I'd become passionate about the products. So told my boss it makes sense for me to leave. >> So you go to launch a trades. How did you think about bringing the best of what you saw both from yourself at Fidelity to a firm? When we started, I had a couple of ideas. I do think being at Fidelity for 18 years was an advantage because I saw a lot of different regimes for how you compensate analysts and PMs. Probably most big asset management firm changes the way they pay people every three to five years and it's really hard. You got to find a balance between accountability and incentivizing risk-taking. I had participated in the hiring decisions for hundreds of people and I'd seen how those people had worked out as analysts. Like anything, repetition and seeing a lot of film helps. >> What were some of the things that you learned about how to interview analysts well to get at good outcomes? Point number one, when I started, I thought there was way too big of a bias for people who'd played college sports or been a fighter pilot in the Navy, and I was like, "Hey, we need to have room for a violinist." In today's world, actually having played sports is an advantage or done anything where there's objective outcomes. For a lot of children, they've lived in a world of participation trophies and great inflation. They haven't been confronted with losing with an empirical reality where they're wrong. Having participated in a competitive endeavor is now more important to me than it was. Having a tremendous amount of passion and curiosity is important. And again, I think investing is interesting enough that you can take somebody who has a demonstrated history of competitive success, hard work, passion, curiosity, and a lot of those people will succeed in investing because it is so inherently interesting. I was a little less sensitive to experience. But then a lot of it is I would always ask people, tell me about sometimes when you were really wrong and how you made a decision. And then I would ask everyone, tell me what your favorite class was and the three most interesting things you learned in it. And if you didn't have a good answer to that, you probably weren't that passionate. And even though I was in a different student, there were some classes that I was passionate about. I loved my class on the Iliad and the Odyssey. I loved my class on romantic poetry. I loved my class on behavioral finance. I loved my class on macro. You don't have to be interested in everything, but you have to be really interested in something. And then you have to be really curious. Tell me 10 things you've learned in the last 3 months. Cuz if you're a curious person, you should always be learning. So I'd look for curiosity, passion, and try to tease out this ability to be rational when wrong. That's I think the hardest thing to do. What are some of the other things that you brought to a trades from your experience of Fidelity and how you wanted to build the firm? >> I wanted it to be a place where I do think investing is a search for truth and truth alpha generation is truth comes out through discourse and discussion. you become friends with people you work with [gasps] and you don't want to make an analyst look bad in front of the portfolio manager. So I wanted it to be important for the analysts to argue with each other in a constructive respectful way and to tell me I was wrong. Those were the most important things to me is I wanted it to be a place where debate was really encouraged. people understood that I genuinely liked being told that I was wrong. So, I did a lot of that. Tried to lead by example. Anytime somebody tells me I'm wrong, wow, thank you. Let's talk about that more. I wanted to really incentivize people to not seek out confirmatory information. So, instead of having an investment thesis, we have an investment hypothesis. Thesis being a literal statement of belief. And if you state a belief has a human, you become attached to it. Whereas a hypothesis is quantitatively falsifiable and you're attempting to falsify it all the time. And I think that's an important distinction cuz everyone here always looking to falsify our hypothesis. A lot of being a successful investor, you have to find an investment philosophy that fits your own emotional makeup. And then you always have to find the right balance to quote Michael Steinhard between the courage of your convictions and the flexibility to admit when you're wrong. I tried to set all of that up to make it safe for people to have high conviction and also make it safe for them to change their mind when the facts changed. In some investment organizations, it's not safe to change your mind. So just try to set up an organization where there was healthy respectful discussion and dialogue about stocks. People felt comfortable debating each other and suggesting that other people were wrong. People felt safe telling me that I was wrong and all of that trying to find the right balance between conviction and flexibility and get to truth. It's hard to do. >> How did you organize your team with this idea that you yourself want to know the names really really well? what you learn from Steve at Fidelity and yet you need that research support to have bandwidth. >> The way I think about it, and maybe it's not a perfect analogy, every position in the fund, I think of it as like an airplane. You can pick any moving vehicle. On some positions, I'm the pilot. On other positions, I'm the co-pilot. Some positions I'm in the plane. And maybe the pilot and the co-pilot are people who I've worked with for a long time. I've come to really, really trust. But I'm still in the plane. I'm going up to the cockpit regularly. You know, [laughter] a lot of that comes down to my knowledge level where I feel the analyst's knowledge level is, but it's a balance. How do you get to the depth of research on a name that allows you to feel sufficiently comfortable to know when to buy and sell? I think just doing primary research, you do want to know those bullish and bearish prisms. And any stock, there's like three to seven key analytical debates. You need to understand all those debates. Every once in a while, you'll have an analytical angle that no one is thinking about, but that's rare. The analysts need to understand the analytical prisms for a given stock through which they're that are driving price action in the market. Where are we in consensus? Where are we out of consensus? How do you think of the concept of an edge on a name or knowing something that other people don't? Idea generation and edge are the concepts that I struggle the most with. None of this is to compare myself to Michael Jordan, but if you watch The Last Dance or you read any histories of the Bulls, Jerry Krauss, who was the GM after their second to last championship said, "Listen, players don't win championships. Organizations do." He went on to say, "It's not just Michael and Scotty and Dennis Rodman. It's the way we scout players. It's the way we draft players. It's the way we evaluate players and trade for them. It's the training facilities we have. It's the offense we have. Tex Winters Triangle offense. It's a system. We have an organizational edge." Well, after Michael Jordan left, they never won another championship. >> [laughter] >> That is a truth that a lot of allocators struggle with because it feels safe and good to say, "Oh, wow. There's a process and it's repeatable." And by the way, you have to have a process and you have to have the process that works for you. But any process that's repeatable that generates significant alpha, it's a very competitive world. It's going to quickly be arbed away. In fundamental investing, any process-driven advantage just isn't going to last. So, where does the repeatable performance come from? I would just submit that any investment organization, no matter how big, there's somewhere between two and 10 people, and if you took those people out and the organization had the exact same process, the results would be very different. I always think of idea generation as a very funny concept. Because particularly as a crossover investor, there should be no new ideas. If I'm doing my job well, you should have a defined universe where we have a very high knowledge level. You should be aware of the fundamentals and then the fundamentals drive the valuation, the places where you have the biggest gaps to consensus and ideally the stocks cheap on both consensus numbers and dramatically cheaper on your numbers. That's where you hunt and vice versa. For shorts, I think of the most important edge as recruiting, training and retaining a great team. And then going back to that pilot co-pilot, having an internal process such that we get the most out of our combined insights. For me, execution is the gap between our performance and the performance we could have had based on the quality of our insights. I make an effort to measure that every year and every year get better. That's incumbent on me as the portfolio manager and it's incumbent on the analyst. We are a team on each stock and it's our job to deliver the best outcome on that stock given what we know and then the rest of the team is there to be additive to that discussion and debate. Kaizen is a word that we often use here and my goal is to get a little bit better at execution every year. If you bring all of those insights, the ideas, the team together ultimately comes into construction of a portfolio. Let's just talk about the liquid side for now. How did you think about building a portfolio at a trades that had shorts that you weren't involved with at Fidelity and a bunch of different levers that go into driving returns? >> The only thing everybody who ran a hedge fund said to me, and these are hedge fund luminaries, is listen Gavin, you're going to hear from every allocator that shorting stocks is very different from a long only, and you should be cautious and learn to short. said, "It is super important that you ignore them. There's no difference except for the risk, but the same principles apply. If you're good at buying stocks, you're going to be good at shorting stocks." Now, you have to understand the risk differently. That was the second thing. I've had such a lucky career. I was so lucky to be assigned small and midcap semis in the year 2000. Another really lucky thing that happened to me, I took over my first fund. I think I was 25 years old. I went down 700 basis points relative in my first month. It's a lot. I'm like, "Oh my god, I clearly have no idea what I am doing." Fidelity had just hired a team of quantitative researchers. There was a lot of skepticism back then about the quants. They asked to schedule a meeting with me and these are like people with PhDs and they say all this stuff to me about how to think about risk and construct their portfolio and size decisions and selection for sizing. And I was like, "Oh my god, this is awesome." And I was like, "Well, when is the next time I can meet with you guys?" They're like, "Well, to be honest, not many people want to meet with us. So, we're excited to meet with you as much as you want." So, I met with this team of quants for one or two hours a day, every day for more than a year. I read the Bear book on factor risks. I got used to thinking in terms of adjusting position sizes. But after a rough start, that background and thinking about risk and portfolio construction from a quantitative lens helped me make this transition because it's not the dynamics of shorting that are different in terms of what makes stocks go up or down. It's the risk because they can go up infinitely. You have to manage short squeezes, crowding. One of our clients had this great phrase, there's three risk for a hedge fund, LLC, liquidity, leverage, concentration. I now say LLCC, liquidity, leverage, concentration, crowding. Understanding all of those was maybe a little easier for me because of that incredible education I got from those quans who I'm so grateful to. Where did that land you in terms of the gross net exposures that you like running? >> If you're going to run a high gross, the most essential thing that you have to manage is basis risk. Basis risk is when your longs and your shorts are not correlated. So quantitatively, if you are a hedge fund and you run a levered long book and a net exposure over zero, the most important factor for your returns is long short spread. You can generate an immense amount of long short spread by being long names that are uncorrelated. You can't be long a stock like GM and be short Tesla. From a quantitative perspective, that makes no sense. If you're long growth and short value, that's equally painful. If you're long value and short growth, that means you're just levered value. If you're long growth and short value, you're just levered growth. So, if we were going to run with a high growth, it was important to me to try and generate long short spread in stocks that were quantitatively and fundamentally similar. If you do that, you can lever that up and then that's how you get a sharp ratio that's ahead of the index. That's a hedge fund. >> Typically, a long short fund names people spend more time on the shorts than the longs as a result. I'm curious what drives the hypothesis. Is it a long idea and then you're looking at the shorts to balance it? Is it a short idea that then you have to find longs to balance? >> Both. Yeah. An alpha short without a funding long is hazardous to any hedge funds. The allocators always ask about alpha shorts, particularly as a contrarian. There's nothing more emotionally satisfying than being short in aim that's a consensus long and being right. Alpha shorts are great. You just have to have a funding long against them. If you're going to run with an unlevered long book, maybe it's a little bit different. This is another thing about hedge funds that are underappreciated. If you're going to run with an unlevered long book under 100, then short alpha is irrelevant. All that matters is your shorts must make money. Full stop. >> How do you think about position sizing? >> I think of position sizing as being conviction adjusted riskreward. What I mean by that is the best riskreward that we have in the book might be on a name where I don't feel like we have enveloped all of the outcomes in a highfidelity way. You can't envelope them. So that will be a lower conviction name. That's the conviction adjusted riskreward. Beautiful thing about a hedge fund relative to a long only fund is a long only fund is actually very hard to manage risk. And a long only you can manage it with a blunt instrument. In a hedge fund it's with a scalpel. This isn't to say we're citadel or a pod shop, but I do try to be pretty factor aware. I took the discipline I had from Fidelity in terms of long only portfolio construction. There's three tranches of position size, just high, medium, and low and a conviction adjusted riskreward. The one thing that is important to me is if you have a 35% position in one stock, and then your second position is 3 or 5%, you're not a fund, you're a stock. Maybe some people like that. If I'm going to have one position in a 10, 12, 15% range, a necessary condition for having that one position is feeling like there's at least two, three, four other names that I have a similar conviction adjusted, riskadjusted IRRa in. Therefore, you have a diversified top of the book. Even if your biggest position is 15, the number two is 1 and a half%, you're still a stock, not a fund. am always trying to balance riskreward between those three tanches of bet size within that. The link that people have between turnover and time horizon is one of the strangest concepts I've ever encountered. Turnover should be a function of how often you change your mind. And part of that in any discipline valuationbased process should be about how the stocks move. For me, turnover is mostly a function of volatility. What do I mean by this? You can have a one-mon time horizon, never change your mind, and own the same three stocks for 10 years. You can have a 10-year time horizon and change your mind every month, and you'll have,00% turnover. We underwrite stocks, we look out 3 to 5 years, we come up with a framework for risk and reward. If you're valuation sensitive and a stock goes up 100% in three months, either the expected IRRa that you underwrote to just got cut in half or you took your numbers up 100%. You probably shouldn't be revising numbers up 3 to 5 years out, 100% all that often in a high integrity research process. For me, turnover is a function of volatility, not time horizon. The concept that there are a few real stars that are driving the performance of a fund seems to fly in the face of the success of the pod shops. And I would love your perspective on that hypothesis and whether it applies to what's become a very significant part of the hedge fund landscape. At a lot of these multi-managers, there are a couple of pods and maybe I am out of date who are running a disproportionate amount of money with really good returns. The reason they have a disproportionate amount amount of money is because they have a long history of generating excellent results. At some places there's an investment team of 50 and if you take the top 25 away, it's really different. And it's not to say it's just two or three people, but any competitive endeavor. It comes down to individuals. So let's turn over to the private side. You talked initially about the synergies across public and private investing. Where have you found that to be particularly relevant? >> It's always been relevant, but I think it's paramount in AI. One of the benefits of being a crossover investor is theoretically, if any company is good enough to go public, you should have had a decent amount of exposure to it as a private investor. You should have a familiarity with the business. You've probably met with a company a few times. You've probably done a lot of due diligence on them. Maybe if you're conflicted out cuz you're in a competitor. When a company goes public, instead of starting from scratch with the S1 or the testing the waters meeting, you might have three to five years of history already. It's funny that some investors have an idea that you can do 90 days of work on a business and really understand it. I don't think it's possible for me to really understand a business. I need years of history, in some case decades to see how the business and the management team have responded to challenges, how they have overcome adversity, how they've adapted to changes. It's really hard to do 90 days of intensive work and have a deep thoughtful opinion on a business that gives you at least the knowledge level and the conviction I need to have one of those big conviction adjusted attractive riskrewards. So what are some of the other reasons you think it's important? I have never seen a new technological trend where at every level of the stack the competitors are both public and private. In other words, in the early days of the smartphone, it's not like Apple had loads of private competitors. There was this company, I think it was called Danger, became the basis of Android. The competition was mostly taking place with public with Apple and for a period of time Nokia and lots of other new technological revolutions. It's taken place in public. Even with SAS, Amazon was public. Salesforce was public. AI is different in that at every level of the stack. Whether it's the frontier models, you have OpenAI, Anthropic XAI competing with Google. Whether it's semiconductors, at every level of semiconductors, the key competitors are both public and private. From an application perspective, there's all these verticalized AI companies that are running fast at different things and doing things in a very different way than SAS companies are doing them. To invest in AI, whether privately or publicly, it's a big advantage to have both lenses. I don't know how I'd underwrite a private semiconductor company without a really detailed understanding of the public companies. and I don't know how it underwrite the public companies vice versa for AI having both a public and a venture investment practice it's important at least for me and a trades how have you thought about competing for deals in the private markets >> a lot of this comes from my friend Antonio gracias you want to be a repeat player in life with people with institutions with everything in public equities relationships are important come very close to a lot of my peers. But in privates, people really remember how you behave when the chips are down. If you approach venture with the goal of I want to be a repeat player with everyone I encounter, every partner at a venture firm, they're like a client. We need to take care of them. We want to have a repeated relationship with them over time. With founders, I want to generate references. So there's founders who we've passed multiple times on them, but I still talk to them every 6 to9 months. Viewing venture has a business where relationships are very important. Being a repeat player is important. Doing what you say you're going to do is important. All of this sounds easy, but I don't know how many people actually do it. And it's a big advantage. If the people around the table trust each other, you can get a deal done really quickly and fairly. And those references are so important. Having CEOs who are willing to drop everything to give you a reference for a new founder, that's essential. A lot of venture firms are more resourced to try to create operational value ad. In a world where you're not trying to compete on depth of resources applied to the businesses you're backing, what is it that's causing these CEOs to want to give you those recommendations to others? Giving them good, honest feedback and having that good honest feedback be proven correct. That's one aspect. Being a crossover firm is powerful. Being able to say to a founder, I never have to sell your stock to get paid. That's so powerful. If you execute, I can hold you forever. And then being really honest with the founders. If you execute, I'm going to try and be very helpful to you for future capital formation. And if you don't execute, I'm going to be there to catch you. That's probably a different deal, but it's a fair deal. When you're that position, you can do a lot of things. People really remember if you do those things. That just goes to being a repeat player and not optimizing for a single interaction or a single transaction. If you recap someone and you do it in a fair way, also you do it in a fair way to the existing shareholders who maybe can't participate, people remember that and appreciate that. The golden rule is powerful. Treat others the way you want to be treated. For whatever reason, not a lot of people live that particularly in venture. How do you position yourself against or alongside venture firms that are very wellresourced and are trying to contribute operational value to the companies they invest in? >> I don't know how much operational value those venture firms are really contributing. I think a few of them do. So, we're very close partners with Valor Equity Partners. If you were to read the Walter Isacson biography on Elon Musk, there's a chapter called Antonio and Tim and all of the hard things they did, but they're doing real work. Tim worked in the tube shop at SpaceX, working on the supply chain, working on distribution. Valor has stood up repair centers for companies. They've sent teams to China to help stand up a supply chain. Going back to how important relationships are, I don't like to invest in a company and make it a big position unless it's either a repeat founder who I've had a long duration relationship with or there is a VC who I have a close personal and professional relationship with who has a really good track record and they are on the board. I like to invest when I trust that wise advice is not needed because they're already getting it. and I will pick my spots like cut burn. But I think that's actually a pretty powerful pitch series C and up. If you're a founder, the VCs who do seed A and B who've built companies, they actually have really valuable wise advice. But by the time you have three of those people on your board, if you're a founder, you're wise adviceed out. [laughter] Okay? And so one thing I say is I'm investing because I trust you and these people on your board to make really good decisions. And I trust you that when I have an opinion, which is rarely, you guys will listen. And hey, if we disagree, reasonable minds can disagree. But I'm not going to be another person continuously giving you wise advice. The value ad that a firm like a trades or any crossover firm can have is going public is actually pretty scary to a lot of these companies. There's all sorts of things. This is what you do the first time you get a short seller write a report about you. Do not respond. I know it feels so personal. I know how personal it is. But just don't respond. Let the numbers do the talking. If you get in a public fight with them, it's just blood in the water. Even if you're right, it's just pattern recognition for them. middle, it's going to attract more sharks and it's going to be less pleasant. So, the best thing to do is say, "I'm aware they're short. I'm confident in the numbers. Let's see what the numbers hold." That's what you say. There's a whole set of things we can do to help companies go through the process of going public. You can go on the cover of the S1. You can be there during the lockup. And that's often an opportunity to acquire more stock in a company you know really well at a time when there's a lot of low information sellers. The short answer is a lot of the operational value ad from a lot of these firms is wildly overstated. The wise advice is super not appreciated apart from the truly exceptional VCs. I try to be very high value added per minute I speak to one of these CEOs. After our discussion on thinking about portfolio and construction and risk in the public markets, I'm curious how you go about thinking about putting a portfolio together in your private market strategies. >> It takes time to get to know someone. The way we try to manage risk in the private portfolio is when possible, we start with a small check or have a long duration relationship with someone. And it goes back to it's really hard to make a high quality decision with 60 to 90 days of diligence. So the way we try to manage risk is by making sure that our larger positions in private companies are ones where we've had a long duration relationship with whether it's the CEO, some of the investors. That approach has served us well. There is more bad behavior in private markets than I think people realize. FTX, it's very public, but these companies, they're not filing always audited financials. They don't have the controls, particularly when something starts to go bad. There's a lot of bad behavior that can be really damaging. And then there's bad behavior when a deal goes south by other investors. That bad behavior costs you a lot of money. And the way to avoid that is to take your time getting to know people and only make a really large bet. Once you have a history with a person in a company, do they do what they say they're going to do? Are they honest? Do they behave honorably? Are they as relationship and repeat oriented as I am? My rule is trust buff verify. I will bounce the ball to anyone once. Then if I like them, I'll bounce the ball one more time. And if the ball doesn't come back, okay, no more bounces. It is funny. I think there's this community of people who are like-minded who bounce the ball to and from each other and then you end up in that community and doing deals together. Some of this comes from people knowing you and I'd love to ask you about how you thought about your brand, your presence on X, things like that. When I was at Fidelity, X became a very important part of my investment process. Going back to AI, AI happens on X. The Jax team at Google got into a giant fight with the PyTorch team on Meta on X and the heads of each company's respective AI division had to make a public truce and instruct their troops to stop fighting. You learned a lot following that fight. Anthropic researchers have said a lot of our hiring comes from what people say on X and what they might write in a Substack. To a large degree, AI happens on X, but even before that, there's this giant community of investors sharing ideas, critiquing each other's ideas, in some cases, dunking on each other. But you learn from all of it, and there's a lot of really smart people. So for the last three, four, five years that I was at Fidelity, X was a very important part of my investment process, but I was not allowed to post, I felt like, wow, I've learned so much from X as a consumer, as a lurker, as they say, and that I want to contribute back. And then I found the more I posted, the more I got back. It's very funny. [laughter] Two things are true of most analysts. One is they're on X probably under an anonymous account and two they think they're smarter than their PM. They may not work at a firm like a trades where the PM loves to be told he's wrong. I love it. Sometimes I'll get in these dog fights with 15 analysts. They're clearly smart and they know it and it's like great. I'm not here to be right or wrong. I'm not here for ego validation. I'm just here to learn. When you put something out on X, even if people are dunking on you, as long as it's a smart dunk, you're learning, you're pressure testing your ideas. Our friend Patrick Oshanaugh has said having a big high IQ following is actually [clears throat] a superpower and it really is. So I think for sharpening your ideas, it's incredible. Then there's a whole another dynamic. It really matters for deal flow. So that's why I got on it to contribute. And then I found the more I contributed, the more I got back. One of my friends said X is an exercise and cultivated equinimity. I try really hard to be nice on X. Sometimes people will say that was the dumbest podcast I've ever heard and he's totally wrong about everything. I may or may not have a lot of draft replies, but I don't send them because I try really hard to be nice. People get a sense of who you are by how you behave in public because once you get a big X following, you have this huge community of trolls who are continuously dunking on you and quote tweeting you and replying. If you'd fly above it all, are respectful to everyone, never really get down in the mud. I think people get a sense of who you are. I want to ask you one more question before we dive into the closing questions. How in the world do you find time to talk to all the people you do cover what you do in as much depth as you do particularly in some of these fastmoving sectors? >> My personal life and my professional life are very integrated. I have only a few really good friends who aren't in the business because they've been friends with me since college. I have a doctor in California and a writer in Vermont. And apart from that, essentially everyone I spend time with, at least some chunk of the conversation is about investing. It's about technology. It's about venture. That is what it is. There's no real difference. I'm a very competitive person. This is the only thing I've ever been good at. Jookovic said, "To be a good tennis player, you have to like hitting the ball. For me, hitting the ball is the first thing I do. I wake up and I'm either looking at emails or X and my ex is all about investing. The first eight hours of any day that I'm awake, whether it's a weekend or I'm on vacation, I'm working and it doesn't feel like work. You can't be competitive in this game if you don't, to quote Buffett, tap dance into work. And if you don't tap dance into learning about things and investing in technology, you're just not going to be successful because you're competing against people who are equally smart, equally hardworking, but for them, the work is just fun. Gavin, let's turn to a couple closing questions. Before we get to the closing questions, I want to tell you about one of our strategic investments. We've made a few and each are working on a product or service we think will be valuable to our community. One is FEMA. For all the private equity managers out there, FEMA uses AI to help map the landscape and source private businesses. It's incredible [snorts] what a well-designed AI tool can do to accelerate the discovery of businesses in private markets. There's a link in the show notes so you can learn more. And here are those closing questions. What's one thing most people don't know about you that you find interesting? >> Jeez. Well, I've done a lot of these at this point, Ted. [laughter] I'm pretty open. I'm probably a bigger NFL fan than anyone knows. I'm an extremely competitive fantasy football player. And I should actually say fantasy football is probably the only thing other than investing that I'm good at. I've won my leagues at a statistically improbable rate. And that's cuz fantasy football and investing, they're fundamentally the exact same thing. You have to have a differential opinion. If you just draft everybody where their ADV is, you're never going to win. You have to understand, wow, the reason this running back wasn't good is the offensive line was better. They're changing to a different system and they've upgraded the left guard and I actually think he's going to be good. I think I'm probably a much bigger NFL fan and bigger fantasy football, more competitive player than possible. All proceeds go to charity. I've also become a college football fan because of my wife Becky. It's a big Penn State family. I have not missed a Penn State game in many years. And I do like Penn State, but they don't have the names. It's all about the team. I think that's cool. >> Which two people have had the biggest impact on your professional life? >> The three fund managers that I referenced at Fidelity, Jennifer Urick, Steve Limer, Will Danoff, they've had the biggest impact on me from public and then from a private market investing perspective for sure. Antonio Gracias at Valor, one of my closest friends. We do a lot together. A large part of the way we approach venture is driven by the way Valor approaches venture. What's the best advice you've ever received? This concept of ikagai was very powerful for me. Ikagai is a Japanese concept. There was a possibility that there's what you're good at, there's what you love, and there's what the world values. Ideally, want to find something at the center of all of those. That was very helpful to me to decide to go all in on investing cuz early on, I felt like I got off to a good start. Okay, I'm okay at this. Although I think it takes 5 to seven years to really know and then I love it and the world values it. So I think a guy has a concept was really powerful to me from a business perspective. Your former colleague Mike Baron who now is at Goldman Sachs, he gave me very good advice starting a trades. You have to get to a billion dollars. Don't worry about how you get to a billion dollars. Once you're at a billion dollars, you have some level of durability and resilience. Hedge funds are fragile and the smaller they are, the more fragile they are. I do think it's becoming a scale game and that was very important advice from Mike. So if you have a diversified business, it makes it a lot easier to be rational when you're wrong. If you don't have a diversified business, when you add on all the performance pressure that you naturally feel, the pain you feel from being wrong, if you're also worried about business fragility, it's a problem. And so resilience is an advantage for performance. >> All right, Gavin, last one. If the next five years are a chapter in your life, what's that chapter about? >> I think it's about a few things. Point number one, something I profoundly believe is that 50 through 70 are peak performance years for professional investors. I'm about to turn 50 and I'm really excited about that. some of my closest friends like Steve Wymer who's still investing. He's nearly 15 years older than me and it's just a big advantage. I am excited to be entering my peak performance years and really looking forward to that. A trady's going to celebrate its 7th anniversary of our launch in May of this year. And so I had a 14- year track record of running money and there were all these allocators who were like, "No, we want to see one year of numbers. We want to see three years." And I was like, "Really? 15 years is different than 14? 17's different than 14? what are we talking about? But I have come to see the wisdom because it did take a long time to build processes and frameworks internally. It took a long time in some cases for me to learn how to work with some of the really talented analysts we have. You can't just make no look passes day one. What I do think going back to that execution gap, the gap between your insights and your performance, I'm optimistic that they will help narrow that. We're I think in the very early days of AI if chat GPT is to AI as Netscape Navigator was we're in year three of what should be a 20 25 30-year really exciting cycle or trend given that semiconductors are my first love both as a private investor and a public investor and semiconductors are so foundational to AI. I think all of that is exciting. All of that will play into building a trades into a firm that can hopefully endure beyond me, which would be so fulfilling for me. I'm excited for that, but that's a long way away. I'm gonna do this for a long time cuz I love it, >> Gavin. Thanks so much for spending the time. Really enjoyed it. >> Thank you, Ted. It was awesome. Thank you for being a friend. I've learned so much from you. Thank you. [music] Thanks for listening to the show. If you like what you heard, hop on our website at capitalallocators.com where you can access past shows, join our mailing list, [music] and sign up for premium content. Have a good one and see you next time. All opinions expressed by me or podcast guests are solely their own opinions and do not reflect the opinion of capital allocators or their firms. This podcast is forformational purposes only and should not be relied upon as a basis for investment decisions. It should not be construed as investment advice or a solicitation, recommendation, endorsement, or offering of any kind. Clients of capital allocators or podcast guests may maintain positions and securities discussed on this podcast. 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