Iran's AI Supply Chain Threat, Claude vs. SaaS, and Elon's $60B Cursor Bet | EP #249

18:39Dave Blundin:Human arrogance is unbelievable, actually. If you go to San Francisco and you talk to these exact people, they all say exactly what this slide said. This is going to replace almost all entry-level engineers. Are you an entry-level engineer? No, not me. I'm a hyper senior whatever engineer. Well, you know it's on an exponential curve, right? You're talking about three months after those three months. Either way, you're coding yourself out of a job very, very quickly. Yeah. Okay. I guess I am.

19:10Dr. Alexander Wissner-Gross:I'll take the other side of this. I thought that saying one third of the employees think they'll be replaced. Why isn't it 80 %? That would be much more indicative, I think. A third tells me not a lot about that. particular thinking. And yes, they're going to be wiped out. I think we'll just change the types of what we mean by entry-level job.

19:30Peter Diamandis:Maybe the one-third who thought the entry-level SWE's are going to be replaced are the senior SWE's and executives at the company who are in better position to judge that. I would just comment, you know, we talk, I think it's fair to say, about being in the singularity. It's not just vibes. And recursive self-improvement is not just vibes. This is exactly what one would expect to see if we are, as I would argue we are, in the midst of recursive self-improvement where almost all of the code, it's been widely reported, and Anthropic is now generated by Claude. At other companies too, at Apple, at Google, this was, I don't think we have a slide for it on this pod, but pretty spicy news in the past 24 to 48 hours, rumors out of Google DeepMind that a lot of Google DeepMind code is now being generated by Claude.

20:21Peter Diamandis:So I think it's not just necessarily junior SWE's that are being replaced by hypothetical future releases of Claude. It's also other frontier models from other vendors that are being displaced. The blast radius is pretty wide for this. We expect everybody's leapfrogging each other. I expect this will occur in every single lab.

20:40Dr. Alexander Wissner-Gross:I think there's also something here for organizations because the metabolism really gets affected. How do you develop talent when AI is doing all the apprenticeship work? And this is going to be a big structural problem over the next few years. Yeah. How do you get to senior level players if you don't have junior level players?

20:58Peter Diamandis:The sweet ladder gets yanked up. But then we see in other news in the past 24 hours, Meta announcing an upskilling program to teach people over a relatively short period of time how to lay fiber. optical fiber in data centers. So I think these are all just patches or bridges to an ultimate solution. You can debate what the ultimate Star Trek economics look like after this is all over. But in the meantime, certainly if you're a software engineer, a junior one, maybe you want to start your own company or shift to some other career ladder that has more of a ladder to it.

21:33Dave Blundin:I was going to say something similar. If you look at all the senior execs at OpenAI, I don't know about Anthropic as much, but we know a lot of the people at OpenAI, but the vast majority of them were previously founders and co-founders of other companies. So they became senior through the entrepreneurship pathway, not through the work your way up the ranks pathway. So that's the answer to your question. Now, I know a lot of the listeners then say not everybody can be an entrepreneur. Well, we're going to talk about that. We'll come back to that. Yeah. At the end of this podcast, we're going to have a session addressing the question that's been asked by all of our listeners.

22:04hey, you know, I don't think I can become an entrepreneur. Is it for everybody? So we're going to dive into that a little bit. So Dave, a question for you. You know, I can imagine this three-month survey, you know, this SWE apocalypse in three months works for the hyperscalers where you've got these high-level software engineers. But what about large Fortune 500 companies? What about like Chase and Kaiser Permanente? You know, I think this mythos or all these technologies are going to take a while to permeate through the larger companies. How fast is it going to happen there, you think?

22:39Dave Blundin:I think it'll vary depending on the quality of the management team. But great, well-managed companies, it'll happen very, very quickly. And I think you have to realize that after Sam's house got firebombed and then shot at and he has bullet holes in his door, the bias when you survey these people is toward downplaying, not toward exaggerating. That wasn't true a year ago. A year ago, the bias was toward exaggerating. But now it's the exact opposite. So, the capabilities of the AI are going to be far, far ahead of what they want to talk about. The employers will then underreact, by and large. And a lot of them just don't want to deal with it.

23:20Dave Blundin:And so, you'll see a subset of them that are early adopters. Part of it is cost reduction, but another bigger part of it is greenfield building of new things that you never could have thought of before. And that's such a massive sweeping opportunity that those companies will get miles ahead, hopefully create new jobs as they grow. And then the legacy guys will be very, very late to catch up. And we'll probably get crushed in the process, actually. And that includes some really big companies, you know, big banks, big insurance companies. But they just won't move fast enough. And they won't see the little guy coming up.

23:53Dave Blundin:But, you know, a little guy with an effective workforce of a billion AIs, they're going to go very, very quickly past you. and you won't see it coming.

24:01Dr. Alexander Wissner-Gross:I have a clear lens on how this will happen. Please. I think what's going to happen is you're going to get this horde of startups building in an AI native mode. And the big companies will struggle to adopt because, as I've mentioned before, all our workflows in big companies are human to human. All the approval lines are human to human. And you need to be AI native, which means you completely need to redesign your workflow. Most big companies don't have the skill set or the ability to do that. So what will happen is they'll watch the incumbents come along and then they'll start buying them because they have to in order to compete.

24:36Dr. Alexander Wissner-Gross:And then they'll reverse into them that way. That's what I think happens.

24:41Dave Blundin:Innovation on the edge. I think, Salim, it's really clear, you know, since you're in every country and every city in the world pretty much every week, the range of speed of adoption by geography is mind-bogglingly different. It is just crazy. It's crazy how far ahead San Francisco, Austin, Boston are moving at warp speed. And then you go elsewhere in the country, it's much slower, but then you go to Europe and it's like no action at all. No reaction whatsoever. Sublinear. And so, yeah, very sublinear. There's a view of the world that if you think about some tribal village in the middle of Africa, you know, and then AI comes into the world.

25:21Dave Blundin:Does that tribal village even know or does anyone care? Do you interrupt it in any way? No, no, it just sits there and does what it's been doing for 100 years. Some of America is going to be like that too. But of course, Dave, we have more than 8 billion handsets on the planet and AI is diffusing to all individuals. I told you in the last pod, my story when I was in Morocco, of that young man who basically chatted with ChatGPT to come up with his own new novel career. it's going to be initiative people take.

25:55Dr. Alexander Wissner-Gross:I think people will grab the tools and start using them to improve their lives. It'll be amazing.

26:00Dave Blundin:Well, I think, you know, at the rate of growth that we're talking about, the people who choose to grab the tools will thrive like crazy, regardless of what happened to their old job. I'm almost positive of that now, because the rate of what it can do for you and with you is growing so much faster. And so people who kind of lament their 10 years they learned to code Python better than anyone else on the planet, and they're like, I can't let go of it, they're going to suffer for not grabbing the new paradigm. But you're trapped. You're trapped by your history. But if you let it go, just like release, let it go, focus on the new, and ride the wave, there's so much value being created that you'll actually end up ahead, not behind, where you would have been.

26:40Well, as we talk about speed of growth, Elon comes back into front view mirror, And here he is predicting the next rollouts of Grok. So Grok 4.4 will be twice the size of 1 trillion parameters of 4.3. It'll be coming out in early April. Then comes Grok 4.5, 1.5 trillion parameters. Then 4.8, 4.9, and Grok 5 he predicts to be AGI, Grok 6, ASI, Grok 7, ASI 2. I mean, this, I think, was like a 2 a.m. tweet by Elon.

27:19Dr. Alexander Wissner-Gross:I mean, seriously, now on ASI2, we haven't even defined AGI, for God's sake. Come on. Insert my normal rant here. And how many parameters do you need? This is crazy.

27:31Dave Blundin:Yeah, the more the merrier. Actually, I love the fact that he's willing to talk about parameters, because I did an interview of Sam at MIT, Sam Altman at MIT, back in, I think it was 2020. And I said, how long till we get to a trillion parameters? And he said, we need to stop masturbating over parameter count. And the crowd loved that. And I was like, yeah, but I want the answer. Give me, just give me the data, man. I want the facts. And he wouldn't do it. So here we are years later. Elon's like, OK, here's our exact parameter account by model number. And, you know, the IQ goes up with the parameter count.

28:03Dave Blundin:We all know that. Then you distill it back down. It gets all confusing. And Alex has to translate it for us. But it's, you know, this is the roadmap. And he's right. and it's transparent and it's beautiful and it's just great he's willing to talk about it.

28:15Peter Diamandis:Alex, what's your take on this? Maybe to chime in, I think this doesn't necessarily bode well for XAI's roadmap if they're bragging about parameter counts. I don't think this race to super intelligence, as with Moore's Law ending when Dennard scaling ended in the mid-2000s and the gigahertz per processor, per CPU processor core topped out at four or five gigahertz. I think it's unlikely that we're just going to see larger and larger parameter counts on models. I think most of these weights, I've commented on this in the past, most of these weights are probably wasted on world knowledge. That could be safely externalized into a database or a text file.

28:55Peter Diamandis:Doubly so if once we're able to fully resolve the attention bottleneck and our ability to expand context windows to infinity or at least to a few billion characters or tokens. I'm not sure that we need all of this knowledge built in directly into the models. So I worry a little bit that this may signify that XAI or SpaceX AI may be running the last race and not the current race, which is focused on distillation and iterated amplification. And finding, if anything, what I would have hoped from Elon's late night tweet would be a race to reduce the number of parameters at constant capability. I think a race to the bottom where we're compressing more and more capability into a smaller and smaller parameter count, so-called intelligence density.

29:47Peter Diamandis:I'd love to see him bragging that XAI is going to be doubling, tripling, 10xing its intelligence density per model. And that's what we see from some of certain neolabs that are bragging about their move. Dave and I like to talk about ternary quantization or even just pure binarization of models. I think there's probably some sort of breakthrough or maybe a set of breakthroughs right around the corner that will enable us to take the capabilities of a raw, say, undistilled 10 trillion model and compress them down to maybe a few million parameter equivalents. That's what I'd like to see Elon focusing on.

30:25Peter Diamandis:So totally right.

30:26Dave Blundin:I mentioned that to Elon when we were in Austin and he was absolutely aware of it. But reading the body language, I think you're exactly right, Alex. He's aware of it, and he's probably like, why do I not have those people? Why do I have that? He has the hyperscaler people, the builders, the creators. And to use a rough analogy, he's going to launch 50 tons and then 100 tons per starship launch. But why don't we just make the satellite smaller? That would be the opposite side of that. That's much less marketable. Like, oh, the satellite, it's half as heavy now. Well, that's also an equally important breakthrough.

31:00Dave Blundin:Dave, let's be fair. Let's be fair. I mean, he is doing that if you look at sort of the progression of his V3 engines for Starship. They're becoming smaller. And he is the king of minimize the number of components and make things more elegant. Alex, a question for you. Is AGI also going to be a function of the amount of compute power that you have? And if you look at it that way, you know, if you look at it, XAI is about two gigawatts by the end of this year. OpenAI is at 1.2. My research is met as about one gigawatts. Anthropic and AWS together, about one gigawatt. So, I mean, XAI is still leading in the total amount of compute power, which puts it in some kind of a good position, don't you think?

31:47Peter Diamandis:It does. And he's the king, the god emperor, if you will, of brute forcing. So I think even if he had just said, here's the training kilowatt hours or gigawatt hours that we're going to spend on these respective models, and we saw that we're spending more and more on training, I think that would be probably a more convincing experience law curve to highlight than just the raw parameter count, which again seems like he's pointing to a trend from two years ago that the rest of the industry is abandoned as ineffective. I mean, this is an intelligence meme. I mean, this is not a timeline. This is like, he gave a timeline for 4.4 through 4.5, but just saying, you know, Grok 5 is going to be AGI.

32:34And then the question I have is, if he gets to AGI or whatever his definition of AGI, and the same thing for OpenAI and Anthropic, do they release it or do they hold on to it and utilize it for their own science breakthroughs, their own capabilities?

32:50Peter Diamandis:I think we're going to see a lot of that. And the snide part of me wants to look at the tweet or X post that you posted through computer science language. Is it possible that he's actually defining AGI as Grok 5.0 and defining its eye as 6.0? If you look at those right arrows in pseudocode, that's how I read it. Also, we're going to define AGI when Amazon invests in Anthropic. That's right. Or OpenAI's definition, AGI, is whatever it takes to produce$100 billion in revenue from it. So I think these definitions, Salim, are somewhat malleable. But I also, Peter, taking your question seriously about whether capabilities get so advanced that ultimately the frontier labs no longer want to share them, that's already starting to happen.

33:37Peter Diamandis:We saw that with Mythos, which is already being used with a delimited set of users. It's not being shared with substantially all of Europe other than the UK, which is no longer formally part of Europe politically. And I think we're going to see potentially, I chat with my friends at the Frontier Labs all the time, they're expecting all of this to happen in the next couple of years. All right. More on the Elon news. XAI launches Grok text-to-speech targeting voice developers. So XAI just shipped a standalone speech API with a 5 % error rate on phone calls versus 11 Labs at 12%. Of course, 11 Labs has been the darling and the default.

34:17It's a super competitive price at$0.10 per hour, supporting 25 languages. And here's the question. You know, is this just, you know, Elon's normal play where he basically comes in vertical integration, price to zero, uses his real world data to dominate an area? Is he basically going to go and deliver what Eleven Labs is doing? I mean, they've been the king. They're valued at$6 billion. They've been the voice AI for the last three or four years. Where do you see this going, guys?

34:55Dr. Alexander Wissner-Gross:I've seen this. This is the lack parallel with what we saw with flawed design. We're just going to keep having compounding capability. And they're just choosing to go after the voice thing because somebody was able to show that it was much better. And they'll just keep launching things like this.

35:11Dave Blundin:Well, I think Elon cares tremendously about leveraging X and winning the race to the best media experience generated. So that's image creation, video creation, voice, synthetic characters, virtual girlfriend and boyfriends, all that he wants to win for sure because he can distribute it through X. So he has that ace in the hole. So he wants that to all be dominated by XAI and speeches just on that roadmap. I don't think Eleven Labs has a lot to worry about, though. I mean, just staying ahead of that curve is just not that hard. At the end of the day, it's expanding so much. There's a trillion dollars of global payroll and call centers and voice.

35:52Dave Blundin:And we've penetrated 0.0001 % of it so far. So, the fact that Elon is stepping on Eleven Labs' toes a little bit doesn't matter. Eleven Labs just keeps moving forward. It's the same thing we were saying before about Anthropic. Just declare what your roadmap is so people can work with you and not against you. But Eleven Labs should be fine. Dave, what's the guidance for entrepreneurs who are building a vertical on top of one of the frontier models? And, you know, should they be concerned about maintaining some kind of a moat that's not going to get instantly disrupted? And how do you think about that?

36:27Dave Blundin:Yeah, totally. I had a great conversation with Liz Harkavy at A16Z last week in San Fran on this exact topic. Because she thinks a lot of the Y Combinator kind of, you know, really, really young founding teams are going to get crushed. but the more mature teams that are doing you know any kind of enterprise distribution of any of these capabilities they're just thriving like crazy or any consumer user base you know that that you know again if you you peter you and i talk a lot about our moms like my mom has not been touched by ai in any way shape or form yet she has money your mom has money she'll buy things there's massive parts of the tech economy that she would benefit from you know everything from hailing an Uber more efficiently to, you know, should I get a Tesla as my, all those things are conversations that our moms should be having with AI.

37:15Dave Blundin:No one has touched it yet. So it's just wide open. And so the key for an entrepreneur is think about your data moat. Do you have any kind of a flywheel effect with a data moat? And, you know, are you directly in their crosshairs or are you doing something that they're not going to do? And that's a tricky one to predict because I haven't declared, but you should be fine. Just jump in. Isn't, I mean, the other thing is it's easy to build. I mean, you see some kind of capability, you see an app, you see a piece of software, you can easily replicate it. And then it's a matter, can you market it? Can you get customers?

37:46Right. So I think, you know, the differentiator of who the customer, you know, the customer relationships you have, your reach, your brand is going to become more and more important. Do you agree with that?

37:57Dave Blundin:Well, so regulatory. So we have a company here in the lab, Vokara, that does voice AI is doing And great, growing like crazy, great valuation. But they're doing mortgages and insurance and things that have regulatory components to them. And knowing what you can and can't do in terms of your AI, quoting a price and having an accountable agent and all that detail, like XAI isn't going to do any of that. And so if they give you a better speech API, that just makes it easier for you to succeed as an entrepreneur. So there's all kinds of regulatory knowledge, vertical knowledge, data mode knowledge that makes these companies sustainable.

38:31Dave Blundin:Salim? Salim, sorry, what you were about to say?

38:33Dr. Alexander Wissner-Gross:Yeah, two things that strike out to me from this. One is if you're building a tech company and you have a tech stack, make sure that the tech stack is agnostic as to what model is underneath it so you can swap out 11 labs API for XAI for another ones. Because as we just talked about, your edge will be the differential you can make close to the customer. This is where the MTP comes in. For years, people thought Box.net and Dropbox would be toast because of OneDrive and Google Drive and iCloud. And because they were so passionate about storage and the delivering value to the customer, they thrived absolutely with everybody else.

39:13Dr. Alexander Wissner-Gross:And so what I remember from my days at Yahoo is, yeah, Yahoo has a storage capability, but there's three people on that team. And we've got 15 people on Yahoo Finance and 15 people on Yahoo Personals. And it's never going to outperform somebody they're dedicated to that one domain full-time 100%. So people get scared of the big companies. But if you have passion and you're focused on, you are going to outperform them all the time, especially as Dave pointed out in the areas where you have regulatory issues and industry-specific knowledge and tacit knowledge that's very specific to that application or use case.

39:50Dr. Alexander Wissner-Gross:That is the part that keeps you going. And then you just, technology's swappable underneath the hood.

39:56Dave Blundin:You know what's funny about that, Salim, is I launched my first successful 1 ,000 concurrent agent swarm yesterday. What is it doing? Well, I gave it a whole bunch of math problems to work on. I wanted to do something productive, but I didn't know how to coordinate it into building something cool. You wanted to burn tokens. This week. Well, I did burn a lot of tokens. I used Sonnet to keep the price down a little bit. But it works. The whole infrastructure works. But what's funny about it is I can just say to Claude 4.7, and switch half of these over to a different AI vendor, and it just does it.

40:31Like, wow.

40:32Dave Blundin:It's pretty funny that you're just that willing to swap. But, you know, what Salim said is exactly right. You need to be flexible and nimble, but it's so easy now. You know, in the old days, you had to really think ahead to plan swappable APIs. Now you literally just write one line saying swap, and it just magically works. It's wild. Speaking about swapping, open AI. That's what a perfect segue. Wow. Wow, that's professional grade. OpenAI is swapping out its leadership. So there were three senior OpenAI leaders that left a few days ago on April 17th. Friend of the pod, Kevin Wheel, who's the VP of Science.

41:12Bill Peebles, the head of Sora. And Srinivas Narayanan, the CTO of B2B. You know, best of wishes. I texted with Kevin to wish him all the best, and he's going to keep me informed of what he's up to next. A brilliant, super nice guy. He was on our stage at the Abundance Summit this year. You know, the exits are apparently tied to restructuring, reallocating SOAR resources, and decentralizing the science team. Again, OpenAI is, you know, heading towards its IPO. It's got a focus on use of capital and really driving things that are driving near-term revenue. You read anything else into this gentleman, Dave, Alex?

41:57Peter Diamandis:Well, it's... Go ahead, Alex. I'll think for a minute. Lots of thoughts. So, OpenAI has seen multiple waves of executives leave over the years. I'm reminded of the great anthropic schism where Dario and Jared and others all left at approximately the same time and formed anthropic. I would not at all be surprised based on what I'm hearing if this is another one of those events. The Anthropic Schism happened in part due to OpenAI, an earlier version of OpenAI, focusing its attention away from broader research, away from robotics, away from broader RL initiatives, instead focusing just on large language models.

42:38Peter Diamandis:And I think this is another moment where OpenAI has just completed its historically large fundraising round, like$120-plus billion fundraising round. Incredible, largest ever. Yeah, they're targeting an IPO as soon as the end of this year. And they're in a deathmatch with Anthropic to achieve recursively self-improving AI researchers and code generation the fastest with codex versus cloud code. And I think anything from that vantage point, anything that isn't in that innermost loop of recursive self-improvement, and that means AI for science, that means video generation, it may mean elements of vertically integrating higher elements of the stack, like B2B applications.

43:23Peter Diamandis:Anything that doesn't get them into that innermost recursive self-improvement loop, I think, is getting thrown out the window. I would not be surprised if we discover in the next two to three months another anthropic-like frontier lab emerges from this schism. And we go from three or four or five, depending on how you count frontier labs. There's a new star in the heavens. A new frontier lab is born with a curiously large amount of capital funding from inception that has a totally new approach for solving AGI slash ASI. That would be my guess. Nice. You know, your point is an important one to make here.

44:00Of the 11 co-founders of OpenAI, two remain. It's Sam and Wojciech, right? Dave, you and I met with Wojciech while we were there. And Wojciech is likely to be heading OpenAI Foundation. But, you know, again, Kevin, congrats on wherever you're going next. Dave, you were going to say?

44:20Dave Blundin:Well, the numbers are so weird, and I'm going to throw it out there maybe for the last time. But if you look at the underlying numbers, when we were at OpenAI, Peter, Mark Chen had just been offered a billion dollars to come over to Meta. Oh, my God. Right. And he turned it down. Remember that? Yeah. So then Sam reacted by going to every single employee other than the baristas and giving them a million-dollar spot bonus. Not vesting or anything. Here's a million dollars. It's like crazy, crazy numbers. So Kevin or a guy like Kevin joined two, two and a half, three years ago, probably got 0.1%, maybe 0.2 % vesting over four years.

44:59Dave Blundin:That would be a lot. Today, yeah. Yeah, well, today, every 0.1 % in this new funding is a billion dollars, a freaking billion dollars. And so, if he's like half vested on that, there's$500 million that he doesn't vest if he leaves. He'll have probably six months of vesting severance. And again, I don't know if he left or if he got pushed out. We'll find out, I think, pretty soon, but we don't know as of today. But that frees up half a billion dollars of comp to hire 20, 30, 40, 50 top AI researchers to compete directly with Anthropic. So I'm not saying any of this is what's going on. I'm just saying those are the numbers.

45:42Dave Blundin:It's like when a company goes up in value that much and you start talking about a trillion-dollar valuation, it gets wacky. Like all these dynamics, the amount of money flowing around is just absolutely wacky. Not normal company dynamics at all. Terrified atmosphere. You know, we're going to talk about this whole conversation later at the end of the pod here. You know, we keep on talking about billions and trillions. And, you know, the majority of everybody listening, including myself, can't relate with those numbers. All right. The speed of AI and AI business is stunning. As we're recording this podcast today, two pieces of important news dropped.

46:19So we're doing a pickup here to cover them both. The first is chat GPT images 2.0 model is released. reporting 99 % text accuracy and extraordinary resolution. I'm going to play this video and then I want to hear what everybody thinks about it.

46:36Dr. Alexander Wissner-Gross:We are launching ImageGen 2.0.

46:38Dave Blundin:If we think of DALLE as cave drawings and ImageGen 1 as ancient art, then ImageGen 2.0 is the renaissance. ImageGen 2.0 is the smartest image generation model ever built with the ability to generate complex, polished and production-ready visuals with accurate text and structured design. You see, this model isn't just generating images, it's thinking. That's right. ImageGen 2.0 is thinking and researching, and it can even search the web to generate images with the most accurate information available. And with that information, the model is able to generate infographics that explain complex systems and images that solve math problems with proofs.

47:20And with new multilingual capabilities, you can create visuals with multiple languages for the entire world.

47:27Peter Diamandis:And now for the first time in image generation, you can create multiple distinct images at once. So you can generate entire magazines with structured typography and photorealistic photos, full renovation plans for every room in your house. So we're having conversations not only with words, but now images back and forth. Dave, thoughts on this one?

47:47Dave Blundin:It's it's incredible. You got to try it. It is so easy to do to just go to your chat GPT interface and just go to create image. The naming is terrible. So you're like, is this really the right thing? But as Alex was explaining to me a minute ago, it's all the same. You go to create image, it just defaults to images 2.0 now. You'll know as soon as you're there, though, because it creates, like it says here on the slide, it creates images so quickly compared to before. And they are incredibly good. Stunning, huh? Stunning. So Alex, what's your normal tech? Like the first day I asked it was for a specific scene in a specific location that only I would know.

48:22Dave Blundin:And it did it. It got like the background right. It just has insane amounts of built-in knowledge that fills in your request gaps compared to before. It's really good.

48:32Peter Diamandis:Alex, do you have a standard test you use with image models? It's been an evolving test over time. For OpenAI's image models, I'll often ask it a molecular diagram question. This time around, my first prompt to it was show me the molecular diagram for a typical drug, say ibuprofen or acetaminophen. Or my favorite drug, caffeine, 1, 3, 7-trimethyxanthine. Caffeine's a little bit easier in some ways. Maybe it's more popular. So it got a couple of the details wrong. It added a couple of alkane linkages in ibuprofen that weren't there. I tried a few other tasks. I asked it to create manga for a single chapter of Accelerando.

49:19Peter Diamandis:Did a decent job. I asked it a few other tasks. I will say the text qualities are vastly improved. If you look at the benchmarks, so arena.ai benchmarked this as 1512. That's, I believe, an ELO score. That's the largest gap. It's number one scoring text-to-image model now in their text-to-image arena, far ahead of number two, which is Nano Banana 2. So this feels like a remarkable jump. A few other comments, if I may. One is the way OpenAI rolled this out, which is to comment on the reasoning abilities. We talked almost a year ago, I think, maybe six to nine months ago on the pod about how eventually we're going to see images as first-class reasoning modalities.

50:09Peter Diamandis:That the frontier models will start to think to themselves as humans do with sort of a gestalt image rather than in language. And I think we are starting to see the dawn of first-class visual reasoning by the models. I think that's very exciting. I think use of tools by chat GPT images 2.0 or GPT image dash 2, depending on which way you're calling this. I think tool use for image generation is an interesting plot twist query, whether that will lead to additional copyright infringement claims. I don't know, but interesting question. But I think the biggest question we should be asking here, doubly so in the context of a story that we covered elsewhere in this pod, which is the departure of a number of key OpenAI executives, ostensibly in service of OpenAI trying to better compete with Anthropic in the co-gen races, why is OpenAI releasing such a compute-intensive model?

51:09Peter Diamandis:When Google launched Gemini's Nano Banana Pro and Nano Banana Pro 2, the rumors going around were that it sucked up an enormous amount of Google's compute and that Google was scrambling to find the compute to service the Nano Banana Pro demand. So why now, in the middle of a code gen and AI researcher race, is OpenAI choosing to release what ostensibly would be pretty compute-intensive modality that probably, I'm speculating here, but if you look at the enterprise value of text-to-image generation, I would speculate it is an order of magnitude or more less valuable than code generation. So why in the middle of this hot race is OpenAI releasing an AI model?

51:55Peter Diamandis:Any ideas? Any theories? I'll speculate. This is unvarnished speculation because it's a pretty strange bit of timing to drop Sora on the one hand and then launch a next-gen image model on the other. One thought, this is again admittedly speculation, is if images are much lower compute cost at this point to generate, if the speed at which it's able to generate images has somehow through algorithmic advances suddenly gotten a lot cheaper and faster, maybe images are no longer that compute intensive. And maybe OpenAI has achieved some sort of algorithmic advance versus, say, Google's Nano Banana Pro, in which case they can actually afford to allocate whatever the compute necessary is to this without breaking a sweat or otherwise interfering with their recursive self -improvement program.

52:45Peter Diamandis:That's one theory. I could speculate as to other theories. Another theory would be somehow if image generation is actually instrumental in competing with Anthropic. Anthropic, as we've discussed on the pod previously, doesn't allow users to generate images. So perhaps, again, speculatively, maybe OpenAI thinks that reasoning over images, and I would note even in that launch video, OpenAI talks about, and in their demonstrations, generating screenshots, for example. And in fact, Sam was teasing this release earlier today by posting what looked like a screenshot, I think, of macOS, and saying that, in effect, this isn't a real screenshot.

53:26Peter Diamandis:So maybe OpenAI is betting on some form of supremacy in code generation using images as some sort of intermediate representation. Maybe they think that having stronger image gen capabilities will lead to better, say, UI design code gen or something like that. Those are the first two speculations that popped into my mind. Fascinating. When we heard that they were going to be dropping something, of course, we've been waiting for Spud to drop, right? Their answer to Mythos. Still expected this month, possibly? Still expected, based on everything I'm hearing, still expected imminently. It may be branded as sort of a 0.5 model, ChatGPT 5.5, if you will.

54:13Peter Diamandis:But as far as I can tell, it's still expected imminently. Salim, any thoughts on ChatGPT image 2.0?

54:21Dr. Alexander Wissner-Gross:I've got two thoughts. One is Alex's hypothesis, always a possibility, obviously. I think they need to maybe just show that they're still relevant because they're like launching this. And then the Twitterverse is abuzz with this. It's crazy with the reactions. My standard test is to create a photograph, generate a photograph of the Gutenberg printing press from the 1500s. Obviously, we didn't have cameras back then. How did it do? It did really well. I mean, I did this about six months ago with Nano Banana and ChatGPT, and the Nano Banana one was way realistic. The ChatGPT one just looks better, but marginally better than the Nano Banana one from a few months ago.

55:11Dr. Alexander Wissner-Gross:My second thought is as they're generating a buzz for an IPO, they need as much every ounce of consumer attention as possible and retail investor attention as possible. And getting out to creatives and having this out there may be one way of doing it. Yeah.

55:27Peter Diamandis:I scratch my head, again, just briefly over that, because every narrative that I've seen out of OpenAI, certainly in the lead up to IPO, including out of their CFO, is that it's the same narrative of OpenAI transitioning over from consumer use to enterprise use. So, again, such a head scratcher in my mind. Are enterprises just loving text to image? Maybe. Yeah. Know my point before.

55:52Dr. Alexander Wissner-Gross:There's a huge, huge number in enterprises of PDFs and PowerPoints and so on that could be scanned and rendered in a way that that's what I thought was really interesting about the Claude design thing. And so maybe this is a response to say, hey, we're still relevant there, too.

56:09Dave Blundin:I think you guys nailed it. I think it's exactly what Alex said and Salim, you reaffirmed and a lot more. I use Anthropic constantly and it's generating megatons of code for me. And if I ask it to create a diagram to explain what it did, it sucks beyond belief. It just absolutely falls apart. And so then I have it write code to create diagrams, which is a royal pain in the ass, but it just doesn't do it. And so I use Gemini for most of my planning because it's brilliant. I use Claude for all the coding and all the complicated thinking now. But there's no role for OpenAI in that stack. If they get into white, if you look at what goes on in the real white-collar world, yeah, coding's a little piece of it.

56:49Dave Blundin:But architectures and design documents and images are a massively bigger part of it. So this actually makes OpenAI suddenly relevant in white-collar. It's a good entry point. And once it's in the stack, then, you know, the use tends to grow. I'm sure it's not a random move. Yeah. I'm sure they've got real, real data behind it. The second story that came out that's a very important one is SpaceX negotiates the right to buy Cursor for$60 billion. You know, the war is out there. We heard Elon say they need a lot of catch up to do, especially in coding. Well, guess what? But buying Cursor helps them catch up to Anthropic.

57:30Cursor already has the best product out there, but they're compute constrained. And of course, Colossus gives them all the compute that they need. Interesting breaking story. Dave, what do you think of it?

57:42Dave Blundin:Well, you got that storyline exactly right. They need a foundation model, they need compute, and XAI needs distribution to get in the game and be used. It's interesting, though, when you use cursor right now, you can switch between models just instantaneously. So, you would assume that if this does happen, that somehow it would favor using XAI, maybe put it at the top or default to it or something like that. But as of right now, cursor is completely neutral. It's just easy to trigger between them. And remember, OpenAI was very close to buying, what was it, Windsurf? And then it got blocked. Yeah.

58:23Dave Blundin:So then they turned and they had Cursor in their launch of GPT-5, remember? They kind of featured that partnership. So I don't know if this would then trigger some kind of a bidding war. But I guess, you know, if this news story is right, Elon has it locked up. He has a right to buy the entire company. Or they pay a$10 billion walkaway fee. Fascinating. Yeah. Yeah, interesting structure.

58:50Dr. Alexander Wissner-Gross:They bought optionality, and I think the tradeoff is exactly right. Cursor needs compute, and these guys need access to code capabilities.

58:58Dave Blundin:Yeah, I think this is also effectively a liquidity event. You know, a lot of the Silicon Valley gang is saying, these valuations are incredible, but when are we going to see actual liquidity? This is at least$10 billion of liquidity, more likely$60 billion. Potentially in pre-IPO stock. Alex?

59:15Peter Diamandis:There are a few, I think this is a bizarre story, but it's the sort of bizarre story that could only happen in April of 2026. So a few thoughts. One, pigeon, I would say like dovetailing with the last story, we're seeing that code generation and the rise of AI researchers is maybe in some sense the innermost loop within the innermost loop. So everything seems to be coming down to the question of who can generate, at least among the frontier labs, who can generate the best code and why generate the best code so that you can build the best AI researcher to generate the best AI to generate the best code.

59:57Peter Diamandis:That's what all of this seems to be coming down to. So a few thoughts. One, Elon and others have made comments after the SpaceX-XAI merger that XAI was not built correctly from the start and that they needed to start all over again. SpaceX's VP of Starlink, who's also now head of engineering for XAI, made these comments similarly publicly as well. there was a desire to reboot, query whether this acquisition or quote-unquote right to acquire cursor actually ultimately represents a complete reset of Grok, whether this is in some sense a manifestation of or an admission that Grok's co-gen abilities were not remaining competitive with the frontier.

1:00:44Peter Diamandis:What's the frontier? It's Claude. Next point. So there have been many studies, many analyses of Cursor's behavior. And of course, Cursor was for the longest time able before it decided to launch its own first party model, was in a somewhat privileged position to watch user interactions with all of the existing third party frontier models. And so if you're Cursor, you have to ask yourself, you're in some sense in a position of quasi-vulnerability to those frontier model vendors, what do you do? Quasi-vulnerability. Quasi-vulnerability. Very big quasi there, yeah. Yeah, the quasi is a load-bearing word fragment there.

1:01:28Peter Diamandis:So you're in a position of vulnerability. What do you do? Well, to the extent that you have access to user behavior, you take as much user behavior and context as you possibly can. You probably take a Chinese open-weight model and you fine-tune the heck out of it. based on all of this user behavior. And to the extent that you can replicate Claude code or Claude-level code gen abilities, you probably try to do that. So if you're SpaceX AI and you really would like to be competitive with Anthropic in particular, what's the best way to do that? Well, you buy yourself optionality from Cursor, which may be question mark, question mark, one of the best and or cheapest ways to basically acquire anthropic-level user interaction for Cogen, given all of the users that have been interacting with Claude via cursor.

1:02:25Peter Diamandis:That's the second thought. Fascinating. Third thought, if I may, is the whole cloud angle. So SpaceX, right before our eyes, is turning into a hyperscaler. We talk about the Dyson Swarm all the time, but this is actually what a Dyson Swarm probably looks like. It looks like a cloud in the stars. And this is, it's seemingly going to be the first major tenant of the Dyson swarm that SpaceX AI is going to build in sun-synchronous orbit or maybe around the sun. I don't know. But either way, this is potentially, even in SpaceX's announcement, a million H-100 equivalent. That's Colossus now. That's ground-based.

1:03:08Peter Diamandis:But that's just an anchor third-party tenant. Historically, Colossus and Colossus 2, Elon-style, were fully vertically integrated with only Elon's applications. Now we're seeing an opening up of that cloud infralayer to third parties. Cursor may or may not get acquired. I would expect to see many more deals like this where Elon is now exposing his vast GPU set on ground and soon in orbit to third parties. So how soon until we're all running our compute loads on Colossus, Colossus 2, or whatever SpaceX renames or name, maybe it's Colossus 3 in orbit. I think it's a very interesting time for orbital clouds, and we're starting to see the beginning of that.

1:03:49Dave Blundin:I think the second thing that Alex said is a great lead-in to our Blitzy podcast coming up in a couple of days. Because I think it's very likely that Elon's incredibly confident in his foundation model. And then layering the chain of thought reasoning on top of that, fairly confident in that. But that next layer that actually makes code generation really work, there's a lot to it. And Cursor has worked on it a lot. Blitzy has worked on it a lot. A handful of other companies have. But I think this elevates that layer of the stack to first class. And the science and technology in that layer of the stack wasn't really, it wasn't part of the AI researcher lexicon, but it's become critically important to getting actual functional code, actually getting the AI researcher to really exist.

1:04:40Dave Blundin:And so I think this elevates that layer to another level. And Elon is saying, yeah, we could have the best foundation model ever, but we can't exist in the code generation world without this other thing. It's easier to buy it from cursor than try and reinvent it. Salim, you were going to say?

1:04:56Dr. Alexander Wissner-Gross:Yeah, note that the$60 billion is a drop in the bucket compared to their overall market cap. It's like a little small. And you have to imagine Cursor is concerned about being disrupted, right? So, you know, they have everybody else creating capabilities equivalent to or greater than. This is a chance for them to become part of SpaceX AI as it's about to catapult literally to the stars. and it basically secures their position and makes them part of Elon's ecosystem.

1:05:27Dave Blundin:The cursor team, the four guys, they're awesome, but none of them is a natural public company CEO. There's no obvious Mark Zuckerberg there. And so what are you going to do? Just stay private until eventually you're crushed? You have to do something to lock this up, and this is a good way to do it.

1:05:47Peter Diamandis:I also just want to contextualize, if I may, we talked about this elsewhere in the pod, rumors flying again that Google DeepMind researchers, many of them aren't using Gemini for Cogen, they're using Claude. So I think in some sense, there's a sense in the air that Cogen, for recursive self-improvement AI researchers, this is where it's all coming down to. This is like the final countdown of whatever stage of the singularity we're in, where SpaceX is scrambling with$60 billion acquisitions and OpenAI is dropping large chunks of their initiatives just to focus on this. And Anthropic is hoarding the compute that they do have just to focus on this.

1:06:31Peter Diamandis:I think I see, you know, if you sort of squint at the chessboard, all of the major players are dropping either large amounts of capital or dropping entire other initiatives just to focus on Cogen. And I think I would speculate, but this is somewhat informed speculation. That's because Cogen, in all of their minds, this is like the critical path to maximum change, maximum acceleration. And something interesting is certainly going to come out. To GROC-5. Maximum recursive self-improvement. Well, yeah, GROC-5, which is conveniently the definition in Elon's mind of AGI. I love it. All right, guys.

1:07:11Now let's go back to our regularly scheduled programming. you know, every day, 10 times a day, something's dropping. Extraordinary. Everybody, welcome to the health section of Moonshots brought to you by Fountain Life. You know, we talk about AI on this Moonshot podcast all the time. One of the most important things AI is going to be able to do for you, besides educating your kids and helping you with your taxes, is making sure that you're living a healthy lifestyle, that you get a chance to get to 100 plus. I'm here today with Dr. Don Musalem, the chief medical officer of Fountain Life and a part of my medical team, Dawn, a pleasure.

1:07:45Dr. Alexander Wissner-Gross:Great to hear. You know, the thing that people are concerned about most about living to 100 or 120 is their cognitive abilities, making sure they don't have dementia. And the numbers about dementia are problematic. Can you share what you've learned?

1:08:01Dave Blundin:Such an important point. And you're right.

1:08:03Peter Diamandis:At Fountain Life, our members, the number one thing people are most concerned about is losing their brain health, forgetting the name of their child, forgetting the face of their loved one. We know that when it comes to dementia, the conservative estimates are that 45 % are entirely preventable. What was amazing is with the advanced testing we're doing at Fountain Life, one quarter of our members had advanced brain age. But what was really awesome is, again, back to that prevention,

1:08:29Dave Blundin:when he partnered it with Healthy Living, this gives me chills, eating healthier, moving our bodies, sleep, optimizing sleep is so important. You know what we saw? we saw that we improved that brain age by 26%.

1:08:41Peter Diamandis:That is a big, big number to show that the majority of those individuals were able actually to improve the brain age. And one of the things I love about Fountain is we're searching the world for the best therapeutics, the best approaches, and making sure we bring it to our members. So if having healthy brain function till 100, 120 is important to you, check out Fountain Life. Go to fountainlife.com slash Peter. Make sure you become the CEO of your own health. All right, now back to the episode. Let's jump into the economy. I found this chart absolutely fascinating. This is how hyperscalers compare to the megaprojects in the United States.

1:09:19In particular, this is from a tweet from Finn Morehouse. And so data center CAPACS is hitting almost a trillion dollars, a trillion dollars by the end of this year, six years, a trillion dollars spent. That compares to the Apollo program, which spent$257 billion over 14 years. The Manhattan Project that spent$36 billion over five years. Interstate Highway Program that spent$620 billion over 37 years. You know, when I first looked at this chart, I was like, OK, the numbers are big, but really let's talk about inflation or particular about percent against the GDP. So I did the work and put this chart together.

1:10:00And, yeah, the data centers are still, you know, outpacing the Apollo program and Manhattan Project by a factor of five. And, of course, on the right hand column, you know, all those were government funded. And we're talking about four private companies driving this trillion-dollar spend. Alex, your take.

1:10:20Peter Diamandis:Well, the Dyson swarm is going to consume a huge portion of our economy. I don't know that this should be that surprising to the audience. If it's 1 % one year and 10 % the next year and 50 % the following year, at some point, all of this infra spend, all of this tiling the earth and soon the heavens with compute, surely this consumes the economy. This becomes the de facto economy. I would argue that this is fundamentally unlike the railroad buildout, which some maybe bellyache saying, well, actually, if you look at the railroad buildout, that consumed a disproportionate amount of the GDP. And ultimately, there was a collapse.

1:10:59Peter Diamandis:Or you compare it with Apollo or interstate highways. I really do think it may not happen in this economic cycle. it may happen two or three economic cycles later, that data centers are the infrastructure for the future of civilization. I really do think, say, 10, 20, 30 years from now, the majority of intelligence in our solar system is likely to be intelligence that's hosted on data centers and not human, maybe a good deal sooner than that. That's very, very conservative outer bound. So if this is the entire machinery of civilization, then at what price do we price the spend? It's the future of our whole civilization.

1:11:38But Alex, the most interesting thing here is not the percent or the numbers. It's the fact that all these other mega projects were government funded. And here we see private funding driving this incredible spend.

1:11:52Dr. Alexander Wissner-Gross:Yeah, I think this is very, very exciting because in the past, you'd have to take all the momentum and get the political priorities. And there's such a lot of spade work to do to get government behind a major initiative like this. And therefore, everything just took forever and major things took forever. Now, because of the democratization, individuals and private companies can do things that only governments could do before. And that is a hugely, that will move civilization forward at a 10x faster rate than we did 50, 60, 70 years ago, 100x faster.

1:12:24Peter Diamandis:And so this is, for me, the most exciting part. If the economy grows as quickly as some expect, including Elon and including myself, I'm not even sure the distinction between public spend versus private spend matters that much. If the economy ends up growing 10x, who cares whether it's the approximately one-third of the economy that is the public sector or the two-thirds that's the private sector. If the pie grows so wildly, it almost, in my mind, doesn't matter. The government could, in a much, much wealthier future a few years from now, the government could pick up the tab for AI data centers if we want.

1:12:57Peter Diamandis:And that would still be enormous compared to the size of the economy that we have right now. So in my mind, to the extent I sound a little bit blasé, perhaps, about the distinction between private sector funding this buildout versus the public sector, It really is because I think this is the fundamental infra for the future of civilization that will get us to 10x year over year. In the long run, yes. We're running out of long run, though. It's like a few years away. Yeah, I know. Five years, long run. Salim's point is the one I think is most interesting. You know, the notion is getting political support.

1:13:27I mean, look at the Apollo program as a perfect example, right? It cratered back in 72 because the political support was gone. But all of a sudden, a lot of these projects take a very dedicated, long expenditure of capital. And that can be done by a single individual, right? Elon or Bezos can say, we're building out the moon, we're building out Mars and afford the entire thing.

1:13:53Dave Blundin:Let me give you one story on the government versus private. That F-35 program that's on this chart is actually the second-fastest growing spend of all time. And that's a single plane. Nick Leonard, who works on Voice Run here in the lab, worked on the F-35. And they asked him, you know, that thing's supposed to have a vertical takeoff capability, which is very, very hard to do. And so they asked him to work on a nozzle for the thrust. You know, it's like this rotating nozzle. And could we make it out of carbon fiber? And you're like, there's like a thousand degree exhaust going through that thing.

1:14:27Dave Blundin:How are we going to make that out of carbon fiber? They said, well, just try. So they found a way to make it out of carbon fiber to reduce the weight a little bit, but they have to replace it every 50 flight hours. And they said, fine, good enough. It's only taxpayer money. Go ahead and burn those things up. What do they cost? A million dollars each? Great. We'll burn them up every 50 flight hours. So they actually made that choice. When I look at this chart and I look at the data center build-out, this is the most important and biggest thing humanity has ever done. And whatever country or region does it first and fastest is going to have insane amounts of growth, success, power, whatever.

1:15:03Dave Blundin:I know the point of the slide is this is the biggest and fastest thing ever, but to me, it's too small, too slow. It needs to be even bigger, even faster. And if you push any of it into the public sector, it's going to slow down and it's going to go nowhere. So it's great that it's in the private sector, but it's so different from all these other projects. This is going to change. AI underlies everything in the future. The total economy is not highly society, right?

1:15:28Dr. Alexander Wissner-Gross:Two quick points here. Yeah, everything. I remember, Peter, when we were doing the one-week executive programs at Singularity, we had a very senior official at the DOD come through. And he stood up and he goes, yeah, all you guys talk about exponentials. Investors are all hovering at the knee of the curve trying to take out the technologies as it turns upward. You forget that government is the one that's been funding the flat part of the curve for a very, very long time. And as governments drop and get run out of money, who's funding the flat part of the curve, right? And that answer was kind of stuck in my head for a long time until we see now that private sector can actually take on that type of investment and make that investment.

1:16:08Dr. Alexander Wissner-Gross:To Dave's point, the U.S. private sector is doing a huge amount. But I think there's a massive problem where governments around the world are not putting enough money into data centers for their sovereign future. And that is going to be a massive problem for them as this world moves on because they're going to get left behind. So if you're in government in any countries around the world, figure out a way of funding your own data centers and retaining your own sovereignty.

1:16:36Dave Blundin:Totally right. I think the only comparison that I like in history is World War II. And the industrialization build out during World War II, just in terms of speed and mobilization, that's what a well-thought-out plan would do right now. Do what we did in 1940, 41, not just in the U.S., but globally. That's what you should be doing right now in the AI race. And so I don't know what we spent on World War II, but it was a heck of a lot more than the highway system and the railroad system.

1:17:07Peter Diamandis:I'm curious to take a spot, Paul, if I may. So we're all obviously very excited about 1 % and continued increase in annual percentage of GDP for AI data centers. I'm curious, of the three of you, what do you think, looking backwards historically, will end up being the actual peak annual percentage of GDP spent on AI data centers? On Earth and in space? Everywhere. And on the moon, in the human sphere of existence? And after we've disassembled Jupiter. It will approach 100%. Yeah, it should just keep going. So you think it goes to 100%. What about you, Celine?

1:17:45Dr. Alexander Wissner-Gross:Well, I think over time it should get higher and higher because over time, as you talk about your inner loop, everything becomes Computronium and everything should be in service of building that.

1:17:56Peter Diamandis:What about you, Dave?

1:17:58Dave Blundin:If you include, you know, building physical things to make people happy as part of the data center build out, it's 100%. If you take that out, I'd say probably 95%.

1:18:08Peter Diamandis:I think it's going to, this is not investment advice. I think it's going to cap out somewhere between a maximum a quarter or a third of GDP and then decline after that. Because at some point, AI data centers are consuming so much of our available capital and resources that pressure increases through the roof to reduce that spend through new means of automation like robots. and maybe we get our nano assemblers and that creates cost efficiencies that maybe compensate for, to the extent there is a bit of a Jevons paradox here. I don't actually think it's going to go to 100%. I think it'll peak somewhere.

1:18:47I think you're cheating on definitions here. Yeah.

1:18:49Dr. Alexander Wissner-Gross:Also, you know, at some point we're going to be under a post-capital and post-scarce world, in which case GDP becomes meaningless.

1:18:58Peter Diamandis:You think GDP is going to become meaningless before we finish exhausting data? Well, let's say the GDP is out of date now. This is a whole other thing.

1:19:07Dr. Alexander Wissner-Gross:The GDP is out of date now and has been for several decades. The guy who created GDP said this is one of the worst forms of measuring the economy. So we need to be moving to other measures anyway. So I think we should.

1:19:18Dave Blundin:Honestly, I like the way Alex framed it a lot, because if you tell the general population we're going to spend 99 % of our money on data centers, They're like, well, how does that benefit me? That's terrible. That's the worst thing in the world. The way Alex phrased it, you know, it's just a shift of what you define, but it's much more palatable to the world because, you know, in that definition, you're using pure compute for about a third of the global economy. And the other two thirds is robots and creation of physical goods. Energy and everything else.

1:19:49Dr. Alexander Wissner-Gross:Let's get to AGI first and then we can rethink this whole thing and it'll figure it out for us. All right. Talking about the global economy, let's look at the US economy, in particular manufacturing. So we had like 17 quarters of negative manufacturing growth, 17 quarters of contraction. And we've now seen 16 quarters of pretty steady increasing acceleration in manufacturing. You know, I think we offshored most of America's manufacturing over the last, you know, 50 odd years. In particular, in the last 17 quarters, doing the research here, the drivers of that contraction were the trade war uncertainties under Trump's first set of tariffs.

1:20:33It was the COVID-19 collapse as, you know, we destroyed supply chains. Semiconductor shortages also as part of the COVID collapse. The post-2008 financial crisis had a hangover that didn't fully recover. And so a lot of challenges as companies found themselves unable to manufacture their goods and services. And we've seen now in the last 16 quarters, the CHIPS Act, the Inflation Reduction Act, Infrastructure Investment and Jobs Act, a reshoring wave, AI infrastructure build out and defense spending, basically driving up U.S. manufacturing. So hopefully this continues. Any thoughts on this one, Dave?

1:21:17Dave Blundin:Well, if you want every American to be ultra wealthy, this is exactly the right thing to do. If you're worried about India, like Salim, you'd be worried sick about this, because a lot of prosperity around Asia has come from outsourcing work that ends up in iPhones and in other manufactured products that then flow through America and then go back out to the world. But if we start onshoring all that manufacturing again and roboticizing it, that depletes the rest of the world of those jobs. So, I would expect that global hatred of America is going to go way up, that American wealth will go through the roof, and that this trend will continue, at least for the remainder of this administration.

1:22:01Dave Blundin:So, try not to put a, like, you know, is this a good thing or bad thing spin on it, because it affects different people in different parts of the world very, very differently. But massive, massive amount of capital is now flowing into the U.S. from all over the world. And it's all, you know, because it's not labor dependent, it's robot dependent. It's basically all going to come back into the United States. Engineer, Salim, what are your thoughts on Dave's point?

1:22:23Dr. Alexander Wissner-Gross:So I think that's exactly right. But what's also happening in places like India is they're building their own manufacturing and their own automation capabilities. And they're doing it at reasonably low cost. Just look at the way India is tiling the country with solar panels and becoming energy self-sufficient. I think that's generally a good thing. I think there's a little comment to be made here, though. We've had a very bad political trope over the last many years now that globalization has cost jobs. And it turns out that's not the case at all. What's happened in the U.S. specifically is financial engineering and private equities gone in and bought companies in logistics, trucking, manufacturing, engineering, etc.

1:23:06Dr. Alexander Wissner-Gross:And when private equity goes in, they stall all innovation, outsource the jobs, and they've made it easier to do that. And the irony around this, this is uncovered by Robert Goldberg, was that the LPs in these private equity funds that are outsourcing the jobs are the California pension plan. So the pension of the worker is going to outsource the jobs. So it's the worst incentive alignment ever in this. What we've now found using the EXO model and others, we found ways of de-risking innovation and doing it at low cost back to that demonetization thing. You know, in the past, when you wanted to do anything heavily innovative in a company, you had to make a big bet, right?

1:23:48Dr. Alexander Wissner-Gross:CFO hated you and would defund it as fast as they could, et cetera, et cetera. Today, because the cost of technology is so low, you can do disruptive innovation and try things out at a very low cost at the edge of the organization, only double down when you see success. This is allowing U.S. companies now to go back to the thing. Robert Goldberg, his MTP, was to reinvent American exceptionalism, and he found a way of recreating that wheel. And that's now, I think, starting to bite in a big way where manufacturing and innovation are back with a vengeance in the U.S. And I think that's just fantastic.

1:24:26Dr. Alexander Wissner-Gross:I think the ripple effects will be fantastic for the whole world as well because it'll push the whole world to operate that way. You'll have to be able to compete on innovation going forward.

1:24:36Peter Diamandis:I think manufacturing wants to be sovereign at the end of the day. I think we're going to have advanced nanotechnology and all sorts of other sci-fi-esque technologies that enable every sovereign nation state to be able to effectively re-domesticate or domesticate their entire supply chain. I don't think it's necessarily, given all of the technologies that I think I reasonably foresee over the next, call it five to ten years, I don't think supply chains necessarily want to be global in the long term. In which case, capacity, domestic for the U.S. or otherwise, is limited more by technological advances and capability than any sort of geopolitical shifts or shifting around to supply chains.

1:25:16Peter Diamandis:I just, with all of the advances that I expect to happen over the next five to 10 years, I just don't see a bright future for global supply chains and, in particular, globally supplied manufacturing at all. Not investment advice. Alex, if you think about the fact that we're talking about manufacturing physical goods and services, the other place we're going to see this probably is in food production with the vertical farms and protein-based meats. And interestingly, the flip side of this, of course, intelligence is being globalized, right? By definition, when we move these things to orbit, they're globalized planet-wide.

1:25:57So fascinating shifting of where things get made and consumed.

1:26:02Peter Diamandis:Physically being globalized, but not politically. I think we end up with probably two sovereign Dyson. Well, the U.S. is going to wind up probably with, I think, three or four competing corporate Dyson swarms. And who knows how many China will wind up with, query whether Europe or other parts of the world will be capable of launching their own Dyson swarms in time. But that's still a political division of the heavens. Salim, you were going to say?

1:26:28Dr. Alexander Wissner-Gross:No, I just agree. I think this is an important point. By the way, last time I mentioned Holland as a small point because there was a global food exporter, not from vertical farming, but they've been doing hydroponics, aeroponics, greenhouses. I'm actually getting a briefing from one of the top vertical farming companies in the world. So I'll come back and tell you guys what I learned from that.

1:26:53Dave Blundin:Well, I'll tell you, globalization exists fundamentally because of shipping. Everything is moved by boat. There's no other way to move it around the world. And the U.S. Navy is the protector of all global shipping. You see what's going on in the world right now. What's weird about the U.S. is that we have all the natural resources that we need internally. Yeah. And so, we don't actually have a huge incentive to support globalization other than labor. heavily reliant on Asian labor to make iPhones, to make cars, to make whatever, to make parts. But if that all moves to robots, there's no natural reason why the U.S.

1:27:30Dave Blundin:Navy needs to support and defend every transport ship in the entire world going forward. TBD, what direction the U.S. goes on that, but no other country is geared up right now to protect shipping. And you see Europe isn't even trying in the Strait of Hormuz. It's like, yeah, you know what, we don't want to that cost, you guys figure it out. But you're the biggest importer of the oil. Like, wait a minute. Our Navy is so critically important for this. Yeah. Dave, you surfaced this chart in our WhatsApp group. Do you want to brief us on it? It's pretty amazing. It's truly amazing. Well, now this is perplexity speaking.

1:28:08Dave Blundin:So if anyone fact checks this and remember it was perplexity, but I think it's right. I looked at the numbers, but yeah, so San Francisco is now bigger than China, all of China in market cap. This is just counting the market caps of the public companies. So it's about a billion people versus about a million people. The flow of wealth into San Francisco is going to make it the global capital, the global financial capital of the world easily. If it's not already, people just haven't noticed yet. But you can see on the chart the rest of the U.S. compared to San Francisco. The rest of U.S. is – and then China, you know, as a small fraction of that.

1:28:58Dave Blundin:And actually, let's see, there's another slide that showed the same thing, but I guess we took it out. The point – 14 percent of the global market cap is concentrated in 7 ,000 square miles. That's extraordinary. I mean, it's one major earthquake away from economic. There's a cheery thought.

1:29:17Peter Diamandis:It's also, I think, in part reflective of, admittedly, a cliche that the way public companies work in China is materially different, usually from the values of very shareholder activist West and the U.S. The cliche, of course, is that for Chinese public companies, profit is not necessarily as prized a measure of performance as it is in U.S. and Western companies. And if you do like a discounted cash flow analysis for Chinese public companies, and then you also discount the impact of the CCP and government regulation, Maybe there's in some sense a suppression of book value that comes from that that otherwise could be realized if they were a little bit more profit oriented and a little bit less, say, oppressed by the CCP.

1:30:04Peter Diamandis:But I think it's sort of it's an interesting statistic for sure. And one would certainly if you're a U.S. policymaker anywhere other than San Mateo County or San Francisco or Santa Clara, you would absolutely love for your geography to be the world center of the future. But I would pose maybe as an open question, how do we get diffusion from Silicon Valley and SF to the rest of the country and the rest of the world? I have lots of thoughts. The billionaire tax will do that for us. Billionaire tax will shake loose a few billionaires for sure. No, no, no. The billionaire tax is interesting. It's moving people to Texas and Florida.

1:30:40It's a jobs program for Florida, right?

1:30:42Dave Blundin:Well, it pushed out – the billionaire tax already pushed out half of the tax base that it would have taxed. That came up on the All In podcast in a big way. And so it's completely counterproductive. But it's not affecting the inbound entrepreneurs at all. What's happening is people are forming their companies and their teams and their ideas all over the country. And then moving. Wherever there's universities mostly. But then they're moving to San Francisco. And they're young and they're not rich yet. So they move to San Francisco without thinking about the billionaire tax. Then later when they're billionaires, they're like, why am I here?

1:31:14Dave Blundin:And that's when they move to Austin or wherever. But it's not slowing down San Francisco in terms of entrepreneurship and growth. So the slide we're looking at here is tech market cap, but actually San Francisco passed all of China in total market cap. Alex pointed out that market cap is a little bit of a weird statistics in China, but I really feel like when you measure a global economy, if somebody makes dinner for somebody else and then they charge them$20 for it, that counts as a dollar in the economy, but it's gone. It got eaten. It turns to poop. It's not a thing. Somebody else creates a new chip or a new engine or whatever.

1:31:54Dave Blundin:It creates permanent value for that society. Massive amounts of gain. An iPhone, massive amount of permanent gain. That counts as a dollar in the economy. So I think when you strip it out, yeah, exactly. When you strip it all out, what's going on in San Francisco is absolutely extraordinary and unprecedented in world history. And then you should go and experience it for a week or two, no matter where you live and just talk to people. You can't even walk down Market Street without five people talking about Anthropic or an Urban AI right behind you.

1:32:24Peter Diamandis:Go to the coffee shops and just use the billboards. The billboards on the 101, especially like every billboard is referencing super intelligence. Yeah. Amazing. All right, let's jump into one of our favorite topics here on our pod, the race to space. This week, Blue Origin and their New Glenn did their third launch. It was a bittersweet. New Glenn, their reused booster flew beautifully. It landed beautifully. The challenge is when they launched their AST satellite, it launched into the wrong orbit, and AST is having to deorbit that satellite. I think the points I want to make on this particular story is, first, Blue Origin has demonstrated booster reuse three times faster than Falcon 9 in terms of from the first time when they started launching New Glenn to the time they were able to reuse their booster.

1:33:16Of course, the reality is SpaceX has launched 600 times and Blue Origin's only launched three times. The big race right now is who gets the lunar contracts. We're going to the moon in 2028 with Artemis 4. Artemis 3, don't forget, is going to be testing operations in low Earth orbit for going to the moon. Artemis 4 is going to be making a lunar attempt. And right now, SpaceX and Blue Origin are vying for the contract for NASA's lander there. Alex, I'll go to you as my space buddy in this conversation.

1:33:51Peter Diamandis:Well, I think it's notable that United Launch Alliance, ULA, isn't even part of this conversation. It's just that the neospace companies, SpaceX and Blue Origin, I think competition is profoundly good. I don't think we want to wind up in a singleton where a single company controls the Dyson swarm, which I think is still more or less the endgame here. I think a lunar station on the South Pole with Artemis 4 is just a waypoint to launching lots of AI data centers from the moon. And I think SpaceX, based on their recent public communications, would agree with that. So I view this as a very positive thing.

1:34:26Peter Diamandis:And I would like to see, ideally, more than two Western companies that are capable of rapid reuse of boosters. Hopefully, we'll see at least one or two more publicly traded companies or soon-to-be publicly traded companies in the space do it. We're certainly going to see quite a bit from China. I think this is very positive. I, for one, just on Artemis 4 specifically, I'm looking forward to Artemis 3, which is, I think, a very, according to Administrator Isaacman's new roadmap for Artemis 3, it was originally going to be Artemis 3. That was the crude landing on the moon, pushed it off to Artemis 4 so that Artemis 3 could focus on a demonstration of the docking of the lander and the orbital vehicle.

1:35:09Peter Diamandis:And I think that's going to be super interesting. I love the new cadence that NASA has announced under Jared Isaacman of rapid iteration. In some sense, SpaceX-like rapid iteration toward colonizing or, let's say, disassembling the solar system. This is the only way we get there. And this is an important step in that direction. And Jared has said he'll come on the pod. I think I wanted to wait until after Artemis II was done. I think it's time to start the invitation process to bring him on. Absolutely. You know, we have the dark horse is relativity space. A friend of mine, Tim Ellis, had built that really to go up against the Falcon 9.

1:35:50I mean, interesting, when I met with Elon when he was just announcing Starship, he said his plans are going to be to retire Falcon 9 as soon as Starship is operational. I mean, think about Falcon 9, the most successful launch vehicle by an order of magnitude, is going to be retired when Starship comes online. And he always burns the ships, right, after he develops it. He retires the old system, did that with Falcon 1 and now Falcon 9. You know, it's going to be interesting to see what Eric Schmidt, who bought Relativity Space, does with it. So hope it gets up and operational. It'd be great to have another super large booster like this coming into operation.

1:36:32Peter Diamandis:For sure. And I think it's sort of an interesting microeconomic question to ask. how many different transport to LEO services, or let's say heavy launch providers, do we actually need in order to keep that market competitive? And is that a long-term source of profit? Or is that sort of, as with, frankly, civilian air transport, a case where profit margins are driven to zero, it's just a transport, it's just a dumb pass-through, and all of the profit is in LEO with data centers or orbital Hiltons or something like that? It's Boeing and Airbus. I mean, capturing 90 % of - Except Europe isn't in this story.

1:37:09Yeah, Europe is not. I mean, they, you know, listen, they kind of tried, but they went all school all the way. And China still has not gotten to, you know, reusability yet. They're also trying and having some failures along the way. All right, Alex, this is a fun story that you and I talk about on text all the time. the UFO UAP disclosures that are coming. I'll play these two videos and then let's discuss it. All right, the first one, President Trump on UFO declassification. I recently directed the Secretary of War to begin releasing government files relating to UFOs and unexplained aerial phenomena.

1:37:53That this process is well underway and we found many very interesting documents, I must say, and the first releases will begin very, very soon. All right. Related. Another story coming out of the news media and the White House.

1:38:10Dr. Alexander Wissner-Gross:Ten missing scientists with access to classified stuff, nuclear material, aerospace. They've all gone missing or turned up dead in the last couple of months. Based on what you've been briefed, what do you think is happening here? And do you think that this is connected or totally random? Well, I hope it's random, but we're going to know in the next week and a half. I just left the meeting on that subject, so pretty serious stuff. But some of them were very important people, and we're going to look at it over the next session. AWG, over to you. What do you think of these? Are they connected? Tell us your thoughts.

1:38:44Peter Diamandis:You know how Elon likes to say the strangest words to the effect of the strangest future, or the most ironic future ends up being the one that we find ourselves in? Yes. I find myself, when hearing stories like this, wondering whether a UAP could land on the White House lawn, be fully televised, and then general public turns up its nose and asks what's next on television because of issues relating to over-politicization. If the president does the proverbial Rose Garden address and makes some major announcement in connection with UAP disclosure or NHI, Will people just, or at least maybe half the population, say, I don't believe it for one second because of the overly politicized climate of the moment and what else is on?

1:39:33Peter Diamandis:I do wonder whether we're going to find ourselves in that world. I will say, like, I was a few weeks ago, I was on Capitol Hill doing closed door briefing with Senate and House staff on issues relating to science and technology. And I will say on Capitol Hill, this issue is taken extremely seriously. It's contra, say, 10 years ago when it was well outside the Overton window of discourse. It's very much inside the Overton window of discourse now. I chat with friends of mine who were in charge of the relevant hyperscalers and the government clouds, who were actually in the process of carrying out the president's historic UAP directive to declassify files on top secret government networks that are connected with disclosure, his now historic executive order regarding UAP disclosure.

1:40:27Peter Diamandis:And as far as I can tell, this is all in process. And I'm hearing stories from my friends at the Hyperscalers about how UAP disclosure in connection with the president's executive order is scheduled to conclude no later than January of 2027. So, Alex, question. Yeah. This has been discussed like Project Blue Book. There have been a number of presidents over the past that have talked about disclosure and stuff comes out that's just blanked and not actually earth shaking. Are we gonna finally see some earth shaking information here? I agree with your point, by the way, that this could be disclosed, UFOs in the White House lawn, alien body autopsies and people saying, okay, what was the sports score last night?

1:41:12Peter Diamandis:Exactly. But here's the other point I wanna ask. You know, we saw this in Age of Disclosure. I love that documentary, urge people to go and watch it. It's worth your while. A lot of very high-ranking generals, admirals speaking about what they've heard, what they've seen. But we also know that a lot of this was taken out of the government and put down into private companies to avoid FOIA. And this is now being apparently managed by private contractors that, you know, are resistant to disclosure. Any thoughts around that? Yeah, I will say, and I made similar comments when last we were discussing the documentary Age of Disclosure, that if the central allegations in that documentary are accurate, and just to provide sort of a one-sentence summary, the central allegation made by 35-plus senior current and former U.S.

1:42:08Peter Diamandis:government officials in both the executive and the legislative branches, The central allegation is that there has been a highly illegal 80-plus year campaign project to capture, retrieve, and reverse engineer crashed UAPs. That's the central allegation of that documentary. If that central allegation turns out to be accurate, then I would argue, and I have argued in the past, that this is borderline crime against humanity. If literally, as alleged in that documentary, if there are civilizations, non-human intelligences essentially raining technology down on us, and there's some illegal group, illegally operated, quasi-governmental, quasi-contractor-based group that is recovering artifacts that could advance human technology and civilization by centuries or millennia.

1:43:08Peter Diamandis:millennia and it's just being suppressed or even worse, weaponized for purely offensive or defensive military purposes without seeing the light of day of civilian applications, which could affect a variety of sectors. I think that type of conspiracy, if it is indeed real, is not just criminal, but I think it's a crime against humanity that, if accurate, I have to to add the appropriate caveats, would have potentially set back human progress by maybe a century. I think it would be devastating. So, that's one of the reasons why, one of several reasons why I think this is a very interesting space to watch.

1:43:51Peter Diamandis:In my mind, we're getting super intelligence from AI one way or another. I think, in some sense, there's relatively little alpha left in extrapolating the super intelligence explosion. But when I think of what are the sort of crazy left turns that could hit civilization in the next few years, it's a very short list of crazy things that could happen that would derail the singularity or alter the course of the singularity. I think something like this, this is one of them. This is near the top of the list. And so I think it bears close scrutiny. Dave, do you remember the conversation with Elon? I asked Elon outright.

1:44:31I said, what do you think? Have you seen the documentary? What do you think of UAPs, UFOs? And his comment, you know, honestly was underwhelming. He said, you know, we have such advances in camera technology. Why are all the imagery, you know, blurry?

1:44:46Dave Blundin:And they're black and white even. And I was like, it was like, okay, even if you knew, you probably couldn't tell us. All right. I don't want to spend more time on this, but I do have a question here about the 10 missing scientists. You connected it all. You know, we've heard a number of the scientists out there, a number of people on the, since the age of disclosure, a lot of people saying, you know, if I disclosed any of this to you, you know, I would potentially lose my life. I mean, people feel like they're under threat. And see, we see these missing scientists, these suicides. Anything about that in brief, Alex?

1:45:24Peter Diamandis:It's certainly concerning. There have even in the past 24 to 48 hours has been statements from both the executive and the Congress talking about the active investigation. There have been messages from messaging from congressional leaders that this is now being treated as connected, as opposed to just an unfortunate coincidence. We see that tweet down below by Representative Ogles that says, I have seen evidence so classified that just knowing it exists makes you a target. It is very concerning. I want to make maybe one closing comment, if I may, on the intersection, call it between artificial superintelligence, ASI, and the statutory term for this is non-human intelligence, NHI, ASI, NHI.

1:46:13Peter Diamandis:And that is this. We talk, Royal We, I talk on this pod often about building the Dyson Swarm, disassembling the moon, disassembling planets. I'd like to think a little bit larger scale for just a minute. I think as a civilization, we're on the verge of having enough technology, thanks to AI, to be able to send von Neumann probes, self-replicating probes in all directions at relativistic speeds throughout our galaxy and all other things being equal, if we wanted to as a civilization, converting our entire galaxy over the course of tens of thousands of years, light speed limitations, obviously, to paperclips.

1:46:53Peter Diamandis:If we wanted to paperclip the entire Milky Way galaxy and we're alone, we could in a few years with advances in AI and space and AI and space. And so if there were a time for any non-human intelligence elsewhere in our Milky Way galaxy to make a cameo appearance and stop us from at least having the optionality of paperclipping the rest of our galaxy, I think they're going to have to make a cameo appearance sometime in the next few years because this intelligence explosion is about to give us, as a civilization, galactic superpowers. Yeah, and that, of course, holds as well to the appearance of these UAPs, UFOs, at the turn of our nuclear age when we had the ability to destroy ourselves.

1:47:38We could speak about this forever. I'm going to move us along. I know you have a hard out at some point, Alex. So in other news. OK, so here we see China continues to dominate in solar. I mean, these numbers are tough segue, Peter.

1:47:52Dave Blundin:How are you going to segue from that to that? Meanwhile, good luck. Meanwhile, China made some solar panels. All right. Peter, that's where you earn your keep. Well, listen, you know, China's dominance in solar is is pretty extraordinary. You know, China hit their 2030 goal five years early. 90 % of new power capacity in China is wind and solar. And they have actually installed 1 ,500 gigawatts of solar. It's half of the total global energy production compared to almost 300 gigawatts here in the United States. I just point this out for everybody because solar is being underdeveloped in the United States.

1:48:35And I truly hope we start developing it further. You know, we have nuclear, we have fusion coming, but solar is here now. And I think we need to be deploying it more. Salim, you want to make a comment on this? Well, this is just a big strategic thing.

1:48:48Dr. Alexander Wissner-Gross:As you do solar, you need less oil. And therefore, what China is doing is slowly reducing its dependence on any kind of oil. So energy is also the new substrate. And China is playing for substrate advantage. Yeah, very smart. All going for, yeah, good on them. Yeah.

1:49:07Dave Blundin:Yeah, we need to get on this too because, you know, we've already decided the Dyson Swarm is the, the Dyson Sphere is the future. And that's solar too. Now, the panels are six times more efficient in space, but six times is not that much when you're building an entire Dyson Sphere. So we're going to need massive amounts of solar manufacturing capacity.

1:49:26Dr. Alexander Wissner-Gross:And by the way, I've been watching carefully the advances in perovskite. And in the labs, they're now hitting 35 % solar capture, which is amazing. Isn't that a crazy number? That's a crazy number. And now the only question is, how do you make the perovskite last long enough to match the competitiveness of silicon palinals? And they're not far from it. They're not far from it at all. And if you have perovskite, which is quite abundant and easy to make, you reduce all the rare earth mineral dependence to zero, which is incredible. And perovskite's cheap is one of its principal benefits. All right, two stories in the robotics world, actually three stories robotics world.

1:50:05The first is that Beijing ran its second humanoid robot half marathon. The lightning robot won the second Beijing humanoid half marathon in 50 minutes, 26 seconds. The human world record is 57 minutes held by Jacob Kiplimo. Well, last year, this half marathon took two hours and 40 minutes. This year, it took 50 minutes. So, you know, the fact of the matter is China is driving so hard on robots. It's a priority for the nation. They're using these kinds of competitions to highlight it. They have 150 humanoid robot companies. I'm going to turn it to you, Alex, on the second story, which is yours.

1:50:47Peter Diamandis:Yeah, this is sort of an interesting split screen. So let's rewind to last year when China ran their first humanoid robot half marathon. I watched that story. I covered it. And I was so upset that the U.S. and the West had nothing like that, that I resolved to try to start a U.S. equivalent. And my first pitch was with Tom Grilk, who's the former head of the Boston Athletic Association, which ran the Boston Marathon, including at the time of the Boston bombing, to the Boston Athletic Association trying to persuade them that they should host a humanoid robot or robotic marathon the weekend of the Boston Marathon.

1:51:32Peter Diamandis:And they looked at me like I had dropped a dead fish on their table. So Tom and I, Tom recruited his son, David, and I recruited capital from my fund, O220 Capital. And we funded a startup in this area called Professional Robotics League that this past Sunday, we're recording this on a Tuesday. On Sunday, we held the countries and North America's and the West's first humanoid and non-humanoid professional robotics race ever. We did this in the Boston Seaport. You can see some video here from the event. We had a range of manufacturers, Chinese and Western robotics manufacturers. It was a 50 meter dash because we had to start somewhere.

1:52:20Peter Diamandis:And it was a tremendous success. I'm just sad that we couldn't do a live podcast from this event because there were so many Moonshots fans who showed up. There were people flying in from Texas, people flying in from Canada just to attend this event. This was historic first for the country. Yes, the robots were operating a little bit more slowly. Yes, we didn't have the support of the Chinese Communist Party forcing everyone or every robotic vendor to participate. But, you know, we had to start somewhere. And I think it was a wild, wild success. The most touching moment for me, we did an exhibition match the day before on Saturday.

1:52:58Peter Diamandis:And there were people just walking by on the street in the Boston seaport. Little boy came up to the railing that we had set up, a little barrier, and said at one point to me, I think I could do a better job designing a better robot. I want to be an engineer when I grow up. And I was ready to burst out in tears. That was the most touching, I think, event from the entire race. I would just say we're going to need to do quite a bit more like what ProRail is doing in the West in order to make sure that U.S. retains primacy in robotics. But we're going to do it. Well, congratulations, Alex. The only elephant in the room here on this one is all three humanoid robots.

1:53:40We're Chinese. We need to get the U.S. manufactured. In that photo. We had some nice beady dogs. Our third robot story here. Salim, you kick this to us. Why don't you go ahead and brief us?

1:53:51Dr. Alexander Wissner-Gross:Yeah, so this is a picking robot. And the combination of vision plus AI plus dexterity is now leading to all sorts of new stock picking systems. I was at the Mudex show, 30 ,000 people. And this is the video I promised, or one of them that I promised to show you. Radical changes. By the way, not a humanoid in sight, because I think on the back office, you're going to see industrial robots like this. I thought you wanted more than one arm. Here's your non-humanoid robot, Salim. You should rejoice. I should rejoice. But really interesting to see there. So I just wanted to show this very quickly.

1:54:30All right. You know, I talk about the Crisis News Network, CNN. This crossed my X filters here. America's trust in mass media is at a record low. So here we go. Only 20 % of Americans now trust the mass media. It's the lowest in 50 years as measured by Gallup. It's down from 68 % in 1972, and it's down 40 % in the last five years. So just as we're seeing AI come online, we're seeing a collapse in trust across all of these areas here. Salim, back to you on this one. Well, this is a business model problem.

1:55:12Dr. Alexander Wissner-Gross:You know, when you privatize media and people for lots of reasons went through this, we've been telling the newspaper industry for 20 years that they were going to be in deep trouble with online. That happened. And I think the big challenge now is we don't, legacy media has lost its monopoly on reality construction. And we're going to have to think about how do we deal with this? How do we deliver trust? As Jerry Mikulski points out, scarcity equals abundance minus trust. So you have to figure out how to bring trust back into the equation. By the way, audiences like this and shows like this, where we go direct voice is way more effective than institutional polish for delivering trust.

1:55:53Dr. Alexander Wissner-Gross:And so we're going to have to have a lot more stuff like this out there in the world to restore any level of that. I think that XPRIZE around figuring out what is trustworthy and notable and what is true is also useful. I'm really, really excited watching XAIs where people can say, hey, Grok, is this real or not? And bullshit gets called out very quickly on that. And that's proving to be very powerful and very important over time.

1:56:18Dave Blundin:I totally agree. I think that XPRIZE needs to come back. I know it's a really tough one to design, but this is going to become a crisis because that line's only going down from here with deep fakes. There's no rebound in sight. And like Salim said, there are lots and lots of truthful, credible people out there, but they can't get above the clutter. So if we can figure that one out, you might be able to reverse the trend. And, you know, I think that if you're an entrepreneur out there, thinking about how do you build something that delivers trust in a way that people actually believe is true, that they actually trust, is a great opportunity.

1:56:55Other stories, we just saw the Apple CEO, Tim Cook, stepped down, the head of hardware manufacturing, stepping into the role. Any thoughts on this, gents?

1:57:06Dave Blundin:You know, I lost track of the fact that when Steve Jobs passed away, Apple was worth about$300 billion. And that was huge. Now,$4 trillion. That's just crazy how big everything has gotten. Meanwhile, Apple has not introduced a new product in that entire time. It's still the iPhone. It's just crazy how little innovation has driven that much growth and profitability under Tim's. And he did a great job of cutting costs and vertically integrating everything. building Apple Silicon, internal chips. The biggest innovation during that time frame was the AirPod, if you can believe that. That's crazy. And of course, the phone is going to go away as a modality.

1:57:45We've been talking about that for a while, where headsets come in and pins and other technologies that are watching and listening all the time. And of course, your AI becomes your interface, intermediating all the apps out there. Alex?

1:57:59Peter Diamandis:My best guess is that we'll look back on the Cook era as being analogous to the Balmer era of Microsoft, that we had Bill Gates as the original visionary technocrat founder, CEO. Then the antitrust trial pushed Bill in a number of ways to be chief software architect, focus on his foundation. Balmer stepped in. Balmer more of an operator, less of a technological visionary for a number of years. And then we got to the Satya era now where we see Microsoft being resurgent again with new categories willing to drop initiatives that weren't working, refocus initiatives where Microsoft could once more become a technical leader in the cloud and elsewhere.

1:58:44Peter Diamandis:My best guess is we view the jobs to Tim Cook, to John Ternus transition as somewhat analogous where John came up not through operations like Tim Cook did, but he came up through hardware engineering. And so, I would expect a new Apple under John Ternus starting later this year to be more focused on breakthrough hardware devices and hardware-centered innovation. Of course, the elephant in this particular room is AI and Apple's seeming inability after multiple swings at bat to position itself as the lead distribution platform or server for AI. It has fallen prey to all the frontier models. And even Microsoft, with its quasi-failing co-pilot initiative, has leaned more into AI than Apple has.

1:59:33Peter Diamandis:So, I would expect a new device-oriented AI strategy from John Ternus. Maybe, ideally, I was chatting with a new friend from Apple Marketing a couple of weeks ago in San Francisco, asking them, why on earth, given the popularity of OpenClaw, why isn't Apple leaning into an OpenClaw-oriented device strategy? You're selling Mac Minis like they're going out of style. Why isn't Apple marketing all of its hardware as being personal open clause?

2:00:03Dave Blundin:Silence. You want to hear something amazing? I think the answer is buried in this amazing stat. There are seven magnificent, seven mega tech companies. Four of them still have their original founders as controlling shareholders and active, and they're all doing AI. Three of them are on CEO number two, three, or four. And they're the three not doing AI. So Apple, Microsoft, Amazon. That tells you everything. That tells you everything.

2:00:29Dr. Alexander Wissner-Gross:Two quick thoughts. One is what a set of shoes to try and fill for John coming in. And second, what an amazing opportunity. I mean, just imagine if we were CEO of Apple and you can go, okay, let's now really take this to the next level. We'd have such a great time. But, Celine, we all know the founder CEO has such control over the company, not only because of their stock position, but because they're seen as the visionary. And if you want to come in and make a right turn on your company, you're fighting everybody. It's like, don't disrupt our revenue. You know, we have predictable revenue. The profits have been going up.

2:01:06You want to do what? It's really very, very difficult. And, of course, Tim Cook will remain as the chairman of the company. and good luck to Apple. A lot of change is coming.

2:01:18Dr. Alexander Wissner-Gross:I like the fact they've got a hardware-focused person in there. That's great. 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-compiles 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.

2:02:02Enterprises are achieving a 5x engineering velocity increase when incorporating Blitzy as their pre-IDE development tool, pairing it with their coding co-pilot of choice to bring an AI native SDLC into their org. Ready to 5x your engineering velocity? Visit Blitzy.com to schedule a demo and start building with Blitzy today. You know, last time we had a great conversation about the five forks that humanity is going to take. We got a lot of incredible feedback from our listeners. Our discussion today among the moonshot mates is going to be around the war in Iran, in particular, the potential disruption coming in the Straits of Harmouth.

2:02:46Here we see an image of the Straits. And let's jump into this conversation. I think it's incredibly important. You know, the Straits are going to impact AI infrastructure buildouts to a large degree, you know, driving aluminum shortages, global oil shortage, natural gas, helium, driving a lot of concerns. You know, we see a lot of change coming and it's hitting already. Who wants to dive in first on this?

2:03:18Dave Blundin:Well, you know, I grew up in Iran. That's where I spent my early childhood. And I'll tell you, it's just incredible to me that absent U.S. involvement, Iran would just continue down the nuclear weapons path unchecked and eventually have a nuclear weapon and eventually launch it at Israel or wherever. And that's just going to happen. So the U.S. goes with Israel, bombs a whole bunch of nuclear facilities, and then they shut down the Strait of Hormuz. Now the U.S. Navy has sunk the entire Iranian Navy and is now trying to reopen the strait. But it's very, very, very hard to do because it's such a narrow pass.

2:03:54Dave Blundin:It's very easy to mine it. It's very easy to launch things from shore. And the drones are dirt cheap now, so the drones can just blow up one. These oil tankers are very slow, right? Not hard to build a drone that can hit an oil tanker. And what do you know? Oil burns. Oh, my God. It's not an easy thing to fix. And so it's a major, and that's about a quarter of the world's oil supply moves through that strait. So, yeah, it's a clusterfuck, but what else were you going to do? So, yes, we are approaching a massive material shortage. It'll show up mostly in Korea and Japan, who are huge importers through the strait.

2:04:30Dave Blundin:It's not going to affect the U.S. too much. We have plenty of oil supply in the Western Hemisphere, but it's a big problem for East Asia. Let's talk about helium, right? A third of the world's supply of helium comes out of Qatar, out of the Rosloffin facility there. And helium is absolutely critical in the fabrication of chips. And it's going to be hitting TSMC and SK Heineck. Thoughts on this, Alex?

2:04:58Peter Diamandis:Yeah, I've seen scattered reports of shortages of certain memory chip facilities in South Korea facing reportedly multi-week deadlines to resolve their helium shortages before they're unable to manufacture memory chips. I'm not sure where this ends. It's almost easier to predict what happens after it ends, which is to say, I think it's high time to start helium startups. I think having this global geopolitical dependency on one narrow, volatile geographic region is completely unacceptable. A lot of helium certainly comes as a byproduct from fission. There have been various speculations over the years.

2:05:46Peter Diamandis:I know you and I, Peter, have talked about

2:05:51Peter Diamandis:unconventional isotopes like helium-3 being mineable from the moon and elsewhere. I look at material shortages and I say in the long term, each of these is a startup opportunity for us to come up with clever new ways to radically decrease the cost of generation and also redomesticate production. There is, I think there's been, from what I've read, meaningful movement in the direction of strategic helium reserves. I think that's probably an important component of this strategy. Truth be told, I don't know where the Iran war and helium in particular shortages end, but I feel more confident in predicting what happens after it's over and how we make sure that we're never technologically in this position again.

2:06:37Agreed. You know, abundance is a rule in the final result. You have short-term scarcity, but at the end of the day, entrepreneurs will step in. And there is helium globally. It just needs to be put into manufacturing. It's actually pretty abundant in our universe.

2:06:53Peter Diamandis:We just need a better way of harvesting it. You know, the other thing that's going to hit real quickly here, worth noting, is natural gas supply. Taiwan is completely dependent on natural gas, right? And the stat I read is that Taiwan has 11 days of natural gas reserves and that a prolonged blockade is going to cripple Taiwan's semiconductor industry. So that is even a bigger concern for me than the helium supply.

2:07:22Dave Blundin:Well, I'll tell you, Taiwan had a water, you know, rain problem a couple summers ago, massive water shortage. The one thing they kept going was the chip fabs. Everybody had to stop showering, but the chip fabs did not slow down. So I suspect they'll sacrifice every creature comfort but keep those fabs running no matter what. But who knows?

2:07:43Dr. Alexander Wissner-Gross:A couple of comments here. For me, this Iran war is not really just an oil shock. It's a system shock, right? Because you've got healing issues, insurance spiking. There's a whole cascade of little bottlenecks that are coming along that are going to cause a huge challenge. There's two that struck me. One is aviation bottlenecks. Europe imports 30 % to 40 % of its jet fuel, and half of that comes from the Middle East. So it's going to be a big problem over the next few weeks around that. And the second, which is really the big tragedy in my mind, is food inflation because fertilizer not getting out there, etc., is going to be a huge problem for food production all around the world.

2:08:25Dr. Alexander Wissner-Gross:So something like 30 % of the global fertilizer supply passes through the Straits of Aromas, or depends on the gas that goes through there. So this is a huge systems problem. I think it's going to accelerate deglobalization because people will not want to be dependent on these overall global supply chains going forward. So there's a silver lining, but it's a down to the streamlining. I want to share some feedback from our community. So we read the comments that you make every week. And there were three principal comments that you made last week and want to address them. The first, you know, pushback from everybody, we read this in the comments, is, quote, not everyone can be an entrepreneur.

2:09:09And Salim, you, Dave, Alex and I are constantly saying, hey, become an entrepreneur. So let's talk about this. Let's address that in this comment. So I want to acknowledge the criticism directly, right? You're right. Not everyone wants to be an entrepreneur. Not everyone can be an entrepreneur. But the fact of the matter is becoming an entrepreneur has become much easier by orders of magnitude. And I think the conversation here is that if you never thought you could be an entrepreneur, the opportunity to become an entrepreneur is greater than ever before. So let me share a couple of data points here on this.

2:09:48So first off, the cost of starting a business has plummeted. It's come down 99.7%. You can see on the left back in 2005, a traditional startup costs. You had legal costs. You had hardware costs. You had all of these different costs. It's come down tremendously. And the fact is, if, you know, an entrepreneur by definition doesn't have to be someone going out and raising venture capital. It's not someone, you know, starting a billion dollar startup. You could be an entrepreneur if you're a nurse and you see an opportunity to start a home health care business or you're a barber and you want to start, you know, get another chair going in your shop.

2:10:33It's finding a problem and creating a solution to that problem. Salim, you want to jump in on this? Yes.

2:10:40Dr. Alexander Wissner-Gross:So, you know, I agree it's the old model of entrepreneurship was very, very difficult and most people cannot become entrepreneurs. OK, but everybody can become more agentic. Everybody can become more AI leverage. Everybody can become more resilient, more resilient. Right. This is the shift is not to entrepreneurship is moving from employment dependency to being self-sovereign in capabilities. So there are other paths, founder, freelancer, craftsperson, operator, local business owner, as you mentioned, Peter, creator, co-op member, et cetera, et cetera. It's a move towards dignity. You don't want venture-backed chaos.

2:11:21Dr. Alexander Wissner-Gross:You want stability. You want autonomy. You want meaning. There's lots of other roles behind founders here. You don't become an entrepreneur because I said so. Become anti-fragile in a way that fits your life. So that's the way to frame this. you know you know in the past if you wanted to start a business you need a lawyer an accountant a web developer a marketing team you know a month you know months of capital for a runway you can register a business in six days and you can build a website in an afternoon using ai right you can write a business plan this is about finding something finding a problem and no matter where you are in life your ability to identify problems and opportunities is there if you look And if you don't have those answers, brainstorm it with your friends.

2:12:05Here's some more data.

2:12:06Peter Diamandis:Or if I may, Peter, or your AIs. I think even brainstorming problems is not a limiting factor. AI is quite good at identifying problems. This is one of the reasons I have to just name check a company I have a financial interest in. Henry Intelligent Machines, him from friend of the pod, Alex Finn, is premised on the thesis that not only is the cost of starting a business going towards zero, but everyone can and will be who wants to be an entrepreneur in the same sense that anyone who has opinions or taste as a consumer can become an entrepreneur thanks to AI, where AI operators are carrying out all of the difficult or non-obvious tasks.

2:12:49Peter Diamandis:And you, aspirationally, as a one-person investor, magnate, conglomerate owner, can oversee a fleet of AI operators being entrepreneurs so that you can just be a gentleman or gentlewoman investor or magnate. I do think we are going to find ourselves in that future. Take control of your future. Here's the data. You know, back in 2019, 23.7 % were solopreneurs. That is, climbed steadily to 36.3%. We talked about in the last pod, we're going to start to see companies going from 100 % down to 20 % of their employee base. But at the same time, we're going to see five times as many companies being started.

2:13:29And guess what? If you're not the CEO, if you're not the idea person, you can find an entrepreneurial company, right? A small company and bring your capabilities, your passion, your experience to the table there. Salim, you were going to say?

2:13:46Dave Blundin:I don't even think that there are six million people in America who say their full-time or primary job is social media influencer. I don't even think they count in this. I mean, there's so many jobs like that that are emerging that didn't exist in the world previously that are going to pop up with AI. They kind of defy normal categorization, but they're going to be rampant. Yeah, for sure. I don't know. I count those as entrepreneurs. Maybe listeners don't think of that as an entrepreneur. But to me, it's like, that's an entrepreneur. And this chart, you know, I wanted to dispel the age myth, right?

2:14:21There was a persistent myth that you need to be in your 20s to be an entrepreneur. And the data says otherwise. You know, the mean age of founders, the top 0.1 % fastest growing companies are founders age 45, not 25, 45. And individuals in the age group 55 to 64 represent one of the fastest growing segments of entrepreneurs in the United States. You know, if you're 60 and you're thinking it's too late for me, guess again. Your experience is the product, right? AI is your amplifier. Your ability to, as Alex said, brainstorm an opportunity, brainstorm a challenge, find something that's right for you.

2:15:02You know, I talked about the gentleman I met in Morocco, right, who used ChatGPT to say, this is my abilities. This is what I can do. This is where I live. What kind of a business can I start to, you know, provide food for my family?

2:15:15Dr. Alexander Wissner-Gross:Yeah. Just to reiterate, entrepreneurship is not the point. Agency is the point. Give yourself agency. Yeah, for sure. You know, what do you need to be an entrepreneur? I just want to hit on a few things. You know, you don't need to be the CEO. You don't need to be a fundraiser. You need to be curious about how you can be useful. You need to be willing to create value first. And that's something a lot of people think, well, being an entrepreneur is putting up something and having money come in. No, it's about delivering value first. You see Alex and his projects, Salim and your projects, Dave.

2:15:51It's delivering value to the people that you want to serve, who you want to be a hero to. It's being resourceful, right? All of your experience in life. Can I tell a quick anecdote?

2:16:02Dr. Alexander Wissner-Gross:One of my favorite entrepreneurs in the world is Craig Newmark from Craigslist, right? He starts Craigslist, grows it, and basically stays customer service. His title is customer service. His company's doing, his peak was doing$100 million a month in revenue with 30 employees. And he retains the title customer service person. If you call Craigslist for customer service, he will usually answer the phone. And then he's taken all his money and given it to Veterans Affairs and projects on the future of journalism. So just an incredibly magical way of framing it where you just follow your passion, you do what you think you're best at, and then let the rest take care of itself.

2:16:42That point you just made is so important, right? Having purposeful alignment with whatever you start or whatever, you know, small team that you join. Don't do it to make the money. Find something that gives you true meaning and purpose in life and go and focus on that. So I want to challenge everybody who said, hey, entrepreneurship is not for me. It's not for everybody. OK, agreed. It's not for everybody. But the percentage of individuals, the range of folks who can become entrepreneur has been skyrocketing. And I encourage people to explore this for yourself, especially if you're just out of college, you haven't gotten a job, or if you've been laid off someplace, find a few of your best friends.

2:17:25Because building something, as we've said, Dave, with two or three best friends is the best way to do it.

2:17:31Dave Blundin:Yeah, I think it's even more acute than that. If you move into a world of AGI and then ASI, to thrive you either need to be a founder or a joiner or an investor. Because all other career paths are going to disappear. You can't just join a big company and work your way up over 20 years. That's not going to exist in the world post-AGI, post-ASI. So then what does that leave? It leaves founders, joiners, investors. You know, I love that three categories, Dave. That's great. Yeah. Yeah, just label, decide what you're good at. There's always a way to add value. Just decide which is your natural bent and pursue it and get in the game.

2:18:09All right. The second piece of criticism was on data center water use. Quote, Dave is contradicting what AI says about the use of water in data centers. Dave, you want to take this one on?

2:18:21Dave Blundin:I love that you're blaming AI for the contradiction here. You're like, come on, man, take accountability. I check the eye, too. Yeah, so water use by data centers is less than 0.3 % of total water use. It's way less than 1 % of agriculture. It's microscopic. But the point on here is that the water that is used is used almost entirely by evaporative cooling. So I was like, why is that? Why are we bothering with evaporative cooling at all? So it turns out that the data centers that are in Phoenix and other very hot locations with tons of sunshine, they love using evaporative cooling because it's more efficient than regular mechanical cooling.

2:19:02Dave Blundin:But that's not going to work because those are also the areas where there's the least water. So that's why it creates this problem. But there's no reason we should be using evaporative cooling at all. Just put more solar panels on the roof and use regular mechanical cooling, and then you don't waste any water and everything is solved. This is not a real problem in the world. We can kind of put it aside and move on. Fix it, for sure, but move on. It's not a technical issue. I imagine that the hyperscalers are going to be focusing on this because of all of the criticism. We talked about power, and of course, they'll pay differential rates.

2:19:35They'll provide their own power, but they're going to have to address the water issue.

2:19:41Dave Blundin:Yeah, that's not a big problem. I checked out the energy costs on moving over to mechanical cooling. It's not trivial, but it's about a 20 % increase. in your overall electricity bill. You just have to eat that with more solar panels. Put up more panels. This only matters in very, very hot, very sunny locations in the first place, because that's the only place evaporative cooling works anyway. Just put up some more solar panels, eat the extra cost, and move on. Those areas are also the same place that, quote, whiskey is for drinking, water is for fighting. Those are the same locations where these days, like Abilene, Texas, and Phoenix, the implications where these data centers are going in.

2:20:20Dave Blundin:So you got to put up more solar. The third criticism, and it really is something we need to address. It's ivory tower out of touch criticism. So massive ivory tower mentality. Your silver spoon is showing. Of course, the experts are more optimistic about AI. They're all rich. You know, laughing at the middle and lower income middle people, concerns about anti-AI sentiment. And my electricity bill climbed 14%. Salim, you want to jump in here?

2:20:53Dr. Alexander Wissner-Gross:Yeah, look, everybody on this podcast and everybody on other podcasts take all in. We all started from nothing. I mean, my dad told me, here, take a first year of university. I can pay for it. The rest is up to you. And I was selling beer during beer strikes in Canada trying to make money. So we've all gutted it out at various points. I arrived in Silicon Valley in 2006 with, I was 43, and I had$2 ,000 to my name. I'd wiped myself out doing a startup. So you have to build from scratch. So I think we've all been there in different ways. I've been very, very lucky. And I think the skill that you need to work on the most is your luck to be successful in this stuff.

2:21:41Dr. Alexander Wissner-Gross:But the huge opportunity here is you can do a huge amount today with very, very little capital. And I think that is the magical story around this. Why we're so excited about entrepreneurship is the fact that you don't need to raise billions of dollars or millions of dollars. You can literally go get an account for 20 bucks and start changing things. And that's incredible, the opportunity there. So that's where we get so excited around this. Yeah, I mean, we are heading towards abundance. We talk about this. It is not coming next quarter. It's coming over the next five to 10 years. We've seen this, right?

2:22:21And the book I just published, We Are His Gods, there's 100 pages of charts in the back of the book that show the story that, you know, for most of human existence, it was the king and the queen, the pharaoh, the emperor on the hilltop, and everyone else living in abject squalor. And we've had the most extraordinary movement of people into middle class, upper middle class. And today, individuals alive have access to more than the kings and queens had a century ago. The poorest people on the planet have a smartphone, have access to lighting a roof over their head. It's become extraordinary in that regard.

2:23:02And it's continuing.

2:23:04Dr. Alexander Wissner-Gross:Can I give a tangible example here? Okay, so let me give you a very specific example that you can just latch onto. There's a fishing village in the middle of nowhere in Vietnam where once a month a big ship used to deliver diesel fuel for these fishing boats. At some point, the ship stops coming and these people have no fuel to power their fishing boats. So one of them literally buys a solar panel over the internet. They look up on the internet how to connect it to the propeller and they invent a solar-powered fishing boat, right? So this is cutting-edge innovation using disruptive technology happening at the edge of the world.

2:23:38Dr. Alexander Wissner-Gross:We on this podcast and other people like us get incredibly excited when we see that because here are people at the edge of the world using the most advanced technology and their mindset and their agency to totally change their own world. And that's what's possible today that was not possible a few years ago. And then AI amplifies that a thousand times. That is now possible everywhere in the world. I used to call this PDI, Permissionless Disruptive Innovation. In the past, to do something disrupted, you had to get the Medici family to back you. You had to get the government to approve you. You had to get a VC or investor to fund you.

2:24:12Dr. Alexander Wissner-Gross:And now you can basically get together with a right mindset, do something crazy at near zero cost. How can that not be exciting to people? Our mission is to inspire you, right, to give you the inspiration to dream bigger. Yeah, I mean, at the end of the day, life can be difficult. And I've suffered a lot of massive setbacks, you know, back to zero. I mean, Peter, 11 years trying to get approval for zero G from the FDA. You want to talk about hacking it out, right? This is the persistence that has, I mean, most of us and most successful people, you ask them what made them successful. It was their persistence.

2:24:51Dr. Alexander Wissner-Gross:They just never stopped. And so anyway, I'll be on for a couple. You get persistence when you found your purpose, your MTP, right? Every time I've tried to do anything just to make money, it's failed miserably. Because doing anything big and bold in the world is hard work. And you need to find that purpose that you'll dream about in the morning, keep it going through the night. So, you know, if anything we say on this pod comes across inappropriately as having ivory tower mentality, apologies. That's not our purpose here. Our purpose is here to - keep calling us out. Yeah. I mean, you know, trust in us comes from our ability to respond to your critique and your criticism.

2:25:34We do read your comments. Please keep them coming. Our desire is to serve you in a number of different ways, keep you informed of what's going on in the world, you know, give you an optimistic point of view and inspire you to go bigger and bolder in anything and everything you do. And if you find yourself in a place where you're not enjoying life, where you're not able to thrive, you know, you've got to have the guts and the fortitude to find someplace better around people. You know, you heard this from Dave in the last podcast, you know, you have the average of the five people you spend the most time with.

2:26:07So find incredibly good people, you know, entrepreneurial people, people that want to make the world a better place and go hang out with them. And the reality is you're facing challenges and difficulties that probably Salim, Dave, Alex and I never faced when we were entrepreneurs getting going. And we hear you there, right? And our job is going to be to put ourselves in your shoes as we're covering these stories, as we're talking about what's possible, to really provide a perspective that hopefully is useful to you. Dave, you want to add a final point here?

2:26:39Dave Blundin:Well, I think I really feel for bullet two and bullet three on this in the sense that, you know, when I was trying to get my first startup up and running, I was below the poverty line for eight or nine years and the muffler fell out the bottom of my car and I had to duct tape it back. And I'm like, how am I actually going to survive this? But I could always fall back on an entry level job at like a JP Morgan or something like that. So I wasn't really panicking. Now it's different. Like it's, it's kind of do or die. You know, it's really, it is a different time because no one's hiring, you know, and, and we're saying be an entrepreneur, which, because that's the right path forward.

2:27:15Dave Blundin:But the safety net is much scarier now than it was back then. Correct point. Because, yeah, no one's hiring. And I feel for that. So, you know, the bullet, too, says, of course, the experts are more optimistic. They're all rich. But it's because we know we're moving into this era of unprecedented abundance and asset values are going to go way, way up. So the point is right. Then the last point really tears my heart out. Laughing at the middle and lower income people's concerns only adds fuel to anti-AI sentiment. AI is going to actually create more wealth and more success than anything in history.

2:27:47Dave Blundin:And anti-AI sentiment is the worst thing we could ever propagate. I don't remember us laughing at lower and middle income problems. In fact, I feel it acutely every day with the 1 ,100 people that I have to think about. So if we ever laughed at lower and middle income problems, that was just an error on our part. I don't recall doing that, but that should absolutely never happen. Because it is going to be a massively turbulent time. Now, I'm much more concerned or I'm much more confident today than I was two weeks ago about Dario and Sam, especially after Sam's house got firebombed. If they just turn 10 % of their AI into this problem, I know by 2030 we'll be beyond it.

2:28:36Dave Blundin:I'm only worried about the window between now and 2030 when people who've worked in a 15, 20, 25-year career path as a paralegal or as some kind of a white-collar professional, that entire career is about to be replaced by AI. And so you've worked way down this path. That's devastating. But if you're nimble, you can actually get ahead of it. And I know that's very vague advice. But if you're nimble, you can get on this wave and not get crushed by it. But I think if the big AI companies put just 10 % of their effort into trying to deliberately give a roadmap, right now, start with the software engineers.

2:29:14Dave Blundin:You just rolled out capabilities that will kill Canva, Figma. Put a roadmap in front of those software engineers that's designed and deliberate through some kind of an independent software partnership program so they know where to go next. that will solve a huge part of that swath and then move on to legal, move on to the other professional services and be deliberate about smoothing the pathway between 2027 and 2030 to try to actually create forward trajectories for everybody. I think it'll actually work. I feel like there's so much abundance coming that that overhead will be a rounding error and we can actually make this smooth for everybody.

2:29:52Dave Blundin:You just need to design it. It's not going to happen by mistake. The three of us are on the XPRIZE board. We're focused right now on launching the Abundance X Prize, which remind people, if you haven't heard me speak about it before, it's can a, you know, the prize would be for a company or a team that's able to deliver housing, food, water, electricity, and bandwidth to a family of four for 250 bucks a month, right? So if you've got those basics, it's universal basic services, you have those basics covered, you're then able to think about how do I upskill myself? How do I, you know, plan an entrepreneurial journey.

2:30:30But if you're worried about, can I turn the lights on? Do I have a roof over my head? Can I feed my kids? Then nothing else matters. And so very true. All right, gentlemen. It's a tough place to close it out, but it's an important one. The world is changing. Yes, please.

2:30:48Dr. Alexander Wissner-Gross:May 7th, 7 p.m. Eastern. I'm doing one of my Meaning of Life sessions online. Okay. Where do people go to find out about that? Go to OpenEXO.com and you'll see it somewhere. Amazing. And on May the 4th, we're going to be recording a Moonshots podcast at MIT. We're doing our We Are As Gods session with Ray Kurzweil on May 4th. All right. And our outro music today is coming from Tomas. It's Solve Everything. Gentlemen, enjoy the outro music. This one's from Tomas.

2:31:27Life, fear in the streets, but the future won't sleep The world moves fast while the old clocks keep Oh, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh Opus rises and the dials fade away

2:31:41Dr. Alexander Wissner-Gross:Prompts are the levers of a brand new day Reports come late while the models run ahead Some feel the fire, some only feel dread Young hands searching for a road to begin Old doors closing, new worlds opening Move with the signal, don't freeze in the north The future is calling for builders with joy. Cities push back as the data towers climb. So we send the compute to the edge of the sky. Satellites burning, new networks unfold. Apple, Amazon, Starlink chasing gold. AI runs stores, AI reshapes teams. One person empires waking from dreams. Medicine, memory, bodies and stars. The next human fork is already on.

2:32:23Dr. Alexander Wissner-Gross:All right. Awesome. I love the chiseled jaw, all these outro music.

2:32:28Dave Blundin:You know, it's borderline fake news, actually. We look way too good in that. All right, gentlemen. All right, folks. Love you. See you next time. See you guys soon. If you made it to the end of this episode, which you obviously did, I consider you a moonshot mate. Every week, my moonshot mates and I spend a lot of energy and time to really deliver you the news that matters. If you're a subscriber, thank you. If you're not a subscriber yet, please consider subscribing so you get the news as it comes out. I also want to invite you to join me on my weekly newsletter called MetaTrends. I have a research team.

2:33:00You may not know this, but we spend the entire week looking at the MetaTrends that are impacting your family, your company, your industry, your nation. And I put this into a two-minute read every week. If you'd like to get access to the MetaTrends newsletter every week, go to diamandis.com slash MetaTrends. That's diamandis.com slash MetaTrends. Thank you again for joining us today. It's a blast for us to put this together every week.