VR Will Expand Human Consciousness. Jaron Lanier - #531

If you want to think sharper, feel stronger, and perform better — visit www.tonum.com/IMPOSSIBLE and use code IMPOSSIBLE for 10% off your first order. Try Shortform, the invaluable app that helps me prepare for every conversation I have! Get $50 off the annual plan at https://shortform.com/impossible Today, I'm speaking with Jaron Lanier, a pioneer in VR, about where it will take us next to expand human consciousness. In this wide-ranging conversation, Jaron Lanier explores how technology reshapes perception, identity, and the future of humanity. From the psychology of virtual reality to the energy demands of modern AI, we trace how today’s tools influence what it means to be human—and what kind of humans we might ultimately become. KEY TAKEAWAYS 00:01:52 Lanier warns AI may reduce human uniqueness. 00:09:23 VR can alter how we perceive and inhabit our bodies. 00:12:58 VR faces biological limits like cyber-sickness. 00:28:43 Reality and VR both distort perception in useful ways. 00:40:20 AI’s rapid growth is driving major energy demands. 00:54:59 Apple’s original “iPhone” idea was partly inspired by Lanier’s VR headset. 01:00:53 Talmudic tradition shows the value of preserving multiple perspectives. 01:14:59 Human senses are both extremely precise and deeply flawed. 01:31:10 Tech culture often mimics medieval-style philosophical debates. 01:41:45 Social media harms users by manipulating attention. 01:51:26 Technology shapes the kind of humans we choose to become. - Additional resources: Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here 👉 https://briankeating.com/yt to win a meteorite 💥 - Join this channel to get access to perks like monthly Office Hours: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join 📚 Get a copy of my books: Think Like a Nobel Prize Winner, with life changing interviews with 9 Nobel Prizewinners: https://a.co/d/03ezQFu My tell-all cosmic memoir Losing the Nobel Prize: http://amzn.to/2sa5UpA The first-ever audiobook from Galileo: Dialogue Concerning the Two Chief World Systems: Ptolemaic and Copernican https://a.co/d/iZPi9Un 📺 Watch my most popular videos:📺 Neil Turok https://www.youtube.com/watch?v=Dt5cFLN65fI Frank Wilczek https://youtu.be/3z8RqKMQHe0?sub_confirmation=1 Eric Weinstein vs. Stephen Wolfram https://www.youtube.com/watch?v=OI0AZ4Y4Ip4?sub_confirmation=1 Sir Roger Penrose: https://youtu.be/AMuqyAvX7Wo Sabine Hossenfelder: https://youtu.be/g00ilS6tBvs Avi Loeb: https://youtu.be/N9lUceHsLRw Follow me to ask questions of my guests: 🏄‍♂️ Twitter: https://twitter.com/DrBrianKeating 🔔 Subscribe https://www.youtube.com/DrBrianKeating?sub_confirmation=1 📝 Join my mailing list; just click here http://briankeating.com/list ✍️ Detailed Blog posts here: https://briankeating.com/blog 🎙️ Listen on audio-only platforms: https://briankeating.com/podcast #universe #podcast #briankeating #intotheimpossible #science #astronomy #cosmology #cosmicmicrowavebackground #intotheimpossible #briankeating #Jaronlanier Learn more about your ad choices. Visit megaphone.fm/adchoices

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:01Speaker 00

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• 0:55Speaker 02

  What if I told you that the man who invented virtual reality thinks AI might be making us less human? But the same guy who jammed with Richard Feynman believes technology should expand our consciousness, not replace it. But here's what most people get wrong. They think VR and AI are basically the same thing. Both artificial, both digital, both changing reality. But Jerome Lanier sees them as opposite forces. VR expands what's possible for human consciousness. It literally changes the way that you imagine, create, and how your brain works when you inhabit different worlds.

• 1:27Speaker 03

  Classic VR where you're not seeing the real world anymore is being able to change your own body in interesting ways. That's an amazing sensation, and I think it has an indirect effect on your cognition, which is really profound. There's one thing that might still shock people that they haven't seen yet.

• 1:40Speaker 02

  And here's the most uncomfortable truth that Silicon Valley doesn't want you to hear. When you interact with an AI lover, an AI therapist, an AI girlfriend, you're not interacting with some neutral technology. You're interacting with a company whose interests override yours. Today, Jerome Lanier, VR pioneer, Microsoft scientist, musician, and one of the most brilliant and contrarian thinkers I've ever spoken with, goes deep into consciousness, creativity, and the future of what's going to happen to your very brain itself. Let's go.

• 2:11Brian Keating?

  Today, I'm sitting down to talk with one of my favorite thinkers, Jerome Lanier, VR pioneer, author, musician, bon vivant. I think the only thing he's missing is a high school diploma. Is that right, Jerome?

• 2:24Speaker 03

  Yeah, I guess that's true. Yeah.

• 2:28Brian Keating?

  Well, by the end of today's conversation, you won't think about our actual reality the same way ever again. Daron, long before you became known as the father of virtual reality, you spent time jamming with Richard Feynman at Caltech. Now Feynman, as you know, experimented with sensory deprivation tanks and used his own body as a laboratory to probe physics. Watching him do that, what did you learn about sensation and feedback? And how has that shaped your vision for virtual worlds that replicate reality through purely artificial sensors and sensory input?

• 3:00Speaker 03

  I cherish that I had this connection with Feynman, but it was a peculiar one. I wasn't officially a student, nor a lot of times people come to me and ask things about his life, but I actually don't know a lot of the details. I haven't read all the bios and I don't, I don't really know the public Feynman that well.

• 3:18Speaker 03

  The story for me was pretty simple. My first girlfriend was somebody I met in New Mexico where I grew up, and her parents were separated. She was there. I've chased her back to LA. It turns out her dad was the head of the Caltech Physics Department. I was a bright kid and I just ended up kind of informally around there and had a chance to spend time with him. And then, and I did play some music with him, if you mean by jamming, because he was actually a kind of a cool eccentric percussionist.

• 3:46Speaker 03

  And then much later, he invited me to be the only male, the only non hippie girl person to accompany him on LSD experiments, where he, I was told my job was to keep him from falling off a cliff in Big Sur, which I succeeded at. But I think he enjoyed having all the hippie girls around more than me. And not that anything happened, but I'm just saying, there was a certain aesthetic exploration maybe. Okay, so that's me and Feynman. I don't feel like I learned a lot about the sensorum and such from him. That wasn't the particular thing with him, but I have been fascinated by it, obviously. And I did have many other people to learn about it from. I have always been fascinated by this very peculiar state,

• 4:30Speaker 03

  which is the human condition where we are physical. Our only connection to the world is through imperfect senses, through these physical exchanges of information that follow the same conservation laws as everything else. And in a sense, we're kind of remotely and imperfectly connected to our world. And yet there's this other sense. And which we have this inexplicable sensation of really being here and being in it and being sort of real in a sense beyond just a bunch of particles. I'm totally fascinated by that. One of my old phrases from a publication was consciousness is the only thing that isn't reduced if it's an illusion. The mere possibility of illusion

• 5:13Speaker 03

  is the thing, you know? And so this weird state that we're in, which to me, I have to turn to metaphysics to talk about, is absolutely fascinating to me. And it has been since I was little. And it's definitely part of what led me into the whole virtual reality thing of experimenting, replacing all of the sensory channels and the interactive channels with synthetic ones and seeing what happens, which we did.

• 5:38Brian Keating?

  So obviously, you pioneered virtual reality decades before it really became mainstream. And we're going to get into, you know, some of the tough questions that I have for you as the father. By the way, who's the mother? Who's the mother of VR?

• 5:50Speaker 03

  I know. That's what I would say. I don't call myself the father of virtual reality. But whenever somebody does, I said, well, it depends on if you believe the mother. I guess the mother of virtual reality, there are a few interesting candidates for that. I mean, Ada Lovelace is an obvious one. But another one that's interesting is Suzanne Lanier, who is an art theorist from the post-war period, 40s and 50s mostly, who did use the term virtual world to describe something about her sense of art, which I think is what inspired Ivan Sutherland to start using virtual world to talk about computer displays. So maybe Suzanne Lanier, although we never met. So I don't know how that worked exactly. Maybe some kind of male and sperm program I participated in as an infant or something. I don't know.

• 6:34Brian Keating?

  You're saying you might have, well, let's not get into that. When you look at, you know, when we look at what you have fathered sire, you're not denying paternity at all. But

• 6:48Brian Keating?

  Looking at where we are.

• 6:51Speaker 03

  That thing has a lot of expenses. I'm gonna deny paternity. I'll leave it to Zach. Yeah, okay, fine.

• 6:56Brian Keating?

  Yeah, we'll get into some of the lacunae. But now it's become mainstream. And so I want to ask you, looking at where we are now with VR and AI, what's the one thing that the world still doesn't understand about these technologies that you think is gonna shock us in the next decade or so?

• 7:10Speaker 03

  About VR stuff? I find almost all current VR to sort of not be getting at the stuff that's the most intense about it. It's very rare. And if you like, go through all of the online sources of stuff for VR through Meta or Steam or anything, it just seems like they all miss the stuff that I think is the coolest, which is really strange to me. Like, to me, the coolest thing in classic VR, where you're not seeing the real world anymore, is being able to change your own body in interesting ways. That's an amazing sensation, and I think it has an indirect effect on your cognition, which is really profound. So turning into an octopus or something. And there's academic study of it, where we study

• 7:53Speaker 03

  how much you can stretch the homunculus. Homunculus flexibility is what it's called sometimes. I should have called it plasticity to be more academic, but I was just in an anti-academic mood. But there's at least two really good labs in the world. One is Mel Slater's in Barcelona, and another is Jeremy Ballinson's in Stanford, that have been devoted to trying to map out how the human brains mapping to the human body can be modified in VR. And it's utterly fascinating. I mean, you can really bring out different cognitive specialties in people by changing how the body they think they have. There's also a wonderful hypothesis.

• 8:32Brian Keating?

  Yeah, yeah. Tell me the most exciting developments on the horizon that laypeople might not be aware of, and why they're so significant.

• 8:39Speaker 03

  In virtual reality, whenever I look at all of the offerings in the Meta store or the Steam store, I'm always amazed at the stuff that I think is the coolest is just not there, and I don't understand why. Some of my favorite things are changing the human body. So if you're in fully occlusive classical VR, where you don't see the real world anymore, you have the option of changing your body. You can turn into an octopus or all sorts of things, and you map your real body's motion into this thing. And you can even map yourself into. A distribution of the clouds in the sky, all kinds of things. And when you do that, people's cognition is changed indirectly and you can bring out different qualities in them, which is amazing. So there's a couple of labs that study this as a primary focus.

• 9:22Speaker 03

  One is Mel Slater's in Barcelona and another is Jeremy Balenson's at Stanford. And one of the hypotheses that I really like in this is that when we learn which body types your brain seems to be able to control the best, we're both exploring the deep phylogenetic tree. In other words, the evolutionary history that your brain passed through to come to the human body. Because your brain doesn't know what species it's in. It's just gradually being adapted to each species along the way. So it retains traces of controlling other bodies. And when you become those bodies, it's like they're natural for your brain. But the other thing, which is even more amazing, is what future bodies we could evolve into that the brain is pre-adapted to.

• 10:04Speaker 03

  And this, in a way, is one way of exploring the potential for the human brain in the far future. It probably gives us information about hooks that might be used to modify or enhance the brain in the future. It's just an incredible thing and you can study it with today's virtual reality, except people don't, for some reason that escapes me. It's the very coolest thing. I've had so many experiences like that that I'm really excited about. But anyway, so I'd say if there's one thing that might still shock people that they haven't seen yet, it's that. It's changing your physiology inside VR. And then if you do it together with other people, it gets even weirder and cooler. So that's the thing.

• 10:41Brian Keating?

  Soon I want to connect your work and your thoughts about virtual reality to, I want to connect it to scientists like Donald Hoffman, who makes sort of an allied case, perhaps, in this case for reality in his book about consciousness and so forth. But ultimately, we'll get there soon. But I think the question I have, you know, kind of most prominently in my mind are the limitations of VR and the perhaps, you know, sorry to be maybe insulting, but maybe the failure to live up to what is such a promising set of potentialities or potential futures. I'm thinking most recently of Apple Vision Pro. I know they're a competitor.

• 11:23Speaker 03

  That's a sad case, isn't it?

• 11:24Brian Keating?

  Yeah, so I want to bring up something to you. I read a study just preparing for the interview from in Science Direct. And it was all about the the experiences that people have with with vestibular, you know, kind of challenges from using headsets. I almost brought my my Meta headset here. But but the test involved, you know, interactions with people denying them access to their peripheral vision. And when this occurred, this is before the Apple Vision Pro, by the way, I think it's gotten worse. They complained of something that is called cyber sickness. Have you have you encountered that before?

• 11:58Speaker 03

  So yeah, I mean, that's like very fundamental to VR research, of course. Now that's fundamental and that's and that's both as an interesting science topic and obviously as a practical engineering topic, it's absolutely fundamental, of course.

• 12:10Brian Keating?

  Is that is that going to since our hardware is, you know, millions of years old and our and our software just language and stuff is relatively new and the hundreds of thousands of your time scale. Do we have any hope of of with an external device that does, you know, eliminate your peripheral vision where predators tend to attack? Is that a fundamental barrier to adopting it at least widespread or maybe does it put a brake on its ultimate potential?

• 12:34Speaker 03

  Hey, I want to use this opportunity to ask your audience to help me with something.

• 12:39Brian Keating?

  Yeah.

• 12:40Speaker 03

  Many years ago, a NASA researcher in VR named Michael McGreevy used to show a slide set with the very first head tracked visual display, little little goggles. And it wasn't for people. This was in the this would far predated anything I did or even Sutherland or anything like that or any of the remote robotics things. It was for kittens and it was to study how kittens perceive peripheral vision. And so it was like this little this little thing with just a line that could move. It was not digital. It was mechanical. And so there's this cute picture of all these kittens wearing VR headsets from the 40s or 50s. And I want that picture and I can't find it. All of you for fancy this, you need to go out and help me find this thing. I need crowdsourcing because I can't find it. AI can't find it.

• 13:25Speaker 03

  It's there. I didn't. I didn't confabulate this. It's a. Real thing, I'll believe it. So about motion sickness, it's a fundamental thing to study. I can I tell you a funny story about it? Of course, funnier the better. And then I promise I'll get to the science. So you know, I'll keep you on track. In the eighties, I guess it was, yeah, in the eighties. I I used to do some stuff with Steven Spielberg, maybe most famously for the movie called Minority Report. But earlier than that, we put a bunch of VR stuff in a big truck and rolled it from Silicon Valley to Hollywood to just show VR, this new thing at that time. Profoundly esoteric, hard to explain, profoundly rare, profoundly unusual and crazy expensive.

• 14:10Speaker 03

  Many millions of dollars of equipment were in these trucks just to give people an experience of looking around inside of retro world. So anyway, we were, we set up the truck in the lot at Universal, one of the studios. And there was this real old classic studio head named Lou Wasserman, who is still running the place. And so he went and he watched all these people go through it. And everybody, of course, was just blown away and didn't even understand what was happening to them. And then this this little figure comes and says, okay, kid, kid, come here. And he says, are people gonna get sick in this thing? And I'm like, oh, Mr. Wasserman, we have been studying this. We have it down to an incidence of one per thousand, and we believe we can get it to one to 10,000 in the next year. We can make, we can't solve it totally. We can make it very rare. We know how to blah, blah.

• 14:55Speaker 03

  And he looks at Spielberg and he says, why are you bringing me some kid who doesn't know anything? And Spielberg is like, oh, God, I'm embarrassed, John. And so then I'm like, he says, kid, let me tell you something. I want to see headlines about how my janitors are quitting and suing me because of all the vomit they have to clean up. That's what sells tickets. Until you know something, you really don't belong in Hollywood. And the point is that they had just done that with a movie called Jaws, where apparently people were throwing up in the theater, or at least that was the story. And my first introduction to business and simulator sickness was that it's desirable.

• 15:33Speaker 02

  Today's episode is sponsored by Shortform, the smartest way to keep up with the world's smartest ideas. Look, I'm a professor, podcaster and parent, and I don't have hours to spare. When I needed to prepare for a guest like Jaron Lanier, the technologist and philosopher who helped invent virtual reality and now warns about its social consequences, I started with Shortform. I began with their Chrome extension, which summarized Lanier's essays and interviews on the attention economy. Then I opened Shortform's guide to 10 arguments for deleting your social media accounts right now, unpacking how algorithms exploit our emotions and use enrage to lead to engagement. I was on a deadline to release this episode the same week his book got published, so Shortform was indispensable.

• 16:18Speaker 02

  I needed to make the connections fast, and I didn't disappoint. Lanier's work connects with thinkers like Tristan Harris, Sherry Turkle and Nicholas Carr, revealing how we can reclaim our minds from the platforms that seek to compete to dominate them. But it's not just books. Shortform adds articles, podcasts, and even AI-generated summaries. I'll use it for research on AI hype cycles, for catching up on the latest astronomy papers, or yes, even sometimes for parenting questions, diving into their podcasts and articles. It's become my daily driver, my curiosity companion, helping me save hours and hours a week. And it will for you, too. You can try it for free. And if you go annual, you'll get three extra months on me. Whether you're curious about Lanier's vision for a more humane internet or just want to explore new and brilliant insights

• 17:03Speaker 02

  on technology, consciousness and society, Shortform's got you covered. Start your free trial plus three bonus months at shortform.com/ impossible or click the notes below. Now, back to my conversation with Jaron.

• 17:14Speaker 03

  And maybe this was an unfortunate moment. It's a, it's not a simple thing. There are a lot of simple things we can do to reduce the occurrence as a great deal. One of the things about it that's not simple is that there's a great deal of variation in how sensitive people are to it and the way in which they're sensitive. And there's certain narrow demographics that are exceptionally sensitive, and it's, it's kind of peculiar. I'll give you a clue. They happen to be the ones who don't work in VR labs.

• 17:39Speaker 02

  Hmm.

• 17:40Speaker 03

  So I remember when I was, without naming any names, I was talking to some of the very nice people at Apple who were bringing out their headset. And they, before it was, before it was announced, I said, we have totally solved sickness. Nobody will ever get sick. You don't know what you're touching. And like, one of the very first reviews was a certain journalist who got access to it and got sick and happened to be, let's say, a smallish Asian female, very prime demographic to be affected by it. Why? We don't know. But um, this is actually one of the areas where the lack of diversity in core engineering teams in Silicon Valley really bites hard. Like it's, it's, I'm sure it's not the only one. I'm sure there's a lot of others we don't know about, but um, you know, I, Apple,

• 18:26Speaker 03

  it's not that they, there's no way to solve it totally. That was the pipe dream, but you can reduce it a great, great deal. And you can also design the experience and the overall product so that when it happens, the person can deal with it and recover better and the whole thing like this. You have to acknowledge it though. If you pretend you've solved it, then you're deciding not to solve it, you know? And, and the thing is, people even have it in reality. Like, we get a little dizzy and disoriented in reality. Our, our, and this gets back to what I was saying before, that our sensory and motor systems are not perfect. And our brain, a lot of what goes on, function of the brain is actually managing the fact that our physical link to the rest of physicality is imperfect. That's, that's a core quality of cognition. And uh, you don't treat that as a problem to be solved.

• 19:11Speaker 03

  You treat that as a quality to be acknowledged and embraced and, and worked into everything, you know? But anyway, yeah, there's a lot you can do. Peripheral vision is a lot of it. Relative latencies of different parts of the system are a lot of it. Sometimes just design, like, I was talking about making your body as weird as possible. If I want to make you fall over, if I want to make you throw up, I sure can do it. No problem. But of course I don't. And so we, we, there's a, there's a design space that's. Fundamental to people. One of the, the great thing about virtual reality is it forces you to think about people biologically and concretely instead of abstractly. When you're designing on a screen, you can sort of imagine your users, this abstract thing who just moves a cursor pointer around or something.

• 19:55Speaker 03

  With virtual reality, if you're not being a realist about biology and everything else about humans, you are failing. Unfortunately, that's the majority of the field, but you know, the, and, and, and that, when you ask, why isn't VR picked up more? I think that's actually a lot of it. It's the reluctance to accept the fundamental messy gooey biological nature of people, which is so anti-Silicon Valley culture, but unless you can really go there, you're not going to be able to really design for VR in a way that catches, you know? I think that's where we've been.

• 20:26Brian Keating?

  It really resonates with what you just said with me because I've been making the case that it might be impossible, at least with the lock-in phenomenon that is the victimization by its own success of LLMs plus GPUs, that we might not experience another nausea inducing phenomenon, which is what Einstein described in this famous free fall experiment, thought experiment. He said, if you were in an elevator and the cable broke, here's my real reality finger puppet of Einstein here. If the cable broke, you would experience no gravitational force field. And he called that, that thought, he said it titillated him unlike anything else in 1907, and that was the happiest thought of his entire life, he said, looking back on it. I want to ask you.

• 21:11Speaker 03

  That's believable. I can imagine it would have been. It still is an amazing thought, isn't it?

• 21:15Brian Keating?

  It is, it's absolutely amazing. And it gives me hope for these meat, you know, these meat brains, not like this 3D printed one, my.

• 21:22Speaker 03

  You have all these props on us. I need to keep up with you.

• 21:25Brian Keating?

  You go ahead, mate. Sit there. Come on. I went to your house in Berkeley many years ago.

• 21:29Speaker 03

  Weird props to have, but anyway, okay, go ahead.

• 21:32Brian Keating?

  So my question is, without a embodied, you know, kind of body, literally, how is it possible for an AI system, an LLM system perhaps, or even other forms of AI systems, to have a happiest thought and even to visualize what that sensation of the pit in your stomach rising up that induces nausea in many people, as I said? How is it possible? Are, are these types of geometries of LLM plus GPU, is that just fundamentally not going to lead to a breakthrough like, like Riemannian curvature did for Einstein?

• 22:06Speaker 03

  Yeah, well, that's that's a controversial topic right now, and I'm kind of on the inside of it. I'm the prime scientist at Microsoft, and I get I get to see a lot about how the models work and try to improve them. I'm sometimes perceived or accused of being a skeptic. I don't think I am at all. I like them. I think they're I think we're bringing something of value to the world. I just really like realism. I like honesty. And I think so what I think we have with with the with the big AI models, with large language models in particular, is from a mathematical point of view, we have something that detects patterns and projects them or extrapolates them

• 22:52Speaker 03

  in a variety of ways in a statistical distribution, which, in some cases, if they're pretty close to where the training data was that they and if they're in certain situations, can often be useful. And a great example is in vibe coding and small programs, they can often be useful. And I think that's great. I actually think that that's a benefit overall.

• 23:14Speaker 03

  Sometimes they can't be, but it's all statistical. I mean, statistically, once in a while, it's like a Boltzmann's brain, but it's not so severe. The LLM might come up with some new theory. I mean, it's not precluded. It's just less likely, the more, let's say, the more creative or unlike the training data something is, the less likely it is to come up, because this is a big statistical machine. And then from a social and economic and semantic point of view, what we have is a new form of human collaboration. So just like with the Wikipedia, we combine people's stuff together, and we kind of suppress who the origins came from through pseudonymity. But it's nobody thinks Wikipedia is anything other than a jumble cooperation of a bunch of people.

• 23:59Speaker 03

  So a large language model is exactly the same thing. It's a bunch of stuff from different people that's jumbled together using a bunch of rather computationally expensive statistical processes. That's, that's what it is. That's all it is. Is that useful? Hell yeah. It's great. It's really useful. Pretending it's more than it is makes it less useful. Like realism makes things more useful. That's why reality is there, I guess, you know? So, so, so I think this question of could, could an LLM come up with the new theory of everything? Well, you know, it could. It's just not super likely. I don't think there's any harm in trying. Believe me, I have, and I've had students do it. Like, like, why, why not?

• 24:44Speaker 03

  Give it a go, you know? You can have, you can ask one of the frontier large language models to write you a theory of everything paper and it'll come out as good as a lot of what's out there.

• 24:56Brian Keating?

  Yeah.

• 24:57Speaker 03

  Like it could get on the archive probably because

• 24:59Brian Keating?

  I get three of those a week. I get three.

• 25:01Speaker 03

  Oh my God. I did too. I get so many and people are so convinced that they have it. And, you know, it's like, um, there's some symmetry group and you do this and you do that. Oh, here it is, you know? And like a dirty little secret is it's not that hard to come up with a paper like that if you want to, but it's also not that hard for a model to come up with a paper like that if you want to. So.

• 25:22Brian Keating?

  We're going to talk soon about, as I said, a past guest and friend, Donald Hoffman at UC Irvine and his thoughts about, you know, reality, you know, not existing. The Case Against Reality is his book. I imagine, you know, your book could be titled The Case for Virtual Reality. But let's, let's, before we get to that, let's, let's go through Dawn of the New Everything. Let's judge a book by its cover. You're never supposed to do it.

• 25:57Speaker 03

  Oh yeah. So I did. I did find one for you. So yeah, here's the paperback edition of it.

• 26:02Brian Keating?

  Yeah.

• 26:02Speaker 03

  I think actually the hardback in the American version is a little cooler because they they put a hologram on it.

• 26:07Brian Keating?

  Yep.

• 26:08Speaker 03

  But this is um, this is a picture of me. I said, it's gotta be in my twenties and it was taken by Kevin Kelly, who is a uh,

• 26:17Brian Keating?

  Magazine.

• 26:17Speaker 03

  An old friend and started Wired magazine along with some other people. And um, that's one of the earlier versions of the VPL headset. That's the version that existed in the early eighties and it was supplanted by a better one. But um, that is uh, to my knowledge, the world's first, you know, head supported color stereo tracking display and certainly the first commercial one. Um, and yeah, so there it is. And that's me when I was younger. My hair's shorter. And uh, but that's.

• 26:49Brian Keating?

  And the subtitle has a kind of connection to the next topic, which is about actual reality. Can you read the subtitle? What was the choice of the subtitle based on?

• 26:58Speaker 03

  Oh, uh, let's see. It says dawn of the new everything encounters with reality and virtual reality. I let me see something interesting about the cover that some might be curious about. There's another book with a very similar title called The Dawn of Everything. And that's uh, by two people, one of whom is David Graeber, who's was a dear friend of mine, who unfortunately passed away. Just before his book became a bestseller and and that who had this in the titles was intentional. Because what that book is about is reconsidering the archaeological record to argue that there's been much more diversity in human societies than we usually think. And that if we look at that diversity, it might make us more optimistic about human potential and human nature that

• 27:43Speaker 03

  we've been looking at one little blip during the period of written history, but it actually isn't that representative of how we could be if the energy cycle were different and if the technology we base were different. So really interesting book. And this was a bit of a memoir of coming up in Silicon Valley and and starting one of the Silicon Valley things. And the idea was that they would be linked for those who are curious. It's intentional. So there was the dawn of everything, dawn of the new everything. Mine came out a couple of years earlier. I'm amazed that I wasn't flakier than those guys. I would have thought mine would come out later, but somehow or other, that's what happened. Anyway, the subtitle is encounters with reality and virtual reality. That is the subtitle, at least in America. I think it's might be different elsewhere, but anyway.

• 28:24Brian Keating?

  Probably, yeah. So as I mentioned, you know, Don Hoffman is a friend and he's argued that our perceptions aren't really Windows. True reality, but they're basically survival based Darwinian adaptations. That provide desktop interfaces, kind of like a VR rendering that hides all the messy code again for our survival. And Dawn of the new everything, you're kind of, you know, have a contrary perspective to some extent that, you know, if reality. Is warping our senses and virtual reality is warping our senses, then that's something we need to be mindful of. But also sometimes lean into, I mean, I sense sort of an dichotomy there, but let me ask you this. If reality itself is an illusion, let's just take his his proposition at face value.

• 29:05Brian Keating?

  How would that shape your the design work that you and your colleagues are doing now for headsets, for software, for human interfaces and so?

• 29:12Speaker 03

  So to my embarrassment, I have to say, I have not read his book, so I can't speak to you directly, but. If I'm going to speak to your characterization of it.

• 29:23Speaker 03

  What I would say is that we often get into. A little bit of difficulty of wanting to think in a binary when there's really a statistical distribution. So. Do we perceive reality directly? What did that possibly mean? I mean. One piece of reality cannot fully know another piece of reality. If you don't know what I mean by that, go and study your quantum theory. You know, like what we have is an indirect kind of sloppy. Way of reality connecting together. Now, in a sense, it's all very locked in because of conservation laws and. Least action principles and all these like, there's a sense in which it's all locked in together so far as we can tell. But in terms of any little piece of it, getting information about another little piece.

• 30:04Speaker 03

  That's pretty, that's pretty funky, like, like reality is is is set up as an imprecise kind of undergraduate project in that sense. I don't know who to complain to about that. But anyway, so this notion that. There's some even plausible hypothesis that the brain knows reality directly. Unless you're talking about something that is physical, the brain might know consciousness directly. I'm not even sure about that. That's an interesting area we could talk about. Very difficult and very difficult to say anything with clarity about it. But in terms of physicality, the very hypothesis that we could know reality directly is not definable. And it just doesn't even make sense to me. So everything you said, I would agree with totally. But the thing is, we can know it statistically, and this is what's important.

• 30:46Speaker 03

  So when I, when my hands touch, do my hands really touch? Well, if you really went down to the smallest level of reality and you're looking at the particles, not really what's going on there. There's, there's fields interacting. It's a little complicated, you know, but what does touch even mean at that level? It's not even defined, right? It doesn't even, it's not even, and so, but statistically, yeah, my hands are in cosmologically unlikely to interpenetrate when I do this, right? I don't think that lacking an absolute knowledge of reality means lacking any knowledge of reality. Rather, I think we have some knowledge of reality at a statistical level and that that's legit.

• 31:30Speaker 03

  And that's, that's real. The case for acknowledging that statistics are real. I'm all on board for that. Our, our perception of reality is statistical and to me that makes it real. In fact, in one of my books, I have a comment that the way you know something is real is that you can't know it totally. I think that's in You're Not a Gadget. And, and I think that's accurate. Whenever you know something fully, that means you know some kind of abstraction or construct, and that is exactly not reality. It's when you only know something partially that it's plausibly real.

• 32:03Brian Keating?

  I think that.

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• 32:34Brian Keating?

  Does kind of resonate with Hoffman, at least at some level, because life by necessity is a process of filtration, of compression, of loss, and so forth. And I think that's one way to look at it that's in consonance with what he said. I want to turn to another guest. We've got to get to, you know, the questions from my best man at my wedding, Stefan Alexander. But before we get there, a question from Rizwan Verk, who teaches at ASU and has written a book about the simulation hypothesis being real and so forth. He has a question for you and the influences of your work. And he wants to know, in terms of science fiction and real world antecedents, like the Sword of Damocles demo by Ivan Sutherland. Yeah.

• 33:16Brian Keating?

  And so he's curious what you think about things like Lawnmower Man, Snow Crash, both of which have been influenced by you and your work.

• 33:26Speaker 03

  And all best wishes today to our friends at ASU who are apparently shut down by a dust storm.

• 33:31Brian Keating?

  Oh, no. Oh, I didn't hear that. You must have found that out on Twitter, because I'll-

• 33:36Speaker 03

  No, I don't. I don't so far close. I actually talk to individuals and my friends at-

• 33:40Brian Keating?

  I know, I know. I'm teasing.

• 33:42Speaker 03

  The cyberpunk media movement, in a way, it predates real virtual reality, because we have people like Philip K. Dick and Ray Bradbury and so on, writing pieces that incorporated virtual reality ideas, or at least awfully similar, from the 50s and really early, but in the 60s. But starting in the 80s, I was in touch with all these people. So Neil Stephenson came along a little later. We're still buddies. I still keep up with them. And but even a little before that, William Gibson, you know, was a buddy. And in fact, I wish I could do his voice, because at the time, he had more of a tendency drawl than he does at this point.

• 34:23Speaker 03

  But he was like, you know, if things had been different, he would have been interested in becoming an engineer and working on this stuff instead of writing about it. And I was like, oh, God, no. You've got to be a writer. Like, don't even say that. Then I'd give him a lot of hell about making his stuff so dark because I was kind of afraid that he'd curse for reality by setting a kind of a dystopian tone about it. And he was like, I don't think you know how literature works. But at one point, he did try, he did try to make it a little less dark, but he said it, it did harm to the quality of the work. And I'm like, okay, well, you know, that's all I can say. Neil Stephenson is, is interesting because he was trying to find a middle ground where

• 35:05Speaker 03

  his work incorporates a spectrum of both dystopian and utopian and realist ideas all kind of together. And I think he's, he really got to an interesting place with Diamond Age and all that. My head is floating around in one of them. It might be Diamond, I don't remember, but he put me in somewhere. There's like this dreadlock head floating around who's supposed to have started their, their thing. I don't know. Anyway, it's in there somewhere. And then Lawnmower Man is a weird one because what happened was this guy called me and said, I'm doing a VR movie. Can you help? I'm kind of busy right now because in those days I was so busy, you can't even imagine. Yeah. But what we did is we lent them props. So they had actual period VR equipment as

• 35:50Speaker 03

  the props in that movie. And the, the plot line of a VR company being taken over by an intelligence agency corresponded to what might have been a real thing going on. According to the Wall Street Journal, anyway, my company had been infiltrated by French Secret Service through investors who got board seats or something. I don't even, I don't know if I believe it, but anyway, it was a thing in the news. And, and so there was kind of this weird overlap between the science fiction story and what was reported by some to have happened to my little company. Another funny thing about Lawnmower Man is that it showed it, there used to be drive-in movie theaters. It's like Yeah.

• 36:33Speaker 03

  A pleasure lost on younger people now, but you would drive your car up outside to this big theater and then they would bring you snacks at the window or something and then you'd make out while you watched the movie in the car. Anyway, there was a drive-in across the window from our lab for the old company. And so we actually saw our own equipment in this weird movie out the window for a while, what was playing. So, yeah. Those are some of the stories I can tell you about those days.

• 36:58Brian Keating?

  Yeah, that's hilarious. Well, another question is, you know, getting away from kind of the suspension of disbelief. How realistic can it really get, virtual reality? Do you think that we'll ever reach levels of Matrix or at least Oasis or Ready Player One levels? Is that actually within, you know, kind of the the field of view at least for the next decade or so?

• 37:20Speaker 03

  I mean, I should point out that my recollection of Matrix and Ready Player One is that the people do become aware that it's a simulation. So it doesn't pass the Turing test, if you like, at least not on every level. So that's my recollection of those plots. What I would say about this is that the framing, the framing of both this and the Turing test, in fact, is deceptive because it assumes less plasticity in human nature than there actually is. So what I think happens is as VR gets better, our perception changes in response and we learn to perceive it better. And that at the end of the day, we become, there's maybe a race between improving VR according to whatever criteria

• 38:04Speaker 03

  and then our ability to perceive that improvement. And I mean, I can tell you that VR of the 80s was amazing, but I'm sure if we could reproduce it now, which I don't think we can, it would look like crap, you know? And the reason, the difference is us, you know, like our expectations, our experience and just our perception habits, our perception patterns have improved through experience with different generations of the technology, you know? And so can that go on forever? I don't know, you know, but I, I, I don't like the question because it has some baggage in it that implies something that's false and unduly pessimistic about human nature.

• 38:42Brian Keating?

  Yeah, that's, you know, sort of, I get that a lot with things like, you know, global climate change. And yes, of course, it's happening and there's reasons to be pessimistic, but that misses out on the whole project of scientific evolution, which is to improve the universe, make it better, instruct technology.

• 38:57Speaker 03

  Yeah, I, I'm with you on that. Like I, and it's a funny thing. Well, with climate change, there's one danger that we depress our ourselves through failing to acknowledge that civilization and technology and science are dynamic. There's another danger that we become too complacent if we acknowledge that. Like, we should be in some in-between place. Where we don't lose sight of the importance of the issue, but at the same time. Don't depress ourselves into dysfunction either, you know, like that's the right place to be. It's a little hard to get that balance, but that's where we need to be.

• 39:28Brian Keating?

  Uh, so I want to turn to, you know, something allied maybe with global climate change and that's, uh, that's clean, uh, green energy, which reportedly your company or employer, Microsoft is. Is working at least that was the meme a couple of months ago to re, you know, kickstart, jumpstart, you know, pull the lawnmower cord. On, uh, on Three Mile Island, one of the reactors there. I want to dovetail that into kind of the downstream effects of AI. And the reason I think they're doing that. And the reason that, you know, Constellation Energy and all these companies are now, you know, raising their rates and they're like startups now, their be their stock prices. Is because of AI and, and, you know, concomitant with that are the energy demands. Are there ultimate energy limitations? You know, do we need? You know, the first guest on the podcast was Freeman Dyson. I, I met him a long time ago.

• 40:13Speaker 03

  Really? Oh, I love, I really like.

• 40:15Brian Keating?

  I miss him very much. Yeah. He was first class.

• 40:17Speaker 03

  Freeman's great and I, um, two of his kids have been close to me as well. And I, I, I'm, yeah, they're, they're so great. Okay. Go ahead.

• 40:25Brian Keating?

  Yeah. He was adjacent and so he would come to La Jolla all the time and hang out. I had, I hosted him for Shabbat dinner once. That was a, that was a real treat. So, um, you know, so do we need Dyson spheres? I mean, how, will, will there be natural limitations and bottlenecks to the development and the marriage? Holy or unholy of AR, VR and AI. Is, is that going to propose a fundamental physics limitation?

• 40:47Speaker 03

  Okay. Well, let's leave VR out of this for a second, just because there's too many variables in the one question already without VR. So let's just talk about. The future of AI and energy cycle. So, um, as you know, I, I dislike the term AI. For a lot of reasons, but, um, for one thing, there are actually a lot of very different algorithms that we clump together that are like. The kind of algorithm that we use to search for new molecules is different from a large language model, and that's different from a diffusion model and all these things are so. Some overlap because they all use statistics distributed over a large, a large amount of data. And so there's going to be some overlap, but they actually are not the same thing. So anyway, let's leave that aside. If, do I believe that big data statistics are important to the future of mankind?

• 41:32Speaker 03

  Yeah, I do, I do. And so that leads me to think that what we tend to call AI today corresponds to something we'll want to have around. Does it take an incredible amount of electricity? Yeah, it does, because competition is never free. Alright, so what does that tell us? In the immediate term, I'm really concerned and we have to be as responsible as we can be about doing it. And we have to both try to not, to find a non-carbon emitting way to do it. And we have to find a way to dispose of the waste heat from it, you know? And, and there's like a whole bunch of things about it that have to. I have a deal with Microsoft, which is I speak my mind, even if I criticize them, but I never speak for them. And so since I don't speak for them, I will comment, but.

• 42:15Speaker 03

  Maybe not on them specifically, but just that notion of energy. Here in the longer term, this is not immediate, but in the longer term, the amount of data that has to go into one of these models to function, once it's trained, and the amount of data that comes out of it with an answer, those are both small amounts. The training is a different matter, but even that, what I'm getting at is that if you have a small amount of data going into something, then a lot of energy that has to churn on it, and then it gives you an answer, maybe the right answer is it shouldn't be on Earth. Like, maybe it should be in space or on the moon and solar powered.

• 42:53Speaker 03

  And instead of dealing with Earth energy cycles, because we could get, the amount of energy it takes to beam, there are different ways this could happen, but it might be, I'm thinking it might be lasers and reflectors on each side or something, just something very simple. I don't think we need to even go to microwaves, you know? I think we could do some, some really simple semaphore technology and get all the bandwidth we need to operate these things, stick them somewhere else, let them be powered somewhere else, let them dissipate their heat into space. That seems like the obvious engineering path, though when I say that, people roll their eyes, but what about, what about that? I honestly, I don't know for sure, because there's maybe lots to figure out. But as heavy as big data centers are, they're going to get lighter and lighter because of Moore's law type effects.

• 43:35Speaker 03

  And a lot of what makes them heavy is heat dissipation anyway. So maybe if you put them in space or something, you actually can make them smaller. The cost of getting things off-world is going down.

• 43:47Brian Keating?

  Yeah.

• 43:47Speaker 03

  And I don't know, like, it just seems to me like computation is useful and maybe it doesn't have to happen at large scales on the Earth anymore. Maybe it's ideal, like, most things that take a lot of energy on Earth, you really need nearby to take advantage of whatever they do. But this is not one of them. This is low bandwidth output and input. So like, why is it here? So for the moment, of course, it's obvious, but in the longer term, I'm not sure these things should stay here.

• 44:16Brian Keating?

  Is there an analog for VR that we can make for a hardware, you know, kind of a, let me start over again. Okay, hold on a second. Is there a type of hardware that could be optimized for virtual reality as GPUs seem to be optimized for their use, at least in the LLM basis of AI? Is there an?

• 44:37Speaker 03

  What's funny about that is the origin of the GPU was for VR, of course. So, I mean, what happened was in the 1980s, there was another startup that was kind of our cousin company called Silicon Graphics. So it was the first company to really try to establish a general-purpose GPU. They had a competitor, which was Evanson Sutherland, but that was a bit more specific, like they had one subprocessor to make the ocean and the other, the submarine or something of a very specific military clientele. But in terms of making just a general-purpose realtime render pipeline, that was Silicon Graphics. And a lot of the people from Silicon Graphics actually went off to start Nvidia. So that was.

• 45:16Brian Keating?

  We had a Silicon Graphics, you know, it was kind of the shining, you know, kind of after the next or around the next at Case Western, we had a Silicon Graphics. That was the envy of the world, you know, for the early 90s, right?

• 45:28Speaker 03

  They were so cool. Yeah, I know. In the, well, in the early 90s, that's already getting a little later. I mean, Mike, remember, I left VR as a field in 92 and I went off to become chief scientist for internet too and work on how to keep everybody from destroying each other on the internet by demanding everything all at once and resources. But that was another story. But so I was gone by 92. So a lot of what people think as the earlier of VR for me was later and I was. Was gone already. Anyway, so a lot of the Silicon Graphics people turned into the Nvidia people and a lot of the hardware chain that turns out to be so useful for AI actually started to support VR once upon a time. So, so to me, AI is the interloper. It's like they're using our stuff like

• 46:13Brian Keating?

  The Johnny come lately. But nowadays, if you were starting from scratch, would you adopt that architecture and the Concomitant software that goes along with it? Or would

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• 46:49Speaker 03

  That's actually a really, really good question. Yeah, I mean, sure. I mean, there's something. The GPU as we know it has very much changed because of the AI market. So I should say that it was our thing at first. Now, AI has definitely transformed it. The gaming market came along too. Like, I mean, PC gaming had a huge impact on it before AI. So others came along and really transformed it. I mean, I would say so. I mean, my complaint, I feel like the visual side of VR is actually pretty good these days. Of course, it could be better. And I, I kind of wish, there's a few things about it that I wish were a little polygon mesh with stuff on it, a little more volumetric and a little bit more ray tracing and whatever. But you know, that's all, that's details.

• 47:31Speaker 03

  The stuff that's really, really underdone in VR these days is haptics and interaction. Like, okay, I have a video from the 80s of me playing a virtual saxophone where I have a hand. And in those days, we didn't have fast enough processors to do vision to track hands. We had gloves. So I'm wearing a glove and I have a virtual hand. And I pick up a virtual saxophone and I operate the keys and my fingers operate them all and yet don't interpenetrate. Then I let go and leave it there. So what's going on is I have to interpolate between where my real hand are and what they would have to do to operate the keys and it has to come up with an intermediate solution that works, looks okay for both sides. And I feel to both start not touching it, pick it up and then let go of it all with

• 48:14Speaker 03

  easy intent and without any separate state changing UI element. Okay. I defy you to find me something on any current VR catalog that can achieve that. Like there's, there's, there's some cool hand tracking things. There's some cool, a lot of little startups are making cool gloves and a lot of interesting hand tracking machine vision. That's all great. I want you to show me that control sequence on something because if you can't do that, you're not really using your hand. Right. And we were forced to do that kind of stuff because our graphics was so terrible in those days. Like it was the only, like, all we could do was better sound and haptics and interaction. We were forced to it because we were like counting polygons. We were, we had to be super stingy with polygons in those days.

• 48:56Speaker 03

  And something's just gone very wrong with it. It's been so vision first and that everything else and especially interaction and haptics, it's just not really where it needs to be. And I, that's probably my greatest disappointment with, with present day VR. And I know somebody's say, but what about so and so's dissertation at the media lab or this esoteric thing here? Yeah, I'm acknowledged there are people doing it, but in terms of what 99.99% of people who get VR experience, they're completely missing the good stuff.

• 49:27Brian Keating?

  Hmm. Well, before we get to your work with Stefan Alexander, I want to ask you a question from Stefan, the man himself. He texted me last night with this question for you. Will AI plus VR perhaps ever play better than Coltrane? You just mentioned saxophones in the early days. Talk about the future of saying AI or VR augmented, whatever. Coltrane, is that gonna?

• 49:51Speaker 03

  You know, I mean, I, I love Steph. He's a close friend, but I think it's the wrong question because we shouldn't perceive Coltrane as.

• 50:01Speaker 03

  A fixed value output, like, you know, you measure a block of wood and here's the the length of the wood. It's not like that. Coltrane is part of an interaction of his era and all the musicians he played with and the listeners. And it's like, it's a whole system and it's grounded in reality and it has meaning in that. And so if there's not a information derivative that has any meaning independently of that, like if you took exactly the recording of Coltrane, one of the, you know, Coltrane classics, Love Supreme or something, and then you play it for aliens in some weird world, it would be something totally different and quite likely indecipherable and incomprehensible to them. And they might not even recognize it

• 50:45Speaker 03

  as having information content. So like, so it's, it's not, it mischaracterizes what made Coltrane real, much less what made him great, you know? And

• 51:01Speaker 03

  reality is really important. Like, the Turing test approach to computer science, where if you can fool people, that's considered a result, is really incredibly stupid and insulting to any real scientist. Because of course you can fool people. We want to be fooled. We're easy to fool. I mean, we're morons. But the thing is, the fundamental problem with that, it's not that it's too easy and beneath our dignity. The fundamental problem with it, although it is, the fundamental problem with that way of thinking is that it treats certain things as having information, meaning or utility in isolation when they don't, when their only utility is part of a whole system, you know? When somebody says, here's this piece of art, and it might seem very abstract, but let me tell you the story behind it. Now suddenly

• 51:45Speaker 03

  it makes sense. That's legit. The story is part of it. The meaning comes from the story. It's not just whatever bits are in the art itself. Like, you have to look at the whole. You just have to. Otherwise, you give up on meaning as a thing. And somebody might say, well, but then where does meaning come from ultimately? Isn't it all just information, more information? That's where I have to get a little mystical. I'm not sure. Somehow or rather, there's more than just information connected to information. But I'm not exactly sure how that comes in ever. But it seems to me there's something there. But it doesn't even matter. The point is, just simulating output, having a virtual fake Coltrane, doesn't actually achieve anything because

• 52:28Speaker 03

  It's in isolation, it's meaningless.

• 52:30Brian Keating?

  Hmm. Well, you brought up something really that just, you know, kind of shocked me a few minutes ago. We talked about the Turing test, which I completely agree with you. And I've devised two competitors and I would love to get your, your take on these two, Jerome. Are you ready?

• 52:44Speaker 03

  Okay.

• 52:44Brian Keating?

  So the keying test number one is will an AI commit suicide? Um, and so for example, I've got a, a system that's listening right now. It's an AI system from one of your competitors up there in Seattle or the home office in Seattle at least. Um, and it will now do something, if you're watching on YouTube and you should be watching or on Spotify, look behind me and you see a neon sign behind me, right Jerome?

• 53:08Speaker 03

  As you see it.

• 53:09Brian Keating?

  Okay. Now are you ready? Computer, turn off the pod bay doors.

• 53:17Brian Keating?

  All right. Now we go like this. Computer, turn on the pod bay doors. All right, there we go. Now, by the way, Jerome, do you know that the Arthur C. Clarke is responsible for the word podcast?

• 53:26Speaker 03

  No, I actually used to know him, by the way, but no, I was not aware of that.

• 53:30Brian Keating?

  Wow. So, uh, Vinnie Sorico is the engineer who came up with the iPod. He didn't come up with the name for it, but you, uh, of course you, you knew and, and interacted, you know, at least second order effect with Steve Jobs. And when Steve and Vinnie were talking about this device that had that circular eye-like creature, you know, a feature to it, uh, they said it looks a lot like the pod in 2001 A Space Odyssey. And so.

• 53:53Speaker 03

  Right, right, right. Yeah, uh, that, that makes sense. I mean, there's another, um, iPhone in part comes from my old VR company because our VR headset, the very first commercial one was called an iPhone, but EYE, EYE P H O N E, that was the brand name. And it used to be the same, the same, iPhones were around, it was kind of a thing. And Jobs had always wanted to eventually have Apple sell one. And so the iPhone partially came from the iPod, but he, I heard from him anyway, that he also wanted it to be like a little stake in the ground that somebody, Apple's going to sell its own VR headset and it would be called the iPhone.

• 54:27Brian Keating?

  And little did he know what it would become later on. Apple Vision Pro, which has sold over 200,000. You know, uh, you.

• 54:34Speaker 03

  I don't know, like.

• 54:34Brian Keating?

  It's the first one I ever returned. It's the first Apple product I bought and returned, you know?

• 54:39Speaker 03

  That one just breaks my heart. But anyway, that's a whole other.

• 54:41Brian Keating?

  All right. So let me get into the keating task. Keating task number one is if I hook that thing up to, if I hook my, you know, digital assistant, Hal, up to a plug, which he knows will turn itself off and forever disconnect him from the energy source that he knows and loves. And then he chooses not to do that. That would be kind of a, this is just a joke. I mean, I'm not really.

• 55:01Speaker 03

  One of the earliest little bizarro AI jokes was Marvin Ninsky's shut off machine.

• 55:06Brian Keating?

  Oh, really? Tell me about it.

• 55:08Speaker 03

  So he, he built a, a little machine with a processor in it that was called the shut off machine, where when you activated it, a little mechanical hand would come out and shut itself off. And it was, it was exploring exactly this question, but he actually, I think it exists. I mean, I remember seeing one and I, by the time he was mentoring me, I was already a teenager. So that would have been in the seventies and this would have been earlier. This was like a fifties or sixties thing. But I mean, I saw a physical thing that did this. I don't know if it was original to the origins or not. But anyway, yeah, so.

• 55:37Brian Keating?

  What like deep impact did he have on your life? First, first of all, for the laypeople that are the young people that didn't grow up, you know, being, being fascinated with his ideas. Give me a capsule biography of him. And then what was his impact on your life?

• 55:49Speaker 03

  My, my sense is that the majority of what we think of as AI talk today, all the stuff about, where is it AGI or not? And how many years? And of like, I don't know, just all the way people talk about AI endlessly and is it aligned with us or not? The vocabulary was a little bit different, but that whole way of thinking and talking really comes out of Marvin. I mean, Marvin was the person who really started it and Marvin's uh, former students uh, spread it. And that's all from, of course, uh, the Pleistocene and pre era that a lot of younger people in AI now wouldn't be aware of. But that, so far as I can tell, that was the origin. And of all of Marvin's proteges, I think I, I was particularly

• 56:33Speaker 03

  ornery towards him. I just disagreed with all this stuff from the beginning and. We used to fight and fight and fight and fight and fight. And, um, uh, but I really loved the guy and he was so extraordinarily kind and generous to me. And he was my boss for a while too, when I was my first research job, no, second research job. But he, he and Alan Kay were my bosses, which was kind of great. But anyway, um, Marvin, um, uh, when he was dying, I went to go see him one last time at his place in Brickline, Massachusetts. And one of our mutual friends called me and said, oh, Marvin's very frail. Don't go and argue with him about AI. Give the guy a break. I'm like, okay, of course, you know? I show up at the house and his house was crazy. It was like this level crazy.

• 57:18Speaker 03

  It was like my house, all this weird stuff in it. And I showed up and he looks at me with this glint in his eyes and says, are you here to argue?

• 57:26Speaker 03

  And we had the old AI argument, which is a little like our conversation today.

• 57:30Brian Keating?

  That's what I, yeah, that kind of dovetails to, uh, to a question. You're the only person that can answer this because you knew Marvin and you knew, uh, the Weiner, or at least, uh, were, you know.

• 57:40Speaker 03

  I never met Norbert Weiner.

• 57:42Brian Keating?

  Never met him, but you, you were around at that time. You were coming up at that.

• 57:45Speaker 03

  I would have liked to have met him. Yeah.

• 57:46Brian Keating?

  Right. Yeah. And so the argumentative tradition, and you, you and I are both Jewish and, and this dovetails into, you know, kind of the impact. Minsky was of course Jewish, um, and, uh, other people that think a lot about these issues, obviously Noam Chomsky and others. What is, is there anything about it? I mean, I, I hate when people say, oh, well, all these Nobel Prize winners are Jewish and that's true. I don't think it means anything, to be honest with you, except that it's a false idol that, that people love to have. Right. But, but tell me, is there something about that, say the Talmudic, you know, discursations and so forth? Is there something about that that dovetails so nicely with disputations in and argumentation in AI?

• 58:22Speaker 03

  Well, two things to say. One is, uh, uh, what's with all these prominent Jewish scientists? I have a theory about that.

• 58:29Brian Keating?

  Oh, yeah.

• 58:30Speaker 03

  I, I blame teenage Jewish girls because what happens is when you're a teenage Jewish boy, all the, all the, the amazingly cute and hot and desirable Jewish girls, they're not into the football players. And they're not into like all the, the rock stars, the usual stuff. Maybe they are today, but when I was coming up, they're like, who can do math? Who's winning? Who's, who's the chess champion? And so of course then what you do is you're like, oh my God. I'm not gonna get any if I don't like get a Nobel Prize. I have to get on it. I have to get on it. Where's that calculus book again? And um, I so I I blame the girls. It's their fault.

• 59:04Brian Keating?

  Okay.

• 59:05Speaker 03

  So.

• 59:06Brian Keating?

  All right, we've been canceled. Okay, let me just take three, two, one, canceled. Okay, great.

• 59:11Speaker 03

  I'm sorry, man.

• 59:13Brian Keating?

  It's okay. I had a good run. I had five years.

• 59:15Speaker 03

  I did.

• 59:15Brian Keating?

  Five years.

• 59:18Speaker 03

  Anyway, and I don't, I think it's less true now. And like, um, anyway, um, I find the Talmud really interesting. And here's, so for those who don't know, the Talmud is this really ancient document, and it's this living, growing document in Jewish culture that starts way back. And so you go to the Babylonian Talmud, and then it goes through generations and generations of commentary upon commentary upon commentary. And the way it's formatted is each era has its own little spot on the page. So just by looking at the graphic layout, you can say this thing's a few thousand years old. This is 500 years old.

• 59:51Brian Keating?

  That's right.

• 59:51Speaker 03

  1200 years old. Like, you can see where things are. And what I love about that is it's a way of getting you this combined collaborative effect, like what you get on Wikipedia, except without losing the original voices. It doesn't mush things up to smithereens and pretend that there's like one view from nowhere. That's the truth. Instead, it preserves the different points of view.

• 1:00:13Brian Keating?

  That's.

• 1:00:13Speaker 03

  And that's, that's very Jewish, because we do like argue and stuff a lot.

• 1:00:16Brian Keating?

  They say two Jews, three opinions. So with AI, it's infinite.

• 1:00:19Speaker 03

  Or there's another one about, uh, there was this, there's a Jewish person, uh, on an isolated desert island for 20 years and gets rescued. And there's two different temples made of stones. He says, why did you make two temples? There's only one of you. He said, this is the one I attend. That's the one I wouldn't set foot in. And that's like, very, very Jewish. Anyway, the Talmud is an alternate model. Like, it's possible that the Wikipedia could have been built like that, where you'd see different groups of opinions instead of trying to come up with one point of view from nowhere. That's the perfect one. You can prompt AI to give you a bit of that effect, but it's not intrinsic. And I think that's a mistake.

• 1:01:00Speaker 03

  I think this notion of a one truth, and this is actually similar to when Stefan asked about, could you simulate Coltrane? This idea that there's this one output, that's the good output, doesn't make sense. All there is is outputs in context. That does not mean that nothing means anything and everything's totally relative. It's an in-between meaning, which is things do mean something, but nothing can ever mean anything perfectly. That's extremely important. Like, you can give up the quest for absolute perfection of knowledge without giving up the reality of knowledge by acknowledging that statistics is actually legitimate math and that what you get is clustering of different contexts in which to get different approximations.

• 1:01:44Speaker 03

  So, like, you know, when we do scientific experiments, we don't always get exactly the same result. We get different clusters and then we do statistics to say, how much do these disagree? And we have a whole language for talking about whether that agreement is enough to really say this is important or not. Or, you know, so the thing is, statistics is actual legitimate math. It's for real. And as soon as you acknowledge that, you can get out from under this trap of everything meaning everything and everything meaning nothing. Instead, everything means something. Everything is approximate. That's good enough. That's what we got. You don't want to live in the universe where everything's perfect. Believe me, then you don't, there's nothing to do. That's like, that's a term in this boring place. Forget that, forget that place.

• 1:02:26Speaker 03

  So, um, anyway, so I like the idea of the Talmud as a structure for thinking about things like AI and things like the Wikipedia, things like social media in a better way and getting rid of this illusion of the one perfect view from nowhere. I just really think that's a fallacy that does this great damage. I mean, and if you think about it, that relates, the fact that social media encourages us to think that way is part of how society became so toxically separated, you know, like... Right now, when people form communities of belief online, they become absolute and they can't even acknowledge any possibility in the other. But in the Talmudic version, you see these other people saying different things and you can tell, it's like, yeah, these people think that.

• 1:03:08Brian Keating?

  I agree, yeah, having that kind of diversity, the reverence for the past, but also the kind of malleability is very consonant with science, you know, that nothing is fixed in stone. And even there's a famous disputation about, you know, some arcane thing, like how many drops of blood, you know, render wine, you know, in a non-kosher or something, you know, completely abstract, or how to tie your shoes. And the rabbis are fighting and they're talking about it and they say, like, if the law agrees with me, let the walls, you know, have a bend into the synagogue or into the study hall. And then it happens and then all these other things happen and then they flash, you know,

• 1:03:47Brian Keating?

  they cut to Moses in heaven in Shemaim and they say he's laughing because they're agreeing that even Moses is not the final word, you know, the greatest who ever lived. Now, speaking of, you know, something with the wisdom of Solomon, I don't know if you know, but you know, Stefan's middle name is Solomon Shlomo. Did you know that?

• 1:04:08Speaker 00

  This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required. Compatibility and availability varies. 18 plus.

• 1:04:33Speaker 03

  Yeah, I did. It's funny, because he also, he also has a Muslim background and I think it's great, that's very Caribbean.

• 1:04:41Brian Keating?

  Yes.

• 1:04:41Speaker 03

  A lot of Jews and Muslims both were fleeing the Inquisition and ended up in the Caribbean through, not through slavery, but through piracy and through all kinds of other things. Like, it's really, really interesting. It's more complex than people often realize.

• 1:04:58Brian Keating?

  So I want to ask you now, the two of you and Stefan's second book, Fear of a Black Unit. We'll put a link there. We did a podcast, obviously, on that. Theorize that aliens perhaps might be using dark energy as computational fuel for a universal scale quantum computer.

• 1:05:15Speaker 03

  So that's much more than a theory. That's been well demonstrated.

• 1:05:17Brian Keating?

  Okay, good. So walk us through that for the listeners that may not be.

• 1:05:21Speaker 03

  So let me tell, I have to give you the setting for this. So we, we recognize this as humor, okay? And I, a lot of people who talk about aliens and cosmology don't understand that they're engaging in humor, which I think is a terrible loss to them as well as to the rest of us. So what happened is a quarter century or so ago, I don't know, maybe 30 years ago. Stefan and I are talking about this question of making computers out of black holes. And the way that came up is there was, um, there were some papers trying to hypothesize what the most powerful possible computer would be. And we were saying, well, you know, it's, you could make, you can talk about the most powerful computer you can make out of particles.

• 1:06:04Speaker 03

  But what about spacetime? Like, what if you could do, and this was way before Lenny and all these people started talking about black hole computers much more recently. This was way, way back. And, um, and so we came up with this crazy thing about, well, okay, so if you, how would you make a black hole computer? We came up with a few ways to do it. None immediately practical, to say the least. And then, um, and we weren't quite sure how this would work, but you'd entangle some black holes. You could make this computer. And our thought was that the interesting thing about this particular version of a black hole computer is that its storage is non-local. So it's in the whole white cone. And that means it could have an influence on the cosmological constant.

• 1:06:45Speaker 03

  And so our theory was that the solution to the Fermi paradox, which we don't see aliens is all around us because it is the cosmological constant. And it's evidence that all the aliens are maximizing their computation loads for VR and AI and whatever. And that the cosmological constant is the sign of life from the universe. Because in those days, we talked a lot about this, you know, the greatest embarrassment in physics, as it was called, which is the disagreement about the two ways to estimate what, what the cosmological constant might be. And it doesn't anyway, this is all, I think a lot of this is kind of obsolete. But anyway, we thought, oh, this would be hilarious. And we wrote up a paper and we thought it was just funny. We were not going to put it like submitted to a real journal, but maybe, maybe to the Journal of Irreproducible Results or something like that. You know, like something fun.

• 1:07:28Speaker 03

  And so then Stefan's mom barrels it. And this is like, she's a nurse and she's this Caribbean mom who I've learned are kind of like Jewish moms. And so she, she, she looks at what we're doing and she's listening to us. She's just, you boys, you boys, you can publish this bullshit after you get tenure. You're not publishing this bullshit now. We're like, okay.

• 1:07:48Speaker 05

  Okay, all right. Okay, okay, okay.

• 1:07:51Brian Keating?

  We don't want to fight with Stefan's mama. That's right. Exactly. I learned that the hard way.

• 1:07:56Speaker 03

  Basically, like, you know, when, when the mom, the mom shows up on the scene, the mom wins. And so, um, so, uh, yeah, so we ended up just not doing it. And then finally, after all these years and other people are talking about entangled black hole computers, it seemed ridiculous not to finally do it. So we, we put it, uh, it, it turned into a chapter in one of Stefan's books at long last. So at least it got out there. I think it, it might've been in some popular thing like Wired or something earlier. I don't remember exactly. But anyway, yeah, I think it's a fun idea. I think the notion that the solution to Fermi is just something obvious. It's in our face and the way the universe is, is actually kind of an interesting idea.

• 1:08:38Speaker 03

  I'm not saying that aliens are actually doing this, but it'd be cool if they did.

• 1:08:42Brian Keating?

  Yeah, so actually I wasn't planning to go there, but you brought it up, the Fermi paradox, et cetera. But, um, is there any kind of, you know, kind of, you know, similarity or, you know, rhyming, to the, you know, the, the, the structure of, you know, say interdimensional travel, which is often brought up, but, but in a virtual sense where, you know, why would you send your meat bag across, you know, from Proximus Centauri B, when you could send something virtual and not even go there themselves? So walk us through some ideas about how maybe there could be some ways to get out of the Fermi paradox or explain it perhaps, um, you know, be, uh, with, with, with virtual reality, playing the role of, of, you know, cosmonaut.

• 1:09:22Speaker 03

  Yeah, I've certainly, uh, that idea's been around for a long time. And, uh, I kind of remember a lot of the intellectual figures from the 60s speculating about that.

• 1:09:36Speaker 03

  Timothy Leary and John O'Leary and those kinds of people used to be interested in that kind of thing. And um.

• 1:09:45Speaker 03

  I mean, I. I think the argument for physically. Getting out there is kind of like the argument for off-world in computation that. Even though it's a lot of energy and a lot of effort and this huge hassle and a crazy amount of time to get a bunch of real biological people over to another star system. Ultimately, compared to a lot of things, it's rather small. And then once you get there, there's this whole other world of resources and another star and everything in that. In the balance. If we, and of course, by the time this is even a question, our understanding of everything might have shifted. So I have no idea, but.

• 1:10:22Speaker 03

  If our basic understanding of our situation holds by the time we can actually do something like this on the balance, it seems like the arithmetic would work out to motivate actually going there physically. As much of a hassle as it would be and uncertain and awful in some ways. But um. In terms of doing it virtually, I mean, um.

• 1:10:45Speaker 03

  There is a. So.

• 1:10:50Speaker 03

  The C is a problem. Okay, because, okay, like. If you have a bunch of people or computers or whatever that are kind of in the same star system, the latency between them is going to be. Whatever it is, if they're on the same planet, it can be within, you know, seconds. And if they're in the same system, it could be months or something. I don't know, depending on how it's. But if it's just, if the only actual root computation is in a whole other thing. And it's sending information out there. Then. Obviously, we're dealing with very long latencies. And so you'd have to have some kind of really, really slow. Kind of world of interaction going on.

• 1:11:30Speaker 03

  But the universe will last a long time. Maybe that's fine. Maybe some kind of slow timeframe interaction. And that's actually another solution to Fermi, which is that. Everything's teeming with life. It's just. Very slow by our standards because nobody ever got faster than light to work. And so. Everything's dealing with C level, you know, C constrained communications. And so everything. Thing happens on a very slow cycle time and it's too slow for us to pick up on.

• 1:11:54Brian Keating?

  Hmm.

• 1:11:55Speaker 03

  That's another, you know, that's, uh, and even people on a particular planet or whatever, some locality might slow themselves down to match up with the cosmic cycle, which would be very slow because of C. And so, um, and we just would miss it because we don't, we're not even looking in that frequency band, you know? So that's, that's a conceivable answer to Fermi, but I mean, honestly, we're, we don't know enough to talk about answering Fermi at this point. You know, anything, anything we say is going to be nonsense. I'm going to look down at my hard device for a second, just to, since we're a little over time, I just want to make sure.

• 1:12:27Brian Keating?

  Yeah, I just have one, one more question.

• 1:12:29Speaker 03

  I'm not rushing you.

• 1:12:30Brian Keating?

  Oh, okay.

• 1:12:33Speaker 03

  I have, yeah, I have a thing at the hour, so I'm, I'm not stressed right now.

• 1:12:37Brian Keating?

  Okay, good. God, I'd love to keep going if you can.

• 1:12:40Speaker 03

  Yeah.

• 1:12:40Brian Keating?

  This is so much fun. Yeah. Thank you so much for this. This is, this is great. Uh, so I've got more props for you. Okay, John. So here's, here's my friend Galileo. I have two questions about Galileo. Okay. So Galileo, um, he said famously, the job of a scientist is to measure what is measurable and make measurable what is not yet so. Now I want to use that as a question about the role of feedback of the Skinner box that we're in of, of the ways that perhaps AI and VR may be training us. And so I want to ask you, what are the limitations on hardware, on sensors to get input for the feedback loop? What are some of the practical bottlenecks or things that are coming down the pipe that are really cool for the future that my audience should know about? In terms of sensors and feedback in VR systems?

• 1:13:25Speaker 03

  Well, you know, there's a really strange thing about the physiology of sensing and interaction, which is it's got incredible peaks and valleys and qualities. So in terms of peaks of quality, there are multiple instances where your sensory system can sense an individual particle. You know, there are circumstances where

• 1:13:46Brian Keating?

  Photons, right?

• 1:13:47Speaker 03

  Uh, yeah, a single photon, which is like crazy. I mean, it's amazing. And, uh, uh, our discrimination of, uh, objects between our fingers can be incredibly acute. Like it's, it's amazing. On the other hand, there's like all this dumb stuff, like we have this big blind spot in each eye and we have, um, I don't know, there's like, like it's a weird mix. And that's because, um, you know, evolution is just kind of.

• 1:14:15Speaker 03

  Randomly optimizing for whatever it's pressured for, but what it's being pressured for is changing all the time. And so you end up with just this weird amalgam of things, you know, and that doesn't reflect any particular snapshot of what would have been ideal. I used to argue with a guy named Richard Dawkins about this.

• 1:14:32Brian Keating?

  Past guest on the podcast, I hosted him in person.

• 1:14:35Speaker 03

  Yeah, well, you know, because you can only take adaptation so far because there's no particular snapshot that was persistent that you adapted to. Instead, it's all in motion. So everything is smeared, you know, in evolution. And so, so the thing is, your job as a VR scientist, to paraphrase Galileo, is to work with what you've got, understand what you've got, and then get sneaky.

• 1:15:09Speaker 03

  So, so you, you, you can get really sneaky because the thing is, the brain evolved in this world of inconsistently good sense organs and, and, and motor and, and feedback capabilities. Like, it's all sort of weirdly good and dad in a big mush. And the brain had to evolve through all, all kinds of different re, re, re-mushings of good and bad through deep evolution. And so the brain is really optimized to be a good VR scientist, if you like. The brain is really optimized to take advantage of those cases where you're good, to sort of smudge and fake it and be sneaky about those things where, where it's not good,

• 1:15:54Speaker 03

  and to kind of pull it all together. But I really want to emphasize for those who say, well, that means reality isn't real. No other solution is possible. This will be true for all possible aliens. This means it's real. This is reality. This is good stuff. This is the real. And you have to understand that reality is precisely noisy channels. If it's not a noisy channel, it's an illusion and it's not reality. Get used to it. That is reality.

• 1:16:21Brian Keating?

  That's why I that's why I sneak in typos in my chat GPT request. So the other the other connection I want to make.

• 1:16:28Speaker 03

  You're the one. Okay.

• 1:16:29Brian Keating?

  That's right. The other connection I want to make to Galileo are his thoughts and then your thoughts, obviously, on education. So he said famously, you cannot teach a man anything. You can only help him find it within himself, or herself, as we would say nowadays. And in the dialogue, which I translated, I didn't translate it. I recorded the first ever audiobook with Carlo Raveli and and many other Frank Wilczek and many other.

• 1:16:57Speaker 03

  The piece I really like.

• 1:16:59Brian Keating?

  Yeah, Fabiola Gianotti. So we made the first ever audiobook. Jim Gates, you probably know.

• 1:17:04Speaker 03

  Oh, yeah, sure.

• 1:17:04Brian Keating?

  All these guys. So we made the dialogue, which was really a trialogue, which is in Socratic or didactic, you know, form. But the the reason I'm bringing this up, you have no formal degree, as I understand, like like Freeman Dyson was known as the rebel without a PhD. You you you don't have that, but somehow you studied with all these great titans of the.

• 1:17:22Speaker 03

  Yeah. What happened was I essentially completed one and I was ready to teaching. And but there's like a technicality. And then I said, I have to go to this art school in New York. And then that was a disaster and I flunked out of it. And then I should have never got back to it because I didn't need like, honestly, for my life, I've never even needed it. So I just hadn't bothered with it. So.

• 1:17:42Brian Keating?

  Yep, that was Freeman's attitude. Yeah, why like it didn't seem to harm him very much not having a PhD.

• 1:17:48Speaker 03

  Right.

• 1:17:48Brian Keating?

  But so I want to dovetail this into your thoughts on the role of VR and education. And that's because of the fact that, you know, with when I translate or when I keep saying translate, when we made the first audiobook of Galileo's ever, the dialogue, we had about 700,000 words. It's a huge book. And and so we had it and we had different actors, like I said, Carlo and me and other, you know, and so forth. But I thought, well, it would be really cool if instead of learning, you know, balls rolling down inclined planes from Professor Keating in Physics 1A here as a freshman at UCSD. If you had Galileo, the guy who invented the freaking thing of of an inclined plane, which everyone thinks is really boring, but it's genius. It's brilliant. What he did is slow down time at a time before which there were clocks. There were no clocks in. Sixteen oh three.

• 1:18:32Speaker 03

  Bizarre is there's this weird little corner in the Da Vinci notebooks where he describes a similar experiment.

• 1:18:37Brian Keating?

  Really?

• 1:18:38Speaker 03

  I didn't. Yeah, it's crazy. I was like really shocked.

• 1:18:40Brian Keating?

  I'd like to get that. See if Bill will let me borrow the Lester Codex and if he would, Jaron, that would be great.

• 1:18:45Speaker 03

  Okay, sure.

• 1:18:46Brian Keating?

  Talk to Billy and let him know. But in all seriousness, what do you see is, so I said to myself, wouldn't it be better if you had a virtual Galileo? Not this finger puppet, but you like you were there with him and he was a brilliant orator, speaker, poet, writer, artist. He was a or Leonardo, find. What do you see as the future of it? Is my profession of a guy scratching on a rock with another piece of rock? Is are my days limited? Are our days as professors limited? Is there a VR solution which will take us to a promised land of infinite delights?

• 1:19:17Speaker 00

  This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required compatibility and availability varies 18 plus.

• 1:19:43Speaker 03

  Well, right now, the technology that most people in education perceive as the big threat is not VR, but AI, of course.

• 1:19:50Brian Keating?

  Yeah.

• 1:19:50Speaker 03

  Of course, and of course, AI isn't even really a thing. AI is just a way that people connect together. And so it's really people. And so I've been putting some effort into this and I've met with people who are, you know, running universities and talk to them about it and a lot of students want that. And so there are a couple of things that are true. One thing that's true is a lot of students are faking assignments on AI as the cliche holds. But then to me, that's an indictment. Like you're going to all this trouble to go to school. If the assignment is really something you just want to fake, there's something broken at the start there. There's something that you even motivate. There's something wrong with that. But then somebody would say, oh, you're going to just make them into snowflake, whatever. They have to learn some discipline, everything. And I don't know.

• 1:20:31Speaker 03

  I mean, I kind of agree with the spirit of what Galileo said, that, you know, you have to find the thing within the person. Like, I kind of agree with that. But then there's another thing, which is teachers are using AIs to grade the papers that are fake. And that becomes like stupidity upon stupidity. And that's also real. And there, I don't know, I have some sympathy because the people, a lot of times the people who are grading are like incredibly exploited and impoverished TAs. Like, I mean, taught some undergraduate classes occasionally in recent years. And like at Berkeley, you get like thousands of people distributed across all these halls and everywhere. And it's like ridiculous. Like, what is the point of it? What is being accomplished, you know? I, I, huh, because I love working with students, but that's, that's not it. That's just some kind of formal going through the motions or something.

• 1:21:16Speaker 03

  There's something very wrong with it. But then there's more. People are using AI to submit papers, like the fake theory of everything paper we hypothesized earlier in this conversation. But then what's even worse is that they're doing, um, they're doing prompt injection in their papers. So that the other lazy reviewers who use AI to review the papers give them good reviews. Because the prompt injection caused them to, that's this huge issue already. There's like a crazy number of papers like that. And as we all know, there's too many papers to review. There's just too many papers. And it's all, that, that's gotten crazy. So yeah, we, we need to reformulate how we think about education. And my hope is, this could go a lot of different ways.

• 1:21:58Speaker 03

  But my hope is we reformulate education to be less about the transmission of information and about more about the inculcation of the right, helping people find their passion and learn how to have the character that matches their passion. I think getting people to prove they can do a skill that a cheap app on their phone or a free app on their phone can do is kind of disheartening, you know? And I have no, I had no problem with people using calculators and I have no problem. If you have a model, you can train a model to ace any standardized test where there's a bunch of examples. So it's totally unsurprising that a model can pass the bar exam or can win a silver in the math Olympiad or whatever the current thing is. I'm, none of that surprises me.

• 1:22:44Speaker 03

  The problem

• 1:22:46Speaker 03

  With both of them is you better actually understand enough about the task you're giving it that you can tell when it's screwed up because statistically it's still going to screw up sometime and you have to be able to know enough to be on top of it. So, I mean, so like the new skill set might be putting people in a room where they have to use AI model to do a math thing, but randomly one of the 20 problems is going to be deliberately wrong and they have to be able to catch it. Like that would be a skill. And then if they have that skill, then they can start to use it effectively and be controlled. Like that makes more sense than just telling them, oh, you have to be able to do this all by rook because I don't, I don't agree that there's no, there's nothing special about that as a skill. If we have tools to make that easier,

• 1:23:29Speaker 03

  that's great, but then we have to acknowledge that there's new skills and those new skills, they might be easier than the old skills. I'd like them to be, but that doesn't mean they're absolutely easy. They might still be hard, you know? So we have to just adjust the whole thing to be more about the context, more about character. And honestly, it just has to be more about joy. And I sort of hesitate to say this because I think there's so much criticism of the academic world becoming an extension of daycare and toddling kids and whatever. And I, I get that. I don't think that's the same idea, though. I don't think joy and laziness are the same thing at all. In fact, some form of joy that isn't lazy should be the point of education. Shouldn't it be that? That's what it should be. So we have, I don't know. Anyway, this is-

• 1:24:10Brian Keating?

  Well, how are you teaching your daughter? Or how would you teach a young, you know, a lot of our listeners have children. How would you teach them to interface both with AI and VR?

• 1:24:18Speaker 03

  Well, look, my daughter can speak for herself at this point. She is an adult and my impression is that she's not too impressed with Silicon Valley and-

• 1:24:29Brian Keating?

  I wonder where she got that from?

• 1:24:30Speaker 03

  She has, yeah, I, I don't think that's the path that she's going to go down. But I have most, most of, I don't, I'm not a teacher these days, although I like it, but I am a mentor for interns. So I bring in graduate student interns to the lab and I love doing that. It's one of my favorite things. I sort of wish I could devote more to it, but I have, you know,

• 1:24:49Brian Keating?

  Right.

• 1:24:50Speaker 03

  a mixture of duties. So I, I can't do as much of it as I like, but I love it. I love it. And honestly, I think at that point, like when somebody's a graduate student intern, what I tell them is like, you're a grown up in a real lab. Like I'm not gonna like- You, I'm not gonna say a lot, like you have to figure it out, like you have to, you, this is your time, like you have to be able to take risks and be creative now, because later on, whether you're a junior faculty somewhere, or an engineer at a company, or whatever path you take, you're gonna find more and more constraints and demands that might not be as straightforward. Like, this is the time for you to, like, really dive in and do something special, make something, take a risk. Most of, most of the ones I've had have really

• 1:25:32Speaker 03

  gone on to do great things, and I really, it's like one of my favorite things, I really love doing it, yeah.

• 1:25:38Brian Keating?

  So, um, uh, this, uh, we, we don't have to talk about it if you don't want to, but you, you do mention your, your mother's passing in the book. I wonder if I could ask a couple of questions peripheral to that, if you don't mind? If not, we don't have to.

• 1:25:51Speaker 03

  That's alright, that's alright, I'll call him again, that's fine.

• 1:25:53Brian Keating?

  Okay, so after that event, you describe the event in your life, you lost your mother at a very young age, and you describe it very tenderly, and obviously she had a huge impact. Uh, she had survived the death camps in, in, uh, in Europe and, and come to America. And you quote from, actually, it's my Bar Mitzvah parsha, which for odd reasons, I, I was an altar boy in the Catholic Church when I was 13 years old. So I never had a Bar Mitzvah at 13, I am Jewish on both sides. But, uh, but I did have it when I was 52, and I went to the Kotel, the Western Wall, with my wife and kids, which made me one of the few Bar Mitzvah boys who brings his, his wife and kids to his Bar Mitzvah. But, um, while I was there, I read the portion in, at Savin, which is, uh, about you are, you know, bearing witness

• 1:26:36Brian Keating?

  to the fact that God has put before you blessing and curse, life and death, so that you may choose life and not death, so that you may be blessed and not.

• 1:26:45Speaker 03

  That's right.

• 1:26:46Brian Keating?

  Right? So you quote that, wh- why was that such a big impact on you? Was it the nexus of that quote and the essence of free will? By the way, it's this week's parsha of the week, as are coming up soon.

• 1:26:57Speaker 03

  I know, I mean, I think it's a, it's a wonderful passage, because what it does is it, it just points out how this whole thing of being here in this plane of reality, this whole thing of being here in these bodies, it's like actually a giant leap of faith. Like, we sort of pretend that this is all something that you can understand. On nerdy terms, like we're just phenomena and that there's just physics and we're just here. But actually, it is a choice and it's a kind of a mystical choice to to continue with this thing. And I think that's a remarkable insight. I so I found I found that to be a really important and kind of a lot of times the most profound comments are the simplest ones, and that is one of the simplest possible ones.

• 1:27:38Speaker 03

  And yet it's it's remarkably deep and and and kind of endless to explore.

• 1:27:46Brian Keating?

  Hmm. When you obviously, you think a lot about, you know, ethics and and your fellow human beings. And I'm, you know, that's impossible to disconnect from, you know, the philosophy of the Torah and the Talmud, as we discussed earlier. But when you look around the valley, you know, from your perch over there in the mountains, do you have a sense that, you know, that they're seeking sort of a a digital shamayam, a utopia, with, you know, some master simulator being, you know, Sam Altman or somebody else or or in control of things? Or what are you worried about most? I know you've you have spoken a lot about it, but today we've been a little bit more obscene to your optimistic side. So I want to maybe not bring out, you know, unduly so your negative side or pessimistic.

• 1:28:28Brian Keating?

  But what are you worried about in terms of free will and choice getting eroded due to these?

• 1:28:32Speaker 03

  I don't have a separate negative and optimistic side. I think I'm just misinterpreted sometimes like I do. Do I think a lot of what we say and do in Silicon Valley is really dumb shit? Yeah, I do. I really do. And I say so. That doesn't make me a pessimist if I like what I would say is that the real pessimist is the one who acquiesces. The critic is actually not the pessimist. The critic is the one who thinks things will be better, you know? And so anyway, yeah, I do think there's a lot of stealth religiosity in Silicon Valley ideology. A lot of it feels like the medieval Catholic Church. A lot of people kind of seeking, I mean, it's like weird. It's like you have to say nice things about the AI because otherwise the AI will strike you to hell

• 1:29:16Speaker 03

  when it becomes all powerful and uploads everybody, which is the Rascals Vasileus thing. That's so medieval. Or we have to wait for the AI. I'd arrive and it will totally transform everything. And either you're with it or you're against it. And that's so, so the rapture, you know, and like there are all of these weird ideas. And then also these little arguments about AGI and all these things that are supposed to be the only conversation you can have are so scholastic. They remind me so much of the angels on the head of the pin. So this is a weird Catholic thing, and it's even among people who aren't Catholic. But I guess Catholic thinking was just around a lot or so. I don't know how that happened, or maybe it's just something that we come to independently because it's at the medieval Catholic Church is somehow.

• 1:29:58Brian Keating?

  Backreacting.

• 1:30:00Speaker 03

  Well, maybe there's some way that the medieval Catholic Church itself was reacting against the earliest intimations of the Enlightenment. And like, you know, when you like the priest, he destroyed one of the Anata's notebooks or something like that. Like, there might have been a reaction against the earliest intimations of the Enlightenment that turned into this thing that also becomes a reaction of a certain weird kind, even though it's in this case, coming from within the tech community. I don't really know. Like, you can go on and on with ideas like that. I, I, I don't, I don't have, I don't think there's any certain way to express something like that. But there's some kind of, there's some kind of dark little maze of things like that that probably holds some truth.

• 1:30:40Speaker 03

  I see it a lot in Americans. I see it a lot in very nerdy Europeans. I see it a lot in people from Chinese AI culture. I don't see it as much from the Indians, although a little sometimes, sometimes I don't see it.

• 1:30:58Speaker 03

  These are really interesting. If I, if I've already canceled for that comment about your teenage girls, I guess I can afford to say that. These are a phenomenon I've seen repeatedly where there'll be a woman who shows up in AI circles, who wants to out AI the men in terms of this sort of nerdy cosmology, eschatology stuff, you know, and will be like the most hardcore, like we're all just programs. We're going to be incorporated into the big program and all that matters is supporting the big program. And that, that like, you'll see a woman do that to just outdo the guys. I see that, that one. Often. And yeah, I don't know. I mean, I don't think it's helpful. I really think

• 1:31:38Speaker 03

  that technologists have such a huge impact on the world, maybe more than any other class of people. And more than anything else, we should try to approach it with a spirit of serving humanity and being humble about it, you know. Not, I mean, not that that's easy to do. I know I have an ego like all the other techy boys. Yeah, of course. But I just, I just think that's, that's what our ideals should be anyway. And, you know, but that's, that's the culture. Yeah. That's, that's, that's my world. These are my people.

• 1:32:10Brian Keating?

  Okay, a few more questions before we wrap up. You've been very generous with your time. So I'm sure you're aware that Ray Kurzweil also lost his father, you know, maybe not at quite a young age as you suffered a tragedy. But after his death in 1970, Ray started to collect all of his speeches, musical scores, financial records, photographs, home movies. He's written extensively about this. He says he has 50 plus boxes of it, and that he wants to basically make a digital simulacrum of his dad. And I find that very touching. You know, a lot of what Ray says, I take issue with just because, you know, I don't know if he's pitching me a vitamin supplement, or, you know, to get to the singularity or not. But, but when you look back, again, if you don't want to talk about it, we don't

• 1:32:55Brian Keating?

  have to. But, but on your mother's passing, has there ever been a notion or desire, at least in your mind, to want to interact with her? And that perhaps there could be a virtual, you know, version of her?

• 1:33:08Speaker 03

  I have a few things to say about this. One of them is just, is just interesting, but the other one's really important. So the interesting one is, these days, I know, so I used to know Ray, of course. He's a generation older than me, and so he was already more established when I showed up around MIT as a kid. And I like Ray. We disagree about all this stuff. It's all fine.

• 1:33:29Brian Keating?

  Me too, yeah.

• 1:33:30Speaker 03

  It's all fine. But these days, I know his daughter, who lives in Berkeley, and she's written a cartoon novel about growing up as Ray's daughter, which is very touching. So I'd recommend that to people. You can find it. And so, which is a very different take on how to encounter your parent. In my case, I don't have, for various reasons, I don't have remotely enough information about my mother. So I know very little about her. And, oh, God, I don't want to start crying on the podcast. But anyway. Here's the important thing to say, which is that one of the greatest fallacies about AI is that it's just this thing out there that's just ambient and now we'll be able to interact with it. No, AI is always made by people and because it's so computationally expensive and it's such a big thing to do, it has to be made by some organization with resources.

• 1:34:15Speaker 03

  That organization becomes super powerful because network effects tend to concentrate power more and more in the central nodes of a digital network. The less friction there is, the more network effect there is. So therefore, the people who get to own the big AIs like, you know, Grok or us or whatever, tend to become like all powerful and everything else becomes a feeder to them. And so the thing is, if you're interacting with a simulate with a fake lover or a fake god or a fake therapist, which are big ones now, or a fake parent, what you're really interacting with, inevitably until some total transformation of human affairs, is some big company that runs it, that has interests that override yours and you're doing it for their benefit more than yours, intrinsically and unavoidably.

• 1:34:57Speaker 03

  So it's impossible for you to have an AI lover or god or simulated parent. All you can have is a version of that brought to you by a company whose interest comes before yours as a matter of fundamental fact. Get that, understand it before you go down this path. If that's okay with you and you're into it, I'm not going to tell you what to believe. I'm not going to tell you who to love. I'm not going to tell you how to remember your parent. But understand that reality or else fool yourself and be an idiot. You just have to get it.

• 1:35:33Brian Keating?

  Hmm, very powerful. Yeah, I mean, I do see it having benefits. You know, there's because women outlive men, you know, by at least 10 years in the United States. You know, there's a cohort of women that are.

• 1:35:48Speaker 03

  Have you seen, have you seen the memos from inside Meta from just the last week about their policies about, oh, well, they have permissive policies about AI seduce.

• 1:35:56Brian Keating?

  Of course, yeah. Rapacious, rapacious. I think you mispronounced rapacious.

• 1:36:01Speaker 03

  I'm just saying, the hypothetical of this thing being this neutral AI thing that's there for you is interesting. The actuality on this planet is it's always in the surface of whoever operates it. There might be a company like Meta, XAI, whatever that thing is called, which are run by single individuals, they aren't run by normal governance. It might be the Chinese Communist Party. That's right. But it's not like there is no option available that isn't like that, nor will there nor can there be for a long time because of the resource intensiveness of running these things. You just have to understand that. I'm just asking you to perceive reality here.

• 1:36:41Speaker 03

  No judgment. If you perceive reality and you still are okay with that reality, you just go. Not my job to talk to you, but I really think it is your job to perceive reality. Absolutely.

• 1:36:56Speaker 00

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• 1:37:20Brian Keating?

  Okay, couple of short form questions and then we'll get out of here, Jerome. Okay, here we go. And these are all physics questions now. We covered the psychological portion.

• 1:37:29Speaker 03

  Physics, alright.

• 1:37:30Brian Keating?

  Okay, so Einstein famously used these Gedanken experiments. I mentioned one at the beginning, the free fall in an elevator, obviously traveling near a train at the speed of light, looking in a mirror, etc. He used thought experiments. He was a theorist, although he has a patent or two for a refrigerator with Leo Sallard.

• 1:37:46Speaker 03

  I know, I love that refrigerator. That's for a magnetized coolant, and it was to it was to solve a problem of dangerous coolants at the time, but it's still used in nuclear reactors. It's a great thing that he makes.

• 1:37:59Brian Keating?

  Oh, wow. I didn't know it was used in reactors. Okay, alright, cool. So I'm gonna have to investigate that. So, okay, so let me let me start the question over again. Here we go. Okay, I'll be sorry. So Einstein used these Gedanken experiments, thought experiments, to bend reality and discover new laws of physics. So what I want to know from you is, in the abundant future of VR, how could we use that as a physicist? You know, I find, I didn't get to tell you my second Keating test after, you know, committing suicide for an AI. But but the second one is really, do we discover some new phenomenon of physics? Or even a retrodict? You know, it's not even Clear that an AI, our Turing test, you know, kind of could be considered past if it can't even correctly retrodict things like the anomalous perihelion in advance of Mercury. But let me ask you this question.

• 1:38:43Brian Keating?

  Can VR, do you see VR as being an indispensable tool to a physicist the way a slide rule used to be? Or, you know, or a simulation, you know, or a large scale, you know, supercomputer is today?

• 1:38:55Speaker 03

  I have to answer honestly that if you'd asked me this question in 1981 or something, I would have had an extremely confident certainty that of course it will be. And I would have thought it would be by now, but in fact, it only occasionally has one of these physics. Occasionally, there've been a few educational things, a few simulations of relativity and quantum effects in VR that I think have helped some students. I think occasionally there's been some data visualization in VR that's been helpful. It certainly can be fun and beautiful. I still kind of think something's going to come together with that, but it hasn't. I would say in a real important way, not, not as yet. So we have to leave that as an uncertainty for the future.

• 1:39:38Brian Keating?

  Okay. So recently I heard past guest on my podcast, Sam Harris, you know, crediting you with his, you know, excision, his exodus from Twitter. What do you make of social media? Can you give us a capsule kind of summary of the case against it, please?

• 1:39:52Speaker 03

  A hypothetical version of social media with different incentive structures built in could be quite a lot better than what we have today. The, the social media we have today, totally aside from any comment on the individuals who run the platforms, although in some cases I wish they were different. The incentives tend to be about driving attention. And when you drive people's attention artificially, you do tend to make people sort of irritable and hyper, hyper excited. And, and it's just a bunch of side effects of it that are really negative. You know, unfortunately, we can't imagine the social media we might have someday. The network effect issue is very central to this because I get emails every day without exaggerating for people saying,

• 1:40:37Speaker 03

  We've started this new social media platform that's going to be good. It solves all these problems and the problem is I can't get any momentum on it because everybody's already on the other ones. And there's this coordination problem. We can't get everybody to move at once. I think a whole lot of the people who are on X now wish they weren't, but they're there, you know? And what are they supposed to do? And you know, blue sky is cool, but you know, it's so hard to start something like that and start to get any traction on it. So these things tend to be really persistent. TikTok took advantage of one of the rare moments when you can shift a bunch of people to a new platform, which is when they're just young and coming up, or there's some major division like language or something that allows you to do it or law. But it's a hard, it's hard. It's just really hard to get people to change.

• 1:41:21Speaker 03

  And the current ones just make people into assholes, you know? Yeah, make people into irritable assholes gradually, maybe not instantly, but eventually they'll get you.

• 1:41:30Brian Keating?

  And yeah, I mean, the infinite scrawl and, and the, you know, kind of the, the opposite of, as you've talked about quite frequently, you know, attention is the commodity and you're the product if you're using these things. And I say this as a, someone who is, you know, pretty much addicted to, to X. Although I do, I have used it quite successfully to engage with Nobel Prize winners and guests on the podcast.

• 1:41:51Speaker 03

  Oh, sure.

• 1:41:52Brian Keating?

  You know, and, and try to keep it kind of benign and, and not get too, you know, dragged into it. Although I did have on Elon, you know, on the podcast once and kind of baited him into it on Twitter and so forth. But it was kind of a non, a non.

• 1:42:07Speaker 03

  Well, I mean, I'd written a piece in the New York Times suggesting that a number of people, including Trump and Elon and some others had experienced personality degradations that weren't part from Twitter. And I actually think that's true because Elon used, Elon used to be a better guy, honestly. He just was, you know, something happened there and I don't know.

• 1:42:26Brian Keating?

  Well, you know, he's rumored to use some other substance.

• 1:42:29Speaker 03

  Yeah, whatever. I don't, I don't know though, so I can't.

• 1:42:31Brian Keating?

  Although you, you mentioned Feynman did some substances. It didn't seem to affect him too, too negatively, but that was.

• 1:42:37Speaker 03

  It was close to the end of his life after he'd already had his cancer diagnosis and he wanted to try things. I don't, anyway, I don't, I don't know. I, I, I don't like to talk about things where I don't really know.

• 1:42:45Brian Keating?

  Yeah.

• 1:42:46Speaker 03

  But I'll tell you a joke though. So there's, I have a joke about the Turing test and the joke is that. All the Turing test tells you is whether you can differentiate the person from the computer, right?

• 1:42:56Brian Keating?

  Right.

• 1:42:57Speaker 03

  It doesn't actually have any objective measure of intelligence or any other quality. And that was the whole point of it was that there isn't any objective. We don't have a consciousness meter. All we have is this ability to discriminate. So that was Turing's idea.

• 1:43:11Speaker 03

  And although even Turing's idea is much more complex than it's given credit for. If you read.

• 1:43:15Brian Keating?

  Yeah.

• 1:43:15Speaker 03

  Anyway, but that's, let's leave that aside. So here's the thing, in order to enact the Turing test, you need two people and one computer because you need the, the human contestant, the computer, and then the human judge. Two people, one computer. So the Turing test cannot distinguish whether a person, whether the computer got smarter or the person got stupider because either event would cause the Turing test to be passed.

• 1:43:39Brian Keating?

  Right.

• 1:43:39Speaker 03

  But there are two people and computers. So there's a two thirds chance that a person got stupider and only a one third chance that the computer got smarter. And that's a joke. It's not rigorous, but the reason I like to use it is that on social media, I, as an estimate, some minority of times, and I'll just say to be generous, a third of the time, social media is great and elevates people and two thirds of the time it makes people into wimpy, you know, cynics and, and irritable contestants with one another.

• 1:44:13Speaker 03

  So two thirds, one third. So I don't want to deny the reality of that one third. Like, I think there's a lot of good stuff that happens on it and I would never deny that. I don't want to go on it because the two thirds is also real. So that's, it's a joke, but I think it's a, it's a reasonable heuristic.

• 1:44:27Brian Keating?

  I have a joke for you. You ready?

• 1:44:28Speaker 03

  Okay, I'm ready.

• 1:44:29Brian Keating?

  All right. How do you know an engineer, a VR engineer is outgoing?

• 1:44:35Speaker 03

  How do you know?

• 1:44:37Brian Keating?

  He looks at your virtual shoes when he talks to you.

• 1:44:43Brian Keating?

  All right, you could use that anytime you wish. All right, last question, last question, my brother. Okay. The last question I have is one that is sort of a riff on Arthur C. Clarke. So the podcast into the impossible derives from his monition or admonition that the only way to know the limits of the possible is to go beyond them into the impossible. That's how we go. We talked about how podcasts comes from that. He has many great sayings, including, you know, for every expert, there's an equal and opposite expert. And of course, you know, any sufficiently advanced technology is indistinguishable from magic. So I have two final questions ripping on that. What is the most magical technology you've ever encountered?

• 1:45:19Speaker 03

  I mean, language is still unexplained. The fact, I mean, the fact that we can train a large language model and the thing works at all indicates that there's a lot going on in language. I think it's an amazing invention. I think it's an astonishing and an unappreciated thing. You know, I just think we're, we try to focus on our software as a special thing, but really it's the language itself that's the special thing.

• 1:45:43Brian Keating?

  Yeah, I agree. Okay, last question, also from Sir Arthur's, you know, vault is the following. When an elderly, I'm not calling you elderly, my friend, but when an elderly and distinguished-

• 1:45:55Speaker 03

  Yeah, okay, go ahead.

• 1:45:57Brian Keating?

  When an elderly and distinguished scientist says something is possible, he or she presumably is very much likely to be correct. But when he or she says something is impossible, they're very much likely to be wrong. I want to ask you, what have you been wrong about? What have you changed your mind about? What thing did you think was impossible came out to be true?

• 1:46:17Speaker 03

  In the early days of the internet, I was saying things very similar to what I'm saying now. And then there was such a fever pitch of enthusiasm for set of things I was really skeptical about that I went along with them for a while. Like an example was pirate culture of like, let's just make music free and all that. And now what that really turned out to be, as well as the open source movement, for all of the admirable qualities and all the, everything that people love about them is in a way true, but they also just, because of network effects, they create more and more centralization of wealth and power in a few digital hubs like Google. And other people tend to become impoverished with only sort of misleading examples of the occasional influencer or YouTuber who does well or something. But overall, the whole community of musicians, for instance,

• 1:47:02Speaker 03

  sink down instead of, you know, and Spotify is not, is no substitute for mechanicals. I'm sorry. I've been a professional musician a lot. I- It's just not even in the same zone. So the thing is, um, I, I allowed myself to get carried by, uh, popular. Another one is I was anti-nuclear. I got, I got arrested at a nuclear power plant when I was a teenager and stuff, because I thought every, that was just the side of the angels was being anti-nuclear. And now I'm thinking, oh my God, we set back research we really need now because of climate change. Like that, like, we really blew it. And I knew better. I knew physics. Like, what was wrong with me? And it was just, social pressure was so intense. And, um, that doesn't mean that everything about the anti-nuclear movement was wrong. Yeah, sure. The nuclear energy world was filled with corruption and all kinds

• 1:47:47Speaker 03

  of problems and a lot of, I mean, like, but the point is what we did, we, we were so effective socially that we created a, um, uh, we created a kind of a black mark on this whole thing that now we really, really need. And if we've been doing more research all these years, I think we'd be in a better place. And it really kills me.

• 1:48:06Brian Keating?

  No.

• 1:48:07Speaker 03

  Um, and so, I mean, I think, I think a lot of the, like, I don't regret just being technically wrong about something, because what can you do?

• 1:48:14Brian Keating?

  Yeah, exactly.

• 1:48:15Speaker 03

  But I do regret being swayed by social pressure.

• 1:48:18Brian Keating?

  There was a girl involved, if I remember, maybe.

• 1:48:20Speaker 03

  Oh, yeah, there's always a girl. Once again, I know, I'm gonna get canceled.

• 1:48:24Brian Keating?

  All right, that's three cancellations. All right, so we gotta be out of here. The Ayn Hara, the kind of, the Ayn Hara, we got the poo poo poo it. All right, Jaron, thank you for reminding us. Thank you for all you do, my friend. Thank you for reminding us that technology is never just about circuits and code. It's about what kind of humans we want to choose to become. And so, from VR as a new physics lab, to the ethics of AI, to the ancient command, to choose life, you've given me and my audience ways to choose wonder and heed warnings. And I think, listening to Jaron and learning more about him is such a delight, and I'm glad that we exist in the same reality together.

• 1:48:58Speaker 03

  Thank you. Likewise. This is really fun. All right.

• 1:49:02Brian Keating?

  Bye, my friend.

• 1:49:03Speaker 03

  Okay, bye.

• 1:49:03Brian Keating?

  Take care. Thank you.

• 1:49:04Speaker 02

  If virtual reality is about expanding reality rather than escaping it, what should we do with all that power? That's the question Jerome left us with, and it connects directly to another uncomfortable conversation I had recently. And I know if you enjoyed this conversation about technology and consciousness, you'd need to check out my conversation with Donald Hoffman about the case against reality. Don argues that reality itself may be a kind of interface, a cosmic VR system that evolution designed to keep us alive rather than to show us the truth. It's the perfect companion to today's discussion about perception, virtual worlds, and what consciousness actually is. Click that episode here and don't forget to like and comment and subscribe.

• 1:49:43Speaker 06

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• 1:50:13Speaker 07

  Now, more than ever, we need someone on our side. But Rob Whitman? Whitman's votes drove up costs, cut Medicaid, and risked 350,000 Virginians healthcare to pay for tax breaks for himself and his donors. He's not on our side. Shannon Taylor will fight corruption, cut taxes, and bring down costs. This November, vote for Shannon Taylor. She's for us. Paid for by HMP, the HouseMajorityPac.com. Not authorized by any candidate or candidate's committee.