Into the Impossible With Brian Keating - Peter Diamandis: Are We Moving Too Fast With AI?! (#376)

Episode Date: December 11, 2023

Remastered from our interview at the AI & Your Life - The Essential Summit. In November, I had the privilege of interviewing Peter Diamandis at the AI & Your Life - The Essential Summit, which aimed to provide a comprehensive guide to artificial intelligence that avoids the hype and gives you practical knowledge you can apply to your everyday life.  Peter is a serial entrepreneur, futurist, technologist, New York Times Bestselling Author, and the founder of over 25 companies. He was recently named one of the world’s 50 greatest leaders by Fortune magazine!  In this interview, we talked about the current state of AI, where it's heading, its potential dangers, and which areas it will disrupt the most. Tune in!  Key Takeaways:  Intro (00:00) Where are we right now with AI? (02:00) Should we fear AI? (10:09)  Are our kids prepared for the technological future? (21:33) Opportunities, perils, and pitfalls for AI and education (26:26) What can AI assistants do for us? (34:16) Will there be a caste system based on digital access to AI? (44:00)  Outro (47:27) — Additional resources:  📢 Ownership of your health starts with AG1. Try AG1 and get a FREE 1-year supply of Vitamin D3K2 and 5 FREE AG1 Travel Packs with your first purchase 👉 https://drinkag1.com/impossible ➡️ Check out Peter Diamandis: 💻 Website: https://www.diamandis.com/  🤖 Xprize: https://www.xprize.org/  ✖️ Twitter: https://twitter.com/PeterDiamandis ➡️ Follow me on your favorite platforms: ✖️ Twitter: https://twitter.com/DrBrianKeating  🔔 YouTube: https://www.youtube.com/DrBrianKeating?sub_confirmation=1  📝 Join my mailing list: https://briankeating.com/mailing_list  ✍️ Check out my blog: https://briankeating.com/blog.php  🎙️ Follow my podcast: https://briankeating.com/podcast  — Into the Impossible with Brian Keating is a podcast dedicated to all those who want to explore the universe within and beyond the known. Make sure to follow so you never miss an episode! Learn more about your ad choices. Visit megaphone.fm/adchoices

There's no on-off switch and there's no velocity switch we can turn down. We're using faster and faster computers to design and build faster and faster computers. We're using stronger and stronger AI to write code on its own for stronger and stronger AI. The notion that we're going to have AI that is fully human-like and then exceed human capabilities, I don't think is a matter of if, it's only a matter of when. Any sufficiently advanced technology is indistinguishable from magic. Open the pod bay doors. Hi, everybody.

Welcome back to AI and Your Life, the Essential Summit. I'm joined here. Well, I should say, I'm Brian Keating, and I'm joined with my good friend and mentor and really a big influential person in my life, Dr. Peter Diamandis, who was recently named one of the world's 50 greatest leaders by Fortune magazine. Peter is the founder and co- and executive chairman of the XPRIZ Foundation, the executive. founder and director of Singularity University and co-founder of bold capital partners, a venture fund with $250 million in investing in exponential technologies. Dr. DiMandez is also a best-selling author. New York Times best-selling author of two books, Abundance and Bold.

I've got those here. He earned degrees in molecular genetics, aerospace engineering from MIT, and did his MD at Harvard Medical School. And Peter's favorite saying is the best way to predict the future is to create it for yourself. Peter, it's always a treat to be with you. Thank you for joining us on this AI summit. I pleasure, my friend, a pleasure. And I was just saying when we're getting ready here, how much I enjoy my time speaking

with you. So this is always a treat when you got two friends getting together and talking about the amazing world we're living in. Yeah, well, we'll run out of time before we run out of topics. We've both hosted each other on each other's podcast. Peter's podcast is Moonshots and Mindsets. And it's really delightful. It's seen exponential growth of its own.

So make sure you subscribe wherever a fine podcast are off and sold. So let's get started. So I want to ask you, you are the person I look to, guru, for many things. But lately there's so much information coming in on AI and so much promise, so much hype, so much excitement. And I don't have time. I get 20 emails a week as you do probably even more. But the one I always read is yours in addition to mine. But I read yours because you distill it, you concatenate and you make sense of the world of the new developments in AI.

So we talked a few months ago, but so much has changed. Where are we at right now with artificial intelligence? Wow. So where we are is at a fascinating transition point and inflection point. You know, one of the things I want to just put this into perspective, right? I think we might have talked about this before. The first time AI was really discussed was at a conference at Dartmouth in 1956. And so at that conference, some of the founding leaders in AI gathered, it wasn't a large group,

was a dozen or so, but the term artificial intelligence and the concepts around AI. And so that's the 70 years ago or so. Why is it taken so long to get to where we are today? We're finally in 2023, and I put that as the inflection point because everybody's speaking about it. Chat GPT was a user interface moment. I'll talk about that in a moment, too. But why it takes so long?

And it turns out there are really four reasons that have gotten to us to where we are today. The first is computational power, right? what's called the law of accelerating returns by our friend Ray Kurzweil and Moore's Law, which is integrated circuits. There's been an exponential growth. It's continued doubling in power every 18 to 24 months. And it's just now, really in the last five, six, almost seven years that there's enough computational power you can throw at these deep neural networks to get them to operate.

So computational power, and by the way, it's just exploded. still. You know, we're seeing massive GPU clouds they're coming on, whether it's Tesla or Microsoft or, you know, Google, everybody. So computational power is not slowing down. In fact, on a log scale, if you graph it, it's curving upwards, right, which tells you the rate at which it's accelerating is itself accelerating. The second thing is the amount of labeled data out there. And this is the Internet. This is everything, every tweet, every Facebook. Facebook post, every corporate web page, everything you've ever put online, this labeled data is what these AI engines are crawling and learning from. They're learning from us. It's not like they're making it up from zero. They're basically modeling us and they're extrapolating and interpolating from the information we've given them. So the amount of data is doubling every 24 months. There's a new term for the amount of data. We're going to hit a Yodabyte of data very soon.

I love that term. And the third reason is that the models, how we're modeling AI, there's been a 99.5% improvement over five years. So for a dollar invested. So it's just getting cheaper and cheaper to create these models. And then the fourth reason, probably the most important one, is, you know, massive amount of money being invested, hundreds of billions of dollars. So all those things are just turning the volume.

to 11 on AI here. So that isn't slowing down. It's accelerating. But what happened to make it a topic on everybody's lips today? Well, these generative pre-trained transformers, you know, GPT 3 and 4 by OpenAI, Bard and what's coming from Google soon, Gemini.

But what's interesting is there's been an inflection point, right? And that inflection point really, you know, I give credit to Sam Altman and the team at OpenAI with chat GPT. And what does that mean? So we had, as you will know, and you've spoken about, you know, we had ARPANET, which was out there. And ARPANET was around. It connected all the universities. And it was really Mark Andreessen with Mosaic that put a user interface on top of very complicated

equipment. And that user interface, Mosaic and the Netscape, allowed anyone to use this, this capability of TCPIP and the internet protocol. And it made it easy for people to use. And the number websites exploded over the few years to millions and then tens of millions and hundreds of millions. Well, chat GPT put a user interface on top of AI. And we went to went to 100 million users in two months time. I think the important thing to realize is it's just one form of AI that's available, these generative pre-trained transformers. There are other ones coming.

I was just hearing from a team out of MIT called Liquid AI that I'm going to bring to my stage at Abundance 360. And the numbers I saw outperform chat GPT in speed and context by, orders and magnitude. And these are really based on modeling neuronal systems, you know, like neurons the brain. And so I think one of the important things to realize is there's no on-off switch. And there's no velocity switch we can turn down. We're using faster and faster computers to design and build faster and faster computers. We're using stronger and stronger AI to write code on its own for stronger and stronger AI.

And so the notion that we're gonna have AI that is fully human-like, who can describe what that is in a moment, and then exceed human capabilities, I don't think it's a matter of if, it's only a matter of when. Probably the greatest predictor of this is someone that we both know, Ray Kurzweil,

raise my co-founder at Singularity University, am I born at XPRIZE, a dear friend, And in 1999, he predicted AI would achieve human level intelligence by 2029. So interestingly enough, everybody laughed at him back then. And where we are today is no one's laughing. In fact, the entire industry's predictions that used to be it's never going to happen or it's going to be 100 years or 50 years. It's all converged on Ray's prediction of 2029.

Even Elon recently said he agrees it's likely to be, you know, 27, 28, 29, or thereabouts. And that idea of human level intelligence where you can have a conversation with AI about anything. And man, are we so close right now just when we play with it? But guess what? The next year, it isn't human level. It's superhuman level, right? And we can talk about artificial superintelligence or digital superintelligence. But it's coming.

And to quote, you know, the CEO, Sundar, the CEO of Google, it's going to be more impactful to humanity than electricity or fire. And I agree. Wow, that's an astonishing statement. I hadn't heard that from Sundar. And I guess, you know, this dovetails in nicely with the next statement, but also something you said a few minutes ago, which is, you know, now we have AI's training AIs. And, you know, if they can be great tutors and human level, when they become, you

on superhuman level. What are some of the concerns? You know, you and I both remember this horrible affliction that afflicted, afflicted bovines called Mad Cow Disease. I've talked about the problem of AIs training AIs, which is only recently starting now with chat GPT opened up, you know, on searching the web with Bing, et cetera, recently with an update. You know, I call it Mad Bot disease. What are you most concerned about? Sure. Are you, yeah. So what are the most concerning that factors and most exciting things? Just on a personal level. You're a day. You're a medical expert. What do you play around with?

So first, some concerns then, well, how are you having fun with it? How are you using it every day as dad as a man? So let me start by saying that I have zero question. AI is the single most important invention that humanity has ever come up with, right? Artificial intelligence is going to enable us in the scientific and medical world like nothing ever before. it is going to be more powerful than the microscope and the telescope, more powerful in the scientific theory. It will give us room temperature superconductors. It will give, if it's possible, it will give us fusion. It will give us the ability to design and improve life to perhaps

solve aging, right, which is where I spend a lot of my time is on the idea of aging is something that can be slowed, stopped, even reversed. So there is no putting AI back in the bottle. There may be opportunities to at least direct it where it goes and it flows. Having said that AI is so important to humanity and it's not going to be stopped. There's no on-off switch, right? I'm not worried about artificial intelligence. I'm worried about human stupidity.

right so let me parse three timeframes the first time frame is right now 2023 to first queue of of 24 and I think if AI stopped right here right now it would be amazing you know all upside no downside, making us super productive, helping us all become better programmers and artists and writers and more productive than ever before. It would be awesome. But it's not going to stop. It's not going to slow down. It's going to accelerate. I want to make that clear. It's accelerating, not even linear. So the next time frame is really mid-24 through 28. Then I want to talk about it. I'll call at the midterm. And my biggest concern is the impact it's going to have on the U.S. elections, and it's going to be the ability for AI to cause a reinvention of disinformation, a reinvention of a

truthful society. So if what you're watching, seeing, and hearing cannot be distinguished from, from what actually occurred, we're in trouble. So patient zero is likely to be a series of events that occur around the election, which create times of panic or distrust. And if you're defeating democracy, that's a really of great concern. When I'm talking about these problems,

the next thing I say to all the entrepreneurs out there is solve them, right? the world's biggest problems, the world's biggest business opportunities. You know, we have blockchain. There's going to be an ability to embed, you know, blockchain watermarks or the case might be for authentication. But it's still sometimes, unfortunately, what you see on TV, whether, you know, people can show you something that looks realistic, like photo realistic, and say, this is fake, but your

brain is still seeing it and you may still believe it. And therein lies some of the challenges and the issue. So we're going to see patient zero around the election. We're going to see AI being used for terrorist activities. What does that mean? Bringing down a power plant, bringing down a Wall Street server, just trying to cause havoc, right? There are enough malevolent individuals. And there's going to be an AI arms race between the white hats and the black hats.

The only way to take on the dystopian use of AI is with AI. there's nothing else. And so there are a lot of companies being funded to do that. So that timeframe between 2024 and 2028 is that period of angst and distrust and in challenge. I think it's in the letter half of that, you know, we're not really seeing the impact on jobs yet. I think we'll see a number of jobs being taken and transformed. But every place I see AI being used right now, it's enhancing people's abilities to do more with every minute of time they have. I haven't hired any less people.

I've had higher expectations of what they can do with this technology. No one's working less, at least in my companies. And then the third time frame is really 2029 onward when we have AGI and then very soon shortly thereafter, ASI, artificial superintelligence. And the challenge there is AI could be the single greatest pro-human capability we've ever had. I personally believe, and I'm curious what your thoughts are, that the more intelligent of being is, the more pro-life and the more peaceful and the more pro-abundance it is. You know, all the TV shows where, you know, super advanced aliens come here and destroy us or Terminator, you know, I call bullshit on that. I think that's ridiculous. I mean, there's no shortage of resources in the universe, as you well know more than anybody.

it. And, you know, the movie, her, where the AIs get to a particular point where they get bored with humans and then leave to go out and explore is much more realistic to me. But having said that, I think AIs can help broker peace. I think they can help uplift humanity. What do I mean by that? Why do we have wars? Well, for a number of reasons. But one of them is that people are unhappy with their state of life, that they don't have food, energy, water, health care, education, and they have nothing to lose and they're angry. Imagine a world in which we could uplift every man, woman, and child, where we truly have massive abundance, where everybody has access to everything they need. I think that if you had the best life you could live, and a mom knows that her kids are going to have the best health care, the best education can make their dreams come true, I think the last thing you're going to do is start going to war

and put on a suicide vest. I think you have so much to live for that you would not want to give it up. So I think creating a world of abundance is one of the most important things that we can do. And I think that occurs. I've had this conversation with Elon. He said, we've talked about abundance. It's a theme he's spoken about. He was a big supporter of my first book there.

And he said, absolutely, after AGI. AGI gets us that level of massive abundance. And so the question is, how do we make sure that AI is pro-humanity? And this is another conversation that's going on right now at all the top companies, not enough inside the government, which is this idea of alignment that as we are building and training our artificial intelligent algorithms, we need to make sure that they are aligned with humanity's best interests. And they're not aligned with radical factions. And the best example comes from a guy who's become a dear friend. He was at Google, helped bring four billion people onto the Google platform when he was head of business.

His name is Mo Goddott. And Mo wrote a book called Scary Smart. And it's a great book, I commend to everybody. It's a short read, very insightful. And Mo gives the analogy, says, I want you to imagine. that Superman came from Krypton, landed in Kansas, met the Kent family, became a loving, pro-human individual because he was trained that way.

But imagine instead that he landed in the Bronx and he was brought up by the mafia or drug lords, nothing against the Bronx, I was born there. He'd become, instead of a superhero, he would have probably become a supervillain. So the equivalent of Superman landing on Earth is AI, and we are AI's parents. And so how do we raise that AI? How do we inform it?

How do we teach it? How do we model for it? Because right now we're modeling all of the insane stuff on the Internet. So there needs to be the set of training languages, training data sets that are carefully selected, right? You can send your, you know, nine or ten-year-old to, you know, a great school, or you can send it to a terrorist camp. And you'll have a very different outcome from the exact same genome.

So this is what we have to think about. Hey there, fellow Voyagers into the Impossible Tizai, your fearful host. Professor Brian Keating here with a tiny little homework assignment before we get back to the episode. And that's to make sure that you're subscribed to the podcast, either following it or subscribing to it, depending on your podcast, catcher of choice. I did some research of my own and found out that only about half of you are actually following or subscribing to the podcast. So please do that. And for some extra credit, if you're looking to boost your position on the grading curve, please leave a rating or review. It really helps us out tremendously.

Do it. Do it now. Before you forget, let's go back to the episode. You and I are both proud parents of twins. And you just mentioned a thought experiment that I'd like to explore in more depth, perhaps, and the way that genetics are not necessarily going to become destiny. And it might be the educational system that really parlayes into a child's future success. And making sure that alignment doesn't supersede the role of a parent. I wonder now if you could talk about how has it affected you as a parent. It has affected me, but I already know enough about me. I'm really curious about you. You're one of the most, I would say, role model exemplars I look to as someone who's ultra successful, self-made, and just a force for good. But I know,

above everything, it's your kids. The future is for them. So how has AI impacted your parenting at all? And how will it impact their prospects for jobs and employment in an abundant future where nobody has to work? Yeah, beautiful question and probably the most important question for anybody listening is who has kids. And yeah, I consider my number one purpose in life is being their dad and be a good role model and such. So they're 12 now. They're in sixth grade middle school. I don't think the educational system is preparing them at all for the world they're going to inherit. You know, I just did a quick poll on, I'm going to call it Twitter.

Sorry, Elon. I did the Twitter poll. And I was asked, is your, if you're a parent, is your middle or high school preparing your kids for the technological future, 3% said yes. 14% said maybe an 83% absolutely not. And I think people know this, right? Because my kids, how old are your twins again? They're five.

So definitely for them. you know by the time my kids graduate high school in six years we're going to have aGI we may have ASI and they're going to have to have learn how to live in a world in which they're in partnership with technology 24-7 you know we're all going to have a version of Jarvis from Iron Matt, which is my favorite knowledge. You're all going to have a, you know, what Microsoft calls a co-pilot, which understands you, enables you, supports you, you think in Google, basically, you know, it understands, you know, as you enter a room, it knows your favorite

music and it switches it over. If you're upset about something, it may turn on comedy on the TV to get you to relax. But I remember when my dad didn't want to buy me a calculator because he wanted me to learn the math tables. And I did learn the math tables. I got him to buy me a TI 59. I don't know if you. Yeah. It was, and it, I learned how to program on it, which is what I said to have to learn a program

on the damn thing. And so I think our kids need to become AI natives. To ignore that is, I think, ridiculous. And so, but now the question becomes, what are they, who do they need to be as people in a world of these, these superhuman AI capabilities? I think I'm more concerned about creating kids who are empathic, who understand how to make an argument, how to ask great questions. You know, one of my boys last semester had to memorize the state cap. of all 50 states. And I'm like, oh, no, please. It's like, honestly, that's why God created Google. You know, I don't think I need to occupy your neurons with that. So we're going to have to reinvent

what and how we teach our kids. So I'm thinking about, you know, do I start a new school for them? Or do I partner with Singularity University to create, you know, after school programs and summer programs and so forth? But I don't, our education. system is broke and broken, and broken, right? It's like it teaches to the tests and it is not, it's not preparing kids for the future, not even close.

Yeah. It's peak pollination season and my business is scaling fast. To keep the nectar flowing, I need a phone plan with top priority data speeds. That's why I chose GoogleFi wireless. My connections stay strong even when the hive was buzzing. Plus, unlimited plans started 35. $5 a month. Now that's a deal that doesn't stay. Explore GoogleFi Wireless plans today.

Plus taxes and government fees. GoogleFi Wireless is not subject to data traffic deprioritization during times of high network usage. And kind of segling from that into education, which is my vocation, but it's also my hobby as well and learning about it. And you operate a university, Singularity University. And it's really transformative. I mean, you talk to top executives. You see them on LinkedIn there. That's always the thing they put.

They put that above almost everything except for, you know, the Harvard MIT axis that you also represent. But when you think about these exponential technologies and you mentioned, you know, creating a school, which is not an, you know, that's kind of an analog technology to, to overcome and perhaps, you know, inculcate the natural. intelligence rather than, you know, kind of educating humans on what AI can do. And I wonder, are there, you know, kind of applications that either from Singularity University or its alums or perhaps in that same space in the education spaces? You and I talked about, you know, several

months ago when we were on, we did a pod crossover, like, you know, and Laverne and Shirley would go on on the Fonzie. You and I remember that. But we did a crossover. And I said, you know, educate, my profession hasn't changed much in a thousand years. Since the first university opened in Bologna, Italy in 1080, you know, there's been some sage on a stage and he, mostly he, unfortunately, but now more she, took a rock and, you know, scraped on another piece of rock. And there were these, you know, wrapped students in the audience, except they had the power to go on strike and then the teacher wouldn't get paid. So thankfully, tenure got rid of that barbaric practice, Peter. But tell me, you know, I see no, no, besides. your profession, healthcare, your original profession,

and I see almost nothing more ripe for extreme disruption. And no job is safer, it seems, from the perils of AI stealing your job than the academic landscape that I inhabit. So tell me, Peter, what are your thoughts on building a new university? Will we make my job obsolete when you can learn from Feynman and Galileo and Madame Curie? Why learn from Brian Keating? So go ahead. Please explain what you think.

are the opportunities, perils, and pitfalls for education, and then we'll pivot to health care at the end. Yeah. Well, you should polish up your resume. So listen, let's be clear about what's coming. What is coming is a complete total revolution in education that is experiential. I'm clear about this, right? The example I used last time I'll use it again is if I want to learn about ancient Greece, I can pick up the Odyssey of the Iliad and try to make heads of tales of it. But in a world in which I can enter a virtual world, which is photorealistic, and that tech is here right now.

And there's a guy in a white toga on a slab of marble who calls me over and in Socrates or Plato. And he says, let's have a conversation. Let me introduce you my friends. Let's walk around Athens. and I experience it. I'm there. I'm in conversation. I'm asking questions.

I'm like being told funny stories. And that is amazing. All right. And there's just no way. I mean, a great teacher can transport you to that moment in time if they are a great orator and storyteller and make it fun. but not mass scale and not personalized. So I think we're within, you know,

three to five years of that being here, definitely within seven years. So I'm going to be able to learn what I want, when I want in a hyper-personalized fashion. So the question becomes what, you know, we're going to divide education, I think, into two different parts. One part is learning math,

learning history, learning science and skills and so forth. Another part is human interaction, being a good leader, and it's the stuff in the real physical world that's going to be important to human-human capability. Though we're looking at an XPRIZE right now to teach empathy using VR. So maybe I take that back. Anyway, I am curious. I don't know the answer.

I mean, one of the biggest challenges is to help people find their purpose, so we're purpose-driven. You and I share that, right? We're very driven to create and to educate and to inspire and to guide and to do all those things. Is there something inherently human that no AI is going to be able to replicate? We're going to find out. we're really going to find out I don't know, what do you think? Where do you think the, you know, a decade from now

after we have AGI and ASI and people, you know, we have the early versions of that with Khan Academy. Yeah. And there are great games. And we, you know, we gamify a lot of things. We don't sufficiently gamify education. I love the discrepancy.

In education, you start with a score of 100%. Every time you get something wrong, you get lower and lower and lower. In video games, you start with a score of zero, and every time you get something right, it goes higher and higher and higher. I mean, that's just broken. What do you think? Where do you think education is going to be when we have artificial superintelligence? I want to divide it because you've inspired me to break things into epochs.

And I want to talk about the epoch of, the current status of how education can be optimized, the near-term future, and then the post-2020 deep future. Right now, I've been underwhelmed by a lot of the artificially recreated Brian Keatings that I've tried to do and had them read to my twins' bedtime stories in my place. They can do an okay job, but really trying to replicate me leaves me wanting, which is kind of surprising, right? Because we've left digital breadcrumbs. You and I, I was on the internet in 1989. Actually, before that, the Bolton board system. I'm sure you even were having a bulletin board system, yes. Yeah, it was great until I ran up, you know, a local phone bill on a,

you know, of over $1,000 back in 1986. That almost got me kicked out of the house. But, but so we've left these digital breadcrumbs for literally, you know, three to almost four decades. There's almost nothing to my mind that sort of knows what Brian Keating knows. what he doesn't know in order to optimize an educational experience for me. And our kids that are digital natives, they will have that opportunity. But I think, you know, there's a tremendous concern about privacy and so forth when, you know, in reality, Google knows more about you than your priest and rabbi, minister, doctor, you know, lover.

Right? So we have this preciousness. And we should because privacy is a human right, as Tim Cook said. And I'm sure you've had discussions. Yeah. But the question is, do you actually, does anyone really believe we have privacy? Yeah. No, with the sensors and services and Amazon's in the bedroom.

Alexa's listening to everything all the time. I changed Alexa to computer. Computer. Who is Peter Diamandis? Yeah. This might answer your question. Peter H. Deamandis is an American marketer, engineer. Your summer starts now with Memorial Day deals at the Home Depot.

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While supplies, price invalid May 14th or May 27th, U.S. only exclusions apply. See Home Depot.com slash price match for details. Computer, stop. So what I've done, Peter, is I've connected the C-word back there, my Jarvis, to its own power supplies. So someday I'm going to see if it

it'll turn itself off to see if you can get a digital susa. But in reality, I think there's tremendous. I think my colleagues are so averse. It would be surprised. We're working on technology that can spot a light bulb on the surface of an exoplanet. And yet, we're not really thinking about how we can utilize this technology to have that, you know, Socrates experience that you just spoke about. And it's a huge opportunity for those that get there first.

I'd say for the next 10 years after that, kids, they will grow up and they can kind of, you know, go through it and keep records because a computer is, you know, your human brain, you taught me this is not for storing information. It's for creating new information and having imagination. And lastly, I think the deep future is really impossible to predict. I mean, if you listen to futurists, you know, of any kind of caliber decades ago, it was flying cars and underwater cities and life on other planets, I think it's so risk. And yet they missed the internet, you know, even though the internet, as you pointed around, was around 1970. So they missed the impact of it, famous quotes from people like Nobel Prize winner, Paul Krugman, that the internet's

going to be the impact of a fax machine. I think the deep future is very hard to predict. I'm excited to see what Ray, you know, his predictions, how they materialize. But education, I think, is ripe for disruption. And I always say, you know, the professors shouldn't sit on their laurels, but, you know, for now they've had the opportunity to do that. We only have about 10, 15 minutes left, Peter. So there's so many more questions that I know the audience is going to want to really hear about none more so, perhaps, than your work in the medical industry and what types of drug discovery, diagnostics, medical assistance in the waiting room. You know, Eric Topol has written about, you know, doctors nowadays are typing into one computer

and then patients are on their cell phone. Talk about the impact of AI specifically, and I urge everybody subscribe to Peter's newsletter because I've gotten not only many good subscriptions to many of the products, you know, Peter has presented to me that I otherwise wouldn't have, but also to have the insights from one of the world's foremost experts on medicine and AI. So, Peter, take it away. What can an AI assist in to for us? Yeah, so I do agree education and health, the two areas that AI is going to massively disrupt. And it's sinful, a health care system we have today.

And I'm on a mission to disrupt and reinvent it. And so that's where I spend all of my time. My venture funds are investing in there. The companies I've started are focused on that. And in the U.S., we pay a ridiculous amount, and we're like in the, you know, way down a couple of decades on health care quality. So what does it mean? We're complicated systems. You know, our 3.2 billion letters are just the beginning of the complexity.

You know, we have 40 trillion cells in our body. each cell is doing like a billion chemical reactions per second. So there's a lot going on. We're quantum systems. I think one of the things I'm excited about is quantum chemistry and quantum computation, helping, giving us new tools to understand, you know, how and why we are physiologically as we are. But here's the biggest thing people can understand.

Your body is really great at masking disease. We compensate really well. What do I mean by that? You don't develop Parkinson's tremor until 70% of the neurons in the substantial I are gone. 70% of all heart attacks have no precedent, no shortness of breath, no pain, no nothing on and a CT scan. you know, the cancers that kill us, 70% of those are not screened for.

We screen for, you know, breast and prostate and skin, but we don't, we don't, you know, screen for glioblastoma or pancreatic cancer or other cancers. And, you know, if you, God forbid you have cancer, you don't feel anything in stage one or stage two. It's only when you get to stage three or four. And you go in and the doctor says, I'm sorry to tell you this, but, you know, it's kind of late. We just found this. And we all have people who've gone through that. So I'm saying that because the world has changed where technology and AI

now enables you to know exactly what's going on inside your body. Right? So we're pilots. I, you know, as I'm flying, I have all my gauges. I know exactly what's going on inside there at a plane, right? In my Tesla, I've got all my gauges. I know exactly what's going on in the car. For most of us, we have no idea what's going on inside our body.

And until you look and people say, I don't want to look, I say, bullshit, of course you want to look. You want to find it. at inception and take action. So as an example, one of the companies I serve as executive chairman of spending half my time in it because I'm so excited about it because it's got the biggest potential impact. It's called Fountain Life. We have four centers right now, New York, two in Florida, one in Dallas.

We'll be opening one in L.A. next year. And we have a waiting list of like 40 centers we're building out around the world. You go and we digitize you. full body MRI, brain, brain vascular, an AI-enabled coronary CT, a dexas-scan, your full genome, your microbiome, you know, it's 150 gigabytes of data. And the reality is no doctor could fathom or handle that much data. But we can now with AI, right? AI can take this data, integrate it, you know, look at your 120 plus biomarkers that are collected from the blood draws, and look at what's going on in the imaging and everything else and start to create a

model of what, if everything's perfect, fantastic. If something's wrong, what's wrong right now? What do we do about it? Or what's likely to happen to you and how do we prevent that? So this is the era of really preventative medicine with sensors all the time. And so we've saved hundreds of lives. I have a couple of my friends who their doctor said, don't waste your time and money, and we find cancer in them. You know, we find cancer in 2% of people who think they're perfectly normal. We find aneurysms in 2.5% of people.

We find a life-saving finding in 14.4%. at the end of the day, we're all optimist about our health, but we don't actually know what's going on. So the technology to know what's going on and then take action is finally here. This will get cheaper and cheaper and cheaper over time. What I mean is we're going to, you know, the next stage and Fountain has their vision I'm portraying his Fountain at home. So I'm wearing an R ring, a guy in my Apple Watch, I have a CGM continuous glucose monitor. And we're going to have dozens of wearables, consumables, implantables that are measuring everything all the time. And that data is being fed to your AI that is making sure everything's in perfect calibration.

And if something is off, it knows about it instantly. And then in the near term, it's going to inform your physician, you know, and it's going to be a pilot, co-pilot relationship. between the doctor and the medical AI. Eventually, it will be just the AI system. It may modify the meds you're taking, may modify the food it's serving you. But we're going to get into a very rapid, closed feedback cycle to optimize your health.

And that's the vision of where we're going. Today, it's 17 years on average between a medical discovery and it being available to you, in the doctor's office. It's crazy. Yeah, and drug discovery and also just, yeah, having the co-pilot. I mean, right now, I almost feel like in the future we'll look back on AI-free doctors visits as kind of, you know, bloodletting and phrenology and so forth, right? I'm predicting in five years it's going to be malpractice to diagnose a patient without AI in the loop. I'll give you one example.

Do you know how many medical journal articles are published per day? I may have asked you this number before. There's 5,000 articles in medical journals per day, right? So the question I laughingly asked is, how many did your doctor read this morning? Right. And then can it know for my specific genome and my specific medical upload data, whether there's an article from this morning that has the answer to what I need, right? But that's where we're heading towards. And it's going to be, extraordinary. Yeah, and similarly in the aviation industry,

we talked about this last time right now. Every plane has to dial in by hand. Every pilot has to take his eyes off or her eyes off of the windscreen and look down and type into it. And then they have to wait a minute for the weather to be ready. This should all just be in a heads-up display, delivered to glasses. They know where you're going.

They know where you're landing. They know who you're... So I just feel like the impacts in saving life, et cetera, is going to be so monumental that you're right. It'll be malpractice. in a host of industries, ranging from legal to education, to aviation, to medicine. But Peter, we're coming up on the end of it. I want to ask you just one, an ultimate question is, as a person on the human level, as we see what these technologies have always done.

I was in Cleveland recently back at my alma mater, Case Western, and I stayed near the Cleveland clinic. And I saw some Amish people and they would get on the elevator with us. And they would ask us to push the button because they will not make use of technology, I suppose. I'm not familiar with that religion. I know for my religion, Judaism on Sabbath on Saturdays, we don't use electricity. I don't work either. But tell me, Peter, are there going to be a class of digital kind of denizens that are left out or non-digital? I can always already see. As I said, one-seventh of my life, I don't use technology. So what about, what is that going to do? Is it going to bifurcate a client? class of make a caste system based on digital access to AI?

It will at the choice of those who choose not to. I think technology is a demonetizing and democratizing force. The better it is, the cheaper it is, and the more available it is. And people may choose a different path of life. Will it eventually cause us to speciate? maybe, in particular as we start on down the path of brain computer interface, right? So there will be those. I would probably include myself that as soon as I can get a good high bandwidth link to my neuro cortex,

I'd love to, you know, be as smart as you and understand quantum physics and, you know, astronomy at the level you do. I'm going to write to my newsletter. And at the end of the day, we're going to be upgrading ourselves. You know, we're going from evolution by natural selection, Darwinism, to evolution by human intelligence, hopefully human direction. And so what does that mean if we can increase our IQ points, increase our connectivity? I think one of the areas that is going to bifurcate humanity is those not really, not who only use AI, but those who merge with AI, right?

That's going to be the most interesting element. So if I'm able to think in Google, I'm able to know the intimate thoughts of someone else who's connected through this neocortex BCI system, a level of intimacy like never before, this is you know this isn't stuff that you know our children's children this is us this is the next 20 years it's going to be awesome indeed okay peter this has been a treat as i said we could go on for hours i just love schmoozing with you and i always learn so much uh last thing is just how people can connect to you and go down the deamendez rabbit hole as i did a decade and a half ago i can't believe it. You've been such a hero of my. Where can people find you? So if you go to deamandis.com,

you can sign up for my blog. I put out two, you know, a tech blog twice a week. One's on longevity and one's on exponential tech. If my podcast is called moonshots, you can see it behind me over here. There we go. Is that logo? And it's an episode a week. And I'm really focused on talking to people who are taking huge moonshots in the world, as you have been, Brian, and what they learned, where they failed, where they succeeded, and what their advice is to others who want to make a big impact on the planet. Xprise.org, we have launched over $300 million in incentive competitions. We're about to launch a quarter billion dollars of prizes in the next three months.

Super cool. And then finally, if you're interested in my longevity plans, if you go to deamandis.com backslash longevity, I have a free, my longevity practices, everything I do and why I do it all boiled down is a free PDF book that you can get. Because taking your health into your own hands is critically important. So anyway, that's my world. A lot else, but we'll keep it there. I love it. We love you, Peter.

Thank you so much for sharing so much of your valuable time with our humble audience. And we'll tune in next time and enjoy the rest of this beautiful fall season here in California or wherever your travels are taking you around our solar system and beyond Peter Diamandas, Dr. Peter D. Amanda's friend and mentor for many years. Thank you, Peter. Thank you, buddy. Appreciate you. Ambition comes in all shapes and size.

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