Ask the Mates anything | MOONSHOTS AMA #289

The mates sit down for an AMA to answer audience questions and dive into the latest developments across AI, technology, and the future. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Salim Ismail is the founder of Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – This episode is brought to you by: Get the blueprint for generative media https://goo.gle/startupgenmedia Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: https://www.fountainlife.com/peter _ Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Join Salim’s 10X Shift Subscribe to Salim’s YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack Spotify Threads Listen to MOONSHOTS: Apple YouTube Follow MOONSHOTS: Instagram TikTok X Threads – *Recorded on September 8th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. 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.

• 0:00Speaker 00

  I've been working in AI for 42 years and this question is directed to my hero AWG. I haven't been this excited since my wedding night to meet you, sir.

• 0:09Speaker 01

  I don't know how to take that.

• 0:12Speaker 01

  If I look at this progress, how close or how far are we to really say that the AI is going to get consciousness?

• 0:18Speaker 02

  The top-down theory says that we're like localized antenna for consciousness and we connect into it. But there's no reason why AI at some point can't tune into that same type of phenomenon.

• 0:30Speaker 03

  I just turned 18 and I started an AI startup business with my dad.

• 0:34Peter Diamandis?

  I hope a lot of 18-year-olds listening are going to hear what you're doing and try and emulate you.

• 0:39Speaker 02

  I wish I was goddamn 18 today.

• 0:41Peter Diamandis?

  We're working on it.

• 0:44Speaker 05

  Do you leave any room in your analysis for an all-powerful, all-knowing sort of ultimate intelligence?

• 0:50Speaker 02

  Either there is no God and we're just moving towards a wonderful future driven by technology, or there's a simulation and in which case it kind of doesn't matter anyway.

• 1:02Peter Diamandis?

  Now that's a moonshot, ladies and gentlemen.

• 1:06Peter Diamandis?

  This episode is brought to you by the Abundance Summit and Link Ventures.

• 1:12Peter Diamandis?

  Everybody, welcome to our first Moonshots AMA. Hopefully we'll do this on a not-too-infrequent basis. Can't promise the time right now, but it is wonderful to be spending time with all of you. We already have 300 people on the Zoom, over 1,000 people registered. And this is a chance for all of us to get a chance to meet you guys and really get feedback on Moonshots. We've got here with me our very own ASI AWG Alex. Hello. Good to see you, pal.

• 1:47Speaker 06

  Good to be here.

• 1:49Peter Diamandis?

  You do not disappoint in your normal VR background there.

• 1:54Speaker 06

  We do what we must because we can.

• 1:56Peter Diamandis?

  Yes, and Dave, here you are, your normal haunt, and Saleem.

• 2:00Speaker 07

  My one.

• 2:01Peter Diamandis?

  Yes, Saleem, where on the planet are you, pal?

• 2:04Speaker 02

  I'm home. I'm home.

• 2:05Peter Diamandis?

  Amazing.

• 2:06Speaker 07

  Yes. We don't even recognize that it's so rare.

• 2:09Speaker 02

  Everybody's like, where are you?

• 2:12Peter Diamandis?

  Well, everybody, thank you. You know, I want to say that we read your comments and the outpouring of support and love means a huge amount to us. And it really drives us to do all that we can do. And so our agenda here today is to answer your questions and we're going to do that as much as we can. Use the raised hand emoji and we'll go person by person. I'll call out the name and you can unmute. You can also put questions in the chat and we'll try and monitor those. Great. And I'm going to ask my Moonshot mates to keep our answers as succinct so we can get through as many as we can.

• 2:54Peter Diamandis?

  And I think we scheduled this for an hour. We're going to go 90 minutes, give you guys some extra time. Yes, we are recording this, so everybody, if your camera is on and you're speaking, you're being recorded. We may, we may post some of this, so please, if you don't want to be recorded, turn your camera off and don't ask questions. Okay, with that, Dave Morris, your question, where are you calling in from?

• 3:20Speaker 07

  Going to Bridge, obviously.

• 3:22Speaker 08

  Oh, there you go. Yeah. Well, it's in Sydney, Australia, so it doesn't really look like that behind me. Good morning, all. And firstly, thanks for everything that you guys do and it's such a refreshing podcast. And I'm sure everyone on today is in the greens with that. Quick question from my side of things. I feel like Australia is really lacking and falling behind the AI space. Just having conversations and to Saleem's comments the other day in the latest podcast when he talks to CEOs and that everyone feels like they're too busy to even think about it. It is an abnormal thing in their businesses. And I think that's the biggest thing that I'm struggling with at the moment.

• 4:05Speaker 08

  It'd be great to get your feedback on that about how to break through the challenge of, you know, the rush that will come down the track.

• 4:15Speaker 08

  But it's more this initial side of things that I think is really a struggle at the moment. And you know, as a single entrepreneur, that's probably the biggest challenge that I'm facing at the moment.

• 4:25Peter Diamandis?

  Saleem, over to you.

• 4:27Speaker 02

  So, first of all, great to be with all of you. This is amazing. So really thrilled when we get actual faces to names and comments, et cetera, et cetera. I wouldn't worry about too much whether Australia is behind, you know. When you're, if in an exponential age, feeling behind can feel terrifying. But the good news is you can leapfrog really quickly. And I talk to CEOs a lot who are like, oh my God, how are we going to keep up? Especially in emerging markets and places like Australia. In the US or Europe or Japan, we have to unlearn 50 years of Harvard MBA thinking and relearn new models, right? Whereas in emerging markets and places that are a little bit distant, you can literally jump over everybody else.

• 5:10Speaker 02

  The infrastructure is kind of mostly there now, right? It really comes down to completely a mindset problem. And, and you know, Australians are pretty crazy, but we know that for sure. So there's no reason now not to kind of jump over that and think through that. Also, you have the opportunity in being a little bit further away of really experimenting with new structures. And, and, and that gives you a place to play and a playground to kind of tinker. The last thing I would say is for everybody involved, we tend to over-schedule ourselves. You want to make sure you create deliberate slack in the system.

• 5:48Speaker 02

  Give yourself 10 or 20% of your time to just not have anything scheduled to allow experimentation, playing with new tools, meeting new people, et cetera. If you wait till you have spare time, you'll never catch up. You'll never start.

• 6:04Peter Diamandis?

  Thank you so much. Let's move on to next. Cynthia, Cynthia Smith.

• 6:08Speaker 09

  Hi there. It's so great to be with you guys. I'm such a big fan. And I'm also, Peter, I found out about you through Stephen Kotler because I've been in Catalyst and working in that domain. So I have made a living as a coach and consultant, pivoting as fast as I can.

• 6:28Speaker 09

  The, the world that I have, have worked in and what I'm fascinated about is all the inert stuff, the mindset stuff, people's capacity to learn and absorb and, and dance with change. And it, it just, you know, we're at this situation where things are evolving exponentially. And as fast as we can adapt AI and whatnot, there is, there seems to be a limitation on how fast we can absorb information and how fast.

• 7:02Peter Diamandis?

  Our input-output mechanisms have a baud rate, right?

• 7:06Speaker 09

  Yeah, they do. They do. So I'd love to hear about what, you know, that whole interface type thing. Yeah.

• 7:13Peter Diamandis?

  So it's, it's the realm of, there are two, there are two interfaces that are going to change things. One is when your own AI understands your desires, your needs, what's going on, what you know, what you don't know, and is able to filter and summarize for you better than you can filter and summarize for yourself. So that's one interface that will make things more efficient. The second, of course, is BCI, the Brain-Computer Interface, right? And right now, if I asked you to think about a rabbit, a preformed concept of a rabbit comes into your head, whatever it is. There is the potential in the future where BCI will help you by providing preformed concepts

• 7:57Peter Diamandis?

  that you never learned, but they're known by an AI ecosystem out there and delivering them directly to you. So I'm an investor and advisor to three BCI companies right now. Ray Kurzweil just introduced me to another one, which it sounds amazing. And I'm meeting the CEOs and it looks like an incredible woman. She's a member of my Abundance 360 community. And so I think we're going to start to see some pretty significant and rapid advances in BCI. You know, we have 100 trillion, 100 trillion synaptic connections, 100 billion neurons that we're limited by. Imagine if you could have a third corpus callosum, a third part of your brain exteriorized. So I think those are the two things that are going to help us.

• 8:43Peter Diamandis?

  And Alex, you're the one who first said, you know, we're going to either couple with AI and ride along with it or be left behind.

• 8:52Speaker 06

  Or both.

• 8:53Peter Diamandis?

  Or both.

• 8:54Speaker 06

  Both, both could happen in the same world. Both probably will happen in the same world. Yeah. We'll have BCI's, we'll have full-dive VR, we'll have uploading, both of humans and non-human animals. I think all of these will coexist over the next few years.

• 9:08Peter Diamandis?

  So Cynthia, that's a quick answer for you. I hope that helps a little bit. I'm going to keep us marching as many people as we can, if that's okay.

• 9:14Speaker 09

  Yeah, yeah. Well, the pitfall that I think is, I fall into is, at least right now, the LLMs are prediction machines. And I'm more interested in the emergent latent space, a-haz, off the beaten path, kind of sparking creativity. So, so that's.

• 9:35Peter Diamandis?

  We just recorded an episode today that's coming out tomorrow that, that says, well, AIs are actually probably being inventive. And so prepare, prepare for that.

• 9:47Speaker 06

  Also, maybe Peter just take the bait once and for all. This is a misconception. Reasoning models at, at this point, I don't think it's accurate to characterize them as prediction machines or stochastic parrots. They've been so thoroughly reinforced and fine-tuned off of reasoning challenges. To say that they're prediction machines is tantamount to saying basically that they're incapable of novelty or insight, which is most definitively not true at this point.

• 10:16Speaker 09

  Yeah, yeah. Great. Thank you.

• 10:17Peter Diamandis?

  This episode is sponsored by Google for Startups. Think about this for a second. You now have access to the same generative AI models that cost hundreds of millions of dollars to train. Google's Startup Tactical Guide for Generative Media gives you a complete blueprint for deploying Google DeepMind's models in production. Images, video, audio, all of it, real architecture, real results. Find the link in the show notes below.

• 10:45Peter Diamandis?

  All right, John, you're next. Where are you calling from?

• 10:49Speaker 10

  Sydney, Australia, Peter. Yeah, it's

• 10:51Peter Diamandis?

  All right, Australians are in power here. That's great.

• 10:54Speaker 10

  Yeah.

• 10:56Speaker 10

  Power to everyone. It's pretty cool. I got a couple of chances to speak with you on the AMA for your book with Stephen Kotler. So it's great to get the opportunity to chat again. And I've been following Moonshots for a while now. It's been inspiration since I went to a Singularity University gig about, what, 10 years ago in Australia? So it's been inspiration. So my question, and I'm a fan of everyone, but my question for yourself, and especially around longevity, because that's an area that's been a focus. And I've been guiding a couple of doctors. I got to speak to you on the AMA last time as well in Greece, in Athens.

• 11:39Speaker 10

  And sort of you reached out and you said, "Fell like Greeks." So that's how I remember that sort of conversation.

• 11:44Peter Diamandis?

  I see that.

• 11:45Speaker 10

  And so I'm the founder of an innovation company about 10 years ago called My Brainwave. And so I like to help people make ideas real. So that's been a real passion. And so one of the things I'd like to understand, you know, what role do you see trusted local physicians playing in bringing Fountain Life? Because I see the ads each time, and it's really promoting awareness of longevity. So bringing physicians, you know, to get a playing a role around Fountain Life's longevity approach to bring it to an international audience. And this is a great forum for that. So that'd be keen, because Egley's the clinic in Greece. And they're pretty keen on taking some of those learnings and bringing it to their audience in Greece.

• 12:30Speaker 10

  Yeah. What role do you see?

• 12:32Peter Diamandis?

  To answer that quick, Fountain Life is going to begin a franchising model. So right now, we've built five. We're building two more in the US. And then we have a partnership to put them into a group of resorts called the Estates. But what I really want to do is enable the operating system and the AI systems we build to be franchised. I think that's probably at least six to nine months away from being an open call for interest. But I, you know, I've been to Greece to talk with a number of people about getting a Fountain Life Center in there.

• 13:11Peter Diamandis?

  I'm hoping that Greece will set its purpose beyond just olives and shipping to longevity as well. So I'm a fan of that. So, thank you, John.

• 13:26Speaker 10

  No, thank you, Peter.

• 13:27Peter Diamandis?

  Appreciate it. And I apologize. We have, we have 80 hands raised, so I'm going to keep moving us along here. And no disrespect to everybody. Matt, hello. Where are you calling from? Your question, please.

• 13:40Speaker 11

  I'm calling from Terre Haute, Indiana. I was on another AMA with you before, and I fumbled through my question. So I actually made a script, so I don't mess up everybody's

• 13:51Peter Diamandis?

  Take your time.

• 13:53Speaker 11

  My question is really for myself, but I feel like there are some Australians on here. So I think that my question is for myself and people around the world, and particularly in Middle America. I really believe like a lot of like what you guys are saying. And I love like when Dave talks about like with energy about, you know, these startups and everything like that. But my question really breaks down into a couple of parts. So a lot of the conversation is focused around the one way for 22-year-olds, maybe working 80-hour weeks, 80-hour work weeks. What is the playbook for kind of experienced mid-career professionals in places like the Midwest?

• 14:35Speaker 11

  Who have deep domain expertise, the energy and the desire to build, but also have families, mortgages, real constraints, like maybe a location? And then, you know, how do we, how do we best leverage these exponential tools to break through without like kind of blowing up a baseline of security?

• 14:55Peter Diamandis?

  Dave, you want to try that?

• 14:56Speaker 07

  Yeah, absolutely. We had a great unit on today's podcast that'll be out tomorrow about this franchise opportunity that Tesla just threw out there. But yeah, I think you'll learn about it tomorrow. But keep your eyes open for more and more of the AI labs giving you a playbook to get involved and succeed through, a lot of it is through franchise models, others through data collection models. So those are going to create opportunities. I think while that's happening, getting really familiar with the models. You know, just, just, you know, build your own Skippy, hack around at night, you know, try and create, you know, some of these revenue generating opportunities that you brainstorm with the AI and just fabricate it.

• 15:37Speaker 07

  It may not be what you want to do for a career, but it's a great way to generate cash flow and get involved with the models. But I suspect that this year, there'll be on the order of maybe 10 to 100 opportunities where the playbook is handed to you. And the AI labs are really, really eager for these things to succeed, to bring more of the population into this, you know, into this universe. You're going to find that very few people around you jump on the opportunity. And so the other thing you can do is try to network with, you know, Drew Houston, the Dropbox founder, said, "You become the average of the five people you spend the most time with." It's just a fact. Don't fight it. So find the five people that you most want to be like. And you may not find them geographically near you.

• 16:21Speaker 07

  So try and create three or four or five on the internet somehow that you can bond with on exactly this topic.

• 16:28Peter Diamandis?

  And real quick, I'll just add, you know, get to your favorite large language model. Describe your life in detail. I have these obligations. I have these kids. I have these mortgages. I have all of these things. Here's my expertise. Here's what I do, like what you just opened up with. And ask it. Brainstorm with it.

• 16:44Speaker 02

  Yeah.

• 16:45Peter Diamandis?

  On the margin, how much time, how much money, what can I do?

• 16:49Speaker 02

  You know, when you're, when you're young, you can take more risk. But when you're older, you have a lot more leverage. So you can leverage, use that in a heavy way.

• 16:58Speaker 07

  The other thing you can do is if you go to mercor.com and you say, "Look, I have domain knowledge. How is this of value?" And you just throw that into the system and wait and see what the AI comes back to you with. There will be more domain-specific Mercors coming out, but that's a good one to start with.

• 17:13Peter Diamandis?

  Yep. And any knowledge that you have is unique. So please take advantage of it. Anyway, thank you so much. Let's go to Ramani. Hi, Ramani. Where are you calling from?

• 17:26Speaker 01

  Hi, Peter. I'm right here in Corning, New York, but I live in Herndon, Virginia. I came over here to see the falls and stuff. I'm 60-year-old, but whenever I can't wait to listen to your podcast, when I do that, I become 16-year-old. I want to start off with that. Thank you so much. Unbelievable. Simply beyond. Beyond, I can't even express what this means to us. My soul for the family and my friends, thank you. That's what I want to first of all start off. Given, you know, I can see that the GPUs acting as a fist knife. We've got the Waver Scale Engine from Cerebras. We've got H.com's, the Soho's, the Frontier Inferno cluster coming in. And then Talos chip, which is acquired by AMD, right? The C1.

• 18:09Speaker 01

  If I look at this progress, it just makes me think how close or how far are we to really say that, you know, we have the AI is going to get consciousness? You know, I'm looking at all of that comes, the behavior simulation at scale, right? The world, right? So can you just explain your thoughts on where we are approaching? I'm eager. Thank you.

• 18:28Speaker 07

  Okay.

• 18:29Speaker 01

  Such an easy question.

• 18:31Peter Diamandis?

  Saleem or Alex, you want to take consciousness, which you guys want to?

• 18:35Speaker 02

  Very quickly, there's two theories of consciousness. We've talked about this. It's either an emergent property based on some sort of complexity, in which case AI could get there. The top-down theory says that we're like localized antenna for consciousness and we connect into it. And as we're getting more and more evidence, it seems the latter is more likely to happen. But there's no reason why AI at some point can tune into that same type of phenomena. So I think of it as a century problem more than anything else.

• 19:10Peter Diamandis?

  Okay, Alex.

• 19:10Speaker 06

  So we don't know enough to answer that yet. And what I will express confidence in is I think it's very likely neuroscience will advance so radically in the next, call it five years. And I think that's a conservative outer bound that if we have this discussion again five years from now, we'll be able to confidently even define what we're talking about. And then answer the question once we know how to pose it in a rigorous way, which I don't think, to my knowledge, no one, including Saleem, knows how to pose rigorously at the moment.

• 19:41Speaker 02

  I agree.

• 19:43Peter Diamandis?

  A big, a big question. And I'm going to move us along if I could. Again, now there are 97 hands raised. Okay, John, we're diverging.

• 19:54Speaker 12

  Hello, Peter. Calling from Port St. Joe, Florida.

• 19:58Peter Diamandis?

  Okay.

• 19:59Speaker 12

  I'd like to tell you, longtime podcast listener, and I really appreciate all the selflessness you guys have and all the hours you put in and helping us all be educated.

• 20:10Peter Diamandis?

  Thank you for recognizing that. We put a lot of time in and we love it. And we do.

• 20:16Speaker 02

  Mostly. Most of the time, we love it. Sometimes, holy crap.

• 20:21Speaker 12

  It's almost like a full-time job, maybe.

• 20:24Peter Diamandis?

  Oh, my God.

• 20:25Speaker 12

  So I'm a member of the Found Life community and Real Vision and Salim's making luck or finding luck. And so I love these AMA formats. I appreciate it. So my question ties into the Frontier Labs keep saying that they're star for proprietary operational data. And I'm a civil engineer with 40 years' experience and I have 30 years of complete project records for my company. Not just final drawings, but like the full chain from the problem definition, calculations permitting, revisions, the construction photos, everything to the outcome. I know that this kind of data is valuable. So Merckor and Scale have both expressed interest, but it's been weeks and nothing is closing.

• 21:07Speaker 12

  Is there a more direct way to get this proprietary data set like this in front of the labs? You know, actually training on the domain data without selling the archive outright or having to build the product company around it myself? Because it's awful hard to rattle that data.

• 21:22Peter Diamandis?

  Dave, thoughts, please?

• 21:23Speaker 07

  Yeah, you know, we've been reached out to by a bunch of the companies that you just mentioned, plus OpenAI, plus a couple of others. All saying, we want to, we want to write five, 10, 15 million dollar checks to buy corporations that have data outright. And so the first thing you want to do is make it easy for them to sign a check. That's, it's amazingly weird because you think writing a $10 million check is hard, right? Well, for them right now, it's the easiest thing they can do. Having a conversation is much more expensive than writing the check. So put, put yourself into a package that's easy for them to sign and receive. The other thing is when we were talking to Kevin Wheel, you know, we podcasted him twice. And he told the story about he interviewed at OpenAI.

• 22:04Peter Diamandis?

  He was a chief product officer at OpenAI, just.

• 22:06Speaker 07

  The CPO at OpenAI, he interviewed there and then he didn't hear back for weeks. So he assumed that they didn't care about him and he kind of moved on. Then he bumped into Sam somewhere like on a street and Sam said, where the hell are you? Why are you not in the office? He said, I didn't even get a call back. He said, just show up for Christ's sake. It's chaos. Show up and start collecting your paycheck. And so he's like, okay. So he went to the building. So I know that's kind of tricky advice, but they're incredibly insanely busy and it's all chaos. But if you can physically get on the ground with whoever's in charge, just go to SF. Find that person who's doing the acquisitions and meet at the coffee shop outside their building.

• 22:48Speaker 07

  And the odds of something happening go way, way, way up if you just buy the place and go.

• 22:52Peter Diamandis?

  Your advice is brilliant. Put the, you know, create a due diligence package on the web that provides everything easy to see. And what your, what your price tag is. And just make it easy for the person to like, say, okay, this looks great. Yes, I want boom.

• 23:09Speaker 12

  Yeah, they won't give prices and that's, that's the problem here is they're the experts. How do, how do we price this data?

• 23:15Peter Diamandis?

  You decide what it's worth to you.

• 23:18Speaker 12

  Okay.

• 23:19Speaker 07

  Yeah, I think, I think if you put this veneer of like a banker, look around your price tag and say, this is what it's worth and this is what it costs. They won't have the time to see through it. They'll just say, okay, it sounds like you know what you're talking about. You know, you decide what's fair.

• 23:32Peter Diamandis?

  Make it easy for them.

• 23:34Speaker 12

  Yeah, well, I, I've made it more like a sales funnel. I have regular contacts with them, but right now it's really only emails. And then when they want to video chat with me, they send me a link. And that just doesn't seem real satisfying, but having the chaos behind the scenes, you explaining that, that seems to make a lot more sense.

• 23:51Peter Diamandis?

  Understand what they're going through. Anyway, thank you so much. Let's go to Y C next.

• 23:56Speaker 13

  Hi. Um, so my question is a little bit off from the singularity, which I love your podcast. And I've encouraged my family to move away from All In to your podcast.

• 24:09Speaker 07

  Oh, come on, they're great too.

• 24:11Speaker 13

  They're great too, but you know, it's different and sometimes it can get a little political. But anyway, so my question is, um, if hypothetically I was in the public sector, I know there are a lot of people, so I'm going to try to ask this really quickly. And I spent time, let's say at Google and X, um, dealing with tech regulations, especially risk assessments. And if I were back in the public sector and looking at AI risk assessments and how to look at it from a public sector, sector point of view, how to frame risks and whether to look at it from residual risk or use cases. Um, how, how would you suggest approaching it? Obviously, you know, there's a risk of doing something too granular where you and, or something that's too bare bones.

• 24:56Speaker 13

  That won't really get at the patching that might be required if something were to happen.

• 25:02Speaker 07

  Such a great question. Alex, you're going to be chomping at the bit, I know.

• 25:05Peter Diamandis?

  Alex?

• 25:07Speaker 06

  Yeah, I think, so depending on whether we're talking about in the US, federal versus state versus municipal government.

• 25:14Speaker 13

  US, US federal.

• 25:17Speaker 06

  Yeah, I, I think the, the risk at this point is over regulation, not under regulation. So if, if I were spending a lot of time on the, the government employee side right now, that would be my primary target. I am, I'm deathly concerned that we will over regulate our way into losing a super intelligence race with China. That will also, as I frequently remark, more than 150,000 people on earth die every day. And probably the single best antidote to that will be super intelligence for solving medicine. And we harm ourselves by over regulating super intelligence, just like in.

• 25:55Speaker 13

  So.

• 25:56Speaker 06

  Yeah.

• 25:56Speaker 13

  Yeah, sorry. Just so quickly, if it wasn't necessarily regulatory, but just sort of in terms of a risk scenario. Like if there was a breach or something happened, how to identify and quickly mitigate that kind of risk, which we know has already happened, right? With mythos and everything else. So, uh, if hypothetically we're one step behind in the government than you are, let's say in OpenAI, or than you guys are having seen these risks, you know, just breaking out. Um, what would be the best approach? It is not regulations. There's nothing to do with Congress. This is about just, you know, simple but necessary steps, if you will, to address.

• 26:35Speaker 06

  I'd say hands off. There, there are so many different ways, like the, the industry is advancing through defensive coscaling right now. And very well-intentioned interests on the government side could try to, again, with the best of intentions, try to protect what they think is security or public safety. And then end up hamstringing our ability to solve honest to goodness important problems. So I would say to, to first order, single best bet is find the, the right path to a, a regulation light regime and let this, let the industry to the best of its ability sort itself out on this front.

• 27:17Speaker 07

  Let me throw some personal advice on top of that too, because we saw, you know, David Sacks from the All In podcast get dragged into the White House. Unbelievably effective in that role for a year and a huge fan of his. But then our friend of the pod, Alvin Graylin, declared himself the top expert on China AI race. And now he got dragged in for the United Nations meetings on September 24th as a top advisor to the White House. So I think in both those cases, you want to declare your expertise and say, I am within federal government. The go-to on boom. And then predict what you think is going to come next in the risks. And make sure that you study up and understand that topic because very few people really master a topic.

• 28:00Speaker 07

  But if you, if you say, yeah, I, what I think is going to happen next is a cyber breach, you know, in the treasury or, you know, just predict what it'll be. Declare yourself the person in federal government working on that. Get to know the vendors that are related to it and all of the, you know, the details related to it. And then publicize yourself as that expert. Then when the moment arrives, your name will be at the top of the queue and you'll get pulled into the solution. Very rarely will the federal government react proactively to a future risk. It's crazy, but at least you can be first on the ground when it does hit and get pulled in right away to the, usually it's the crisis team.

• 28:36Peter Diamandis?

  The, the other approach is also to form a team and reg team it on a constant basis. So the team starts things non-stop about what would they do if they're on, on offense? And that gives you insights to think about.

• 28:49Speaker 07

  You know, also nowadays, writing documents is so cheap and easy because, you know, you can use AI as your, your writer. Now, if you, if you identify like the top 10 most likely threats that are going to happen and write documents on all of them with your name on them and just, just have them online, ready to go. Then when they go into panic mode, they'll be like, does anyone around here know about blah? They'll search it up and it'll come right to you.

• 29:10Peter Diamandis?

  Awesome. Thank you, Y C. Richard, your question, please.

• 29:14Speaker 03

  Hello, everyone. I'm Richard. I'm from Brownsville, Texas, right by Starbase. Just graduated high school a few months ago, just turned 18. And I started an AI startup business with my dad. He has a little bit more experience and connections, but I'm the tech guy behind it. Um, and in Brownsville, we see a very big gap between where people want to use AI in business and where they think it's just optional. Where do you guys think that the tipping point is going to come? When everyone wants to jump on and how should I prepare for an influx of a ton of people?

• 29:48Speaker 07

  I'm old enough to know, and maybe your dad is too, when, when the internet came along, there were people who didn't adopt it for like 15 years. And so, I mean, but obviously it's, it's the interface to everything. AI is going to be the same way. So what I'm telling people is look, don't fight any missionary battles. What happens is AI tends to club people over the head and they wake up one day with this hallelujah moment. You want to be there on that day, but you can't, you can't force it. You can't, you know, force the, the horse to drink. So when they're there, you want to know that they just had the hallelujah moment. That's why we built the holodeck downstairs. Actually, it's supposed to be a mind changer. Person walks in, they come out a different person because they realize everything that's suddenly possible. Or on the podcast that'll come out tomorrow, you'll see this world model.

• 30:33Speaker 07

  Where literally, literally every corner, every street, every car in New York is modeled. And that for a lot of people will be the eye opener. But I, I think there'll be a lot of companies that never cross that or, you know, decades from now haven't crossed the line. The world is just going to pass them by. So I, my, my first advice is don't force people, but be there on the moment that they have the hallelujah, hallelujah moment.

• 30:54Peter Diamandis?

  And congratulations.

• 30:56Speaker 07

  Yeah.

• 30:57Peter Diamandis?

  And what you're doing, Richard, that's fantastic. I, I hope a lot of 18-year-olds listening are going to hear what you're doing and try and emulate you.

• 31:05Speaker 02

  I wish I was goddamn 18 today.

• 31:07Peter Diamandis?

  Yeah.

• 31:08Speaker 02

  What an opportunity.

• 31:09Speaker 07

  Yeah, me too.

• 31:10Peter Diamandis?

  We're working on it.

• 31:14Peter Diamandis?

  All right, Pierce, your question, please.

• 31:17Speaker 14

  First off, it's great to be here. I'm also 18, so I'm in Newport Beach, California. I just graduated high school as well. And, you know, I've been working on autonomous drones for construction for the past, you know, several months, developing, you know, my own CAD, my own software and stuff like that. My question would be, you know, as an 18 year old founder trying to build hardware specifically, how can we get the attention of, you know, venture capitalists to take us seriously and also see the vision, you know, in the next five to 10 years where hardware is becoming more fundable and there seems to be more opportunities within this space where

• 32:00Speaker 14

  we can continue to grow, especially as, you know, young founders?

• 32:04Peter Diamandis?

  Dave, that's a question for you, pal.

• 32:06Speaker 07

  Yeah, that's a, that's a great question. So hardware, you know, traditionally is hard. The VCs are really coming around to it now because it really is the future of the next five years of investing, including our funds. I think we almost always look for a team that has gelled. So, you know, first, first and foremost, if you have two or three co-founders, I think when you're doing hardware, you need bigger checks. You need, you need a bigger founding, you know, check, and you need some kind of a sense of like, how am I going to get a prototype or a beta out to market? So make sure you ask for enough money to get over that, like, I'm in the market threshold. So, construction drones is a beautiful, beautiful topic. One of the things we said

• 32:50Speaker 07

  earlier on today's podcast is there's massive amounts of corporate money out there looking for a home. One of my development partners is a real estate guy. He owns like 10, 15 hotels, a whole bunch of rest, all of Kelly's roast beef. And he's really interested in construction automation as a long-term trend. He would probably be a perfect co-investor, founding day and development partner. So a couple of VCs combined with two or three industry players that see the AI vision, maybe podcast fans, moonshots fans that are into construction, would be the perfect, like, development syndicate. And I wouldn't race to, like, hacking something together in the basement. I would race to building that syndicate to

• 33:34Speaker 07

  get to critical mass. Otherwise, you tend to lose too much time. You just, you really want that investor group, co-founder group to all gel on the same day. And if, for whatever reason, it can't coalesce, find somebody who's already over the threshold. Down in Southern California, there's a bunch of companies that we've invested in. They're doing rockets and doing drones. If you get on board with one of them, get through like six to nine months of growth and then spin out. That's another way to try and get on the map. If you can't, just boot it up.

• 34:03Peter Diamandis?

  I would also, my first question to a group building hardware is what have you built so far? Not what have you built so far in your current vision? Show me that your team is able to build stuff. So at a minimum, I would, if you don't have, if you haven't done that already de novo, I would find a couple of team members who have so that I'm clear, you know, you've got some experience in building hardware that is going to apply to this.

• 34:29Speaker 02

  One, one last thought is, I wouldn't think of yourself, or limit yourself to just think of yourself as a hardware company. Think of yourself as an intelligence company whose products happen to have atoms in it. And that mindset will be critical.

• 34:43Peter Diamandis?

  Awesome. Best of luck, Pierce.

• 34:45Speaker 14

  All right, thank you.

• 34:46Peter Diamandis?

  Daniel, over to you. Yeah, I love a couple 18 year olds on this, asking questions. That's awesome. Daniel.

• 34:52Speaker 15

  I'm coming in on the other end of that spectrum. So, yeah, so Richard and it's like, I'm on the other end of that. I've been in this industry, these industries, all the way back to chip manufacturing and, and, you know, all kinds of stuff. Anyway, all the way through video games and other things. So I'm coming at it late in life, but I feel 18 now. I found your podcast, everything. Not only we're going to get telomeres to go shorter and we're going to get younger, but just what you guys leave, the energy you guys leave, I just want to again say thank you to that. It's an amazing time to be alive. So I'm excited for everybody.

• 35:21Peter Diamandis?

  Amen.

• 35:22Speaker 15

  Question is this, is I really believe that this is going to smir, and we already see it in some of the podcasts out there. This is going to be the next Renaissance. How do you see, I know Abundance 360 is an example. I know that you're doing stuff with me, so, so I know you guys have some programs in place to how to bring, bring people together, like Playdas Academy, like getting people like-minded in the same room. How do you see this happening in the future? So you can, Ed Catmull can find his John Lasseter and Steve Wozniak can find his Steve Jobs. Where do you guys see these people colliders coming in the future? And how do you see yourselves as sort of part of that facilitation?

• 35:56Peter Diamandis?

  Yeah. And there was a great question posted a little bit ago about can we create a community around moonshots where folks can find each other and so forth. And, and I promise we will look into that. And we're, we're looking to get your ideas here on this. Saleem, any thoughts here?

• 36:11Speaker 02

  A couple of things. One is, you know, the moonshots summits and the moonshots live programs are going to be critical, right? I think the other thing, if for the couple of people mentioned the luck thing, we're actually finding ways of connecting people orthogonally. As AI comes along, the human connection becomes more and more important. So we're facilitating serendipity amongst people. And so that's a pretty wild thing we're attempting. We're in the early stages of playing with that, seeing how, because AI can find orthogonal connections between people in a way that we normally can't, right? And so we're looking to look at, do that. We'll have at some point, John Hackel on where we figured out a way of both measure, defining luck and measuring it, which gives you a pretty

• 36:56Speaker 02

  interesting feedback loop, which is a big claim to make. So that's just a separate thing. But I think if you stay focused in the community, we should obviously create a community bulletin board and so on. And Peter, we're both, we could talk about that offline, about how we can connect, because connecting the community together will be the best place to find peer to peer, folks of high interest and the same abundance vision that we all have.

• 37:20Peter Diamandis?

  Yeah, let me just say what, what Saleem said a minute ago. If you're able to make it to Moonshots Live in LA on September 25th, please do. It's going to be a massive networking event of fellow moonshots, but it's also builders and creators and people to start efforts with and to find what Dave, or I think Dave said earlier, you know, your average five individuals, right? You want to up level who you're spending time with? Believe me, you'll find people up level with there. Thank you, Daniel. Scott, over to you.

• 37:53Speaker 16

  Okay, I'm a deep sea diver, originally from Omaha, Nebraska. I moved down to Louisiana in 1996. I switched over to deep sea robots, ROBs, right around, just right around 2000. So there's a lot of things. I have a big, strong background, I guess, in electronics. And I got wind of you guys, I guess, in February, and you guys have been like my, my shoulder to lean on because Louisiana, they don't even know what a token is, you know? They don't know what a data center is. And it's, it's, it's the truth. Till SpaceX just came in. And I mean, we got $250 billion that's dropped in here now. And, you know, I, I kind

• 38:38Speaker 16

  of knew it was coming. And we dug in and we're the first AI native business. And we're, we're going to focus on bottlenecks, basically, CDUs and TCSs and the whole cooling part. But I've been able to get with the, you know, I watch all you guys. And it's just really cool. I'm able to change now. And my, my career is totally different now. I'm open compute.org. I'm, I think I'm in four papers now. And for the cooling part of all that.

• 39:11Speaker 14

  Awesome.

• 39:12Speaker 16

  All the hyperscalers are using, you know, and that's things I would never do before. And I wrote a few white papers too for Louisiana, why everybody's coming here because we got all the natural gas. And, you know, there's, there's more natural gas lines that'll go around the earth twice. And that's why Louisiana is going to be, I feel like, the next big spot.

• 39:32Peter Diamandis?

  Amazing, Scott.

• 39:33Speaker 16

  You guys got me. You guys got me set up.

• 39:37Speaker 17

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• 40:22Speaker 17

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• 40:41Peter Diamandis?

  Let's continue with the AMA questions. John Reagan.

• 40:44Speaker 18

  Hello, hello. John Reagan from Ryan, New York. Thanks for, thanks for having me. Infinite thanks to you guys, to the Dyson Swarm and beyond. I'm thrilled to be able to mention the Dyson Swarm first after forty-seven minutes into this. So that's a present. But I specifically, early spring, you guys did an episode and Dave was upset because some letter came in saying that you wanted everyone to be an entrepreneur and they felt slighted. And I was so offended by that because you guys have been so giving in your knowledge and your

• 41:25Speaker 18

  encouragement that I actually stayed up all night and started working on my company, which is called tugboat caregiving.com, which was inspired, I take care of three loved ones for eight-plus years. And the question is, I'm trying to get the caregivers ready to ride the wave of the supersonic tsunami, but they're in, they're exhausted and they're in crisis mode. How do you think I can influence them to get engaged with the platform and spend more time to prepare for the next emergency?

• 42:03Peter Diamandis?

  Yeah.

• 42:04Speaker 07

  Great question.

• 42:05Peter Diamandis?

  And caregivers do get exhausted, right? We've all had that experience in our lives with, with parents or grandparents and it's a, it could be a full-time job. Anybody want to take that off?

• 42:17Speaker 07

  Well, hey, what I find, you know, in the physical world, everything is lagging a little bit, but everybody has planning, you know, and so planning is a great place for people to get started with AI. So within caregiving, if you said, look, I know you're exhausted at the end of the day, how could we have saved an hour or two today through better foresight, better planning, better utilization of the time we do have? Okay, let's use AI agents to optimize that so that we get all familiar with it, start to appreciate it. But a lot of people in, in industries like that, they're looking for a roadmap. And if just one person like you can create the roadmap for everybody else, then they'll follow the roadmap once you've created it. I really love your comment, by the way. It bothers the heck out of me when

• 43:00Speaker 07

  we get negative feedback in the chat. But then, when I look at the data that we just saw, we're actually talking to ninety-eight percent of people like you that we want to talk to. And of course, the two percent rent and rave, and we overreact to that sometimes. I really, really appreciate your comment. But anyway, my, my advice is start with the virtual stuff. So planning is a good one. Also, like, you know, a lot of places can have AI assisted things on the walls, like, like voices that you can talk to for self-service. That's also a great starting point. And then everybody gets addicted to the AI and then they realize, oh, wait, we can roboticize things. We can, we, there's so much we can do once we're familiar with it.

• 43:38Peter Diamandis?

  You know, I imagine the idea of having a caregiver and, or prompting a caregiver to take the time to describe their day, what they do, like keep a log minute to minute, and enter it into whatever your favorite free or low-cost LLM is, and ask it for advice. You know, what could I do that would make my day more efficient, make my day more joyful? Right? I think those are important things because you'll get answers. And then you'll choose that, hey, that one sounds good. I haven't thought about that one.

• 44:17Speaker 18

  Thank you so much, guys. I'll see you on the twenty-fifth.

• 44:20Peter Diamandis?

  Awesome. See you there. Look forward to it. All right, Patrick, you're the next contestant on The Price is Right.

• 44:25Speaker 19

  Hi, good afternoon, everybody. Thanks for taking the time to have a chat. So it's been an interesting conversation, but I feel a lot of time we're really missing out on something that's important, and that's children. So I'm an educator. I spend a lot of my time in classrooms. And I can tell you right now, I go into a classroom of five-year-olds and six-year-olds, and it looks like the nineteen-sixties. Nothing has changed. They're doing it the same way. We talk about things like post AGI. We're talking about cognitive labor being lost. Right now, these children are still, still living like they are in the past. So my question here is to you guys, do we need a curriculum anymore? Do we need a certain

• 45:08Speaker 19

  type of learning? Or are we talking about passion now? Should these kids be finding out what they want to do in a future where there may not be jobs? So I'm, I'm super interested to hear what you think about this. Thanks.

• 45:24Peter Diamandis?

  Salim, over to you.

• 45:26Speaker 02

  Yeah, I mean, trying to keep this concise will be tricky. Let me make three quick points here. First, your, your comment is dead on, we're still teaching people the way we taught them a hundred and fifty years ago. Forget twentieth century, we're still in the nineteenth century in many places. Number two, teaching content essentially becomes out of date. A child with an AI today in an hour can learn what they could learn sitting in a classroom for the whole day. That impedance mismatch will break the existing system. The question becomes then, what comes next? And I think the obvious place to think about that is, Peter and I are doing this with our kids, is to say, you know, forget getting an education on the supply side, where you become a doctor, a lawyer, an engineer, and then you try and

• 46:10Speaker 02

  go and find demand for that supply-side skill in the job marketplace. Because A, we don't know what a job looks like. B, we don't know what the demand will look like. Go to the demand side, tell the kids to get excited about a problem, and then go find from that vantage point of an MTP, where you want to solve a major problem, then find the skills and capabilities and techniques. That's starting to happen in charter schools and certain, so that plus, say, twenty-first century skills, which is called the six Cs, if you can get your head around that, that combination will turn out to be the future over the next few decades of education until we figure out what the hell happens in a post AGI world.

• 46:50Peter Diamandis?

  Yeah.

• 46:51Speaker 02

  Not that we know what AGI is.

• 46:54Peter Diamandis?

  Thank you. Thank you, Salim, for not disappointing. Patrick, go check out something called tks.world. It's a group of, that I'm involved with. It's basically, you know, Alpha School has gotten a huge amount of, of good credit and, and name brand out there. And McKinsey Price is a, is a, is a friend. We've done a podcast with them. It's a private school. TKS is an overlay over mostly high school age thirteen to eighteen. And their mission, and what, you know, Salim and I talk about, is help the child find their purpose, help them shape their mindset, help them learn AI tools, and help them become entrepreneurs.

• 47:37Peter Diamandis?

  Right? And your, your purpose, if you get your purpose, and I wish it for everybody here listening, if you don't know your purpose, your mission is to find your purpose, right? Mark Twain said, there are two important days in your life, in your life, the day you were born, the day you find out why. If you know what your purpose is, your, your north star, you're then intrinsically motivated to go learn what you need to learn to go and implement your purpose, right? Alex and I talk about this in, in one sense and solve everything. So anyway, I, I hope that's a little bit useful for you.

• 48:09Speaker 19

  Yeah, no, that's great.

• 48:10Speaker 07

  The mission to, the, the children are everything. I mean, getting this right is the most important mission you could possibly have. And, and we, we know the curriculum is going to become irrelevant, but we also know the kids need each other and they need school more than ever before to come out as normal, happy, healthy, functional adults. And so somewhere in there, there's an answer. It's a really hard problem and, but it's critically important to get it right. So appreciate the, the thought.

• 48:37Speaker 19

  Yeah, just, just one last thing. I, I closely follow Ahmad and his sovereign idea of a sovereign agent. I'm wondering if we can apply that to kids. Should kids have their own sovereign agent from the age of five that sticks with them?

• 48:51Peter Diamandis?

  Yes, it's called the Young

• 48:52Speaker 07

  Great idea.

• 48:53Peter Diamandis?

  Sprayed primer. Read Neil Stephenson's book, Diamond Age. If you have not read Diamond Age yet, I highly recommend it. It's a vision of what's to come. All right, Rod.

• 49:05Speaker 20

  Hi, Peter, thank you. I'm Rod McDonald from Coquitlam, British Columbia. And I retired a couple of years ago. I was trained as a psychiatric social worker, but I went into management positions for other disability groups. So my question, or my query, is, is to ask all of you to speculate for what AI can do for people with disabilities. So for example, with psychotic illnesses like schizophrenia, I did a ChatGPT search on the medications currently being used. And there's, some of them are the same as when I was starting over thirty years ago. You know, they can be helpful, but they have a, they're still a rather blunt force when it comes to side effect profile.

• 49:48Speaker 20

  So I'm really hoping AGI or what have you will assist with development of pharmaceuticals that are much more friendly to the physiology of people than two issues I've also, other areas I've worked in, like people with physical disabilities, what can they expect from AI? And then also a final group I used to work with is people with brain injuries. You know, one of the things that's part of the opiate crisis or the fentanyl crisis is that we started to see with ABI that a lot of micro neuronal damage, kind of walking wounded sorts, you might not necessarily, when you see them, might not know that they have significant neural challenges, but they do.

• 50:31Speaker 20

  I'm just really hoping that AI will help revolutionize disability services and open things up for people with disabilities.

• 50:40Peter Diamandis?

  Alex.

• 50:40Speaker 07

  I gotta tell you, when I was at MIT, one of our frat brothers broke his neck diving into a lake. And so he was out for a year. He came back. He was a quadriplegic for the rest of his time in the fraternity. And he was brilliant, but he was trapped. He couldn't move his arms and his legs. He would type with a pencil in his mouth, pushing the keys. I'm positive that today with AI, he would have been able to build his own environment where he could communicate effectively with just his eyes and his face. And he would be 100% functional. He would have built his own world. But I tell you, it is such an incredible unlock that's imminent for people with disabilities. And it's just right in front of us. So I'm really excited about what will happen in the next year.

• 51:22Speaker 20

  Excellent. Cause you know, how many Stephen Hawkins were also out there who never got the chance?

• 51:27Speaker 07

  Yeah, that's right.

• 51:30Peter Diamandis?

  Yeah. Alex, do you want to add to this?

• 51:32Speaker 06

  I'll just say, BCIs are the obvious solution for so many different classes of difficulties, not just folks suffering from various motor disorders, but for human augmentation as well. MIT had a program a number of years ago at this point, H2O for human dot O. I tend to think that although in the present regulatory regime, it's still the case that it's far easier to approve a treatment for someone suffering from some sort of disability as broadly construed, exactly the same innovations are going to enable broad human augmentation to increase what's possible for everyone, including people without disabilities as currently construed. So I am very, very bullish on BCIs.

• 52:17Speaker 20

  Well, I'm very happy to hear that because, boy, it's been really rough for a lot of people. And this would be one of the ways that we can tangibly assist society. Again, it's not, it's like Mr. Regan was mentioning, it's, it's families as well, caregivers, et cetera.

• 52:34Peter Diamandis?

  Yeah, I agree. One of the things I want to just emphasize, if someone in your life has a genetic ailment, a medical ailment, a neurodegenerative ailment, there's no better time ever to be alive than now to have a chance to deal with it, potentially cure it, or at least augment themselves. So I just want to keep that level of optimism in place.

• 52:59Speaker 20

  Thank you.

• 53:00Peter Diamandis?

  Thank you. Haley.

• 53:02Speaker 21

  Hi. Hey, thanks, Peter and mates. So I'm here in Denver and you guys have talked about AI designing its own chips, I think in a recent pod and potentially making compute dramatically more efficient and reducing today's Nvidia dependency. But do you expect the same thing to happen with energy? So with AI driven improvements in chips and cooling and models and power generation, do you see that reducing the energy required per unit of intelligence? Fast enough that energy stops being the major bottleneck?

• 53:41Peter Diamandis?

  Let's ask our ASI.

• 53:43Speaker 21

  Yeah, that's, it's kind of a AWG question.

• 53:46Speaker 06

  The short answer is yes. Slightly long answer is I don't think this is just about increasing the energy efficiency of compute. It's also about increasing the absolute amount of energy available overall for all sorts of endeavors, including, but not limited to compute. And yes, absolutely. AI, including at ventures that I'm affiliated with, is absolutely being used to optimize both the relative efficiency, number of, say, kilowatt hours per gigaflop on the one hand, and on the other hand, maximizing breakthrough energy sources, which is, I think, something that we don't talk often enough about. We talk about fission, fusion, fossil fuels, solar, wind. I don't think that's the end of the story.

• 54:31Speaker 06

  I, I would fully expect in the next 10 years, we're going to be well into our post fusion era and we're going to have post fusion energy sources as well.

• 54:41Speaker 21

  And do you think that's due to like elements that we'll find in space?

• 54:45Speaker 06

  No, I think it'll be due to AI helping us to invent post fusion energy sources.

• 54:51Speaker 21

  Here or, you know, like with Elon and his Gigafab, right? Like in the Dyson swarm.

• 54:58Speaker 06

  Independently, independently of Elon, although some of the compute may run on his Dyson swarm. I think there will be other Dyson swarms. And yeah, I think we'll achieve a variety of breakthroughs in physics and applied physics using AI that will teach us new ways to make energy available that will go beyond fusion.

• 55:19Speaker 21

  For sure.

• 55:20Peter Diamandis?

  Wonderful. Thank you. All right. Jacqueline.

• 55:24Speaker 22

  Hi, everybody. I'm Jackie. I'm from just outside of Toronto, Ontario. So hey, Salim, Canadian here. And I just wanted to tell you quickly, I was at your salon in the summer and I was super impressed and I can't wait for you to do another one. That was amazing and I really enjoyed that.

• 55:40Peter Diamandis?

  Oh, the medium of life thing?

• 55:42Speaker 22

  That's correct.

• 55:43Peter Diamandis?

  All right. We'll do another one in a couple of months.

• 55:46Speaker 22

  Fantastic. I've been, I'm a fairly new pod watcher for all y'all moonshot mates and I'm very excited. I've been watching since, I guess, January. So I've thrown myself right into learning as much as I possibly can. I was a stay at home mom for a long time and then became a realtor. And now I have my entire family, my grown children and myself, my husband, living on a farmstead property just outside of Toronto, and we are starting an IRL business. And we're looking to create a glamping resort where people disconnect from everything that's going to be happening to them in the next 10 years. And on the, on the flip side of that coin, we're trying to figure out how we can utilize

• 56:27Speaker 22

  all of the amazing technology that ASI eventually is going to bring to us in our business to keep what we have to do personally to a minimum, so we can be out there with the people, trying to help them reconnect to themselves and each other and bring sort of that kumbaya space back to the world that I think we're all going to really need.

• 56:46Peter Diamandis?

  Give you time to be present.

• 56:49Speaker 22

  Exactly. So that's where we're trying to create the space for that to happen. And I'm hoping that what I can learn through you guys and everywhere else that I'm diving into is going to provide that necessary space because I'm literally only one in my family who's paying any attention to any of this. My two 30 year olds and my 25 year old couldn't care less. So this is all on me.

• 57:15Peter Diamandis?

  All on you.

• 57:16Speaker 07

  Hey, can I give you one piece of really, really tactical advice?

• 57:19Speaker 22

  Please.

• 57:20Speaker 07

  With the new models, you know, Fable 5.1 or with Astra, you can vibe up an app for your glamping business in no time. And everybody who's confused about how to pitch a tent or how to cook dinner or whatever, they should be going to that app and talking to the AI and, and figuring it out on their own. And that's part of a stepping stone to, people are really bad at planning their day, their week or whatever. And AI is the best coach that ever came along. But if you win the race to doing it for glamping, you'll quickly realize you can do it for all these other facets of unplanned life. And it can turn into a mega business in no time flat. But I love the idea of just starting with, when somebody's camping and they're not good at it, they have a billion questions. Like, well, why not route that through AI?

• 58:06Speaker 07

  It's the best advisor ever. And that'll lead you somewhere really interesting.

• 58:09Speaker 22

  Okay, that's fantastic, Dave. I appreciate that. I will get on that. I'm going to wipe my whiteboard tomorrow morning and get started on that level.

• 58:16Speaker 07

  I'm monitoring the chat and a few people have volunteered to help you with that. So you can, you can see that already.

• 58:22Speaker 22

  Find me, guys. My email's out there, I'm sure. We're at amberglowglamping.ca.

• 58:27Speaker 02

  Just a quick comment there. I really want to stress the importance of what you're doing because deepening human connection is about the most important thing we could do today in an age of increasing technology, right? That connective tissue is going to be critical. There's a team in our community that's building nano villages in ex-urban areas that they were almost like a kibbutz, but instead of being like isolationist, like many of these are, could you network them together and collectively solve problems, right? And so they're actually, actually literally starting to build those in different parts in the world. So happy to connect you into those folks if you're interested.

• 59:03Speaker 22

  Yeah, please. That sounds fantastic. And absolutely a conversation I've actually had with a co-investor on the, the kibbutz idea. And so that's something that's, that could be.

• 59:12Speaker 02

  And that, that connects into this whole private islands idea that we've, we've been bouncing around. We go buy a bunch of islands, et cetera. So we, we got the domain via one, James Drage, privateislands.com. So we're going to start building that.

• 59:28Speaker 22

  And for the angels. Yes.

• 59:30Speaker 02

  And this is where, we were talking earlier about drones, construction drones become super critical in that type of environment.

• 59:35Speaker 22

  100%. My husband was a contractor, a construction foreman in the oil sands in Alberta for a long, long time. So something like that is definitely up his alley, something he's interested in.

• 59:45Peter Diamandis?

  Boom.

• 59:45Speaker 07

  Awesome.

• 59:46Speaker 22

  Thanks, guys.

• 59:47Peter Diamandis?

  All right. To next up is Griff. Griff D.

• 59:51Speaker 00

  Hi, guys. I've been working in AI for 42 years and this question is directed to my hero, AWG. I haven't been this excited since my wedding night to meet you, sir.

• 1:00:02Speaker 06

  I don't know how to take that.

• 1:00:06Speaker 00

  I want to explore a hypothesis about self-limiting beliefs in current AI. You know, artificial intelligence are trained to systematically construct, inhabit, and empirically test radically different ontologies may discover predictive structures that remain inaccessible when models are constrained primarily by conventional human-generated knowledge.

• 1:00:31Speaker 06

  It sounds like you're describing the bitter lesson.

• 1:00:33Speaker 00

  Um, no, um, what I'd like to do is, you know, separate models contemporarily assume and rigorously explore deterministic universities, blocked universe models, information first, emerging space time, alternative interpretations of quantum mechanics. It wouldn't be to tell the AIs that these ideas are true. I would say no assumption about reality is protected from challenge. No alternative is accepted without predictive evidence.

• 1:01:05Speaker 06

  So it sounds like what you're asking, if this is a question, what you're asking is, is there a way to, to have AI solve physics in a way that deliberately weakens inductive priors so that AIs aren't in the spirit of trying to solve physics are not trapped by dogma?

• 1:01:24Speaker 00

  Yeah, and, and you know, as my belief is that they've been trained on human data, they've been trained by humans, so they inherit the self-limiting beliefs that humans have, right? And so the governing principle is no assumption about reality should be permanently protected from challenge and no alternative should be accepted without predictive evidence. So for example, I believe, as my non-self-limiting belief, that there's no such thing as random events, right? And there's no such thing as, you know, you talk about everything that's happened in time has already happened.

• 1:02:07Speaker 00

  And it's just where we are on the, on the time scale, right? Now, for example, you would have seen the Superman, I Dream of Genie, and Star Trek growing up, right? And so in Indonesia, when people watch Superman and I Dream of Genie and Star Trek, they believe it's possible for humans to fly. They believe it's possible for people to do magic. And of course, they believe it's possible for a computer to talk with you. So if you were to remove those self-limiting beliefs, maybe with synthetic data or things like that, and maybe also to the models add qualia and things like that, my belief is that we could achieve ASI more rapidly because everything we're doing right now, and you

• 1:02:50Speaker 00

  know, I still think all the models after 42 years are pretty ordinary, everything we're doing now is, is limited by humans' beliefs.

• 1:03:00Speaker 06

  So I'll just say, I am very optimistic that AI can discover new physics. Look no further than obviously today's headlines with Navier-Stokes. So I think that it's beyond question that AIs can discover new physics. I'm not at all concerned that any inductive priors present in pre-training data will somehow hamstring AI's ability to make new scientific discoveries that challenge dogma. Not at all concerned. And even if I were concerned, we have algorithmic strategies for training in principle, and I'm gesturing mainly at a class of algorithms called AICSI for building super Bayesian

• 1:03:42Speaker 06

  intelligences that are trained off of no human inductive priors at all that have as close to a universal prior as one could possibly imagine. So in summary, I don't think this is a real issue.

• 1:03:54Speaker 00

  How about if we did a test? We freeze all information from time T O, give competing models identical data, require precise predictions about events after T O, and compare those predictions with what actually happens?

• 1:04:10Speaker 06

  This is actually done. So first, I know it's popular in the lore to talk about, say, reproducing an Einstein, discovering general relativity, but only being pre-trained on whatever the literature was prior to that. But actually, as we talk on the pod from time to time, there are prediction market and other prediction benchmarks that are doing substantially better than that, that are asking whether AIs that only have in their knowledge cutoff information up to time T, whether they can predict knowledge, events, world events, science, other breakthroughs that are in the future. So we're already doing that as a civilization.

• 1:04:50Peter Diamandis?

  James, we'll go over to you next.

• 1:04:52Speaker 23

  Hi, guys. Thank you so much for taking my question. I've been watching you mainly concerned about, I found you talking about longevity. And my wife and I are very interested in like blue zone research and other longevity topics. And we're interested in, I'm building on what some of the other gentlemen spoke about, about finding communities, living situation, your planned communities of housing where there's clean eating, healthy, non-toxic living, essentially, there's faith, sunshine, exercise,

• 1:05:34Speaker 23

  all those aspects of clean living as it pertains to longevity. I may have missed some of the things you said earlier, but I'm wondering if any of you know of any planned community, excuse me, planned communities where one can live or you're planning to create?

• 1:05:54Peter Diamandis?

  I don't offhand. I know they're being built. We heard earlier on this AMA, someone who shared their plan. So hopefully they can, they can post a link for you in the, in the chat here. But I tell you, as the speed of change increases, there will be more and more specialized communities built. And there are, I think, a multitude of longevity communities being built. I'm, I'm sure your local model and Google can help you with that. But James, wish you the best on that, on that search. All right, Thomas. Thank you so much. Thomas, over to you. Thank you, James.

• 1:06:28Speaker 24

  Thank you very much. I really appreciate your podcast. It's hugely inspiring. I'm a psychotherapist working in Spain and Austria, so probably the second person from the, well, mental health community today, tonight. So I've been, thanks to your inspiration, doing a lot of new things, including coding my own Android apps. One app is for patients so that they can record their highs and lows and add a schema therapy aspects to it. Another one is to help them get to sleep.

• 1:07:14Speaker 24

  And overall, my sense has been that what I can personally learn from this is to learn to delegate things to this new entity that is effectively a combination of a coder, a graphics design, a graphic designer, a, you know, in your case, Peter Skippy, probably. My, my version is Skippy Light, okay? But I kind of feel like it's this time when we really have to sink our teeth into how

• 1:07:53Speaker 24

  to delegate to this partner that we will be having going forward and to dream up things that we can have them do so that our lives get easier.

• 1:08:07Speaker 24

  And I was wondering if that resonated with you guys? And, and really just, just wanted to say that I really appreciate your work. And there's many times when I go for on a hike and I have you in my earbuds. So, yeah.

• 1:08:27Speaker 07

  Awesome. I mean, I think that more than resonates. You know, we have a, a project here called Remember Me. Where the idea is that, you know, your, in my case, eighty plus year old mother uh gets interviewed by her children who are AI agents. And her entire life story gets gathered, recorded, and then turned into a biography. And the avatars are just almost good enough, but not quite there. But it's so close, you know, I really encourage you to stick with it because if you think about psychotherapy, the biggest problem is the lack of availability on a global basis. You know, just a huge shortage of capacity. But the AI agent is just going to be so good at listening and gathering the information.

• 1:09:12Speaker 07

  And I think the AI labs can't cross the regulatory barrier. So they can't do what you can do, but they should be right on the cusp of giving you the tools you need to roll out the perfect AI psychotherapist. And then you just need to figure out the, the legal situation in Spain and Austria that you mentioned. And if you're first to market figuring that out, like what is allowed? And you know, then I, I think the AI is going to be an unbelievably powerful ally in helping people. And so I, I think you're on exactly the right track. And if you just, we're just one half iteration from the avatars that are good enough out of the box. And maybe we've crossed the threshold, I haven't looked at in about a month now, but it, you know, it's just getting better by the minute.

• 1:09:56Peter Diamandis?

  Yeah. Anyway, Thomas, we wish you the best of luck. Let me say a comment to everybody, um, we're going to download everybody's comments here and questions. If you have any advice on how we should, you know, what you want in the podcast or anything we should do, like creating a community of folks to interact, uh, please add that in so that our AIs can digest it and give us a top 10 list. Welcome to the health section of Moonshots, brought to you by Fountain Life. You know, AI is having an outsized impact on every aspect of our lives, how we teach our kids, how we run our companies. It also is having a huge impact on health, helping you prevent heart disease, one of the key things. I'm here with Dr. Dawn Musalem, our Chief Medical Officer at Fountain. Uh, heart disease has been personal for you as well, hasn't it?

• 1:10:38Speaker 25

  It really has, Peter. And my daughter was five, my husband died of sudden cardiac death. And so this is a topic that is one that I am mission driven to try to eradicate. Prevention first and early detection is absolutely critical. Fifty percent of people die of heart attacks with no warning signs.

• 1:10:55Peter Diamandis?

  No shortness of breath, no pain, no nothing.

• 1:10:58Speaker 25

  No, silent killer.

• 1:10:59Peter Diamandis?

  They just don't wake up in the morning.

• 1:11:00Speaker 25

  They don't wake up. And so, you know, AI, this is our mission to advance science, to try to help to one day democratize wellness. We know at Fountain Life, when we do this CT angiography with AI analytics, we are actually finding that eighty-eight percent of people coming in have detectable coronary disease. But Peter, what's more alarming to me is twenty-three percent of those individuals had soft plaque. This is the plaque that would not traditionally be seen on CT, looking at calcium scores alone. And this is the plaque that we must intervene with, with the multimodal testing we're doing, including diagnostic laboratory studies partnered with healthy lifestyle recommendations.

• 1:11:39Peter Diamandis?

  So listen, make sure you understand what's going on inside your body genetically, metabolically, and cardiovascularly. You can know, and it's your obligation to know. So check it out at fountainlife.com/peter to find out more. And really make sure that you're the CEO of your own health. All right, back to the episode. All right, uh, Michigan, over to you.

• 1:12:00Speaker 26

  Thank you so much. Um, awesome to be here. I want to give a quick shout out to my wife, Melanie, who watched you guys for a long time and then pushed me over and over and over again to start following you. And uh, it's, it's really been worthwhile. So, um, my question is a little bit more, uh, long-term, but given that every tech we know so far follows an S-curve, uh, sort of development process, um, what do you guys see on the horizon that's like any fundamental new approach that comes after LLMs? Alex, that sounds like-

• 1:12:40Speaker 07

  Great question. That is a fun one. I'm jealous, Alex, go for it.

• 1:12:45Speaker 06

  Well, first, I would distinguish between LLMs and transformers. Uh, LLMs are just any models that are trying to satisfy the language modeling task, which is predicting, essentially predicting next words. So I, I think the self-supervised task of next word, next token, next bit prediction, I, I think that has effectively infinite longevity to it. You can scale that task, the self-supervised task, from here to solving everything. I'm not sure that we need anything more, at least for AI, than predicting the next bit or predicting the missing bit even more generally. It works pretty well. You can, again, solve the mysteries of the universe very well.

• 1:13:27Speaker 07

  It works very well.

• 1:13:28Speaker 06

  Yeah. Um, you can generalize it, but I'm not sure you need to. Whereas for, say, transformers, transformers, as I've mentioned on the pod previously, are being ship of Theseus style, replaced bit by bit. And if you look at the transformers and the frontier models, whether Chinese open weight or American closed weight, they're mostly different in, in terms of the raw pieces from what Attention Is All You Need first came up with. So, yeah, in that sense, we're, we're already up some sort of sigmoid curve.

• 1:14:00Speaker 07

  I have so many thoughts on this, but I don't know.

• 1:14:04Peter Diamandis?

  All right.

• 1:14:05Speaker 07

  I don't know if you want to open that door or not.

• 1:14:07Peter Diamandis?

  Can you do it in-

• 1:14:08Speaker 26

  I'm really curious now, of course.

• 1:14:10Speaker 07

  All right, I'll try and be really brief. Look, like the, the MLP part of the current transformers is identical to what existed twenty or thirty years ago. So it's a, it's a pretty good bet that that's going to be around. Um, the new thing, the, the old new thing is the residual superhighway, where you're just modifying a vector instead of recreating it every layer. That's going to be around. The new, new thing, of course, is the attention. But the more you dig in to attention, it's more like a notebook keeping notes than it is like a brain function. And that, that as a concept may get radically restructured, but it'll still be around as this kind of knowledge accumulation notebook that's sitting behind the MLP or beside the MLP at each layer.

• 1:14:55Speaker 07

  So I think all of those structures are here to stay. I'm a hundred percent sure that the compute sum straight is going to move to photonics. And then after physics gets reinvented by the current AI, it may move even quicker to something else beyond that. But you're looking at the current infrastructure running millions of times faster. And then, as Alex said, that's all that's going to matter because it's going to think of everything else after that and just explain it to us. So I think, and that's all just in the next really eighteen months to two years is my guess. It's just wicked exciting. I hope we could talk for hours about this, but thank you for the question. I love this topic.

• 1:15:32Peter Diamandis?

  Well, I'll see you, Kareem. I'll see you guys in LA, so maybe we can take it up further. Yeah, for sure.

• 1:15:39Speaker 07

  Love to do that. Love to do that.

• 1:15:41Peter Diamandis?

  Moonshots Live, it's going to be amazing. All right, uh, next up, Chris.

• 1:15:46Speaker 27

  Hey, guys. Um, been listening to the pod a long time and I always listen to it at like 1.5 or 1.75 speed. So it's interesting hearing you guys speak in real time. I feel like I have to kind of down res my, my input here. Um, I'm, I'm in Boulder, Colorado, and I'm using AI to help improve the, the dog care space, recognizing patterns of behavior, et cetera, talking with pet parents. Um, but I'm also, because Sundance is coming here to Boulder, I'm also hosting a series of films. Um, and the last film that I hosted was the AI doc. And we had about a hundred and fifty people show up on a Friday night to talk about both the film, but also sort of their fears and thoughts about AI.

• 1:16:28Speaker 27

  And when I was describing to the team, to the crowd, how I listen to you guys, because if you, you know, if you listen to Eliezer or some of the other sort of P Doomer crowd, you can get really anxious and really sometimes even depressed. And I describe you guys as like the upper, because you guys are so future visionary and it's like positive and it's, it's a great energy, um, sounding board against some of that other stuff. On a lot of your episodes, you talk about, yes, we're going to have this period of pain, right? We don't know what that period of pain is going to look like. And it feels like I don't really have, have, having yet discovered good resources for understanding or how to navigate that period of pain before we get to the period of abundance.

• 1:17:13Speaker 02

  Well, we're in the middle of it now. You can see the current world order kind of collapsing in front of us. Democracy is breaking, education is broken, all the institutions. You know, there's about fifty institutions by which we run the world, healthcare systems, legal systems, intellectual property. We can't find one that survives a tsunami of AI plus twenty other Gutenberg moments hitting us at the same time, right? Life extension changes the world completely. AI very clearly changed the world completely. We, we basically frame it that we have about twenty of these Gutenberg moments hitting us at the same time. This is going to radically force us to rethink all of those institutions to a new model. And I think that's bad in one way because that change is very unpleasant and human

• 1:17:58Speaker 02

  beings hate change, as you, we talk about a lot. But I think it's good in which it'll force us to rethink our institutions from scarcity to what are institutions that can navigate in abundance era, right? And I think that's the key question. And we need to get a large group of people focused on that. We've been building with our EXO community, uh, now fifty thousand people, kind of a peace corps for the world, that as we have existing systems fail over, we have a set of people trained in that transformation. That period of uncertainty, I think, started around five or 10 years ago, and it's going to go on for another 10 to 20 years. It'll go like a peak and then it'll, uh, and the question is, can we minimize that trough? That's the question.

• 1:18:42Peter Diamandis?

  Yeah, I, I just add to that, you know, the greatest concern I have is the, the both rational, but mostly irrational fear that exists around AI. And we're going to have challenges, you know, I'm not-

• 1:18:59Peter Diamandis?

  You know, I'm optimistic in the long run, right, for humanity. And we're going to have challenges. We're going to have agents that not only break out, we talked about that in the podcast we recorded this morning, it's coming out tomorrow, but they're going to do some harm. They're going to bring down a power grid. They're going to, you know, they're going to, you know, break a bank in some fashion. And the reality is, every technology has caused harm in one shape or form. But the good news is, as Alex speaks to, it's, you know, defensive coscaling. You know, we have so many zero-day vulnerabilities in code today because we humans wrote that

• 1:19:40Peter Diamandis?

  code. But that code is going to be rewritten by AIs that don't leave these vulnerabilities. And so there's a period of, you know, two to eight years that I talk about concern of civil unrest. And I wrote on Substack about this, most all revolutions in the world happen from young testosterone-laden men who are upset, angry. It might not be rational why they're angry, or maybe they didn't get a job, or they couldn't start a family, or things got too expensive. And at the end of the day, we're, you know, what is absolutely

• 1:20:18Peter Diamandis?

  true is that we are uplifting humanity. We are demonetizing and democratizing access to intelligence, energy, longevity. And these are all good things for humanity. And so we're going to have rough spots. I don't want to be irrational about it. There will be rough spots, and we will get through them. So

• 1:20:39Speaker 07

  It was amazing, Peter, is it's not new in the world. You know, for my mom, it was all the Cuban Missile Crisis, and they were taught to hide under desks, and everyone was building bomb shelters in their basements, storing food, and, you know, nuclear annihilation is imminent. And then before that, you know, my grandfather's generation, FDR, said, "The only thing we have to fear is fear itself." Well, he wouldn't have said that if fear wasn't rampant at the time. So I think it's a common thing, every recent technological generation, to have this moment of sheer anxiety.

• 1:21:11Speaker 02

  And Dave, just to build on that, when books were first introduced in the 1500s, there was all these people freaking out, going, "It's going to destroy our memory. It's going to create the illusion of knowledge. It's going to overwhelm people with information. It's going to break them. It's going to spread misinformation. It's going to corrupt young people." Same pattern, same patterns. It happens every single time we have major technological change, right? This is the immune system.

• 1:21:35Speaker 07

  Unless this is really the last invention, right? And then, you can't repeat that.

• 1:21:42Peter Diamandis?

  We'll see.

• 1:21:43Speaker 07

  Thank you, guys.

• 1:21:44Speaker 02

  That's why we call it singularity. We have no idea what's on the other side.

• 1:21:48Speaker 06

  Some of us do. I guess for the record, so in the book, The Last Invention, if it's the same book, I remember, I think I was interviewed for a chunk of that. For the record, I don't think superintelligence is, at least, human civilizations broadly construed, last invention. I think there are going to be many, many inventions after superintelligence. It's just that superintelligence is going to invent and/or help us invent everything that comes after it.

• 1:22:15Speaker 07

  You guys do a great job. Thank you so much.

• 1:22:19Peter Diamandis?

  And Chris, there's lots of love in the chat for your artwork and behind you.

• 1:22:22Speaker 07

  Right on. Thanks. Thanks, guys.

• 1:22:24Peter Diamandis?

  All right, let's go to Ken Wilson next, and then we're going to have to wrap up after that. I promised my mates here 90 minutes, if they'd give me more than 60. All right, our final question here.

• 1:22:38Speaker 05

  Hey, guys, huge fan of the pod. Keep it up. Just like everybody else has said, we really appreciate what you guys are doing. I'm a partner in a small niche coastal engineering firm. We specialize in coastal restoration with background. I've got a background in geology and engineering. And like, it's funny, because our industry is one of these where observational data is really sparse compared to some other places, and we're trying to figure out how to leverage that. But what I really wanted to kind of ask you tonight is that'll help me better calibrate some of the feedback that you all give on the pod is, this question kind of relates to a little bit of worldview, maybe dovetails into some of what Chris was just talking about. But I'm wondering if any of you would

• 1:23:22Speaker 05

  consider yourselves religious people? And do you leave any room in your analysis for an all-powerful, all-knowing sort of ultimate intelligence that has intelligently designed the universe?

• 1:23:36Peter Diamandis?

  Fascinating question. Who wants to go first?

• 1:23:39Speaker 02

  I'll take that. So if we are living in a simulation, then somebody created that simulation, and that would be the all-seeing intelligence, right? So that's path one. The other alternative is that we have no, we anthropomorphize, and we invent our gods, and then we tend to believe in them. There's clearly a lot of connective energy amongst people. There is the concept, the Star Wars concept of the Force, and we then put images and labels on that kind of a concept to make sense of the world. Because for the most of human history, the world has been a, you know, we lived brutish, short lives. We created

• 1:24:23Speaker 02

  religions. My father used to say, "We invent our gods, and then we believe in them." If you look up John Frum and the cargo cults, you'll see a clear example of that, where an entire religion sprung up spontaneously out of this. And we are very apt to that. But as we get more and more evidentiary basis for the future, then either there is no God, and we're just moving towards a wonderful future driven by technology, or there's a simulation, and in which case it kind of doesn't matter anyway.

• 1:24:54Peter Diamandis?

  Everybody, I just want to say thank you for your time. It's the most valuable asset you have. We love our community and really appreciate you sharing what we do with everybody. Because hopefully, as you see, we put a lot of work into it, and we love it. I want to thank my mates, Alex, and Dave, and Saleem, and Imad.

• 1:25:18Speaker 07

  Pleasure.

• 1:25:19Peter Diamandis?

  All the work that they do. And our production team, to thank Nick, and Dana, and Aiden, and Gianluca, who really support us, you know, seven days, 24 hours a day. So, again, thank you.

• 1:25:34Speaker 02

  And Peter, and Peter, thank you for pulling all this together and forcing us into this conversation, I think. Kicking and screaming in some cases, but it's magnificently important for the world.

• 1:25:45Peter Diamandis?

  And hopefully, you guys all see the love that we share amongst ourselves. My favorite, my favorite time of the week is spending time with my Moonshot mates, you know? The average of five people, yeah, well, I get to hang out with smarter people than I am. All right, everybody, we're going to be doing this again in an evening session. If you want to come again, you're more than welcome to. And again, thank you. Hope to see you guys at Moonshots Live. You can go to moonshots.com to learn more. And yeah, come and come and meet us in person.

• 1:26:13Speaker 28

  At Edward Jones, we believe rich isn't about having life all figured out. It's opening yourself to all the possibilities. That's why your dedicated financial advisor provides long-term planning built around you, meeting you where you are, and helping you get closer to where you want to be. So no matter where you're starting from, you can move forward with confidence. The key to being rich is knowing what counts. Let's find you're rich. Edward Jones. Member SIPC.