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Podcast Summary: Moonshots with Peter Diamandis - Episode 85
Episode Title: First Neuralink Implanted & Where Other Tech Giants Are Headed w/ Salim Ismail Release Date: [Insert Date] Hosts: Peter Diamandis & Salim Ismail Duration: [Insert Duration]
Episode Overview In this episode of *Moonshots*, Peter Diamandis and guest Salim Ismail dive into groundbreaking technologies in robotics, generative AI, and Neuralink. They explore the implications of these technologies on humanity and discuss the future of brain-computer interfaces, humanoid robotics, and the potential for a society driven by exponential technologies.
Key Concepts and Discussions
- Investment in Humanoid Robotics
- Financial Commitment: Microsoft and OpenAI are reportedly investing $500 million in humanoid robotics, particularly focusing on Figure AI.
- Industry Growth: Companies are prioritizing technology investment over hiring talent due to advancements in AI and robotics.
- The Future of Robotics
- Robotic Surgeons: Discussion on how AI and robotics will transform healthcare, with robots potentially performing surgeries better than human surgeons by learning from vast data sets.
- Humanoid Robots: The hosts debate the necessity of humanoid features in robots, arguing that many tasks may not require human-like form.
- The Uncanny Valley
- Definition: The term describes the discomfort humans feel when seeing robots that look almost human but not quite.
- AI Learning: Generative AI is enabling robots to learn tasks by observing humans, which may help bridge this valley.
- Neuralink and Brain-Computer Interfaces (BCI)
- Recent Developments: Neuralink has successfully implanted its first chip into a human, marking a significant step toward high-bandwidth BCIs.
- Potential Applications: Enhancements in cognitive abilities, telepathy, and the prospect of a 'hive mind' consciousness are discussed.
- Exponential Growth vs. Linear Extrapolation
- Mindset Shift: The hosts emphasize the importance of recognizing exponential growth in technology versus linear predictions, particularly regarding AI and robotics.
- Impact on Society: The conversation touches on how these technologies could lead to a future where humans are augmented by AI, changing the way we interact with technology and each other.
- Predictions and Speculations
- Future of Robotics: Predictions include the possibility of 1 billion humanoid robots by 2040, with their roles in various sectors such as agriculture and service industries.
- Brain-Computer Interface Evolution: The idea that BCIs could enable direct communication with devices and even each other, leading to unprecedented enhancements in human capability.
Conclusion This episode serves as a rich exploration of the future of technology and its potential to fundamentally alter human life. Both Peter and Salim express excitement and caution regarding these advancements, highlighting the ethical considerations and the need for responsible development as humanity stands on the brink of this technological revolution.
Key Takeaways
- Investment in Robotics: Significant financial backing is shifting toward technology rather than human resources.
- Humanoid Robots: Their necessity is debated, with emerging use cases suggesting diverse applications.
- Neuralink Progress: Groundbreaking developments in brain-computer interfaces could redefine human capabilities.
- Exponential vs. Linear Growth: Recognizing the rapid pace of technological advancement is crucial for future predictions.
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Additional Resources
- Fountain Life: [Fountain Life](https://fountainlife.com/peter/)
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- Abundance360 Summit: [Join Here](https://www.abundance360.com/summit)
- Weekly Tech Insights: Sign up for Peter's newsletter on exponential technologies.
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*Note: This summary captures the essence of the podcast episode while providing insights into discussions and predictions made by the hosts.*
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00I'm NFL Lineback at Tijayawatt and this is my personal best. YPB by Evercrombie is the active wearer I'm always wearing. That's why I reached out to co -design their latest drop. I work with designers to create high -performance active wear that holds up to my toughest workouts. Shop YPB by Evercrombie in -store online and in the app because your personal best is greater than anything.
0:31When did making plans get this complicated? It's time to streamline with WhatsApp. The secure messaging app that brings the whole group together, use polls to settle dinner plans, send event invites and pin messages so no one forgets mom's 60th and never miss a meme or milestone. All protected with end -to -end encryption. It's time for WhatsApp. Message privately with everyone. Learn more at WhatsApp .com. We're literally within a site of that type of abundance where every single person on the planet can be fed and clothed and at five years or ten years or twenty years. I think we're within five years.
1:13Now things get really interesting because you get a distributed intelligence that can be applied, learn once and apply a million times. Every percent increase I can increase my brain processing power. That's just a game changer. The ability to think things into existence is going to be powerful. People forget that scaling things as an engineering problem, not an invention problem. Once you figure out the invention of it, then the scaling is actually not that difficult. We tend to make linear our future extrapolations, even though we're faced with this amazing exponential growth. Welcome back to Moot Shots, Peter D.
1:52Amanda's here. This is my favorite segment of the month. It's WTF just happened in technology with my dear brother, Selene Miss Mail. We're going to be looking at what just happened in the news and what's hot and what we think of it. Let's jump in, Selene. Welcome, pal. Good to be here. Good to be back. Yeah, I mean, it's a blinding speed. And I don't know, I'm having a blast. Well, I think it's just so interesting. Every day you've known you, what's going to feel like your mind is blown every month or two with something that happens. So you almost want to do this more often than monthly, just because there's so much going on.
2:32OK, so I'll call you every morning. Lily will be really upset at me. But it really is. I mean, I literally wake up. The first thing I do is I look at my Google News, I look at my, I gotta say Twitter stream. I did a podcast with Elon and I'm like, you know, it's like, do I call it? What do I call it? I act, looking at my extreme, I guess. It's like it will eventually flip our neuron. We will eventually let go of Twitter, but he needs to give us something to hold on to. That's right. I think it'll happen when he's doing payment processing. For me, the thing that's going to be a game changer is when he allows, turns every crypto user and gives every ex -user, a Twitter user, a crypto wallet.
3:19Yeah, for sure. And that's going to be an inflection point. It'll be instantly the biggest bank in the world. Yeah, I mean, it will give you a, an ex will give you a sovereign identity and a wallet and an interface to all crypto and NFTs and everything you own and it will be the everything. It'll make Amazon look like really small potatoes. So I would never, you know, people say, you know, would you bet on Elon and stuff? I would never bet against him. Well, this is the key point, right? People complain about it. And I have my, I have my big beefs about Twitter and, and what's going on there. But when he looks, when you talk to him about that in the Hermes, speak about that.
3:59And he says, I'm, we're swinging for the fences. And we meet throughout a bunch of features that don't work. But one out of five could be home run and then off you go. And that's just awesome. So I teed up a few fun news items that really like snap my gaze. Here's the first one I found amazing. This year, Google was spending more on compute than people. So Google invests 30 billion on data center expenditures and Microsoft 50 billion, insane, right? So it's another tipping point is the amount of chip compute over brain compute on the planet. And I think we passed that or about to pass that. The amount of processing power, resident in 8 billion brains, which is 100 billion neurons per brain, 100 trillion synaptic connections per brain.
4:52I mean, just a lot of zeros. But the year seeing the chip compute exceeds the brain compute globally. I think it's either a repass that or it's very close. And people, so this is fascinating. So if you're a tech company, where do you spend your next 100 ,000 or your next 100 million? Do you hire smarter people or do you spend it on tech? Well, I think you spend it on tech and you go to that comment, we had the other week where we said you can now build a billion dollar company with three people. Yeah, right Sam Altman just said a one person with a billion dollar company by the way. Yeah, so I mean You know, it's just shrinking to to absurd levels and the value creation I think deliver for our for our moonshot listeners your goal take a moonshot is it's a billion dollar company One person or a hundred billion person with company with three people.
5:45I mean it's the other flip side of it Is are we about to demonetize the the economy? Well, money has that much less meaning. I think this speaks to your abundance concept, right? Like once you have abundance, then money does kind of doesn't matter. Yeah. And everybody has a lot of whatever they can tip. I think I don't know why we can't flip as quickly as possible into like a burning man type economy, which is a gift and can economy. And if you need stuff, where your scantily cloth, well, at least the weather, if the weather provides it. And then you manage it. It was the mud economy. It was like the economy at Burning Man this year during the rain was plastic bags to wrap around your sneakers.
6:29So that you can actually make it through the mud. Yeah. I mean, yeah, and those are, you know, very high -class problems. But I think as we deliver more and more, you know, imagine a little community in the western Sahara, right? You have water extraction out of the atmosphere. You have satellite internet by Starlink. You have energy production by solar, you have local batteries, protein production, the vertical, multibank, and the multibank. Microgreens, which are like you kind of don't need much else. And I think we're literally within a site of that type of abundance where every single person on the planet can be fed and clothed and have years, 10 years or 20 years.
7:12I think we're within five years. That's interesting. You know, of course the endpoint when I was at MIT is a undergrad grad student. There was a guy named Eric Drexler there Sure, of course. So Eric wrote an amazing book I'm so proud. I was credited and the opening notes of that book that I reviewed his draft It's called The Engines of Creation. Yeah, and he talks about the future of nanotech. Yeah, right where Where we have assemblers and an assembler for those who don't know because you had you know having red engines accration or you don't know, you're not a geek or enough of a geek, but most people listening this are.
7:52And assembler is a little micro a molecular machine that can pull a carbon atom from here, you know nitrogen from here, silicon from here, and build things on an atomic level. And so if I have an assembler in my hand and I command it to you know generate a copy itself and I give you one. Now you've gotten a assembler and I have an assembler. Now I take my assembler and I throw it in the ground and I say, build me an electric Ferrari. And it says, okay, I'm going to get the design. The data is open source, it's free. The energy to build it is from solar or fusion. It's effectively free. And then it's really the material cost.
8:36And you may need to throw it a chunk of titanium or lithium or something. but all of a sudden stuff becomes really cheap. Well, I remember Ralph Merkel talking about this. Yeah. And he said you should be able to build anything for about a dollar a pound. Yeah. Ralph was one of our faculty members in the Nanotech field at Singularity University in the early days, really in Guy. Yeah. Absolutely. And more famous because I remember if you know there's been one of the lectures, somebody said, are you Ralph Merkel from Merkel hash trees? And Merkel hash trees are the basis of Bitcoin. Yeah. It's the one way encryption and he goes yeah, that was me, but that was like you know decades ago So in the 1980s he conceived of Merkel hashries which then 30 years later So I actually did a session with them about about two years ago a huh an interview Yeah, I said were we going with computation?
9:26Yes, and he goes oh, I'm working on a paper that for thermodynamically reversible computation Which means you take the heat out of the computation And I said, how do you get there? He was, well, if you do computation using molecular bonds to form the 1s or 0s, you essentially can read your right and then you don't generate any heat. I'm like, OK, and what will that give us? He goes, oh, 10 orders of magnitude on top of this, the transistors per square -unly meter, at least. 10 extra zeros. Morse law is another 10 orders of magnitude, just from that. And you're like, OK, in terms of a bridge to quantum or whatever, like this is so, this is, you know, people could worry that we're running out of computational capability and you talk to Ralph and it just goes so far past what you're thinking.
10:15And this is the, this is where people kind of really lose their way. They get so stuck on, oh, Silicon chips can only do over so much. And then you have to go to them and go listen, we have Perafska coming, which takes a widely abundance like a salt. Love Perafska. And they're just working on that, how to scaling it. And people forget the scaling things as an engineering problem, not an invention problem. Yeah. Right. And once you figure out the invention of it, then the scaling is actually not that difficult. And, you know, it's like, you know, nothing can go past the steam engine. Nothing can travel faster than a horse or a train.
10:48It's over and over again. I mean, when do we actually figure that out and stop saying never? It's insane. Well, Ray figured it out a while ago. Yeah. It occurs while. It occurs while on the rest of us are kind of catching up to it now. Yeah. Right now. So here's another story from the news this week. And this is a company in Silicon Valley called Figure. Full disclosure, my venture fund is an investor in figure. And there's a whole breed of humanoid robots coming out. I wanna talk about three of them. And the gentleman who is the CEO of Figure has built a number of moonshot companies previous to this.
11:33But here's a quick video clip of figure making a cup of coffee. Let's check it out. Can you make me a cup of coffee?
11:54Okay.
12:09That might not look as impressive as it is. I was talking to Brett Adcock, who's the CEO. He's the moonshot entrepreneur in here. He was talking to me about a day where they went from programming this to how to move the joints and so forth. To the day they had generative AI, I watch a human do that thing over and over and over again. And the gender of AI model is what the software that drives that thing. Right. So what we're seeing is basically a neural net inside this robot watching and learning by repetition, which is the way kids learn. Yeah. Yeah. So I have an issue. All right. But before, let me show you one other news.
12:58So this came out today. And this is Microsoft and OpenAI in talks to inject $500 million into humanoid robotics in particular with figure AI. So I don't know what your issue is, but Microsoft and OpenAI think it's worth a half a billion dollars of injected capital. So tell me your issue now because this is my defense mechanism. That's fair to me. You know, when you talk about, there may be lots of classes of applications where robots, humanoid robots are really valuable. Mining applications where it's really dangerous or toxic environment, for example. Bringing me my dinner. But, no, I think that's where it falls down.
13:35So let me give you the example. The robot or the case study? The anecdote here. So take a Rumba vacuum cleaner robot, okay? Okay. Once you use a Rumba for a while, you stop using it. Why? Because you still have to go and prep the room for the robot. You have to pick up all the calendars, off the things and dada dada dada and it gets stuck on slanted things. There's like a hundred little things that you must have an older robot. And by the time you finish kind of configuring the room, you might as well just vacuum the room yourself, right? This is the same difficulty with self -driving cars where and and and and God knows I'm one of the people that die I'm dying for the self -driving cars.
14:14Okay, so listen, you get a Tesla. And by the way, I've got a Tesla that I've driven four times reminding the Toronto or New York and back. So I've crossed the country. Maybe the one of the longest distance driving Tesla drivers owners anywhere in the world. I've done 10 ,000 miles back and forth. Now, it's incredibly valuable getting on the highway, hitting the button for autonomous mode, and then beating a shwamaka. But you don't have the self -driving beta right now, right? Which I do on my Tesla. This is just a straight autopilot. I know. And so the self -driving mode will take me from door to door without me touching it.
14:50a few moments of being a little bit nervous, but it works amazing. Yeah. And Phoenix now has self -driving taxis, Waymo, etc. And it's coming. But look how long it's taken. We first positive that in 2012, 2013, that within five, six years, you'd have a large percentage of meaningful percentage. Yeah, we were off by that. And here's why. Okay. You want more slow. No, no, it's the fact that driving, which is moving around in a physical environment is just inherently very hard. You drive, you move, weave a little bit to avoid a pot, I live in New Jersey, okay, there's potholes and my apologies, okay.
15:30And you weave around a pothole, a self -driving car doesn't see any of that stuff, okay. And so there's lots of little things that it'll get there eventually. But it's like the rumors, just going to take a long time before it gets to the point where it can handle those things. There was a change this year, pal. There was a fundamental change this year. So I still So I call it the that's my version of the uncanny valley for robotics is like dealing with these stupid niggly So what's the uncanny valley the uncanny valley is Adapted physical adapt adaptation to local physical phenomena is just a really difficult task Can I go back and tell a story about Dan Berry here?
16:08Yeah, so Dan Berry was an astronaut faculty member Yeah, he was alone five times. Yeah, so he was building this post -action. Yeah, and he was building robots he was trying to build intelligence robots. And he was like talking about intelligence, et cetera, et cetera. And his wife, who's a neuroscientist, says, you're an idiot, come outside and let me show you something. So they go outside and she's like, show me everything with the brain and everything that doesn't have a brain out in the garden in the woods. Okay. And he's like, well, I don't know, like this world has a brain, da da da da. And she said, it's really simple.
16:40Anything that moves around in the world has a brain. Anything that doesn't move around in the world, like a tree, it doesn't really, it may have a nervous system, except, but it doesn't have a brain in the classical sense. It seems we've evolved brains purely to adapt to moving around in physical space. Okay. There's an amazing animal called a sea squirt, which in its larval stage moves around the ground and filter and moves around catching things, etc. And has a brain. Then when it, graduates to being an adult, it plants itself on a rock and it filter fees from them on. Like a lawyer. Like, and the first thing it does when it Phil, plants itself, it eats its own brain.
17:15Like a lawyer. It eats its own brain, and now it never needs a brain anymore. So it turns out to have a brain, the reason we have brains is to move around in the physical domain. I think that, in fact, it's a great distinction. There's a lot of individuals who feel like we don't have full on AI until we embody AI's into physical robots. Yeah. Now, there's lots of ways of doing it. Like if I had a robot that I was kind of transporting into or bridging into, right? And I could move with my horns, like the Avatar XPrize thing that you had. And there's models like that. There's other models where, no, I did get very excited when we were talking, when we first saw the backster robot.
18:00I move a backster. Right. Now I got super excited for a specific thing because I have a computer science software development background. If you used a program in industrial robot to say pick up a widget, turn 90 degrees, move over here, turn back, put it down type of thing. You had to program every step in your path and it took a long time. Hundreds of instructions just to do this little thing, okay? And with Backstool, you could move its arms and show what to do, stop picking, whatever. And it would then go, oh, I get it. And it would just do its own thing. And I thought that was a massive step change, which is roughly what your reference is.
18:31Well, it's actually a step further here. So for example, Tesla this earlier in 23 announced that they had replaced 300 ,000 lines of computer code and C++ with 3000 lines of a large language model. And so basically they used all of the self -draving data to train a model, to look for the potholes, look for this, look for that, and do it. and it's doing amazingly well. And full credit, yes, Elon was six years off from what he promised, but it's getting there. It's happening. So I'm excited. I would like to see the, for me, it feels like the use cases are not clear for you. Dude, I totally disagree.
19:20Hold on, let me give you one last. So I remember Boston Dynamics had this robot horse, right? I remember that was called Big Dog. Yeah, and it was amazing watching this thing and the generations of it was a pack -ass it was a pack animal It was a pack animal yeah and and it cost like three four hundred thousand dollars for this thing Okay, and somebody has Brad Templeton. What do you think of that? And he's like great, but if I wanted to horse I'd get a male horse and a female horse and a breed Oh, I'd breed a horse at almost zero cost right give it a bit of hay and you've got a horse Why do you need to build a robot horse, right?
19:53So I think we, we, and this is like, it's, for me, this feels like when we move from radio to TV, the first thing that people did was read radio scripts on television. Right? Because they didn't have the imagination to have TV series and sitcoms and drama series and do acting. Listen. So for me, hold on a minute. So for me, it feels like we've moved into, okay, we have human or robots. Let's do what human beings are doing. I think we could use human -order robots to do stuff that we aren't able to do or don't want to do. Listen, Dan Bear used to say, do things that are dull, dangerous, or dirty with robots.
20:28I got it. Dan. I think we're going to see a new generation of robots and figures amazing, optimists, especially Gen 2, I think is extraordinary. Let me just show you this video of Gen 2. This came out in December of 23. That's roll the video. Okay. So not bad humanoid robots, it can be your workout coach here. If it can do my workout for me, that's when I'm happy. Well, listen, I wanted to just cook me my omelette every morning here. Yeah. I mean, the precision here is pretty extraordinary. Yeah, by the way, that I just want to just on the other side of the argument, that little thing of picking up an egg and knowing how much pressure to put on the egg to move it.
21:14It's a huge, huge break, right? The other one that I remember, I think, hearing about the big challenges, proprioception, right? Like if you close your eyes, it's very easy to go touch your nose. You instinctively, your brain knows where you are in the three -dimensional space and you can do it blindfolded. A robot has a very difficult time with that. However, generative AI built into the robots and leveraging it, I think, as a game changer, I still don't understand. Let me share, let me tell you. So first of all, what, again, Elon's number, Elon's timeline, which is, you know, if you ignore the time, he calls me the most optimistic person in the world, I would say he's the most optimistic on timelines and cost.
21:57But, you know, his number here is $20 ,000 per optnist robot, right? Let's call it $50 ,000. So what does it cost you to lease a $50 ,000 car? Yeah, very little, a few hundred a month. Close 500 a month, right? So imagine you've got this in your closet, 500 bucks a month, right? What is that? Doug, there are 20 bucks a day to clean up the house while you're gone, mow the lawn, prep hair, lunch, and dinner for you. It is, I mean, I don't wanna go to the notion of free labor, but it's effectively free labor. So anything and why humanoid robots? Why not? First of all, anything that becomes really good, like something a robot that cleans dishes, we call a dishwasher.
22:47So we are a dryer or a washing machine. But a humanoid robot, we live in a human world. That doorknob over there, the accelerator in your car, the steps we go through, the sides of the doors. And so being able to navigate our physical world by humanoid robot. So I want one, maybe two, okay, you know, clean up after me, cook my meals, do the stuff I want. I don't know, I think there are a million uses. When you, so I'll tell you what my inflection point threshold is for me. Okay. When you have a robot that you can say, oh, go tidy up the kitchen. Yes. And it can go and put the kitchen dishes, There's a rinse above, put them in the dishwasher, put the salt and pepper away, put away the various appliances you've taken out, et cetera.
23:42And do that reasonably completely because that's a repetitive task. Once you learn about how to do it, it's not that hard. That I think is a game changer. I think you want another application. But I think we're gonna be there because you can have that robot walk into the kitchen and say, this is a state of clean. Look around, memorize where every single thing goes. Yeah, right open every drawer looking at I mean photographic memory. Yeah, it's there I mean and then and then return this kitchen to a state of clean. Yeah, so let me flip around your side of the Organs for a second so I'll give you a couple of areas where I think it'll be monstrously useful in a house Okay, where did I put that damn little pair of pliers?
24:23I don't think you're robust and the robot will will know that no No, but it's a cat as an AI that's it's Jarvis and cameras that that happened to notice where you think that's for me. Okay, go get it for me. Sure. I'll give you another one. Go walk the dogs. I think that would be awesome. A dog walking robot is going to be comfortable quickly and I think that can be done very easy. I pay my dog walker much more than 20 bucks an hour. So I think there's some areas, but I still think there's we're looking at there's on cost -effective areas, I think the vast majority of really powerful applications will be construction.
25:00We're go build a house and a swarm of these robots. By the way, I disagree with the fact that it should be humanoid. There's all sorts of inefficiencies with being humanoid. And so why are we building that? I think it's going to be a multitude. It's going to be Star Wars. Yeah. And like I'd rather see an octopus spidery thing because then it can navigate lots of and some will fly, you'll have eight arms that can do lots of things, that can do super fast. But I prefer not to be humanoid. Well, I'm sorry, we're gonna have humanoid robots and I want data. Okay, so let's talk about humanoid robots one second.
25:32We've got Terminator, don't want those. Yeah. Data, C3PO. All right, what's your favorite robot? Probably data. Yeah. And your positronic brain. No, I'm sure. I'm sure. to bring. C3O for me is too fanciful or too cartoonish, too much personality. Do you have one? Well, I mean, data for sure, but growing up, it was your lost in space. Yeah. So robot, that was his name, very imaginative robot. I loved robot from lost in space. Actually, I've members build those with like, uh, uh, uh, uh, uh, uh, uh, court, you know, things from the, uh, dryers and boxes and so forth. It was fun. Everybody want to take a short break from our episode to talk about a company that's very important to me and could actually save your life or the life of someone that you love.
26:32Companies called Fountain Life. And it's company I starred years ago with Tony Robbins and a group of very talented physicians. You know, most of us don't actually know what's going on inside our body. You were all optimists. Until that day when you have a pain in your side, you go to the physician and they burn in the sea room and they say, listen, I'm sorry to tell you this, but you have this stage three or four going on. And you know, it didn't start that morning. It probably was a problem that's been going on for some time, but because we never look, we don't find out. So what we built at Fountain Life was the world's most advanced diagnostic centers.
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27:11We have four across the US today and we're building 20 around the world. These centers give you a full -body MRI, a brain, a brain vasculature, an AI -nabled coronary CT looking for soft plaque, dexascan, a grail blood cancer test, a full executive blood workup. It's the most advanced workup you'll ever receive. 150 gigabytes of data that then go to our AI's and our physicians to find any disease at the very beginning when it's solvable. You're gonna find out eventually. Might as well find out when you can take action. Fountain Life also has an entire side of therapeutics. We look around the world for the most advanced therapeutics that can add 10, 20 healthy years to your life.
27:55And we provide them to you at our centers. So if this is of interest to you, please go and check it out. Go to FountainLife .com -bacslash -peter. When Tony and I wrote our New York Times bestseller life force, we had 30 ,000 people who reached out to us for Fountain Life memberships. If you go to FountainLife .com -bacslash -peter, we'll put you to the top of the list. Really it's something that is, for me, one of the most important things I offer my entire family, the CEOs of my companies, my friends, it's a chance to really add decades onto our healthy life spans. Go to fountainlife .com, backslash, Peter.
28:38It's one of the most important things I can offer to you as one of my listeners. All right, let's go back to our episode. I think there's something magical about a humanoid robot, and I want to show you another humanoid robot here. Actually, here's Tesla again, doing something useful. Okay? Like, folding my - So, holding your shirt. Yes. Okay. Now this is pretty amazing. The ability to actually understand where the edges are. I remember Scott Hassan who had Willow Garage. Yeah. And he built a robot to fold laundry. Yeah. And it was just extraordinarily difficult. It did. Yeah. It was really slow.
29:21It was really slow. Yeah. And really painful and detecting the edges and where to pick it up and the whole model of how the cloth folds. I mean it's crazy. So I'll flip to where I think this robot is really powerful. They now have a stitching robot. Sure. Okay. We have a trillion dollars of the global economy of people sewing t -shirts together and clothes together and jeans together etc. And it's really horrible work and it's low paid. It's very difficult. Child labor in a lot of cases, I doubt you countries. And you have this sewing robot that just does it all. And I think things like that for where the game changes.
30:02Well, I mean, your culture will apply. How about surgery? Surgery huge. Yeah, so I've said this before, and I say this to all my friends who are in medical school or physicians, it's like this, the best diagnosticians will be AIs. Yeah. And the best surgeons will be AIs. Yeah. So let me ask you this. Do you know the question, if you need to get a surgeon for any procedure, and hopefully you don't, but if you do someday, there is one question you ask when interviewing a surgeon. Do you know where it is? How many of these have you done in the past? How many of you have done this morning? Okay. So in other words, the surgeon who has the most experience with a particular procedure is the most, you know, is trained, his or her neural net to see every arterial venous malformation, every situation is prepared for everything.
30:51And it's really, he wants someone who's done 80 of them a week. Yeah. I want you to imagine a future in which these robots are our future surgeons. And every time a robot does one, it's uploading its experience to the cloud. Yeah. And every surgical robot has had every experience. It's in millions of them. Yeah. So now this is where things get interesting for me, right? This is the same thing with the Tesla car. Once it knows to navigate a pop hole and tells every other Tesla car to do that, now things get really interesting because you get a distributed intelligence that can be applied, learn once and apply a million times.
31:32And I think if you have the somebody who's done a hundred heart replacements a month, a surgeon, and you have a robot, a camera just watching over that with the generative AI built in, the robot will be able to do the same thing, very quick one. That's super exciting. So, you mentioned the uncanny valley before, which is a term that's typically applied to how human -like we make a robot face look. Yeah, so what that means is when you see an animation of a human face, because we're so attuned to human faces or brains. We have a whole bunch of neurons. We have a million brain, detect, detect, et cetera.
32:10It turns out like seeing a cartoon face is easy, but making it visibly real to the point where you think it's real is near impossible. So the uncanny valley is a robot that we think is human, and that I think is like a touring test for visual robotics. And can you detect that or not? So this is a robot, Amica, who's been on my stage at the Abundant Summit. it. Amick is coming back this year in 2024. Engineer arts out of London, manufacturers. I keep on wanting to say her. Well, I mean, it's a she, you know, is it? I mean, why? It's gray, it has no hair. I mean, anyway, I, you know, I'm going to say her.
32:59We can barely classify humans right now. Like, like, like, like, like, like, like, like, like, like, like, like, like, like, it's probably safer to go. My pronouns are it. All right, so check, check out, check this out. So this is a video of Amica seeing herself in the mirror for the first time. Okay.
33:24Has she been told that that's her in the mirror? I have no idea what the setup is. Okay.
33:36But it's amazing. I think she has like 23 servo motors in her face alone. Yeah. I wanted to wink at the end there. That's true. It is freaking. And so here we have an humanoid robot that for me would be meeting me at the entryway someplace would be my guest service manager. It would work the front desk at a hotel. Right. I think that's pretty extraordinary. By the way, when you see Amica at the abundance sum of this year, at a 360, she's powered by GPT -4. Yeah. When you have a conversation with her, you're having a conversation with a large language model. I don't know, I want some, I'm looking forward to some experience I draw by some of my life.
34:35I think it's one of those fun to play with. But I think there will be enormous power in various activities that can get done. For example, if you had a robot like this as a reception check in a hotel check in, right? They will process white color drudgery. Like, OK, I want a king's room. I'll write a book for those. but do you have one of these free? And I arrived early and you have a room available, et cetera, they'll be able to handle that stuff very fast. Whereas today is like super slow and takes a long time and they'll be able to do a lot more effective, they'll process money more guests at a time per hour type of thing.
35:12I think that's where things will become really interesting around this. But I still don't see the need for it to be humanoid. Well, sex spots. I mean, you can imagine there's gonna be a market for that. Yep. Right. And in that case, you I mean, they're only years. The one that blows my mind is this phenomenon in Japan where men walk around with blow up sex and don't blow up women figurines. Yeah. Just for companionship. And no wonder they're reproduced a very surreal. But it's just a thing over there. Just a thing. Yeah. So this This blew me away. This was an article that came out on the prediction of how many bipedal, humanoid robots will have.
35:58So, the prediction I heard from the team at Figure is single -digit millions by 2030. And billions in the 2040s, Elon came out with his prediction of a billion by 2040. Okay, and You know potentially 10 billion by the end of the 2040s So imagine a world with more humanoid robots than humans. This is like the equivalent of we have more chip Neural power that human neural power and we have more cell phones than we have humans on the planet right now, right? So I think I go back to the use cases, right? I think the number is not that relevant, but I think the use cases is fascinating. So if you can have a rice picking robot that goes and tends the rice fields, or in this case picks things or picks lettuce or strawberry or whatever, and takes away that drudgery from human beings, I think that is a game changer in some profound ways.
37:03But I think we're kind of almost all the way there now. We have many, many areas where Apple picking is not done largely by robots, et cetera, et cetera. And I think where it doesn't have to be human -ordered robot. Yeah, and we have in Amazon service stations. Yeah. So I mean, I think the automation of labor is, I think the one thing that we found most surprising is when we were looking at automation and robotics and AI, we thought manual labor would be automated first, white color labor automated later. And this is another one of those areas, it was really, really hard to be a futurist because Chatchy PT comes out, all of a sudden white color thinking is totally automated.
37:45And it's way harder to do the manual labor because of the physical dexterity stuff. So I'm excited by the robot revolution, I think it's farther away than most people think. Certainly farther away than you want. Okay. Okay, these robots will be in production in 2025, and they'll be sold, and they will be put into limited use cases. Yeah. And I think we're going to start to see them as they learn. The thing to remember, and this is where, you know, I have a conversation with Ray either day, it occurs well. And we both hit on the same thing that we tend to make linear our future extrapolations even though we're faced with this amazing exponential growth.
38:35Yeah. So listen, if we've got what again, term AGI, artificial general intelligence by 2029, driving these robots, these robots are doing anything and everything. Yeah. In which case, if they can do anything and everything, Even if they're $100 ,000 a robot or quarter million dollars a robot, we're going to have a lot of them. They're not limited by physical manifestation. They're limited by the intelligence to have them do things that are useful. Yeah. True. I think you will have a corresponding concern around regulatory and safety, right? What could possibly go wrong? Well, I think in some of my human or robot go steal something from that house and figure out a way of getting into the house and go get stuff from the house.
39:23How do you navigate that? Those. We're back to the general concerns of AI, right? This comes back to ethics and morals and dystopian uses. But it's so interesting. We're here in Santa Monica recording this. Did you see the cocoa robots on the streets here at all? The delivery robots? Yeah, Yeah, so it's fascinating, right? So these little six -wheeled robots with a little antenna and little headlights and they, you know, I think they're manually driven or they're manually assisted. They're like some AI plus somebody in somewhere in the world deciding whether to cross the street or not. But the first time you see them, I was like, wow, that's amazing.
40:08Look at that delivery robot. You take photos up and so forth. And then like a week later, it's like boring. Yeah, this is back to that conversation about how quickly we normalize these things, right? And I think once you get, I think the way to do this is to pick some Value added use case that people, a lot of people get used to them and then it'll spread then they'll take over and you Use for lots of other things. All right. Well, I think I'm Gonna keep I'm gonna surprise you with this prediction that we're gonna have a a billion robots and you should listen to this. I didn't listen to you in 2011 when you were like Bitcoin, Peter, Bitcoin, 2011, like it should have forced me, dude.
40:50Dude, I didn't buy it either. Yeah. So I watched Bitcoin go from $0 .5 to $0 .50, to $0 .50, finally at $0 .500 about a bunch. Yeah. And like that was hard. When you first started $0 .5 to go, I'm spending $0 .500 on this thing that cost $0 .5. sense. Like, I like it's very emotional resistance is a very difficult thing to overcome. And then you kind of have to just go, if I was coming at a blank, what would I do? If we've got billions of these robots walking around, we're going to need battery power. So two articles come out that were amazing. There's been a whole debate and discussion about do we have enough lithium?
41:33Yeah, to power, you know, the cars and we have enough for robots. So this was interesting. So this is the first mass -produced EV with sodium ion batteries. It gets 250 kilometers. So new battery chemistries. One of the things people forget is that scarcity drives innovation and reinvention. Yeah, and this is a really this is you know, I remember this conversation for me the penny drop when we first came across crisper Which is a biotech capability of programming your genome and people try to patent it And and then people thought oh my god if it's patented, they'll be dead at that and very quickly researchers found like five other mechanisms to achieve the same thing.
42:20Yes, right and and when I first heard and I've watched the people complaining about lithium mine forever or complaining about China hoarding all the rare earths, et cetera, I've never been worried about it. I've always figured, I either engineer around it. We don't have enough. Yeah, we'll engineer around that. Or we'll find other compounds to do the same thing. Or we'll kind of create different models for how to do this. And something will happen. And this is for me the validation of that type of thing, where we are going to completely blow the lid off energy storage in the next step. Yeah, and I think that for me is an absolute game changer.
42:57Well, here's a Amazing story right this is a tweet from Beth J. Zeus Beth goes his real name is is Gil Verdon and he'll be on on stage. He runs effective accelerationism and He's just a brilliant used to be Working with Sergei Brynn at Google in quantum and he is You know, in the boomer to doomer scale, he's like, you know, the extreme on boomers like we have to go as fast as possible Yeah, and and This is this tweet. He says we're so fucking back, right? So this is a A tweet from the US Department of Energy that confirmed a discovery of 34 3400 kiloton reserve of lithium in California, salt and sea Making one of the largest exploitable lithium deposits in the world So for the last 10 years, it's like, oh my God, running out of lithium, it's not enough lithium.
43:53Yeah. And this is the abundance thesis. It is. That there is nothing truly scarce. You know, it goes into the right context. It goes into the same thing around technology and energy scarcity, right? We were worried about, oh my God, limiting oil reserves. And then technology came across, figured out fracking. And that expanded radically the scope of it. And the whole ability with technology, something like 40 % of oil discoveries today are AI driven. Wow. 40 % of oil discovery, right? That's kind of massive. And that's a game changer in this. I think there's hundreds of these examples we're going to come across.
44:35And it's not even... So I'll give you one of my other favorites. There's a project called the Materials Project. Materials Genome? Materials Project. Okay. Saul Griffith talked about this at one of our sessions with. And what they've done is put it together a diet database of about a million compounds and cataloged in great detail the chemical electrical and physical properties of these compounds. And these are multiple. Different molecules, different material compounds. Now this goes to the linear exponential thing. If you're a battery researcher and you're trying to figure out, Okay, what's an alternative lithium ion?
45:12Well, okay, maybe sodium ion, so you do run some experiments, and you find, okay, that does or doesn't work. Maybe it's lithium -air, maybe it's lithium -disk, and you test sequentially compound after compound. Very linear approach. Very linear, and if you may use failure at each time, and you don't know when you're gonna succeed, and just let you get it. It's way better than you know. Edison did it with his life, olbs. Now you can go to his database and go, okay, give me a compound that meets this voltage and this thermal resistance and this retention, and boom, it'll say, these are the five that meet your needs.
45:39I called that the materials genome and the concept I had on my stage at abundance the head of applied materials. Amazing company, right? Yeah. So, first of all, I think material science is like the most under -appreciated field in technology. It's like all the progress we have is a result of new breakthroughs in materials. Yeah. Huge. Huge. Like another era. If you want to be, you know, material science is amazing. Of course, too at MIT, but I never went there. Now it was, of course, too. Damn it. Anyway, long story short, the materials genome was being able, once you know, like in a seducu board, once you know the properties of different, you can start to extrapolate what materials that have never been made might have the properties of.
46:27Amazing. And that is extraordinary. Yeah. And now you can then design those. So I think what's going to happen now is you let a generative AI loose on the materials database, which is open source and free by the way, the materials project. And let's start at thinking about that and say what alternative do I have for this or this or this? That's a game changer from materials research. Not changes look again, again, another level of. Hey everyone, I want to take a quick break from this episode to tell you about a health product that I love and that I use every day. In fact, I use it twice a day.
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47:49Now, if you wanna try CEDDS01 daily symbiotic for yourself, you can get 25 % off your first month supply by using the code Peter25 at checkout. out. Just go to seed .com slash moonshots and enter the code Peter 25 at checkout. That's seed .com slash moonshots and use the code Peter 25 to get your 25 % off the first month of seeds daily symbiotic. Trust me your gut will thank you. All right, let's go back to the episode. Here's another story that breaks this past week. It's it's a neural link. And in particular, the ability to connect your Neo Cortex, the outer layer of your brain to the cloud.
48:33Yeah. Right? And I'm gonna show a couple of tweets from Elon and talk about those in a moment. But Ray Kurzweil has been talking about this forever. Yes. And Ray's prediction, if I remember correctly, is high bandwidth brain computer interface by 2033. Okay. All right, so that's like nine years out. And I believe it. Yep. I believe it. Most people don't realize we're constantly bombarded by so much information. Our optic nerve, our touch and hearing. I think the number that I looked up earlier was 11 megabits per second of data coming into the brain. And the problem is our brain processes that at 60 bits per second.
49:26So it has to use all these filters to reduce the noise. And this is why we're so geared to see certain things facial, like we don't see much out of danger that change the face. Exactly. So our MiGdala, for example, filters, I mean, we're so inundated that we have to make very quick decisions. and so anything dangerous goes to the Megdala and puts you on red alert. So as kind of cautious as I'm about making predictions about robots, I'm unbelievably excited about this. Because every percent increase, I can increase my brain processing power. That's just a game changer in terms of the interfacing with various things, right?
50:11If the ability to think things into existence is going to be powerful. So we were talking about this earlier. I could go, I really want to chair that has this type of a shape, and you let an AI design six versions of it, and you go, I want that one. And then a separate 3D printer goes off, and goes off and builds the thing for you. And you're done. That's just amazing. I think this is going to be a huge for us multiplier for humanity. Yeah, for sure. The ability to have brain computer interface, BCI, also brings us a lot of other things. It brings us telepathy, right? My ability to communicate with you, right?
50:54Amnissions able to know through the trillion sensors out there what's going on in the world. I mean, it is God -like powers. If you connect your brain to the cloud. Well, I think so I'm I have a spiritual till to my of course Thank you Buddha Well, when you when you connect all the brains together via BCI Right now you have a hive mind and you have a hive consciousness Yeah, that was I think was really that was my final chapter of Futures faster you think I call it a meta intelligence can I tell a story here a second so I think this is It's just a step in human evolution. The reason I believe it's a step in human evolution is I look back at time.
51:38If you look back three and a half billion years ago when life first came into existence on the planet, it was these very simple cells called pro -cariotic cells. They were bags of cytoplasm and they were not energy efficient. they were not the DNA was free floating inside. And over the course of a half a billion years, they went from these pro -carriots, what are called eukaryotes. And the eukaryotic cells brought in mitochondria for processing energy. They put a nuclear membrane and chromosomes for processing the information. And they're brought in endoplasmic reticulum and liposomes. They brought in all of this tech inside the cell.
52:20And so they became tech -enabled cells. Yeah. And then the next step was that they went from single cell to multicellular and then from multicellular to tissues and organs and then you and me we have 30 trillion human cells. You might have 35 trillion human cells. I'm not calling you fat. Just saying you're bigger than that. So the process has been that incorporating technology, going multicellular and then connecting to another higher level. And so I see that happening right now, right? So we are the equivalent of those simple pro -cariotic cells where we're connecting this technology into ourselves.
53:04And as soon as that gets connected, I connect with you and with a million other people. and we become conscious at another level and I call that a meta intelligence and it is making me one with the universe now Here's where it gets interesting I wonder if we become conscious on a global level and Then we look out in the universe and we see all these other meta intelligences What sensors would we detect that with? Okay, I for when you think about you know the the the paradox was the peridocs. Fermi peridocs. Where is everybody? Where is everybody for? I actually believe the most in the... So just for people listening, if you run the number, is the Drake equation, et cetera, there should be a million other intelligences out in the universe that have advanced things.
53:58So why don't we see them? Yes, where are the experts? That's the Fermi peridocs. And I believe the most in... There's a number of answers to it. One is, everybody else died ahead with the most advanced or we can't detect them. Or they didn't pass the great filter, they had nuclear weapons, they blew themselves up. My favorite hypothesis, the Transcension hypothesis, which is you've got and evolved enough that you have virtual reality to do everything, you don't need to go out, you go inwards. Yes. And therefore you don't need to broadcast outwards. And we may find there's a billion of those things.
54:31And we do broadcast outwards, but not intentionally in a focused fashion, but I do believe that as we are going from evolution by natural selection Darwinism, devolution by human direction. We are evolving into something bringing it. Natural selection has been dead for quite a while. Because we've been farming species and guiding evolution for quite a while. There's inflection points around all of that that I think are interesting. For me, when you think about the evolution of the world, when we talk last month about the multi -dimension other parallel universes. For me, thinking, what will get interesting is when I can bridge between universes.
55:21That's one I'll be interested in. I think there are drugs they can do that for you. Yeah, I think they can do that. But the ability to sense the world in one time, and the ability to process that, that collective consciousness is going to be essentially the Buddha. That is the oneness. Yeah, you know the joke, right? The monk goes up to the street vendor in New York and says, make me one with everything to the hot dog vendor.
55:52All right, so Elon tweets out the first human received an implant from Neural Link yesterday and is recovering well, initial results show promising Neuron spike detection. At abundance this year, I've got the surgeon who does all of Neurolinks implants. Wow. So, you know, it was interesting. I had done two podcasts with Elon. One was a couple years ago, one was early in 24. And we talked about when he was playing Pong against a macaque monkey that was drinking a banana smoothie and playing Pong with its brain, right? Yeah. And that's crazy because where we're going to go is that game of playing Pong because I mean, Pong was like the earliest Gino games that you and I played, right?
56:46How far they come now. So that same trend is trajectory, right? So you'll be plugged into a into some advanced neural link and playing a virtual world I mean, we're in a virtual world right now. We're playing in a virtual world within our virtual world. Yeah. I have a question for you that you may have an answer to because you're closer to this. Why do you have to have an invasive procedure to implant a BCI? So you don't wear a helmet that reads your neurons and then writes to your neurons? So it's resolution. It's resolution. It's your resolution. So your brain is wrapped in a material called a dura and your dura then has on top of it a skull and then your scalp.
57:29If you're trying to read individual neurons, it's very difficult. There are a lot of approaches. One other company I'm going to have this year because we're going to go into BCI at the Abundance Summit is a company that puts not into your brain but under the dura, but on top of the brain, it puts these ultrasound, focused ultrasound and steerable ultrasound that can go and actually stimulate individual neurons. The idea is, by the way, there was a story on 60 minutes last weekend. They use focused ultrasound to treat people that are addicted and they were able with one treatment of focused ultrasound.
58:17Yeah, it's huge. To treat can completely cure addiction. So here's where. So that's kind of stuff. I guess super excited. Here's where this company wants to go. Imagine an app. Yeah. If you have this implant in, uh, fairly easy to put in, but an app that says, I want to go to sleep. Yeah. Or I want to wake up. Yeah. Or I want to feel good. Yeah. Or I want to have energy. I want to better tennis for end. That's going to come to you. But I think the earlier apps are going to be states of emotion. Right. Um, the, uh, the stuff that Nurelink is doing, and there are other companies, BlackRock. There's another company run by a friend, Matt Angle called Paradromics, and they're in sheep right now, and they could well be in humans very shortly, and they're actually have much more, they're more advanced in a number of ways, compared to Nuralink.
59:10All of these companies, Paradromics and Nuralink, Asurgeon puts in these small filaments that are going into the Neo Cortex, and they are able to read and write off of individual neurons, right? But it's not really individual neurons, it's groups of neurons. Yeah, it's end -door. Even a thin wire is much, much bigger. So they put them over the motor cortex and over the sensory cortex and then you can control things, listen to things and such. I mean, when we get to nanowires, that's totally gonna be a game changer because it'll be Adam's stick and you can put it anywhere. Well, there's another amazing tech.
59:50This comes from Mary Lou Jepson. You know Mary Lou? Yeah, okay open water So Mary Lou who's brilliant God almighty she was at Facebook and at Google and at you know I'm IT and one laptop or child and she's one of our abundance members. I love her She has built a Technology that allows you to use red laser light which penetrates skin and skull and able to use red laser light and ultrasound to actually target an individual neuron and stimulate that neuron to fire or be able to sense if there's a ruffle on the neuron surface of whether it's fire so you can read and write on to individual neurons and that's amazing.
1:00:39Do you remember that movie brainstorm? Yeah. It's literally like that. Yeah, so you put on a cap and can record memories. And listen to memories. So here's the point. It's the point you just made. The single most valuable thing that any country or any company has is the intelligence of its employees or its citizens. Yeah. And so if you got technologies like neural link or parodromics or open water or BlackRock, able to increase the intelligence of your individual, I can think in Google, right? That's amazing. I, you know, where that goes becomes, there's a spectrum of intelligence going to collective intelligence and then you get to collective consciousness.
1:01:29Yes. Now you get into a definition problem, but that's where I think things become really interesting aware at scale of what's happening in the world. Well, for me, one of the applications of this that I'm super excited about is implanting this into animals and then being able to talk to the animals. Yeah, and also feel what the animals say. Yeah. We have talked about at X -Prize this year, at Visionary, talked about an AI that can translate between humans. Yeah, those are Project in 2017, not Sweden, I don't know where it's after right now, but But they predicted by about now, they were using machine learning to understand dolphin language.
1:02:09And they figured within five years they would be able to do it. My response was I'm really not sure you want to hear what dolphins have to say. You're pretty pissed of us. But in general, that ability to then, because now you can, when you can communicate with other species, that then things get interesting. So forget the humanoid robots. You mean it came with a few people, right? It was that, it was that too. This is another tweet you'll put out. It says, the first neural link product is called telepathy. I mean, he does do, they have great marketing. Yeah, right. Telepathy is what a great name says.
1:02:45Enables control of your phone or computer and through them almost any device. Just by thinking initial users will be those that have lost the use of their limbs. Imagine if Stephen Hawking could communicate faster than a speed type -based or auctioneer. that is his goal. And you know, I used Stephen Hawking well. Yeah. I flew him into 0G back in 2007. And I remember just the pain staking rate of communication. Yeah. And he's tapping just well. He's using his eyes on a screen to be able to select a single letter at a time. Yeah. And today using AI, you can get to 60 words per minute, which is pretty amazing.
1:03:27and this will be even further. So listen, I'm super pumped about this. Let me ask you a question. How, let's say, it's available. Are you in as soon as possible? For this? Yes. Oh yeah. I prefer not to be invasive. But let's say it is. Let's say it's a, it requires surgery. It's going to be, by the way, neural links. I've seen that the tech, it is a fully robotic surgeon. Yeah. that you know, anesthetizes you, you know, cuts it open, drilled a small hole, places it in, places the, you know, the thousand filaments on your, on your neocortex seals it up with glue. Yeah. I'd be in. Yeah. I think that's way more interesting than getting a chip planted in between your knuckles.
1:04:13Oh, the kind of. That tells the reader right of the thing. But that's true functionality that augments human capacity, the real, and then the application, you know, of my software, right? And whatever you can program it to do, you can do that. Be software upgrade. It's like, wake up smarter every morning. Yeah. You know, bring it full circle as we wrap here to robots. The thing that is going to happen and is going to be incredibly cool is when I have my neural link in and I can occupy my optimists. Well, not just the optimists, but five of them around the house, right? You clean up the kitchen.
1:04:51And by the way, I can see through one optical nerve what you're doing. So do it this way. And over here, oh, by the way, put the jam in this drawer, and not over there, if the kitchen of the fridge, and do that in parallel. Yeah. Right? And now you can do things at scale. And each human being, it's augmented like a thousand times. Have you ever read Ramesh Nam's books? Oh, yeah. A huge. Yeah. So I'm just rereading them again. By the way, listening to this, you've not read Ramesh Nam, and AAM. He's... Trilogy called Nexus. Yes, it's Nexus, Apex and Crux. Amazing. It's about a product, a sort of neural lace called Nexus that allows you to have telepathy, allows you to connect to the cloud, and he explores everything here.
1:05:42Yeah. Beautifully written. It's incredible. I'm jealous for people who are reading up for the first time. It's that good. It's really good. And it's already been being made into a movie, et cetera, et cetera. It's crazy. Yeah. Yeah. Hi buddy. Well listen, I expect a chip in you as soon as possible and robots that are following you around doing your bidding. That's let's do the second per first and then we'll put the chip in later. Okay. Good to see you buddy. You too. Take care.
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From the publisher
In this episode, Peter and Salim dive into the craziest news in robotics, generative AI robots, Neuralink, and the Uncanny Valley of robots.
11:59 | $500 Million for Humanoid Robotics
29:07 | Robotic Surgeons of the Future
47:21 | The Future of Brain Interfaces
Salim Ismail is a serial entrepreneur and technology strategist well known for his expertise in Exponential organizations. He is the Founding Executive Director of Singularity University and the founder and chairman of ExO Works and OpenExO.
Join Salim’s OpenExO Community
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