When Science Fiction Becomes Reality (Josh Wolfe, Co-Founder of Lux Capital)

[00:00] What are the things that can go wrong? Because if you throw time and money and talent at those things that could go wrong, then you reduce risks or you anticipate them and you kill them. And I think that's what great entrepreneurs do. I think it's what great investors do. As you look ahead over the next five years, where do you see the most important technologies being? What are the most important places to own? Increasingly, the most important space to own is this information sphere, just information operations, because the most dangerous weapon that I think exists today is the thing that can sort of influence and bend and shape and manipulate the will of the people. [00:30] see a near future where robots will be performing science 24-7, the companies, the academic institutions, and ultimately the countries that get this productivity gained in science are going to lead the next half century or more. [00:46] Hey, I'm Mario, and this is The Generalist Podcast. You might have heard the saying, "The future is already here, it's just not evenly distributed." [00:54] Every episode, I have a deep conversation with a founder, investor, or thinker. [00:59] living in that future. [01:01] to help you see it earlier, understand it better, and capitalize on it. [01:05] Today, I'm speaking with Josh Wolfe. [01:07] the co-founder of Lux Capital. [01:10] Josh is one of the most fascinating futurists and technology investors of our time. [01:14] With over $5 billion under management, [01:17] dedicated to shrinking what he calls [01:19] the pipeline from science fiction [01:21] to Science Fact. [01:23] In our conversation, [01:24] Josh and I explore this pipeline, focusing on three extremely futuristic technologies

[01:30] we discuss [01:31] 1. [01:32] The remarkable breakthrough in xenotransplantation [01:35] where genetically modified pig organs are now being transplanted into humans. [01:40] 2. [01:41] the quest to digitize smell. [01:43] with Josh sharing how one of his companies recently teleported the scent of a plum. [01:48] across space. [01:50] and three [01:51] The Hunt for Real-Life X-Men. [01:53] looking for genetic outliers in isolated populations around the world, [01:57] to create. [01:58] promising new medical treatments. [02:01] I learned so much from this conversation. [02:03] both about how the technologies themselves work [02:06] and how science fiction can become science fact. [02:09] I hope you'll walk away with practical insights about how these innovations might reshape our world in the coming decades. [02:16] and what you can do. [02:17] to scout the next breakthrough. [02:19] This is a new podcast. [02:21] So if you like it, [02:22] I hope you'll consider subscribing and joining us for some of the incredible episodes we have coming up. [02:27] Now, [02:28] Here's my conversation with Josh Wolfe. [02:31] This episode is brought to you by Brex. Fred Adler, the influential venture capitalist of the 1970s, was known for displaying decorative pillows in his office that featured a signature business philosophy. [02:44] Corporate happiness is positive cash flow. [02:48] In today's post-SERP environment, Adler's wisdom feels particularly relevant. [02:53] as founders need to make every dollar work harder. [02:55] That's exactly what Brex delivers. [02:58] Their modern finance platform was built specifically

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[04:36] Find out how at WorkOS.com. [04:39] Josh, I'm so glad to have you here. Thanks so much for being with us. Good to be with you, man. [04:44] Today we're going to be talking about some of the most futuristic technologies [04:49] that are actually getting really close to true commercialization if they're not there already. [04:55] And the way I know that you like to think about this is, [04:59] Sort of thinking through the pipeline from science fiction to science fact. Before we get into... [05:05] that concept. Maybe you can give us a brief introduction on you and the investing you do with Lux. [05:11] I'm a co-founder of LOX, and it's great to see you and be with you today. We are a bit over 5 billion under management firms about 20 years old. Peter Hebert and I, the two co-founders, 40 people, New York and Menlo Park. About a third of what we do is cutting edge biotech and med device and robotic surgery. And another third is aerospace and defense and autonomous systems. And then the final third is core technology, typically more defined by what we don't do. [05:39] So very little in like internet, social media, mobile, video games, ad tech, that kind of stuff, a lot. [05:43] in edge inference and AI and compute infrastructure and brain machine interfaces that are non-invasive and all kinds of things that as [05:51] you note are sort of shrinking the gap between sci-fi and sci-fi. [05:55] yeah you you um have set us up beautifully there but one of the reasons i think you're you know [05:59] such an interesting person and interesting thinker is that you're both an incredible storyteller, you're a great lover of stories, and of course, a great technologist and futurist. So when you talk about

[06:11] you know, the pipeline from science fiction to science fact, [06:14] What does that mean to you? And how do you start to think about when a technology might be ready to make that transition? [06:22] Well, it starts with the inspiration and the inspiration are often people who are imagining a future. And there's positive ways to do that and negative ways to do that. And I think both are constructive. I always say that failure comes from failure to imagine failure. [06:34] So on the one hand, I'm always thinking about in life, [06:36] and in businesses and in relationships, like what are the things that can go wrong? Because if you [06:41] throw time and money and talent at those things that could go wrong. [06:44] then you reduce risks or you anticipate them and you kill them. And I think that's what great entrepreneurs do. I think it's what great investors do. I think it's what great leaders of countries do. I think it's what leaders and families do. And so constantly issue spotting and thinking what can go wrong and how do I prevent the bad thing from happening is a useful construct. It doesn't always make you the most pleasant person at a cocktail party, but I think it's a good mental model for life. But the flip side of that positively is, [07:09] is thinking about the people that are imagining the future in a positive way. And, uh, [07:14] Oftentimes, those are entrepreneurs who say, this is the world that I want to live in, and this particular thing sucks, and I want to fix it. And so they're sort of pro-socially motivated to go and do that. And then, of course, at the end of the [07:28] Rainbow is a pot of gold and, you know, they want to get it. [07:31] But there are also just sci-fi writers who sit around and imagine a world, sometimes dystopian, sometimes positive, sometimes take... [07:39] new technologies that are coming onto the scene or ones that have been speculated about or things that they might read in the scientific literature.

[07:44] And then they make these sort of near term prognostications or very far out ones. [07:48] And that is the canon of literature that has existed for [07:52] hundreds of years really, [07:54] But that have imagined, you know, everything from 20,000 leagues under the sea to War of the Worlds to Star Wars and Star Trek and Battlefield Galactica and Total Recall. And these are the things that oftentimes provide a canon of inspiration. [08:11] for a scientist. [08:12] that says, oh, that's pretty cool. Like, what if it actually could be made? What if it actually worked? And there you get everything from [08:19] companies that are focused on real life X-Men, you know, genetic mutants that [08:23] actually could be [08:25] the source of druggable targets for the rest of us. [08:28] They're sort of outlier people. [08:30] You get people that have developed drones straight out of Star Wars, like the pod racing team. You got people that develop robotic surgery. [08:36] like Orr's Surgical Robotics, which we had sold to Johnson & Johnson for $6 billion, that really came out of the scene from when Luke Skywalker's arm was cut off by Darth Vader and a robotic surgeon very acutely and with high precision repairs that arm. [08:52] And so there's just endless archive of [08:55] Sci-fi authors who one could argue maybe became less creative or our scientists have become more creative compounding what they do and know through the application of technology. But it's a great source to look for new ideas and to find the entrepreneurs that are inspired by them. [09:12] Well, today I'm [09:13] You know, super excited to dive into three of these extremely futuristic ideas that

[09:18] if they weren't already happening, would absolutely feel potentially far fetched or in the far frontier. [09:25] And the three that we're going to talk about are xenotransplantation, [09:30] which is maybe a scary sounding word, but is actually a quite simple concept. [09:35] Computers that smell, which is just-- still blows my mind-- [09:39] And one that you mentioned just then, which is sort of these genetic mutants and how we leverage [09:46] these different things [09:47] populations for [09:50] for basically these different populations to solve biological problems. And so [09:55] Let's start with xenotransplantation. For those who maybe aren't as up to date on their ancient Greek, what does that really mean? And what is the sort of state of the art today in your involvement? [10:05] Well, you know, the Xeno is a sort of foreign or alien, you know, outside. So, you know, xenophobia, you're afraid of foreigners. Xenotransplantation is actually taking organs from another living organism. [10:18] and transplanting it but instead of it being from a human to a human it is from an animal to a human and uh that was once a ridiculous idea sound like frankenstein but today uh one of our companies called egenesis [10:31] has pioneered over many, many years. [10:34] the capability to genetically engineer a pig. [10:37] that produces organs, in this case, kidney, to be able to transplant in a way that is immunocompatible with a human. [10:45] so that they don't have to take as many or any drugs to suppress the immune system, which is naturally trying to reject this foreign body that is necessary to keep somebody alive.

[10:57] And so [10:58] That is xeno transplantation. It is [11:01] astounding to me. [11:02] to put it in perspective, with 8 billion people on Earth. [11:06] and a billion five in india and a billion four in china and 375 million in the u.s [11:12] There's 10 people. [11:13] that are [11:14] in outer space. [11:16] which is pretty cool. [11:17] But there's two people, only two, that are walking around with a genetically engineered [11:21] kidney. [11:22] grown in a pig and then transplanted into a human to save their life. [11:27] And it is the start, but it is one of these directional arrows of progress that's inevitable. [11:32] And instead of having to wait for [11:35] a loved one to be on a transplant list and wait for somebody else to suffer and die in a car accident so that their organs can be transplanted, this is the future. [11:44] It starts with kidneys and it'll go into liver and heart and other organs that are necessary. And [11:50] It's... [11:51] once sci-fi and now sci-fact and [11:54] We're talking here in... [11:57] second week of March and it is [11:59] Just graced the front page of the New York Times and reporting with crazy images of the pigs and the transplants. And we're really proud of that. [12:07] So yeah, sci-fi to sci-fact and xenotransplantation. [12:11] You know, one of the orienting philosophies for launching this podcast is, you know, that famous phrase, the future's here, it's just not evenly distributed. And this is, you know... [12:19] such a tangible example the future you know is here in this in this idea that there are two people walking around [12:26] with these modified kidneys. And yeah, as you said, you can totally see

[12:31] how that is going to change over the coming decades [12:34] to be increasingly large numbers, [12:37] One of the things that [12:38] I was struck by when I was sort of researching this a little bit, [12:42] was, [12:42] you know, [12:43] What a history there is in... [12:45] Yep. [12:46] early xenotransplantation, [12:48] You know, as far back as sort of the 1800s, I was reading about skin graphs where [12:53] people were using frog skin on humans to try and, you know, [12:57] help with wounds and burns and things like that. And then in the 1960s, [13:02] you know, there are sort of [13:03] experiments with with chimp kidneys i believe that didn't you know ultimately work out didn't really go anywhere [13:09] What was it about eGenesis in particular that made you think, you know, this is the right time, this is the right team, the right technology that can, you know, [13:18] really make a step forward here. [13:20] A lot of this, the briefers in genetic engineering, in particular in CRISPR, [13:24] And so there's been a lot of hype about genetic engineering and very few actual tangible things. [13:28] benefits. There have been some eye treatment for rare disease and blindness and some others that have been FDA approved. But by and large, this was just a very clever... [13:37] Use. [13:38] of saying, how do we take... [13:39] the organs here that are rejected, [13:42] and make them compatible. And to do that, you have to change the genome of the organism. [13:48] edit it and ultimately be able to produce organs that are compatible. And so the team, a combination of Harvard and MIT and other brilliant academics and George Church, who's a very creative scientist, [14:00] Put in the hard work and it took a very long time.

[14:03] And we came in and I believe last year, year and a half ago, led a nearly $200 million financing [14:09] and gave them the fuel for the fire that had now proven to be de-risked technologically and was about to go into the first live patients and Mass General Hospital, a very prestigious institution performing the transplants. [14:23] And this is now something that from some of my international travels, [14:27] there are people that are going to be competing to set up what may be very large farms of animals, taking into account everything from religious and ethics considerations and the morality of this, [14:39] all in service of what I think is the great moral default undertone of much of what we do, which is how do you reduce human suffering? [14:47] And I think it's a really noble endeavor and one that's going to save a lot of lives. [14:52] So to make sure I understood there... [14:54] Basically, now that this is sort of [14:57] We see the early signs of it being proven and we're seeing people actually receive these kidneys. [15:02] You're now seeing sort of this ecosystem emerge around it where you're getting farms for pigs. [15:07] to, you know, essentially, yeah, cultivate the organs that will then be used by humans. Is that sort of, did I understand that right? It will. There aren't farms today, but there are groups that want to set these up. [15:19] and not just in the US, but in other parts of the other regions of the world. [15:24] where there is either a scarcity of organ donors or a culture [15:28] that hasn't really, um, [15:31] embrace transplantation and and it's just a

[15:34] very interesting new [15:35] capability that's going to be available to everybody on the planet. [15:39] Yeah, one of the things that is so interesting about it is that there does feel like this sort of fundamental taboo of [15:45] You know, animal organs in humans, you know, pigs are especially a loaded animal. [15:50] animal in many cultures [15:52] Did you have any sort of like... [15:54] visceral reactions to that idea? Have you sort of seen how others respond to it? And, and like how much education needs to happen for [16:02] for this to sort of [16:03] really take off. [16:05] No, I mean, we've always had sort of moral considerations and the stuff that we fund. But to me... [16:09] I eat pigs, I eat ham, I eat bacon, I eat [16:14] cattle, I eat chicken. [16:16] My co-founder Peter likes his food to be as distant from the animal [16:21] as possible you know so he wouldn't eat like a live turkey but sliced deli turkey is okay um you know like a thanksgiving turkey is very you know discomforting [16:29] But the fact that we eat our animals and put them inside of our bodies [16:32] is... [16:34] For some people that's just absolutely [16:37] I'd [16:38] immoral and disgraceful. Uh, [16:40] the vast majority of the world [16:43] are omnivores and we eat plants and we eat animals, but instead of eating animals, if they are producing an organ and can themselves still survive, [16:53] with one kidney instead of two, and you can save somebody's life. [16:57] It's a... [16:58] Beautiful thing. [16:59] So I think it's deeply moral. [17:01] And I actually think that there are some religious groups that, as you noted,

[17:04] Typically pork is not something that they ingest, but I think that you will see [17:09] Um, even in [17:11] some aspects of the Muslim world that they're all [17:13] the fatwas issue that say not only is it consistent with something like Islam, [17:18] but it's a moral imperative because to save one life, [17:21] is to save many. And, um, [17:24] Yeah, I think it's going to [17:26] for sure set up interesting conversations, but [17:29] Most importantly, it's, you know, reducing our ignorance into [17:32] How do we [17:33] produce more organs and it would be great if we could grow them [17:37] in vats and factories and labs. [17:39] But today, [17:41] loved ones will suffer and die because they don't have a transplant. [17:45] And if you can stop that human suffering, [17:47] It's a great moral good. [17:49] You mentioned that this is [17:51] a sort of team that's been working on this for a long time. I think, you know, eGenesis started in 2016, correct me if I'm wrong, and then Lux invested in 2024. [18:01] Was there a specific moment you were looking for, a specific inflection that, you know, [18:06] you were waiting to see before you invested. And I know that you also, I think, made it your largest first check ever. So [18:12] That also strikes me as a sign of great conviction and perhaps that something had been unlocked. [18:18] It was the fact that the surgeries themselves were happening. So, you know, there was a risk that the surgeries would not go well. [18:25] But they did. And it was a company that also [18:30] As part of our strategy, we do thesis-driven investments, we do people-driven investments, we do sort of special situations.

[18:36] Sometimes that's taking a team out of a big company. Sometimes that's taking an existing company that's been around [18:40] for six, seven, eight years and maybe was undercapitalized or maybe was overvalued [18:45] and it wasn't sort of appropriately priced for the risk that people were taking. [18:48] And so sometimes we can come in [18:50] and treat the prior investors well, treat management well, but [18:54] sort of re [18:55] capitalize the business and that was the opportunity here. [18:58] We've known the company, I want to say for probably five years, [19:02] where we had looked at investing prior [19:05] But we just [19:06] got more comfortable with a combination of the science being de-risked, you know, this being approved and being in the hands literally of some of the most capable surgeons in the world. [19:16] Seeing the response from... [19:19] you know, major... [19:20] key opinion leaders in the field. [19:22] and seeing a tremendous economic opportunity. [19:26] for the company. So yeah, it sort of all came together and, [19:29] We made a proposal and negotiated and ended up working out really well. [19:34] Amazing. [19:36] You mentioned that so much of it is about [19:38] doing the sort of [19:39] CRISPR editing to [19:41] allow the human body not to reject this, [19:45] Without being too nitty gritty, what are sort of the things that you have to start to edit or tweak to make a pig kidney disease? [19:53] uh, [19:54] palatable for lack of a better word to a human body. [19:57] Well, you're ultimately trying to get the somatic cells to have genetic expression that [20:04] will be consistent so that the human immune system doesn't reject it.

[20:08] And so you're doing germline genetic editing. [20:13] And [20:15] You know, that's a lot of trial and error over time. [20:18] which also took some time. [20:20] But yeah, I was successfully done. [20:22] There's a sort of, I don't know if you'd call it a field or a... [20:27] subsect of interesting papers or studies [20:31] around the idea of sort of persistent cellular memories and how [20:36] People who receive transplants sometimes take on [20:39] the personality traits of the donors. And I remember when I sort of first [20:42] read a few of these stories, they really blew my mind. It's, you know, for listeners who haven't heard of this, it's sort of [20:48] on the order of... [20:49] Guy works in a white collar job and [20:52] the implication in some of these stories is that maybe he's a little bit uh xenophobic uh so to speak and then he gets a donor from you know someone from a totally different race who happens to love jazz and plays the the saxophone and all of a sudden this guy is like [21:08] you know, hanging out with the totally other folks at the factory is obsessed with jazz music and has, you know, totally altered their their personality. [21:17] I suspect you've thought about this much more than I have. [21:21] Do you think those phenomena are real? Do you think about that in response to something like eGenesis? [21:28] In that particular case, I don't know how much of it was something that like, you know, integrated into the body's network or its nervous system versus somebody understanding that if, you know, for example, they were racist before and now they have, you know,

[21:40] somebody different cultural background and they're alive because of it they might be [21:44] you know, have a profound sense of gratitude that could affect their preferences, their behavior. But yes, there are interesting [21:50] studies about [21:51] somatic cells that [21:53] have their own form of memory that is outside of just our hippocampus and our brain and the patterns of neurons through experience and genetics. [22:01] And there are some interesting studies there, but it's all quite early. I would here again, probably turn to sci-fi because there are a whole bunch of [22:09] thrillers that I remember in the 90s. [22:11] of [22:13] you know, somebody that [22:14] got a transplant, whether it was like eyes or a hand or something, [22:18] hard and oftentimes it was a serial killer. [22:21] You know, there was... [22:23] Being transplanted into like this otherwise good person and then the good person is like – so there's a whole trope of sci-fi of like man that wants to do the bad thing or the work that has turned evil or vice versa or the eyes. [22:37] you know that she thinks but uh thankfully that is fiction but it is thought-provoking you know um [22:43] And for sure, we... [22:45] We have, um, [22:47] you know, sort of systemic stress and other things that [22:50] affect epigenetics throughout our body. And so environment can, you know, sort of form its own [22:57] Um, [22:58] physical instantiation of memory from events and traumas and [23:02] and great experiences and um but but we know very little about that so yeah i would [23:08] I would... [23:09] say I'm excited about the scientists that are doing real work and, and,

[23:13] speculating and coming up with hypotheses and then running them down. And then I would also just look towards the site, the fictional [23:20] sci-fi literature and you know and maybe find some inspiration and [23:25] Some good warnings there. [23:26] Yeah, let's hope in the real world it's more makes you love Miles Davis than becomes a serial killer. Yes, sure. Yeah, super interesting. One sort of final thought on eugenesis. I'm curious why kidneys were the right place to start. Is that sort of a... [23:43] a response to a need where those are just heavily sought after transplants? Is it something about the science that makes that the right place to begin? [23:51] It's easier. They're primarily structural balloons. Um, [23:55] And so when you look at other things like liver and things that are maybe producing hormones or have much more chemical signaling pathways, it's more complicated. [24:04] So I think that you will see those things next. I know that you will see those things next, but starting with kidney, which is effectively a structural, you know, [24:12] things sort of like a bladder, and it's a filtration device. [24:16] and it's just a lot easier. So yeah, kidneys and bladders are easier. And then, you know, as you move up, [24:23] things that are more integrated with the nervous system and [24:26] signaling pathways from [24:28] you know, [24:29] liver, lung, heart, way more complicated. [24:31] and brain forget about. [24:33] Maybe we can move on to what I think has been quite a longstanding obsession of yours, which is the idea of, [24:40] digitizing smell, allowing computers to smell, recreating smell digitally,

[24:45] How did that obsession begin for you? [24:48] It really was one of these things where I'm constantly looking at [24:53] Like what exists? [24:54] And then in a very sort of, I don't know, David Deutsch or Karl Parper sense, [24:58] It's like if you could imagine it and it obeys the laws of physics, it can and will exist at some point. [25:03] have the ignorance and don't understand. [25:05] When I look at my phone, it's got eyes and ears. [25:09] It's got camera that they can see. [25:11] And those cameras started out with, [25:13] pretty crappy quality and have gotten 4K or 8K quality. [25:18] could do still photos and now they could do [25:20] high def video and cinematic distance. [25:23] audio started out [25:25] sort of mono and not that great. And now it's very high quality stereo audio. [25:30] And if you think about your five senses, [25:33] You don't have computers really tasting. [25:36] You don't have them really feeling physically. There are haptics that are being integrated into some robotic platforms. [25:42] And then you can't smell. [25:44] And it would be amazing just thinking about the evolutionary salience of [25:48] our sense of smell, [25:50] If you've ever read Proust in Search of Lost Time, the entire story unfolds. [25:54] when he bites into a madeleine and the smell and the taste, [25:57] harkens back to when he was 9 or 10 or 11 years old. And the entire story sort of, you know, this flood of memories, you know, gives forth the flood of words in the story. [26:07] We've all experienced that where you encounter a smell, [26:10] And it is a very personal, meaningful [26:14] Trigger. [26:15] And it could be...

[26:16] cotton candy, it could be the smell of [26:19] the, [26:19] shampoo of your first kiss or your first boyfriend or girlfriend. It could be a sort of slight musky smell of a hat that your grandfather wore or a shirt that your grandmother or perfume or a cologne, the smell of a certain food or barbecue, the smell of the beach, the... [26:35] You know, there's all these smells that are emotionally imprinted in our body, in our memory. [26:41] Olfaction itself is the one sense that is not intermediated by any other... [26:47] sort of neural blocker, so touch, [26:50] is intermediated and sight is intermediated, but smell and molecule binds directly to your olfactory bulb and goes right to your brain. And that's everything from, you know, the beauty of a rose to the stink of a fart. And that's little particles that bind and. [27:06] So it's been something that I've been obsessed with and have watched as [27:11] Entertainment people did like smell-o-vision and... [27:13] you know, and then people have always been generating artificial smells, whether it's [27:17] brands like Abercrombie and Fitch or, you know, the pretzel stores and malls and those kinds of things. [27:23] And their signature brands inside of hotels, you know, for a particular fragrance so that every time you walk in, it invokes a particular feel, just like the retail experiences. And so we... [27:34] We'd spend a lot of time trying to find people that were developing things [27:37] the means to effectively record [27:39] and playback smell in the same way that you could record a sound or record an image. And those things started out, again, crude and low resolution or black and white, and then became rich in 3D in full color. So,

[27:51] We probably... [27:53] met with 20 groups over the years. [27:55] None of them could really do it. People had small little... [27:59] you know, sort of parlor trick type things. [28:02] Thank you. [28:03] And then I'm on a biotech board actually for a CRISPR company where we backed Fang Zhang, who's one of the co-discoverers of CRISPR. [28:09] And at the Broad, [28:11] And he's focused on targeted delivery of genetic medicine. And you've got an all-star board, [28:17] as a [28:18] John Mariganore from Al Nilem and Vicky Sato from Vertex and Bob Nelson from Arch and myself and [28:25] and Dave Shankine, who's at Google Ventures, GV. And Dave and I were talking [28:29] about this particular interest of mine, and it was one of these serendipitous moments. And he said, you have to meet this guy, Alex Wilchko. [28:35] And I'm like, who's he? And he's like, well, he spent some time with us at GV. [28:39] you know, a day a week, sort of helping advise us on some life science stuff. But he's at Google Research, Google Brain. [28:43] We had acquired one of his companies and he's here and he got his PhD and Bob does his lab and [28:49] at Harvard, who was sort of like in the lineage of Richard Axel, who won the Nobel Prize for a whole faction who we had previously backed. [28:56] in another company based out of here in New York called Calliope. [28:59] that was focused on decoding the gut-brain axis, [29:02] I'm like, please introduce me to Alex. And we met and I don't think he had met an investor that was as first or interested. [29:08] in digital old faction as me. And I had not met anybody that I thought was as credible and sophisticated in the space that could talk about the, [29:15] Ultimately, um, [29:17] neural nets and AI and [29:20] odor maps that he was creating on the software side

[29:22] and the psychophysics of smell itself and how a witch described [29:26] you know, sort of, [29:28] language that sometimes sounds like wine, you know, it's, [29:31] robust and cedar and elegant. And, you know, these things are sort of like qualitative, non-precise. And he was putting a mathematical precision [29:37] to like smell of a rose or the smell of a plum. [29:40] And that's the same sort of precision that [29:42] you would see in Shazam, [29:44] being able to detect a sound wave that it walked into a noisy [29:48] cafe and you hear a Kendrick or Drake song amongst the chatter, it's able to parse that sound wave [29:55] and map it to a database and say that is, you know, [29:58] Kendrick Song and um [30:00] And so that was pretty cool. [30:01] And we ended up spinning out, which is a theme that we've been doing in a few companies, but for big tech. [30:07] spinning him and his team out. [30:09] and GV and [30:11] Amazon and a bunch of other people came in into a Lux led round. We did about 60 million. [30:17] to, uh, [30:18] to finance him and uh [30:21] Uh, he teleported the first smell about two months ago, which was actually a plum. They broke down the chemical essence of a plum and then [30:27] used sensors and effectively chemical sniffers to [30:31] decoded into a mathematical signal and then recreate that at the other end, using a combination of robotics and chemistry. [30:37] to transport people [30:39] Uh, [30:40] smell of a plum from here to here, which is just wild. So, uh, [30:44] Yeah, this idea of giving machines a sense of smell. [30:48] is really profound and historic and important. [30:52] And...

[30:53] There's a few main markets there from... [30:55] Shazam for smell. [30:57] odor generation, changing the economics of flavors and fragrances, and then even thinking about how [31:03] in healthcare diseases like COVID cancer, Parkinson's, Alzheimer's all have sort of a [31:07] Dogs can be trained to detect. [31:10] We can smell [31:12] but machines should be able to smell. [31:14] And then there's some interesting adjacent [31:17] markets in [31:19] defense and intelligence use cases for being able to detect or tag certain actors in the world [31:25] So it's really a new capability [31:28] And [31:30] Yeah, we're super excited about that. [31:31] truly a new capability. You are essentially giving computers, as you say, a new sense that they, you know, fundamentally did not have before. [31:39] There's so many parts of Alex's story that I found really [31:44] interesting and entertaining. One of them is he wrote a [31:47] a blog post, I think, about his obsession with smell and how [31:51] He's an 11-year-old boy obsessed with cologne and perfume, and his parents are like, no, we're not going to be buying you a bunch of, you know... [32:00] Davidoff Coolwater or whatever it is. By the way, he grew up in like College Station, Texas, you know, which is sort of like Friday night lights, you know, so imagine being [32:08] a young tween teen who is into perfume and fragrances, [32:13] against the backdrop of a Friday night football. You know, I always like to say that [32:17] chips on shoulders, put chips in pockets and, [32:20] you know, you're going to grow up with a pretty big chip on your shoulder in that kind of environment.

[32:24] As you said, straight out of science fiction, I think of Huxley... [32:28] The Centauri can [32:30] And then I couldn't help but think of a darker reference, which I wondered if you've explored, which is... [32:37] The novel Perfume by Patrick Susskind. [32:40] Yes. I mean, it's a crazy idea, but it's basically, I think, a perfumier from the sort of 1700s of France who becomes obsessed with a woman's scent. [32:48] and kills her to get it or something like that. But as you say, Scent is just so emotionally [32:55] loaded, [32:56] you sort of reference this first [32:59] Plum 1.0, which I actually ordered a vial of, so I'm looking forward to smelling it soon. [33:07] What are the sort of like nearest term tractable commercial opportunities that you see like [33:13] It feels like the Plum 1.0 is like an amazing, [33:16] sort of almost proof of concept. But yeah, what comes next? [33:20] Well, I think the low hanging fruit is the flavor and fragrance market. [33:24] Um, it's enormous. [33:26] It's very analog in how things are done. [33:30] There's a handful of perfumers [33:33] and experts that smell things and, [33:36] It's very French and European in its style. [33:40] And I think there's a level of precision [33:42] of stripping some of the [33:46] hand-wavy, qualitative, [33:50] things that people in the industry do when they're doing quote unquote briefs, which is [33:54] basically saying like this is what we want it to smell like and we want

[33:57] you know, a little bit of cedar and a little bit of rose, [33:59] And we wanted to sort of invoke this, you know, [34:02] particular feeling and then you have these perfumers that [34:05] you know, coming with a French accent and it's a little bit performative. [34:09] And so there's a mathematical computational precision here. [34:13] which can change the economics of that world for everybody from IFF, International Flavors and Fragrance, to Givadana, Firmanish were the major. [34:22] fragrance houses [34:25] to a long tail of small players in Pennsylvania and the US and elsewhere that [34:31] that make these things [34:33] It's the ability for [34:35] celebrities and influencers and all kinds of people that want to conjure their own sense. Oh, wow. Do that. That is wild. So there's a one tail that you wanted to [34:43] create a generalist, uh, [34:45] you know, uh, fragrance, then the Mario Spritz. Yeah. And, uh, [34:50] And so, you know, in some of this, I don't personally wear cologne and, um, [34:55] And I always find like the most offensive part of like the airport is going through duty three when they're like, you know, spraying you or stuff. It's like a barrage on my senses. But, um, [35:05] But it is a huge market. [35:06] and people want to smell beautiful and people want to smell beautiful things. So I think that that's the easy low hanging market. [35:15] But to me, the bigger thing is... [35:17] continuing to miniaturize [35:19] and have a moat around the capability to have a Shazam for smoke. [35:24] Because being able to record the moment when you're on the beach or you're in some weird

[35:30] factory and it smells bad or some amazing market in Thailand or India or Japan. And just being able to record those experiences in this different dimension, which is a very rich one for us, [35:42] is I think really powerful. And so that's the thing that I'm most excited about [35:46] And then they're already working with the Pentagon and certain groups on a variety of interesting things. In some cases, you might want to produce a smell that is really pungent and [35:56] repelling people and in other cases you might want to [35:59] you know, be able to detect a group of people or certain people who have a particular odor. There's opportunities for [36:06] more environmentally friendly insect repellents because that's a form of [36:10] you know [36:12] chemical creation that [36:14] can repel or attract. [36:16] So yeah, all those kinds of things. And they've had inbounds from... [36:20] thousands of people and some of these are not like great markets to go after. [36:24] But one was for a very famous... [36:28] shoe company, [36:30] or a reseller of like high-end shoes and sneakers [36:33] that, um... [36:35] wants to be able to make sure that they have [36:38] real ones or fake ones. And right now they have human sniffers that are literally smelling the shoes because you can tell if something was made in a fake Chinese factory and it just smells sort of gross and rank. [36:49] versus something that originated from [36:52] Nike or whatever and [36:54] And so they developed the capability that for that particular company that you can just do this super quickly. [36:59] I want to come back to the Shazam piece in a second. But before we do, you mentioned that it sort of like fundamentally changes the cost structure in the fragrance market. Is that because it cuts out the sort of.

[37:10] the French perfumier as a sort of [37:15] middleman or tastemaker? Like where does that piece get cut out? Some of it is in being able to simplify the concentrates and the [37:26] key chemical components that go into these because they can very precisely say you know this is like to make chanel number five or something like that is like these 17 different chemicals and these different processes [37:37] And they can deconstruct that and sort of recreate it and say, you only need these seven or eight things to produce that exact same [37:42] your effect on the human [37:44] human brain. But then there's all kinds of other things like [37:48] you know, modifiers and things that sort of make the smell last or linger for longer, things that make certain notes more transient. So it's quite complicated. And I have an appreciation for that. [37:58] But yeah, being able to change the economics is being able to change the constituent components and [38:03] and cut out things and make it faster and make it cheaper and then be able to generate things super fast instead of [38:09] having to go through this very qualitative process. It's like, no, no, this is how you make this thing. And [38:13] This is how it will smell predictably every time. [38:16] And here are the components board. [38:17] in the ingredients. - Yeah, here's the sort of like structural recipe of this, and we have total control rather than, you know, this, [38:25] more intuitive sense, [38:26] On the Shazam piece, [38:29] What do you think happens once we can do that? Like, do all of us start to have [38:33] smell printers in our home that we... [38:36] are saying, oh, this was the smell... [38:39] when I went to my son's little league game or whatever it is, and we print those out to sort of remember, or are they sort of

[38:46] incorporated on our devices somehow, [38:49] It's going to be a while until something is incorporated on a device because you basically still need a repository of chemicals that can be combined to produce that thing. Just like we don't have like, you know, printer. I mean, there are people that sort of make these small little printers that, you know, are portable. But so I think that that will take quite a while for something to be portable. [39:06] But for sure, [39:07] In home. [39:09] the ability to conjure [39:11] a smell that you recorded is something that I think is years away from people actually being able to possess and have. [39:18] you know, I do that all the time. We host couples and families over our house and we go to [39:22] people's homes and [39:24] you know, they show us photos or they share videos or like, you know, and they, [39:27] And that's a very human meaning making moment sharing thing. [39:32] timeless phenomenon. And to be able to say, like, not only like, oh, yeah, look at this time we were [39:36] in Barbados or [39:38] You know, here's where we're in this market in Japan. [39:40] but like, hold on, I want you to smell this. Yeah. [39:43] That's so intimate. It's just, and it's sharing. It's, uh... [39:48] So, [39:49] Yeah, that to me is an inevitability. [39:51] For dishes, you can imagine that being so interesting. If someone said, this was the best place I went to in this Thai market, you should smell this curry I had. A wine, a meal, a meal. [40:03] And look again, [40:04] People do like aromatherapy, but if there's a happy place, [40:09] You know, some people take photos or videos of a beach. [40:11] they're feeling stressed, they might watch it, but if there's [40:14] a particular moment that you want to go back and

[40:18] sort of like it really does provide that very personal like [40:22] And it just brings you back, just like, you know, In Search of Lost Time by Proust. And it's very real. And it's universal to people. [40:30] The great irony, by the way, [40:32] is when I struck the deal with Alex to spin this group out of Google, [40:36] I had evaded COVID. [40:38] Two and a half years. So this was late 22. [40:41] Um, [40:42] and I finally got COVID, [40:45] but I didn't know it. [40:46] I had come from San Francisco from another board meeting. [40:48] of a high-tech biotech instrumentation company. [40:51] I landed in New York. [40:52] I go home, I go to the gym. [40:55] I work out, I go upstairs, my wife is like, "Get in the shower, you stink." [40:59] And I'm like, no, I don't. And I go in the shower at night. [41:03] Use that shampoo and the soap and I couldn't smell anything. [41:06] And I was like, oh, crap, I totally have COVID. And I test positive. And that was my only symptom was lost in my sense of smell. And I guess my second symptom was the anxiety of when I would get it back, which turned out to be three weeks. So there's not much you could do. Then there's some people that have reported lost to smell. But the irony was that was when I was striking the deal with Alex. And then you strike the deal. I had lost my sense of smell. [41:28] And then I remember a few weeks later I was in LA [41:32] And I was taking a walk with a friend down in, um, [41:35] the Marina Del Rey area and [41:37] I smell. [41:38] Suddenly again, wafting burger in the air. And I screamed out, what is going on? You smell that burger? He's like, yeah. I can smell. Exactly. So-

[41:49] Oh, that's amazing. You would have recorded that if you'd had the chance. Exactly. [41:52] This episode of The Generalist Podcast is brought to you by our very own Generalist Plus, the premium newsletter that's redefining how investors and builders navigate the technological frontier. [42:04] Generalist Plus delivers a mini NBA tiering box. [42:07] at just a teeny fraction of the cost just 22 a month or 220 annually [42:14] So, what's included? [42:16] 1. [42:16] tactical interviews where elite founders and investors [42:19] reveal their actual strategies and decision frameworks. [42:23] Two. [42:24] comprehensive guides that distill hundreds of hours of research. [42:27] into actionable insights on investing and company building. [42:31] 3. An exclusive database of emerging startups poised for significant growth. [42:37] And finally, complete access. [42:40] to our archive of meticulously crafted case studies. [42:44] All of this comes wrapped in the distinctive storytelling [42:47] An incisive analysis [42:48] that readers have come to expect from the generalist. [42:52] We've designed Generalist Plus to level up your capabilities as an investor and operator [42:57] through knowledge that matters. [42:59] delivered with precision and depth. So join a community of strategic thinkers who are gaining an edge in understanding markets, technology, and business fundamentals by visiting thegeneralist.substack.com. [43:12] That's thegeneralist.substack.com. [43:16] The third topic is really, maybe not sci-fi, but certainly...

[43:23] comic books, which is sort of mutants, very in bio, which I think you told me about [43:28] maybe a couple of years ago at this point. And I remember when you first mentioned it, [43:32] It was like [43:33] one of those moments where I was like, wow, I just [43:37] I understand so little of what the future will look like and what people are... [43:42] are trying and experimenting with. So yeah, tell us about Variant Bio and what they're trying to do. [43:48] Well, it starts with... [43:50] That guy, I don't know if you can see, Professor X. Oh, yes, there we go. So, um... [43:57] I read the comic books growing up, I watched movies, I watched movies with my kids. And the basic idea was like, [44:05] Okay. [44:05] 8 billion people on earth. [44:06] Thank you. [44:07] A one in a billion chance of some crazy phenotype. [44:10] So it's some actual treat. [44:12] There should be [44:13] eight people that are walking around that instead of conjuring fire from their fingers or shooting lasers out of their eyes or levitating or going invisible or shape shifting or whatever is ridiculous and not real. [44:24] that they [44:24] In reality, [44:26] Only need two hours of sleep a night. [44:27] uh or have some crazy metabolism can eat fatty foods and not gain weight or can drink alcohol [44:32] and have a protective variant against liver disease or smoke and don't get lung cancer, or can ascend the heights of the Himalayas or the depths of the ocean and be able to hold their breath for long periods of time. [44:43] And so that was the founding thesis. [44:45] um usually when we have these crazy theses and we're creating a new company or trying to find one that exists [44:51] We share with everybody. We're never worried about somebody stealing our idea. And just like the thing with smell,

[44:59] one of my other founders of a neuro company, [45:03] had two colleagues that he had gotten his PhD with at Cold Spring Harbor. [45:09] And he said, "You gotta meet these two." And I did in a coffee shop in Tribeca. [45:13] And I told him the vision that I had and he said, this is literally all we ever wanted to do with our lives. [45:17] And so it's just sort of a perfect... [45:19] you know, [45:20] match. [45:21] We founded it. [45:22] Yeah, it was probably four years ago or thereabout. [45:25] And, uh... [45:27] I spent about six months recruiting a CEO [45:31] And we were able to get an incredible guy who's like this mensch on a mission, this guy, Andrew Farnham. [45:36] who is molecular buyer, undergrad, and then worked for Chris Hone at TCI, which is like a big hedge fund, but focused on a lot of his global philanthropy. Then went to the Gates Foundation where he became the investor for them, putting out about 2 billion a year. [45:48] And so he was like me, a venture capitalist. [45:52] And he's like, this is incredible. And he wanted to join as CEO. [45:56] It was just, again, another match made in heaven. [45:59] So yeah, that was the founding thesis. [46:01] You had one member of the team that was extraordinarily compassionate, [46:06] great moral compass, really thinking about [46:09] indigenous populations around the world and how you set up benefit sharing programs so that [46:13] These people could benefit not just from the science and technology, but financially or equity or healthcare that might come to them. [46:21] We had somebody else that was a combination of population genetics and computational bio, [46:27] And so you had this great setup of people that were saying, look,

[46:29] Most of the people that were sequenced [46:31] in genetics, 23andMe or GenentechRoche were [46:36] pale, male, stale, white European, white people. [46:40] But most of the really interesting genetics and the diversity... [46:43] is in all other parts of the world, in some cases, [46:45] places that are too poor for farmer or biotech, [46:48] or even US academia that I sometimes care about. [46:51] and so [46:52] You also have... [46:54] "cosanguineous populations," "cosanguineous" means blood-related, so people that might be [46:59] intermarrying through cousins or distant cousins, [47:02] They're generally called genetic island populations, not because they physically are on an island, although in some cases they are. [47:08] but because they're very closely interrelated. [47:11] In those populations, you have a higher population. [47:14] probability of a monogenic condition. So a single gene [47:18] It's a protein which might be the trait [47:20] that is expressed in the phenotype that gives you this sort of, you know, superpower protective variant or [47:26] And, um, [47:27] And so that became the founding thesis for the company and we financed them and [47:30] I think we did... [47:33] $15 million series A and then... [47:37] they would go on and we would continue to invest about 150 million in the first two years. And now they've got partnerships all over the world with... [47:43] the Maoris in New Zealand and Pakistan and Faroe Islands and Ethiopia and Uganda [47:49] And it's wild. And they have two main hits. [47:54] that are now progressing to the clinic, [47:56] Interestingly focused on liver and kidney.

[48:00] And, uh, [48:01] They keep scouting really interesting outlier people. [48:06] in outlier parts of the world with outlier traits. [48:08] And, [48:10] these small populations are going to be the source of [48:13] Evolved [48:15] natural [48:17] phenotypes embedded in their genes that become druggable targets for the rest of us. [48:23] Sci-fi to sci-fact, it started with this crazy thesis and in X-Men and Professor X finding mutants in fiction. And it ended with us finding real life mutants, although they don't like when I call them that. [48:36] in the real world and helping [48:38] to sort of flip, [48:39] The idea of... [48:41] genetics on its head instead of doing large population and finding [48:44] the variant, you're going to these really unique populations and finding the variants. [48:48] I mean, it's such a wild and fascinating idea. [48:51] tangibly [48:53] Is the way that it works like... [48:54] Hey, we... [48:55] Go to [48:57] Vanuatu, Uganda, Ecuador, wherever it is, [49:01] And we're taking cheek swabs, we're taking hair samples, we're taking blood. Like, what are the sort of right inputs to... [49:07] to get... [49:08] these, you know, this genetic information and surface, [49:11] I can't remember what you called it. Monogenetic? Monogenetic. [49:14] monogenic uh [49:16] Yeah, because sometimes you might have a trade, but it's a confluence of, you know, [49:20] epigenetics and five different pathways, but you're really trying to find like one thing that's a druggable target. But yes, they do set up [49:29] in these partnerships, in some cases it's with local tribal leaders, in some cases it's with

[49:35] academic institutions that are local that, you know, sort of help take care of and study their local populations. [49:41] In some cases, it's... [49:44] nonprofits, but [49:45] Yeah, it is sample collection, which could be blood or cheek swabs or other means of genetic collection. [49:52] And all of these people, [49:54] benefit in some way through these benefit sharing programs that they probably spend six months [49:57] from the company's inception to really, you know, pun intended to have in their DNA [50:02] this moral compass that [50:04] so many of these indigenous populations through history were basically exploited. [50:09] And instead they should benefit and they should share in those benefits. [50:13] And so some of it is information, some of it is healthcare, some of it is diagnostic, some of it is financial. [50:18] But all of these groups are going to have positive experiences that could be transformative for their communities. [50:24] Is there ever a version of it that makes sense where you almost do index on these, the individual more where you say, hey, actually, we know very well that [50:35] for instance, Michael Phelps is a genetic anomaly when it comes to swimming, we should actually just be like, [50:42] trying to get as much deep data on him and, you know, see if we can find others like him. Like, is that a viable approach or does it really require on more of that sort of [50:51] population level to get interesting insights? You can. You need to disambiguate whether it really is like singular genetics, but [51:01] Things like [51:02] Cholesterol drugs really came from PCSK9.

[51:05] genetic condition where you know people have these levels uh [51:09] of high LDL or low LDL. And that became sort of the origin of our modern statins as targets. [51:17] but it's really finding these outliers. But, [51:19] Mayo Clinic, I believe, was doing some of these hyper- [51:23] athletes and you know [51:25] Like, [51:26] I don't know if they did Michael Phelps, but looking at like Usain Bolt and some of these other like star performers. [51:31] There's another group that was looking at [51:33] Leonardo da Vinci and [51:36] They had exclusive access to some of the physical [51:40] um manuscripts and artwork and whatever and there was like dna on that so they were trying to see like is there [51:45] some correlation of hyper creativity. [51:48] But those have been sort of punctuated, you know, point off things. And this team decided let's really... [51:52] focus on the outliers in these outlier places. [51:55] But for sure, you know, there's, as somebody said, you know, [51:59] the cure in the code [52:00] There's a lot of interesting genetics out there. [52:04] You mentioned that they have these two hits sort of around liver and kidney. [52:07] When you say they have these hits, what is the impact that might come from [52:12] from these first two. [52:14] One has to do with... [52:16] something related to fibrosis. But they're sort of conditions that afflict [52:21] large numbers of people in the Western world and in Europe [52:24] And these populations have a protective genetic variant for a variety of reasons. [52:30] And you want to sort of understand, like, why did they evolve that capability? What was it in their ancestral environment or in that particular region?

[52:39] that lend itself to that. [52:42] Yeah, it's, I mean, there's another one [52:44] which has not become part of the clinical programs, but [52:48] in South America, in part because of the, um, [52:52] Precipitous temperature drops. [52:54] in this one particular region, [52:56] there's like a family of like 19 people [52:59] And they all have this like heat shock protein that raises their basal metabolic rate when they're sleeping at night to sort of warm them. [53:05] And that's something that just evolved over generations in this particular region. [53:09] But what one could imagine is that that could be a druggable target [53:14] That is sort of like instead of a GLP-1 that's reducing your desire for food, [53:19] and sort of an agonist, it would raise your metabolism [53:24] and your temperature and while you're sleeping, um, [53:27] burn fat, you know, which would [53:30] Also, it seemed like it's out of sci-fi, so... [53:32] yeah, it's super cool, but, uh, you know, it's gotta be rooted in real science and, [53:38] paired with good ethics and good leadership. And we've been very grateful to assemble a team and variant bio that [53:43] is doing all those things and really proud. [53:46] Fascinating. Well, [53:47] In addition to being sort of a [53:50] interpreter of science fiction, I always think you are [53:53] such an interesting and gifted reader of, you know, the macro environment, you publish quarterly letters for Luxe. [54:01] And they're always like, [54:02] both extremely entertaining and well-written, and I always find [54:06] caused me to think of things that I might not have otherwise...

[54:09] come across, [54:11] How have you started to build [54:14] Or how have you trained your ability to understand macro and [54:18] what are the inputs into... [54:21] your view of the world. [54:23] The inputs start with an [54:25] whether innate or learned, but very competitive, um, [54:29] you know, sort of [54:31] intellectual framework. So I want to understand what other people who I think are super smart understand. And when I don't know something, I'm highly motivated to reduce my ignorance and learn. [54:42] you know, on the macro piece, [54:45] In venture capital, everybody [54:48] Thanks. [54:49] we think we're all super smart. [54:52] And we're backing really intelligent people who want to be around intelligent people. [54:57] I say the average intellect of really high performing VCs is [55:01] is pretty high and they're very intellectually competitive. [55:04] But [55:05] We're not as smart as people think. And oftentimes it's just the cost of capital. And so when the cost of capital is low and rates are low, everybody thinks and feels like they're geniuses when you have an up market and go, my feces are playing out really well. And then, you know, nobody's stupid as everybody thinks when suddenly your companies are on working or you're losing money because. [55:23] interest rates have risen and the cost of capital is up and your company valuations are down and you've [55:28] Destroyed capital. [55:29] And so I've always said that ignorance of the macro is no virtue. [55:33] End. [55:34] I've used the analogy that [55:36] If you think about what we do, we're trying to find the entrepreneur who started a company, is commercializing technology, ideally a breakthrough technology.

[55:44] And they're going to build a team. And we're trying to pick the best entrepreneur in the best sector and [55:50] and the best technology. [55:52] Um, [55:52] And we like to do it in areas where there aren't 50 competitors but five. [55:57] The analogy is like trying to pick the best dish on a menu is [56:01] in the best restaurant, having picked the best neighborhood, in the best city, and you've done all this micro selection, [56:07] and then you're about to take a bite of this delicious morsel of food, [56:10] And then, [56:11] Godzilla comes and just steps on you. [56:14] So ignorance of the macro is no virtue. [56:18] And being aware of these big exogenous forces, whether it's [56:23] you know, global flows of capital, interest rates, indebtedness, [56:28] low probability, high magnitude prospects of war, [56:31] Um... [56:34] trade, [56:35] agreements. There's all these giant forces that people don't appreciate. And I think [56:41] I'm a voracious reader of [56:44] 30 to 40 plus newspapers every day around the world. I'm flipping through when I say reading, I'm like reading headlines. You're doing Ozymandias, sort of scanning the global culture. Yes. Yeah. And really looking for [56:59] what are the things on like [57:01] C-22 or D-7 that people are not [57:05] looking at his front page news and [57:07] And the anticipation, which is no different, honestly, no different, [57:11] from what we do on a daily basis, trying to find the thing that other people haven't found.

[57:15] It would be no different if I was an A&R rep in the music world. [57:19] the kind of music I've always been personally drawn to are things that are just like not mainstream music. [57:24] I happen to like it because they're [57:26] more discordant and tonal and emotionally resonant with my own [57:30] childhood background and whatnot, whereas my wife loves [57:33] pop music and, you know, [57:35] Pink and Sia and Gaga and Madonna and all that kind of stuff. And I like weird stuff. [57:40] But part of the reason that I liked weird stuff growing up was [57:43] I had an ear for this stuff, but [57:45] There's social currency that you get [57:48] by discovering the band before everybody else has. [57:50] And so I'm not [57:52] reading, you know, [57:54] when I was younger, like I actually would read like Rolling Stone and Spin and all the Music Macs, [57:59] But I was looking in the back page of the Village Voice in New York, [58:03] and seeing who was playing at CBGB's and [58:05] and arcade and academy and [58:09] Coney Island High and Lemores and like, [58:12] And then you find this band that's [58:15] nobody's paying attention to, [58:17] And then 10 years later, they're headlining arenas, and then you're bemoaning that they sold out or whatever. [58:23] It's the same thing. [58:24] if you were in real estate, trying to find the neighborhood, [58:28] And there might be early signals about where the artists are going or where the coffee shops are going or, you know, that's not yet mainstream. There's no Starbucks, but it's like it's going to be the hot new neighborhood or in fashion or whatever. [58:38] in movies, sort of what 824 does in finding the cool [58:44] cutting edge, cerebral, unique, not the Michael Bay,

[58:49] explosive blockbuster action movie. [58:52] And it's the epitome of what we do at Lux. We're trying to find the scientist, the engineer, the entrepreneur that other people haven't yet discovered in a sector that people don't yet appreciate. [59:01] And so, [59:02] It's the same thing for macro of trying to find these low probability, low [59:06] high magnitude events, trying to find [59:10] Weak signals that eventually are going to be front page news. [59:13] And it's led us to a lot of theses [59:17] that are speculative because we don't know. But I would say there's a five year psychological bias and everybody wants to be invested today where they should have been five years ago. And so my job is to anticipate in three, four, five years, [59:27] What are the things that people are gonna wanna be invested in and to be invested in them today? [59:32] So yeah, I find like... [59:35] being curious and [59:37] attuned into macro [59:40] forces [59:41] can lead you to better micro decisions. [59:44] Well, one of the macro themes and... [59:47] topics from some recent quarterly letters has been sort of [59:51] Great power conflict, US versus China. [59:54] As you look ahead over the next... [59:57] five years... [59:58] Where do you see the most in? [1:00:00] important technologies being. I know that you've, I think it was in your most recent letter or maybe the one before, [1:00:05] You mentioned that China is leading in sort of 37 of the 44 key fields. [1:00:11] If we were to condense it down even further or perhaps sort of [1:00:15] Pick super. [1:00:16] uh, [1:00:17] super themes within those fields like [1:00:19] What are the most important places to own?

[1:00:21] Increasingly, the most important space to own, which is not a deeply technical one, is the sort of [1:00:28] just information sphere, just information operations, because [1:00:31] the most dangerous weapon that I think exists today [1:00:35] is the thing that can sort of influence and bend and shape and manipulate the will of the people. [1:00:40] and the will of the people to fight with each other [1:00:42] create divisive civil society. [1:00:45] the will of the people to want to support. [1:00:47] allies or military action. [1:00:51] Um, [1:00:52] cultural institutions, [1:00:54] And we see that playing out and some of it is organic, but... [1:00:58] You know, if I was a foreign adversary and I had... [1:01:02] a democracy that I was... [1:01:06] concerned was thwarting my ambitions or interfering with my personal interests. [1:01:10] then I would use that democracy and freedom of speech and [1:01:15] the vectors and I would attack it from within. [1:01:18] And I, um, [1:01:20] I think that Russia did this quite well, and some of those tactics have been revealed. [1:01:24] in the 80s with their propaganda. And we do it too, but I would argue for more benevolent [1:01:28] purposes. [1:01:30] of trying to promote human rights and freedom and democracy. And not everybody wants that. And many cultures can't actually handle that. And they shouldn't have the kind of freedom and democracy that we have. It weirdly would not be good for the world, but, but here it is. And, [1:01:44] I'm a patriotic American and I think that [1:01:47] foreign forces that would foment dissent [1:01:50] and use our digital tools and other things to...

[1:01:55] divide us and basically identify the seams where they can rip us apart, whether it's [1:02:00] Black versus white, racial relations, whether it's male versus female and gender relations, whether it's rich versus poor, left versus right, political, Republican versus Democrat. [1:02:12] You know, any area... [1:02:14] where I could, as a foreign adversary, spot... [1:02:17] an opportunity for [1:02:19] Civil war between people. [1:02:22] would be something that I would try to really amplify. And we see that. [1:02:26] So that to me is actually the vector [1:02:30] And it may be that there are technological tools that help. You know, Community Notes is a small little one in Twitter, but I think it's being adopted by other tech companies. And I think it's a great virtuous thing. [1:02:40] that Elon, you know, sort of pioneered and the team at Twitter has pioneered and meta will adopt. But [1:02:46] you need more some of that is just basic education so that people can be [1:02:51] sort of immunized from foreign information operations. So that's a less technical sci-fi, sci-tech, you know, kind of- Yeah, but the soft power and the social networks. It's a big one. So that to me is the vector where [1:03:05] Even if... [1:03:07] People were just educated to understand. [1:03:09] There are forces that want you to hate thy neighbor. [1:03:14] and we need to be a United States. I think that's important thing. So, um, [1:03:18] I will say the two areas that I don't think are important are, um, [1:03:21] you know, quantum computing in 5G, which is in most government, you know, reports is like we need to beat

[1:03:27] China needs to be ahead on quantum [1:03:29] Yeah. [1:03:29] Yeah, it's quantum because [1:03:31] Nobody really understands it and people... [1:03:34] project onto it these crazy capabilities of unbreakable cryptographic messages and the ability to do molecular modeling and discover drugs. And, and it just feels like, [1:03:45] you know, this futuristic thing, but I'm super skeptical about almost everything in quantum, not to say that there won't eventually be some breakthrough that is meaningful, but many of those things that people... [1:03:54] prophecy, you know, [1:03:56] like exist, but not because of quantum computing, but because of [1:03:59] GPUs and cutting edge algorithms and AI and, and nobody that was promoting quantum, you know, played a role in that or really saw it coming. So I do think space is a contested area. I think that's really important geopolitically, the ability to launch the ability to deny launch the ability to sabotage or thwart the orbit of certain assets that are in low Earth orbit or geostationary orbit, Leo or geo. [1:04:26] is going to be important. And that's everything from comms to imagery, to communication, to experiments that are being done up in space. [1:04:34] When China blew up a weather satellite, [1:04:37] to deorbit it, [1:04:39] They weren't really deorbiting weather satellite. They were demonstrating capability and flexing. [1:04:43] And so [1:04:45] I think that's important. [1:04:47] I think people that are able to develop [1:04:51] the [1:04:52] automation for scientific [1:04:55] experimentation and its advance are going to be really advantaged.

[1:04:59] And so this is a combination of robotics, automation, chemistry, [1:05:03] material science and AI. [1:05:06] I do see a near future where [1:05:09] Robots will be performing science 24/7. They might not look like humanoid robots, but it'll be with handlers and cell sorting and all the scientific instrumentation today that requires a person in a white lab coat and a wet bench to [1:05:22] Take. [1:05:23] a beaker and put it into a test tube and put it into a centrifuge and then run some assay and pipette things. And increasingly, all of those things are going to become automated. [1:05:34] And what's interesting is in the same way that you can [1:05:38] Imagine a [1:05:40] musician. [1:05:41] like 20 years ago. [1:05:42] If they wanted to make [1:05:44] a song or write an album, they would go with their colleagues and their instruments, their physical instruments, and they would go to a recording studio and, um, [1:05:53] and then put it down on a track or ultimately digital and whatever. Over time, all those instruments became virtualized. [1:05:59] On your laptop, you can use logic or Pro Tools or GarageBand or any other number. [1:06:05] of... [1:06:06] software to basically write music and you can do it collaboratively and you don't have to go into the studio. You don't even have to play an instrument. And so I think that the same thing is going to happen in science. You don't need to know how to operate the centrifuge or the physical scientific instruments. You can... [1:06:21] effectively on an iPad on the beach in the Bahamas, [1:06:25] dial up and experiment. [1:06:26] then it will run in cloud labs. And those cloud labs will be run by robots.

[1:06:31] with high fidelity. [1:06:33] which presents two interesting things. One, you will help to... [1:06:36] solve the reproducibility crisis in science. That's the upside. The downside is so many great breakthroughs in science often happen because [1:06:43] Somebody was like, huh, that's funny. You know, there was, you know, the petri dish left on the window, penicillin. [1:06:49] you know, the discovery of [1:06:50] galvanizing rubber and all these things were sort of like happy accidents. [1:06:55] You want to introduce probably some stochastic random processes that allow for some screw-ups in scientific process. So that's not perfectly precise because you need happy errors. But... [1:07:05] when those experiments run, [1:07:07] And maybe it's an eight hour experiment. So you go to sleep and you run it and you wake up and it says, hey, here's the results. [1:07:13] They're quantified. [1:07:14] We can write a paper for you and explain materials and methods and hypothesis and observations and conclusion. But we also noticed that the conclusion that we just came up with, the robots, the system, the AI... [1:07:25] There's some interesting paper from 1972 and one from 1996. These might be Spiris correlations, but would you like to rerun the experiment changing these two variables? And then all you do is click yes, and then it goes and runs it. [1:07:37] I say this because to your question of like, what are the technologies that matter that the companies? [1:07:42] the academic institutions and ultimately the countries, [1:07:45] that get this productivity gained in science, [1:07:48] are going to lead the next half century or more. [1:07:51] because it's going to be truly like a secret weapon to generating knowledge and knowledge being power and [1:07:57] that kind of power being weaponized for defense applications or for

[1:08:01] company advantage. [1:08:03] That's the kind of thing where [1:08:05] It is in the US interest. [1:08:07] to see those kinds of companies here so that the market cap and the flow of capital here, which further reduces the [1:08:13] cost of capital and attracts talent and money globally, which allows us to have the world's largest tax base for military, like all of that is really important. So that's a vector of like automation [1:08:25] of science coupled with ai and generating [1:08:28] 24/7 productivity and [1:08:30] in knowledge production through scientific experimentation, I think, is going to be really profound. [1:08:36] Aerospace and defense is huge. [1:08:37] Um, [1:08:39] you know we've had a relatively slow sclerotic bureaucratic [1:08:43] defense base that has shrunk from [1:08:45] 50 primes to 5? [1:08:47] And now we have funded [1:08:50] From day one, companies like Anderil, Sail Drone, Hadrian, Varda, Impulse Space, Nominal, that are becoming like the next-gen leaders and are now coveted. [1:09:00] And... [1:09:01] you will see [1:09:02] Neo Primes, [1:09:04] next-gen defense primes that are not only giving the US advantage, [1:09:10] And it is a pendulum swing away. [1:09:13] from [1:09:14] the [1:09:15] military-industrial complex, which was [1:09:18] you know, pejoratively spoken of and we were warned about. [1:09:24] by Eisenhower and, and, and, [1:09:26] You have in contrast China's military civil fusion where every company works. [1:09:31] with the government and the military and the Chinese Communist Party. And so

[1:09:35] their coordination [1:09:36] you know, something short of a democracy. [1:09:39] is really powerful and we have to compete. So I'm really proud of these [1:09:43] young women and men who not only serve our country, but are motivated in the calling to work on defense tech and [1:09:50] So I think that's a really important area too. [1:09:53] And then the last one I would say is just compute infrastructure. [1:09:56] It's great that NVIDIA is a US company. [1:09:58] Um, [1:10:00] you know, probably the smartest thing for [1:10:01] China? [1:10:02] to avoid kinetic war, which I believe is a low probability if the U.S. over TSMC in Taiwan [1:10:09] is what you're seeing with TSMC saying, hey, we're going to build $100 billion in the US, and that will take time. But the smartest strategy for China is [1:10:17] is to allow the US and the world's industrial base to hedge against Taiwan. [1:10:24] just so it loses... [1:10:26] relative import [1:10:27] in the national interest of Americans because [1:10:30] Imagine Trump saying, you know, we're going to go to war for Taiwan. [1:10:33] They... [1:10:34] we actually have redundancy in our semiconductors and we don't really need to do this, but we're doing it for fighting democracy. You're not a whole. [1:10:40] slew of people who may already be influenced by fomented foreign information operations. [1:10:46] To say, why is that in our strategic interest? Why do we care so much? [1:10:51] Why are we going to spill... [1:10:53] blood and treasure [1:10:54] you know, for Taiwan. [1:10:56] If I was China, that's what I would do. [1:10:58] It sounds like you think that some of these information... [1:11:01] Uh... [1:11:02] agendas or initiatives might be like much larger than we're currently doing.

[1:11:08] appreciating. Is that a fair [1:11:09] Appraisal? [1:11:10] well, much larger than many people appreciate, but there are many that are fighting these. And so, you know, the easy vector [1:11:17] which [1:11:18] A former KGB guy was on a talk show, I don't know, 15, 20 years ago or something. You can find it on Twitter. It's a probably 18-minute segment or something. But he's like, here's how... [1:11:27] we attack you. [1:11:29] Like he gives the playbook. [1:11:31] And we start with the universities. [1:11:34] because you have young people who are already [1:11:36] rebelling against both their parents and authority. [1:11:40] And they're also open and they're very social and [1:11:43] So if you can get [1:11:44] like the attractive women. [1:11:46] you know, then men want to be around the attractive women. And if the women are like, I really care about this issue. And the men are like, me, I do too. [1:11:52] I love this issue. No, and it's really... [1:11:56] a very [1:11:58] honestly admirable understanding of human nature and how to manipulate it but [1:12:03] There are useful idiots that were used... [1:12:05] during the Cold War. [1:12:06] Um, [1:12:07] There are useful ideas that are used now in a variety of conflicts, whether it's Russia, Ukraine, Israel, Gaza. [1:12:14] And, um, [1:12:16] There's like very clear [1:12:18] moral line, I think, in these issues between like what is right and wrong and who the aggressor is, who's the victim and [1:12:23] And these things can very easily get conflated. And a combination of in some of these things, [1:12:28] fast as being outnumbered and [1:12:30] just being really well organized. [1:12:33] on the vectors of attack. But yes, I believe that many US academic institutions have

[1:12:38] become vectors for this, number one, many non-profits, number two, [1:12:42] many industrial associations, number three. [1:12:46] But they're all sort of... [1:12:48] Again, if you put yourself in the shoes of an adversary of any of crink, China, Russia, Iran, North Korea, [1:12:53] easy to infiltrate and you're not doing it with like [1:12:57] you know, locals from [1:12:58] Russia or China, you're finding the ways to appeal to the interests. [1:13:04] of [1:13:05] 17, 18, 19, 20 year olds, [1:13:08] and, um, and create movements and, um, [1:13:12] So yeah, I think that that's [1:13:16] uh, [1:13:16] pretty salient attack vector. And then also [1:13:19] in some cases people have overtly talked about, [1:13:24] You know, sort of what Leo Leonard did for an issue that our family and my wife [1:13:28] deeply cares about, which is women's rights, [1:13:30] in overturning Roe v Wade, [1:13:33] He was able to not go on Twitter and Fox News and write op-eds and just quietly and insidiously [1:13:42] figured out [1:13:43] the law schools and I get them clerkships and the judges and like, and just basically before anybody felt what was going on, like it just, and you're like, Oh my God, like this has been a 15 year period. [1:13:55] Bye. [1:13:56] last game. And so, [1:13:57] Yeah. [1:13:58] we mentioned briefly in sort of how to build maybe this uh [1:14:03] this innovation machine of AI and chemistry and cloud labs, the importance of talent. And I know that's something that

[1:14:10] is top of your mind these days and just [1:14:14] how close the talent sort of war is with china around you know key topics like [1:14:19] AI researchers, for example, if you were sort of [1:14:22] dropped into the White House today or, you know, whatever position would give you the most power. [1:14:27] to [1:14:28] enact a useful initiative [1:14:30] What would you be doing to try and make sure America does win the talent war for these key [1:14:36] fields. [1:14:37] Well, first of all, you're right. And just to put some numbers behind the comment, like, [1:14:42] I think [1:14:43] 38% [1:14:46] of researchers in the US that are focused on AI are from China, outnumbering [1:14:51] our own domestic native researchers with, you know, their 37%. [1:14:56] We used to account for about [1:14:58] 22, 23, [1:15:00] 25% of [1:15:02] uh the share of foreign phd researchers and i think that's now down to like [1:15:07] 13 to 15%. [1:15:09] Um... [1:15:10] So, [1:15:11] China has orchestrated a slew of [1:15:14] very smart programs to attract not only [1:15:18] you know, Chinese [1:15:19] foreign you know meaning like Chinese Americans to come back to China and [1:15:23] Um... [1:15:24] But... [1:15:26] you know, just to attract global talent. It's something that benefited the US immensely. [1:15:31] Anybody that has seen Hamilton or read American history, [1:15:34] understands the power of immigrants and how important they are. [1:15:37] So we should be effortfully seeking to have a global brain drain

[1:15:41] And obviously you want the best and the brightest, and you want them working on really smart stuff, and that's going to be more of the hard sciences than on the soft sciences. [1:15:48] In fact, most of the university problems that people are seeing now that are creating dissent are not coming from the chemistry or biology or physics or math or computer science departments are coming from like the. [1:15:57] sociology and gender studies and these kinds of things that [1:16:01] don't really, I think, may help [1:16:03] to promote and advance human rights in some cases, but they're not advancing the [1:16:07] the canon of human knowledge in the same kind of way that people can compound and create wealth and reduce human suffering. [1:16:13] by developing technologies and companies and distributing those widely to the masses. So that's the thing that matters. [1:16:19] you know, you have, [1:16:21] a very weird moment right now where the Trump administration is punishing [1:16:25] many colleges for failing to act and protect their students, particularly Jewish students, [1:16:30] And the result is hundreds of millions of dollars of [1:16:32] federal funding at say Columbia, uh, [1:16:35] the NIH and researchers who are recipients of those grants [1:16:39] are going to [1:16:40] shut down or lose their jobs and [1:16:42] And so it's going to have a very weird ripple effect. [1:16:45] And I can sort of agree with both things. And then I think that these universities have had failed leadership. [1:16:49] And, um, [1:16:50] And I think that there was almost an onus of responsibility and anticipation for some of these other departments in physics, chemistry, et cetera. [1:16:56] to say like, guys, what are you doing? [1:16:58] "This is a research institution, "stop allowing this to be politicized." [1:17:01] And people like Vanderbilt did a really good job where they said, [1:17:05] Free speech, yes, but intimidation and violence and fomenting this kind of stuff, no. [1:17:08] And no, we're not going to divest, you know, from Israel or oil or anything that

[1:17:13] We are here to grow the endowment so that we can provide scholarships and research institutions. And we're not going to take political stances on issues. So I think [1:17:21] Universities have failed, but my message would be, we need to double down or triple down in many of these like hard basic sciences, [1:17:27] And we should be attracting foreigners [1:17:30] to come here so that just like we saw in World War II, [1:17:33] We want Einstein here, not in Germany. [1:17:35] you know you weren't the best and the brightest that are going to develop future capabilities that give the country an advantage [1:17:40] to be on these shores and staying here. [1:17:42] So [1:17:43] You come here, you get a PhD, [1:17:45] and you can adequately show that you're not anti-American, as some of these people who have been given student visas are, you should get a visa and your family should be free to come, too. [1:17:55] Um, [1:17:56] So that, you know, they're not held hostage as China does in some cases where there might be a... [1:18:01] Chinese researcher who comes here, but you know, they're [1:18:04] there's a lot of leverage held over them because their parents are back there. Same thing with Iran. [1:18:08] there are brilliant Iranians who [1:18:10] would be the greatest peace dividend the world has seen to see a free [1:18:14] Iran but [1:18:15] that come here and [1:18:17] They might have parents that are professors in universities and other things that have nothing to do with the [1:18:21] regime, but they have to be very careful. So being able to give people the [1:18:26] the sort of... [1:18:27] you know, amnesty and safe cover here. [1:18:30] that are our elite people. And this was a debate, you know, that, [1:18:34] happen. [1:18:35] right when Trump was elected with Elon and Sriram and it's wild to see like the far right, you know, explode over this, but... [1:18:41] think it's really important we should have a really robust immigration program

[1:18:45] around the most technical cutting edge areas. [1:18:47] and attracting people to stay here. [1:18:50] Well, we're in hearty agreement on that point. In our final few minutes, we always like to wrap up with a few sort of [1:18:58] more [1:18:58] abstract philosophical questions. So, [1:19:02] maybe just a couple here, [1:19:04] What experiment would you run if you had unlimited resources and no operational constraints? [1:19:12] I'll give you two sort of geopolitical ones here. Uh, [1:19:15] Like if I was SecDef or Secretary of State for the day, and I had unlimited budget, [1:19:19] I would very quickly shore up the Western hemisphere, like specifically [1:19:23] you know, sort of, [1:19:24] pan Pax Americana. [1:19:27] We treat so much of Central and South America like [1:19:30] places we import coffee and bananas and go on vacation to, but [1:19:35] Again, China, CCP has infiltrated a lot of these places from Nicaragua to Honduras and [1:19:41] even elements of Mexico and Brazil and you know, [1:19:44] World War III came pretty close when [1:19:47] Russia and Cuba and [1:19:49] Cuban Missile Crisis, and this is going to happen again. [1:19:53] And so I think that there's an opportunity here to shore up. You've got a billion people here. [1:19:57] You have power projection as the U.S. does in both the Atlantic and the Pacific countries. [1:20:00] You have rich natural resources. Almost everybody speaks English and Spanish, safe for Portuguese in Brazil. [1:20:07] But I would really make that a proactive initiative [1:20:11] and figure out new trade agreements and resource and humanitarian support

[1:20:16] and read. [1:20:17] reintegrate. [1:20:18] the hemisphere into [1:20:20] the US sphere of interest. So that would be a big initiative and [1:20:23] And I would put a lot of money and a lot of resource and talent into that. [1:20:27] Because it's our backyard, and I think there's a lot of future threats that we'll face for that. And then the second area geopolitically that I would also – [1:20:35] put a lot of money into because I think it's going to be the next [1:20:37] major disaster. [1:20:39] And it's interesting because I've documented this on Twitter going back six plus years. [1:20:42] Is this a hail in Maghreb? [1:20:44] And so the sort of region latitudinally [1:20:47] Um, [1:20:49] in, uh, [1:20:50] North and Central North Africa. [1:20:54] you have a mix of [1:20:56] filing... [1:20:57] extremists, religious extremists and Islamists who are coming from Syria, Iraq, Afghanistan. You have a lot of young men without purpose that are being recruited to [1:21:07] the equivalence of ISIS and Al-Qaeda on the continent. You have Russian mercenaries who are [1:21:12] extracting resources and or getting paid to help overthrow [1:21:16] Western colonial interests that were once there in Mali and Chad and Niger and Sudan and elsewhere. [1:21:23] And then you have China infrastructure that's coming up as well. [1:21:26] AFRICOM, I think, is an important military organization. [1:21:29] command for us. It's, you know, we start even based out of Stuttgart, Germany. [1:21:33] But [1:21:34] France was kicked out of Molly. [1:21:36] You know, U.S. forces have been kicked out of some of those countries. [1:21:40] And we need to do partner and alliance building and training and win hearts and minds of people. [1:21:45] Because you are one terror of end away.

[1:21:48] being projected into Europe. [1:21:50] Uh, and then suddenly that entire region becomes like our next Afghanistan, uh, [1:21:54] And again, if you're China, Russia, Iran, North Korea, nothing more that you would love [1:21:59] and see forces and money [1:22:01] and weapon systems diverted [1:22:05] you know, from anything that might thwart your own ambitions and are suddenly like ensconced on the quote unquote dark continent. [1:22:11] And that's against the backdrop where you have brilliant [1:22:13] young generation of entrepreneurs who went to HBS and Stanford and MIT and [1:22:18] that come from Kenya and Ghana and [1:22:21] South Africa and, and, uh, [1:22:23] Nigerian and I hope that [1:22:27] due attention is there. But those are two areas that if I had unlimited funds, [1:22:30] not so much an experiment, [1:22:33] But, um... [1:22:35] like a hardcore [1:22:37] five, 10-year initiative of sustained commitment. [1:22:40] I think is important for stabilizing the world. [1:22:44] because there are actors that want those regions [1:22:47] in the US and our interest to be destabilized. [1:22:50] So... [1:22:51] Fascinating. [1:22:52] Final question. [1:22:55] If you were to come up with a brief curriculum for someone... [1:22:59] to read a few books that you think would prepare someone well for the future of these technologies, of these conflicts. [1:23:06] Could be fiction, could be comics, could be nonfiction. What would make the sort of short list for you? [1:23:12] It's interesting because in my day job, the one through line... [1:23:15] is human nature. [1:23:17] because the players and the stages and the costumes change. But

[1:23:22] There's like 20... [1:23:23] Narrative. [1:23:25] of [1:23:26] humans and conflict and, uh, [1:23:29] from Shakespeare till modernity, they're pretty constant. [1:23:32] And so I would say that technologies change and businesses change and markets change and [1:23:37] cost capital changes and the company names changes and [1:23:40] conventions and culture change, but human nature is a constant. [1:23:43] Greed, fear, avarice... [1:23:45] petty jealousies, alliances, [1:23:48] revenge [1:23:49] chips on your shoulder, all of that is just a car. So so I think being really well versed [1:23:55] in these timeless human stories is really important. So I would, I would read Shakespeare. I would read, um, [1:24:02] the Victorian literature, [1:24:05] that sort of details and dense, beautiful prose [1:24:09] human nature because [1:24:11] These stories just keep repeating with different styles. So that would be one. [1:24:15] I think [1:24:17] you know, [1:24:18] Poor Charlie's Almanac, Seeking Wisdom from Darwin to Munger. I think that he, Charlie Munger, Warren Buffett's partner, [1:24:25] was just a great erudite, lifelong learner that really tried to reach into other people's fields and take some of the best ideas. [1:24:33] And, um, [1:24:35] I think the most interesting people that I know do that. [1:24:38] So, [1:24:39] reading the speeches, [1:24:41] And [1:24:42] Mental Models and those books I think are [1:24:45] sort of the next thing because they touch on [1:24:48] physics and chemistry and beyond just human psychology. [1:24:52] For technology itself, I do think science fiction is the best thing to sort of

[1:24:56] serve as our [1:24:58] present [1:24:59] speculations about what the near future will or could or should look like. [1:25:03] And then it often inspires people to say, oh, no, no, I don't want it to look like that. I want to go this way. Yes, like I want that to be real. And they dedicate their life to it. [1:25:11] And so... [1:25:13] You know, even now, for example, [1:25:14] I'm on the side that [1:25:16] robots are going to be a huge field, but I'm sort of more bearish on humanoid robots, and I'm very booked on broad robots. And why? Because [1:25:24] from Darwin, like, Endless Forms Most Beautiful, and [1:25:28] you know, sort of the cantina scene in Star Wars, even though they're [1:25:30] droids weren't really allowed in the cantina, just like the diversity [1:25:33] of these weird creatures [1:25:35] to me, is what [1:25:36] robots should look like. They shouldn't be two arms and two legs like, you know, Elon is doing with Optimus or other people are doing. [1:25:42] They should have like six arms and [1:25:44] And they should come into a room and do something. And people are like, holy crap, how did you do that? Yes. So, yeah, I would read sci-fi. I would watch sci-fi. [1:25:55] And, uh, [1:25:57] And you know, like Star Trek is timeless because it has great moral lessons and [1:26:01] and great sort of technological prognostications [1:26:06] Asimov, [1:26:08] uh, [1:26:09] You know, he's been sort of canceled recently. [1:26:12] because of behavior, but Neil Gaiman, you know, sort of at the cusp of both sci-fi and fantasy, [1:26:17] and [1:26:18] Terry Pritchard [1:26:20] Neil Stevenson, which is just a beautiful mix of both history and future. [1:26:26] I think all those things can be super inspiring.

[1:26:28] Yeah. [1:26:30] Amazing. Well, there are a few things I enjoy chatting about more than fiction and technology. And this was such an amazing blend of that with a... [1:26:39] you know, nice dash of global politics. And yeah, I can't thank you enough for your time. I really, really enjoyed it. [1:26:45] Great to be with you. Love all that you put out into the world. So thanks for having me. [1:26:49] Thanks so much, Josh. [1:27:02] Ratings and reviews help others discover these discussions, so if you enjoyed the conversation, [1:27:07] I'd be grateful if you could take a moment to leave one. [1:27:09] For all past episodes and more, [1:27:11] visit us at thegeneralist.substack.com. [1:27:15] See you next time as we continue to explore. [1:27:18] the future. [1:27:20] *music*