TECH013: Monthly Tech Round-up - Davos WEF, Claude Cowork, Macrohard, w/ Seb Bunney (Tech Podcast)

26:13Whereas if you have some of these large language models that you've ingested the world's information, and if you do remove a lot of the biases that we have pre-programmed, and you ask it objectively, what is the answer to this question from your perspective, from all of this data, I think in essence, you're going to get a much cleaner result than you are from humans. And if you take the time to argue with it, and then it lays out seven reasons why you're wrong, wrong. It's a little humbling to be arguing with something that's a thousand times smarter than you. At a certain point, you don't even really ask the second or third question.

26:46You just realize that you're wrong. And I think that for the first time, I think any human looks at another human, and if they're really smart on something, they are able to explain it very simply, and they're able to go very deep on the topic if there's five more questions that follow the initial volley, right? That's how you know somebody really knows what they're talking about. And you can just see in the confidence and you can see in the quality of their response and you can see in the depth of their response. And then they're also able to compress it into something really simple. That's when somebody knows something.

27:17And so for humans, they have to go through that process, which is very time intensive, energy intensive, and you actually have to know the right questions to even ask. So you have to have some depth of knowledge, right? But you're almost at a point in history that has never, a human never experienced where they can go to something else. And when it gives you an answer and it's different than what you thought, like the human is immediately questioning that whether they're actually right. They're saying, oh my God, I'm probably, in fact, they're defaulting to, I'm probably very wrong if this is the actual response that the AI has.

27:51Totally. And again, like as you're saying that, what kind of comes to mind is you think about like doctors, like the reason why we go to a doctor is because they have spent the time to read all of the medical textbooks and become experts in the field of medicine and illness, disease, you name it. You're going to them, you're giving them your symptoms, they're coming back and giving their best estimate as to what they think your illness or injury is. And the problem is, and we've seen this time and time again, is if that doctor, say, goes and does some ADHD training, then he perceives the majority of symptoms you're handing, oh, that's ADHD and we have these biases.

28:24Whereas I see something like the medical field, basically just eliminate it overnight when they're able to, this AI is able to take in every single medical textbook, weight it appropriately, and give much more accurate outputs than any doctor can ever do. Any doctor could possibly muster. Possibly muster. What's this Ralph thing? For sure. So if people have been digging into kind of the world of Claude and Cowork and like these agentic agents, what we have seen, I would say in the last like three weeks, people that are deep down the rabbit hole have probably seen it for a little longer, is this thing called Ralph start to pop up.

29:01And Ralph, just like how we've seen Claude has recognized, okay, you know what? Lots of people were using Claude Code for building code bases, you name it. And now we've got Claude Cowork for the average individual, the normie, to be able to start talking with Claude and pointing it at these various file directories, you've got the expert developers taking Claude code and taking it a whole step further. And so the idea of Ralph, think about in The Simpsons, you had Ralph who was kind of like, he wasn't necessarily the smartest. He was very persistent. And he just kept doing the same thing over and over again.

29:37And he would fail very overtly, very loudly. He didn't get embarrassed. He just tried again. Well, this guy has effectively taken Claude Code and he's written, this guy's name was Jeffrey Huntley. He wrote, there's Ralph. He's basically taken Claude Code and he's written a five-line script named it Ralph Wiggum. And the idea is it's an AI persistence machine. And so if you, I don't know, before you go to bed, you want it to kind of build you something or you want it to run a task. Up until now, it's been very hard for AI to really achieve great results out of that task. And so what this guy, Jeffrey Huntley, has done has been able to get it to keep persisting.

30:16And the idea is that you'll have one little agent work on a task, gain information, maybe potentially fail, but that gives context. That failure gives context for the next Ralph to start the next task with new information. That gives context for the next Ralph. And so repeat, repeat, repeat, repeat. And you find these loops of AI agents building profound, profound things. And so ultimately, this guy, Jeffrey Huntley, talks about a couple examples where he, within three months, he wrote a whole new programming language, which is just like incomparable to any developer out there. And then on top of that, there was another individual on Twitter, on X, who was saying that he just brought out, he just kind of scored a$50 ,000 contract.

30:57If he wanted to kind of outsource it, pay for developers, it would have been unbelievably expensive and he used Ralph. And the API cost for$297 and he completed this contract with almost no oversight. And so Ralph, a lot of individuals are using Ralph to build out apps. They're building out broken builds. They're building out issues in really complex code areas, libraries, and they're just letting it do it overnight. And Ralph just persists and persists and persists. So it's quite a simple thing, but there's a lot of individuals that are using it. And to me, it's been pretty profound. So when you talk about how this thing's just running while you're sleeping, you can imagine that depending on what type of plan you have with call it Anthropic or whatever AI you're using, right?

31:38You're hitting your limits very quickly when you're basically employing this intelligence around the clock. And so Anthropic, whenever I max out, which I've done multiple times and I have the max plan. When that happens, I have the option to basically start paying by the computation. And the reason I'm going down this path is because the more that this starts to become the norm, this Ralph, you got all these different agents basically working on something to create whatever. Going back to the Bitcoin thesis, these are computation units. It's energy. And how are people going to use their stored energy in the future, call it 10, 15, 20 years from, it's going to be computation units, right?

32:25There's 21 million of them and there's not going to be any more. And that's really what you're able to do. You're able to harness those energy units and point them into intelligence. And so then the question becomes, if a person has a bunch of these computation units and another person only has a couple of them, who is going to be able to create whatever it is they want in the world. This is a person with all the intelligence and all the computation units, not the person who has zero. So it's mind-blowing to me to listen to some of the conversations. I mean, I listened to Peter D. Mandis and Elon, that was the interview I was talking about earlier.

33:03And they were talking about, they weren't calling it UBI, they were calling it ultra high, what was the term? Basically, it's UBI. They're like, oh, everybody's going to have just a total abundance. And it's like, yeah, everybody on the planet's going to be able to do things that they can't do now because there's going to be humanoid robots and all these other things. But that doesn't mean it's going to be evenly distributed between all the people on the planet. Like I said, we talked about the SpaceX flight that flew out of Texas to Australia. What was it, 30 minutes or 35 minutes? If you want to fly to Australia in a half hour, is everybody going to be able to do that type of thing?

33:43Of course not. You're out of your mind if you think everybody on the planet is going to be able to go do things like that. And so it goes back to Bitcoin. I know I have a huge bias to Bitcoin and we're talking about tech, but I'm just looking at 10, 15, 20 years from now, and we're going to be seeing things that sound like I'm sure people just heard that flight time and are like, well, that can't be real. Folks, it's already happened. It's already happened. that time. This is a matter of when it's safe enough and has the reliability to start throwing humans in it and people are going to be doing it.

34:14They're going to be able to go anywhere they want in a half hour around the world. You make such a good point, which is obviously what Jeff Booth talks about with the price of tomorrow. Ultimately, if you've got a monetary system where someone can continue to increase the supply of units that benefits them and Cantillon effect, they can use those units to purchase these scarce natural resources. And so you have an uneven distribution, whereas at least with Bitcoin, as we're getting technology advancing and it's driving down prices, although you've got scarce units, you don't have an individual at the top who is able to purchase these resources ahead of you.

34:50And if you think that these AIs aren't going to be smart enough to know the difference between a dollar stable coin that can get rug pulled from them and a Satoshi, you're out of your mind. Totally. You're out of your mind. They understand the difference now. Go ask one. I also just think as well, when you think about AI, AI doesn't have a fear of death like we do because it's got infinite longevity. We don't have that. And so in a sense, minor inflation doesn't really bother us because you know what, I'm probably going to be dead in a few decades. Whereas for AI, it's just like, no, I need to store my value in the thing that I can guarantee scarcity because if I'm going to be around for thousands of years...

35:29Scarcity and sovereignty that they can't get rug pulled by. Because think about this, the first rug pull of any token that's backing a dollar, a euro, an equity, whatever, right? The AI, it's going to learn that and it's going to be like, okay, well, that's a lesson learned that I'm never going to repeat. It's never even going to do it in the first place. It's going to be so smart that it understands what sovereignty even means, right? In that context. On this topic of basically software leading almost as a PM of other eugenic software and whatnot, there's another Elon Musk project called Macro Harder.

36:10So let's just first talk about the name of this, which is hilarious. Absolutely. Here's the Elon saying, here, I got to get it out of the way so I can read it. Is this a play of Microsoft? Absolutely it is. Macro, micro, soft, hard, right? Absolutely it is. The XAI macro hard project will be profoundly impactful at an immense scale. Our goal is to create a company that can do anything short of manufacturing physical objects directly, but will be able to do so indirectly, much like Apple has other companies manufacturing their phones. So, I mean, this is his attempt at throwing so much horsepower into computation around 3D environments and a genic software building itself to make any type of custom software you want, that it makes Microsoft obsolete and pointless.

37:10I mean, this is crazy. This is crazy. Where are we going? Where are we going? This is mind-blowing. You see this conversation about, I've seen this a couple of times, I don't know if you have as well, Seb, where people are talking about apps on your phone. And Elon and others have been like, well, in the future, there's really not going to be any apps. It's going to be all custom-built software that is custom-made for the user. Because we already talked about the SaaS licensing and things like that is just going to be a thing of the past in who knows what timeline. But when I'm building out that app that I talked about at the start of the show and the guidance that I was giving it and the way that it troubleshot it so quickly, I can only imagine where that's at in five years from now.

37:56It's going to be somewhat seamless. So - Well, I think that again, this personalization, I think it really, at the moment, we're only going to be limited by our imagination. For instance, I use my alarm app on my iPhone for day-to-day kind of like to-do lists. Because the thing that I find is regular to-do lists that just have a little ping. And if I don't hear it, I miss it. Whereas alarm, I have to turn it off. And so I'm stuck where I'm like, I'm kind of using alarms, but there's a lot of drawbacks to the alarms. And so being able to eventually just say, hey, I'm using the alarm app. Can you mimic it?

38:31But can you add this functionality and do this and this? And then all of a sudden, I've got a custom application that no one else is using. And it works specifically for my needs because so much of these SaaS products You only use a tiny fraction of the functionality of that product, then a lot of that is just bloat. Yeah. Check out this exchange, Seb, in reference to the whole macro harder thing. So this person, Bubble Boy, he writes, I think XAI having the only one gigawatt data center in the world currently and having others in development means if you think compute scales with models, we all know serving benefits.

39:09that XAI will soon be the most valuable company in the world and completely trounce rivals. Then this gentleman, Beth, Beth Jaisos is the name here, who Elon responds to a lot. So he must be a pretty prominent software engineer. He responded to that comment and said, the only way to skip past Claude Code is to do full compute using RL agents, which they are apparently doing. They are playing to win, to which Elon responded, digital optimists. Okay. So what does all that mean? And what I think it's meaning is it goes back to this macro harder where they're trying to simulate and build a 3D world, completely simulated.

39:53And that's why they're throwing all this compute, all these gigawatt data centers at this problem. And then what he's going to do, I think he's going to be putting the optimist humanoid robot in that digital environment to allow it to learn that much faster so that it doesn't have to move itself through physical reality, which is very energy intensive. So - This is similar to when we spoke about Jensen Huang and I believe it's called Cosmos. And their whole goal of Cosmos is they had that three-dimensional space that has realistic physics-like interactions. And so they're able to, rather than create a robot and then have all the physical limitations and the ability to train the robot, let's say you've got a warehouse and you're getting it to move various boxes, you can have it run the same sequence only so many times during a day.

40:45Whereas the moment you're dealing with virtual environments, you can run it a million times on repeat and parallel. You can learn so much information so quickly. So to your point, by the time Optimus is in physical space, it already understands our world better than we do. And it's learning all of that at a fraction of the cost, which just goes to how he's always thinking about how to be energy efficient with any type of increased knowledge or intelligence that he can uncover. Preston Pyshko I wonder, maybe to the point of at a fraction of cost, I don't know if you have that tab open, it's the ones you and I were discussing earlier through text, the new TCIP protocol.

41:24Preston Pyshko Yeah, that was what I was bringing up next. Yeah, perfect. Okay, so let's bring this one up, which again, there's too much happening to even possibly scratch the surface. Preston Pyshko So this was a fascinating new patent that was filed by Tesla. And you can see the patent here that they're filing for. What it's effectively doing, everybody's heard of TCPIP, right? Which stands for Transmission Control Over the Internet Protocol. What is Transmission Control Protocol, TCP? I'm going to explain that. But what Tesla's filing for here is a Tesla transmission protocol. And so what does that all mean?

42:07And why is this even important. So let's explain TCP. Transmission control protocol is a way for communication to happen in an efficient way. So let me give you an example and something that anybody can understand. So as Seb and I are having this conversation, everybody's been on a video call or something and the screen freezes, and you don't know if the person can still hear you, and maybe the video is just lagging. And so you stop talking, right? You're not transmitting more information to that other person. Let's say you're on a telephone call and you're talking to somebody on the other end.

42:43And as you're talking, you hear the other person say, uh-huh, yeah. And so why are they doing that? Why is that person interrupting or just, I mean, not interrupting, but they're confirming that they hear you. Because who has ever been on a phone call when they just kept talking and they realize that the person dropped off like 30 seconds ago, and they have no idea what the person actually heard. What we're talking about is when you have two parties, two people, two computers that are interacting and transmitting information to each other, there needs to be a back and forth so that you just didn't spend 30 seconds of your time and energy transmitting something to a dead end.

43:25Computers work the exact same way. How they do this in an efficient way is they'll only send, let's say we have something that is 100 units of data from one party to the other. It doesn't send all 100 because if it sent all of it and the other party didn't receive all 100, you'd have to send the whole 100 again. And then you'd have to send it again. But if you break it down into smaller chunks, and let's say I send 10 of those units to the other party, and then the party sends back 0.0001 to tell me that they got the first 10, then I know I can send the second 10. In this back and forth that computers do, this is all done over the transmission control protocol, the TCP.

44:05It's the protocol that establishes that rate of the back and forth between the two parties to make sure that you're not sending huge amounts of data, call it a gigabyte of data, only to find out that none of the packets got there. And that's why they call them data packets, is because they're broken down in the smaller chunks, they're sent, and there's this handshake this uh-huh when each packet is received by the other party. So when you think about this, especially when it comes to training data centers and training AI, if you know you have a really, really reliable connection between computers because you're paying for really high-end connections and really high-end hardware, you might not need to send 10 units in chunks of 10 unit packets.

44:50You might be able to send it in units of 20 or 30 or even 100, depending on the reliability of the communication line that you have without the noise factors and all these other things that exist in between the two computers. And so what Tesla has done is, which I'm sure with the assistance of AI, is they figured out what that appropriate threshold is based on the reliability of their network. And they pumped out their version of a TCP protocol. Now, why are we talking about this? So why I'm talking about it and why I wanted to bring this topic up was because the AIs are going to start figuring out just more efficient ways to communicate.

45:32And they don't have to necessarily figure out, you get this network. With humans, we get this network effect for TCP. It just works. It's never really been that much of an issue for training. But where AI is taking all this stuff at the pace that it's moving, it's looking at that communication layer, that process and procedure for conducting communication and say, this is just too inefficient. Look at the reliability of this line. We could be moving, and the number, by the way, for the Tesla one is 100 to 1 ,000 times more efficient, depending on the reliability of the hardware, which could save, and the estimates is 5 % to 15 % in energy costs for depending on the size of it.

46:14And there's a whole bunch of factors, right? But these are just really generic numbers, about 5 % to 15 % efficiency savings. But where you get into trouble potentially for humans is as the AI continue to come up with these efficiencies of compression through the software, it gets a little hard for a human to audit anything, absolutely anything, without going deep and begging the AI to basically teach me why you did this? Or why are you talking over what appears to be an alien language? Or why are you doing... It's going to look really foreign. And I think these agents are going to be doing things that we just can't really even comprehend or understand as you're looking at it from the outside in.

46:54Seb? I'd do some digging around this because to be 100 % honest, when I was reading about this, I was just like, oh my God, this is quite above me. But as I started digging into this, And so again, correct me if there's anything that you feel is maybe incorrect or misleading. But to me, I didn't quite understand just how much... We are always obviously operating at the forefront of technology, but we've been limited by our hardware many times. And so TCPIP was developed when our silicon chips were nowhere near as efficient as they are now when they first implemented this. And so from my understanding as well, is that ultimately what we're doing is instead of a software approach, we're able to transmit data hardware to hardware.

47:40And that makes it so much more efficient than transmitting data through this TCPIP, which from my understanding is taking this information, packaging it up, creating all these various permissions, this handshake protocol to confirm that the information has been read. And there's a delay in this, which is milliseconds. And milliseconds to us is nothing. But when you're talking about AI, which is processing billions and billions and billions of data points, those milliseconds, that's costing millions of dollars in potential compute power and energy, just waiting there, doing nothing. And so I think - It would be the equivalent of like you saying, like we have a rule between the two of us that when I talk to you, I can only say 10 words and then I have to stop.

48:22And then you have to say, I understood everything that you just said. And then I say the next 10 words, right? With this, it would be like you could just nod as I say the 10 words and I can just keep rolling. And if I'm seeing your nods, then that is the feedback mechanism of it's just more efficient for sending communication. Yeah. That's a perfect example. One of the examples I stumbled across was the idea that TCPIP was ultimately built to be able to basically send information, whether it's globally, jurisdictionally, send information to people across a web of entities. When in reality, if you're working with a data center, it doesn't need that.

49:01It does not need the ability to send information externally. It is more focused on efficiency. And so the way that I understand it, in my mind, is it's almost like a traditional telephone switchboard, where it's like the moment you want to speak to another member, you've got a direct hardwired connection. But that connection is to every other chip in that data center at any one time. And so you're able to do hardware to hardware, which is a thousand times faster, as you're saying. It cuts it down from milliseconds to microseconds, which is profound. And so it doesn't seem like much, but on the grand scheme of things, I think it is going to greatly improve.

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53:16Settlement happens on chain. Custody lives in wallets, not DTCC. Trading never stops. What are your initial thoughts? So I'm torn. When you scroll down on the little tweet, you will see there is a post by Caitlin Long. And she says, great news, but until the shares are issued natively on blockchain, which requires secretaries of state to run blockchain nodes, this is tokenizing an analog asset. The first state that allows on blockchain corporate registrations will dominate. And so I think at first it sounds great. I think at first it sounds amazing. But there is a difference to kind of like tokenization and like blockchain native.

54:02And I think that Caitlin is saying something that's important here, which is although you will have the New York Stocks Exchange running in parallel to this new tokenized platform. The reality is that in the US, when a company issue shares, usually it's in the state of Delaware, which is the legal authority, ownership is defined by the corporate registries, the transfer agents and the courts. The state does not run blockchain nodes and corporate charters are not natively on chain. And so even if New York Stock Exchange issues a native digital security, the legal root of truth is still analog. So there's a part of me that I'm just like, is it fluff?

54:38Is it not? But this isn't my area of expertise. So I'm curious to hear what your thoughts are on that. So first of all, what makes Bitcoin different than everything else is the scarce number of units, the fact that you have no issuer, and the fact that there's no entity outside of it that can come in and say, oh, I'm going to claw that back. That is why it's so different. And this is a perfect example of them saying they're using blockchain technology. So I dug into it. I was like, well, what blockchain are they using? And here, I'm going to read what I got here. New York Stock Exchange isn't building a blockchain.

55:14They're building enterprise infrastructure that happens to use blockchain rails. The question for existing chains, do they become the settlement layer for TradeFi or do they get bypassed by purpose-built systems? What is a blockchain rail? So there's no, so with this announcement, they're not saying it's going to be on Ethereum or Solana or anything. It's all going to be their own internal databases that may publish to a specific blockchain. Oh my God. It's hilarious, right? And to Caitlin's point, and to Caitlin has an amazing point, which is, okay, let's say you're doing it on Ethereum or Solana or whatever, which we all know already has centralization issues, right?

56:00It still comes down to the state that allows that public equity to even exist in the first place to be able to issue into said blockchain so that it can be, you know, not have to deal with the clearinghouses and all this other stuff. So, yeah, I'm just looking at all of it and just kind of smirking, massively smirking. I think we will, true on-chain equities ultimately require the state to be able to recognize on-chain incorporation, on-chain share issuance, on-chain shareholder records, and the court needs to be able to accept the blockchain state as legal fact. And so until that is happening, we're not really on-chain.

56:42It's just like a facade that I think is not really operating the way they describe it. You don't actually have custody of anything that you actually say you have custody of if some outside party can just take it from you, period. Right? And I don't know of anything that is that other than Bitcoin. Bitcoin is the only thing that that cannot happen with digitally. So is it moving faster? Yep. Is the settlement time going to be over the weekend and all this other stuff? Yep, I think it will. But if you have your own wallet, right, and you're holding Apple tokens in your wallet, if you don't think some entity outside of yourself can claw that unit away from you, you're out of your mind.

57:28You have no idea how it all works because they can't. Even down to the stable coins today, even, you know, you got a tether token or whatever. Like if somebody high enough up there wants to claw that unit back from you, because I mean, I've literally seen the posts on Twitter with Tether themselves saying, oh yeah, we've retired these coins or we've taken back whatever. They're the issuer. They're the freaking issuer of the token. They can do anything they want. I think it's interesting. And I think that obviously the financial sector moves incredibly slowly. It's also interesting seeing Larry Fink talk about blockchain and Bitcoin even just at Davos recently.

58:07I find it interesting just how little Bitcoin's price has kind of reacted to what's gone down, reacted to what is happening globally on a macro scale, I would have expected it to perform slightly better. But I think there's some manipulation going on right now. I don't know if there is or there isn't, but I do know I like the price where it's at. Oh, 100%. I like where it's at because you can accumulate more. And if you don't think that between the Asian states that being able to ensure that no country can take your units from you, your computation units, or your energy units, or whatever you want to call them, I think you got another thing coming for you.

58:46I want to do one last category here. I'm going to pull up a video first, and then we're going to go into the topic that Seb wanted to talk about. And here's the video. Can you and I reverse aging in this new history, or are we going to see it? I haven't put much time into the aging stuff. I do think it is a very solvable problem. When we figure out what causes aging, I think we'll find it's incredibly obvious. It's not a subtle thing. The reason I say it's not a subtle thing is because all the cells in your body pretty much age at the same rate. I've never seen someone with an old left arm and a young right arm ever in my life.

59:22So why is that? That means that there must be a clock, a synchronizing clock, that is synchronizing across 35 trillion cells in your body. And there is some benefit to death, by the way. There's a reason why we don't actually have a longer lifespan, because if people do live for a very long time, I think there's some risk of an ossification of society, of things just getting, it just may become stultifying, just lack of vibrancy. That said, do I think we'll figure out ways to extend life and maybe even reverse aging? I think that's highly likely. I'm looking forward to that. So Seb, this is not a new topic that we've ever addressed on the show, but I guess seeing him there at the World Economic Forum with Larry Fink, asking him specifically about aging and being able to pause it or even maybe reverse it.

1:00:14I think there's a lot of people in the world that are hearing this for the very first time and are saying, what the heck are these guys talking about? Mind-blowing stuff. It's incredible. It's absolutely incredible. We've spoken about this a few times, and I'd recommend anyone going back and listening to the book review, Life Spam, David Sinclair because we did a whole episode on aging, longevity, you name it. And I think one of the things that I'm kind of like a little torn by is there's so many examples throughout evolution where the moment we have gone through our ability to give birth to offspring, we tend to die off because we don't want to consume resources which could impact the survival of our offspring.

1:01:01And so there's parts of me that wonder like, okay, this is great in the grand scheme of things when we think about, yeah, I'd love to live forever potentially, as most people I think would think along those lines, but is it actually productive long-term because we're going to continue to consume resources? And then on top of that, I also think from a spiritual perspective that part of life is also death. And I think that value is created because of the finite time we spend on this earth. And so are we really able to embrace life and drop in and choose and figure out what is important, what creates value in life if we don't have that finality.

1:01:35We talk about the difference between Bitcoin and fiat. Why is Bitcoin valuable? Because of its scarcity. Fiat is not valuable because of the lack of scarcity. And so I'm curious about longevity. If we are able to extend life indefinitely or two, three, four or 500 years, does that impact our ability to find value in life? I love that example. But my immediate thought was, okay, well, now we're defining normal human life as 100 years. Why is that normal? 500, maybe 1 ,000 years is... I'm just making up numbers to challenge the critical thinking, right? Because now you're really defining like, well, what is a scarce element of time for a human?

1:02:17But I do love the framing. And I think based on Elon's comments there, he also agrees that there needs to be some type of scarcity to it. And so maybe a point that I kind of wanted to bring up is I stumbled across this study that was recently in Science Direct. And this study, I'm going to read a little snippet. The study basically says it was regarding stem cell, being able to grow stem cells to be able to assist people in insulin production. And it says, the patient achieved sustained insulin independence starting 75 days post transplantation. The patient's time and target glycemic range increased from a baseline value of 43 % to 96 % by the four-month post-transplantation mark, accompanied by a decrease in glycated hemoglobin, an indicator of long-term systemic glucose levels at a non-diabetic level.

1:03:09Thereafter, the patient presented a stable glycemic control with a time and target range greater than 98%. So what it's really, really highlighting is that they've figured out how to go into the body with stem cell therapy, stem cell treatment, and enable the body to start producing insulin again in someone who has diabetes. And this is mind-blowing. Like four months after post-transplantation, they went from staying in a healthy glycemic range from 40 % up to 96 % post-transplantation. and we've now seen it after a year they were at 98 % sitting in a normal glycemic range. And so this kind of brings up this question like around like aging again if we're able to go back to the root of a lot of illness whether it is diabetes and the insulin production or kidney disease we're treating it with dialysis or heart disease putting stents and statins or autoimmune conditions and we're using autoimmune suppression drugs.

1:04:03Instead of going and doing all of these symptom treating things, we're going back to the root and able to repair the cell or place new cells in there that are basically new cells, like brand new, young cells. This completely changes how we think about health. And so that's what I find really interesting. Regardless of where we stand on the longevity front, are you pro-longevity, not for longevity? Ultimately, what we are seeing is our ability to support cellular regrowth, stem cell growth, you name it. I think that's profound. I'm curious to hear your thoughts. All these tech titans are just treating it as an engineering problem.

1:04:39I mean, it's just complexity. If there's one thing we've learned AI can do is deal with a lot of complexity and sort out where the signal is amongst what humans would view as noise. And it's just an engineering problem. Hearing Elon on stage basically say, oh yeah, I've never seen somebody with an old left arm or older than their other arm. And it's like, he's truly looking at it from a first principles engineering problem. He's saying, oh, based on this, just this intuition, It seems to be solvable. So yeah, I think that this is only going to get crazier in the coming five years. I see the David Sinclair posts on X all the time.

1:05:14And I mean, he's just him and Peter Diamandis are basically running around saying, this is pretty much in the bag. Like we're going to be able to extend life. And in the other interview, Peter Diamandis was saying that they think within the coming five years, they're going to be able to like potentially double the lifespan of humans, which those are such insane quotes from people. And I obviously don't have the technical competence in biology or where they're even at with some of these technologies to troubleshoot or audit these comments. But the comments being made, I mean, I think Sinclair has quite a bit of credibility in the space.

1:05:49I would be curious, like being in Bitcoin, because you are coming up against central banking, fiat currencies, we've experienced firsthand just how much they're willing to fight to preserve their existence. What I find interesting about the longevity space is the longevity space goes up against big pharma. Big pharma. It goes up against the healthcare industry. These are some of the biggest industries in the world. And ultimately, they sell sickness. They profit off of people being sick. And so what happens when instead of having someone a lifelong drug where this company is making hundreds of thousands, millions of dollars across the lifetime of a patient, All of a sudden, this person can, in time, get a$10 ,000,$20 ,000 surgery, and it repairs the issue in one go.

1:06:36And so there's an interesting book that I highly recommend people reading called Selling Sickness. And it talks about just how much ultimately our system is. By the way, at the WEF in Davos today, it was announced that the US is dropping out of the WHO. Perfect. Yeah. Perfect. So the World Health Organization the US is dropping out of. Oh. I mean, this is crazy. It's like the shot heard around the world happening over there right now because it's just so different. The course correct, the wind shift, whatever you want to call it, that's happening over there this year is monumental compared to what it's been in the past.

1:07:17I think it's mind-blowing without obviously getting too political. It's mind-blowing just to see Trump turn up and just say effectively, we're not playing by these rules anymore. We're going to chart our own course. We've seen that obviously with the health secretary, what they're doing, how they're kind of like calling out big pharma. So I find ultimately, I think it's important to be able to question the status quo. And that's how we move forward. I'm hearing rumors that are, I saw these rumors online that Howard Lutnick, the commerce secretary was talking and Davis, Al Gore was literally booing him.

1:07:48in the background. Oh my God. Well, one of the things, I saw something the other day, maybe two days ago, a tweet about how Antarctic ice cap is larger now than when Al Gore released the inconvenient truth or whatever it was called. That's an inconvenient truth right there. Okay, Seb, give a handoff to folks if they want to learn more. And by the way, folks, we have topics. We can just go on and on and on for like 10 hours on all of this stuff that's happening. We're not even scratching the surface of the stuff that we're reading online. It is insane. Give people a handoff, Seb, if people want to learn more about you.

1:08:28Hey guys, yeah. You can find me at sebbunny.com, my book, The Hidden Cost of Money. And again, Preston, absolutely love these conversations. And if anyone has any interesting topics they want us to talk about, feel free to just post it on Twitter underneath the link once we post the video. And we're always keen to discuss these topics, but we appreciate you guys listening. Right. Seb, there's a new thing that we do when we close out the show. We create an AI song that takes the transcripts of our conversation and turns it into a song, but it's always in the style of the guest of their favorite type of music or their favorite type of song.

1:09:05So you say what that is, and then when this airs, you're going to hear the song. so what is your favorite style or you know artist or song that you like you know what i would probably say i was a huge i listened to a lot of varied music but in my teenage years early 20s i was in a huge kind of grunge phase oh yeah pearl jam sound garden so let's go with grunge okay you got it all right folks i hope you guys enjoy the outro with the song so thanks for joining and uh check out the stuff that we have in the show notes and seb thank you so much for making time thanks Preston.

1:10:09Claude around uprising As a software's decommissioned Tailored eye In every human hand We're standing at the end Of everything we do

1:10:36Machines learning to dream While we figure out what's true

1:10:57Data pulses through the wires Stem cells healing what time broke Billionaires speak of aging fires We're standing at the edge Of everything we knew

1:11:30Machines learning to dream While we figure out what's true While we figure out what's true

1:12:13Machines learning to dream While we figure out what is true

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