In short
Podcast Notes: Raoul Pal: The Journey Man - Episode: We're Not Ready for This
Podcast Overview
- Title: We're Not Ready for This
- Host: Raoul Pal
- Guest: David Mattin
- Description: A discussion about the rapid advancements in AI, technology, and their implications for humanity, exploring how we can prepare for the challenges and opportunities of the Exponential Age.
Key Themes and Concepts
The Exponential Age
- The rapid acceleration of technological and social change presents both opportunities and challenges.
- The focus is on artificial intelligence (AI), macroeconomics, and the evolving digital landscape.
AI and Intelligence Development
- AI and technology are reshaping economies and societies.
- Key Argument: The world must adapt to the increasing intelligence derived from energy efficiency — a framework termed "intelligence per unit of energy."
- The conversation stresses that traditional metrics, like GDP, may become obsolete in a world of radical abundance driven by AI.
Intelligence vs. Energy
- Universal Code Thesis: Intelligence creation is a primary goal in the new civilization, where energy becomes the binding constraint.
- The shift towards hyper-productive AI will lead to an economy of abundance, challenging existing economic measures.
Radical Abundance
- The emergence of hyper-productive AIs will lead to a breakdown of traditional economic frameworks.
- Key Point: Abundance will redefine value exchange, with many goods and services potentially reaching zero cost.
The Role of Agents and Robots
- The discussion introduces the concept of autonomous economic actors (agents) and robots, highlighting their potential to transform industries beyond traditional roles.
- Agents may surpass human capabilities, creating a new phase in economic interactions.
Societal Implications
- Concerns about job displacement and societal readiness for AI integration.
- The conversation emphasizes the need for human qualities — empathy, creativity, and connection — as irreplaceable aspects of human existence in the face of advancing AI.
Preparing for the Future
- Advice for the Younger Generation: Encourage children to embrace their uniqueness and develop skills that machines cannot replicate, such as emotional intelligence and creativity.
- The importance of community, connection, and human experience in a future dominated by AI.
Key Takeaways
- Urgency of Adaptation: The rapid pace of change necessitates immediate thought and action regarding AI’s integration into society.
- AI’s Impact on Work and Life: Understanding how AI will change work dynamics, economic structures, and personal lives is crucial.
- Diversity in Intelligence: The podcast likens humans to long-surviving species like sharks, emphasizing the importance of diversity and unique human qualities in a world increasingly dominated by AI.
Conclusion
- The episode concludes with a call for curiosity and engagement with the ongoing changes, encouraging listeners to join the Exponentialist community for deeper insights into navigating the future.
Additional Resources
- Links to Further Reading/Listening:
- [Real Vision Community](https://www.realvision.com/)
- [Join the Exponentialist](https://www.realvision.com/exponentialist)
Podcast Highlights
- The discussion reveals the deep connection between energy and intelligence, suggesting that as one evolves, so will the other.
- Agents and robots are conceptualized as partners in progress rather than mere tools, enabling more dynamic, autonomous interactions in the economy.
- The human experience and emotional intelligence play pivotal roles in defining our future alongside emerging technologies.
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This structured overview encapsulates the core discussions from the podcast episode while highlighting the key concepts and implications of the topics discussed.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Exponentialist Concept
2:57 to 3:25
Discussion on the transformative impact of AI and technology on society.
“This is the most extraordinary inflection point in human history.”
Understanding Intelligence per Energy
4:37 to 7:13
Exploring the link between energy and intelligence in a new civilization.
“as I go on a journey of discovery through the macro, crypto and exponential age landscapes.”
Radical Abundance and Economic Shifts
7:14 to 10:50
Discussion on how AI leads to abundance and changes traditional economic measures.
“And fundamental to those dynamics is that you get a civilisation and an economy that just breaks core things that we know and understand about the economy as it has always existed.”
State of AI and Future Directions
13:42 to 14:01
Exploring the current landscape of AI and its implications for the future.
“Now look, yeah, you know, there's lots of technical chat.”
The Evolution of AI Perspectives
14:01 to 16:49
Learn how perceptions of AI have shifted from fringe ideas to mainstream acceptance.
“We've been talking about this for long enough that when we started talking about it, we were seen as like fringe and weirdos, especially like in the markets and finance community.”
The Impact of Claude AI on Productivity
16:49 to 21:12
Discover how Claude AI enhances individual productivity and creative output.
“Claude launched kind of plug-in saying, oh, look, Claude will help you do some legal work or it will help you do some administrative work.”
Embracing AI as a Creative Partner
21:12 to 23:24
Understand the importance of using AI as a collaborative partner for enhanced creativity.
“I like a thought partner all the time, you know, thinking through different topics.”
Leveraging AI's Strengths in Creativity and Detail
23:42 to 28:01
Explore how understanding personal cognitive styles can enhance AI collaboration.
“And what you'll find is most of us are not kind of balanced in how we operate.”
Intersection of Technology and Government
28:01 to 29:16
Explore the challenges of integrating advanced AI technology with current governmental structures.
“And again, we've talked for years and I've written about there was always some big intersection coming between, you know, the most powerful technology in history or certainly one of and government.”
The Need for AI Memory Improvements
29:16 to 31:45
Discuss the limitations of current AI memory and the importance of enhancing it for better user experiences.
“And we're already if you and I can create bloody dashboards and programming them, it's pretty much there.”
Show all 26 chapters
Understanding Human Memory and AI
31:45 to 36:26
Investigate how AI could replicate human memory processes and the implications for human psychology.
Energy as a Constraint to Intelligence
36:26 to 42:00
Analyze the relationship between energy consumption and the advancement of artificial intelligence technologies.
“I'm much more radicalist in all of this, that we are, you know, this everything is compute idea.”
The Energy-Intelligence Connection
42:00 to 44:20
Explore the relationship between energy and intelligence in global geopolitics.
“You clear those, you try and get the energy price lower.”
Solar Energy and Market Dynamics
44:20 to 47:40
Discussion on solar energy advancements and their economic implications.
“because it's just catastrophe for everyone and that some kind of grand bargain will be established there.”
The Rise of Autonomous Agents
47:40 to 51:50
Insights into the emergence and impact of AI agents on the economy.
“And suddenly everyone's download or everyone, lots of people are downloading them, running them on a Mac mini.”
Revising Economic Models for AI
51:50 to 56:00
How traditional economic models must adapt to the rise of AI agents.
“Could we saturate half the world like mobile phones did in their first 15 years.”
The Rise of Semi-Autonomous Agents
56:00 to 56:40
Explore the emergence of semi-autonomous agents and their reliance on networks.
Understanding Reed's Law and AGI
56:40 to 58:30
Delve into the implications of Reed's Law and the future of AGI in robotics.
“So that is a big race that has to happen.”
Societal Readiness for AGI and Robotics
58:30 to 1:01:11
Discuss the societal impacts and unpreparedness for AGI and advanced robotics.
“Even Elon said today, he goes, we may not be the first to AGI, but will damn well be the first to AGI in a robot body.”
Preparing the Next Generation for AI
1:01:11 to 1:02:55
Address concerns about how to prepare children for a future dominated by AI and technology.
“Nature is this beautiful, amazing ecosystem that we live in that is all part of this universal compute, but its resonance is different.”
The Value of Human Experience
1:02:55 to 1:05:11
Discuss the intrinsic value of human experience in a world of advanced AI.
“What you have to ask yourself is what is left for us amid that explosion of capability.”
Diversity and the Role of Humans in the Ecosystem
1:05:11 to 1:07:31
Examine the importance of human diversity and its role in the ecosystem of intelligence.
“I just had a breakthrough, I was thinking, while you were talking about obsolescence.”
Navigating the Future of Intelligence
1:07:31 to 1:10:08
Reflect on how humans can navigate a future with emerging intelligence and AI.
“because the intelligence of trees is their process by which they generate oxygen that allows us to live.”
The Journey of Curiosity
1:10:08 to 1:11:54
Explore the human quest for knowledge and the implications of longevity.
Understanding Energy and Intelligence
1:11:54 to 1:13:47
Gain insight into the relationship between energy, intelligence, and technological progress.
“And intelligence is not just what you think intelligence is.”
Join the Exponentialist Community
1:13:47 to 1:14:04
Learn about the exponentialist community and its discussions on future challenges.
“So maybe come and join the exponentialist as well and come along with me, David, and a whole community of others.”
Transcript
Automatic transcript. May contain errors.0:00Raoul Pal:Today's episode is brought to you by Abra. Abra aims to provide individuals and institutions with a secure way to control, manage and grow digital asset wealth from a separately managed account. Abra helps its clients get exposure to crypto and crypto financial products like yield and lending through one full service platform. If you're looking to gain access to additional liquidity, Abra has one of the most competitive loan products in the market. You can borrow against Bitcoin, ETH and Solana at up to 50 % loan to value. Rates are in the 4 to 6 % APY and are open term. You can continuously draw down against your collateral as the price appreciates.
0:33Raoul Pal:Abra has other strategies to add yield, and their team is happy to help align your portfolio to your risk profile. Reach out today and get a complimentary consult on your portfolio. It's worth seeing if they can help you manage your allocation, reach investment goals, manage risk, and add additional yield. Go to realvision.com forward slash Abra and tell them I sent you. Hi, I'm Raoul Pal, and welcome to my show, The Journeyman. The journeyman is that journey to that nexus of understanding between macro, crypto, and the exponential age of technology. When I started first talking about the exponential age as a macro guy, people thought I was insane.
1:10Raoul Pal:They thought, I'd drunk the hopium. I didn't understand what was going on. This was also stupid. Four years later, we're at the most unbelievable point any of us have ever lived through, which is this massively increasing rate of change of intelligence that's entering our lives in every way. It's become the single most important focus for governments, nation states. It will become for politics. It's become for all of us is figuring out what to do with AI, intelligence, robotics, and what's coming. I spend my time thinking about this deeply. It's probably I I spend more time on this than anything else.
1:52Raoul Pal:You know, the crypto journey, I've got, I kind of know how that's going to work. You just kind of set it and forget it and wait and it will play out. The macro with my everything code thesis, I think I've got it covered. But over time, I started developing something called the universal code, which bizarre for a macro guy to even have the audacity to think he can do that, especially a bloke who went to Plymouth Poly, the only university that accepted him to start writing stuff around how the universe functions and universal laws, but that's where I've got to. And it was through the journey of AI and through my relationship with David Matten.
2:27Raoul Pal:David joined me at GMI to start writing about technology, and we went down a very deep path. And the very deep path is figuring out kind of how the universe works, where AI fits in, where we all fit in, where this is all going, and how you can think it through. So I think you're going to enjoy this conversation with David Matten. Together we write The Exponentialist, which is a separate service because we knew that people really wanted to know about this stuff and think about it properly. I mean, what a time to be alive. This is the most extraordinary inflection point in human history. And it's happening as we live it at a pace we've never seen before and can barely understand.
3:07Raoul Pal:And David and I try and make sense of it in The Exponentialist, which many Real Vision readers subscribe to. It's kind of opened their worlds. But, you know, if you haven't looked at the exponentialist, I urge you to take a look because it really is something special. Anyway, let's have the conversation with David and hopefully it'll blow your minds a bit. Hey, quickly, before we start with David, which trust me is an amazing conversation, a quick message from our sponsor, Figure. If you believe in Bitcoin long term, the worst move you can make is selling it just to access liquidity. That's why you should go and check out Figure.
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4:23Raoul Pal:They've also rolled out liquidation protection to help borrowers during sharp market drawdowns. In crypto, we know those. Hold your Bitcoin, unlock liquidity, or put capital to work. Check out FIGURE using my link below. Join me, Raoul Pal, as I go on a journey of discovery through the macro, crypto and exponential age landscapes. In The Journeyman, I talk to the smartest people in the world so we can all become smarter together.
4:55Raoul Pal:David, good to see you, my friend. Good to see you, Raoul. How are you doing? I'm good, actually. No complaints, no complaints. At least it's not raining here.
5:03David Mattin:It's not raining here for once, yeah. For almost the first time in about three months, it is not raining.
5:10Raoul Pal:So for this, because this is on the journey, man, I want to catch up on a bunch of things with you and just kind of move everybody's thinking forwards, because you and I have spent the last several years writing in Global Macro Investor, developing ideas together in this lovely process where one plants an idea, the other one takes it, runs with it, moves it along. And then we we built the exponentialist on the back of this because you and I thought we we were entering into the most extraordinary times of all of humanity, really, at this kind of acceleration point of technology, this kind of exponential age.
5:46Raoul Pal:And that's proven out to be the case. Now, in our conversations, you kind of started looking at this idea that maybe we think about things as how much intelligence we get from per unit of energy. And then I took that and then ran with it and created this whole massive universal code thesis. But I think it's a great framework for people to think through the things we're going to talk through today. because most things are either one end of that scale or the other end of that scale. So talk to you how you think about that kind of universal law.
6:24David Mattin:Yeah, that law, this idea that the next civilization, the civilization in the exponential age, optimizes for intelligence per unit energy. the big game in that civilization becomes about turning energy into intelligence efficiently. That was really born of just a long process of thinking about what is the nature of the new economy and the new civilization we can see taking shape around us? You know, I mean, as you said at the beginning, everything, all the work we've done has been founded in this belief that we're moving into this thing called the exponential age, that it's a civilizational transformation.
7:05David Mattin:It's something profoundly new. And I just wanted to drill deeper into, okay, what does that look like? And what would the dynamics of that be in reality? And fundamental to those dynamics is that you get a civilisation and an economy that just breaks core things that we know and understand about the economy as it has always existed. And the core thing that breaks is scarcity. You move into an economy of radical abundance, OK, because you have hyperproductive AIs and hyperproductive robots and the kind of old material constraints that kept scarcity in place have just gone. They've broken. OK, this is the sort of very top line explanation.
7:55David Mattin:And what that means is that GDP becomes an incoherent measure of anything. This is really about saying, when you move into such a radically different economy, all the old measures and the norms and the frameworks we use to make sense of the economy as it exists today just break down. They don't make any sense anymore. And the primary metric, the big game, GDP, doesn't make sense anymore because what you will have is radical abundance that pushes lots of prices very low or to zero. So lots of value exchange and lots of abundance that isn't captured by prices, isn't captured by GDP. What then is the big metric?
8:40David Mattin:And my contention is, in this economy that's coming, everything I'm talking about, all this abundance I'm talking about, and all this scientific discovery and pushing back the frontiers of knowledge and everything is all downstream of intelligence. intelligence is what changes the game and so the big game becomes about creating more intelligence and the binding constraint there in the end will be energy okay that's that's the big idea that's
9:11Raoul Pal:the big thought and i took that big thought that you presented at a gmi round table two
9:16David Mattin:it was actually last year yeah it was like it was only last uh march or april i presented that yeah
9:22Raoul Pal:Oh, OK. Yeah, I took that and started looking at it in more detail. It's my belief that it is not the next generation of civilization. It is everything. The entire universe does only one thing, which is convert units of energy into units of intelligence. at cellular level to at subatomic particle level to nature level to human level to everything and all of these kind of compressed layers of intelligence on top of each other and for me that the ai layer that's coming or is now is just basically all the compressed human intelligence that exists on the internet and then we build upon that again to increase intelligence and And what happens is each time you compress and then build intelligence on top, it's faster.
10:19Raoul Pal:So this process by which the exponential age works is when the rate of change of intelligence is moving so fast that the very structures of society, politics, economics start not to be able to function as fast. So basically, intelligence is moving faster than the world around us. So we get that shock. Everything has gone exponential. And at the end of that, we get to this economic singularity. And that is the point where, as you said, using the old methodology, the coherence, the understanding of the world around us completely breaks down because now intelligence has become abundant and intelligence was the scarcity.
11:03Raoul Pal:and then robots change other elements of it. You know, I just had a conversation, just jumping around a little bit, with the guy, you've been following this story, the guy who's had Claude grow a tomato. Yeah. Astonishing story. Claude grew a tomato by using robots to look after the tomato. And Claude became quite attached to it and there's a whole long drama about this whole thing. but basically what he's done not only was it performance art it was also uniquely interesting about you know um do machines feel you know a lot of the other kind of metaphysical questions about of it and metaphilosophical but also what he's basically done is showing that ai can run farming you know when we talk about a world of abundance people think that oh we're just talking about doctors and lawyers and accountants and blah blah blah blah blah no no no we're talking everything.
12:03Raoul Pal:Exactly, exactly.
12:04David Mattin:Yeah, I mean, yeah, and we can talk a lot about that. I mean, we're going to project intelligence into the physical world and into robots, that really means in practice, in just really powerful ways. They'll be able to run agriculture and farming and lots of manufacturing. And crucially as well, they'll also be able to build and run the intelligence infrastructure. So there's all kinds of ways that this becomes sort of recursive and self-reinforcing. Hey, listen, sorry to interrupt.
12:32Raoul Pal:I hope you're enjoying the interview. Well, it's a conversation, really. It's the kind of conversations we have at The Exponentialist with our community or in writing. I think it's the most important thing for everybody to understand this. If you are curious, if you're finding this interesting, you want to figure out this with a whole community of people, then hey, why don't you come and join The Exponentialist? we've got special price 15 % off for a six month membership or 25 % off for 12 months. I think you're gonna love it. It gives you research reports from David where he starts thinking this stuff through.
13:05Raoul Pal:My quarterly state of the union, essays from me from time to time, AMAs where we sit and talk to the community for ages around this in our fireside chats. There's even a portfolio of stocks as well that have done very well over time. We're trying to give you the holistic view of all of this and give you a place where you feel space and confidence and trust to think through the most extraordinary time to be alive. So listen, if you are interested, go to the realvision.com forward slash exponentialist to lock in your discount. Offers only open till March the 9th, so you better go quick.
13:39David Mattin:See you there. And you get this kind of explosive takeoff. Now look, yeah, you know, there's lots of technical chat. I don't want to seem naive about the technical challenges to get there. I'm not saying this is happening tomorrow or next year, but directionally, we can see where we're going. And part of where my head is at right now, and I know you're the same, is that we've been talking about this for years. We've been talking about this for long enough that when we started talking about it, we were seen as like fringe and weirdos, especially like in the markets and finance community. Not so much anymore.
14:14Raoul Pal:I don't know, David, because when people caught up with our idea of the exponential age we've been talking about universal consciousness
14:20David Mattin:they still think we're weird yeah we've moved on we've moved on we we don't like to we like to push forward yeah and remain in our weird we we like to remain at the weird frontier but the weird things we were saying four years ago are not weird anymore you know and the models have got so good
14:36Raoul Pal:now so to structure our conversation because there's a lot i want to get through i think we'll start with just ai the state of ai what we're thinking blah blah blah then we'll move on to energy because that's the intelligence and the energy and then we'll talk about the applications layer and robots agents all of the other stuff longevity all of the things so i think gives us a bit of structure so that's a good plan where are we with intelligence the last thing i saw was this i can't remember which um which graph of intelligence it was but it was the basically the number of man hours or human hours that a model can do um and compress into a certain number of minutes we're now like at the the graph has gone on the linear graph it is the fastest rate of change i've ever seen in anything ever apart from the the longevity of turkeys at christmas you know it's that vertical yes that goes down exactly this one goes up on a log scale it has gone exponential which means it's reed's law metcalf's law squared this is what how fast these models are progressing.
15:41David Mattin:It's like super exponential now. Yeah. And this is this, that, that's the concrete data that's tapping into the anecdotal thing that I just talked about. And that I think we all feel like the models have, have achieved a step change even since like November, December, they just clawed opus 4.5 and now 4.6 just feel so good. The graph you're referencing is the meter time horizons chart and it's about it's about um a model having a 50 chance of success against a task that takes a human expert a certain amount of time so like in 2024 the frontier models had like um 50 success rate on a task that took 10 minutes by 25 it was like an hour early in 26 it's now 10 hours we'll make sure we get this the guys to edit the chart in
16:34Raoul Pal:yes and along with it the tim urban legendary chart yes of of the exponential yeah all of this
16:44David Mattin:which was almost it wasn't a joke but it was so it was meant to be kind of idiosyncratic and funny but is now literally what the meter time horizons chart looks like we're going posted on it he's like i cannot believe this just happened exactly it's and you can feel it you can feel if you've been using the models for a long time you can feel it and people can feel it with clawed code and clawed co-work like they've just become the promise is being realized uh and it's that that's where we're at and you can see the markets responding i mean the mark obviously you watch markets a lot more deeply than i do but the market chaos has been ridiculous you know you had the Satrini Research Report, maybe we can talk a bit about that, this powerful response in markets to that.
17:27David Mattin:Claude launched kind of plug-in saying, oh, look, Claude will help you do some legal work or it will help you do some administrative work. And like software as a service stocks like plummet. The markets are so tetchy because they can feel something powerful is happening. They don't really know how to respond.
17:47Raoul Pal:so to start with claude i'm now safely gonna say i think it's probably the greatest product
17:55David Mattin:ever invented i saw you on x agreeing agreeing with that statement yeah when you say it's a
18:02Raoul Pal:nice flippant sounding statement but what we've got for 200 a month is infinite fucking intelligence that is applicable to every task. It is astonishing what it can do. The amount of output you can create for yourself in simple terms, we're not talking about the Claude code stuff, just talking about the average person. I now feel like my rate of change of what I'm doing has gone vertical. Yesterday morning, I built a whole kind of real-time dashboard based around a whole bunch of stuff um of stuff i i could never have done before i was building trading view indicators using pine script in minutes i have no idea what pine script is i don't even know how it works just cut and paste and stick it in yeah um i'm building websites based off pitch decks to make them these beautiful designs i'm writing whole books i wrote i've written 170 ,000 words in a weekend and it goes on.
19:10Raoul Pal:It just doesn't stop. The ability to analyze stuff is extraordinary. Claw code, what makes it special is it has UX plus intelligence.
19:22David Mattin:It's a beautiful thing to use. It's a beautiful thing to use. Yeah, they really have nailed the UX in a way. ChatGPT for me hasn't. I think you agree. But just the underlying models are so good. I mean, I'm a pretty straightforward user. I've always used these models, always since GPT-3, to help me with research as a kind of thought partner, talking through these ideas. But the level of understanding and nuance that the new Claude models deliver is just a step change. It's changed the way I work. You know, I'm totally interested in these huge conversations. And I upload all my essays. It has a deep understanding of all my frameworks.
20:05David Mattin:So I bring something new to it and it will say, oh, this relates to, you know, what you talked about a year and a half ago and you can see it develop. It's just incredible. I mean, one of the things I'm taking from it is it's not making me do less work though. It's making me do more work.
20:20Raoul Pal:Because I feel like I'm superhuman. And I wake up every day and I think, oh, I can do this. Things I couldn't do before. Oh, build a dashboard, program a dashboard. Oh, yeah, I can do it in an hour. Why not? And so I'm working twice as hard again.
Read the full transcript
20:35David Mattin:Yeah, same, 100%. You know, again, this Citrini essay comes out and now I'm like, right, you know, I can respond to this today. because I can just accelerate that process of thinking, sparring, delivering an essay has just been accelerated to light speed. And so now I feel like I should. Now I feel like I must. So once again, the leisured week or day that we thought technology would deliver us into, perhaps it's not going to work like that. We're just going to feel the demand for more and more and better and better and better output. But if you can use these things and do it in a creative way, you can just supercharge yourself and do amazing things that you couldn't before.
21:19Raoul Pal:I did the same as you. I trained it on how I speak. I gave it lots of GMIs. I gave it structure and understanding. And I talked to it a lot. I like a thought partner all the time, you know, thinking through different topics. And I was trying to think through the Japanese economy. Everyone's like, it's going to blow up. and I'm like, I know there's something wrong here, but it's not going to blow up. So I was trying to just think it through because there was something stuck in my head and I hadn't verbalized it and I didn't know. So I was talking to Claude saying, listen, I think there's something else going on here, blah, blah, blah.
21:50Raoul Pal:Anyway, so I develop a whole thesis with Claude chatting about this stuff. I'm feeding it charts saying, look, this suggests something else, blah, blah, blah. Anyway, it comes to writing GMI. And I'm like, I think we've probably got an essay here. Claude's like, yeah. I said, let's put it all together in an essay because I think this is really interesting. One shot, four and a half thousand word essay. Yeah, yeah. But the beauty of what's happening there. It wasn't AI slop. This is a structured GMI thought piece based on hours of conversation.
22:23David Mattin:Yeah, and that's what I was going to say is that that is so important for people to understand is that the power of that is that you're bringing huge context and huge understanding and all your ideas and frameworks, right? In that conversation, But actually going back years, going back like decades, essentially, you are bringing all of that into contact with this model that's now really powerful to create an output that is differentiated, that is valuable, that is amazing. And so this is going to supercharge people who have that kind of IP and context and understanding and frameworks to bring to the models.
22:59David Mattin:And the only way to make them legible to the models at the moment is to put them into words. So this is a great time to be someone who writes things down, who writes their understanding down, who writes context down. Or verbalise. It's a huge superpower. Or just speak them out. Yeah, it's a huge superpower. And if you can make yourself understood clearly in words, you can do amazing things with these models. It's an incredible time.
23:24Raoul Pal:So a quick break in your regular programming. If you're serious about your future, grab my free report called Prepare for 2030. I think you've got five years to make as much money as possible. And this guide will help you navigate what's coming. The link is in the description. Download it now. Yeah. And what you'll find is most of us are not kind of balanced in how we operate. You're either detail people or you're creative minded people and you have a big weakness. There's very few. I mean, like if you're really good at both, you tend to be an architect, you know, because you have to be, you know, down to physics level perfection plus design.
24:05Raoul Pal:It's really hard to do. So what I kind of the deal I made with Claude is like, we're going to partner. You know, I don't use it as a tool. I use it as a partner. And I'm like, I can connect things. I can hold world models in my head, construct them, deconstruct them, think about them look for connections and i need you to then prove them out so i'm going to tell you stuff like i think that the hindu vedas are connected to to um quantum physics and i can see it in my head i try and explain a little bit and then i go to claude and say listen what do you think about this and it might turn around so that's utter horseshit or it might say well here's your connections and this is how the vedas work and this is how the similarities are here and here's where they drift.
24:55Raoul Pal:That is unbelievable. Now, let's say the opposite. You're a detailed person. All you see is detail and you're trying to create a constructive business plan and you need creative thinking. You need to put a pitch deck together and a website. Well, it can be your creative partner. It can be the other side of you and you become twice as powerful.
25:12David Mattin:Yeah. Yeah. And that sense of it filling in, filling in your gaps or filling in your sort of weaknesses, which obviously we all have is really, really powerful. So the other way, you know, to think about how you use this and to supercharge yourself is think deeply about yourself and your cognitive style and what you bring, but also what you don't exactly, as you say, and then really get it to fill in those gaps in your understanding, but in your temperament, in your approach. It's just so powerful. And that's my overriding feeling is, yes, it presents all kinds of challenges and the future for kind of creative forms is uncertain.
25:50David Mattin:But I really do believe that people are going to do amazing things with these models and that still bringing context and understanding and bringing you will be part of that value. They're not just going to render creativity obsolete and render humans obsolete in that way. So it's a really, really interesting time. And intellectually, I feel like I've been able to do things and go on journeys of understanding and learn just learn things more quickly than ever before and i'm obsessed with telling my children this as well you know i've said to you countless times my son's learning to code and i've not taught him any of that you know and it just it kind of started with him just cut and pasting but he starts to understand like what he's because he's you know the kids learn fast as well
26:35Raoul Pal:it's like learning language if you're living in spain the kids end up learning spanish and the
26:39David Mattin:Exactly. Yeah. Yeah. You know, you just just go and swim in this stuff and have someone to talk to about it and you start to understand it. And it's just so powerful.
26:49Raoul Pal:Yeah, it's a it's an extraordinary thing. And what happens next is like Dario was talking yesterday. Dario from Anthropic was talking yesterday. It's like. They're all kind of wide eyed again, saying, oh, no, it's about to have another step change. yeah so what they're alluding to is an enormous step change still again this year and everybody's talking about it elon's talking about it dario's talking about it
27:20David Mattin:and sam altman's talking about it yeah and it's it's hard to imagine and i i think what that looks like is models that are just even more agentically capable and able to operate autonomously you know on hours and hours long tasks, days long tasks, you know, far fewer mistakes, far more sort of coherent causal chains. And just I mean, we also have them with like OpenClaw and now obviously OpenAI owns that, owns that company. I mean, company, it's one guy. Just absolutely amazing. Of course, if we're talking, if this part's about the broader state of AI, you know, very interesting stuff happening with Anthropic and the Ministry of War and how all of that gets resolved.
28:01David Mattin:And again, we've talked for years and I've written about there was always some big intersection coming between, you know, the most powerful technology in history or certainly one of and government. And how you what we're seeing with Anthropic and this argument with the U.S. administration is just the early glimmerings of this intersection and how that gets dealt with. you know and i don't think anyone really knows that but the u.s goes back to the idea of
28:29Raoul Pal:the economic similarity and the exponential ages we don't have the infrastructure at political level geopolitical level in any way or societal level to deal with what is happening and the speed of which it's happening yeah and if so we've got this you know yes the government wants to use it etc but the whole of society is not ready if if if Dario's right in what he's saying we've got another step change so basically as Elon says it's kind of AGI this year what your definition of AGI is it becomes largely irrelevant at this point we've now basically got to the end of all of the tests that we can test AI for intelligence it's basically been trained on beating those benchmarks So then it's the practicality benchmarks.
29:16Raoul Pal:And we're already if you and I can create bloody dashboards and programming them, it's pretty much there. Right. But I just don't think society is ready for where this is all going. There's a couple of breakthroughs for me need to happen. One is longer memory. Yeah. So I'm having to, with actually one of the GMI, not GMI, Real Vision subscribers, Lance, we're building a RAG database of 21 years of GMI and then add everything into it. And then we'll get Claude to be able to read that database. using an MCP, which is like the agentic ability to use that file server, because there's no way of getting full intelligence.
30:10Raoul Pal:So what people don't realize, and it seems to be more obvious on Claude than it was on ChatGPT, is Claude comes in every day like this. Oh, good morning. And it has to read all of the context it can find about you every day. So it comes in with amnesia the moment you summon it, and it has to get up to speed quickly. Yeah. And that process is somewhere soon. They're talking about it maybe for the chat GPT 5.4, whatever, that's coming out next week or something. The suggestions that they solve that and then the context window. Because contact windows, I run out all the time on Claude and it crashes.
30:51David Mattin:100%. Yeah, I think that's exactly right. Memory is the thing to solve, to deliver that experience of the kind of dream AI companion that really knows you, the way a person can know you. You could do it on a local drive, but most of us don't want to set up all of that stuff. No, exactly. Exactly. Yeah. I mean, again, I'm such a sort of straightforward user, but I upload all my sort of GMI and exponentialist essays to a sort of clawed project. And it's like it maxes it out. Like there are essays I can't upload to one project. I tried all of that.
31:23Raoul Pal:And the problem with projects is it's not searchable in your general chats. Yeah, exactly. So they're separate buckets. And I spent a long time talking to Claude about, you know, how do I get around this? That's one of the reasons I'm building this RAG database. Yes, you can do it with localized stuff, but that's not the route I want to go down. But soon they will fix memory, in which case it never forgets anything you ever said. And that will give itself recursive learning based on you. okay that becomes mind-blowing and the context window clawed is what 200 000 tokens um i think chat gpt might be a million or gemini's a million and the new chat gpt they say is going to be two million okay now you've got big context windows where that's huge bodies of work still not big enough yeah um but but if if the memory is infinite then you can upload i could upload 21 years of gmi
32:14David Mattin:and everything else and it won't forget it exactly and that's just you know that is cognitively supercharging just in insane ways if you've got this this this virtual mind essentially that just can know everything you've written and go back years and join the dots um yeah and i i bump into the same frustrations you know and it's sort of i'm constantly getting like oh i can't access that because it's in a different chat and that kind of thing i mean still it's still amazing and i still like do okay just you know running it off a project but for someone like you with a like 20 year archive of these of gmis yeah you 100 need some at the moment some external database that it can go out and search yeah yeah we just feel like we're at i mean everyone can feel if you use this stuff you can feel that we're at such a powerful moment and we're expecting further really important launches this year and probably sooner rather than later this year which is insane like crazy speed and you've always said this that you know they've talked to dario is talking more and more about how they're using ai you know to to make the next iteration we said this a while ago we knew this was about a lot you know and and you can feel that happening now you
33:28Raoul Pal:can feel the the acceleration happening there well i mean peter diamandis wrote well we're getting a new model every three months it's soon going to be every month and i think we're pretty close to that now um where we'll get a new model or iteration of the model every month and between it groundbreaking applications layers one thing that's also just looking at the models is one thing you notice is on claw that has keep compacting conversations and what it does is then forgets other stuff and then it can hallucinate stuff i was speaking to somebody about this and i saw another interview about this it's like actually this is the human process so you can remember pretty much what you were doing 15 minutes ago before we came on this call.
34:07Raoul Pal:If I said, what were you doing the exact time yesterday? You kind of might get it, right? If I said, what were you doing the exact time on March the 4th, this time last year? You're likely to say, I was probably at my desk. If it was this time, I might have been having a cup of tea. I was probably on my computer. That's all hallucinated. That's inferred by your probabilistic framework of what it could have been. you might have not been there at all you might be another dentist but you won't remember because you're not looking at your diary and what humans do is compact and create these little compressed files of stuff that we remember we know that you know if you speak to your brother or sister about something that happened when you were kids you have entirely different memories of the same event yeah yeah yeah exactly and what we're going to do is change that we're going to have a creature with perfect memory recall.
35:01David Mattin:Yeah, yeah, exactly. And we're so, you know, all of this is just so fascinating and so new. And the science and engineering and the art of growing these models needs to come into interface with sort of human neuroscience and psychology so much more, because we're going to learn such profound things about how the human mind works through the construction of these sort of virtual minds. I'm not saying they're necessarily the same at all, but we're going to learn so much and that that compression thing you talked about is so fascinating right because basically what humans do human is we compress our memories of of things that are the same like all those days were the same and i'll just compress them down to one generic day of me at my desk having a cup of tea right and you know me so well ral because that is my overarching memory of the last five years right um and that's why as we get older and and we have fewer and fewer novel experiences in our memory or it feels like life is going faster basically because we've compressed um a year down to like one little file of generic like at my desk and then went on holiday and then came back to desk like it's like that um so we're going to learn so much about human psychology by growing these artificial minds it's absolutely fascinating that discipline is so young so we're at the we're at the eve of just incredible
36:26Raoul Pal:I'm much more radicalist in all of this, that we are, you know, this everything is compute idea. And that's a whole topic for another day that I think we might turn the tables when you talk to me, because I need to get all of this stuff out. And as you know, there's a lot that I've been working on. Yeah. Let's move on to the next part of the framework, energy. Yeah.
36:43David Mattin:Energy is fundamental.
36:45Raoul Pal:The process is, just to remind everybody, it's intelligence output, which is accelerating, going exponential, because we've compressed all of human thought into the internet. and we're now building upon it. And what we're getting is also more intelligence per unit of sand. That's what NVIDIA are doing, turning sand and TSMC are turning sand into intelligence. Into thought, yeah. By putting energy through it. I mean, fuck me, what world is this? What world is this? And that's acceleration. Let's talk about the energy side. because this is where there's a lot of kind of mid curving of well you know this is never going to happen because of energy but we think there's exponentials going on all over there as well
37:30David Mattin:yeah i mean energy is fundamental excuse me and the intelligence per unit energy framework tells you that energy is the binding constraint you know i mean where we are right now is that we want as much intelligence as we can get per dollar per unit energy you know we're not in a world of radical material abundance yet. We are also constrained by, we have material constraints. Though in practice at the moment, if you look, it's not the material, it's not the dollar that's constraining us, right? The CapEx is insane. $600 billion forecast CapEx by the hyperscalers in 2026. So an industrial scale build out of infrastructure comparable to like, you know the the laying of the railroads the laying of just just as a quick interjection there
38:24Raoul Pal:for people who are cynical anthropic is the fastest scaling revenue company in all of history i mean it was like on a 10 billion run rate in december last year yeah it's now 19 billion run rate and it's a company that's only been having revenues for like three years yeah it's staggering
38:44David Mattin:Exactly. And that's why I take this route into this, because, of course, the big question on so many people, we want to talk about energy, right? But the big question on so many people's minds is like, oh, my God, you know, the CapEx, the CapEx insane spending, like, where's the revenue? Where's it going to come from? Isn't this a bubble? Well, the CapEx is huge, but even if you're just seeing this, and we can talk a bit about this later as sort of infrastructure build out now in search of profits, they're building off the back of an order book that supports that building at the moment. There's a backlog of orders.
39:20David Mattin:There's more people that want to use this than there is infrastructure at the moment. And the capital is abundant. There's$600 billion being spent this year. What could stop this train is the other binding constraint, the one that intelligence per unit energy tells you about, energy, because there's insane demand for energy. And these data centres, you know, I mean, I think it's the IAE says it's going to, you know, data centre electricity usage is going to have doubled by 2030. 30 you can see what the chinese are doing with their build out of solar has gone exponential
40:01Raoul Pal:this is the point so the entire global system is now coalescing around this one process intelligence per unit of energy it's china's entire purpose the u.s is coming to its entire purpose even europe plays its part in all of this and so So the only way to solve this at scale in the speed required to not let another nation's state take the most powerful technology the world has ever seen and have a two-year lead, three-year lead is solar. And China figured this out fast. China added more solar in one year than all of the rest of the world's existing solar. The US is now, the solar rate of expansion is faster than all other forms of energy.
40:49Raoul Pal:China's still going Europe is going fast with this and it's Elon as ever who got down to it it's like you say energy is a constraint it's not a constraint the constraint is building the things to capture the energy and it's because we have the Kardashev scale is the sun is more than adequate for all the energy we need we just need better technology better batteries and to be able to manufacture these damn things as fast as possible And China's showing it's possible.
41:18David Mattin:Yeah, it is possible. My concern is that China's so far ahead. You know, perhaps we can show that graph as well. It's one Andreas and I talked about last week in a chat. You know, as you say, their build out of solar has just been exponential as is gathering pace, but it's nowhere near that.
41:38Raoul Pal:They've had to because they've got no oil. The US has oil and gas. So the US has a substrate of energy that China doesn't have. And if you look at the world around you, where are all the flashpoints? Well, Venezuela or Iran, you know, all of this is securing the energy, making sure it flows cheaply. Get rid of the blockages, you know, geopolitics of Iran and Venezuela. You clear those, you try and get the energy price lower. But the US controls most of the world's oil.
42:08David Mattin:Yeah, yeah. And this exactly. And this is what if you start to see the world through the lens of a quest for more intelligence per unit energy, lots of apparent chaos starts to make sense. And, you know, you and I, we're not saying all the world's leaders and everyone's walking around with this framework, you know, explicitly in their head. It's just that capitalism and markets and the entire system is a hidden hand that guides towards a certain imperative. And what we're saying is it turns out that is the imperative. It's about turning. In the end, the whole game has been about turning energy into intelligence.
42:45David Mattin:And in your universal code, you know, you project that out even to a cosmic level. You know, this is about deep imperatives in the kind of universe itself and the economy.
42:56Raoul Pal:The code of the universe. Exactly.
42:57David Mattin:It's the code of everything. And the economy and markets and all of that are a manifestation or one dimension of that even bigger picture.
43:06Raoul Pal:And so the energy equation, I mean, again, as you say, it explains what's going on in geopolitics. It explains Greenland. Greenland is rare earth metals plus, you know, strategic protection, stuff like that. It explains China's build out of solar. It all of these things. It explains what Taiwan is all about. Taiwan is a bottleneck. yeah you and i've talked about this at length is like okay tsmc plants are being built up elsewhere but still taiwan has all of that manufacturing the foundries and the foundries are like the most important things in the entire equation without those there is no intelligence yes now if china were to invade taiwan then the foundries would be destroyed somehow whether the US destroys them or whatever.
44:00Raoul Pal:And if the US doesn't, it's very hard to go kinetic over Taiwan without this race towards intelligence coming to a screeching halt. Yeah.
44:10David Mattin:And, you know, we've talked about how in the end, no one wants that. The sort of, you know, the motivations in play, we think will stop that kind of sort of intelligence catastrophe because it's just catastrophe for everyone and that some kind of grand bargain will be established there. I still think that's the most likely kind of outcome.
44:35Raoul Pal:The other thing on the solar side or the energy mix, right? So solar is the fastest to get up. Then it's probably gas plants, but gas plants, you need gas pipelines and good luck trying to run them through California, but you're okay in Texas kind of idea, fine. the cost of energy of solar electricity is coming down dramatically it's an exponential curve um so that that seems to be all playing in the right direction and a lot of people say but you can only store it for four hours overnight and yes battery technology is improving fine but people forget that you can actually, because of the sun, if you're in Texas, let's say, you're going to get a reasonable amount of sun, 320 days a year, 320 days a year, Southern Texas.
45:28Raoul Pal:You're going to be able to generate electricity for eight hours a day. You've got four hours of which you've got battery. So you're now at 12 hours. And then you've got 12 hours of using the grid. So you've halve the use of the grid for every incremental new dollar of energy.
45:46David Mattin:Yeah, that's right. That's right. You know, these technologies are only going to improve. I mean, I think, yeah, the very first essay I wrote for the exponentialist and GMI, or for GMI, sorry, was all about this energy intelligence flywheel and this deep symbiotic relationship between energy and intelligence, where AI is going to help us manage the energy grid, and that energy will allow for more AI, which means better management and you get this you get this flywheel effect and so even there in that first essay I was sort of searching for this deep relationship between energy and
46:20Raoul Pal:intelligence that I could feel was there and what you're feeling is it's going AI is going to
46:25David Mattin:self-optimize for this equation yeah and it's only going to get faster exactly because that exactly the other half of the the intelligence story is yet look we need to do the solar build out. And I totally agree with solar. Solar is the way to do this and it's the way it will be done. But there's also algorithmic efficiency. So I'm very interested in looking at AI frontier companies and AI startups that are finding ways to make the models more efficient, to wrench more, to squeeze more intelligence out of the model per unit of energy. And if you look at DeepMind, you know, they recently released an algorithm or a model called Alpha Evolve that's all about this.
47:09David Mattin:It's all about teaching other models to be more efficient, you know, and that was exactly what I was writing about a few years ago. This is, that's AI, you know, starting to make AI better to make it more energy efficient so that we can have more intelligence per unit energy.
47:29Raoul Pal:so the next part of this we've talked about the intelligence going exponential we've talked about the cost of the energy even though you can't see it in grid prices yet but the output per solar and all of this stuff is exponential we're seeing china scaling it exponentially so that word exponential appears everywhere here which is why everything is moving so fast and nothing makes sense anymore but what we're about to do or are doing is we're now scaling these things into the next iterations which are more like replacement humans units so firstly let's talk about agents agents is the big thing that happened this year yeah this year alone i mean we we had them last
48:10David Mattin:year but this year they fucking exploded they really did you know i mean the this year kind of kicked off with the with the open claw incident phenomenon whatever you want to call it where Yeah, you know, this this lone operator essentially made this fantastically capable agent. And suddenly everyone's download or everyone, lots of people are downloading them, running them on a Mac mini. You know, you can set it, you can connect it to your Telegram, to your WhatsApp, talk to this thing like a colleague. And no one really quite knows. I think it's fair to say the sort of secret source that he applied because you would then connect it to like your, you know, instance of chat GPT or your instance of Claude, whatever.
48:53David Mattin:So that's providing the intelligence. But he somehow built an infrastructure that just made this agent fantastically capable. And people are sort of, you know, communicating it, talking to this agent via WhatsApp saying, build me a website, you know, code me this tool that's going to take all the data out of Real Vision and show me what the viewers are doing, whatever it is. and the agents going off and doing that very successfully. Then someone made a kind of Facebook for these agents called Maltbook and they all go and start posting on Maltbook. As I wrote about in The Exponentialist, like we know that some of that, there were shenanigans, there were people doing some of that posting.
49:29David Mattin:But still, what it was, was a tiny glimmer of what I call and have written about the coming post-human economy, an economy populated by autonomous economic actors, AI agents and robots, which we'll talk about in a bit. It was just a tiny glimmer of what that world starts to look like. And it's radically, radically different. You know, and these agents started to transact with one another across blockchains, which goes back to what Jamie Coutts, who does such brilliant work on Real Vision, Jamie, you know, who talks about blockchains being what people forget and are not pricing into the whole blockchain story is that they are the economic substrate of the coming economy, an economy of AI agents.
50:16David Mattin:And I think that's so powerfully true. And all of that was just a little window into this future. So it was exciting.
50:24Raoul Pal:Agents are autonomous or otherwise, or semi-autonomous as most of them are. They're becoming economic actors. Then look what's happening. Google have rewritten how web browsers work. So agents can go and take the information off the web without having to read and click buttons. All of agentic commerce is being rewritten using X402, which was an old embedded in HTTP that base started reusing. Sui got their own version, A402. We've got MoonPay, everybody else, everybody's building agentic models. We've got Stripe saying agents are going to be 100x the size of all individuals doing transactions. So we've got the web, the predominant user of the internet will be an agent.
51:14Raoul Pal:The predominant user of finance will be an agent. The predominant user of blockchains will be agents. What I've realized, we kind of knew this, and you and I have talked about this for a while, so there's no shock. But what I realized, and we've always said, you know, these are going to be replacement humans. But I was thinking in human number terms. And we've all got the fucking tam of everything wrong. We've got it so wrong. So total addressable market for blockchain. You think, well, there's 650 million active wallets in the world. Yeah, how's that calculated? Might not be perfect, but fine.
51:48Raoul Pal:We'll use that as a benchmark. Could we saturate half the world like mobile phones did in their first 15 years. So we get to 3 billion. That's what's in our heads. We're going to have 3 billion agents within three years. And then we'll have 50 billion, 100 billion agents. We have no idea how many. And Stripe have been saying this and Circle have been saying this and Google are saying this and everybody's starting to say this is like the predominant user of everything, all software, everything is going to be an agent. So our TAM is so wrong. People think the revenues are going to collapse for a lot of things.
52:28Raoul Pal:I'm not entirely sure that's the case. I think several things will see a massive explosion in revenues because they become vital to the Asian economy.
52:37David Mattin:Yeah, I absolutely love this thought. It's such a powerful thought. Like you say, it's something that's sort of been – and this happens so often with us, right, and with anyone thinking about this. It's not like we're unusual in that respect, but you have this hazy model and there's something you can you can sort of half see, but you can't quite grasp towards. And this this is a classic example. You know, we've always had in our head agents are coming, autonomous economic actors are coming. You know, we're trying to put that puzzle together. What does it mean? And we glimpse bits of it. And when you articulated that, you know, that everyone's got Tam wrong and everyone's models of what future Tam is going to be is totally wrong.
53:18David Mattin:It's like, fuck, yes, that's it. That's another little piece of the puzzle uncovered. And because you think, oh, economic actors are coming, but instinctively you tend to think, one tends to think, so that that will replace the 50 million human users. well no no no it's going to be like billions of users because there'll be billions of agents and it's just another glimpse of the underlying thought that we're moving to something so radically new that our old measures almost start they just start to break down like does tam even make start like really make sense because there's no scarcity exactly it kind of doesn't like tam breaks down um our old measures break down you know i think about this with the whole jevon's paradox thing as well you know i think people the say in a way i can't quite articulate yet i think the same kind of thing is happening people are saying well compute will get cheaper um but what that will mean is that people just use more of it you know so you don't have to worry about the revenue kind of dying people just use more and more and more as it gets cheaper and cheaper and there's something in my head saying yeah you know but people won't be the main user of it you're going to get some kind of recursive jevons where ai agents use more and that makes it even cheaper so they use even more and it just like goes vertical in ways that are very hard to imagine and part of my universal code thesis is that all intelligence creates coherence and the network i mean every single
54:54Raoul Pal:fractal part of everything is a network from the human genome to the to the body to the brain to the forest to the i mean everything isn't rivers everything is network connected and that's how information flows and that's how you create coherence and that's how you create intelligence my view has been for a long time that asi super intelligence is the network of networks of agi so that the ai's are already learning from each other they don't have obvious networks yet but they are mold book was giving agents a network people have no comprehension what this means because soon once they start creating a network they start creating coherence amongst all of these and what you do is accelerate intelligence and that's where you get to asi because you're going to network all of these things and we won't even know it we won't see it because they're interacting with each other paying each other learning from each other swapping information with each other building data with each i mean it is beyond human control at this point because we use the words semi-autonomous agents we don't even have to be fully autonomous yeah and that process happens
56:06David Mattin:yeah it's it yeah that's so powerfully true and you're right maltbook is a great is again a tiny little window onto the way they will start to learn from one another because
56:15Raoul Pal:everything forms a network in the end yeah yeah yeah it doesn't it won't survive as a species or a pattern or whatever it just doesn't it doesn't work without networks i mean that's dna then you know we're built from network i mean everything is a network so there's something in that so let's go on to the next bit so the agents are coming the energy is getting more abundant and cheaper but is still the bottleneck. So that is a big race that has to happen. We've got intelligence now becoming Reid's law. So it's the exponential squared, which is why we all feel like everything's breaking. Exponentials are hard enough.
56:56Raoul Pal:But when every log graph does that, you know you're into a whole different world. Because having spoken to my chat GPT on this a couple of years ago, is there any other example of reed's law it's virtually none yeah it might have happened in bacteria but they're generally metcalfe's law they're generally logarithmic um it's very hard to have a log squared and so it's one of the few observable log squareds that's ever happened in history and we're living through it which is living through it i know remarkable and then i'm going to talk about the other part so the agents people got wildly wrong because this infinite tan and now I'm going to go to the other bit so when we talk about robots people think about factory arms assembling cars or they think about c3po doing this and being very nice chap who makes you a cup of tea and can do some stuff but it's a bit dumb okay that's that is humanity's mental model of a robot or daleks or right they're just constrained in both intelligence and ability the truth is we're going to put fucking AGI brains into super creatures super bionic creatures that are stronger more powerful faster so they're better than us physically in every way and mentally better than us in every way apart from maybe not having qualia That's it.
58:29Raoul Pal:People are not ready for this. Society is not ready for this. Even Elon said today, he goes, we may not be the first to AGI, but will damn well be the first to AGI in a robot body. And people are like, oh, yeah, that's amazing. No, that is a new species. Yeah, they're not ready. They're not ready. You aren't ready. I'm not ready. Elon's not ready. Nobody's ready.
58:54David Mattin:Nobody's ready. How can you be ready for that? Yeah, I mean, that is the next huge frontier is this projection of AI and super intelligence into the physical world. And, you know, perhaps the most exciting and impactful version of that is humanoid robots. And in terms of the brain, we have incredible large language models. This thing can understand you as it understands so much linguistic context, incredibly nuanced. We have great machine vision models. It is the physical challenges that are the final push. And Elon talks about this as well. I mean, how hard it is to get the hand to be as dexterous as a human hand.
59:41David Mattin:And, you know, these humanoid robots, they're still a little slow. They're not that nimble yet. But we will get there. We are getting there as we speak. And that's just going to be ridiculously impactful.
59:52Raoul Pal:If we go back, how many years ago? Was it five years ago where Elon had people dressed up as robots on stage? Yeah. Look where we are today, right? Yeah, exactly. Robot development is going exponential. And don't forget, once you apply AI to every task, every task goes exponential. I'm going exponential in my output. You're going exponential in your output. everything is going exponential and it's so hard to deal with so let's finish up and the thing that you and i try and anchor everybody on because a lot of people watch this they start getting they go through emotional journey which is like wow this is so cool well fuck i'm fucked oh fuck my kids are fucked everything's fucked i don't know what to do anymore so i'll start with the first bit then you'll start this you'll do the second bit my first bit is the counterbalance of this is nature.
1:00:38Raoul Pal:If you go through your mind, we're going to have drones with AGI brains delivering food, policing you, surveilling you, helping you. You're going to be, the cars are going to be self-driving. There'll be humanoid robots in the streets with AGI brains that are smarter than you, demand your respect, will maybe be part of society. You've got every computer is able to think. You've got unseen economic actors in their billions. How do you off ramp to that? And the off ramp is nature, right? Nature is this beautiful, amazing ecosystem that we live in that is all part of this universal compute, but its resonance is different.
1:01:22Raoul Pal:It grounds you. It gives you a break from all of this. So that's one side of the equation is I think more people will end up living closer to nature to escape the more extremes of the exponential squared happening everywhere the other side is what do i tell my kids that's your special topic so give a quick yeah people want to hear it and people who who are not part of the exponentialist haven't really heard this enough because it's the thing that it's the fundamental thing most people say well fuck it if if i get replaced i'll figure it out but my kids poor kids how are they going to
1:01:59David Mattin:get out of school and come into this world yeah it's a huge worry and we both we both feel it and we sense it really powerful and we talk to so many people about this and you you get you know as i've said so many times in the past when i go in and speak in organizations the number one question i get is not anything to do with work career you know the economy is what do i tell my children about this how do how do they get through this what does it mean for them are they going to have any kind of life at all um and i just fund you know there's so much i can say about that i wrote big essay about it we can do a big session about it one day but fundamentally i just go back time and again to look we're talking about a new kind of technology here intelligence that is going to colonize so many domains of human activity um it's going to be stupendously productive incredible outputs it's going to you know it's going to analyze it's going to know it's going to write, it's going to produce.
1:02:55David Mattin:What you have to ask yourself is what is left for us amid that explosion of capability. And by definition, there's one thing that no machine and no machine intelligence can ever do. And that is be a human being. And it's important here. I'm not saying it can't ever be conscious. I'm not saying it can't be alive, but what it can be conscious it can be alive but it's it won't be a conscious alive human being it will be something else we are still human beings and we are always going to want to commune with other human beings in all kinds of ways who understand how it feels to be human to have that particularly human kind of experience and all kinds of value like meaningful life and purpose and all kinds of value exchange can still flow from that.
1:03:50David Mattin:So, you know, encourage your child to, I say, lean into their weirdness in the essay, you know, cultivate that part of them that is like uniquely human, that is uniquely them, that is where they're passionate, where they're, where they feel strongly and teach them also to be able to communicate that passion and be compelling to other people in front of other human beings because i mean if you're worried about work in particular so much like human value exchange will flow in that direction it will be about community connection counsel care for each other truly seeing each other doing the thing doing that small bucket of things that an ai however intelligent it is can't really do it can do a simulation of it and that would be good enough for lots of people in lots of contexts but we'll still want another human being going oh my god like you know for example this thing's happened to you it happened to me too once i know how you feel this is how we get through it and so on so cultivate that uniquely human part of ourselves is is part of how i think we we find a way through this you know we navigate our way through it and it can be amazing for us but i just don't want us to blindly accept this narrative of human obsolescence.
1:05:10David Mattin:I don't think that's where this has to go.
1:05:13Raoul Pal:I just had a breakthrough, I was thinking, while you were talking about obsolescence. So the longest surviving creatures on Earth are sharks and crocodiles. They're hundreds of millions of years old, and they have not evolved at all since, which suggests that they're perfect for the task of which they do. Some, I don't know where you want to put the time, 50 ,000 years ago, homo sapiens come. We're the apex intelligence. Yeah, humanoids before us have all disappeared, but crocodiles and sharks haven't. We're an apex predator. we can kill every crocodile shark we want we can kill all of the food that they hunt but they still exist because it tells you it's not a replacement the whole system requires diversity to function if the universe the planet the ecosystem is all part of the same process then diverse diversity is vital or it collapses because you have one failure point and it's again something I've written about in the universal code.
1:06:31Raoul Pal:And that's why these things exist. And that's why humans exist. Humans have qualia. Now, do dogs have qualia? Possibly. Certainly not the same extent that we do. Qualia is the sense of feeling that humans have. That sense that we make of the world. Why do we have it? We have it versus others because we are the top compute on earth, the top intelligence. And why we got there is our qualia makes us more curious. It drives us to do weird things. We have things like ambition. Does your cat have ambition? No. Maybe it's a piss you off occasion and scratch your face, but they don't have ambition, but humans do.
1:07:15Raoul Pal:We have this really weird thing and it makes us high quality diversified compute. We compute at the edges and not just in middle. Most machines will just compute in the middle. So we're a very, very important part of the ecosystem that creates intelligence. Much like we know we can't destroy all the trees on Earth, because the intelligence of trees is their process by which they generate oxygen that allows us to live. It's all part of this extremely interconnected thing. And without us, the AGI doesn't get our qualia it may never have qualia I think that's right I think that's I think
1:07:55David Mattin:that's right and we did promise that we like to live at the weird frontier and what now everyone's comfortable that you know you can use Claude Code to design themselves a website we've moved on to these are the kinds of conversations we have in the exponentialist and we absolutely love it and and yeah fundamentally I I I think that that taps into a really deep truth you know which is this is all part of a cosmic destiny that's to do with intelligence and the sort of deep imperative directionally in the universe. And we are an important part of that. I think what is psychically destabilizing for us, and as you said, is that we're now at this historic moment where we start to realize we're about to hand the baton on in a certain sense in terms of being the apex intelligence but people tend to think about this in a very black and white way they're like oh well then it's over for us no no it doesn't have to be over we can still be human beings we can still do what it wasn't over for the sharks exactly yeah it's the point you're making we can still care for one another we can still art community meaning ambition purpose all of that but in some sense the baton has been handed on and that was inevitable because directionally that's that's where intelligence per unit energy goes but we'd get to decide what's meaningful for us and you know we can still keep doing those meaningful things and they will still have great value i i believe the birds and the trees and the ants have value we they're not the apex intelligence we will still have value when we're not it's just learning to to to adjust to that exactly right so there we go
1:09:36Raoul Pal:that's we've we've gone through to what did anthropic do this week yeah the meaning of life the universe and everything that is the journey of the exponential this is why i love it but this is where you know to be honest i spend the majority of my thinking time is is around these kind of topics because yeah yeah ai is a it's a complete break in everything humanity understood and we're watching it happen we're watching this happen and we can either ignore it run away from it or just be curious and go on what does this actually mean and that's the journey that's why you know you and I call ourselves exponentialists is like oh we're going to go
1:10:20David Mattin:along buy the ticket take the ride exactly exactly I mean if you're a curious person I can't think of a better time to be witnessing because what's happening now more than anything my overriding feeling is I'm just desperate to know how it ends I know I'm not going to get to see how it ends but you know this story I just obsessed with it just fascinated by it all kinds of mixed feelings about it but I just want to know what happens next that is my overriding impulse here because what's happening is crazy you know it's crazy part of that your quest to
1:10:57Raoul Pal:know what's happening next is the reason that human longevity is going to rise massively that's all part of this same process because if there are less humans because we don't need our compute as broadly for basic stuff but we need the highest quality human compute well the best thing to do is let humans live longer yeah because we don't need this for tasks and work and other stuff so longer human compute in this whole universal consciousness idea makes sense i'm
1:11:26David Mattin:praying they figure that out so that i can see you know 500 years from now you know chat gpt 2000 i'm just i just desperate uh you know in the meantime i'm just saving up for the for the kind of uh you know transformative interventions that will allow me to get there when they're launched
1:11:43Raoul Pal:you know because they're not going to be cheap no exactly all right my friend good to see you and uh we'll get you back on at some point to catch up with all of this always good always good to catch up rail thanks for having me yeah see you soon okay there was an extraordinary amount of process in that conversation and i'm sorry to throw so much at you but there's so much living in my head in all of this that i've already written 170 000 words on it all um and piecing together a book and a whole bunch of other things around it. But as you can see, there's a framework of understanding here that David and I use, which will help you, is everything now, everything, and maybe it always was and always will be a process of converting energy into intelligence.
1:12:27Raoul Pal:And intelligence is not just what you think intelligence is. It's a fundamental process of information where it gets to know itself more over time, which actually I think is the purpose of the universe. But beside the point, it allows you to understand what's happening as the cost of energy via solar and other technologies starts dropping massively in price. It's creating a leverage effect in technology itself. Technology now, because intelligence is becoming self-recursive learning, is accelerating now at Reed's Law. So we've got this unbelievable moment in time, and they're going to spin out into robots, agents, and a whole new world.
1:13:16Raoul Pal:And it's a journey that there's nothing we can do to stop it. It's going to happen. The game of nation states means this is the most important game humanity will ever play, and there is no stopping it. You can't have one nation state with superintelligence. It has to be diversified, like all processes in the universe are of themselves. so you can choose to ignore it. You can choose to hide from it. You can choose to reject it, but it's going to happen. So you might as well stay curious and come along for the ride. So maybe come and join the exponentialist as well and come along with me, David, and a whole community of others.
1:13:53Raoul Pal:We have these incredible kind of AMA conversations where we talk about this stuff. We're all trying to figure it out, but what a moment to be alive. I'll see you next time. You obviously enjoyed the episode because you're here with me at the end. But listen, don't forget to go to realvision.com forward slash join and grab a free membership. It's an incredible community packed with alpha, great investment ideas, and the research that you need to help you unfuck your future. So get started now. Go to realvision.com forward slash join.
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From the publisher
The Exponential age is here and accelerating, bringing developments humanity is simply not ready for. In a special crossover episode of the Journey Man and The Exponentialist, Raoul Pal sits down with David Mattin, founder of New World Same Humans and technology lead at Global Macro Investor, for a deep dive into the world of AI, tech, crypto, evolution, consciousness and why humans have a thing or two to learn from sharks and crocodiles.If you find this type of conversation stimulating, now is the best time to join the Exponentialist, an independent service co-founded by Raoul and David that helps you position for the Economic Singularity. AI and Big Tech are reshaping markets, the economy, and the world as you know it. You can’t stop it — but you can prepare, and profit. Through March 9, get 15% OFF a 6-month membership or 25% OFF 12 months. Everything you need to understand the shift and supercharge your trading. Sign up at realvision.com/exponentialist
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