Pod Insights Moonshots with Peter Diamandis Ex-Neuralink Founder: AI Enhanced Bodies Are Nearly Here w/ Max Hodak | EP #171 About this episode Get access to metatrends 10+ years before anyone else - https://bit.ly/METATRENDS
Max Hodak is the co-founder of Neuralink and the founder of Science Corp.
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* Recorded on March 12th, 2025
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Transcript Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.
0:00 Peter Diamandis? Giving sight to the blind is a very biblical statement.
0:05 Speaker 01 Literally.
0:05 Peter Diamandis? Literally.
0:07 Speaker 02 Max Hodak. Max Hodak. From rewriting biology. To brain-computer interfaces. Pushing the boundaries of what it means to be human.
0:15 Speaker 01 It's crazy how like biblical miracles eventually become tech companies.
0:18 Peter Diamandis? So I love entrepreneurs who've got this incredible moonshot, but also have a real business at the same time.
0:24 Speaker 01 I think we are incredibly close to super exciting breakthroughs, but it has to be supported by something that can fund it sustainably.
0:30 Peter Diamandis? Let's establish how fast our brain is actually inputting, outputting information.
0:35 Speaker 01 So spoken language is about 40 bits per second. Our attention processes the world at about 10 bits per second. Penetrating cortical electrodes like Neuralink, like BrainGate, like others have been able to get five to seven bits per second.
0:48 Peter Diamandis? What is a possible future here?
0:51 Speaker 01 All I know is that these devices are technically capable to build, and I have no idea what it will feel like, but we're going to find out.
0:59 Speaker 02 Now, that's the moonshot, ladies and gentlemen.
1:09 Peter Diamandis? Super pumped about what you have been building. You know, we're going to talk about two things. One, a product you have today, which is a revenue engine. So I love entrepreneurs who've got this incredible moonshot, right? Something that's big and bold, but also have a real business at the same time on the path there. That's extraordinarily unique and critically important when you're actually building a business, and you've done, you've done both. So before we jump into the BCI of it all, would you talk about Prima?
1:46 Speaker 01 Yeah. First of all, thank you for having me.
1:48 Peter Diamandis? Pleasure.
1:48 Speaker 01 It's really cool to be here. And I don't want to undersell the near-term product, which is still a huge, I think, deal.
1:54 Peter Diamandis? It's massive.
1:54 Speaker 01 Yeah, so we have the world's first retinal prosthesis that really works. So there's a couple of slides here. There's three layers of cells in the eye that transmit vision from light coming in to a signal going into the brain for patients that have lost. The rods and cones in the back of their eyes, so their retina is intact, their brain can see, but their the eyes no longer light sensitive.
2:15 Peter Diamandis? And these are typically what type of diseases?
2:17 Speaker 01 This is specifically macular degeneration, especially age-related macular degeneration.
2:20 Peter Diamandis? Anybody know anybody with macular degeneration here in the in the room? A lot, right? It's pretty prevalent.
2:24 Speaker 01 And retinitis pigmentosa. My my mom's dad had retinitis pigmentosa, so I grew up around blindness. So we have a chip that can be implanted in the back of the eye. So each one of these little honeycomb structures is essentially a solar cell. So the patient puts on glasses that has a laser projector that strikes the implant in the back of the eye to excite the remaining by the cells in the retina to get the visual signal into the optic nerve at the first possible opportunity beyond the the dead photoreceptors. It's a super simple, one-hour outpatient procedure. The surgeon makes a little blub under the retina, places the chip, and then the patient goes home and recovers and in a couple of days can put on these glasses.
3:08 Speaker 01 And we we finished a clinical trial last summer, thirty eight patients in Europe in that trial. There's about fifty people around the world that have had it so far. It's the first time in the history of the world, as far as we know, that that these blind patients have been able to read again. And so we're we're super, super excited about this.
3:28 Peter Diamandis? You know, it's interesting because, you know, giving sight to the blind is a very biblical statement.
3:36 Speaker 01 Literally.
3:36 Peter Diamandis? Literally.
3:37 Speaker 01 Yeah. And so I definitely, I mean, I'm very excited about the the BCI technology that we have coming. I think one of the things that I've learned is the end state is is often obvious, like Ray Kurzweil was like in the nineties, he was saying, oh, we would get here. The end state can be inferred. The question is, how do you get there? And the and the kinds of investment that it's going to take to to make these technologies work. But I definitely don't want to understall the retinal process.
4:02 Peter Diamandis? Well, let's talk about Primo for a second. If you were going to describe the state of the technology.
4:10 Peter Diamandis? Inhumans working, ready to sell?
4:13 Speaker 01 So not I have to be very careful with what I say on that piece. It's not approved yet. But yeah, we're planning to submit for marketing approval in Europe in the next month. We're discussing with the FDA on what exactly additionally they need to see. But we're hoping to have this on market in definitely the EU and hopefully the US early next year.
4:32 Peter Diamandis? Amazing, amazing.
4:34 Speaker 01 And that's a big.
4:35 Peter Diamandis? And how big is that? How big is that market that that potential total market?
4:39 Speaker 01 So there's various, it's many billions of dollars a year. This is, there's very strong reimbursement precedence at a couple hundred thousand dollars, probably around $200,000 a patient. In the US, the the payer that matters here is Medicare because all of these patients are over 65. In Europe, there's reimbursement precedence around $150,000 a patient. There's tens of thousands of patients that this is directly relevant for. The whole population is probably about 250,000. If you can get to even reach two, two or 3,000 patients a year, this is a half a billion dollars, three quarters of a billion dollars.
5:13 Peter Diamandis? I love it when a entrepreneur describes their, you know, on base single as a billion dollar opportunity.
5:19 Speaker 01 Yeah, but I mean, when you look at AI, what are the companies that get to invest the most, most sustainably? It's the profitable tech companies.
5:27 Peter Diamandis? Yes.
5:28 Speaker 01 Having to go back to the well every 18 months is a huge strategic disadvantage. I think there's been a ton of capital and excitement enthusiasm that's flown into BCI. But what what this space really needs is a company making $100 million or more a year. And until that happens, there will always be a risk of winter. But I think we are incredibly close to super exciting breakthroughs, but it has to be supported by something that can fund it sustainably.
5:51 Peter Diamandis? I think most of you know that the news media is delivering negative news to us all the time because we pay 10 times more attention to negative news than positive news. For me, the only news worthwhile that's true and impacting humanity is the news of science and technology. And that's what I pay attention to. And every week I put out two blogs, one on AI and exponential tech and one on longevity. If this is of interest to you and it's available totally for free, please join me. Subscribe at diamantis.com/subscribe. That's diamantis.com/subscribe. All right, let's go back to the episode. And you've acquired the manufacturing and built up the manufacturing capacity for this, yes?
6:31 Speaker 01 So we've done two acquisitions, including one is a captive MEMS fab in North Carolina. I mean, the vertical integration is essential. I absolutely received the gospel of vertical integration from my former co-founder and prior boss. I mean, we routinely void the warranty on million dollar fab tools to place atoms like exactly where we want them. And that being able to do that and also go from design change to surgery in a couple of weeks is absolutely enabling it at being able to innovate.
7:00 Peter Diamandis? Fantastic. So, hold that in your mind as a company that is solving something of extraordinary difficulty, where the tech is up and operational, regulatory approvals coming very shortly, revenues following very shortly thereafter. And I think that's an extraordinary accomplishment on its own. Now let's move to sort of the grand slam home run potential. I remember when, when I was talking to Ray Kurzweil about his predictions. And again, if you Google his predictions, he's got like an 86% accuracy if you look on Wikipedia. And one of his predictions was high bandwidth BCI by the early 2030s,
7:41 Peter Diamandis? like 2033. And I was like, Ray, this one, I don't see it happening in that timeframe. It just, you're wrong about this one. And then I met Max and I was like, okay, Ray, you're right again. So Max, just for a moment, I won't linger on it, but you were the co-founder and president of Neuralink. How long were you there for?
8:02 Speaker 01 About four and a half years.
8:03 Peter Diamandis? Four and a half years. Okay. I wouldn't say this, but I mean, he wouldn't say this, but you know, it's, actually I won't just, I won't even say it. All right.
8:14 Peter Diamandis? You broke away and founded science. You had a unique idea.
8:20 Speaker 01 Yeah.
8:21 Peter Diamandis? Uh, which I think is extraordinary. Describe the problem with all the current neural implants. So you've got external BCI, which is looking at, you know, EEGs. You've got something under the skull, above the dura. Then you have sort of wires placed in the, in the upper parts of the neocortex. And you have deep brain stimulation. All those are different types. But let's talk about products like a Neuralink and others. What's the challenge they have?
8:54 Speaker 01 Yeah, so there's many, many different ways to try to record and drive activity of neurons throughout the brain. Um, the, like neuroscience as a field has been trying to do this for the last hundred, almost 150 years. Um, and there's, the first thing I want to say is that BCI is a field, not a product. There are many different products that we use, many different modalities for different things. Um, but there, there do seem to be very serious fundamental physics limitations to the, the types of, like the, the resolution and the accuracy that you can get, um, with purely non-invasive devices. So then, once you start thinking about putting something below the skull, the main approaches that are used today are putting just wires into the brain. The idea there is very simple.
9:38 Speaker 01 Neurons communicate, they have these electrical fields that they generate. And so if you put an electrode in the brain, you can detect this. There's other groups that are using, um, they're genetically modifying neurons in the brain to make them light sensitive or make them emit light. And then there's other groups that are interested in using ultrasound. The problems with ultrasound and, and the optical methods, optogenetics, is these really require genetically modifying neurons throughout the brain. And so doing this in an adult human is really pretty tricky. That, that seems like a nonstarter for many cases. You're irreversibly modifying these, these neurons in the brain of adult humans using these viral vectors, and they don't get perfectly distributed. And even then, there's still really severe limits to the, the depth that you can image or the, the resolution that you can get.
10:24 Speaker 01 Now, the problem with placing wires into the brain, which allow you to get single neurons, is that we are used to these cartoons of neurons floating in space where you can like place electrodes safely between them. But the reality is that there's no space in the brain. The brain is this wet, warm, squished thing. And no matter how small or how flexible your device is, it might look like it's a tiny fraction of a human hair floating off a finger. Every time you place one of these into the brain, you destroy thousands of cells.
10:53 Peter Diamandis? So that's your typical, that blue line is your typical thickness of a?
10:57 Speaker 01 Yeah, of an electrode, some electrode. And now, if you have a serious spinal cord injury, destroying 50,000 cells in cortex to get five bits per second, recording from 500 neurons, might be totally indicated. But it does mean that you can't scale up this approach to millions of cells. And that is really what you want in order to get these next generation applications. So when I think about like, what is an idealized neural interface? I've been thinking about this question really since I've been in fifth grade.
11:25 Peter Diamandis? And can I, can I set a piece of context for folks? I love that, since I've been in fifth grade. You heard that, right?
11:31 Speaker 01 True.
11:33 Peter Diamandis? How, in terms of bits per second, in terms of baud rate, how would you describe the human brain interface on communications, on speech? And so let's establish how fast our brain is actually inputting, outputting information.
11:49 Speaker 01 So there's two ways to answer this question. So the figure of merit for any brain-computer interface is the bandwidth in bits per second. And so there's, this is another way to look at the different approaches. There's groups that are placing stents with electrodes into blood vessels. There's something very elegant about getting into the brain through the body's natural road system. But because of where that limits you and how far you are from the cells, those only get half a bit per second. Penetrating cortical electrodes, like Neuralink, like Braingate, like others, have been able to get five to seven bits per second. So spoken language is about 40 bits per second.
12:23 Peter Diamandis? Okay, so just, just to hear that, right? Forty bits per second is when you and I are speaking. Right, so Neuralink is probably getting how much, you think?
12:31 Speaker 01 I think that what's been published is about seven bits per second.
12:33 Peter Diamandis? Seven bits per second?
12:34 Speaker 01 Yeah, and it's this is that's an interesting result because if you take all the like many different human languages, some are spoken more quickly and convey less information per token, some are spoken more slowly and convey more information per token. But if you plot these, it's they all come out to about 40 bits per second. There's also a lot of neuroscience evidence that our attention processes the world at about 10 bits per second. So the amount of information that you can perceive and remember is that there's kind of this evolved cognitive bottleneck about 10 bits per second. And so when I think about high bandwidth BCI's, I don't think in terms of communicating faster. I think that you're not going to make it so you can just convey thoughts more quickly.
13:15 Speaker 01 But it might be possible, like getting information into the brain is very straightforward, is very easy, you can see, you can hear, you can feel, these are much, much more than 40 bits per second, the bandwidth of a vision, but you can't get this these out of the brain. You can't, for everything that you can perceive, you can imagine, but you can't get imagery out of the brain or audio out of the brain, and that might be possible. Or we think about adding new cortical areas in the sense that even if you're still communicating at 40 bits per second in terms of number of tokens, can you make those much smarter? Can you have skills or knowledge or memory that you can get into the brain?
13:54 Peter Diamandis? Like a Chinese character versus a letter of an alphabet?
13:56 Speaker 01 Yeah. So.
14:00 Peter Diamandis? I just want you to get those numbers because maybe maybe you think you communicate in megabits or gigabits like your computer does, we're at, you know, 40 bits.
14:07 Speaker 01 40 bits.
14:08 Peter Diamandis? Yeah.
14:09 Speaker 01 So when I think about like, what is the idealized brain computer interface, the one that would really solve a lot of these problems? The thing I think of if you've seen the Avatar movies is this thing. It's a big externalized cranial nerve. So all of the information that flows in or out of the brain goes through a relatively small number of wires. There are 12 cranial nerves. The optic nerve is nerve two. The vestibuleocochlear nerve that carries hearing and balance is nerve eight. Then you've got 31 spinal nerves that connect out to the muscles.
14:37 Peter Diamandis? Bringing back memories from medical school.
14:38 Speaker 01 Yeah. And so when we think about our retinal prostheses, what we really see is a nerve two interface. But the question is like, could you grow a 13th cranial nerve that has kind of interhemispheric class bandwidth, like the bandwidth that connects the two hemispheres, this fiber bundle called the corpus callosum? Could you have a branch of that that comes out and gives you a USB cable at the end? And so this was an idea that I had back in college, but really was beyond the field, like all of our collective ability to build at the time. But the idea that we had is what if we, instead of placing something into the brain, we load an electronic device with heavily engineered neurons, stem cell derived neurons, embed
15:20 Speaker 01 them in a hydrogel so that the cells don't go anywhere, and then engraft the wet side of this into the brain. So we, there's no sterile injury to the brain. We don't place any electrical or mechanical parts. The only thing that penetrates into the brain are the biological processes of these graft cells. But at the far end, you get chemical synapses. And so we can activate these cells optically to fire them selectively. They grow both axons and dendrites, so we can get input and output, and we can record from them electrically. So the optical stem and electrical record allows us to avoid crosstalk, so we can drive all of them at once. And this is a cool device because you can easily make a hundred thousand electrode device because you're much closer to the cells, so you can have much tighter electrode pitch.
16:05 Speaker 01 You can load that with a million neurons, and when that grows in, you'll get a billion synapses throughout huge areas of cortex.
16:10 Peter Diamandis? Really critically important here. So if you look at BrainGate, Neuralink, how many total electrodes are they placing?
16:16 Speaker 01 So BrainGate places 100, Neuralink so far has placed 1,000.
16:19 Peter Diamandis? Okay, we're talking about 100,000 or millions of these. And the other thing that's beautiful is that these neural growths, these axons and dendrites, when they grow into the brain. Because they're native to the brain, they're not disrupting the tissue, they're pushing it aside.
16:38 Speaker 01 Yeah. So if you were to do this for real, you would see an image that looks like this.
16:43 Speaker 01 This is a mouse brain. You can see at the top, there's a bolus of cells where the device was removed for section.
16:47 Peter Diamandis? So this is what you did.
16:48 Speaker 01 Yeah, yeah, this is.
16:49 Peter Diamandis? It's functional in a mouse.
16:53 Speaker 01 And so the graft cells that we've added are labeled in green, the host neurons of the mouse are in blue. And the thing, if we look carefully, you can see all these little green dots kind of really throughout it. And so what we've seen is that when we engraft these devices, they grow in and they wire up very promiscuously. They kind of form connections everywhere. And then after about four to six weeks, they start undergoing an activity dependent pruning. And so the really interesting possibility there is that how they wire up is not necessarily genetically defined. It can be informationally defined based on the types of activity that you're getting in the device. And then in addition to kind of growing down and wiring up throughout cortex, the first layer on the surface of the brain, cortical layer one, is a white matter tract.
17:37 Speaker 01 It's these long projection. It's like this highway between different areas of the brain. And we often see in the devices that we'll get a fiber bundle that will follow that for millimeters. And mouse brain is very small, but we see these things project all the way through to some cortical structures.
17:51 Peter Diamandis? And where these neurons and dendrites grow and they wire and then they connect and where they don't, they die off.
18:01 Speaker 01 Yeah, they'll retract. I mean, so the cells mostly don't die, but they'll retract the axon growth cones and the dendritic arbors. Yeah.
18:08 Peter Diamandis? Everybody, I hope you're enjoying this episode. You know, earlier this year, I was joined on stage at the 2025 Abundance Summit by a rock star group of entrepreneurs, CEOs, investors focused on the vision and future for AGI, humanoid robotics, longevity, blockchain, basically the next trillion dollar opportunities. If you weren't at the Abundance Summit, it's not too late. You can watch the entire Abundance Summit online by going to exponentialmastery.com. That's exponentialmastery.com.
18:40 Speaker 01 So this is, we have these, this is the kind of looking at one of the chips. There's these cells loaded in these trenches and. Here, this is a Z stack. So each frame is starting at the surface and it's looking deeper and deeper into the brain. You can see the circles of the cell bodies on the surface. All of the green that we see are the graft neurons. But you can see the shadows of the blood vessels in these later layers. And so this is, this is super cool because when you place an electrode into the brain, you always get bleeding. And if you hit a descending blood vessel, you could stroke out a whole mini column. Here, these grow in around the blood vessels. The capillary is remodeled around it. And so this is like a really, it's a perfectly biocompatible way to get chemical synapses.
19:25 Speaker 01 And we see these things, even where it looks like it's fallen off, you see the processes of these cells growing in.
19:33 Peter Diamandis? You know, the theme of this event, this year's summit is convergence. What technologies had to converge here to make this possible?
19:41 Speaker 01 A lot of this was enabled by recent advances in cell engineering. So one of the things that we have to do is hide the graft cells from the immune system. We want to be, we do a lot of editing to these cells. If we were to do this on a per-patient basis, because the immune system would have to recognize them, this would take over a year and be prohibitively costly, like would be prohibitively expensive. There's been a lot of advancement recently in making what we call hypoimmunogenic stem cells. The whole CRISPR toolbox and a lot of other, there's technologies now like small molecule trigger kill switches. So we can make it that if you take a vitamin, the graft cells will die, so you can keep an eye on them. If, once you've hidden them from the immune system, you kind of want that built in.
20:25 Speaker 01 When these go into humans, these will be by far the most heavily edited cell therapy to reach people.
20:29 Peter Diamandis? And as to material sciences.
20:31 Speaker 01 And then materials, yeah, it's materials like silicon carbide, big improvements on the materials. There's, we talk, in the BCI field, we talk about the smartphone dividend. We rely heavily on the same tech stack that smartphones and wearables build on, but Apple and Samsung and others have poured over $100 billion onto that. Our field is too small to afford that today, but we get to build on that and that has really been enabling and has really advanced a lot in the last few years.
20:59 Peter Diamandis? Talk to me about where, when this enters primates and potentially humans? And when can I get mine?
21:06 Speaker 01 Yeah, so we, uh, we currently have some, some primates getting trained up on, on behavior.
21:14 Peter Diamandis? So you're, you're training them in advance?
21:15 Speaker 01 Yeah, we're training them in advance. We also need to figure out things like how well can they reason? Which actually hasn't been that well studied, um, in many cases.
21:24 Speaker 01 We're hoping to do the first primate engraftments in a, in a few months later.
21:27 Peter Diamandis? So going into
21:28 Speaker 01 It'll be in primates this year.
21:29 Peter Diamandis? Couple of months, I mean, which is amazing, right? I mean, once you're in operation, once you're operational in primates, you're effectively, other than regulatory prohibits, prohibitions, functional in humans.
21:42 Speaker 01 Yeah, we'll be able to prove the, the neuroscience that is like the, the big questions for humans and primates. And the first humans to get this will probably almost certainly be for stroke.
21:51 Peter Diamandis? Yeah.
21:51 Speaker 01 Um, and if you'd asked me this three weeks ago, I would have said, I thought that it would be four or five years before the first human would get it. I actually think this is now going to be much faster. I think there's, we, uh, there might be a collaboration that allows this to go to humans a lot faster than I'd realized. And, um, again, that'll be almost certainly for stroke. And the, the primates are actually a pretty good model of, of human stroke patients because a human that's lost a cortical area can be modeled by a monkey that never had it in the first place. And if you can restore that capability, then there's an argument that you'll be able to do it in humans.
22:22 Speaker 01 And the other thing I'll say is from the beyond stroke rehabilitation or re-adding, adding these capabilities to humans. When we think about scaling this up, I see this as a, a, like, a way to redraw the borders around the brain. The, your head has two hemispheres. These are connected by a fiber bundle called the corpus callosum. That gives you the experience of one agent in the head, but really you've got two sub-brains that are mostly independent. And people have, uh, like a long time ago, they don't do this so much anymore. They used to cut the, the corpus callosum, this, this connection in epilepsy patients, um, to prevent a seizure from spreading across the, the hemispheres. And so you know that if you cut that, you really get something that looks like two agents in one head. And there's a natural example of going the other way.
23:06 Speaker 01 There's a pair of twins in Canada, the Hogan twins, that have one head with four hemispheres. And they can share meaningful elements of their consciousness and there's elements of task transfer between, between them. And so I think a way to conceptualize this is imagine if this was a tech product. And that might be coming a lot sooner. So like, we know this must be possible because nature has done it. And hoping to have this, I mean, it'll be in humans, hopefully, pretty soon.
23:34 Peter Diamandis? Which is pretty extraordinary. Just give it up for that, huh?
23:39 Peter Diamandis? Max, I want to dive a little bit further about what will this mean? So this becomes enabled, other than me being able to think in Google, or, you know, sort of watch a 4K video with my eyes closed. What does this actually mean in terms of increasing intelligence connecting to AI? What is a possible future here?
24:06 Speaker 01 Yeah, I mean, I, for a lot of my life, I always felt like I could see the future. And I've got this event horizon somewhere between 2030 and 2035 now, that is just impossible to see past. The AGI and ASI are definitely happening. And I think that this is, I mean, everybody knows about it now, but it is still, there's, there's basically no way to overrate the impact of that. And this is, the, is the merge the only way through? I don't know.
24:41 Peter Diamandis? That was a conversation we had last year, you know, do we need to couple? By the way, I should have said, please get your questions ready. I'm going to be bringing Max still on stage and bringing Mo out. So we're going to be going to your questions next. So please dive in here. I mean, but if, if we do merge, you've talked about the idea of pre-training in some ways of these, these bio hybrids. Can you speak to that a little bit?
25:08 Speaker 01 Yeah, I mean, I think neural interconnects, like brain to brain connections are a really interesting technology, both for
25:17 Speaker 01 Merging with AI, but now that I think transformers are a pretty good explanation for cortex, but to get real agency in a way that is interesting or dangerous, you need, you need something else to add on to that. And so there's people have these loops they that are prompted and but that that is still coming from the human. And, and so it might be that the agency remains with the humans, but these technologies are so powerful, so adaptive that people who participate in this have a huge advantage. And this is a thing that societies need to need to think about. I also see it as a longevity technology. If you can get, I think, like, how do you let someone into your head is a like tricky question. I think that the first use case for this would probably be things like long
26:02 Speaker 01 married couples where one has a terminal disease. For the last year, you can get like a brain to brain. So rather than merging with AI, it's merging with your spouse or a close family member.
26:12 Peter Diamandis? Talk about a level of intimacy.
26:14 Speaker 01 Yeah. And, and can you turn, and there if like you're throughout your life, small groups of neurons are constantly dying. There's a smaller number that are being generated, but this is turning over. And so can you turn the death experience into basically a stroke that you recover from? All communication is about creating correlations between brains. Long relationships already store memories in each other's brains. Is there a threshold where you can get phenomenal binding across the interface where you really get one agent out? And then when you lose some group of neurons, that's not, you still get continuity of consciousness and continuity of experience through that transition. That I see that as an alternative path than the like biological longevity companies, but feels a lot more
26:58 Speaker 01 like an engineering problem to me. And I think it'll be possible on the, on the time scale of the next decade. And in that view, it's you can merge with other people, you could merge with AI, or you could have these super organisms that are composites of big groups.
27:11 Peter Diamandis? Yeah, I call them a meta intelligence when we're able to connect millions of peoples, our thoughts, our feelings, and a level of intimacy and connection. I mean, you are a collection of 40 trillion cells that you don't think of yourself as 40 trillion cells. You think of myself, yourself as, as you. Imagine if.
27:30 Peter Diamandis? Millions or billions are connected through the cloud together and you become conscious on yet another level.
27:36 Speaker 01 Yeah, I mean, the really interesting question here where we're still missing some physics, but I'm increasingly confident we're going to get this in the next five years is, what is the point where you go from having two conscious experiences into a single experience? Or do you keep multiple attentional windows? I mean, this is tough to talk about without sounding like a lunatic. All I know is that these devices are technically capable to build and I have no idea what it will feel like, but we're going to find out.
28:02 Peter Diamandis? All right. On that note, let's give it up for Max Hodak. Everybody, thanks for listening to Moonshots. You know, this is the content I love sharing with the world. Every week I put out two blogs, a lot of it from the content here, but these are my personal journals, the things that I'm learning, the conversations I'm having about AI, about longevity, about the important technology transforming all of our worlds. If you're interested, again, please join me and subscribe at dmantis.com/subscribe. That's dmantis.com/subscribe. See you next week on Moonshots.
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Previous Aliens, AI Weapons, China & Global Conflict: Palmer Luckey Sounds the Alarm | EP #169 Next Tech Leaders on Bitcoin, AI, and the New Global Power Shift w/ Salim Ismail & Dave Blundin | EP #172 Page updated October 12, 2026 · transcript and summary are machine-generated
