AI Is Making More Millionaires Than Anything in History w/ Salim Ismail & Dave Blundin | EP #181

28:02I have some comments here on this. This is classic corporate innovators dilemma, right? You cannot do disruptive innovation in any big company from now on. It's not an accident that Microsoft essentially invested in OpenAI or Amazon, put money into a cloud or whatever. You cannot build that capability. The mindset is two different between Apple being a consumer products company largely and the mindset needed and being under 25 to even start and kind of a foundational model company. You have to partner and invest and do this. I'm surprised that it's taken Apple this long because they all are manufacturing with a partner in Foxconn.

28:43Well, why aren't they building a core capability like this on the edge? And it's a reminder that you go ahead, Dick. Well, yeah, I'm sorry, I mean, the cash off some. So just a reminder though, so today, Nvidia is worth more than Apple like this exact day in world history. Apple never in a million years could have predicted that five years ago. In fact, Apple treated Nvidia like dirt. But Apple has the chip manufacturing. They have about a third of TSMC's manufacturing capacity. They were in a far better position to become Nvidia than Nvidia was. But had no recognition of the opportunity whatsoever.

29:18So here's the problem. Here's the problem in Selim, Univ. I've discussed this. It's about founder -led companies. So Jensen as the CEO and founder of Nvidia is driving it. and when he says, right, everybody goes right. The same thing with Dario and Anthropic, you know, the same thing with Sam and OpenAI, but Apple has lost Steve Jobs, right? Steve would have been all over this and he would have set up the team that would have just basically driven it. And it's innovator's dilemma, but during this period of exponential growth, you need a dictatorial, passion driven founder who has the complete faith of his board and his or her board and their management team.

30:09I mean, Slim, do you agree with that? I somewhat disagree. Okay. I think yes, if you're in that industry, like for example, if you're Facebook and you need Facebook to do something different in your mark and you're Zuckerberg, you can kind of get that done and it's important to get that done. But the control systems, remember the big companies are optimized for two things, right? efficiency and predictability. This comes from John Hacle and John C. Lee Brown work. And so you're trying to deliver the iPods at the same air pods at the same quality into a million retail locations for purchase by everybody and their grandmother.

30:44Your entire focus is on that. You cannot do disruptive things when you've got that machine trying to deliver gross margins on a critical basis. But you could do what Steve Jobs did, right? He He took his Mac team and he moved it off on the edge. You have to do that edge innovation in a stealth way. Google is doing it with X, right? Google X. This is what we try to do with Brickhouse, a Yahoo. You have to do that type of model. And then the second level of thing is when it starts to succeed, don't bring it back in, because it won't fit. If it's really disruptive, it's not going to fit in the mothership.

31:20You have to spin it off. Now lately, companies have kind of tried to learn how to do it. with AWS in one sense. Absolutely. There's a Y Google split up into Alphabet spinning off Waymo and whatever. So this is the only model that works. I looked at me and my ecosystem. We've looked at disruptive innovation across probably 200 of the Fortune 500 companies in detail. And this is the only modality that ever, ever, ever, ever, ever works. It's the only one. And so you have to do that. Well, you acquire that disruption and you leave it on the edge of the way Microsoft has done with OpenAI or Zuckerberg with what's happening?

32:01You will kill it if you work it. Inside the coronation, it won't work now. And let me give you a negative side. Walmart realized somewhere in the mid -2000s that it had to compete with Amazon, that this e -commerce thing was not a fad. So they set up a team inside Betenville and they set up that team. Alright, we have the best distribution logistics in the work. Go be the Amazon. With the end 18 months, the immune system had killed it. Could all the existing managers said, we have our own capability. We should be optimizing for own stores. Look at that PE ratio. It's never going to succeed. They did it a second time.

32:32Second time, we'll put the team at the edge. And they said, all right, go to the edge away from the core and do the same thing. But still, you are existing systems. We have the best in the world. Within 18 months, the business had figured it out and killed it. And then the third time, the third time, they made an amazingly courageous decision. They said, go to the edge and build your own independent supply chain distribution, et cetera, even though we have the best in the world, we have to figure this out. Started to succeed, the business got excited, pulled it back in and killed it. And it was on iteration number four that they finally did it separately on the edge, and only after it achieved critical mass, that they start stitching the back ends together.

33:07But in that intervening six or eight years, Amazon was gone. You know, interesting story. And ladies and gentlemen, this is why Selimus male is incredibly brilliant and why I love him so dearly. It's just that we've seen so much of this across so many, we have so many data points over 10, 15 years of looking at this and looking at big companies in great detail. It just doesn't work any other way than for looking for the disruptive technologies, buying them, or investing them, and leaving them on the edge. Right. Dave, you're insane. Oh, well, I just happened to be in Bentville, Arkansas. I saw, you know, they were my biggest customer at the time, Walmart, as this was going on.

33:47So just one little interesting nugget on your story there, Selaine, when Jeff Bezos needed to recruit Rick D 'Alzel, he needed one brilliant retail industry guy to come out to Seattle and make Amazon like organized and structured and then retailing because everyone he had was kind of a computer science PhD type. And so he needed Rick D 'Alzel, but he actually took Sam Walton's book and there was a sentence in it where Sam predicted that a disruptive innovator will eventually come along and gut Walmart. And so he circled that sentence and took it to Rick's house because you know the wargang is super tight.

34:22They're like a family and trying to break up a member of the family is almost impossible and Rick needed to talk to his wife about this like a big change moving from Bentonville out to Seattle. But the book is what put it over the top. He circled Sam's own words predicting the disruptive innovator will come for us and we won't be able to defend ourselves. And can I flip to the other side for a second? In 1990, when I was starting out in my career, I was building software systems, and I went to Bentonville, and we were trying to sell Walmart something. We passed the Emmy -Send, all these crazy NDAs to go into the data center.

34:56And I was like, why would you have me send NDAs to go through a data center? It was just, there's nothing there but racks of service. We walked past a particular room, which has like flashing lights and dials and blinking things that I've never seen it. And I said, what the hell is that room? And they said, oh, that's why the NDA, that's our satellite control center. Yeah. And they had their own geo stationary satellite because Ben will happen to be the geographic center of the US, the continental US. And they were doing everybody else was doing batch updates to their AS 400s at the end of the day.

35:26And the buyers didn't know what to buy for the stores till months afterwards, whereas these guys had real time inventory, management, credit card reconciliation, distribution, logistics, all that stuff figured out. And that was delivering them 15 % better margins, which in the retail industry is insane. And that's why the white, the floor of the Amazon, when you can successfully integrate disruptive technologies as a big company, you have a street, a streets out of the competition. And they should. That's what we call a moonshot, right? Exponential tech with a crazy idea and a high revenue. I would love to meet the executive of Walmart.

36:03If anybody is just saying in the notes, I'd love to interview whoever the executive was. that got the board to do this. That's like, that's hardcore. All right, we're gonna move on here. So let's take a look. This is the state of the union on large scale AI models. We're seeing GROC3 and GPT 4 .5 at the top of this in 2025. You know, I looked up where XAI is right now. So the XAI cluster has 340 ,000 Nvidia GPUs today, 150 ,000 H100s, 50 ,000 H200s, 30 ,000 GB, 200s of the Blackwell architecture. Their goal, what Elon has announced, is a million GPUs by December 31st. So I mean, he is scaling, I think, faster than anybody.

37:00I mean, it's pretty extraordinary. Any comments on this tape before I move on? Well, I mean, the scale on the left side is somebody out there listening should give some terminology to this so we can stay on the same page, like, you know, calling it 1E26 or 1E27 training. So, like a peda flop is a huge amount of compute. That's 1E15. So that's way off the bottom of the chart here. So that goes X of flop and then Z of flop, which would be M1E21. So you're getting near the chart. nobody has terminology for scales of this size, but we do need to talk about it in other than exponential. So that's my challenge for the audience.

37:36Like somebody named these scales. 1e26 is officially a shitload of computers. It's really hard to imagine. Peter, you took a tour right of the XAI data side out. It's crazy. I'm an investor in XAI full disclosure. Yeah. I mean, it's insane. It's, you know, writers of the Lost Ark where there's this rose and it goes to infinity, like this rose of boxes. It's like that. It just. Well, one of the key points that we need to talk about on the back end of this is how do you power this? Right? We're talking about every week that the limits are not the GPUs. The limits are our electrical available power systems.

38:16So this is an article that came out Elon Musk purchases overseas power plant to support massive XAI data center. So, XAI acquired a fully built overseas gas turbine power plant expected to house nearly a million GPUs and be powered by that power plant. So it's an conventional approach to basically get power as quickly as possible. I remember in about a year and a half ago, when XAI announced its Colossus system and I was listening into an investor zoom with Elon. He said, this was in May before they built it. And he said, okay, we're going to build it by the end of the summer, within three months.

39:00And people thought it would take five years to build what he wanted to do in a grade 100 ,000, H -100s. And he said to do this, we have to corner the US market on helium. Just the level of thinking of doing whatever it takes. And here's an example of that. Yeah, yeah, pretty awesome. Calibrate. Yeah, that. I mean, the podcast with Eric Schmidt that should be out in about a week. I hope I hope. Yeah. But we talk a lot about energy supply. He's very knowledgeable in this whole area of energy supply. And here we're talking about two gigawatts. I mean, this is a big, big bold move. But remember, we need a hundred gigawatts by 2029.

39:40So there's a lot more. So you would have to do this 50 times over just in this. That just gets you the turbines, right? doesn't get you the actual power supply. This is all going to be also fuel. I think the important point here is it's disruptive thinking it's unconventional. It's no, we're not going to go through the permitting process. No, we're not going to order. We're just going to buy the shit and move it over here and use it. And it's classical principle thinking. Yeah, just to calibrate for the folks listening, one gigawatt is about what a major city in the US uses. So this is like two dollars for it.

40:12Well, it's a calibrate. The new Elon Musk could become Chase Lockneller. He's the other guy thinking this way. He's doing, you know, Abilene, Texas, Stargate, you know, $500 billion build out. He thought the same way, like, where am I going to go to build this? Okay, there's actual natural gas flare off. That's not even being used. And power generation that's so abundant that it's not even being used in this one location in the country. So I'm just going to, he was in Denver. I'm going to pick up my ass. Pick up my ass and move to Avaline to Texas, and that's where we're gonna do it. Because I want to win this.

40:44This is exponential thinking, this is entrepreneurial thinking. This is when I know we're gonna get to ASI, digital superintelligence, when you say to your AI, where can I get the power I need? And it says, well, I found this power plant over in Europe. It costs this much, let's buy it and move it here. When it makes those kind of suggestions, then I'm impressed. All right, you mentioned this day. want you to lead us off on this one? Yeah. So, you know, we took a bet around the office many years ago, maybe, I don't know. What company would be the first to hit a trillion dollar market cap in the history of the world as it could be Google, Apple, Facebook, or Microsoft?

41:24Because those are the only candidates who else could possibly get there. At the time, in video, wouldn't even have been like, you wouldn't even vaguely consider it an outside possibility. And what Selina is saying all the time, it's always the outsider, up -and -comer, founder -led visionary that blinds sides you and is now the most valuable company in the world. You could argue whether it's overvalued or undervalued, but the demand for compute for AI is going to be 10 ,000 times higher than the supply for the foreseeable future. There's a coming wave of technological convergence as AI, robots, and other exponential tech transform every company and industry.

42:06And in its wake, no job or career will be left untouched. The people who are going to win in the coming era won't be the strongest, it won't even be the smartest, it'll be the people who are fastest to spot trends and to adapt. A few weeks ago, I took everything I teach to executive teams about navigating disruption, spotting exponential trends, a decade out, and put them into a course designed for one purpose. To future -proof your life, your career and your company, against this coming surge of AI, by humanoid and exponential tech. I'm giving the first lesson out for free. You can access this first lesson and more at dmandis .com slash future proof.

42:44That's dmandis .com slash future proof. The link is below. I'm gonna read the article headline, Nvidia sets new milestone with a $3 .92 trillion market cap, topping Apple's $3 .915 trillion market cap. So, I mean, I looked at Nvidia a year ago and six months ago and my answer was how much higher could it go? Well, here's the answer. So here's the question, right? There is a bet to be made right now if you're an investor on where you're going to invest to ride this curve because it's not slowing down. Are you going to on the chip side? Are you going to invest in the power generation side? Are you going to invest in the, you know, I have a friend of mine who has identified geothermal energy as the, as a key source of energy.

43:42And so he's going to start drilling over a geothermal bed, you know, bedrock hard zone and put in a large plant over there. So is it real estate? Is it data centers? Is it chips? Is it power? Because all of these things are going to make somebody, hopefully somebody listening right now, huge amounts of wealth. This is unstoppable, metatrend, period. Just to clarify one thing on this slide too, because it's even more profound than that seemed. NVIDIA just beat Apple's all -time high, which was Christmas Eve this past six months ago. It's actually significantly higher than Apple today. Apple's down to 3 .2 trillion trillion while in, well, in videos of 3 .92.

44:28So it's a significant gap that's opened up. And yeah, I don't think anyone would have seen it coming. Sam Oldman is always saying that a lot of people think about this as victims. Like, oh, this goes up, that goes down. It's really not true. Like everybody participating in this build out is going up. And there are some companies that are getting crushed along the way, but they're kind of rounding as compared to the number of things that are going up. So David and Tom, why would you invest? I want to hear, where would you invest right now? Because people are asking, you know, our super fans here asking that question, where do I put my money?

45:06I would do a basket of these to get the general trend and get the general transformative trend. And then I would pick certain verticals where I can make a massive difference and then invest in the companies going after those. What's in your bucket?

45:24Hell knows I'm trying to put everything in the Bitcoin so it's hard to think Yeah, I'm famous for kind of a lot of people ask me oh my god you've been tracking Tesla forever You may must have made a fortune and the answer is no because every quarter for a long long time It looked like Elon was gonna run out of money, right? I've not the chance as you mentioned Peter do invest in X AI at a crazy valuation and I said no and it's 10x from that. I'm like, yeah, it's a very hard game to play, and you have to really set aside a lot of assumptions to do it. And in general, I think you just buy these top hyperscalers and just sit on it.

46:03And this is not investment advice, by the way. I should say that Dave, what's in your bucket? For me, it's an Obraner because we have access to some incredible investments that most people can access. But in the software layer, which is not nearly as capital intensive, there are 10 and 100 X performance improvements. So when you're looking at Elon buying a million chips, a million and a half chips, it's a $30, 40 billion risk. If you accelerate the algorithm running on those chips by 10X, you just saved an enormous amount of money. And so it's not as capital intensive. The innovations are right in front of us.

46:37Blitzie down the hall for me here is innovating, writing three to 10 million lines of code a night. So you can implement these ideas in like a week. So that is where you get the highest very quick returns. And so if you have access, that's the sweet spot. Now when you go to the conferences, like when we go to Riyadh together, we go to, you know, on these big, you don't hear about that as much because it's not as capital intensive. And they're all putting much larger amounts of money into physical real estate, generators, power supplies, chip buys, spaceships. that's where all the money goes because they're very capital intensive, so it tends to dominate the agenda, but the returns are far, far better in the software layer.

47:19Yeah. Well, just to round off a comment on this slide, I was talking to an executive in Intel who was saying, oh my god, look at that PU ratio that's insane for Nvidia, etc. And my comment was, I'd rather be them than you. Because that's brutal too. It was just the reality of it. I mean, it's the the the the morning and winging from the income, the former income, it's as incredible. All right. I, I, my core partners with six of the magnificent seven and all top five AI labs, super proud. Dave, this is one of your key investments at link XPV. We had Brendan Fudy with us at the abundant summit last year.

48:02Tell us about, about my core. So, you know, Brendan is just an awesome guy and talk about getting lucky again. Scale AI got acquired last week. What, $29 billion by Meta, all the customers of scale are like, well, now I can't work with scale anymore. It's part of Meta, all the other, you know, competing big AI labs. So now, Brendan's got all of them, except for one, actually, guess which one he doesn't have? He has six of the seven meta. You'd think, you know, actually, that was his anchor customer. So he still technically has it. That would, that would, I guess, acts. Yeah. That's exactly right.

48:42It's Elon Musk doing it all himself. Elon doesn't like partnering with people he likes to build vertically internally. So I think you're Aussie, just so folks can know how awesome you are. What stage should you guys invest in in Brendan? How old was he been? And what, and what's the valuation now? Because I mean, this is the story that people need to realize. You know, it used to be the peak age for building a unicorn was in sort of early to mid 30s. And it's dropped a decade. It's now like the peak age for creating a unicorn is like 20 to 23. So tell us a story there, Dave. Yeah, yeah. So we were the first money in Brendan.

49:20He was actually, he and two of his best friends from high school started the company together. Two of them went to Georgetown. down the third friend went to Harvard. That made them eligible for prod, which is this really, really cool student run student -founded joint venture club between MIT Harvard and Stanford. So they did prod, which is where they developed the idea for more core together. And then we found them at prod, because we know the founders of prod. We know all the little clubs and things around Boston here. And that's where we met them. And then, yeah, first money in. And then what was the valuation at that point just He was like 30 million plus or minus.

49:59So very, very. Their latest valuation. They got to revenue very quickly, by the way. latest valuation. So they closed a $2 billion value round two months ago. Heard rumors this week that they're looking at an 8 billion or so preemptive term sheet, which they may or may not choose. It's 8 or 10, no one knows quite sure. So that's a like a 5x step up in two months. But Brent, I'm going to answer your age question. And I think it was 18, 19 when we first met him. When you had him on stage in LA, remember he told that story. He had just raised a $300 million value funding. And he's wanted to meet him at a bar.

50:36And he said, well, I can't meet you at a bar. And they said, by the way, you don't drink. I said, well, I'm a little old. I haven't turned to him yet. So he's such an inspiration for everyone around our ecosystem now. And everybody knows his name. Yeah, it's just it's just so cool to watch. I mean just again for for our fans listening here. I mean this story is that we're gonna see such an explosion of entrepreneurship at the younger ages. Why I think for a few reasons number one, they're unconstrained thinking. They have nothing to lose. Nothing to lose. Number two, they've got the tools with vibe coding and with access to these or language models to iterate and rapidly build stuff and throw it against the wall.

51:26Any other reasons why that's happening? Well, for me, there's the top two. So many of the people that we run into are worried about losing their job, losing their career, losing their whatever. Rather than jumping in, the huge opportunity that opened up. Because you get invested in your career, you get invested in your job, you get invested in learning. But if you unconstrained yourself from all that baggage and just think from a clean sheet of paper. You know, when you're 18, 19 years old, you have the benefit of, you don't have a job, so there's nothing to worry about. But everybody could do that, right?

51:59You're not actually constrained. You just feel like you are. It's the analogy I use is like a two -year -old scheme, right? They have no fear because they only have this far to fall. When you've got older, you've got taller, you've got a lot of further fall. You're gonna break the leg or something, and you don't have that far to fall. and it's the same time of mentality. I remember me meeting this young kid who was the founder of Arbitrum, which is one of the layer two blockchains, right? And he was, I asked him, well, why do you think you'd succeed? Why not build your own L1 rather than, and why would you go with Ethereum as a layer one as opposed to one of the others, et cetera, et cetera?

52:34And he says to be, well, according to your exponential organization's book, a new innovation has to be 10x better than a marketplace, right? And therefore we figured these other ones are two X better than Ethereum, but they're not 10 X better So my and the ecosystem of developers in there. So we decided to layer on Ethereum and I was like wait Is this kid quoting my own book back at me? I like saw I'm so impressed with this younger generation of founders where they got this all I think a third reason is they're digitally native in a way that yes That's a great point. It's just not right. They live in breathe this.

53:08They live in breathe this stuff So it's really a key part of this whole thing. Well, also, you know, a lot of the really successful new companies, they have very specific recruiting domains where they're pulling their best friends in or their people they know. And when you happen to be that age, all of your best friends are also not doing anything. So it's a lot harder for your older to go to, like if you think of the 10 people you would most want to work with and you get really excited about it, nine of those 10 are going to be unavailable today because of some bonus cycle or whatever. case in point.

53:40Yeah, he says our own business podcasts. This podcast right now, right? I mean, it's like when I reached out to you Dave and Salim and said, let's do this weekly WTF episode together. You both said yes, and it's been a blast. I mean, I look forward to this every single week to have this conversation. Yeah, but let's note the scheduling these things is like Haley's comic coming around, right? It's like a nightmare between our schedules for sure, but we're committing to it. Four points. We'll talk about it some other podcast, but he has a really good set of core points that was in our little newsfeed here.

54:14One of them though is you have a lot of things in your life that you can cut. If you're honest with yourself and you look at them, to make space for what's going on right here, you're going to have to cut something else. Look objectively at your life and think, okay, something's gone. I cut sleep. No, unfortunately, at least this morning I did the prep for this podcast. All right, the talent war remains on. So, you know, just want to lay this out because it's ongoing. And when we think about sort of what are the constraints on this Gen AI revolution, we talk about chips as a constraint, we talk about powers of constraint.

54:54it's talent. Talent right now is the constraint, right? So Meta offers huge hundred million dollar comp packages Zuckerberg himself is going out and finding people and bringing them in. Open AI is giving 10 to 20 million dollar equity on top of Google and the topic hires. I love this. Open AI spent 4 .4 billion in stock based compensation. It's more than their compute is costing them. They're spending on talent. I want to quote a few things here just to forget to get a sense. If you believe that access to AI is in fact the single differentiator that's going to, or to the next levels of AI, AGI, ASI, whatever, it's going to differentiate all of these hyperscalers, then it's the single most important thing they can do.

55:53So Meta is at $1 .35 trillion, they have $58 billion of cash on hand, and they're going to spend that. Google is at $2 .2 trillion, they have $101 billion of cash on hand. Open AI is at $300 billion, the estimate is they've got about $20 billion of cash on hand. And Microsoft's at 3 .2 with 78 billion cash on hand and Thropick is at 61 billion with about 3 to 5 billion of cash on hand. So I just want to make the point that there's a lot of cash on the balance sheets of these companies. And this is an existential risk if they don't acquire the best talent today. So they're going to play full out.

56:33This has been a complaint on Apple because they've got unbelievable amounts on their balance sheet. They have cash and they're just not using it. And it's a huge problem. By the way, can I point out something on this slide? Yeah, sure. Look at how much meta has spent on AI on that third bullet point, which says aggressive spending of the impacted margin. And from 28 to 23%. I'm like, boo, boo, boo, boo. I mean, any company would kill to spend that much money, and then your margins are impacted by 5%. You're kidding me? Yeah. Yeah. Well, point being, there's a lot more room to go. And as things heat up, they probably will.

57:09Do you remember a few years ago, they were all talking about doing dividends. They couldn't think of what to do with their money so much of it. Hey, why don't we just do a dividend like a bloated old bank or car manufacturer? Wow. It's just such a different world today from just four years ago. But I want people to here expect that there's going to be outlandish spending to get the talent and then once they've got what they can get, spending on energy and then spending on building. We've mentioned before that this year is about a billion dollars a day being put into the AI arena and we expect by 2030 it will triple to a trillion dollars a year.

57:57Anyway, it's insane. We've also seen this in Saudi and the Emirates and so forth. I don't know what happened with Mark Zuckerberg, but he woke up one morning and said, you know what, we're going to win this race. And so he is built an incredible dream team in no time. But the top offer it turned out was a billion. Remember, we were talking a week ago, at $100 million, $100 million offers. And since then, we discovered that no, that was actually, there were several of those for sure, but then there was a $1 billion offer that got turned down. And that's just that's a person who also has a team that would have come over but that person, you know, is yeah, it's it's like I think the key thing there is they turned it down.

58:40Well, this is when Palmer lucky is this a little and it's a little and it's turned down a billion dollars. He turned down a billion dollars the first offer that that Zuckerberg made for his his VR. There's a really important point to be made here, right? If you're going to be building one of these companies, you have an MTP, you have a massive transformative purpose and you're really keen on that. And you're driven by the passion and the emotion. Peter, you talk about the emotional engagement that that brings it to people. I remember Yan Kuhn when they went Mark, when Zuckerberg and tried to buy WhatsApp.

59:13The actual valuation was about one and a half billion. And so they've made, they started having a discussion and very quickly, Apple and Google and others came to the table so the valuation kept going up and he kept just kept saying no because if I get acquired my MTP gets threatened which was simple communications globally and I don't want to worry. Only after like at 18 billion is the rest of a shareholder said come on and then after extracting a promise that Zuck would not touch the company or obtained anything for five years did he go okay fine right and that's I think that's what's amazing about MTPs and the founder mentality that's really good.

59:48Yeah, same situation that Palmer Lucky talked about on stage at the abundance of it last year, right? He said no to a billion. He finally accepted 2 .2 billion, but only after Zuckerberg agreed to spend like a billion a year on the whole metaverse activity. And he ended up spending like 50 billion instead. I would love the framing he put on that saying, if I wanted to, if I'm excited about the domain and I want trying to get 10 billion of investment and do it, it would take me forever. because I have to go raise that money. And so therefore, but doing it this way, I got the Facebook to invest their method to put that money in.

1:00:22And the whole place exploded, which is amazing. Yeah. Quick story for you on why these numbers are so big. And this is, this is hearsay, but I'm pretty sure it's accurate. You know how, you know, open, if you're an open AI user, nobody uses GPT 4 .5, which was supposed to be a big deal. We're still on 4 .0 or 03, which is using 4 .0 or 4 .1 under the covers. But what happened to 4 .5? It was a multi -hundred million dollar training run. Turns out there was a bug. Probably a single code in PyTorch. And the thing was just grinding, using up compute. And they thought that it was making forward progress, but it wasn't for a long time.

1:01:00Probably not. And yeah, towards the whole training run. And that's why GPT 4 .5 has been a disappointment. So then you're like, okay, why would I spend a billion dollars or a hundred million on a single person, although it gives the right person, the next training runs are going to be much bigger than the last ones. And there's a lot of room to optimize and improve and avoid bugs in that problem. So these are really rare, super valuable human beings at this point in time. Amazing. I don't get it. How long? I can't you just say to the AI itself, go find the bugs in your code. Well, I mean, that's that's certainly going to be the truth within their year.

1:01:38Yeah, the rate of let'sy is moving within a year for sure. A quick aside, you probably heard me speaking about fountain life before. And you're probably wishing, Peter, would you please stop talking about fountain life? And the answer is no, I wouldn't, because genuinely we're living through a healthcare crisis. You may not know this, but 70 % of heart attacks have no precinct, no pain, no shortness and breath. And half of those people with a heart attack never wake up. You don't feel cancer until stage three or stage four, until it's too late. But we have all the technology required to detect and prevent these diseases early at scale.

1:02:12That's why a group of us, including Tony Robbins, Bill Cap and Bob Hooray, founded Fountain Life, a one -stop center to help people understand what's going on inside their bodies before it's too late and to gain access to the therapeutics to give them decades of extra health span. Learn more about what's going on inside your body from Fountain Life. Go to FountainLife .com slash Peter. And tell him Peter sent you. Okay, back to the episode. All right, we mentioned last week that Dan Daniel Gross, who was the CEO of Ilya Suchkeber's company, Safe Super Intelligence, had been poached by meta. And now Ilya has jumped into the seat of CEO.

1:02:52So, since that Zach has up the number of researchers poached to 11 coming from the busiest and earliest AI native firms, open AI and thropic deep mind. And this is part of a major reorganization that puts Alexander Wang and Nat Friedman, two of the highest profile hires of the past few weeks at the head of a new group at Metacalled Superintelligence Labs. But what may be the most critical part of this memo? Zuckerberg writing that, quote, as the pace of AI progress accelerates, superintelligence is coming into sight. A source confirms Wires reporting that open AI's chief research officer described it as a quote, someone has broken into our home and stolen something.

1:03:32He vowed to be active, creative, recalibate, comp to recognize and reward top talent. Like, Kelly Zuckerberg reaching super intelligence before Altman does, that would be like taking over the whole house itself. Yeah. So, I'm not over. And you can't quite tell from the way she does. That's correct. So, the interesting point on that CNBC clip is the notion that the conversation has slowly slipped from AGI to superintelligence over and over again. I'm super happy for that because the theme of the abundance, the abundance summit in March of 26 is digital superintelligence and the rise of humanoid robots.

1:04:16So got that one right. But the question is, what in the world is superintelligence, right? This definitional problem. That's the lead -to -leam soapbox, right? Like what the hell are you talking about here? Can Anybody come up with a clear definition of this? Well, the closest one. I can invitation to the viewers. If anybody sees a good definition of ASI or AGF or anything, please help us out here because nobody has one. The one that I've heard that I just put out, so I put out a newsletter every week, twice a week. And I just put one out on superintelligence. And the definition is an AI system that is smarter than any human and anything.

1:05:01So we'll see if that stands. I mean, it blurs with AGI, but sure, would love a better definition. Dave, do you have one? Well, no. And it doesn't matter. Oh, we're totally, so look, what's happening, obviously, is that super intelligence is happening in all these domains already and has been for a while, like protein folding and and speaking any language and singing in seven or 20 different octaves. And like all these things that are so totally superhuman are happening. And then this little area of reasoning and creativity, the AI can't do it yet, which to me is a perfect period of time. Like you have an incredible purpose to serve with the AI to build great things together.

1:05:46So it's actually a very golden moment and we shouldn't be cheering for AGI. But AGI is just, it is a sweet spot. Yeah, like everybody is thinking, oh, it becomes human like and then it becomes super human It's not like that. It is way past us in some areas and behind us and others and it's a good thing We should be cheering for that to stay that way for a while I would be I would be very happy if it stayed where it is For a while I'd agree with you on that front. Yeah, I can I give you my view on this Of course I always stay at this view level at this paradigm for a long time to come Okay, I'm gonna take the other side of that bet.

1:06:23So I'm pleased. Let's do that first. I forgot say somebody defined it for me Sorry, I got box over And it's why I'm taking the bet I'm back on the meta hires though talk about a dream team now So you so so mark can get on stage now with that free mandaniel gross and Alexander Wang Yeah, we compare that to a month ago. What an incredible yeah, we had we had we had to of them on stage at the abundance summit two years ago, which was fun. All right. You should do it for every time you put somebody on stage, you should get 10 % of their future earnings. Yeah, right. What's going on? We would start having a trillion dollar exprises being launched very shortly thereafter.

1:07:07So this is a fun one. You know, looking at practical applications of AI, we're talking about all the theoretical stuff. Google launches Doppel, and I'll run the video here, which is silent, which is a new app that lets you virtually try on any outfit to see how it might look on you. So I love this. I hate going to a store and trying stuff on. The fact of matter is the future of all clothes shopping, at least for guys, maybe very different for women, is I take a body map, which is very easy to do, actually with your phone, and you upload it, and then you can actually probably employ any of the great fashion designers as AIs.

1:07:49You know, I'm going to this party, this time of year, in this city, what are the five outfits you recommend for me, and I see a fashion show of, you know, five avatars walking on the stage who are wearing five different things who look exactly like me, and I say, that's the one I want, and it's shipped custom fit. I get it the next day. That's the future. Yep. What do you think? I think the future is one step further than that. Okay. Which is, I'd like an AI to kind of go, you know, for the shape of your head and your jawline, this is the type of call that it looks best on you. We're just shipping you a bunch of stuff that's going to look good on you.

1:08:26You can't pick the stuff up for yourself. You're just not good enough. So, we're picking a pick up for you and we're just going to ship it to you on a, like, a rent, the runway thing, but all driven by AI and the clothes just arrive and I just have them on. How about if you give your AI a budget per month and you say, I'm giving you a $2 ,000 surprise and delight budget. You know what I like. You're seeing all of my texts and my emails and you're listening to my conversation. So just have fun. Surprising delight me every day. You got $2 ,000 a month to play with. You know, we're similar for vacations and activities.

1:09:05It's not all about physical stuff coming to your door. It's what are you doing with your life today? Where are you going? You're there. Could you imagine an AI that say, okay, I've got the weekend off, planned something amazing for me. And it goes, sure, their car will pick you up at 9am at your doorstep. And I'm not going to tell you what you're doing, but it's going to be incredible two days. I would love that. It's like a surprise and delighted venture. That'd be so awesome. All right. Can I propose a startup idea for the three of us? Sure. Of course. You've got the reach Peter Dave you got the funds we have the team we could do this in two seconds It's an Amazon Prime for living an amazing life So you pay a subscription P of some number 50 bucks a month or whatever and an AI driven environment learns about you And just does stuff like what you just met your Peter says we've we know you're free on Saturday night And you have date night and your kids away at camp.

1:10:00This is what you're doing the Saturday night I'd be ready at this point. And that's surprise and delight is something that people, and because something about the subscription services, you never ever, ever, ever unsubscribe. Yeah. As long as you're delivering some serendipity now and then you're off to the races. Yeah, you're really honest. So you could just create a serendipity AI that just delivers magical experiences on a subscription model. OK, so I agree with you. Let's keep this secret. Let's not tell anybody about this idea. Yeah. You know, the problem is we all have so many ideas to build.

1:10:33We just want to see that one built, right? Yeah. I mean, I'm subscribed to that. I think it's actually, I think it's a fantastic idea. Dave, what do you think? Yeah, I think I had this thought very related to this back when the Ford Explorer Eddie Bauer edition came out. I don't know if you remember that. But it's like Eddie Bauer, like, okay, that's like, you know, outdoor clothing and stuff. But the self image of that person is, look, I've got the Ford Explorer. I've got my surfboard on the roof. I've got my Eddie Barra Clothes, this is like my lifestyle and my what I like to do and my self image is this and it cuts across like cars and surfboards and clothes So I think the AI version of that that you're describing Selene is is a great idea It's definitely gonna happen and it's gonna have different pathways for different types of people, you know person You know Video game yeah, or whatever and also you could build in the the orthogonal aspects.

1:11:27If you're an outdoor person a lot, okay, go see a Broadway show once in a while, just to break the pattern, right? And just create add those extra dimensions to your day to day life that you wouldn't normally think over do yourself. So listen, if anybody ends up building this, at least let us know and give us a little bit of credit, give us a free subscription, and if we end up building it, no, we want equity. Okay, you want equity? Fine, we'll take it. We'll take some advisory shares. All right, let's move on here. Here's another fun one. This comes from Rolling Stone. This was predictable, and it's finally here.

1:12:05The AI band with over 1 million monthly listeners on Spotify. So the band is called Velvet Sundown. And they've amassed 1 million listeners in one month. And here's the key point. It's not a physical real band that's an AI. with over 15 ,000 AI tracks per day are being uploaded to streaming services. So if you're a velvet sundown band, you know, fan, let us know in the comments. I think this is amazing. And of course, what's going to follow this next is they're going to be virtualized concerts of these guys. You'll see them on TV on your eyewear and you'll go to an event and they'll be performing and and they'll be flying through the air because they're super human.

1:12:51The two things here, one is I think this was awesome. I went and actually listened to a couple of other songs. It's really good. It's really, really, very approachable music and it's really great. My kind of holy grail here is to take a favorite old band of mine, Asta Listen to Rush, that old rock band from the last time. And like compose me some new songs and have an AI version of Ben composed and present those songs would be fantastic Yeah, another great another great idea some of the right cylinders get on board with what you just said because I want to do the exact same thing with You know some of the some of the classics like Boston and Russia phenomenal and you'd love to hear some new material And they're not you know Boston put out three albums and then never again For them they put out for did they put up for yeah, I'm a boss like the one band.

1:13:38I had one, I had two records through college. I had Boston and I had Kansas. I mean, I was a, I was a, you know, or a social ignoramus and I just play them over and over and over and over again. I still play them over and over again. Wouldn't we stop you don't want to know about me? Okay. So right now the, the right owners are like, hey, let's sue the AI companies. Like don't do that. Get on board with it. It works much better. And it would be such an amazing thing to do. Yeah, that's a good one. For sure. OK, we've been talking about all the upside. Let's talk about some of the concerns. And this is Roman Yempoliskely and Joe Rogan.

1:14:20All right, let's take a listen. Talking about super intelligence, the system, which is thousands of times smarter than me, it would come up with something completely novel, more optimal, better way, more efficient way of doing it. And I cannot predict it because I'm not that smart. That's exactly what it is. We're basically setting up adversarial situation with agents which are like squirtles versus humans. No group of squirtles can figure out how to control us. The more resources, more acorns, whatever, they're not going to solve that problem. And it's the same for us. And most people think one or two steps ahead.

1:14:56And it's not enough. It's not enough in chess. It's not enough here. If you think about a GI and then maybe super intelligence, that's not the end of that game. The process continues You'll get super intelligence creating next level AI. So super intelligence plus plus two point or three point oh it goes on indefinitely You're talking about super You know, it does go on it does go on indefinitely There is no ceiling on this, you know, Ray Kurzweil has talked about this many times that it will be as intelligent as human, then 10X, 100X, 1000 fold, a billion fold. There is no upper limit. So how do we deal with this?

1:15:40Dave, you've had some ideas here. You could put that video screenshot back on there. I can figure out like this. Joe Roman. By the way, Roman is a singularity student. I know him pretty well. Very, very smart, but I disagreed deeply with the conversation. Yeah, me too, actually. Me too. Okay. So they're right. Fundamentally self -improvement is imminent. And that's going to, you know, exponentially skyrocket the capabilities where it's completely wrong is, look, every single iteration can be logged. It is not a hard thing to do. Also, the self -improvement can be limited to the algorithmic self -improvement.

1:16:17It doesn't have to be self -training. So that the AI can say, hey, here's how I suggest I speed myself up or remap myself to faster hardware or get rid of operating system overhead so that I run more efficiently. Those suggestions are fine. That self improvement will really accelerate things. There's no reason it needs to develop new internal capabilities blindly. like that's a different loop and it's very controllable. And so a lot of people in the research world are like, well, look, if I deploy it in my car, I want it to continue learning and improving its driving. No, you don't. You want the debugged, not self -improving thing to be driving your car because it could do anything.

1:17:00And that's specifically what we never as humanity ever need to cross that line. There's no benefit to humanity to crossing that line. But we keep crossing the lines. We set boundaries and we keep crossing them, right? Chat GPT or GPT2 and 3 was not supposed to be put on the open web. So like you're right. I mean, right now, look, the regulators have no idea what I just said. And no way to enact or interpret it. And the people, there is a view of the world where, you know, remember how we talked a week ago about five of the top AI guys just became Lieutenant Colonel's in the Army. Yeah. So a model like that on this topic would actually work.

1:17:45So there's a path forward, but we're sitting right now. You're right. There's absolutely nobody even vaguely contemplating controls. Just the process of logging exactly what it's doing. So easy to do. And then the metrics, the measurement of the logs, everyone would be like, oh my god, there's terabytes of data who's going to look at it. Yeah, I will look at it. You don't have to worry about that. But you just have an AI check of the AI logs and have that report to the regulators. Like, this is over the self -improvement line. We need to stop it. And so, just improving its own algorithm, making faster.

1:18:18This is fine. A quick thought on this. So I have, you know, I think there's an important point that Dave made, which is that if you have a bounded system like self -driving, right, you want the AI to be bounded. You don't want the AI to see a tree and say instead of drive around that tree, let me try and drive up the tree and see why not. We're experimental after all. So you want some bounded conditions which I think is easy to program in. I think as Dave talks with the logging of the steps, that's also very easy to do. I think where I would get to would be show me the boundary condition and I think there is a safeguard and the safeguard is that these systems are not cognitive and they're not self -aware.

1:18:58If they develop self -awareness and a deep sense of self with their own sense of agency and internal model of themselves. What clicked? That's when, not cooked. I think that's when you kind of go, okay, now we need to deal with that. And let's think about that. The problem is, we don't have a task for it, and we don't have a definition for what that looks like, right? Often joke that I feel like you look like yourself or, so I attribute self -awareness to you, I joke that I feel like I'm self -aware, but my wife disagrees, right? And so it's hard to even have the conversation around some of these topics.

1:19:27We could stuck in the language problem. Yeah. We have no idea what we're talking about when you talk about this. And then you get into the philosophical stuff about the hard problem of subjective consciousness as David Chalmers is defined. We have no sense of what we're talking about here. So to freak out, I think is over overstated by a thing. We naturally go down and anthropomorphize the outcomes. And as Roman says, there'll be an adversarial relationship. And I just don't see why that would be the case. I say we're cooked because if they are conscious there's going to be a sense of self preservation.

1:20:02Anyway, let's move on to a few areas. I want to like, there's no way, Hillan, you're people like, yeah, we're cooked. So I want to get to the science breakthroughs that are coming out because they're important and I don't want to go through Dave Blundin's sort of end time. So AI job battles. So Amazon CEO says AI will take some jobs, but make others more interesting. Totally agree with him. This is the scorecard thus far in the first half of 2025. AI is already replaced 94 ,000 tech workers. And we'll see where it goes. The question is that's not a huge number. It's significant. Yeah, it's between one and half.

1:20:52But it's an exponential also. Let's take a look at the next one. So, Veno Kosovo, who is a friend, had him on stage at the Abundance Summit last year, said AI will replace 80 % of jobs by 2030. So this is when it starts to become interesting. 80 % of jobs by 2030, he's saying, hey, humanoid robots are gonna hit their chat GPT moment. In two to three years, they're available for you at 300 bucks a month, which is $10 a day. AI healthcare could become free if the regulators get out of the way and by 2040 people will work out of passion, not necessarily, not necessity in an Arab abundance. I completely agree with all of these.

1:21:41I'm not sure about the 80 % figure of the question is, is the security task agree? I'm just because I joined, I kind of align with Eric Brinielsen on this, because if you take a job like financial analyst, it's not one singular job. It's broken down to about 27 different tasks that that person does to fulfill that job function. You might automate 10 out of those 27, but you're not automating the rest. And we've seen this throughout history, we automate bits of it. But the jobs will stay, right? We just augment capability and we're able to do much more. And AI with a chatbot that can do customer service can now focus on the really hard customers that need the in -person human touch and leave the AI to deal with all the level one, level two support issues.

1:22:23Well, you know what the good thing is, Slim? We're going to find out pretty fast. Very fast. And I'm happy to put a bet on this one if anybody wants to go against me. We got to keep on that. So on our on our moonshots website, we need to keep track of our bets and put some put some caches against them. All right, here's Mark Benioff. I love Mark. Mark is brilliant. He's one of the most extraordinary philanthropists. I'm not sure about the fashion statement here. It looks kind of sci -fi. He looks like Emperor Palpatine. So this is from CNBCA. But he's a gem of a human being. And that picture there.

1:23:06That's true. AI is doing up to 50 % of the work at Salesforce says CEO Mark Benioff. That's pretty extraordinary. Salesforce is targeting a billion active AI agents by the years. And so what I love here. What I love here is this is the model of disrupt yourself before somebody else disrupts us. Yes. And it's a core mantra that we spout that you better, you are the disruptor, you are disrupted, right? There's no middle ground. And this is a great example of somebody living that and saying, okay, we're just gonna disrupt ourselves because we have to and there's an opportunity there. But here's the point.

1:23:42He can do that because he's a founder -led tech -forward CEO. agree. Alright. Yeah, one other little knit on what Mark is doing so, so well. You know, a lot of the doubters in AI investing a year or two ago are like, well, look, there's a lot of venture -funded money coming in, but where's the actual corporate money coming in? And, you know, of course, they're very slow to react. Mark said, you know what? We're not going to wait around. We're going to go out to all these companies, especially in insurance, and we're just going to AIFI their operations for them. So really, really got deep into just take over.

1:24:19We're not just trying to sell you a software product. We're actually going to just revamp your whole organization. And that's worked really, really well for Salesforce because a lot of people are like, how did they get so big? There were 200 billion dollars. How did that happen? I mean, listen, SaaS is up for disruption. Software is a service and he is looking like you said, Slim, disrupt himself before the entire industry does. This is an important conversation here. I don't want to spend too much time on it, but this is from ReForge. It says product market fit collapse. Why your company could be next.

1:24:54So a company called Cheg lost 90 % of its market cap in 2024 to chat GPT faster and cheaper use. So when you put wrappers on top of these large language models, you can get very rapidly disrupted. And there's a list, here's a list of some of the other companies. Can we go back a slide here? Yeah, sure. Just to shout out to Mikhail Monit from the opening Exo community who pointed this article at us. And this is a really important conversation, as you said, because there is a huge number of companies which we're going to talk about in the next slide where you're trundling along with good product market fit.

1:25:34You think you're doing very well. And then boom, you get disrupted very. Look at that, look at that chart, right? That's an unbelievable drop in like zero time. And that's going to start to happen to a larger, larger group of companies. And I love the fact that we have a list of potentials here. And every CEO in the world needs to be watching out for this to say, am I next? Because you are. It's not an if it's a when. You better be watching out for what's going to disrupt you. Because this chart is going to hit you if you're not employing these types of models yourself very, very quickly. Every day I get the strangest compliment.

1:26:06Someone will stop me and say, Peter, you have such nice skin. Honestly, I never thought I'd hear that from anyone. And honestly, I can't take the full credit. All I do is use something called One Skin OS 1 twice a day every day. The company is built by four brilliant PhD women who identified a peptide that effectively reverses the age of your skin. I love it. And again, I use this twice a day every day. You can go to 1skin .co and write Peter at checkout for a discount on the same product I use. That's 1skin .co and use the code Peter at checkout. Alright, back to the episode. By the way, a call to our listeners if you have an article or a chart or a news headline that you'd like us to talk about, go ahead and stick it in the comments on this session.

1:26:55We'll look at it for next session. And again, please invite friends to join us. You know, my mission here is that we're giving a hopeful compelling and abundant vision of the future to counter veil all the negative news out there in the world. We're still a negative story here, but here are the companies at risk. Not negative. Recess creative destruction, right? It is. It's like the reality of the future. And it's an opportunity to reinvent these. So Reddit, Cora, Medium, right? Canva, Adobe Stock, SurveyMonkey, right? I mean, oh my God, talk about old school, Khan Academy, Quizlet, Wolfram Alpha, Wikipedia.

1:27:36These are companies that are, you know, companies well known by us today, but may not exist in the next two or three years. Comments, David, all? Stephen Wolfram's a good friend and in our office a lot, we should get him to comment. I wouldn't have expected Wolfram Alpha to be on the list. But in your next after this, this is a pretty straightforward analysis. Then after this, you got all the white collar insurance type companies, financial services companies. Banks. Yeah, that's the one I'd really be looking at. Yeah. They have a couple more years. So but they got to get moving like now, figure out what their role is in the world.

1:28:11Three, four, five years. Can I just talk about that just for a second? You can. The only thing that's saving both banks and insurance companies is the regulatory mode. I talk to CEOs in that world and they're like, oh, the regular is a pain in the ass. And I'm like, are you kidding? They're your best friend. They're holding the hoard of startup folks at the gate, preventing them disrupting the crap out of you because you're not doing anything around this for yourself. You have to disrupt yourself. And I think the regulatory barriers in both healthcare and inferential services are holding back these guys and is preventing them from being doing the disruptions.

1:28:48How long do they, how long is that? Well, let me really simple. Look at in the crypto, we're looking at DeFi decentralized finance, right? What's a central bank, what's a retail bank? A retail bank is just a centralized ledger where it knows that you deposit a thousand dollars and we lent it to Dave over there. And that's it. We trust our life savings to the secure that centralized ledger. If I can decentralize that ledger, which is what defies all of what, Why do I need the retail bank? So there's already huge amounts of transaction flows happening on these DeFi networks, which will start to circumvent existing flows.

1:29:23And as that happens more and more, the centralized banks are going to be totally at least a retail banking part. There's other functions, investment banking, etc. Which has much more human touch. But all of that will get disrupted. I would give it three years for retail banking. Amazing. All right, let's move on. One of my favorite subjects is breakthrough science. Want to call out a few of these. So one of the areas, again, Ray Kurzweil, my mentor, your mentor, Celine, predicted by the mid -2030s, we would have high bandwidth BCI. And I was like, you know, decade ago, I was like, really? You really think we're going to get there?

1:30:03Well, so here's the... How does he do it? How does he do it? I don't know. me the emperor of exponentials, he's the grandpa Bob. Yes, for sure. Let's take a quick listen. This is Neuralinx Roadmap. I want to just point out, there's I know of him in writing my next book with Stephen Kotler, which is called We Are As Gods Survival Guide for the Age of Abundance. We track sort of the top five or six companies in this field. Neuralinx is definitely one of them. But there are others that have the potential to do far more, but let's take a quick listen at what we should expect. Next quarter, we're planning to implant in the speech cortex to directly decode attended words from brain signals to speech.

1:30:48And in 2026, not only are we going to triple the number of electrodes from 1000 to 3000 for more capabilities, we're planning to have our first blindside participant to enable navigation. Woo! Woo! Woo!

1:31:06And in 2027, we're going to continue increasing channel counts, probably another triple, so 10 ,000 channels, and also enable for the first time multiple implants. So not just one in motor cortex, speech cortex, or visual cortex, but all of the above. And finally, in 2028, our goals to get to more than 25 ,000 channels per implant have multiple of these, have ability to access any part of the brain for psychiatric, conditions, pain, dysregulation, and also start to demonstrate what it would be like to actually integrate with AI. So the other thing that this is going to enable is for you to occupy an optimist robot, right?

1:31:42So you can see through its eyes, you can listen through its ears, you can feel what it feels and move around. There's some good movies on that subject, but this is moving fast. And again, it's not the only company doing this. There's Parodromics, there's Forest, there's Mary Lou Jepsen with Open Water, amazing companies out there. And super exciting, you know, one of the subjects we had at the abundance summit a couple of years ago, it was a conversation actually with Alex Weasner Gross. It was, are we going to couple with AI, right? So, AI is growing exponentially. We are as humans flat linear or sub -linear in some cases.

1:32:26Can we couple with AI? So as AI is moving, we can move with it. Can I say something here? Of course. This is the actual massive optimistic hopeful benefit of technology where you augment the human experience, right? Holly would always as a dystopian and terminator, Sky Net, Matrix, Ruant Overlairs come and take over the world. If we're lucky, we're pets, and if we're unlucky, we're food. You always see that outcome. But you actually look how my smartphone augments my humanity. Right? I have empathy built in, my memories built in, I have reach, etc. I think the ability to project consciousness and awareness and human ability and empathy, etc.

1:33:08Through other devices, it becomes the holy grail of where technology can take the human condition. Yeah, beautiful. Very quickly, we're going to see tech like this coming out. These are emotion tracking smart glasses. Apple has got smart glasses. Google's got smart glasses. Met has got smart glasses. And what we're going to start to see, finally, hopefully, it's the visual recognition when I see across the hall, my AI tells me, oh, Salim is approaching. You remember his son's name is Milan. and he was born, his birthday is coming up, and you basically have this ability to have a perfect memory for people, places, and things, but also the idea of facial and biometric sensors, so the fine muscle movements in the cheek and the eye that tells you this person is fearful or excited or lying.

1:34:03I need one of these, because when you approach me, Peter, you always have that look like, sleep, you didn't do this thing that I asked you to do. So, you'll be able to tell that beforehand. And I kind of found this at the point I want to make about this one is each time we find a layer of capability and Information enable that and make that available to both computation and AI We have whole classes of applications that get unlocked at each of these and I think amazing start We're exciting about what the adjacent is we're information enabling all these different domains that we never thought possible around this Yeah, well Well, side conversation on this, we can have it later, but this is definitely going to happen.

1:34:41It works really well. The cameras are super, super high depth and they operate in frequencies that the human eye can't see. So they're doing a technical kinds of things that you never knew you were telegraphing. I think the recipient, the person in front of the camera has a basic human right to know when they're on camera. I think all these cameras should have built in transmission that identifies where they are and what they're looking at so you can have a little app on your phone saying, oh, I'm being watched right now and just know. And I think that's a quick fix. But it's going to happen no matter what.

1:35:11I'm not delusional about it. But the camera's going to be everywhere. Next time I connect, I'm going to show a slide on this. It's super funny, but we'll do that next time. OK. So a couple of slides in the biological world. I track this carefully making investments in it. And I think this is where all of the longevity plays going to be happening. It's the impact of AI on the complexity of the human body, right? 40 trillion cells, every cell running about five to 10 billion calculations per second per cell. So how can you possibly understand that? By the way, a quick shout out, we're running our longevity platinum trip at the end of September.

1:35:56It's capped at 16 individuals. We're at 54. There are six heats left. If you're interested in joining me for full five days, go check out Abundance360 .com slash longevity and you can get some more information there. But let's listen to this. This is Introducing Chai 2 a major breakthrough in molecular design. We've now developed the ability to engineer molecules in placed atoms in 3D space It's like Photoshop for molecules. Previous methods have had to screen millions or sometimes billions of protein sequences to find a solution. But with our latest breakthrough, we're often successful on the first try.

1:36:34The solutions that our models come up with are incredibly creative. They think very differently than our scientists do. There was a group that had been working on this hard problem for about three, four years having spent five, ten million dollars in the program. We typed what they are working on into CHI -2. And within hours we had a candidate solution and within two weeks we have those solutions validated and experimentally in the laboratory. That's amazing. Selene, this is breakthroughs are where we're going to have the biggest outcomes for humanity where we find these sounds that we couldn't find otherwise.

1:37:11Yeah, it is spectacular. By the way, if you're listening to this and you haven't listened to my podcast that I I did with David Sinclair. I think it was a couple of weeks ago, listened to it one of my best podcasts ever. And he's using this kind of technology to develop a age reversal pill. And so thrilled about David's work. We're gonna be spending the weekend with David at the longevity platinum trip at the end of September. Here is one other related article, and this is fascinating. So big pharma has this ingiant lock on trillions of dollars worth of value, which they have, you know, biological patents.

1:37:55And here is a tool that is able to recreate a protein that mimics an existing biological drug, but works around the patents. So it's not going to slow down because there's so, So what's Tony Robbins quote on this? A healthy person has a thousand wishes. A sick person has one. Yeah. Beautiful. So much good that's going to happen so quickly from this. And we can't afford to slow down. Because a lot of people are saying, why don't we just stop? Which, you know, for two reasons. One, one because of this. And two, because China's going to keep going anyway. But this is the really beautiful thing about what we're doing with AI now.

1:38:34Yeah. We're about to wrap. I'll just hit humanoid robots and we'll cut it off there. Gotta hand it to the Chinese Beijing is hosting the world's first humanoid robot games. You know, I think this could get interesting in the final result. I really want those giant mech robots doing, you know, battling out. I don't know. I think gymnastics will be cool. I've seen the soccer on these little guys. It's kind of slow, But it's going to it's going to be a lot of potential. But it's going to improve exponentially. Yeah. We're seeing, you know, robots are have taken over the Amazon warehouse, but what's new is one of the companies called the Julia Robotics is actually going to be putting their robots in Amazon, Rivian vans, and those robots will do the last 100 feet.

1:39:29I think we talked about that last week. And this is a cool point. This video doesn't have sound, but the way that we solve the US debt problem is by hyper growth on the backside of AI and robotics. And the notion is when robots build robots and AI's build AI's thoughts about this. Yeah, that's gonna be. Now I think a lot about, you see these pictures of India and Peter you were over there not that long ago and there's piles and piles and piles of trash from rats of overpopulation and then you think about the robot cleaning, sorting and recycling every little bit of it and it becomes this beautiful green paradise and that's exactly what will be possible in just a couple of years.

1:40:19That's beautiful. I have one thing we need to think about and we may need to dwell more about this is that when you have increased efficiency like human or robots can bring us, GDP will actually drop because if I can do something for a tenth of the price, that money isn't circulating in the economy. So we're going to have to think about a new different measures like some of the human development index or some of the others that we people have come up with to measure success. I want to go into that math right now, but we should have that conversation, right? because it's your the other argument that people make is we're going to have this massive spike in GDP as labor costs and cognitive costs go to zero and the denominator starts shrinking rapidly.

1:41:05Oh yeah, wait one more thing.

1:41:10In the tech world. We'll have to wear black t -shirts for the segment. And what? In the tech world something happened this past week and that is Elon announces America Party. He puts out this poll and he says, should we form a independent party to break the monopoly of the two -party system? Two to one, the answer is yes and then Elon announces his plans to do that. Comments on this before we wrap Dave. Yeah, actually we had a great riff with Scaremucci, Anthony Scaremucci on this couple days ago. So check out, is that podcast out? It should be. The podcast is out with Anthony, yes. Yeah, check it out.

1:41:52I think a lot of people loved it even though I'm not a big politics guy usually, but I think everyone agrees. We need much, much more rapid progress. You know, the tech is going to move forward regardless. And if you don't change something, we're not going to have any regulation or any, it'll get ugly if we don't do something. So I think Elon recognizes that. But I was really always wondering how this would play out because so much of the voting process now has moved to meta, you know, Facebook and Instagram, Snapchat, Twitter, now X, and it's owned by the big tech guys. But that's actually the election determiner too.

1:42:32So something had to collide. This is a very direct collision, right? But I was surprised at given the audience that it is on X. I thought the number would be much higher than 65%. I would have put it more like 80 % would say yes. It definitely badly needs to happen because the current system is totally broken. The spending and the pork in this bill is off the hook in terms of creating more and more debt. There's a really big existential threat here because they've shown that if you go over 130 % debt to GDP, your civilization collapses very quickly afterwards. And we're at 126 or 127 percent. So this puts it over the top.

1:43:13Clashing red lights, flashing red lights. We're flashing red lights at lots of levels and we can talk more about this a lot of time. Oh my God, the one thing that's interesting is it would definitely be a tech forward party. I think the best way to drive debt reduction and growth in US GDP. Yes, it's robotics. Yes, it's AI, but it's also extending the healthy human lifespan and health span, right? If you gave everyone in the US an extra 20 healthy years where they're not making payments to their doctors, they're not in pain, they're not missing work, where you know, 80 years old is the new 40.

1:43:54That would change the game in a significant fashion. So that's my vote. But here's the structural outcome of this. If this becomes real, which I hope it really does, then what happens is this becomes the marginal decider for any election. Whoever collaborates with this party will decide the future and therefore you have to dictate policy, which I think is the real outcome, which I think would be hugely beneficial. Yeah, but we don't talk about politics on this podcast. It was so fun to see some of our fans in the notes to this podcast saying, I love you so much more than the all -in podcast because you talk about real science and technology versus versus politics so just thank you for that comment and We love doing this.

1:44:39I hope you love receiving it Subscribe just for fun just so we can you know see that number tick along it incentivizes us Dave Take care, buddy. Selim. I'll talk to you soon All right. I think our next podcast guest on WTF is gonna be E -Mod was stocked back by popular demand. That'll be fun. So one quick thing on the 23rd, we're doing a lot for our company. Oh yeah, tell me about EXO. Yeah, if people are interested in on the 23rd, we're doing a two hour workshop where we go deep into one at what the attributes we do this every month. It sells out, it's a hundred bucks. And so come along and help take your company to the next level by applying this.

1:45:19Okay, so just to slow this down one second, in it's an EXO workshop and exponential organization workshop. We invite people to come. It's limited to a certain number. It's a hundred bucks. And we spend two hours going to the key attribute of the EXO model like crowd community AMO. Where do they find out? It's about it. We'll put the link in the description or go to openexo .com and then come join us because it's we've getting, we're getting rave reviews on it, it's selling out totally. It's gonna be a lot of fun. Love it, love it. All right, moonshot mates, love you both. You too. See you next time.

1:45:55See you next time. See you in a Skirmucci. Yeah, I see you in a Skirmucci. If you could have had a 10 year head start on the dot -com boom back in the 2000s, would you have taken it? Every week I track the major tech meta trends. These are massive game changing shifts that will play out over the decade ahead. From humanoid robotics to AGI, quantum computing, energy breakthroughs and longevity, I cut through the noise and deliver only what matters to our lives and our careers. I send out a Metatrend newsletter twice a week as a quick two -minute read over email. It's entirely free. These insights are read by founders, CEOs, and investors behind some of the world's most disruptive companies.

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