Just when you thought Nvidia couldn’t do it again and again, uh, we’re now at 57 billion, 62% year-on-year growth. [music] >> We’re in the beginning of a very long-term buildout of the fundamental infrastructure of humanity, which is computing. >> Nvidia has just become the central bank for AI, and they’re minting their own currency, which [music] is compute. And everybody’s got to buy their currency. There’s got to be somebody who’s going to challenge Nvidia. [music] >> The non-incumbents are are obvious. >> Saudi Arabia is positioning itself as a [music] global AI superpower. That to me looks like we’re seeing the rearchitecting from the ground up of an entirely new sovereign stack. >> Since I was a teenager, I’ve been trying to visualize how the singularity happens and what does it look like in the last few years before the singularity. And now we’re right in the middle of it and it’s it’s just I’m giddy with the excitement.
[00:01:00] Now, that’s a moonshot, ladies and gentlemen. >> First of all, guys, uh what are you doing tonight? Anybody know what they’re doing tonight? I know what I’m doing tonight. >> What are you doing tonight? >> I’m watching on Prime Video the the age of disclosure. Uh Alex, you >> I’m already well into it. >> You’re okay. [laughter] That’s right. It went live at midnight last night. All right. Do you guys know what this is? >> No. >> So, See, um, it is a tell all documentary about the fact that we’ve been covering up alien visitations, spaceships for the last 80 years. So, I can’t wait to see it. I’m going to drag my kids along with with me to watch this thing. I mean, it should be epic, Dave. >> Well, now that you say it, I will. I didn’t have plans otherwise, so I guess. Right. Well, I mean, listen, the the fact that at the same time that AGI and
[00:02:00] ASI is coming online, there’s all of these, you know, increasing evidence of I don’t know. I just think is it causation or causality? Um, or just, you know, >> correlation. >> Correlation is what I meant. Yeah, for sure. >> Well, I mean, it’s definitely tied to to human events that trigger I mean, every sci-fi movie knows this. When you hit a milestone, it triggers something and then the aliens reveal. >> Okay. >> I’ll just comment comment also. I mean I I mentioned in the last episode given enough super intelligence any and all hidden agents become shallow. So we’ll see what happens. >> Yeah. >> You know, Alex, I’m I’m not big on the alien aliens, but I am very big on intelligences everywhere. I really love your theory on that. But after we discover the nature of intelligence, we’re going to find that you can compute with virtually anything and it’s happening all over the place. Uh I I just can’t wait for that breakthrough which is connected. It’s not quite as
[00:03:00] >> I think you know I think it’d be interesting once in a while to have a couple of dedicated episodes to very specific topics like one is what’s intelligence another one could be abundance and what the hell is it and how do you measure it and the and really go deep on that on that topic for a whole episode. Interesting. Yeah. You know what I was thinking after the last episode too is Peter, the future is faster than you think is incredibly timely. And you know, re reprinting that or rewriting it with you. There’s so much that’s changed. It’s just been a few years. But that book, it’s the one on my backdrop, you know, in the in the podcast studio in the office. And I just moved it to the front and center now because really want everybody to to flip through it again. But it’s really really preient. >> Thanks, buddy. Uh the next book that Steven Cutotler and I have written comes out April 14th. that’s called We Are as Gods: Survival Guide for the Age of Abundance. So, it’s a it’s a follow on to the original book, Abundance. Um, anyway, it’s probably the best work we’ve done, but I I agree. The future is
[00:04:00] faster than you think. >> I’m not sure what the what what the new title would be. [laughter] >> Well, it’s faster than you think. >> Oh, no. Clearly, I’m not going to pull a Criswell on this. [laughter] >> Hey, that outro today is unbelievable. I don’t know. The creativity is crazy. But we’ll show it. We’ll show it at the end of this episode. All right. >> Ask the audience during the episode to uh to rebrand your books with uh with video. >> Yeah. Uh sure. >> Or just all of your content, you know. Just take if you want to flatter Peter, take any of his his books, his TV shows, you know, the uh from uh For all mankind, take any of that and redo it through Sora and we’ll post it. >> All right, guys. Let’s jump in uh our Moonshots episode today here with DB2 AWG Mr. Exo and uh you know last episode we had so much content. We really went deep on hyperscalers and it was a great
[00:05:01] great pod. Today we’re going to continue on the conversation. There’s a lot um that we didn’t get chance to cover and so we’re covering it today. Uh and I’m excited for it. Uh let’s let’s begin. Uh we’re going to start this episode today with chips and data centers. All right. Uh here we go. Nvidia beats earnings and has record revenues. So, you know, just when you thought Nvidia couldn’t do it again and again. Uh we’re now at 57 billion, 62% year-on-year growth driven by AI compute demand. Uh Nvidia’s announced 10 gawatts of AI infrastructure deals and and uh Jensen is expecting a $65 billion in revenue next quarter. So quarterly earnings are increasing at an extraordinary rate. Uh let’s dive into this. Dave, do you want to kick it off? >> Well, yeah, just to set context for where we are. You know, Nvidia was a
[00:06:01] graphics card company doing polygons for for video games. the AI community discovered it’s a very good fit for neural networks and then Nvidia just caught the wave and took off. But they’re only about halfway down the journey of redesigning the chips to be perfect for AI. >> And so they can price up the chips tremendously and there’s another, you know, 2 to 10x performance gain in just the architecture and design that’s still in their future. But every time they roll out an improvement like that is a chance for them to, you know, increase the prices by 50, 60, 70% and the community will buy them no matter what. So that’s what you’re experiencing right now with Nvidia. You could argue whether that’s sustainable or not, but clearly there’s more, you know, headroom in in this uh ridiculously high margins that Nvidia has. Can can I give you what I think the real story is? Nvidia has just become the central bank for AI, right? and they’re minting their own currency which is compute and everybody’s got to
[00:07:00] buy their currency. Uh I I think it’s it’s extraordinary. AWG, what are you thinking? >> Yeah, I I I think that party can continue as long as revenue generation continues. And I I think two things need to happen for revenue generation to continue to justify the the trillions of dollars of AI compute capex. And those are automation of the existing service economy and two creating transformative new markets through the discovery of transformative math, science, engineering, medicine advancements. I think we do those two things. The revenue generation continues and the AI compute Nvidia capex party can continue indefinitely. >> Part of the question is, you know, people have thought is this a bubble? I mean, Nvidia is just driving incredible revenues. Now, for me, Alex, my question is who’s going there’s got to be somebody who’s going to challenge Nvidia? There’s got to be somebody who’s going to start developing systems that
[00:08:00] are competitive. Any thoughts on that? >> Well, I think the the non-incumbents are are obvious. They’re TPUs from Google powering Gemini and if you believe the reports, eventually lots of other first class frontier labs as well. you have AMD, you have a whole bunch of of AS6 that are specialized on inference time transformer compute. So I I think we are moving towards a heterogeneous ecosystem of lots of different architectures, not just CUDA. >> Yeah. >> Yeah. And I am not buying NVIDIA stock. Uh and I am invested in a company standard kernel uh which is building AI that redesigns kernels and soon chips to fit specific AI algorithms. And that’s where the Google TPUs, you know, Google has this vertically integrated. We innovate at the algorithm level. We rolled out Gemini 3 days ago. We immediately start designing the next generation TPU to fit the algorithm change. That’s something that Jensen doesn’t have quite yet. And unless he
[00:09:01] invests very very quickly up the stack, uh it’s a big weakness in the competitive positioning >> because you know right now it’s it’s very hard to redesign a chip. But with AI doing the redesign, that cycle time is going to come way, way, way down. And it’s not a manufacturing problem. You know, you just have to crank out the mask. It’s more of a debugging and simulation problem, which can be solved with AI. Every week, my team and I study the top 10 technology meta trends that will transform industries over the decade ahead. I cover trends ranging from humanoid robotics, AGI, and quantum computing to transport, energy, longevity, and more. There’s no fluff. only the most important stuff that matters that impacts [music] our lives, our companies, and our careers. If you want me to share these meta trends with you, I write a newsletter twice a week, sending it out as a short two-minute read via email. And if you want to discover the most important meta trends 10 years before anyone else, this report’s for you. Readers include founders and CEOs from the world’s most disruptive companies [music] and entrepreneurs building the world’s most
[00:10:00] disruptive tech. It’s not for you if you don’t want to be informed about what’s coming, why it matters, and how you can benefit from it. To subscribe for free, go to dmmandis.com/tatrends to gain access to the trends 10 years before anyone else. All right, now back to this episode. We’ve got a couple more stories on Nvidia kicking us off here this morning. Uh let’s dive into that. So, we’ve got uh Nvidia announced his strategic partnership with Anthropic and Microsoft. Uh, so Enthropic just agreed to spend $30 billion on Microsoft Azure cloud, all powered by Nvidia’s latest chips. In return, Microsoft and Nvidia are putting up to $15 billion in anthropic. This isn’t a product launch. It’s the formation of an AI power block. These alignments we’re seeing week on week, right? The the deck keeps getting reshuffled. Uh, Anthropic has been I I guess underresourced with compute. And so this is a a power move by them. Uh
[00:11:00] Dave, you want to weigh in or Alex? >> Well, so you know, I remember very clearly when Microsoft hit a $300 billion valuation, became the most valuable company in the world and we were like, “Wow, that’s huge.” So now Anthropic’s worth 300 billion and a big company is now three or five trillion. Uh and that was not that long ago. Uh and you’ll see that now Anthropic with, you know, they have this 15 billion plus another 30 billion. Uh that’s a lot of capability, you know, and you’ll see them start to do things you’re like, how are they getting that done? How are they getting that done? But but you really have to back up and look at the magnitude of these dollars. It’s incredibly empowering this amount of money. And so, you know, since I was a teenager, I’ve been trying to visualize how the singularity happens and what does it look like in the last few years before the singularity. And now we’re right in the middle of it and it’s it’s just I’m giddy with excitement. But this is one of the ways it plays out. If you if you have true AGI to work with, you can do anything. You can win a Nobel
[00:12:00] Prize in chemistry like Dennis. You can you can change you have unbelievable capability. And if you have the capital to invest in the teams, it the it’s wide wide open. >> I’m predicting I’m predicting a merger between Anthropic and Microsoft here. uh this is clearly them uh kind of diversifying their bets from just open AAI and enterprise is where Microsoft wants to make sure they’re really interesting >> and Anthropic is there so I predict a merger at some point >> interesting you know I I thought you know there are a lot of rumors out there one of the rumors I heard was the potential of Google acquiring Anthropic um but uh you’re right I this relationship sort of quelch that you know there’s a there’s a close relationship ship between Demis uh and and Dario. >> Dario. >> Yeah, sure. >> Yeah. I mean, because they’re the they’re the, you know, of the leaders in the field, they’re the ones that actually go home at night and and play with the algorithms. They write the code themselves and they’re they’re on a
[00:13:00] different level. So, if if you look at Jensen and Sam and Elon, they’re very much business dealmakers and and they’re engineers at heart, too, but they’re they’re they’re dealmakers at heart. They’re not going home and tweaking parameter files. But these two guys are, you know, Dennis. >> Which two guys? Oh, yeah. >> Dennis and Daario. >> Yeah, for sure. >> So, I I think uh I’d be surprised if Dennis is willing I’m sorry, if Daario is willing to let Anthropic get acquire acquired by Microsoft, unless Google just says, you know, we’re not interested at all. But I I really doubt that. I think Daario and Dennis really want to stay as close friends and work together on this. >> Yeah. I mean, it’s >> they’re also the two leaders in ethics. you know, they they both guys at the core of their absolute bottom of their heart are are concerned about ethics and you know, the other guys might be too, but they’re really entrepreneurs. >> That is so Dave, that is such an important point, right? I mean, I’ve heard Demis and Dario talk about this is the right thing to do independent of maximizing profit, right? This is what we have to do for humanity. Uh, and
[00:14:00] those conversations, it makes you feel so much safer in the world when you hear that coming from leaders like that. >> Totally right. And if you if you don’t believe it, read Machines of Loving Grace that Daario took the time to write. It’s epic. And then listen to Demis’ Nobel Prize acceptance speech >> and also the coming wave. Uh, yeah. Okay. >> This is very this is incredibly inspiring. Peter, you identified this in in uh in abundance, right? The tech philanthropists. Uh this is the if you went back a 100 years the richest folks in the world had incredibly extractionary business models and what’s incredible here starting from Google and so on these guys all have a deep ethics sense and they all want to give back and I think that’s so inspiring that feedback loop starts to get really incredible. >> Yeah. Uh I’ll just say one thing and I want to turn to you Alex here uh for your your masterful analysis as always. You know, one of the things I I still feel despite some criticism that, you know, Google is actually always taking
[00:15:01] the long view, right? They’re always taking the how do we help humanity? You know, their original motto, don’t be evil. Uh I remember those early days at Google with with Larry and Sergey. Uh and of course it then became a real business, massive business. But I still think that underlying current of what can we do to make the world a better place uh drives a lot of their decisions especially especially for Demis uh Alex this alignment this power block between Nvidia uh and Microsoft and Anthropic what are your thoughts >> there are multiple power blocks here if you look at the larger picture anthropic is the last of the four or five frontier labs that doesn’t have its own data center and chip architecture play. There are other stories just in the past few days that Anthropic is finally moving into data center space, finally moving into chip architecture, design space. So I I think going back to the earlier
[00:16:00] discussion, I think we we do move to a heterogeneous future where there are these vertically integrated players like Detroit had the the big N largest car companies. I think we’re going to have the the big N frontier AI companies that are vertically integrated with their own data center design, their own GPU or equivalent chip compute architecture, their own models, their own applications. It it seems like we’re moving to this vertically integrated future and I I think this announcement is more a reflection of Anthropic becoming one of those vertically integrated players. And to that end too, uh the >> the big tech companies, you know, are now in a position where they could literally take over any industry anytime they want. >> And the only barrier to them just completely absorbing the entire world at this point is antitrust law. And so they they like these partnerships without acquiring each other uh because it achieves their goal without triggering antitrust action. And and you know, if
[00:17:00] you look at all of them, including Google right now and Microsoft a few years ago, they were stopped dead in their tracks by antitrust legislation, and it’s torture when they’re where they’re subpoenaing, investigating, you know, they they they give you the the they send you a notice that requires you to start saving every document and email. Just that alone is just torture. >> Really important point, Dave. Salem, you were going to say, >> “Yeah, I mean, look, the whole model here now becomes I mean, I I want to go back to the bubble conversation because we I think we’re pretty clear here that we’re not in a bubble, right? Can we say that categorically?” >> Yeah, I think there will be a correction of some type because how much capital is being thrown without regard, but I don’t think we’re in a bubble. We’re we’re aligned revenues and values are going up in parallel. Well, also >> I think it’s a function of this so I think it’s a function of revenue generation. If revenue generation continues to scale really quickly, it’s not a bubble. If revenue generation fails to scale, looks bubbly.
[00:18:01] >> So I’ll make a prediction. I think there’ll be a slight correction as these as these guys do what Dave is talking about and start going after other industries which will take a little bit of time to figure out and penetrate and then it just goes vertical again. It’s like a Gartner hype cycle. Uh and I think this is also a hedge for Microsoft against a full dependence on open AI, right? This relationship they’re getting with uh with uh Anthropic. All right, let’s go on to our our next article here. Again, an NVIDIA article. Nvidia may shift from GPUs to full AI servers. Uh let’s go to you, Alex. What’s the story here? Yeah, [clears throat] I I I think the bigger story is for the first call it 60 or 70 years of electronic computers, the form factor of computers got smaller and smaller. We went from mainframes to to mini computers if you remember those to micro computers to PCs, then to smartphones and and maybe wearables. That that that that’s a pretty monotonic trend towards the form
[00:19:00] factor of standard computers getting smaller and smaller. probably peaked sometime around call it the 2000s or 2010s. But now I think we’re actually seeing that cosmic calendar of of compute form factors reverse itself. That the key form factor of the most important computers is arguably now starting to look like these AI data centers, these coherent superclusters, and they’re getting larger and larger again. And and I I attribute that to Moore’s law ending, as as sad as that is, and the beginning of horizontal exponentiation. So I I think seeing Nvidia generalize and vertically integrate from just offering the chips to full AI servers is is actually a reflection that the form factor for computing is now no longer getting smaller. It’s just going to get bigger and bigger and bigger until >> Is there a name? Is there a name, Alex, for what’s the next version of Moore’s law? >> Is it the AI scaling laws? Is it >> if you ask if you ask Ry, he’ll talk about the law of accelerating returns and and he’ll point to a much broader trend that generalizes beyond electronic
[00:20:01] computers or CMOS. >> But is there equivalent for our GPU world that we’re living in? Are we going to create a Wang’s law or Jensen’s law? >> There there are dozen there are dozens of experience curves. I mean, if if you want to name one after yourself preemptively, you probably can. uh that their naming rights are still open, but but I there are so many experience curves now, including the one that we were chatting about for the past couple of episodes about hyperdelation by 40x year-over-year of cost of intelligence that there are so many new experience curves coming out of AI. >> I’ll I’ll make one on the spot though. It’s this is the law of abundance, right? Technology takes something that’s scarce and makes it abundant. >> But it has to be quantitative, Sem, to get the naming right. >> Fair fair enough. I mean, >> and I think the short answer to Peter’s question is no, and it’s wide open. If somebody out there listening wants to, it has to be simple and quantitative, like Alex said, and people have to, it has to be accurate, you know, it has to last a while. That’s a good challenge. >> All right. Uh, >> for me, this was, by the way, for me,
[00:21:00] this was like an iPhone thing where the iPhone succeeded by owning the whole stack from design to experience to hardware all the way down or trying to get the whole ecosystem. And this is Nvidia trying to grab the whole ecosystem and create more value and aggregate more value in one spot. >> Agreed. All right. Uh the next article here is uh is a fun one. Uh XAI will be the first customer for an Nvidia backed data center in Saudi Arabia. Uh a lot going on here. Um and I think uh basically Saudi Arabia is positioning itself as a global AI superpower. All right, this is part of their vision 2030 play uh their commitment to hundred billion dollars. They’re trying to diversify behind oil and you know I’ve been going to Saudi at least once a year, sometimes twice a year in my board role at FI and the conversations uh very
[00:22:01] clear. MBS who runs the the nation you know the Kingdom of Saudi Arabia he has wanted this he wants to be you know their goal was number two behind the US in AI obviously you know US China maybe it’s number three position but this has been at the top of the conversation across the leadership of the Kingdom of Saudi Arabia now for for years and this is a massive commitment um and this also brings brings Musk what he needs most, which is massive GPU capability. We’ll talk about that. Alex, let’s go to you first. >> Yeah, I I think the the story behind the story is, as I’ve said before, inference time compute and these this data center AI data center capex, this is just the opening act for an entire stack that that’s about to pop out, including AI powered humanoid generalist robots. So when I see stories about countries
[00:23:00] positioning themselves for sovereign inference time AI inference compute, that to me looks like we’re seeing the rearchitecting from the ground up of an entirely new sovereign stack. It’ll start with the the data center inference compute. it’ll run through humanoid robots and and you’ll see I I think Saudi Arabia and other countries probably it beyond just demanding sovereign inference compute starting to demand sovereign compute for humanoid robots as as humanoid robots start to be more broadly deployed all of societal automation to the extent we have sovereign countries in in the present paradigm this entire stack wants to be sovereign at least at inference time >> Dave >> well there’s a long long history of the US uh needing international partners. You know, in biotech uh we can’t just try everything here. The FDA is way too slow. So you you roll out in Panama, you roll out in in Caribbean nations. And then in chemical manufacturing, you know, India just took off long before
[00:24:00] the the US because regulatory barriers make things so [snorts] slow here. So in sovereign AI, uh Saudi is going to move much much faster. I think actually Bermuda also uh are going to move much faster. they’ll learn and and everyone’s like, “Well, who cares about sovereign AI?” Well, at the rate of technical change, we need a much faster process of creating laws and rules. And so, I think, you know, Saudi will be a a great test bed because they’re so nimble. You know, they they can make a decision and act on it instantly. And you see this with things like simple things like health data, >> miles ahead in health data. Trying to do anything under HIPPA in the US takes like just way too long. Um, can I just tell you what I think one of the underlying stories is here that that I want to just hit on and then Sim I want I want to hear from you on this. It’s that uh XAI needs compute. XAI needs mass amount of compute for Elon’s vision to happen and they’ve got Colossus 1. Um, they’re about to get online Colossus 2. But if you look at
[00:25:02] sort of the players out there, you know, Google by far is the number one owner of compute on the planet with their TPUs and GPUs. OpenAI is next. XAI is coming in third. So this relationship um has got to be critical for for Elon as he’s standing up in Memphis and Mississippi, you know, classes one and two. Um any thoughts on that, gentlemen? Well, one one takeaway from our trip to Saudi two weeks ago is I had gone in thinking that it’s just going to be a massive amount of compute all over the desert, huge data centers. It’s actually much more of an investment vehicle. I think they’re building big data centers to learn and their goal is to invest a trillion dollars as intelligently as possible. But I think you’ll see later in this pod that the data centers are more likely to go to to Texas and then space and Saudi will be along the way, you know, but it’s not going to be like Saudi is the compute capital of the world. It’s just a it’s more of a a learning experience, a test bed and a
[00:26:01] sovereign, you know, a controlled, you know, subset of compute. >> Sim thought, please. >> I I got nothing. Um, you know, this is like there’s this sequence of these stories that that just run from one to the other. each one order of magnitude more crazy >> and my brain is just blurred and fogged up with all of this and I mean they’re all amazing and significant >> but the the broader implications is something that I’m more interested in but for the specifics of this let’s move on you guys have covered it way more >> yeah I I just you know one of my questions is uh uh XAI is I mean they’re all comput starved right so XAI in particular needs uh Nvidia chips and he is getting them left, right, and center. I think one of the things we’re seeing is Elon’s getting access to Nvidia chips uh very early as he’s been building [clears throat] the Colossus clusters. I’m just wondering, and there was a rumor I saw out there about Elon potentially buying Intel, right? I mean,
[00:27:02] that would be a fascinating move by him uh to >> Yeah, that’s one that actually, you know, well, anyone buying Intel would be a genius. Uh but um he might actually get that through the regulators cuz he’s not you know Google could never get away with it >> and certainly Nvidia could never get away with it. >> But could you imagine the world if if Elon was running Intel just to accelerate it? I mean to just literally move it warp speed forward. That would be amazing. >> That would be incredible. And you know, keep in mind also that, you know, Elon’s getting tons of Jensen’s chips, but he also signed up for 16 to 45 billion dollars of Samsung manufacturing to make his own chips. >> So So that’s not exactly, you know, hey, let’s they they’re going down a couple different paths, some of which are competitive. If you pull back one second, the multi-polarity of this I think is the most exciting thing for me where they’ve got major different parties doing amazing things and that means the whole it lifts that rising tide lifts everybody. I think that’s
[00:28:00] really great. >> Yeah, Alex, do you want a final comment before we move on or you good? I’ll just I I’ll just say there is a race to super intelligence and we’re going to get abundance from super intelligence and each one of these stories is just as Sem says as a facet of this common theme. Nice. All right. Uh this is one of my favorite stories of uh this week. So I want to dive into this. I care about this deeply. I know Alex you do as well. All right. This is Elon talking about 100 gawatts per year uh data center installation in orbit. Uh let’s listen to the video and we’ll go from there. >> Like like we see a path to to putting 100 gawatt per year of solar powered AI satellite into orbit. um and and having this be actually the lowest cost way to uh power and operate
[00:29:00] u AI at a very large scale. Um for reference, the United States consumes roughly 460 gawatt on average per year because the average power load in the US is 460 g. >> The whole country. The whole country. >> All electricity of all sources in the US. Yes. And you’re talking about a hundred being added. >> Well, roughly a quarter of the US electricity output. >> That’s we have we have a plan mapped out to do that. >> It gets crazy. [laughter] >> It does get crazy, but that’s 100 gawatts per year, not in total. Uh >> yeah. >> Do we have a timeline for that? >> You know, well, listen, Star Starship has got to become up and operational on a regular basis, which uh you know is something I think we’ll see in the next 12 to 18 months. Um, and you’re then basically taking compute off planet on Starship. But what I find even crazier, and Alex, we can talk about this, is
[00:30:00] >> Elon’s plan to mine the moon for silicon, right? So, we’re going to mine it for compute and solar power. And I think his estimate of what he could do if he was launching using O’Neal like mass drivers off the surface of the moon is to go from 100 gigawatts per year to 100 terowatts of energy per year which is five times the total energy output of the earth. >> As I as I’ve said the moon’s had it coming for a long time. [laughter] >> Time to make use of that >> time to pay up. I mean it just to take a step up. It’s it’s remarkable how quickly we moved from the Dyson swarm is science fiction to okay, we’ve we’ve deployed an H100 to orbit to now we’re deploying multiple 100 gawatt data centers in in a swarm in in LEO geo and and probably soon solar orbits. Yeah, we the the Overton window just zoomed by on the Dyson swarm and and I I think now we’re we’re moving to a regime where we
[00:31:01] have to potentially worry about interoperability between multiple competing Dyson swarms, maybe even thinking about an internet. We’ve talked for decades about an interplanetary internet. Now, while there were limited efforts in that direction, now I think we’re we’re about to hit a regime where we really do need >> surf was designing that version of that. Yeah, the interplanary interplanetary internet. Yes, for sure. >> Uh, can we take >> Wait, can we go back to the timeline? What do we think is the realistic timeline? >> Exactly. Let’s come back to the timeline because I don’t think it’s as long. You know, we talk a lot about robotics, you know, refactoring construction all over the world, but that’s a pretty long 15-year timeline. I think this is actually sooner than people might think. I’m a huge believer. I’ve been studying it since, you know, I didn’t believe a year ago. I was like, why why on earth would you want to reboot a server in space? But uh now if you think about the cost of compute coming down a,000 or 10,000x is there any barrier to that? And the answer is no. There’s no barrier
[00:32:01] whatsoever other than power >> and power is free and abundant in space. And then the only barrier after that is radiant cooling. But they they’ve they’ve you know we have our first 100 in space >> there’s work to be done on cooling the systems. And just for a reference point, if you take into account dayight cycles and the you know the solar flux in orbit uh and other factors, it’s about potentially a six-fold increase in energy density in orbit versus on the ground. So that’s what you’re doing plus the fact that you have um the ability to distribute compute and bring it down bring down the answer to the speed of light. Uh can we just slow this down for our our listeners a second? In the first phase of this, we’re talking about using Starship uh to launch this next generation of Starlink. So Elon’s already built the largest satellite manufacturing capability on the planet, right? Starlink, they’re like 10,000 Starlink satellites. They’re going to version three coming up very shortly. They’ll
[00:33:01] get launched on Starship. And so the next iteration of that is going to be putting whatever the top chips are in orbit, powering them from solar, and then the biggest challenge, Dave, you nailed it, is is how do you cool them? Now, you can do radiative cooling, but there’s no material, there’s no atmosphere, there’s no liquid water to carry the energy away, the heat, right? Heat is one of the biggest issues you’ve got. >> Space is space is absolute zero. I mean it’s got to be easy to to create that mechanism, right? [laughter] >> Take it away. >> Hold on. Just let me ask one more question and then we could guys pay. So basically you get a satellite up there, it unfolds a solar panel that collects the energy, you do the compute on there and then beam the information down essentially that’s what we’re talking about. >> Yes. >> Yeah. Exactly. >> And beaming the data back and forth is easy, easy, easy. A lot of people think, well, how are you going to get the data up and down? That lasers and it’s trivially easy. That’s not a problem at
[00:34:01] all. Le let’s go to our let’s go to our res our resident super genius here. Alex, talk to us about radiative cooling and there >> there is this misconception that that you can’t operate a a thermally intensive data center without conductionbased cooling. It’s completely not true. Uh the the solution here is the cosmic microwave background is about 3 Kelvin. The universe on average is pretty cool. The the trick is you you want to make sure you’re radiating in the right direction. You don’t want to try to radiate heat, for example, in the direction of the sun. That won’t help you from a thermodynamics perspective. But as long as you can make sure that you have radiative cooling in the direction of the cosmic microwave background, which is most of the sky, you make sure that you aim your your radiative cooling in the cooler directions, you’re fine. Uh, and you can use radiation rather than conduction to radiatively cool. So, so there there’s a bit of navigational issue with making sure that you’re pointing in the right direction, that you’re oriented correctly, but this is completely doable. And to the timeline question, I
[00:35:01] I would be mildly, if not significantly, shocked if 10 years from now, conservatively, we don’t see low hundreds, if not many hundreds of gigawatts of AI compute not on the Earth’s surface. >> Yeah, I think Starship is the means, right? What I mean just to be clear which is amazing this is an attempt to move the bottleneck of AI from Earth’s power grid to SpaceX’s launch grid right so in other words all of a sudden it’s not power on the ground it’s how many launches to orbit we can get and alignment what Elon has built in his ecosystem of XAI and Tesla and you know and SpaceX is extraordinary I mean is it love or is it genius >> and an extremist Maybe both um in in in some quantity, but in extremists this involves taking apart the solar system, which is I think the perhaps the most tantalizing. >> You you are dying you are dying to nail the solar system, Alex. [laughter] Like you’re just like that is waiting to be >> He’s going to accelerando, right? But
[00:36:01] >> disassembling the moon is just a milestone. If if Jupiter isn’t decompiled, then there’s something wrong. >> Okay. To our listeners, if you’re if you if you love looking up at the sky and seeing the moon, don’t worry about that. Enjoy it while it lasts. [laughter] >> Okay, but let’s actually talk about that part. So, Gerard K. O’Neal, professor of physics at Princeton University who I consider a mentor for me who passed way too early. He wrote a number of books, a number of papers about how do you mine the moon? And one of the things that’s true about the moon is there is no atmosphere and there’s a lot of solar flux. So, he came up with the idea of creating these mass drivers. basically these electromagnetic guns that you could put something in one end, it’s accelerated to lunar escape velocity and you shoot it towards the earth. And so what Elon’s been talking about here is basically the idea of you set up satellite uh you know data center
[00:37:00] manufacturing on the moon and you launch those using rail guns uh into earth orbit and his objective 100 terowatts of capacity per year. Yeah, I think one thing that was a big shift uh in the last couple weeks, you know, the first H100 went into space two weeks ago. Uh it’s operating, it’s cooling using aluminum only as the radiator. And you know, prior to this, everyone was thinking you need obscure metals and and whatever, but apparently it’s working and it’s aluminum only. And if you read Peter’s, you know, books, the first chapter of abundance, uh the great best story ever, please read it. 7% of the Earth’s crust is aluminum. We don’t have enough aluminum aluminum oxide. So, it’s a great story to read. Anyway, Ply the Elder and that’s just such a good story. >> Thank you for Thank you for listening to that. >> Well, that’s a big breakthrough. So, now if you want to make money today on space-based compute in the future, we
[00:38:00] have to get the weight down. You get the mass down. That first H100 is 50 kilos. That’s, you know, way way too much. Most of that’s sensors and stuff. It’ll be very easy to get it weigh down. but invest in whatever it’s going to take to get the mass down so that we can launch these more cheaply and you know eventually we’ll make them on the moon but that’s way out there you know right >> you know the a data point that I talk about a lot is when we were launching space shuttles it was what $600 million per space shuttle launch >> yeah about about a billion dollars per launch yes >> SpaceX dropped it to like 50 to 100 million and then relativity space where Eric Schmidt is now the CEO etc plans to do it for about5 to7 million launch and I find that interesting That’s like a 100x drop in a domain. This is not a Silicon Valley social media gaming play. This is real physics trying to get out of the gravity well of Earth. And even there we’ve seen 100x drop. uh and what can you do with 100x more capacity and it’ll go another order of magnitude by the next time I >> I was in a conversation uh with Elon uh couple of days ago when he was briefing
[00:39:02] some XAI investors and not disclosing anything confidential but one of the things he said is in the future if you could set up a Starship launch facility on Earth next to a natural gas production capacity right because that’s that’s what it’s basically burning methane uh and you could then use solar to pull oxygen out of the atmosphere so that the fuel basically is effectively free. Uh his estimate of the cost of transport uh would be it would be cheaper to go to orbit as an individual seat ticket than it would to be to fly transatlantic as an individual. I mean this is an incredible vision he’s been building. Uh and I want to put one more one more figure for our listeners. We talked about 100 gigawatts per year of capacity being launched in, you know, the next decade or so. Uh that’s the equivalent of 100 nuclear power plants, right? These are typically one gawatt
[00:40:01] capacity. I mean, that’s awesome. >> All right. >> Well, I’ll tell you what else is awesome is that the people who are making these choices are math, physics, computer science geniuses. And if you look back in the history of business, you know, it’s Jack Weld, she’s great, but John Chambers, you know, these were the people running, you know, the the billion hundred billion dollar kind of budgets, but they didn’t have that background. And so now, you know, when Elon talks about these things, he’s he’s almost always right. In fact, so far, he pretty much always right because he looks at first principles and he actually does the math and he says, “Look, that’ll never work, but this actually will.” It sounds crazy, >> but it actually will work. There’s no fundamental barrier. So, it’s just a different community making these choices than ever before in history and and you’re seeing like the things that are possible actually starting to happen. >> Alex, want to give you the final word here on this one, please. >> You know what? Saturn has it it its fate marked as well. >> Oh, no. Stop. [laughter] Stop taking apart our solar system.
[00:41:02] >> Solar system is a a a dead mass right now. We’ve got to fix that. >> Oh my god. Computronium. We’re turning it all to Computronium. >> You You can’t actually disassemble the moon. And it controls the tides. >> Not only the tides, but also the the molten core of the earth, the magnetosphere requires the moon. We can’t disassemble the moon. You can do Saturn. No problem. I have no problem. >> Thank you, Dave. Thanks for defending our our sisterly body here. All right, let’s jump into the topic of energy. Uh you know there is we talk about compute as energy and energy as compute. Uh so I put this chart here for you Salem principally. So here we’re seeing uh China is driving global electricity generation. On one side of this chart, if you’re listening, not watching, is the change in electric in electricity generation over the last 12 months, September 24 through uh September 2025. And what we see here is uh China
[00:42:00] basically for 4xing the US uh in terms of uh of total energy production. Uh we’re seeing uh China leading the world in solar uh and in wind and in nuclear uh and in gas. Uh and then another chart next to it is a change in electricity generation and uh just by itself. So we see again uh this is China uh basically putting out around 325 uh uh terowatts versus the US putting out about 80 terowatts. Um sem over to you. >> Um there was one little piece of this that I found very exciting which was that big red drop in coal. >> Um we’ve been predicting this for a while where the cost of solar is now so cheap. Um, you know, I’ve mentioned before that the capex and opex of solar is now cheaper than just the opex of
[00:43:00] fossil fuels. And what we’re now seeing is that uh just the economics of it mean we’ll start to dismantle all of our fossil fuel facilities unless we need incredibly dense energy generation, but for most normal use, we’ll be doing that and then moving fully to solar. And I thought that’ll be hugely powerful and important for climate change and all the carbon extraction stuff that we need to do. I I just think this is a you know shocking difference in energy capacity production between the US and China. I mean you know kudos to China for having really uh gone all out. I’m kind of shocked at this point that we haven’t seen President Trump stand up and say we need Project Warp Speed for energy. We’re seeing it in different places. We’re seeing regulations change uh and >> yesterday they said we’re going to make all this drilling in open water available and there’s a there’s a big paradigm shift that’s missing on the power of solar energy and other other
[00:44:00] >> well solar and fusion and Gen 4 nuclear all of these things I mean we’ve got to be if the US wants to be competitive in the long run I mean unless we skip this entire you know decade and go straight to orbit, right? That’s the that’s the alternate. Alex, what are your thoughts here? >> Yeah, I I think we have seen an operation warp speed for at least certain energy categories including nuclear and maybe certain fossil fuels. So, I I I think I I I think that the increase toward call it Cardartesev type 2 civilization level energy production I I think this is going to happen with time. Barring some shocking ontologically shocking discovery about the nature of our universe, it seems like we’re on trend. And whether one nation is temporarily in the lead or another is temporarily in the lead, I I think the long-term trend line is visions happening, fusion is going to happen. Maybe there will be even more efficient ways to to recover energy. As
[00:45:00] as I like to point out, if if we had microscopic black holes, we could just drop objects into them and recover their rest mass. that in principle would be far more efficient than than fusion power. Fusion is like 4% efficient. Fision is less than 1% efficient. We could recover nearly 100% of the energy associated with rest masses if we could just drop objects into black holes. So physics, the physics, the known physics of our universe allows enormous amounts of energy production. I I think whether one country is ahead of another in the short term, the these are just non secular >> bliss. But Alex, we are electricity limited in the US on our we’re not chip limited. We’re not real estate limited. We’re electricity limited. >> And I’m just >> for the moment. >> For the moment. I mean, this is a blip. Again, Fision is in the process of coming online. Fusion’s in the process of coming online for the moment. >> Uh, okay. I’m just calling it like I see it, which is when I when I see the timelines for fusion, for real
[00:46:02] production of fusion, uh the earliest I mean it’s going to happen, yes, but we’re talking 2030 to 2035 for the first plants and then mass production really till 2040. That’s that’s 15 years out. That’s insane. And then the timelines for even bringing existing uh fision plants back online are like 5 years. Um, so >> minimum >> exactly right, Peter, like the the the the gap like we’re fine through 2030 because we’re looking for 100 gigawatts and we can’t make the chips any faster anyway. So between here in 2030, we’re fine just taking old manufacturing power and redirecting it just like Elon did in Tennessee, you know, redirect it toward data centers. But then from 2030 to 2035, we have a massive gap because the chip fabs have accelerated like crazy. Fusion kind of works, but it’s not online yet. And then there’s this big gap from 2030 to 2035. And keep in mind, as Alex is always pointing out, we’re going to discover brand new physics and
[00:47:01] math between now and then. So, anything could happen. >> Yeah. I just think I think solar is the easiest to scale other than oil and coal. >> I’m predicting we’ll see a massive breakthrough in photonics or some of those domains over the next couple of years, >> but [snorts] we’re in for a 5 to sevenyear uh difficult period. And I think the only option is to steal all the energy from residential. >> Yeah. Don’t [laughter] go there. Don’t go >> I I I think I think >> that’s the only option. >> I there are lots of options. And I I would say also don’t underestimate the power of the market. If if the the party continues, the capex party continues and revenue generation from killer new AI apps continues, we have the ability to reprogram the existing electron electricity production of our civilization to extraordinary degrees. if if the market absolutely demands and I think we’ll know the answer to that in the next few years. >> You know, we should have Saul Griffith on. He’s he probably has the most macro view of all this stuff. >> Yeah, Saul is great as is Rome in in
[00:48:00] this area here. Um all right, I’m just I’m just saying we need to scale up solar in the US. Uh Propskite is coming. Super excited about Propskite as a technology for higher energy uh you know conversion rates and lower costs. All right, let’s move on to this next article here. Uh, fascinating. Google’s investments run deep in the heart of Texas is the is the concept here. So, Google announces a $40 billion investment in Texas through 2027 to build new cloud and AI infrastructure. The project is adding 6.2 gawatt of new energy generation uh and and a $30 million energy impact fund. You know, when I see 6.2 2 gawatt of energy and I remember 100 gigawatts per year in orbit. Uh these things sort of just uh you know they warp my mind. Space is is beckoning and calling. But here’s what the real story for me is. Like Google isn’t just going to Texas for sunshine
[00:49:01] because part of this investment includes uh renewables. They’re going because AI is about to become the biggest consumer electricity in the US. It’s going to be bigger than steel, bigger than crypto, bigger than every industry combined. And I think Texas is the only state that can build fast enough in the energy world. So, >> well, and they have space >> and they have Yes. They have open area >> and and a friendly regulatory environment. Texas is doing a great job of welcoming energy data centers, AI leadership. I I would love to see other states >> launch vehicles. Yeah, launch vehicles would love to see other states provide as welcoming an environment for for acceleration like Texas is doing. >> They’ll have to this is they’ll just the competitive nature of this will will open this up. >> I don’t know. I I wish that were true, but if you look at what’s actually going on in California and elsewhere, it’s like come on guys. I mean, I don’t know.
[00:50:00] >> Yeah, >> the government’s so messed up. in the uh >> no but this provides a natural competitive opportunity for many many states that have a difficult time competing with say California and New York. >> It’s one of the best parts of the US having having different state uh legislatores. You know the United States of Texas is definitely pulling uh pulling in some great opportunities here. >> There’s one problem with the US right now in that that you have to drop the word united off everything. It’s not really [laughter] >> Yeah. But, you know, that’s been true since the 1700s. And, you know, as long as people don’t get violent, the the variety is actually very healthy and that, you know, the internal competition is very healthy as long as it doesn’t tip over to dysfunction, which it does every now and then. I I agree. But, you know, having we’re founded on freedom and we’re founded on variety and and a weak central government and strong local governments, you know, and and trends go in the other direction all the time. But but I I think you know Texas running away should put competitive pressure on other governors and the governors in Ohio and Wyoming have reacted already.
[00:51:02] Uh so it does work. You know it’s just the pace is just frustrating. >> This episode is brought to you by Blitzy autonomous software development with infinite code context. Blitzy uses thousands of specialized AI agents that think for hours to understand enterprise scale code bases with millions of lines of code. Engineers start every development sprint with the Blitzy platform, bringing in their development requirements. The Blitzy platform provides a plan, then generates and pre-ompiles code for each task. Blitzy delivers 80% or more of the development work autonomously while providing a guide for the final 20% of human development work required to complete the sprint. Enterprises are achieving a 5x engineering velocity increase when [music] incorporating Blitzy as their preIDE development tool, pairing it with their coding co-pilot of choice to bring an AI native SDLC into their org. Ready
[00:52:00] to 5x your engineering velocity? Visit blitzy.com to schedule a demo and start building with Blitzy today. [music] >> This next article here is a really fun one. It’s an important one. Uh the title is X Energy begins construction of the first category 2 nuclear fuel facility. Uh kudos to Cam Garian. Cam is a friend. He’s on my board at X-Prize. Uh he’s the chairman co-founder of uh of X Energy. And this isn’t about creating a new facility, a plant uh for producing energy at a nuclear plant. It’s about creating the nuclear fuel. Uh something called Triso. TR R IO tructural isotropic fuel. It’s an advanced nuclear fuel. One of the safest, most robust ever created to power the next generation of SMRs. Alex, let’s go to you on this. >> Yeah. So, the headline is pebble bed nuclear is finally happening. After
[00:53:00] decades of people hand ringing when are we going to get pebble bed reactors, we’re getting pebble bed reactors. This >> So, what is a pebble bed reactor, Alex? >> What is a pebble bed reactor? So think think of a pebble bed reactor a little bit like a gumball machine where you have sort of billiard balls sized spheres that are have uranium cores or have lots of particles in them with uranium cores surrounded by uh carbon ceramic composite. And the basic idea of of pebble bed reactor is you have all these billiard balls. They’re they’re being heated by radiation from the uranium cores. You pass helium gas through the the gumball machine as it were. The helium gas is heated by radioactive decay and that powers steam turbine and that generates electricity. But critically this is much safer than than many other forms of of nuclear reactor because the individual uranium cores are are nicely encased and they over time you could imagine sort of this gumball machine where the these spheres
[00:54:02] these billiard balls fall over time. They they decay about 3 years of of uh of lowering these spheres in one gumball machine. They’re offloaded into another and then recycled a few times. But it’s the these pebbles, these these gumballs, if you will, because of the way they’re packaged up. And this is what our country’s first Cat 2 nuclear fuel facility in this story. That that’s the announcement here. We’re finally manufacturing these pebbles domestically. This is in principle far safer than the fuel rod based earlier generations of of nuclear reactor. >> Yeah, I think one of the key points to make is these don’t melt down melt down. They literally cannot melt down as a nuclear reactor which gave us Fukushima and Three Mile Island and all of those failed earlier versions. So uh again kudos to uh to Cam Garian and and this is you know this is first principal uh
[00:55:00] capabilities driving us towards a new generation of of of nuclear. >> It’s it’s unfortunate it’s taken us this long. My father worked on pebble bed nuclear reactor. Really? >> Yeah. He was working on that in the 80s and he was going crazy going why the hell aren’t we using this for everything? >> This has been decades. This has literally been decades coming. We we spoke in a previous pod episode about thorium reactors which go back to the Manhattan project. There are so many concepts for nuclear energy and energy in general that have been sitting on the shelf in in some metaphorical sense for decades if not almost a century that are finally only now being put out into production. Wow. >> It’s not often I can see a term from some of these obscure scientific stuff that I recognize, but this one I saw. >> Wow. You know, this is I mean there’s a really important point here. AI is the string pulling everything forward, right? So AI is driving all of the technology we’ve been thinking about forever. It’s driving us into orbit, you know, it’s driving us to go back to the moon. It’s driving us to to build global
[00:56:01] energy infrastructure. >> I I prefer the analogy of a gravity well, but I’ll go with string. My my modal I mean just maybe riffing on that point, Peter, my modal scenario for the next 10 to 20 years is like most science fiction concepts all happen at once. We’re going to live in a future where it’s not just like a Star Trek future, not just like an Accelerando future, not just Heinland or or Azimov. They’re all going to happen more or less at once in the same universe, our universe over the the next 10 to 20 years. >> What you said what you said, Alex, still rings in my mind. We’re going to speedrun the Star Trek universe in the next decade. the Azim of Universe and Heinland and Charlie St. all of these are going to happen. >> Maybe we need to rename the pot to be everything everywhere all at once. >> Yes. Oh my god. >> I think that one’s taken. >> Uh but what an exciting time to be alive. I just again, you know, this vision of uh people complaining. I get it. Uh yes, there are problems on the planet, but also what an extraordinary
[00:57:02] time to be alive. I mean, when when on during Earth’s history would you ever prefer to be living other than now, other than perhaps tomorrow? Dave, you want to close us out on this one? >> Uh, I’m just going to repeat Alex’s the innermost loop of humanity is what’s driving this. This is it’s AI at the core. It’s the innermost loop and everything around it is accelerating because of because of that innermost loop. So, it’s it’s yeah, it’s just so so exciting to watch. All right, let’s jump into drones and robots. Uh, a lot going on in this universe here. I pulled this this particular story out because I love this company. This is a company called Zipline, uh, that’s about to begin producing their drones, their delivery drones at 20,000 per year. Uh, this is Keller Clifton, the CEO of Zipline, an amazing entrepreneur who built this company against all the odds. Let’s listen to Keller and then we’ll talk about it. everyone. Uh it has been
[00:58:01] an insane two months, but I thought it’d be cool to give a two-minute update. I’m standing in our uh expansion space for the manufacturing facility as we speak. We’re getting ready to build 20,000 autonomous aircraft a year, all here in South San Francisco in the United States. Right now, we’re growing the number of deliveries we do per day at around 15% week over week. And we’ve been growing that fast for about 30 weeks straight. You know, a lot of our customers out there are placing orders three to four times per week. In fact, some customers are ordering three times a day. People actually just fundamentally change their ordering behaviors. You know, some people are grocery shopping once every one to two weeks and then ordering from Zipline three to four times a week just to do fillins. We’ve also been able to launch a [music] new Walmart Super Center every week across Dallas over the last couple months in the US. Right now, Zipline is doing an autonomous delivery about every 30 seconds. We have one very big announcement that we’re expecting to come out in about 10 days. So, thanks for believing in us and stay tuned. >> All right. uh an incredible story behind Zipline. Uh they were founded in 2014.
[00:59:03] They’re headquartered in South San Francisco. Uh this was a a vision that Keller put forward. And you know, I did a Moonshot recording uh with Keller. You can go back in our library and and find that podcast. And I remember him saying when he started the company, um he told his employees there was like a less than 10% chance of success. uh and they started in in in Rwanda and Ghana and it was a sort of regulatory arbitrage you know flying drones to deliver things the United States without having support of the FAA and DOT wasn’t going to happen but in Rwanda and Ghana there was a real problem uh and they focused on that problem which was delivering blood and critical medical supplies uh to different parts of the country from a central repository and they screwed up in the beginning. It was difficult but
[01:00:00] they got it better and better and better and finally they were operating at such a high success level that they were able to bring those operations and by the way they operated in Rwanda and Ghana from their headquarters in South San Francisco. Uh an extraordinary story and today they’re doing about a million commercial deliveries uh per year. They’ve flown 70 to 100 million autonomous miles. Uh they’re doing this for uh a whole bevy of of companies uh Walmart, Chipotle, and others. You know, sort of a 30inut retail to delivery capability. Uh Alex, excited about this one. >> Drone delivery is happening. It’s happening here in the United States. It’s here happening in China. And I I think it’s an interesting thought experiment to ask what happens when this is fully realized. This is a fully mature technology. I I think it leads to a ultimately I think a relocization of the supply chain. We’ve we talked earlier in this episode about sovereign stacks. I I think ultimately if if you
[01:01:02] extrapolate the ability to to do drone delivery of supplies and supply chains. I I think ultimately we’re going to find ourselves in a regime with hyperlocal manufacturing. And I I think this is very exciting. We we asked for flying cars. I I think that this is in microcosm the first version of flying cars where in the near-term future optimistically we find that our skies are filled with delivery drones. >> Yeah. Couple points here. Um one is this is a such a big thing. This is one of the Gutenberg moments that changes everything, right? AI changes everything, but drones really do change everything. We’re seeing uh the last number I saw were we’re saving about a thousand people a year using drones because we can use thermal imaging to find people in earthquakes and so on. We’re dropping in uh life-saving stuff to them. Uh and it’s going to grow exponentially as we propagate the drones. So this is going to be very very big over time, but it’s already had a
[01:02:01] big big impact. Um I remember in 2010 one of the singularity teams um kind of launched this idea of drones by delivery and then Amazon a few months later copied that and announced they were going to do delivery by drone and that has inspired a whole vector of all of this. So really really exciting to see >> and of course Google Wing uh Wing which is part of the Alphabet. I had the CEO of Wing on my stage at the Abundance Summit uh last year I think it was. Uh again, Zipline just a beautiful design. Uh if you go back to the pod that I did with uh with Keller, I don’t know about 18 months ago or so. You can see how they operate. They can set up in your store an automated lo automatic location where the drone comes back, picks up the next order and delivers it. uh a lot of drones flying in the air and these drones of course have cameras and sensors. These drones are going to be helping to create this uh imaging of the surface of the earth at millimeter resolution when there are millions of
[01:03:01] drones flying in the air. Dave >> and for many years two two more quick points for many years they were doubling at nine at every nine months the price performance was doubling so that’s a hell of a curve to be riding on and let’s also acknowledge China is already doing delivery of coffee by drones and all sorts of stuff they were living in this universe already >> yeah big time big time it’s that last point that Peter made that I really was hoping Peter would would do a a relaunch of the future is faster than you think one of his best-selling books but it talks about this topic a and it’s all about converging technologies. But that was before the neural netbased vision and feedback control systems were perfected, which is really just the last year or two. And that’s a total gamecher in that whole thesis. But I I had dinner with Rodney Brooks and uh do you remember Helen Grainer from MIT? She she and Rodney co-founded iroot. >> Yeah, I talk about her in my next book. Yeah. Yeah, for sure. >> Oh, do you? Okay. Well, she’s doing the turtle now, which is a uh basically a gardening and farming robot. Uh, and I’m
[01:04:01] sure she’ll expand it out from there. But you know, I had dinner with Rodney Brooks and he [clears throat] was really down on the supply chain for robotics and he was like, you know, what happens is we invent it. It’s great and then the Chinese come and clone it and then they undercut your pricing and they sl like, well, okay, >> that’s what happened to iRoot. I get it. >> But that was before the vision and feedback control systems. And also we have a much more protectionist economy now, which is another story. But your ability to launch a robot that does something very specific is a completely different world today than it was 2 years ago in terms of its dexterity, its vision, it’s you know and it’s not just vision, it’s any kind of sensor can now be you can train a neural net very very quickly and once you have the data you this came up with with XAI or sorry with um uh 1X when we’re talking to to Burnt Borneick uh the uh the data that comes back from this deploy deployed set of robots gives you a huge flywheel effect and a competitive advantage. So if you
[01:05:00] get your robot to market in any given use case just like zipline is doing then you can use that to retrain the neural net every single night and it just gets better and better and better. So I think people are underappreciating the degree of dexterity the degree of capability that’s in these new generation of robots and it should just absolutely take off. You know, one of the things that is also underappreciated as we’re moving forward with millions of autonomous cars that are imaging everything on the street, where we have millions of drones flying over your head that are imaging everything at millimeter resolution, where people are walking around with their AR glasses looking around, when we have, you know, thousands of satellites in orbit imaging at submeter resolution, we’re entering a point where everything knowable on the planet planet is being imaged and recorded constantly. Uh which leads to a point at which you can ask any question uh and get an answer. Right? This is a very different universe
[01:06:01] where you can know anything you want, any time you want, anywhere you want. Um and >> I remember the I remember the stat that each Whimo car is is recording a gigabyte of information per second per car. >> Yeah, it’s uh it’s crazy. Alex, uh, can you give us, uh, some wisdom on that idea? >> Yeah, I I think this is the planet waking up. I I speak about decomposing the solar system to build a Dyson swarm. I I think a baby step in that direction is deploying small masses in Earth’s atmosphere to transport other masses around. And I I would expect if we are on this trajectory, and I I think the jury is still out as to whether we are, but if we’re on the trajectory toward a Dyson swarm, it’s very natural that in the intermediate term, we’ll see drone delivery and all of these masses start to to to move around in Earth’s atmosphere. >> Can I make a couple of quick points? >> Sure. >> There’s the negative side of it where people go, “Oh my god, loss of privacy,
[01:07:00] etc., etc., right?” But there’s also the unbelievable positive side where there’s an unbelievable amount of illegal fishing going on, for example. We’re just literally scraping the life out of the oceans and now we can track that and police it a lot better because we just know. And that I think there’s so many positive use cases outweighs the negative by a long margin. >> This is a point I’ve made. People, you know, people act differently when they know they’re being watched. Now, this is, you know, brings an entire conversation around police states in China and so forth. But uh he supported the Lindberg Foundation. This is Charles Lindberg, now Eric Lindberg, his grandson. And they were they were funding drones that would fly over uh herds of elephants and rhinoceroses to keep the poachers away because of the poaching knew they were being imaged. They stayed away from illegal activities. Um anyway, a few more robot stories I think I would love us to uh to chat. >> Can I talk about that topic just for the poaching topic? Yeah, >> there was an idea a few years ago which
[01:08:00] I think now started to be implemented where if you use synthetic biology to create rhino powder horn, >> you flood the market with super cheap rhino powder horn rhino horn powder and then you take away the e economic incentive for poaching. >> Yep. Awesome stuff. Okay, this is Unitaties G1, Learn to Do Humanike Chores. And I’m showing this video just because I want people to start to imagine what it’s going to be like to have these robots living in your home with you. [music] And again, this is a $16,000 robot. Um, [music] maybe this is a little more advanced version. [music] >> Uh, so
[01:09:00] >> vacuuming in the bed. >> Uh, no. I think it’s it’s >> ironing. >> Ironing the bed. Yes. >> Ironing the sheets. Okay. [laughter] That’s a service I don’t really need. >> Don’t knock until you’ve tried it, [laughter] >> I guess. Yeah. Well, that’s a good point. Actually, all kinds of things. I don’t feel like I need are going to be so cheap. >> I just don’t want to be in the bed when the robot tries to iron it. [laughter] [gasps] >> Oh my god. Uh so just unitry is about to go public. You know, it is the probably the leading manufacturer of robots on the planet in terms of volume. Uh again, I would never bet against Elon. Uh and uh he’s, you know, he’s convinced that what he’s building with Optimus 3 will be the single most useful machine on the planet. And by the way, guys, I was texting with Brett Adcock last night, the CEO of Figure. Cool. >> And uh Brett’s agreed to come back on the pod, so we’ll get an update on Figure 3. So excited about that. We have to decide whether we go to his facility or do it uh uh digitally here. Um all
[01:10:02] right. Uh I just stuck this in cuz one of the things I put out a humanoid robot report every year. It’s going to be coming out in a couple of weeks, but the number of humanoid robot companies is exploding. I’ve never seen this like I mean it’s just crazy. This is hardware. Uh this is real hardware being manufactured. This is a company called Sunday Robotics. Uh and what I found fascinating and you’ll see this in the video is they’ve created an army of 500 what they call memory developers. So in this photo you see a human wearing these gloves and these gloves are basically the hand manipulators of Sunday robotics and the human goes about their normal daily chores with these gloves. Um and it records every action, every motion. So they’ve claimed at Sunday Robotics they’ve created the single largest robotic data set for dexterity. Let’s
[01:11:02] take a look at this video and then we’ll chat about it. [music] >> [music] >> So, he’s opening a dishwasher and he’s putting these wine glasses in the dishwasher [music] uh with very high precision and folding socks. [music] >> [music] >> Nice. Uh, hey Neil Gamma, would you please bring me a a cappuccino? I’d appreciate it. Yeah, I I think by next year hopefully that will happen and actually the cappuccino will materialize
[01:12:00] magically via robot. Uh, Dave, what are you thinking here? >> Well, a couple things. the the programming by actual action, you know, you just do it, you know, either vision or you just move uh and that programs the robot. That’s a huge unlock versus sitting down and writing the Python code or the it could even be Python because it’s too slow. So you have to write assembly or C code that takes forever. That’s completely gone now. You just train it and that’s a huge huge unlock. Um you also we tend to visualize the humanoids working in the home because that’s what everybody loves. But you know these things work in nuclear reactors where no human can go. They work inside pipelines. Uh there’s just huge amounts of of use cases for this in areas where there’s no other option. You know, build a data center in space. Well, it’s not going to be people with space suits. That’s going to be be robots in space. >> 100%. >> And so, so lots of unlocks here. You almost can’t go wrong right now. Um I will be curious when we’re talking to Brett about whether he’s using Nvidia chips because you said Elon almost never loses, but Elon’s making his own dojo chips for these robots. And you know,
[01:13:01] Brett, I don’t know what Brett is using. I know that that [clears throat] 1x was using two Nvidas per head of each robot. >> So that’s a big constraint. And so we we’ll see what Brett’s plans are. >> Yeah, Alex, we know algorithmically how to solve robotics. It’s vision, language, action models, foundation models that are generalizations of LLMs like Chat, GPT. The hard part is the training data. And there are so many different approaches emerging for training data for these VLA models. I I think To Sunday’s credit, what they’re doing is, as as alluded in the video, they’re using special gloves that human operators wear that are exactly matched to the size and form factor of the hands of the robots. This is one approach. I think it’s a very promising approach. To their credit, it requires, as they say, zero tea operated data for training purposes. But there are lots of other approaches. We we’ve seen figure announce cameras on palms of hands. We
[01:14:01] see a lot of so-called simto toreal approaches that generate lots of synthetic data and attempt to translate those over to reality. I’m optimistic that one or more of all of these approaches that are being tried for data set generation and data set curation will solve robotics imminently. I I’d like to point somebody somebody needs to figure out how to program the swarm too because you when you walk around the research labs a huge fraction of people are working on grippers and like okay I picked this up I’m squeezing from both sides but you know you can do that with a gripper but you can also do it with two independent um you know drones pushing against each other and you can’t program it that you can’t program a swarm of 50 drones by showing it to what to do with your hands. So, someone has to crack the code on how you use that same exact approach for the swarm >> version. Someone’s going to have to start strapping wearable cameras to swarms of birds or something like that to gather [snorts] the good training data. >> There’s a startup there for someone in the audience. [laughter] >> So, I’ve got a positive and negative
[01:15:00] perspective. positive as a few years ago when Baxter first showed up. >> You could actually you train it instead of saying lift object, turn 90 degrees, move over here, turn back, put it down and explicitly program a code, you could have move back arms and adaptively show it what to do and it would learn that. And I think we’re seeing the fruition of that vector which I think is very very powerful. On the negative side, I think we’re a long ways away of picking up salad plates. I think Dave’s point of of dulerity dangerous the DDD thing is is where we’ll go for a long way before we start doing this as general purpose stuff at home but still my viewpoint. Let’s see what happens. I may be wrong. >> All right. Uh I’m going to move us along here. Uh this is a company called Clone Robotics. They’re going to be one of the robot companies at the Abundance Summit this year. We have four robot companies on stage with their robots. Let’s take a look at Clone here. So what you’re seeing basically is a humanlike uh setup with though it’s different here is
[01:16:00] instead of electromagnetic motors these are hydraulic systems moving the tendons and the muscles to get dexterity. It’s it’s sort of uh westworld robotics and I just show this to show the variety of different approaches that are going on today. Um, in very brief uh we’re seeing the $100,000 uh robot from Boston Dynamics in particular. This is their robot dog entering into uh you know police work uh and safety work. Uh do you want to add a point here, Alex? >> Yeah, I’ll point out it. It’s really interesting. The ratio between humans and dogs on Earth is 9:1. The ratio between humans and domesticated four-legged mammals on Earth is approximately 3:2. I I think the the elephant, no pun intended, in the room is will we see robot dogs and robot quadripeds scale in proportion to
[01:17:00] humanoid robots? Yes or no? I I don’t know the answer to this either, but one can imagine there are lots of scenarios where you don’t want humanoid robots, where you want something maybe difficult terrain or or other more difficult circumstances. You want lots of other animal non-human animal form factors. Maybe you want snakes. Maybe you want insect type form factors. I I can imagine >> micro drones, flies. I think we’re going to see all of these. And this is one data point. >> Yeah, >> you’re dead right. You’re feeding Seem, which is sad, but [laughter] >> more nightmares for you, Sem. >> No, no, no. I’m I’m actually again for policing and dangerous work. Absolutely right. But if you want a dog, give me a male dog and a female dog and I’ll get you a dog. [laughter] >> I mean, >> oh my god. Uh See, I put this chart in here for you. Uh we’re going to wrap very shortly, but EVs to soar as gas car efficiency stalls. Uh, do you wanna do you want to speak to this slide?
[01:18:00] >> Oh my god. I mean, uh, >> give us a rant, buddy. Give us a rant. >> No, I’m going to keep it short. This is the International Energy Agency again kind of doing their predictions. I’ll go back in history and say back in 2012, they put out a prediction that the number of electric cars, it would take till 2040 before we had a million electric cars out there. And by the time they kind of finished their report, Elon had a million Teslas out in the roads already. Um and in this case there’s one data point here that is complete complete which is the number of electric cars in India. As you see they’re predicting that it’ll be near zero till 2035. That is complete horseshit. It’s going to be vertical like all the others. So what the hell are they doing? Eur US I can just about understand but that’s even going to go away just because of the sure economy of it. >> Well the autonomous electric cars right the cyber cabs uh are going to be displacing gasoline cars. >> Yeah. Yeah. So I mean what are they talking about here? Are they what are they missing? How do they miss this uh
[01:19:00] year after year after year? The the the number of moving parts in a combustion engine car is 2,000 moving parts in the drivetrain and a Tesla is 17. You can’t compete with that in terms of design, reliability, maintenance, etc., etc. >> Yeah. I >> rant is over. >> Okay. All right. I I want to close us out today with the notion of science and technology is creating an increasing world of abundance. Uh the first story here is epigenetic reprogramming trials are close. So we’ve got an image here of David Sinclair. David is the founder of life biosciences. Life is a company we just had at the longevity uh uh the abundance longevity summit which I do every fall. And uh a number of my abundance community members are investors in life biosciences. What is it? Life biosciences is commercializing uh the work that that David has done with partial epigenetic reprogramming.
[01:20:01] He’s using uh basically a modified adnoassociated virus to put the OSK uh genes into cells. What does this all mean? It means that he’s demonstrated age reversal in mice and in uh in monkeys and for the first time this age reversal technology is entering human trials in the first quarter of 2026 and it is a big deal um and has the potential to uh to really transform uh you know he’s going into the eye to deal with Nion which is strokes in the eye and glaucoma. Uh but if it’s a true age reversal technology, it’s going to affect the entire body. Uh so he’ll go from the eye first to then go to liver and other organs. And you have to understand when you were young, you didn’t have a specific disease. As you got older and your epiggenome
[01:21:00] shifted, this disease materialized. So if you can reverse your epiggenome to an earlier state, the disease should go away. and a lot of work here. So, super excited about that. Let me link it with this story here with Anthropic is hiring life science researchers. Uh again, we’ve heard Dario talk about could we double the human lifespan on the back of progress with AI. Uh so, uh super excited. Anthropic’s been going very hard and heavy here. Alex, what are your thoughts, please? Yeah, Daario has stated publicly that he expects disease to be or let’s say disease, biology, comma, and medicine to be solved by the end of the decade in the next 5 years. And and I I think anthropics doing an amazing job of pushing forward AI for science in general. But I I think this is what solving biology looks like. It it looks like starting to to apply dedicated efforts, hiring biologists,
[01:22:00] and building out facilities to solve biology by the end of the decade. and I think they will succeed. >> Amazing. Um, part of what we’re talking about solving as soon as possible is the cost of sick care. Again, reminding everybody, we do not have a health care system. We have a sick care system. The system takes care of you after you’re sick. A health care system would keep you healthy, right? So, uh, AI is going to be the biggest impactor here. We saw a study out of Stanford and Harvard Medical School that definitively shows that an AI diag diagnostician looking at your data will diagnose you far better than any human or even a human with AI because humans introduce bias into the results. Uh this is the progression of AI as a radiologist. And so in this chart we’re seeing um basically how Gemini 3 is doing performing versus radiologists. So Gemini 3 has outperformed radiological
[01:23:01] trainees. Um and it’s on its way to you know taking over the role from board certified radiologists. Not there yet but I think in a year we’ll be there. Alex, your thoughts? >> First of all I love benchmarks. I I’ve made no secret that I love benchmarks. The the benchmark in this case is is named radiologyy’s last exam. It it’s composed of I think 50 radiological images spanning multiple modalities, multiple body systems. And the basic task is handing an image or imagery to an AI of various sorts and asking it to to specify a final diagnosis. And as you say, Gemini 3 Pro, which just launched, beats radiological residence. And on its present trajectory, if you just plot a a straight line through progress from GPT5 thinking to Gemini 3 Pro, I I think we’re going to see radiology get solved in the next year. >> And my brother-in-law Tim is a radiologist, and surprisingly, he cannot
[01:24:00] wait for AI to outperform him, which he says is basically today, but he he got into the business to save lives, not to have a job. And he is just super excited about it, saving lives. Also, the number of other types of sensors that are coming online in medicine is on an exponential curve. And so, you need AI to read all those scans, too. There’s no shortage of jobs for radiologists if you just stay on top of the wave because there’s always more training data needed, always more types of sensors. And and the other thing is the amount of data that comes out of a scan today is way more than any radiologist could ever read. Just huge, huge amounts of very high resolution. So, he’s just wicked excited. I hope all doctors are are super excited because, you know, at the end of the day, it’s about saving lives, not about protecting. >> Yeah, I I I think you’re going to find people who are going to actually say, “No, no, no. We can’t let AI do this yet. They’re not good enough.” Um, and you’re right. Um, there’s not enough radiologists. I know we hire radiologists at Fountain. I hope we’re going to transition to our AI
[01:25:01] radiologist soon enough. Uh, talking about creating abundance in the world. This was a fascinating article. I think you found it, Alex. So, thank you for that. Rain Makaker’s bold plan to refill the Great Salt Lake. Uh, Alex, you want to hit this one? >> Yeah, there there’s a scene in the uh in the Johnny Depp movie Transcendence where nanobots are released throughout the the biosphere remediating it. I I do think we’re going to find ourselves in in a world soon where some faximile of that scenario is the case. So, so in this case, this is drones that for weather modification that are being used ultimately to refill the Great Salt Lake. And I I think this is an early preview of that scenario where many of the the most in principle labor intensive, capital intensive, energy intensive environmental issues that we face in in the case of the Great Salt Lake, it’s it’s losing water that’s resulting in uh arsenic that was already in in the salt bed being aerosolized and
[01:26:00] people are breathing it. It’s not a great situation. All of these environmental scenarios can ultimately, I think, be remediated at scale with enough automation and AI. And I I think this is just a sliver, just a preview of what we’re going to see biospherewide. >> Yeah. You know, we talk about water scarcity in a world, right? Water is one of the most important things. Clean drinking water. If you’ve got that, you can eliminate half of the disease burden on this planet. And we have to realize that we have an incredible supply of water on this planet. The problem is 97.5% is salt, 2% is in the ice caps, and we fight over a half a percent of the fresh water in the lakes and rivers. But it turns out there is another source of water. It’s quadrillions of lers of water in the atmosphere. And so if you can access that, we’ve had a couple ex-prises on that topic. um you can move the water to where you want it and need it. So uh this is about creating water abundance on the planet uh which I think
[01:27:02] is so cool. >> I have two points to make here. >> One is this is climate engineering at oper like full operational scale which is amazing. The the downside that people say is oh my god we shouldn’t be geoengineering the world and the counterpoint to that is we have been geoengineering the world been throwing up a ton of carbon into the atmosphere for decades now. We have to use technology. You know, I’ve been watching the outcomes of the cops, you know, a farce going on in every year we get all the folks together. We are not going to find a political solution to climate change. Nation states cannot solve climate change. You need a technological approach. I think this is the start of a whole array of those. >> Yeah. uh in terms of re-engineering and gaining access to resources. One of the biggest, you know, conversations is rare earth metals are rare and how do we get access to them for our electronic supply chain. This is a company called Vulcan. Uh the title here is Reelement and US
[01:28:01] government launched $1.4 billion to build domestic rare earth supply chain. so critical for so much of what we’re building here. And of course, for the last couple of decades, this has been a supply chain controlled in China. Um, Alex, do you want to give us some 101 on this? Or Dave, either of you, please m I’d like to comment in again in extremists, where do I think all of this ends up? I I I think it’s it’s relatively easy to imagine a future where so-called re-industrialization reaches an end state where local supply chains become hyper local where for rare earths for other key elements other key feed stocks for for the supply chain of the innermost loop if you will are farmed completely locally. And I I think ultimately that takes us to nanotech. It takes us to Drexlerian nano systems. It takes us to robots that are able to to scavenge raw resources from the immediate environment and immediately
[01:29:01] you get an immediate supply chain that’s packaged up in in some sort of self-contained way to produce finished projects. And and I think this again this is just the start of of maybe a 10 to 15 year journey towards those types of nano systems. Dave. >> Yeah, we have two investments in companies now that that use AI, vision systems, and sensor data to scour through recycling and trash looking for rare earth and looking for things that are extremely valuable. And that’s a >> I mean, everybody loves that because the the the supply chain people love it and the recycling and get the garbage out of the streets people love it. It’s just a pure good enabled by AI and robotics and it’s a really really good theme um and very very profitable business too. There’s also a book called the the end of the world is just the beginning that Thomas Pedy gave to me. >> I love that title. >> It’s it’s it’s an incredible packed with data and statistics. A really good read. But amazingly, the US is one of two
[01:30:00] countries in the world that has everything. [laughter] Literally everything is here. So, our rare earths come from China, but that’s only because we didn’t bother to mine them out of the earth here. We have them. We just didn’t put together our own mining operations. I mean we we we had rare earth metal operations. The problem is China would undercut the marketplace and put our companies out of business. Um but that’s a different >> industrialization. Yeah. The whole push now is like hey make sure that everything is able to be done here doesn’t get undercut and re-industrialize America. [clears throat] And you know, France is the other one that has pretty much everything surprisingly if they can just access it, >> including great. >> It’s a great book. >> All right, before we go to our outro music, which is epic again this week, uh I put this in here, Dave, because uh you know, Link Exponential Ventures is a Bostonbased company. So here it is, the data. Massachusetts leads in VCbacked IPO success. So, Massachusetts leads
[01:31:02] with 4.1% probability of going public within 10 years. California companies are at 2.3% and New York companies are at 1%. Any comments, Dave? >> Yeah. Uh, so no mystery here. You know, Massachusetts is also the uh the healthiest state in the country uh and also best place to raise a family in the country. And it it it’s not magic. It just tracks university density. So if you do the exact same chart on university density, you come up with the same curve. So as a fraction if you walk out on the streets of Boston and you you touch a random person, 25% chance they’re a student and you know some other chance they’re a professor or or working in a startup. It’s just an incredible high density of very very smart upwardly mobile people. Not a lot of homeless problem, you know, it’s just all of that really um feeds this machine. >> Yeah. Yeah, >> but people come to Boston to study and to learn and to build and then you know
[01:32:00] a big fraction of them stay. Another big fraction goes to California. So this is tracking where they started. >> A lot of things actually start in Boston. Many of them do migrate to California which is why people perceive that as being the epicenter. But it actually if you want to be there the day that they’re founded or if you want to recruit the talent, you know, there’s 20 times more engineers in Boston than there are in Silicon Valley. 20th because of MIT, Harvard, BC, BEu, Northeastern, Tufts, it’s all within walking distance. It’s just a really unique place on Earth. >> You couple that with the stat that you showed me that uh the unicorn ventureback companies uh the highest rate of giving birth to a venturebacked unicorn uh unicorn company comes out of MIT is number one. Uh it turns out USC is number two and then Stanford is number three which sort of shocks all my my Stanford friends when I show them that figure but uh it’s why link XPV is based out of MIT. All right let’s >> I got to say one thing about this.
[01:33:00] >> Yeah please >> um it’s a wonderful statistic but California has 10 times more IPOs um than Massachusetts and only six times more of the population. So I think that speaks to Dave’s comment about people moving over there. >> Uh so you got to take out a little bit of and the weather is cold but I I think when we were when I remember building a company >> the be the best engineers and systems engineers we could ever find we’re in the Boston area. So I >> you know the game plan that has worked for so many of my friends is you start in Boston, you hire your first 10, 15, 20 people in Boston, you get revenue, you get traction and then a West Coast VC offers you a hundred billion dollar valuation. [laughter] So you move your headquarters out to to Silicon Valley. You grow grow grow and then you have your first kid and then you move right back to Boston because the school systems are the best in the world. And and also it’s very community oriented. You know, there’s a little town center with a white steeple church and the police and the firemen and everybody all interact with everyone. It’s very very
[01:34:00] social. You rake leaves, you shovel snow, you grow up stole starts all over again. So just just one thought on a on a possible life plan. And it certainly worked for a lot of my friends. >> Fascinating. All right. Uh we’re about to go to our outro music which is uh which is literally called the epic fantasy edition uh by uh by Jonno uh Jonno Vatney 5074. Thank you. We’ve been getting some incredible entries into our outro music. So, thank you for all the creatives out there uh for your support. >> Didn’t John create another one of ours? >> That’s right. This is John’s second contribution. >> Yeah, >> it’s so good, too. >> Before before we before we go to the outro music, just any closing thoughts here? Let’s go around the horn. Seem, uh, how do you enjoy this episode today? Any other closing thoughts? Any other rumors you’re hearing? Any other fun things? >> Just just an epic steamroll towards the era of abundance. I mean, we have
[01:35:00] collapsing costs. We have access into multiple industries. We’ve got new industries forming the seams of everything. uh very quickly you’re going to have a personal AI that’s a doctor, a lawyer, a tutor, a mentor, a coach, and it’s all going to be free. So when people talk about abundance, we’re kind of getting there so fast. And I think all these stories that we’re talking about show us how quickly we’re going to get there. It’s incredibly just unbelievably exciting. >> Amazing. Dave, your thoughts, please. >> Well, two things I saw in the comments. One was, “Dave, can you stop wearing checkered shirts every single time?” So I agree you [laughter] I’ll try and develop a look. I don’t have a look, but I’ll try. Uh, the other one is uh is really cool. It’s like I I like to listen to it at 1.5x speed, but then when Alex speaks, I need to go to 1x and listen to it twice. >> Yeah, you got to slow it down by two two times. >> So, we could try to automate that. That’s a very easy AI problem. We we’ll create a little overlay that can automate the the process for you. >> Yeah, I I I do want to encourage our our subscribers. We’re at 399,000
[01:36:01] subscribers, about to hit 400,000. Thank you for that support, everybody. If you haven’t subscribed, please do. But please put your questions in uh in the comments. We do read them and uh I’d like to be doing more AMAs on this. So, we’re going to be looking for great questions and then bringing it to the Moonshot Mates for conversation. Alex, please, your closing thoughts here. >> Two comments. One, we didn’t get a chance to talk about the the new Nano Banana Pro model, which is just incredible. Encourage everyone to to play with it. It has transformative new multimmodal capabilities. I was very impressed. Kudos to the team. And and second, I I spend all of my time thinking about solving the hardest problems on Earth with AI. So I I’ve mentioned in past folks, if you have really hard problems that that you’re working on solving, I would love to to connect with you. I I think we’re entering the age where the hardest problems on Earth are solvable with AI. >> And Alex will be at Nurups, you know, don’t forget. So >> I will be at Nurups next week. So yeah, if if you’re at Nurup’s the the AI
[01:37:01] conference, uh definitely reach out to me. Would love to connect in person. >> And plug from my side, November, sorry, December 17th meeting of life session online. >> Amazing. And uh we had put out a call to see if you guys wanted together with the get together with a moonshot mate sort of at a moonshot gathering in the fall of next year, fall of 2026, probably in LA. Uh we’ve had about 700 of the thousand write back saying that they’re interested in joining us. So if you’re interested in a moonshot gathering, send an email to moonshots diamandis.com so we can hear your vote. Our goal is to get to a thousand people who say they’re interested. Um and if we get enough interest, we’ll pull this together in the fall. So dmand so moonshots at diammandis.com. If we disassemble the moon per Alex’s prediction, we’re going to have to rename this podcast. >> No, that’s [clears throat] that’s why it’s called Moonshots. We’re all about shooting the moon, disassembling it, and building the computronium cloud. Obviously,
[01:38:00] >> grown grown grown grown. All right. Uh our outro music here. Epic fantasy edition. All right, let’s enjoy. >> So good. Check it out. [singing] >> And please watch this. [music] >> Oh, a Lord of the Rings theme. Awesome. >> Oh my god, this is [laughter] the best. Have you seen this before? >> Wow, Dave, you look good. >> Yeah, that’s much better. This is [singing] cool, though. That’s the way I visualize Alex. [music] >> Come on. Bring >> Your kids look like that, Peter. Wow. [music and singing] [singing] [01:39:02] >> There we go. Okay. [laughter] The cats. Oh, that’s crazy. Oh, that was so good. >> All right. If you are listening and not watching, it’s worth going to YouTube to watch this. I love >> Thank you, John. That may have been my favorite one of all of them. >> You got some real talent there, John. >> I love AWG as an elf and uh and Dave is as some version of Robin Hood. And Seem, you show that to your wife. You’re the sexiest man on the planet in that one. >> I look like a troll. That’s great. [laughter] >> Uh as always, gentlemen, love you greatly. Thank you for your wisdom and your passion and your commitment here everybody. Uh that’s a wrap on moonshot. See you guys again uh next week. Every week my team and I study the top 10 technology meta trends that will transform industries over the decade ahead. I cover trends ranging from humanoid robotics, AGI and quantum computing to transport energy longevity
[01:40:01] and more. There’s no fluff only the most important stuff that matters that impacts our lives, our companies and our careers. If you want me to share these meta trends with you, I write a newsletter twice a week, sending it out as a short two-minute read via email. And if you want to discover the most important meta trends 10 years before anyone else, this report’s for you. Readers include founders and CEOs from the world’s most disruptive companies and entrepreneurs building the world’s most disruptive tech. It’s not for you. If you don’t want to be informed about what’s coming, why it matters, and how you can benefit from it. To subscribe for free, go to dmmandis.com/metatrends to gain access to the trends 10 years before anyone else. All right, now back to this episode.