AI AGENTS EMERGENCY DEBATE: These Jobs Won't Exist In 24 Months! We Must Prepare For What's Coming!

Summary

Highlights

• AI's disruption could lead to massive unemployment, but also create new job opportunities. 🚀
• Revolutionary advancements in healthcare and education could be unlocked through AI. 🏥📚
• The ethical quagmire surrounding AI's power and potential misuse demands urgent attention. 🚨
• AI's evolution could lead to unforeseen societal and existential shifts. 🌍
• AI agents offer unprecedented power to individuals but also pose significant risks. 🤖

Key Takeaways

• AI's transformative power is undeniable, promising both incredible benefits and daunting challenges. 🤖
• Routine jobs are at risk, pushing the need for reskilling and adaptation. 💼
• AI offers groundbreaking opportunities in fields like education and healthcare. 🏥✏️
• Ethical concerns demand urgent attention to prevent misuse and exploitation. ⚖️
• AI could redefine our understanding of meaningful work, leisure, and purpose. 🌟

Overview

Chapters

• 00:00 - 00:30: AI's Positive Impact The chapter discusses the massive potential positive impact of AI on people's lives. Despite concerns around massive unemployment due to AI replacing routine jobs, it is argued that new opportunities for wealth creation will arise. The chapter suggests that AI acts like a new species with unpredictable outcomes, emphasizing an optimistic view on the AI disruption not leading to human catastrophe.
• 00:30 - 01:00: The Rise of AI Debate In 'The Rise of AI Debate,' experts discuss the transformative impact of artificial intelligence on society. The conversation highlights the potential for significant disruption as AI technology becomes more powerful but emphasizes the ultimate benefits. AI is considered a tool that enables business growth, financial prosperity, and solving critical global issues in healthcare and education. The dialogue suggests that despite challenges, AI could lead to a more equitable and fulfilling world.
• 01:00 - 01:30: Potential Risks and Opportunities of AI The chapter explores the dual nature of AI, highlighting both its potential for positive impact and its significant risks. It notes that while technology could provide us more leisure time and opportunities for connection, it also presents problems like doom scrolling, loneliness, and declining birth rates. The potential benefits of AI are considerable, but so are the dangers, which include issues like warfare, sophisticated scams, and undetectable deep fakes. The text suggests that these societal issues already exist, and technology should not be blamed entirely for them. It also raises a question about the responsibility of parents in discussing these topics with their children.
• 01:30 - 02:00: The Evolution of AI Agents The chapter begins by addressing the audience, highlighting that 53% of regular listeners have not subscribed to the show yet. The host requests a favor from the audience to support the show by subscribing. The host commits to improving the show by taking audience feedback, inviting desired guests, and consistently enhancing the content on a weekly basis.
• 02:00 - 02:30: Entrepreneurship and AI The chapter discusses the integration of AI, particularly AI agents, into entrepreneurship. The conversation reflects on the impact these technologies have had on the participants, particularly noting the transformative experiences they had using AI tools like Replet and ChatGPT, which are seen as significant paradigm shifts.
• 02:30 - 03:00: AI in the Healthcare and Education Industries The chapter explores the impact of AI in the healthcare and education industries. It begins by discussing a new image generation model, highlighting its detailed capabilities, and marks it as a significant paradigm shift in technology. The narrator then dives into personal experiences with AI agents, sparked by curiosity from online buzzwords like 'vibe coding' and 'AI agent'. The author describes using Replet, a software tool, and being amazed by its functionalities within twenty minutes of exploration, leading to a late-night session driven by excitement and discovery. Additionally, the chapter hints at the transformative potential of such AI tools in various domains.
• 03:00 - 03:30: The Future of Jobs The author discusses the transformative power of modern software tools that allow individuals with no coding skills to build and launch sophisticated digital products. The author shares a personal experience of creating a website, integrating payment systems like Stripe, incorporating AI features, and setting up Google login with ease. The highlight is the successful launch of a SaaS company without any coding knowledge, illustrating the democratization of technology and the new opportunities it presents for entrepreneurship.
• 03:30 - 04:00: AI's Impact on Society In this chapter, the author discusses the transformative potential of AI agents on society, demonstrated by a real-life example illustrating how an AI agent can autonomously perform complex tasks. Using an AI agent called 'operator', the author ordered water from a nearby CVS without human intervention, highlighting how the AI completed the transaction including payment, product selection, and delivery instructions. This event was a paradigm shift for the author, revealing the profound implications AI agents can have on routine human transactions and interactions.
• 04:00 - 04:30: Preparing for AI Disruption The chapter titled 'Preparing for AI Disruption' introduces the personal story of an individual who began programming at a young age. It opens with an anecdote of a recent experience involving a bottle of electrolytes, which led to feeling surprised by a delivery. The speaker reflects on their early interest in technology, specifically programming, and recounts the founding of their first business while still a teenager. Frequent visits to internet cafes highlighted a gap in business management software, prompting the realization that there was an opportunity to innovate by creating new tools.
• 04:30 - 05:00: The Ethical Dilemma of AI In this chapter, the discussion centers around the potential and challenges of turning ideas into software, especially within various global contexts. It emphasizes that although people worldwide hold remarkable ideas capable of initiating businesses, significant barriers exist between these ideas and their actualization, mainly due to infrastructural challenges. These challenges span from the intangible, such as software, to tangible physical infrastructures needed to transform innovative concepts into wealth-generating realities.
• 05:00 - 05:30: AI's Role in Modern Education The chapter titled 'AI's Role in Modern Education' highlights the transformative potential of AI in democratizing education and empowering individuals with the necessary tools and skills. It envisions a world where access to technology and the ability to innovate and solve problems is available to anyone with the merit and capability to think clearly and generate ideas. This empowerment can contribute to wealth generation and problem-solving on a broad scale, illustrating the significant impact AI can have in modern educational frameworks.
• 05:30 - 06:00: Technology and Human Connection The chapter 'Technology and Human Connection' discusses the inception and development of Replet, a company founded in 2016 with the aim of simplifying the coding process. Initially, the company tackled various aspects of coding, such as hosting and code editing. However, the introduction of an AI agent was identified as a missing component. Over the past two years, efforts have been focused on creating an AI agent, inspired by the revolution brought about by generative AI models like ChatGPT, to further aid in the coding process.
• 06:00 - 06:30: Humans in an AI-driven World The chapter explores the concept of humans interacting in an AI-driven world, where technology allows people to translate their ideas into reality as if speaking them into existence. The narrative likens this ability to mythical powers historically attributed to gods, emphasizing the omnipresence and accessibility of the internet that enables such phenomena. It introduces 'replet agent' as a futuristic tool poised to harness this technology, suggesting that while these advancements are still in their infancy, they promise significant power and potential.
• 06:30 - 07:00: Addressing AI Challenges The chapter titled 'Addressing AI Challenges' begins by exploring the concept of AI agents and their growth. It mentions a graph that depicts the trends in AI agents, which not only reflects Google search data but also resembles revenue trends. The graph, although not shown, is a vital part of understanding these dynamics. There's a brief interlude with a delivery interruption, highlighting a moment of personal interaction within the discussion. This setting underscores real-world interruptions amidst theoretical conversations. The chapter hints at broader discussions on AI challenges and developments.
• 07:00 - 07:30: Optimism and Concerns about AI's Future This chapter explores the concept of an AI agent and its functionalities through a conversational analogy. The metaphor of conjuring water from the mind is used to illustrate the capabilities of AI, emphasizing that it possesses a seemingly supernatural ability to perform tasks like web search or computation. The chapter aims to clarify the term 'AI agent' for those unfamiliar with it, comparing it to a chatbot that can interact with users and execute specified tasks.
• 07:30 - 08:00: Autonomous Weapons and AI The chapter titled 'Autonomous Weapons and AI' discusses different types of AI systems, particularly differentiating between simple request-response systems and more complex AI agents. These agents can operate continuously towards a goal or until encountering an error that requires human intervention. Additionally, the chapter explores the tools AI agents can utilize, such as web browsers, programming environments, and even financial instruments like credit cards.
• 08:00 - 08:30: The AI Race Between the US and China The chapter titled 'The AI Race Between the US and China' discusses the capabilities and execution of AI agents. It emphasizes that the power of an AI increases with the number of tools it has access to, while also considering the implications for security and safety. The chapter notes that AI agents today can operate for a duration ranging from 30 seconds to 30 minutes. A referenced paper highlights that every 7 months, advancements are observed that impact the operational duration of these AI agents.
• 08:30 - 09:00: Human Agency and Evolution with AI The chapter "Human Agency and Evolution with AI" discusses the rapid advancement of AI agent capabilities. It highlights the exponential increase in the duration that an AI agent can operate continuously—from 30 minutes to predicted days in the near future. This progression underscores AI's potential to perform tasks commonly associated with human labor. The chapter also notes that OpenAI's new model, 03, exceeded expectations by significantly improving coherence in long-term tasks within a few months, illustrating the swift progress in AI development.
• 09:00 - 09:30: Conclusion and Final Thoughts The chapter focuses on concluding remarks and reflections on the discussed topics, emphasizing the significant trends illustrated by an exponential graph. Brett, one of the participants, is prompted to share his background and some notes he has taken. During this, the word 'God' becomes a point of interest, leading Brett to mention his professional and perhaps personal outlook as an evolutionary biologist, which may influence his perspective on the topic.
• 09:30 - 10:00: Free Resources and Subscribe Prompt In the chapter titled 'Free Resources and Subscribe Prompt,' the speaker introduces themselves as a complex systems theorist, emphasizing their belief that Artificial Intelligence has transitioned from a state of high complicity to true complexity. They express a mix of profound hope and dread while listening to a conversation, suggesting that AI developments invoke a wide range of emotions and considerations for the future.

AI AGENTS EMERGENCY DEBATE: These Jobs Won't Exist In 24 Months! We Must Prepare For What's Coming! Transcription

• 00:00 - 00:30 I think a lot of people don't realize how massive the positive impact AI is going to have on their life. Well, I would argue that the idea that this AI disruption doesn't lead us to human catastrophe is optimistic. For example, people are going to be unemployed in huge numbers. You agree with that, don't you? Yes. If your job is as routine as it comes, it's gone in the next couple years. But it's going to create new opportunities for wealth creation. Let me put it to you this way. We have created a new species and nobody on earth can predict what's going to
• 00:30 - 01:00 happen. We are joined by three leading voices to debate the most disruptive shift in human history, the rise of AI. And they're answering the questions you're most scared about. This technology is going to get so much more powerful. And yes, we're going to go through a period of disruption. But at the other end, we're going to create a fair world. It's enabling people to run their businesses, make a lot of money, and you can solve meaningful problems such as the breakthroughs in global healthcare and education will be phenomenal. and you can live an incredibly fulfilling existence. Well, I would just say on that front, this has
• 01:00 - 01:30 always been the fantasy of technologists to do marvelous things with our spare time, but we end up doom scrolling, loneliness epidemic, right? Falling birth rates. So, the potential for good here is infinite and the potential for bad is 10 times. For example, there's war, undetectable beat fakes and scams. So, people don't understand how many different ways they are going to be robbed. Look, I don't think blaming technology for all of it is the right thing. all these issues, they're already here. You're all fathers here. So, what are you saying to your children? Well, first of all, this has always blown my
• 01:30 - 02:00 mind a little bit. 53% of you that listen to this show regularly haven't yet subscribed to the show. So, could I ask you for a favor before we start? If you like the show and you like what we do here and you want to support us, the free simple way that you can do just that is by hitting the subscribe button. And my commitment to you is if you do that, then I'll do everything in my power, me and my team, to make sure that this show is better for you every single week. We'll listen to your feedback. We'll find the guest that you want me to speak to and we'll continue to do what we do. Thank you so
• 02:00 - 02:30 much. The reason why I wanted to have this conversation with all of you is because the subject matter of AI, but more specifically AI agents, has occupied my free time for several weeks in a row. And actually amad when I started using replet for me it was a paradigm shift. There was two paradigm shifts in a row that happened about a week apart. Chat GPT released their
• 02:30 - 03:00 image generation model where you could create any image. It was incredibly detailed with text and all those things. That was a huge paradigm shift. And then in the same week I finally gave in to try and figure out what this term AI agent was that I was hearing all over the internet. I heard vibe coding. I heard AI agent. I was like I will give it a shot. Mhm. And when I used Replet, 20 minutes in to using Replet, my mind was blown. And I think that night I stayed up till 3 or 4 a.m. in the morning. For anyone that doesn't know, Replet is a piece of software that
• 03:00 - 03:30 allows you to create software. Mhm. And pretty much any software you you want. So someone like me with absolutely no coding skills was able to build a website, build in Stripe, take payment, integrate AI into my website, add Google login to the front of my website and do it within minutes. I then got the piece of software that I had built with no coding skills, sent it to my friends, and one of my friends put his credit card in and paid. Amazing. So I just launched a SAS company with no coding skills.
• 03:30 - 04:00 to demonstrate an AI agent in a very simple way. I used an online AI agent called operator to order us all some water from a CVS around the corner. The AI agent did everything end to end and people will be watching on the screen. It put my credit card details and it picked the water for me. It gave the person a tip. It put some delivery notes in at some point a guy is going to walk in. He has not interacted with a human. He's interacted with my AI agent. And I just the reason I use this as an example is again it was a paradigm shift moment for me when I heard about agents. Mhm.
• 04:00 - 04:30 about a month ago and I went on and I ordered a bottle of electrolytes and when it when my doorbell rang I freaked out. I freaked out. But am who are you and what are you doing? So uh I started programming at a very young age. You know I I built my first business when I was a teenager. I used to go to uh internet cafes and program there. And I realized that they don't have software to manage the business. I was like oh why don't you create accounts? I don't have a server. It took me two years to
• 04:30 - 05:00 build that piece of software. And that's sort of embedded in my mind this idea that hey like you know there there's a lot of people in the world with really amazing ideas especially in the context where they live in that allows them to build uh businesses. However, the main source of uh friction between an idea and software or call it an idea and wealth creation is u infrastructure is physical infrastructure is a meaning a
• 05:00 - 05:30 computer in front of you. It is um an internet connection. It is the set of tools and skills that you need to build that. If we make it so that anyone who has ideas who who wants to solve problems will be able to do it. I mean imagine the kind of world that we we could live in where no one can be anyone who has merit anyone who can think clearly anyone who can generate a lot of ideas can generate wealth. I mean that's
• 05:30 - 06:00 an amazing world to live in right anywhere in the world. So with with Replet the company that I started in 2016 the the idea was like okay coding is difficult how do we solve coding and um we built every part of the process the hosting the code editor the only missing thing was the you know the AI agent and so over the past two years we've been working on this AI agent that you can just you know similar since chat GPT you know this revolution with Genai
• 06:00 - 06:30 and you can just uh speak your ideas into existence. I mean this starts you know sounding religious like this is like the you know the gods you know that the myths that that um that humans have created they used to imagine a world where you can you can be everywhere and anywhere at once that's sort of the internet and you can also speak your ideas into into existence and um you know it's it's still early I think uh replet agent is is a fantastic tool and I think this technology is going to get so much more powerful
• 06:30 - 07:00 specifically what is an AI agent. I've got this um graph actually here which I don't need to pass to any of you for you to be able to see the growth of AI agents. But this graph is Google search trend data. This also resembles our revenue too. Oh, okay. Right. The the water has arrived. Hello. Thank you. You can come on in. Can I have a go, please? Yes. It's 3951. Great. Thank you so much. Thank you. Thank you. I mean this is this is
• 07:00 - 07:30 like a supernatural kind of power. You conjured water. I conjured water from my mind. Yeah. And it's shown up here with us and it clearly thinks we need a lot. But but just to define the term AI agent for someone that's never heard the term before. Yeah. Yeah. So uh I assume most of the audience now are familiar with chat, right? You can go in and you can talk to an AI. It can search the web for you. It has a limited amount of tools. Uh maybe it can call a calculator to do
• 07:30 - 08:00 some addition subtraction for you, but that's about it. It's a request response style. Agents are when you give it a request and they can work indefinitely until they achieve a goal or they run into an error and they need your help. It's an AI bot that has access to tools. Those tools are access to the to a web browser like operator, access to a programming environment say like replet, access to um you know credit cards. The
• 08:00 - 08:30 more tools you give the agent, the more powerful it is. Of course there's all these consideration around security and safety and all of that stuff. But uh the the most important thing is the AI agent will determine when it finished executing. Uh today AI agents can run for anywhere between you know 30 seconds to 30 minutes. Uh there's a recent paper that came out that's showing that every 7 months the number of minutes that the
• 08:30 - 09:00 agent can run for is doubling. So we're at like 30 minutes now. In seven months we're going to be at an hour then you know 2 hours. Pretty soon we're going to be at days. And at that point, you know, AI agent is doing labor is doing kind of humanlike labor and actually uh OpenAI's new model 03 beat the expectation. So it it sort of doubled coherence over long horizon tasks in just three or four months. So we're in this massive and I
• 09:00 - 09:30 mean this looks this exponential graph, you know, that shows you the massive trend we're on. Brett, give us a little bit of of your background, but also I saw you writing some notes there. There was a couple of words used there that I thought were quite interesting, especially considering what I know about you. The word God was used a few times. Well, uh, let me just say I'm an evolutionary biologist, and probably for the purposes of this conversation, it
• 09:30 - 10:00 would be best to think of me as a complex systems theorist. One of the things that I believe is true about AI is that this is the first time that we have built machines that have crossed the threshold from the highly complicated into the truly complex. And I will say I'm listening to this conversation with a um a a mixture of profound hope and dread because seems to me that it is obvious
• 10:00 - 10:30 that the potential good that can come from this technology is effectively infinite. But I would say that the harm is probably 10 times. It's a bigger infinity. And the question of how we are going to get to a place where we can leverage the obvious power that is here to do good and dodge the worst harms. I have no idea. I I know we're not prepared. So I hear you talking about
• 10:30 - 11:00 agents and I think um that's marvelous. We can all use such a thing right away and the more powerful it is, the better. The idea of something that can solve problems on your behalf while you're doing something else is marvelous. But of course, that is the precondition for absolute devastation to arise out of a miscommunication, right? to have something acting autonomously to accomplish a goal, you damn well better
• 11:00 - 11:30 understand what the goal really is and how to how to pull back the reins that it starts accomplishing something that wasn't the goal. The potential for abuse is also utterly profound. You know, you can imagine, just pick your your dark mirror uh fantasy dystopia where something has been told to hunt you down until you're dead and it sees that as a, you know, a technical challenge.
• 11:30 - 12:00 So, I don't know quite how to balance a discussion about all of the things that can clearly come from this that are utterly transcendent. I mean, I do think it is not inappropriate to be invoking God or biblical metaphors here. You know, you're uh producing water seemingly from thin air. I believe that does have an exact biblical parallel. Uh so, uh any case, the the power is
• 12:00 - 12:30 here, but so so too is the need for cautionary tales, which we don't have. That's the problem is that there's no body of myth that will warn us properly of this tool because we've just crossed a threshold that is similar in its capacity to alter the world as the invention of writing. I really think that's that's where we are. We're talking about something that is going to fundamentally alter what humans are with no plan. You know, writing alters the
• 12:30 - 13:00 world slowly because the number of people who can do it is tiny at first and remain so for thousands of years. This is changing things weakly and that's an awful lot of power to just simply have dumped on a system that wasn't well regulated to begin with. Dan, yeah. So, I'm an I'm an entrepreneur. Um, I've been building businesses for the last 20 plus years. I'm completely well positioned between the two of you here. the excitement of the opportunity and the terror uh of
• 13:00 - 13:30 what could go on. There's this image that I saw of New York City in 1900 and every single vehicle on the street is a horse and cart and then 13 years later the same photo from the same vantage point and every single vehicle on the street is a car. And in 13 years all the horses had been removed and cars had been put in place. And um if you had have interviewed the horses in 1900 and said uh how do you feel about your level
• 13:30 - 14:00 of confidence uh in in the world? The horses would have said well we've been part of uh humanity for you know horse and hoof hand and hoof for for many many years for for thousands of years. There's one horse for every three humans. Like how bad could it be? You know we'll always have a special place. will always be part of society. Um, and little did the horses realize that that was not the case. That the horses were going to be put out of of uh business very very rapidly. And to reason through
• 14:00 - 14:30 analogy, you know, there's a lot of us who are now sitting there going, "Hey, wait a second. Does this make me a horse in 1900?" I think a lot of people don't realize how massive these kind of technologies are going to have as an impact. You know, one minute we're ordering a water and that's cute and the next minute it can run for days and in your words uh it doesn't stop until it achieves its goal and it comes up with as many different ways as it could possibly come up with to achieve its goal and in your words it better know what that goal is. I'm thinking a lot as
• 14:30 - 15:00 Daniel's speaking about the vast application of AI agents and where are the bounds because if if this thing is going to get incrementally smarter well incrementally might be an understatement it's going to get incredibly smart incredibly quick and we're seeing this AI race where all of these large language models are competing for intelligence with one another and if it's able to traverse the internet and click things and order things and write things and create things and all of our
• 15:00 - 15:30 lives run off the internet today. What can't it do? It's going to be smarter than me. No doubt it already is. And it's going to be able to take actions across the internet, which is pretty much where most of my professional life operates. It's like how I build my businesses. Even this podcast is an internet product at the end of the day because you can create we've done experiments now and I can show the graphs on my phone to make AI podcasts and they have we've just managed to get it to have the same retention as the dire CEO. Now with the image generation model retention as in
• 15:30 - 16:00 viewer retention the percentage of people that get to one hour wow is the same now. So we can make the video, we can publish it, we can script it, you can synthesize my voice sounds like me. So what what is it going to be able to do? Mhm. And can you give me the variety of use cases that the average person might not have intuitively conceived? Yeah. So I I tend to be an an optimist and and part of the reason is because I try to understand the limits of the of the technology. What can it do is
• 16:00 - 16:30 anything that we can any sort of set of human data that we can train it on. What can it not do is anything that uh humans don't know what to do because we don't have the training data. Of course, it's super smart because it integrates massive amount of knowledge that you wouldn't be able to read, right? It also much faster. It can run through massive amount of computation that you know your brain you can't even comprehend because all of that they're smart. They can take
• 16:30 - 17:00 actions but we know the limits of what they can do because we trained them. They're able to simulate what a human can do. So the reason you were able to order the water there is because it was trained NSF data that includes clicking on Door Dash and ordering water. I applaud your optimism and I like the way you think about these puzzles, but I think I see you making a mistake that we are about to discover is very common
• 17:00 - 17:30 place. So we have several different categories of systems. We have simple systems, we have complicated systems, we have complex systems and then we have complex adaptive systems. And to most of us, a highly complicated system appears like a complex system. We don't understand the distinction. Technologists often master highly complicated systems and they know, you know, for example, a computer is a
• 17:30 - 18:00 perfectly predictable system inside. There's it's deterministic. Mhm. But to most of us, it functions, it's it is mysterious enough that it feels like a complex system. And if you're in the position of having mastered highly complicated systems and you look at complex systems and you think it's a natural extension, you fail to anticipate just how unpredictable they are. So even if it is true that today there are limits to what these machines
• 18:00 - 18:30 can do based on their training data, I think the problem is to see what's going to happen. You really want to start thinking of this as the evolution of a new species that will continue to evolve. It will partially be shaped by what we ask it to do, the direction we lead it, and it will partially be shaped by things we don't understand. So, how does this computer that that we have work? Well, one of the things that it does is we plug them into
• 18:30 - 19:00 each other using language. It's almost as if you've plugged an Ethernet cable in between human minds. And that means that the cognitive potential exceeds the sum of the individual minds in question. Your AIS are going to do that. And that means that our ability to say what they are capable of does not come down to well we didn't train it on that data. As they begin to interact that feedback is going to take them to capabilities we don't anticipate and may not even
• 19:00 - 19:30 recognize once they become present. That's one of my fears. This is an evolving creature and it's not even an animal. If it were an animal, you could say something about what the limits of that capability are. But this is a new type of biological creature and it will become capable of things that we don't even have names for. Even if it didn't do that, even if it just stayed within the boundaries that you're talking about, you mentioned about it having median level intelligence. Well, that by
• 19:30 - 20:00 definition means 50% of the people on the planet are less intelligent than uh AI. uh you know to a degree it's almost as if we've just invented a new continent of remote workers. Um there's billions of them. They've all got a masters or a PhD. They all speak all the languages. Anything that you could call someone or ask someone over the internet to do, they're there 24/7 and they're 25 cents an hour. Uh if that um so like if that really happened like if we really
• 20:00 - 20:30 did just discover that there were a billion extra people on the planet who all had PhDs and were happy to work almost for free that would have a massive disruptive impact on society. Like society would have to rethink how everyone lives and works and gets meaning. Um so like and that's that's if it just stays at a median level of intelligence. Like it's it's pretty profound. I still think it's it's a tool. this is power that is there to be harnessed by entrepreneurs. You know, I I think that the world is gonna get
• 20:30 - 21:00 disrupted, right? Um and the the you know, the this you know post-war world that we created where you go through life, you go through 12 years of education, you get to college and you just check the boxes, you get a job. We can already see the fractures of that that it is, you know, this American dream is perhaps no longer there. And so I think the world has already changed. So but but like what are the opportunities? Obviously there are downsides. The opportunities is for the
• 21:00 - 21:30 first time access to opportunity is is equal. And I I do think there's going to be more inequality. And the reason for this inequality is because actually Steve Jobs uh you know made this analogy. It's like the the best taxi driver in New York is like 20% better than the you know the you know average taxi driver. the best programmer uh can be 10x better. You know, we call we say the 10x engineer. Now, the variance will
• 21:30 - 22:00 be in the thousandx, right? Like the best the best entrepreneur that can leverage those agents could be better uh could be a thousand times better than than someone who doesn't have the grit, doesn't have the skill, doesn't have the ambition. Right? So, so that that will create a world. Yes, there's massive access to opportunity, but there are people who will take seize it and then they'll seize it and then there'll be people who don't. I imagine it almost like a um a marathon race and AI has two
• 22:00 - 22:30 superpowers. One superpower is to distract people um such as Tik Tok algorithm. That's right. And the other superpower is to make you hyper creative. So you become a hyper consumer or a hyper creator. And in this marathon race, the vast majority of people have got their shoes tied together cuz AI is distracting them. Some people are running traditional race. Some people have got a bicycle and some people have got a Formula 1 vehicle. And it's going to be very confronting when the results
• 22:30 - 23:00 go on the scoreboard and you see, oh, wait a second. There's a few people who finished this marathon in about 30 minutes. And there's a lot of us who finished in like 18 hours because we had our shoes tied together. And I can't understand if we've got equal opportunity why there's so much disparity between how fast it you know and do, you know, I'm using an analogy, but this idea that, you know, someone like a lot of people are going to start earning a million dollars a month and a lot of people are going to say, "Hey, I can't even get a job for $15 an hour."
• 23:00 - 23:30 there's going to be this kind of interesting wedge. Well, but I I hear in what both of you are saying a kind of assumption that this will all be done on the up and up. And I do want to just I am not a doomer. I agree that the doomers are likely incorrect that their fears are misplaced. But I do think we have a question of a related rates problem.
• 23:30 - 24:00 You know I said the potential for good here is infinite and the potential for bad is 10 times. Right? What I mean is there are lots of ways in which this obviously empowers people to do things that they were going to be otherwise stuck in the mundane process of learning to code and then figuring out how to make the code work and bring it to market and all of that. And this solves a lot of those problems and that's obviously a good thing. really the what we should want is the
• 24:00 - 24:30 wealth creation object as quickly as we can get there. But the problem is you know as much as it that hyper creative individual is empowered to make wealth the person who is interested in stealing may be even more empowered. And I'm concerned about that at at a pretty high level. the the abuse cases may outnumber the use cases and we don't have a plan for what to do about that. Um to can I
• 24:30 - 25:00 can I give you a quick uh like introduction here like the optimistic view? OpenAI invented uh GP the first version GPT came out in 2019. 2020 was GPT2 and so OpenAI you know now they get a lot of criticism and lawsuit from IL Musk that they're no longer open source right they used to be. The reason is in GPT2 they said we are we are no longer gonna uh open source this technology because it's going to create um
• 25:00 - 25:30 opportunities for abuse such as you know influencing elections um you know stealing you know grandma's credit card and so on so forth. Wouldn't you say Brett that it is kind of surprising how little abuse we've seen so far? I don't know how much abuse we've seen so far. I don't know how any of us do. And I also even the example that you suggest where chat GPT is no longer open source to prevent abuse. I'm taking
• 25:30 - 26:00 their word for it that that's the motivation. Where as a systems theorist, I would say, well, if you had a technology that was excellent at enhancing your capacity to wield power, then open sourcing it is a failure to capitalize on that. and that the most remunerative use is to keep it private and then either sell the ability to manipulate elections to people who want
• 26:00 - 26:30 to do so or sell the ability to have it kept off the table for people who don't. And I would expect that that's probably what's going on. There's no if you have a technology as transformative as this, giving it away for free is counterintuitive, which leaves those of us in the public more or less at the mercy of the people who have it. So I I don't see the reason for comfort there. We are at the dawn of this radical transformation of humans that by
• 26:30 - 27:00 its very nature as a truly complex and emergent innovation. Nobody on earth can predict what's going to happen. We can we're on the event horizon of something. And the problem is you know we can talk about the obvious disruptions the job disruption and that's going to be massive. And does that lead some group of elites to decide, oh well, suddenly we have a lot of useless eaters and what are we going to do about that? Because
• 27:00 - 27:30 that conversation tends to lead somewhere very dark very quickly. Um, but I think that's just the beginning of the the various ways in which this could go wrong without the doomer scenarios coming into play. This is an uncontrolled experiment in which all of humanity is downstream. Yeah. So I I was trying to make the point that OpenAI has been sort of wrong about the uh the sort of uh how big of a potential for harm it is like you know I think we would have
• 27:30 - 28:00 heard about it in the news like uh the sort of how much harm it's done and maybe you know some of it is working in the shadows but like the few incidents that we've heard about where you know the cause of LLM's large language models the technology that's powering chat has been a huge headliners uh like New York Times talked about this kid that was, you know, perhaps goated by some kind of chat software that, you know, helps teenagers to be less lonely into into suicide, which is which is tragic. And
• 28:00 - 28:30 obviously, these are the kind of safety and and abuse uh issues that we want to we want to worry about. But these are kind of these isolated uh incidents and we do have open- source large language models. Obviously, the thing that everyone talks about is DeepSeek. Deepseek is uh coming from China. So what is Deepseek's incentive? You know perhaps the incentive is to destroy the AI industry in the US. Uh you know when they released Deepseek, you know the market tanked the market for Nvidia, the
• 28:30 - 29:00 market for AI and all of that. But there is an incentive to open source. Meta is open sourcing Llama. Llama is another AI similar to Chat GPT. The reason they're open sourcing Llama and Zuckerberg just says that out loud is basically they don't want to be beholden to open AI. They don't sell AI as a service. They use it to build products. And there's this concept in business called commoditize your compliment because you need AI as technology to run your service. The best strategy to do is to
• 29:00 - 29:30 open source it. So these market forces are going to create conditions that I think are actually beneficial. So I'll give you a few few examples. One is first of all the AI companies are motivated to create AI that is safe so that they can sell it. Second there are security companies investing in AIs that allows them to protect from the sort of malicious uh acting of of AI. And so you have the free market and we've always
• 29:30 - 30:00 had that you know but generally as humanity we've been able to leverage uh the same technology to protect against the abuse. So I I don't really understand this and maybe this is actually this is the exact discussion that you would expect between somebody at the frontier of the highly complicated staring at a complex system and a biologist who comes from the land of the complex and is looking back at highly complicated systems. In game theory we have
• 30:00 - 30:30 something called a colle collective action problem. And in the market that you're describing, an individual company has no capacity to hold back the abuses of AI. The most you can do is not participate in them. You can't stop other people from programming LLMs in some dangerous way. And you can limit your own ability to earn based on your own limitations of what you're willing to do. And then
• 30:30 - 31:00 effectively what happens is the technology gets invented anyway. It just that the dollars end up in somebody else's pocket. So the incentive is not to restrain yourself so that you can at least compete and participate in the market that's going to be opened. And so the number of ways in which you can abuse this technology. Let's take a couple. What is to stop somebody from training LLMs on an
• 31:00 - 31:30 individual's creative output and then creating an LLM that can out compete that individual can effectively not only produce what they would naturally produce over the course of a lifetime but can extrapolate from it and can even hybridize it with the insights of other people so that effectively those who have the LLM can train it on the creativity ity of others, not cut them in on the use of that insight. You can effectively end up putting yourself out of business by putting your creative
• 31:30 - 32:00 ideas in the world where they get sucked up as training data for future LLMs. That is unscrupulous, but it's effectively guaranteed. In fact, it's already happening. So, that's a problem. And likewise, what what would stop somebody from interacting with an individual and training an LLM to become like a personalized con artist? Something that would play exactly to your blind spot. That does happen. That that is starting to happen. Um people get phone calls and it sounds like their
• 32:00 - 32:30 daughter and I've I've lost my phone and I'm borrowing a friend's phone and all of that sort of stuff. What's what's interesting is that I I think you make a a really good point. I worry about the impact on society. And yet when I look at every single individual who uses AI regularly, it almost has nothing but profoundly positive impact on their life. I look at people like um I was just spending some time with my parents-in-law um who are in their 70s and early 80s and they use
• 32:30 - 33:00 AI regularly for all sorts of things that they find incredibly valuable and that improves the quality of their life. I personally did a an M&A a mergers and acquisitions deal where I bought a company last year and the AI was so powerful at helping that process. The conversations were transcribed and they were turned into letters of intent and then press releases and uh legal documents and we probably shaved $100,000 worth of uh costs and and we
• 33:00 - 33:30 sped up the whole process and it was pretty magical to see how how it could happen. With that said, you know, there's there's all of these like, well, $100,000 worth of lawyers didn't get paid, right? So, well, what I want to know, yeah, people upset about, but if we look back at the invention of the cell phone or the invention of the social media platforms, there would be every reason to have the exactly the same
• 33:30 - 34:00 perspective, right? I remember the beginning of Facebook and I remember the idea that suddenly the process that used to afflict people where you would just lose touch with most of the people who had been important to you, that was not something that needed to happen anymore. You could just retain them permanently as a part of a diffuse uh social grouping that just simply grew and value was added. There's no end to how much good that did, but what it did to us was profound and not evident in
• 34:00 - 34:30 the first chapter. Say the same thing about the cell phones and the dopamine traps and the way this has disconnected us from each other, the way it has disconnected us from nature, the way it has altered the very patterns with which we think. It has altered every classroom. Mhm. So, and those things I think are going to turn out to have been sort of minor foreshadowings of the disruption that AI will produce. So, I
• 34:30 - 35:00 agree with you today. The amount you can do with AI, there's a tremendous amount of good. There's a little bit of harm. Maybe that's something we need to worry about. But as this develops, as we get to, you know, to peer over the edge of this cliff that we're headed to, I think we're going to discover that we can't yet detect the nature of the alteration that's coming. So, I just wanted to add some context to that cuz Amjad, I I saw the interview you did in a newsletter in 2023 where you said, "I wouldn't prepare for AGI in the same way that I wouldn't prepare for the end of days." It's
• 35:00 - 35:30 effectively the end of days if the vision of AGI that some of these companies have comes to bear because it's called the singularity moment because you can't really predict what happens after that. And so like how would you even prepare for that and you want to prepare for the more likely world and that world that you can actually predict is a world where yes there's like a massive improvements of technology and there's like insane compounding effects of technology and it's pretty hard to keep up. From that it appeared that in 2023 you were saying a similar thing to Brett in terms of we
• 35:30 - 36:00 can't see around the corner here because it is a singularity. Sorry you also used AGI artificial general intelligence. It'd be interesting to know what your definition of AGI is. say that. Yeah. So, so what what I was saying there is even if I'm wrong that you can actually create a unbounded seemingly conscious artificial intelligence that can entirely replace humans and can act autonomously in a way
• 36:00 - 36:30 that even humans can't act and can coordinate across different AIs, different data centers to take over the world. Even if if that's so so the definition of AGI is artificial general intelligence meaning that AI can acquire new skills in efficiently in the same way that a humans can acquire skills. Right now AIs don't acquire skills efficiently you know they they require massive amount of energy and compute entire data set of compute to acquire these these skills and I think there's a
• 36:30 - 37:00 again a limit on how general intelligence can get I think for most of the time we're lagging in terms of what humans are are capable of doing the singularity is based on this concept of intellig intelligence explosion so once Once you create an AGI, once you create an artificial general intelligence, that intelligence will be able to modify its own source code and create the next version that is much
• 37:00 - 37:30 more intelligent. And the next version creates the next version and the next, you know, for infinity, right? Within a week, within a week, perhaps within milliseconds at some point. Yeah. Right. Uh because it might invent new computing substrate and and and all of that. perhaps they'll use quantum computing and and so then you have this intelligence explosion in a way that it is impossible to predict how the world is going to be and what I'm saying is this is sort of
• 37:30 - 38:00 like an end of time story like how would you even prepare for that so if if that's coming like why would I spend my time preparing for I think it's unlikely to happen can't see around the corner yeah but I'd rather prepare what I was saying there. I'd rather prepare for the more likely world in which we have access to tremendous power, but the world's not ending and humans are still uh important.
• 38:00 - 38:30 I don't I don't know why you say more likely. I mean, I I think the structure of your argument is is sound. You would prepare for the world that might happen for which you can prepare. There's literally no point in trying to prepare for a world You can't predict it all. The only thing you can do is just sort of upgrade your own skills and pay attention. But if I have one message for the technologists, it's that your confidence about what this can and
• 38:30 - 39:00 cannot do is misplaced because you have without noticing stepped into the realm of the truly complex. In the truly complex, your confidence should drop to near zero. that you know what's going on. Are these things conscious? I don't know. But will they be highly likely they will become conscious and that we will not have a test to tell us whether that has happened. Elon Musk predicts that by
• 39:00 - 39:30 2029 we will have AI with us AGI that surpasses the combined intelligence of all humans. And Sam Alman actually wrote a blog three months ago that I read where he said we are confident now Sam Alman being the founder of open arrow which um created chatbt we are confident now that we know how to build AGI as we have traditionally understood it. When I put these things together, I go back to the central question of what role do humans have in in this in the sort of professional output in GDP creation. If
• 39:30 - 40:00 it's smarter than all humans combined, if Elon Musk is correct there, and it's able to take actions across the internet and continue to learn. This is like a central question that I'm hoping I can answer today, which is like where do we go? Yeah. I I mean in my vision of the world we are in the creative seat. We're sitting there where um we we are controlling swarms of intelligent being to do our job. You know the way you run
• 40:00 - 40:30 your business for example you're sitting at a computer you have an hour to work. Yeah. and you're going to launch like a thousand SDR you know sales uh you know representative to go like grab as as many leads as possible and you're generating new update on replet for for your website here and then uh on this side you you you're actually you you have an AI that's crunching data about your uh your existing business to to figure out how to improve it and these
• 40:30 - 41:00 AIs are kind of somehow all coordinating together and I am trying to privilege the human like this is my my mission is to uh build tools for people. I'm not building tools for agents and agents are a tool and so ultimately not only do I think that humans have a privileged position in the in the world and in the universe. We don't know where conscious consciousness is coming from. We don't really have the science to explain it.
• 41:00 - 41:30 Um I think humans are special. That's one side is is my belief that humans are are special in the world and another side which I understand that the technology today and I think for the foreseeable future y is going to be a function of us training data. So there was this whole idea like what if chat GPT generates uh pathogens. Well have you trained it on pathogens? They were doing that kind of stuff in Wuhan. know I mean I mean a lot of the biotech
• 41:30 - 42:00 companies are essentially using artificial intelligence like I can think of Abselera I think it's Abselera in Canada their whole business is using AI to create new vaccines using artificial intelligence and bigger data sets than we've never have had before and I know cuz I was I was very close to one of the founders of people involved in Absela so that that work is going on anyway and if we think about Wuhan that's it's quite probably well known now that it came out of a lab and people working in a lab and in that scenario that had a huge impact and shut down the world. What I'm the
• 42:00 - 42:30 central question I'd love to answer before I throw it back open to the the room is what jobs because I know that you have this perspective. What jobs are going to be made redundant in a world where I am sat here as a CEO with a thousand AI agents, right? I was thinking of all the names of my of the people in my company who are currently doing those jobs. I was thinking about my CFO when you talked about processing business data, my graphic designers, my video editors, etc. So what what jobs are going to be impacted? Yeah, all of those. Uh so I I think and what do they do? You maybe
• 42:30 - 43:00 this is useful for for the audience. I think if your job is as routine as it comes, your job is gone in the next couple years. So meaning if you if in in those jobs for example uh quality assurance jobs data entry jobs you're sitting in front of a computer and you're supposed to click uh and and type things in a certain order operator and those technologies are coming on the market really quickly and those are going to displace a lot of a lot of uh
• 43:00 - 43:30 labor accountants accountants noise yes I mean I've just pulled a ligament in my in my foot and they did an MRI scan and I had to wait a couple of days for someone to look at the MRI scan and tell me what it meant. Yeah, I'm guessing that that's gone. Yeah, I think I think the healthcare ecosystem is hard to predict because of regulation and and again there there's so many limiting factors on how this technology can permeates the economy because of regulations and and people's willingness to to take it. But you know things
• 43:30 - 44:00 unregulated jobs uh that are purely text in text out. if your job, you know, you get a you get a message and you produce some kind of artifact that's like probably text or images that that job is is at risk. So, just to give you some stats here as well, about 50% of Americans who have a college degree currently use AI. The stats are significantly lower for Americans without a college degree. So, you can see how a splinter might emerge there and that crack will write widen because
• 44:00 - 44:30 people like us at this table are all messing around with it. But my mom and dad in Plymouth in the southwest, rural England, haven't got like they just figured out iPhones. So like I got them an iPhone and now they're like texting me back. AI is a million miles away. And if I start running off with my AGI, my agents, that gap is going to widen. Women are disproportionately affected by automation, which is what you were talking about there. with about 80% of working women in an at risk job compared to just over 50% of men according to the Harvard Business Review and jobs requiring only a high school diploma have an automation risk of 80% while
• 44:30 - 45:00 those requiring a bachelor's degree have an automation risk of just 20%. So we can see again how how this will cause a sort of a it's also a huge risk um with business processor out outsourcing which is essentially western countries sending jobs to India to the Philippines like at the moment millions of people have been lifted out of poverty through the ability to do those kind of business process auto outsourcing jobs and those are all going to go but these they're
• 45:00 - 45:30 going to have a thousand employees but but but uh also uh these people are actually already transitioning to training AI eyes. Mhm. You know, so so there's going to be a massive industry around training AI until they're trained. Well, no, you you have to continuously acquire new skills and this is what I'm talking about. I mean, this is again if AI is a function of its data, then you need increasingly more data. And by the way, we ran out of internet data. I was actually thinking interestingly that this might not be great for the United States or the UK, the Western world because it is going to be a leveler where now a kid in India
• 45:30 - 46:00 doesn't need a Silicon Valley office and $7 million in investment to throw up a a software company basically. My yeah my belief is that so I have a I have a more broad definition of AGI and the singularity and for me AGI is do we have artificial general intelligence in terms of generally speaking can AI just do stuff that humans used to be able to do and we've already crossed that point we have this general intelligence that we can now all access and 800 million people a week are now using uh chat GBT
• 46:00 - 46:30 it's it's exploded in the last 3 months and then to me a singularity Uh when the first tractor went out onto a farm, for me that was a singularity moment. Uh because everyone who worked in farming, it used to take a 100 people to plow a field and now a tractor comes along and two guys with the tractor can now plow the field in just as much time and now 98 people out of 100 are completely out of a job. We also always underestimate a technology if it does go on to change history. When
• 46:30 - 47:00 you look back through cars, horses, planes, the Wright brothers just thought of a plane as being something that that army could use, we had no idea of the application. So someone said to me recently, they said, "When it does change the world, we underestimate the impact that it will change the world." And I see people now with their estimations of AI and AI agents already incredibly optimistic. And so if history holds here, we're undershooting the impact it's going to have. And I think this is the first time in my life where the industrial revolution analogies seem
• 47:00 - 47:30 to fall a little bit short. Yeah. Because we've never seen intelligent that's like you could I could think of this as a I'm not an intelligent person on this, but I could see that as like the disruption of muscles, whereas this is the disruption of intelligence. That that's that's exactly the thing is that what makes human beings special is our cognitive capacity and very specifically our ability to plug our minds into each other. So that the sum is is uh or the whole is greater than the sum of the parts. That's what makes human cognition
• 47:30 - 48:00 special. And what we are doing is we are creating a something that can technologically surpass it without any of the preconditions that make that a safe process. So yes, we've revolutionized the world how many different times? It's innumerable. But you know, we've we've made farming vastly more efficient. That's different than taking our core competency as a species and surpassing ourselves with the product of our of our labor. I think
• 48:00 - 48:30 your question is a good one. Then then what does become? We only have one thing left. Um we have our muscles which we got rid of in the industrial revolution and then we have our intellect which is this digital revolution. Now we're left with emotions and agency. So we essentially the the the agency idea I think we used to judge people on IQ and now IQ is the big leveler and now going forward for the next 10 years we're going to look at are you a high agency person or a low agency person. Do you have the ability to get things done and
• 48:30 - 49:00 coordinate agents? Do you have the ability to start businesses or give orders to digital armies? uh you know and and essentially these high agency people are going to thrive in this new world because they have this other thing that's been bubbling under the service surface which is really interesting when you said agency is going to remain as an important thing we're sat here talking about AI agents and the crazy thing in a world of AI agents that have super intelligence is I can just tell my agent
• 49:00 - 49:30 listen I'm going on holiday please build me a SAS company that spots a market opportunity throw up the website post it on my social media channel I'll be in Hawaii I and this new agentic world is stealing that too cuz now it can take action in the same way that I can browse the internet. I can call Domino's Pizza, speak to their agentic agent, organize my pizza to be there before I even wake up. And in fact, predictability, you know, OpenAI now learns and Sam Alman said that they've expanded the memory feature. So, it knows every it's knowing
• 49:30 - 50:00 more and more and more and more about me. It'll almost be able to predict what I want when I want it. It'll know Steve's calendar. He's arriving at the studio. Make sure his cadence is on the side. Make sure his iPad has the brief on it. Do the brief. Do the research for me. And everything else say remember Brett's birthday so when I arrive there'll be something. In fact, it's removing my need for any agency. Yes. And you know again I don't know how to make this point so that it occurs to people what I'm really suggesting but today maybe it's not conscious but
• 50:00 - 50:30 well let me put it to you this way. If you're conscious, you started out as a child that wasn't. And although this may not fully encapsulate it, you are effectively an LLM, right? You go from an unconscious infant to a highly conscious adult. And the process by which you do that has a lot to do with being trained effectively on words and
• 50:30 - 51:00 other things in an environment in exactly the way that we now train these AIs. So the idea that we can take consciousness off the table, it won't be there till we figure out how to program it in and we're safe because we don't know how consciousness works. I take the opposite lesson. We've created the exact thing that will produce that phenomenon and then we can have philosophers debate whether it's real consciousness or it just behaves exactly as if it were. And the answer is those aren't different. Doesn't matter. And the same thing is true for agency. you know, especially if you've created an environment in which
• 51:00 - 51:30 these AIs are de facto competitors, what you're effectively doing is creating an evolutionary environment in which they will evolve to fill whatever niches are there. And we didn't spell out the niches. So, I have the sense we have um we have invited we have we have created something that truly is going to function like a new kind of life and it's especially troubling because it speaks our language. So that leads us to believe it's more like us than it is and it's actually potentially quite
• 51:30 - 52:00 different. So but by the way, he's the optimist here, right? Like he's so optimistic about LMS and how how they're going to they're going to evolve. Yes. It's amazing. It's amazing technology. Like I think it raised global IQ, right? Like 800 million people like 800 million people are that much more intelligent and emotionally intelligent as well. Like I know people who previously were very coarse and they kind of robbed people the the the wrong way. They they
• 52:00 - 52:30 would say things in not so polite way and then suddenly they started putting their the you know what they're saying through chat in order to kind of make it kinder and nicer and they're more liked now. And so not only is it uh making us more intelligent but also it allows us to be the best version of ourselves. And the the scenario that you're talking about, I don't think I don't know what's wrong with that. Like, you know, you know, the I would want less agency in certain places. Like, I would want
• 52:30 - 53:00 something to help me not, you know, open up a peanut butter jar at night, right? You know, there are places in my life where I need more control and I would rather seed it to some kind of entity that could help me make better choices. I mean unfortunately even if there is some small group of elites that are able to go to Hawaii while something else
• 53:00 - 53:30 does the mundane details of their business building. We are rather soon going to be faced with a world that has billions of people who do not have the skills to leverage AI. Some of them will be necessary for a time. you're going to need plumbers. But this is also not a long-term solution because not only are there not enough of those jobs,
• 53:30 - 54:00 um, but of course we have humanoid robots that once imbued with AI capacity will also be able to take, you know, they'll be able to crawl under your house into the crawl space and fix your plumbing. So what typically happens when you have a massive economic contraction that arises from the fact that a huge number of people are out of work is that the elites start looking at those people and thinking well we don't really need them anyway. And so the idea that this AI
• 54:00 - 54:30 disruption doesn't lead us to some very human catastrophe I think is overly optimistic and that we need to start preparing right now. What are the rights of a person who has had whatever it is that they've invested in completely erased from the list of needs? Is that person responsible for not having anticipated AI coming? And is it their problem that that they are now starving and they're being eyed by others as you know a useless eater? I don't think so. How is it different than uh when the uh
• 54:30 - 55:00 uh what's it called the the looming machine came and the textile workers you know that the result of the in the lad sort of revolution? uh h how is it how is it different than any time in history when uh technology uh automated a a lot of people out of out of jobs? I would say scale and speed that's how it's different and the scale and speed is going to result in a an unprecedented catastrophe because the rate at which people are going to be simultaneously sidelined not just in one industry but across every industry is just simply uh
• 55:00 - 55:30 and it also did actually happen. There was a there was an uh for the first 50 years of industrialization from like late 1700s to early 1800s, you actually the Charles Dickens novels are essentially people coming from the farms who are displaced arriving in cities, kids living on the streets. Uh the British decided to pick everyone up and send them over to the over to Australia, which is where I came from. um and uh
• 55:30 - 56:00 you know there there were this there was this massive issue of displacement. I think we're going to go into a high velocity economy where rather than this long arc of career that lasts 45 years, we're going to have these very fast careers that last 10 months to 36 months. and you invent something, you take it to market, you put together a team of five to 10 people who work together, you then get disrupted, you come Can I mention a story here? Uh
• 56:00 - 56:30 there's an entrepreneur that used Replet in a similar way. Uh his name is Billy Howell. You can find him on YouTube on the internet. He would go to Upwork and he would find what people are asking for different requests for certain apps, technologies. Then he would take the what they're asking for, put it into replet, make it an application, call them, tell them, "I already have your application. Would you pay $10,000 for it?" And so, so that's sort of an arbitrage opportunity that's that's there right now. That's not arbitrage.
• 56:30 - 57:00 That's theft. How is no what is it? How is that theft? You have somebody who has an idea that can be brought to market and somebody else is cryptically detecting it and then selling back their own idea to them. Well, they're paying them to do that. They're saying, "I will give you $500 if you if someone makes this for me." Right? But this is what I more or less think is going to happen across the whole economy is that yes, from this perspective, we can see that everybody is suddenly empowered to build a great business. Well, what do we think
• 57:00 - 57:30 about the folks who are going to be displaced from the top? What are they going to think about all these people building all of these highly competitive businesses? And are they going to find a way to do, you know, what venture capital has done or what record producers have done? What they're going to do is they're going to take their superior position at the top and they are going to take most of the wealth that is produced by all of these people who have these ideas that in a proper market would actually create businesses for them and they're going to parasitize them. I think that we with this in
• 57:30 - 58:00 introduction of AI and AI agents old value has moved and now it's not going to be the case that the idea itself is the moat and it's not going to be the case that resources are the moat. So in such a scenario you still have to figure out distribution. You still have to have for example like an audience. So if you're a podcaster now you have a million followers on Twitter. you're in a prime position because you now have something that the the great guy with a great idea with no audience has you have
• 58:00 - 58:30 inbuilt distribution. So I now think actually much of the game might be moving to like yeah still about taste and idea but also the the mo is distribution. Yeah. And speaking of adaptive systems um the one of the adaptation that will happen is people will seek uh humans and will seek proof of humanity. Oh, I agree that uh authenticity is going to become the coin of the realm and anything that can be faked or cheated is going to be devalued
• 58:30 - 59:00 and things you know spontaneous jazz or you know comedy that is interactive enough that it couldn't possibly have been generated with the aid of AI those things are going to become prioritized you know spontaneous oratory rather than speeches answers some of your questions no it answers it answers my question for the tiny number of people who are in a position to do those things. Stephen, you use the mo word moat. Um, which I think is a really important word for entrepreneurs. We like we like have to have a moat. We think a lot about moes
• 59:00 - 59:30 and it's an industrial age. A lot of people don't even know what a moat what you mean by moat. It's just I often think about this idea of what are the moes that are left. So to define how I define a mo, you've got a castle and it's got a like a small circle of water around it. And once upon a time that circle of water defended the castle from attack and you can pull up the drawbridge so nobody could attack you very easily. It's a de defense from something. So it's your it's your shield. It's your your defense. And once upon a time as an entrepreneur, you know, I've got a software company in San Francisco called Third Webb and we
• 59:30 - 60:00 raised almost $30 million. We have a team of 50 great developers. And much of our moat was you can't compete with us if you don't have the 50 developers and the $30 million in the bank. How much of that 30 million went to coding? The vast majority of it. I mean what else are we going to do? What else we do? So this is a good thing. I think modes are a bad thing. Okay, let me make the argument there. Uh so everyone is looking for modes you know for example like one of the more uh significant modes is network effects. Yeah, you know, so you can't
• 60:00 - 60:30 compete with Facebook or Twitter because to move people from Facebook or Twitter, you need to it's the collective action problem. You need to move them all at once because if one of them moves, then it's the network is not valuable, they'll go back. So you have this chicken and egg problem. Let's say that we have a more decentralized way of doing social networks that will remove the power of Twitter to kind of censor
• 60:30 - 61:00 and I I think you're at the other end of of censorship, right? And so part of my optimism about humanity is that um generally there's self-correction. Democracy is a self-correcting system. Uh free markets are largely self-correcting systems. There are obvious problems with with free markets that that we can discuss. But take um health, you know, there is obesity uh epidemic. This period of time when uh companies, you know, ran loose kind of
• 61:00 - 61:30 making this sugary, salty, fatty kind of snacks and everyone gorged on them and everyone got very uh you know, unhealthy. And now you have Whole Foods everywhere. Today, people in Silicon Valley, they don't go to bars at all. They go to running clubs. That's how you meet. That's how you go find a date. You go to running clubs. And so, there was a shift that happened because there was a reaction. Obviously, cigarettes is another example. You know, you were
• 61:30 - 62:00 talking about phones and our addiction to phones. And I see a shift right now like in my uh friend circle like people who are constantly kind of on their phones is already kind of frowned upon and they don't want to hang out with you because you're you're constantly staring on on your phone. So there's always these reactions and and but the problem is you you reference selfcorrection and I agree that there's actually an automatic feature of the universe in which the self-correction happens. You can't have a positive feedback that isn't reigned in by some outer negative
• 62:00 - 62:30 feedback. But the corrections, the list of corrections involves things like you point to where people become enlightened and they realize that they're doing themselves harm with either the sugar that they're consuming or the dopamine traps on their phone and they get better. But also on the list of corrective patterns are genocide and war and you know parasetism. And the problem is these things are destructive of
• 62:30 - 63:00 wealth. And so you allude to the superior fact of an open market without moes. Presumably the benefit of that is that more wealth gets created because people aren't kept from doing things that are productive. I see that. But then what is the product of all of this new wealth that is going to be generated by a world empowered by AI? Does it end up so highly concentrated that you have a tiny number of ultra elites and a huge number of people who are utterly dependent on them? What
• 63:00 - 63:30 becomes of those people? The learning process, the self-correction pro process goes through harm in order to get to that more enlightened solution. There's nothing that protects us from the harm phase being so apocalyptically terrible that, you know, we get to the other side of it and we say, "Well, that was a hell of a correction." Or maybe there's nobody there to even say that. Those are also on the table. It reminds me of a mouse trap where you see the cheese and we're going, "Oh my god, my grandmother's going to be able to do some research and oh my god, my life's
• 63:30 - 64:00 going to get easier." So you head closer and closer to the cheese. And historically, if we look at all of the last 10,000 years, it's a very small number of elites who own absolutely everything and a very large number of surfs and peasants who have a subsistence living. You know, if the elites are too greedy and they freeze out the peasants at too high a level and they try to use brutality or Yeah. eventually it comes back to haunt them. And so what you get is a recognition that you you need a system that does
• 64:00 - 64:30 balance these things and you know the west has the best system that we've ever seen. It's one in which we agree on a level playing field. We never achieve it but we agree that it's a desirable thing and the closer we get to it the more wealth we create. But again, if AI empowers those with ill intent at a higher rate that it empowers those who are wealth creating and pro-social, we may be in for a massive
• 64:30 - 65:00 regression in how fair the the market that the West is. Is that your top concern versus economic displacement? And I think they're the same thing. How are they the same thing? because the economic displacement is going to start. I don't know how many million people are going to be displaced from their jobs in the US. Suddenly, we're going to have a question about whether or not we have obligations to them. And you agree with that, don't you? Yes. But but but again, it's it's
• 65:00 - 65:30 the no pain, no gain. I mean, we're going to go through a period of of disruption. And I think at the other end, the old, you know, sort of oppressive systems will be broken and we're going to create perhaps a fair world, but it's going to have its own its own problems. And what's the scale of that disruption in your estimation? It's hard to say because uh you know there's this concept of limiting factors like you know there is um regulation there's the appetite of people to today
• 65:30 - 66:00 for example the health care system is very resistant to innovation because of regulation you know and that's a that's a bad thing on the regulation point it's worth saying that when Trump came into power he signed in a new law which is called removing barriers to American leadership in AI which revokes previous AI policies that were deemed to be restrictive. And obviously when you think about where the funding is going in AI, it's going to two places. It's going to America and it's basically going to China. That's the the vast majority of investment. So with those
• 66:00 - 66:30 two in competition, any regulation that restricts air in any way is actually self-sabotage. Mh. And this is, you know, I live in Europe some of the time and it's already annoying to me that when Sam Alman and OpenAI released the 03 model, this new incredible model, it's not in Europe because Europe has a regulation which prevents it from coming to Europe. So, we're now at a competitive disadvantage um which Sam Alman spoken about. And more broadly on this point of disruption, it was I was quite unnerved when I heard that Sam Wolman's other
• 66:30 - 67:00 startup was called Worldcoin. And Worldcoin was conceived with the goal of facilitating universal basic income, i.e. helping to create a system where people who don't have money are given money by the government just for being alive to help them cover their basic food and housing needs. Which suggests to me that the guy that has built the biggest air company in the world can see something that a lot of us can't see which is there. Yeah. There's gonna need to be a system to just hand out money to
• 67:00 - 67:30 people because they're not going to be able to survive otherwise. I fundamentally disagree with that. Which part do you disagree with? I disagree that first of all that humans would be happy with UBI. I I think that you know uh you know core value of humans and be curious about the evolutionary reasons is we want to be useful. It's really important to know that a lot of the jobs that are in at risk are the most high status, highly paid jobs in the world. Let's take the highest paid job in America um which is an anesthesiologist. Uh this is the highest
• 67:30 - 68:00 paid job and highest paid salary job. Salari job. Yeah. And the majority of that job is observing a patient, knowing which type of medication would work best with their body. um giving them the exact right amount, monitoring the impact of that uh on the on the body and then making slight adjustments, the right technology and any nurse will be able to do that job. And you might have one anesthesiologist on on
• 68:00 - 68:30 site supervising 10, 20, 30, 40 wards and the technology is, you know, doing the job, but that one person is there just to kind of supervise if something went wrong or if there was an ethical dilemma. What's wrong with that? I mean, if if if the precision is better where they are. No, there's nothing wrong with that except for the fact that a lot of people, hundreds of thousands of people have spent their entire life training to be that, they get an enormous amount of purpose and satisfaction about the fact that that's their career, that's their job. They have mortgages, they have
• 68:30 - 69:00 houses, they have status, and that's about to go away. Well, if it's highest paid jobs, maybe you should start saving. Yeah. Well, I mean, but yeah, I I hear I hear you, but you're talking about people who have done vital work. Mhm. Highly specialized work and are therefore not in a great position to pivot pivot based on the invention of a technology that they didn't see coming because frankly, I mean, in the
• 69:00 - 69:30 abstract, maybe we all saw AI coming somewhere down the road, but we did not know that it was going to suddenly dawn. And we do have to figure out what to do with those people. It's not their fault that they've suddenly become obsolete and it's inconceivable that people will accept this. It is not. It is fundamentally incompatible with our nature. We have to have things to strive for and you know you can sustain life that way but you cannot um sustain a
• 69:30 - 70:00 meaningful existence and so it's a short-term plan at best. Let's talk about meaning. Um on that point of job displacement this is already happening. Cler CEO who has been on this podcast before, a great guy, um said to on a blog post that they published on Cler's website saying that they now have AI customer service agents handling 2.3 million chats per month, which is equal to having to hire 700 full-time people to do that. So, they've already been able to save on 700 customer service
• 70:00 - 70:30 people by having air agents to do that. And they actually they actually got rid of those 700 jobs, right? I don't have that information in front of me, but I'll have a look. Um, I'll throw it up on screen for anyone that wants context on that. But that's already happening. This isn't some antologist or something. And these aren't high paid people in every case. We've done something similar, by the way. We've we internally we've we've replaced that function for 70%. Yeah. I mean, our company, we're 65 people and, you know, we um, you know,
• 70:30 - 71:00 we make, you know, millions per per head, you know. So, it's a Are you going to need to hire more people to get up to I think so, but we're we're hiring slowly, like, you know, we're we're using uh customer support, AI, and that meant that we we need less uh customer support, and we're trying to leverage AI as much as possible. the the person in HR at Replet writes software using Replet. So, I'll give you an example. She needed um Orc charts uh software and
• 71:00 - 71:30 she looked at a bunch of them, got a lot of demos and they're all very expensive and they they're missing the kind of features that she want. For example, she wanted like version control. She wanted to know when when something changed and to go back in history. She went into replet in 3 days she got exactly the kind of software that she wanted and what was the cost you know perhaps $20 you know something like that $ 20 $30 once right and um how many employees in HR do we need right now we have two uh
• 71:30 - 72:00 if if they're highly levered like that maybe we do not need a 20 HR team on this point of meaning I've heard so many billionaires in AI describe this as the age of abundance and I'm not necessarily sure If abundance is always a great thing because you know when we look at mental health and we look at why how people derive their meaning and their purpose in life much of it is having something to strive towards and some struggle in a meaningful direction to you and this is
• 72:00 - 72:30 maybe adjacent but when there was a study done I think it was in Australia where they looked at suicide letters and in the suicide letters the sentiment of men in those suicide letters was they didn't feel worthy they didn't feel like they were worth it. They didn't feel like they were needed by their families. And this is much of what caused their psychological state. And I wonder in a world of abundance where we, you know, a lot of these AI billionaires are telling us that we're going to have so much free time and we're not going to need to
• 72:30 - 73:00 work. If there is at all going to be a crisis of meaning, a mental health problem. I mean, there already is. And it doesn't require AI and it's going to get worse. I don't know what to do about it because essentially as human beings we are built like all organisms to find opportunity and figure out how to exploit it. That's what we do. And the world you're describing is really the opposite of that. It's one where you're effectively having your biological needs at the physiological level satisfied and
• 73:00 - 73:30 there isn't an obvious place for your spare time if that's what you end up with to be utilized in something that you know there's no place to strive and I do imagine almost at best what would happen is you have people who are being sustained by a universal basic income come and then parasetized uh you know whatever currency they have to spend somebody will be targeting it
• 73:30 - 74:00 and they will be targeting it with a an AI augmented system that spots their defects of character. I mean, again, we're already living in this world, but it will be that much worse when the AI is figuring out, you know, what kind of porn to target you with specifically. That's uh it's a nightmare scenario. And I do think it would be worth our time as a species to start considering if we are about to find ourselves in this situation and we find some way of
• 74:00 - 74:30 dealing with the basic needs of the large number of people who are going to be sidelined. What would a world have to look like in order for them to have real meaning? Not pseudo meaning, not something that you know superficially, you know, a video game is not meaning even if it feels very meaningful in the moment. I I think that would be a a worthy investment for us to figure out how to produce it. But frankly, I'm not expecting us to either have that conversation or get very far down that road. I think it's much more likely that we will squander the wealth dividend
• 74:30 - 75:00 that will be produced by by AI. Interestingly, you also see in Western countries that when we get more abundance, we start having less kids. And we're already seeing this sort of population decline in the Western world, which is was kind of scary. I think it's often associated with affluence like the more money someone makes the less likely they are to want to want to have children the more they try and protect their freedoms. But also on this point of AI relationships are hard you know my girlfriend is happy sometimes and not
• 75:00 - 75:30 happy other times and I have to like you know go through that struggle with her of like working on the relationship. Children are hard and if we are optimizing ourselves and you know much of the reason that I sustain the struggle with my girlfriend is I'm sure from some evolutionary reason because I want to reproduce and I want to have kin but if I didn't have to deal with the struggle that comes with human relationships romantic or platonic there's going to be a proportion of people that actually choose that outcome and I wonder what's going to happen to
• 75:30 - 76:00 birth rates in such a scenario because we're already struggling. We're already in a situation where we used to be having five children per woman in the 1950s to about two in 2021. And we're seeing a decline. If you look at South Korea, their fertility rate has fallen to 72, the lowest recorded globally. And if this trend continues, the country's population could half by 20, 100.
• 76:00 - 76:30 So yeah, relationships, connections, and and also I guess I guess we've got to overlay that with the loneliness epidemic, which is they promised us social connection when social media came about, when we got Wi-Fi connections, the promise was that we would become more connected. But it's so clear that because we spend so long alone, isolated, having our needs met by Uber Eats drivers and social media and Tik Tok and the internet, that we're investing less in the very difficult thing of like going and making a friend and like going and finding a girlfriend. Young people are having sex
• 76:30 - 77:00 less than ever before. Everything that is associated with the difficult job of making in real life connection seems to be um falling away. I I will make the case that everything that we've discussed here, all the negative things around loneliness, um around meaning, they're already here. And I don't think blaming technology for all of it is is the right thing. Like I think there are a lot of things that happened because of existing human uh
• 77:00 - 77:30 you know, impulses and and motivations. Um well I I wanted to go back to where you started because I do think that this maybe is the fundamental question. Why is it that we are already living in a world that is not making us happy? And is that the responsibility of technology? And I don't think it's exactly technology. Human beings uh among our gifts are fundamentally technological whether we're talking about quantum computing or
• 77:30 - 78:00 flintnapping an arrow head. What has happened to us that has created the growing, spreading, morphing dystopia is a process that Heather and I in our book, A Hunter Gather's Guide to the 21st Century, call hyper novelty. Hypern novelty is the fact of the rate of change outpacing our capacity to adapt to change. And we are
• 78:00 - 78:30 already well past the threshold here where the world that we are young in is not the world that we are adults in. And that mismatch is making us sick across multiple different domains. So the the question that I ask is is the change that you're talking about going to reduce the rate of change in which case we could build a world that would start meeting human needs better open opportunities for pursuing meaningful work. or is it going to accelerate the
• 78:30 - 79:00 rate of change which is in my opinion guaranteed to make us worse off. So if it was a one-time shift, right, AI is going to dawn. It's going to open all sorts of new opportunities. There's going to be a tremendous amount of disruption, but from that we'll be able to build a world. Is that world going to be stable or is it going to be just, you know, one event horizon after the next? If it's the latter, then it effectively says what it does to the humans, which is it it's going to dismantle us. When I
• 79:00 - 79:30 look out at society, I I go, okay, it's having a negative impact. When I look at um individual use cases, it's having a profoundly positive impact. Including for me, it's having a very positive impact. So, it's it's one of these things where I wonder what is that what is it that we need to teach people at school so that they understand the world that we're going into? Because one of the biggest issues that we're having is that we're sending kids to school with this blueprint, this template that they're going to have this long arc
• 79:30 - 80:00 career that no longer exists that essentially we're treating them like learning LLMs. And we're saying, "Okay, we're going to prompt you. You're going to give us the right answer. you're going to hallucinate it if possible. And you know, and and then we go, "Okay, now go off into the world." And they go, "Oh, but wait a second. I don't know how money works. I don't know how society works. I don't know how my brain works. I don't know how I meant to handle this novelty problem. I'm not sure how to approach someone in a in a social situation and ask if they want to go on a date." Um so all the important things
• 80:00 - 80:30 that actually are the important milestones that people want to be able to hit and that technology can actually have an impact on we get no user manual. So I think one of the biggest things that has to happen is we have to equip uh young people all through school that to actually prepare them for the world that's coming or the world that's here. Well on the one hand I think you you outline the problem very well. effectively we have a a model of what school is supposed to do that you know
• 80:30 - 81:00 at best was sort of a match for the 50s or something like that and it woefully misses the mark with respect to preparing people for the world they actually face if we were going to prepare them I would argue that the only toolkit worth having at the moment is a highly general toolkit the capacity to think on your feet and pivot as things change is the only game in town with respect to our ability to prepare you in advance. Maybe
• 81:00 - 81:30 the the other auxiliary component to that would be teaching you what we know which is frankly not enough about how to live a healthy life. Right? If we could if we could induce people into the kinds of habits of behavior and the consumption of food and then train them to think on their feet, they might have a chance in the world that's coming. But uh the fly in the ointment is we don't have the teachers to do it. We don't have people who know. And that is the
• 81:30 - 82:00 question is could the AI actually be utilized in this manner to actually induce the right habits of mind for people to live in that world. I I I spent a lot of time in education technology. One thing that is as we say on the internet a black pill about education in general, education intervention is there's a lot of data that shows that there are very little interventions you can make in education to generate better outcomes. Um and so
• 82:00 - 82:30 you know uh there's been a lot of experiment around pedagogy around you know how to configure the the the classroom that have resulted in very marginal improvements. There's only one intervention and this this has been uh reproduced many times that creates two sigma two standard deviation uh positive outcomes in education meaning you're better than 99% of uh of of everyone else and that is one-on-one
• 82:30 - 83:00 tutoring I thought so I was going to say smaller classrooms and personalization one-on-one tutoring yeah and and but by the way if you look someone also did a survey of all the geniuses the understanders of the world and found that they all had one-on-one tutoring. They all had someone in their lives that took interest in them and tutored them. So, what can create one-on-one tutoring opportunity for every child in the world? AI. AI. My kids use it and it's incredible. Yeah. As in like um they're interacting and and it's adapting to
• 83:00 - 83:30 their speed. Yes. And um it's giving them different analogies to work with. So, like, you know, my son was learning about division and it's asking him to smash glass and how many pieces he smashes it into with this hammer and, you know, and it's saying things like, "No, Xander, go for it. Really smash it." And um and he's loving it, right? Is that synthesis? Yeah. Yeah. I'm an investor in this company. Oh, well, it was it was it's great to watch that simulated one-on-one tutoring because it's talking to him. It's asking him
• 83:30 - 84:00 questions. Brett, you're an educator. you uh spent much of your life teaching people in universities. How do you receive all of this? Well, on the one hand, I agree that the uh the closer to one to one you get, the better. But I also personally believe that 0ero to one is best. And what I mean by that is part of what's gone wrong with our educational system is that it is done
• 84:00 - 84:30 through abstraction. And effectively the arbiter of whether you have succeeded or failed in learning the lesson is the person at the front of the room. And that's okay if the person at the front of the room is truly insightful. And it's terrible if the person at the front of the room is lackluster, which happens a lot. So what doesn't work that way is interaction with the physical world in which nobody has to tell you whether you've succeeded or failed. If you're faced with an
• 84:30 - 85:00 engine that doesn't start, you can't argue it into starting. You have to figure out what the thing is that has caused it to fail, and then there's a great reward when you alter that thing and suddenly it fires up. So, I'm a big fan of being as light-handed as possible and as concrete as possible in teaching. In other words, uh, when I've done it, and not just with students, but with my own children, I like to say as little as possible, and I like to let physical
• 85:00 - 85:30 systems tell the person when they've succeeded or failed. And that creates an understanding. You can extrapolate from one system to the next. And you know that you're not just extrapolating from one person's misunderstanding. You're extrapolating from the way things actually work. So, I don't know if AI can be leveraged in that context. My sense is there's probably a way to do it, but one would have to be deliberate about it, especially with robotics and humanoid robots. Actually, that is that is the place uh where where you can do
• 85:30 - 86:00 this is with robotics that um it seems to me. Yeah. Well, robotics will teach you the physical computing part of it. And then the question is how do you infuse this with AI so that um it is that it you know it provokes you out of some eddy where you're caught and moves you into the ability to solve some next level problem uh that you you wouldn't have found on your own. What do what do you think should be taught in the classroom with everything that you
• 86:00 - 86:30 now know? Well, you're all fathers here. You all have your own children. So, it's a good question for you. How old are your kids? How old are your kids? Uh three and five. 19 and 21 and six, seven, and 10. My children are very young, but uh we already do use AI and I sit down with them in front of replet and we generate ideas and make make games. And um I would say, you know, what Brett said about generality is very important. The ability to pivot and kind of learn skills quickly. Being
• 86:30 - 87:00 generative is very very important. Having a you know a fast pace of generating ideas and iterating on those ideas. We sit down in front of Chad GPT and my kid imagines scenario. Oh, what if you know there's a there's a cat on the moon and then you know what if the moon is made of cheese and what if there's a mouse inside it or and so we keep generating these um variations of these different ideas and I and I find that you know makes them more imaginative and and creative. Uh rule
• 87:00 - 87:30 number one that I tell my kids is stay away from porn at all costs. I'd rather you have a drug problem than a porn problem. And I actually mean that. I think it's I think porn is more dangerous to the to the human being as as bad as a drug problem is. But when we get to the question of how to confront the world and uh the things that you're going to be um expected to to do in the workplace and all of that, my point to them is you are facing the uh the
• 87:30 - 88:00 dawning of the age of complex systems that you are going to have to interact with. And in the age of complex systems, you have to understand that you cannot blueprint a solution. And you have to approach these systems with a upgraded toolkit of humility because the ability of the system to do something you don't predict is much greater than a highly complicated system. So you have to anticipate that and be very sensitive to the fact that what you intended to
• 88:00 - 88:30 happen is not what's going to happen. So you have to monitor the unintended consequences of whatever your action is and that there are really two tools which work. One of which you just mentioned which is the prototyping. You prototype things. You don't imagine that I know the solution to this and I'm going to build it. You imagine I think there's a solution down there. I'm going to make a proof of concept and then I'm going to discover what I don't know and I'm going to make the next version. Discover what I don't know and eventually you may get to something that actually truly accomplishes the goal. So
• 88:30 - 89:00 prototyping is one thing. And also instead of using the blueprint as the metaphor in your mind uh navigate you can navigate somewhere. And you know that the way I think of it is a surfer is in some ways mastering a complex system but they're not doing it by planning their days surfing down the waves. You can't do that. What you can do is you can be expert at absorbing feedback and navigating your way down
• 89:00 - 89:30 the wave. and that that's the right approach for a complex system. Nothing else is going to work. And so I guess the final piece is uh general tools always no specialization. This is this is the age of generalists and um invest in those tools and they will pay. So the guiding philosophy for me is uh to produce high agency generalists. So um ultimately I want them to be motivated self-starters and have a wide general toolkit. I imagine them very
• 89:30 - 90:00 much what you imagine which is instructing robots, instructing agents, coming up with ideas. Um, and I imagine them having a very high velocity life where they may be writing a book, organizing a festival, having a podcast, starting a business, and being part of somebody else's business all at once as they are of the ADHD. Yeah. Right. Exactly. Um, so the high agency generalist is the kind of guiding philosophy. Some of the things that we do is like we do chess, we do Brazilian
• 90:00 - 90:30 jiu-jitsu, we do dancing, we do acting classes, playing in nature, uh entrepreneurship, understanding that you can start a lemonade. We just did lemonade stands which was amazing. U we sold lots of lemonade on the street. So those kind of things and jumping from one thing to the next thing, but also trying to avoid too many screens and forcing them into making stuff from what's going on around the house. Um, some distinctions that we try and give them is the difference between creating and consuming because I think AI has
• 90:30 - 91:00 this superpower of making you a hyper consumer or a hyper creator. Um, and if you don't understand the distinction between creation and consumption, you end up falling into the consumption trap, whether it be porn or just news or um, thing, you know, things that feel like you're productive, but you're actually just consuming stuff. Won't that be the most successful AI? the one that plays with my dopamine the most. Yeah. And and makes you and makes you think that you're achieving something when you're actually just consuming
• 91:00 - 91:30 something. So trying to give them the understanding that there is this difference in their life between creation and consumption and to be on the creation side. I started my first business at 12 years old and I started more businesses at 14, 15, 16, 17 and 18. And at that time, what I didn't realize is that being a founder with no money meant that I also had to be the marketeteer, the sales rep, the finance team, customer service, and the recruiter. But if you're starting a business today, thankfully, there's a tool that wears all of those hats for
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• 92:00 - 92:30 shopify.com/bartlet. The thing that we I think all agree on is that this is inevitable. Do you agree with that, Brett? I think it's sad that it is inevitable, but at this point it is. What part of it do you find sad? We have squandered a long period of productivity and peace in which we could have prepared for this moment. and our
• 92:30 - 93:00 narrow focus on competition has created a a fragile world that I'm afraid is not going to survive the disruption that's coming. And it didn't have to be that way. This was foreseeable. I mean, frankly, the movie 2001, which came out the year before I was born, anticipates some of these problems. And you know we treated it too much like education. I
• 93:00 - 93:30 mean like entertainment and not enough like education. So we are now you know we've had the AI era opened without a discussion about its implications for humanity. There is now for game theoretic reasons no way to slow that pace because as you point out if we restrain ourselves we simply put the AI in the hands of our competitors. That's not a solution. So, I don't advocate it, but there's a lot more preparation we could have done. We could have
• 93:30 - 94:00 recognized that there were a lot of people in jobs that were uh about to be obliterated and we could have thought deeply about what the moral implications were and what the solutions at our disposal might have been. And having not prepared, it's going to be a lot more carnage than it needed to be. Amjad, I heard you say a second ago that what we should be talking about is how we deal with job displacement. Do you have any theories if you were prime prime minister or president of the world and
• 94:00 - 94:30 you your job was to deal with job displacement let's just say in the United States how would you go about that the first thing I would do is uh teach people about these systems whether it's um programs on on the TV or outreach or or what have you just trying to get people to understand how chat GBT works how these algorith algorithms work and as the new jobs arrive um I think you know there's going to be an opportunity for people to be able to
• 94:30 - 95:00 detect that you know the this job requires this set of skills and I I I have this this kind of experience and although my experience are potentially outdated I can repurpose that experience to do that job I'll give you an example a teacher his name is Adil Khan you know he started using at the time GPT3 and uh felt like it does amazing work as a tools for teachers or even potentially a teacher itself. So he learned a little
• 95:00 - 95:30 bit of coding and he he went to Unreallet and he built uh this company and um just two years later they're worth hundreds of millions of dollars. Obviously, not everyone will be able to create businesses of that scale, but because you have an experience in a certain domain, you'll be able to build the next iteration of of of that using technology. So, even if your job was displaced, you'll be able to figure out, you know, what's what's potentially what
• 95:30 - 96:00 potentially comes after that. So, so I I I think people's expertise that they built, I don't think they're all for waste. Even if your job went away, you can never really predict what jobs are coming. I mean, I think of this crazy situation where I tell my grandfather, what is a personal fitness trainer? And he would his mind would be blown by this idea that well, okay, I don't really want to go to the gym, so I have to make an appointment and pay someone to go to the gym and meet with
• 96:00 - 96:30 me there. And then he stands there and tells me to lift heavy things that I don't really want to lift. And then he counts them and tells me that I've done a good job and then I put the heavy things down and then at the end of that I feel really good and I pay him a bunch of money. My grandfather would be like what on earth have you been scammed? Is this so we can never predict what what this uh future of jobs would look like. Even just 20 30 40 years apart the jobs rapidly and convincingly just morph into something else. I think it's very
• 96:30 - 97:00 dangerous the idea that we need to focus on skills. I think the future is not in skills. Skills are being replaced. It's this idea that the education system has to stop being compartmentalized and has to be a lifelong learning approach. The department of education needs to be seeing people as lifelong learners who are constantly disrupted and need re-education. Interesting. That that's going to be a thing. The Department of Education needs to start as a kid and go right through to maybe 70. Does the
• 97:00 - 97:30 Department of Education have a role anymore at all? Depends on your definition of education. I think if you're trying to teach kids or if you're trying to teach kids to, you know, remember facts and figures from a history book, then no. But if it's about coaching, mentoring, being displaced, finding the next thing, and maybe if it's AIdriven and all of those kind of things, then it's a different paradigm shift around what education is and what its purpose is. And if we see it as a fluid thing where we wave into an opportunity and then wave back into
• 97:30 - 98:00 education, spotting a new opportunity and then back here. If we're learning rather than skills, but we're learning tools. So it's a tools-based education as opposed to a skills-based education. The the purpose of education for most of human history was about virtue, about becoming a great person who had good judgment and who had good values. And we don't really do much of that anymore. But I think if we essentially said if we get back to what is if we ask the question what is the purpose of education and where does it fit in our lives and at what time frame does it go
• 98:00 - 98:30 for and then we just trust that people are going to come up with weird and wonderful jobs. You know this is sounds crazy but also and this is a weird analogy. My cat is incredibly happy. How do you know? Well, it it demonstrates all the characteristics of of being a happy cat and it lives in a world of super intelligence as far as it's concerned. So, there's this house and food just magically happens. It has no
• 98:30 - 99:00 idea that there's this Google calendar that runs a lot of things that happen around it. The food gets delivered. The money is magically made by something that is inconceivably more intelligent than the cat. And yet the cat has evolved to be living this life of purpose and meaning inside the house. And as far as it's aware, it it's got a great life. But you have the power at any moment if you're having a bad day to do something not so pleasant to that cat. And it can't really reciprocate that. Exactly. But but what's in it for
• 99:00 - 99:30 me to hurt the cat? Because the in this analogy, you might want to move house and the landlord doesn't allow cats. So you've got a decision to make. Yeah, that there are things that the cat is highly disrupted by due to no fault of the cat. I get it. But as far as cat existence goes and the and the history of cats, if you were to ask that cat, do you want to tra trade places with any of the other cats that came before you? It would probably say, I don't want to take the risk because
• 99:30 - 100:00 all the other cats had to fend for themselves in a way that I don't have to. It's very possible that we live end up living in a life a lot like the house cat in the sense that from our perspective we're extremely like we're having very interesting lives and purpose meaning and just there's this massive higher intelligence that's just running stuff and we don't know how it works but it doesn't really matter whether how it works. We we we are the beneficiaries of it and it it's doing
• 100:00 - 100:30 important things and we're enjoying being house cats in in its in its life. I have a few things to say about this. One, I'm pretty sure your cat's not as impressed with your capacity as you are or as you think he is. Um I just know cats well enough to be pretty sure of that. But oh, it looks down on me. Yeah, you're right. I think it I think it's a fair it's a fair point that there is an existence and actually, you know, pets really do have it. If they have loving owners, they really do have it pretty great. And I would also point out that there's a way in which we already are this way. Most of us do not understand
• 100:30 - 101:00 the process that results in electricity coming out of the walls of our house or the water that comes out of the tap. And we're pretty much okay with the fact that somebody takes care of that and we can busy ourselves with whatever it might be. But the place that I find something troubling in your description is that you say that the nature of what we do is to deal with the fact that jobs are always being upended. That's a very new process. That is the hypern novelty
• 101:00 - 101:30 process. It used to be that it was only very rarely that a population had a circumstance where you didn't effectively do exactly what your immediate ancestors did. Right? Um, in general, you took what the jobs were, you picked something that was suited to you, and you did that thing intergenerationally. Intergenerationally. And the point is, we've now gotten to the point where even within your lifetime, what is possible to get paid for is going to shift
• 101:30 - 102:00 radically in ways that nobody can predict. And that is a dangerous situation. Like probably every two years, like two or three years, right? And so maybe there's some model by which we can surf that wave and you can learn a generalist toolkit and you know that your survival doesn't depend on your being able to you know switch up every two years and never miss a beat or maybe we can't but I do think it is worth asking the question if the rate of
• 102:00 - 102:30 technological change has taken us out of the normal human circumstance of being able to deduce what you might do for a living based on what your ancestors did and put us in a situation where what your ancestors did is going to be perfectly irrelevant no matter what. But that is effectively a choice that has been made for us. And we could choose to slow the rate of change so that we would live in some kind of harmony where our developmental environment and our adult
• 102:30 - 103:00 environment were a match. Now, as a biologist, I would argue if we don't do something like that, this is a matter of time. Yeah. How would we change? How do we slow the rate of change? Well, I I mean, you can you can you can be the Amish, right? You can be the Amish and live in your own communities and and I would assume some people would would want that. Well, I'm you know, when Heather and I wrote our book, I wanted the first chapter to be, are the Amish right? And the answer is they can't be exactly right because they picked an
• 103:00 - 103:30 arbitrary moment to step off the escalator. But are they right that there's something dangerous about this continuing pattern of technological change? Clearly they are. What do the Amish do for anyone that doesn't know? The Amish live as if it was what 1850 or something. So they live in a they don't use cars. They I think they do have phones but they do not have electricity. Basically they they voluntarily accept a
• 103:30 - 104:00 techn they're basically a lite community and they uh have turned out to fare surprisingly well against many of the things that have upended modern one of them right yeah co they did beautifully quite happy people very low autism rates they they have all sorts of advantages so anyway I'm not arguing that we should live like the Amish I don't see that but I do think the idea that they had an insight which was you need to step off that escalator because you're just going to keep making yourselves sicker is probably right now. Maybe this is a
• 104:00 - 104:30 one-time shift. We've stepped over the event horizon. We are going to be living in the AI world. And maybe if we're careful about it, we can figure out how to turn that landscape of infinite possibility that you're describing into a place that doesn't change. That you always have the opportunity to decide what needs to be done. But that none that the that living over that event horizon is not an everchanging process.
• 104:30 - 105:00 It's just the next frontier. I do want to also propose or ask the question when we talk about our hyperchanging world. Isn't it harder for older people to learn because of the the way that the brain works in terms of processing speed and memory flexibility? So I was wondering if you're going to get a situation where like my father h because of his brain and the reduced memory flexibility and processing speed that happens when you're older is going to struggle significantly more than my niece who can seem to learn I mean my
• 105:00 - 105:30 niece knows five languages and she's seven or something crazy like that five languages but I mean the brain is much more plastic isn't it? So the it's and that's goes back to our evolutionary psychology which you know much evolutionary history which you know much more than I do about of we're meant to learn our lessons when we're young. use that information for a lifetime. But if that information is changing quickly, well, that's I mean this is exactly what I'm pointing to. It is not normal for your developmental environment to fail to prepare you for your adult environment. The normal thing is as a
• 105:30 - 106:00 young person, you take on ever more of the responsibilities of the adult environment. And then at some point, you know, in a properly functioning culture, there's a right of passage. You go into the bush for 10 days, you come back with, you know, a large uh, you know, game animal and now you're an adult and you take that program that you've been building and you activate it. And that is normal. And, you know, you're a lot happier person. You're a lot more
• 106:00 - 106:30 fulfilled if your life has that kind of continuity to it. And you know, I'm not against the idea that we have enabled ourselves to do things that can't be done if that's the the limit, but we have also harmed ourselves gravely. And I would like to somehow pry apart our ability to improve our well-being from our self-inflicted wounds that come from this
• 106:30 - 107:00 neverending pace of change. And I don't know if it's possible, but I think it's a worthy goal. Something amusing. I don't know if it's exactly a counterpoint, but um during co especially and you know through the the recent technological change uh some people have started living closer to the more ancestral environment. Um so uh people whose jobs are online, some of my friends like went and built communities
• 107:00 - 107:30 like collectives where they you know live and they they create farms and they they eat and then they eat and they have like an email job. They do their email jobs for five hours and and go out and they all have children and it's it's a fascinating life. And there was so much rethinking in in Silicon Valley about how we live. And there's a bunch of startups that are trying to create um cities where they're like, okay, we know that we've we're suffering because our cities are not really walkable. And
• 107:30 - 108:00 there's so many reasons why we're suffering. First, we're not getting the movement. Second, there's a social aspect of walkable city where you're able to interact with people. You'll make uh friends by just happening to be in the same place as others. let's actually build uh walkable cities and if we want to you know uh transport faster we'll have these self-driving cars on the perimeter of the city that are going around and I think there are ways in which technology can afford us to uh to live uh in a way that
• 108:00 - 108:30 reverses I I guess in a more local way. I I like that vision, but I also am aware that there's a different vision, right? You see people in Palo Alto, for example, actually exerting, you know, very strong controls on how much their children are exposed to, uh, you know, to phones. And I live in Palo Alto. Yeah. So, so you see that. On the other hand, what I am worried about is that the the elites of PaloAlto don't realize
• 108:30 - 109:00 that what they're doing is they're figuring out how to reduce the harm to their own families as they're exporting the harm to the world of these technologies that for everybody else are unregulated. And so the question is, can we bring everybody along? If the AI revolution is going to alter our relationship to work and everything else, can we bring everybody along so that at the end of this process instead of saying well you know it's a shame that uh you know three billion people
• 109:00 - 109:30 were sacrificed to this transition but progress is progress we can really say well we figured it out and everybody now is living in a style that is closer to their programming and closer to the expectations of their physical bodies. You know, if that were true, then I would I would be I would love to be wrong in my fears about what's coming. Um, but unfortunately, the market is not going to solve this problem without our being deliberate about forcing it to.
• 109:30 - 110:00 What's your biggest fear? Like when you say my fears about what's coming, what do you like what's what's the picture that comes in your mind? Oh, it's a whole different topic actually. Um my my fear coming stemming from technology uh and AI is that this is a runaway process and that that runaway process is going to interface very badly with some latent human programs. that in effect the need for workers largely disappears and the
• 110:00 - 110:30 people who are at the head of the processes that result in that elimination for the need for workers start talking about useless eaters. Maybe they come up with a new term this time. Thin the herd. Yep. Or they allow it to be thinned or something. Right. I've heard you talk about the five key concerns you have or the five key threats you have before. Could you name those five? So the first one is the one I worry least about. I don't worry zero about it, but I worry least about it, which is the malevolent AI uh that the doomers are so focused on. The second
• 110:30 - 111:00 one is the idea that you know an AI can be misaligned not because it has divergent interest but because it just misunderstands what you've asked it. these autonomous agents. You know, the famous example is you ask them to produce as many paper clips as possible and they start liquidating the universe to make paper clips and you know, it's a it's a sorcerer apprentice kind of issue. The third one I would say is actually all of the remainder of them I would say are guaranteed and
• 111:00 - 111:30 um the third of them is the derangement of human intellect that we are already living in a world where it's very difficult to know what the facts even mean. Right? We the facts are so filtered and we are so persuaded by algorithms that it's you know our ability to be confident even in the basic facts even within our own discipline sometimes is uh at an all-time low and it's getting worse and
• 111:30 - 112:00 that problem takes a giant leap forward at the point that you have the ability to generate undetectable deep fakes. Right? that's going to alter the world very radically when the fact that you're looking at videotape of somebody robbing a bank doesn't mean that they robbed a bank or that a bank was even robbed. Um, so anyway, I call this we deal with this a lot by the way. I I think every single week, every single
• 112:00 - 112:30 week I send my I have a chat people that just are now basically spending I'd say 30% of their time dealing with deep fakes of me doing crypto scams, inviting people to Telegram groups, and then asking them for credit card details. We had one on X. I think you probably saw it, Dan, didn't you of me? But that someone was running ad deep fake ads on X of me. And it wasn't just one ad. It was like there were it was like swatting flies. There was 10 of them. And I messaged them to X and there was 10 more. Then the day after there was 10 more. Then the day after there was 10 more. Then it started happening on on
• 112:30 - 113:00 Meta. So it's a video of me basically asking you to come to a Telegram group where people are being scammed and audience members of mine are being scammed. And when I send them to Meta, they thankfully remove them. But then there's five more. And I went on LinkedIn yesterday and my DMs are, "Steve, by the way, there's this new scam." And I actually at this point I c I'd need someone fulltime just sending this over to Meta. I'm the I'm the same but on a smaller scale. Every week it's did you really message me on Facebook asking me for my crypto wallet and blah blah blah. My my least favorite ones are
• 113:00 - 113:30 when the the single mother messages me saying that she just paid £500 of her money and how devastated she is and I feel this moral obligation to give her her money back um because she's fallen for some kind of scam. That was me. It was my voice. It was a video of me telling her something. Yeah. And I don't know I don't know how you deal with that but sorry do continue. Well, I mean that's actually on the list here. the massive disruption to the way things function both because people are going to be unemployed in huge numbers and because those who are not abiding by our
• 113:30 - 114:00 social contract are going to find themselves empowered more than the people who do. So in this case, not only is this poor woman, you know, now out 500 bucks for whatever the scam was, but you've also been robbed whether or not you pay her back for the thing that she thought she purchased. your credibility is being stolen by somebody and you have no capacity to prevent it. This has happened to me also and it is profoundly disturbing and it is only one of a dozen
• 114:00 - 114:30 different ways that AI enables those who are absolutely willing to shrink the pie from which we all derive in order to enlarge their slice. you know, there there are innumerable ways that this can happen and um I think people do not see it coming. They don't understand how many different ways they are going to be robbed every bit as surely as if somebody was printing money. Um and then
• 114:30 - 115:00 the last one is that this just simply accelerates demographic uh processes that do potentially result in the unleashing of technologies that pre-existed AI. you know, this this can easily result in an escalation uh into wars that turn nuclear. Um, so anyway, I think that list could probably be augmented at this point now that we've, you know, spent a little time in the AI era. We can begin to put a little
• 115:00 - 115:30 more flesh on the bones both of what is possible in this era and what we should fear. One of those you you mentioned uh truth, you know, the problem of truth. Would you say just a thought experiment, someone today like an average person, college educated say person, are they more propagandized or led astray than someone in Soviet Russia?
• 115:30 - 116:00 Well, I don't know because I didn't live in Soviet Russia, but my understanding from people who did was that there was a wide awareness that the propaganda wasn't true. Doesn't mean they knew what to believe, but there was a cynicism, which is one of my fears here, is that the, you know, you're really stuck choosing between two bad options in a world where you can't tell what is true. You can either be overly credulous and be a sucker all the time, or you can become a cynic and you can be paralyzed
• 116:00 - 116:30 by the fact that you just don't believe anything. But neither of those is a recipe for do you think Google search first and maybe now chat GPT has helped people more or less to find truth? I think it's not chat GPT exactly but all of the various AI engines that we're starting with Google have briefly enhanced our capacity to know what's true because in fact they allow us to see through the algorithmic manipulation because the AI is not well policed. you
• 116:30 - 117:00 can get it to recognize patterns that people will swear are not true. Um, and so anyway, a lot of us have found it useful in just simply unhooking the gaslighting. Um, so that's been very positive. But I also remember the early days of search and search used to be a matter of there are some pages out there. I don't know where they are. Here's a mechanized something that's looked through this stuff and just point me at the direction of things that contain these words. right before the
• 117:00 - 117:30 algorithmic manipulation started steering us into believing pure nonsense because somebody who controlled these things decided it was useful for us to believe those things. So my guess is at the moment AI is enhancing our ability to see more clearly but that really depends on some kind of agreement to protect that capacity that I'm not aware of us having are you implying there that AI will protect us from AI i.e. the
• 117:30 - 118:00 woman that got scammed in my audience, the platforms would have a tool built in which would be able to identify shortly that that is not me and the ad is been launched by someone in another country potentially and then also when she starts being asked for her credit card details in such a way on Telegram 10 minutes later the system will able to understand there that this is probably a scam at that touch touch point too and it will also be the defense not just the offense. First thing uh question is Meta incentivized to solve this problem? Yes.
• 118:00 - 118:30 Yes. And so Meta is probably actively working on AIs and again it's going to be a cat and mouse game like every abuse that happens out there. So I I think that the market will naturally respond to things like that in the same way that you know we installed antiviruses as you know annoying as they are. I think we'll install uh AIS on our computers that will allow us to at least help us kind of sort the the fake from from the
• 118:30 - 119:00 truth. Well, but let's let's take the example you say. Is Meta incentivized to solve this problem? Superficially, it seems that it should be, but how many times in recent history have we watched a corporation cannibalize its own business over what at best is the bizarre desires of its shareholders, right? Why was X throwing off people with large accounts or Facebook or Google? It would seem that you would
• 119:00 - 119:30 expect based on the market choosing search engines or social media sites, you would expect these companies to be absolutely mercenary and say, you know, if Alex Jones has a big audience, who are we to say? That's what I would have expected. Instead, you had these companies policing the morality of thought even though it reduced the size of the population using the platforms. I have a hard time explaining why that happened, but I have every reason to
• 119:30 - 120:00 expect the same thing will happen with AI. What are you excited about with AI? What's your your optimistic take? Because at the start of this conversation, you said that there's infinite ways that it could improve our lives and there's 10 times more ways that it could hurt our lives. But let's investigate some of those ways that it could drastically improve our lives. There's a couple of different ways. One, we have, as we mentioned before, a der of competent teachers and professors. And that is a problem that will take three generations at least to solve if
• 120:00 - 120:30 what we're going to do is start tomorrow and start educating people in the right way that would make them competent to stand at the front of a room and educate. But if we can augment that process, if we can leverage a tool like AI so that you know a small number of competent teachers can maybe reach a larger number of pupils, that's plausible I think. Second thing is we have a tremendous number of problems that are obstacles to us living well on
• 120:30 - 121:00 this planet that AI might be able to manage that human intellect alone cannot. Right? Just in the same way that you know compute power can calculate things at a rate that human beings can't keep up and there are certain things you want calculated very well. There are also some reasoning problems. You could imagine that instead of having um static laws that govern behavior poorly because they get gamed that you could have a
• 121:00 - 121:30 dynamic interaction. You could specify a an objective of something like a law and then you could monitor whether or not a particular intervention successfully moved you in the direction that you were hoping to go or did something paradoxical which happens all the time and you could have you could basically have governance that is targeted to navigation and prototyping rather than to specifying a blueprint for how we are to live. So we wouldn't need politicians. Um, at the moment we're
• 121:30 - 122:00 stuck with, you know, constitutional protections that are as good as has been constructed and still inadequate to modern realities. Dan, what are you excited about with AI from an individual level, but also from a societal level? Yeah. Well, the big ones are healthcare and education. I mean, it's ridiculous that you uh are sitting there in pain, having had an MRI, and there just hasn't been someone to look at that MRI yet. and and tell
• 122:00 - 122:30 you what to do. Um and that could easily be solved there's all sorts of healthcare issues where um and also not only that throughout the entire world there are places that just don't have general practitioners and they don't have you know medical advisers and and you know the breakthroughs in global healthcare will be phenomenal and the breakthroughs in global education could be transformational um on the planet. I I'm excited at an individual level that I think the industrial age created a bunch of jobs that are very dehumanizing
• 122:30 - 123:00 and we've just kind of gotten used to them and put up with them. The idea that work should be repetitive and you know you just repeat the same loop over and over and over over again and over a 10-year period of time you might get you know graduated up one gear and all that kind of stuff. I don't think that's very human. Um the idea that you could be simultaneously writing a book, launching a business, running a team, launching a festival, having an event. Um that that that you could actually be doing this kind of like mini kingdom work where
• 123:00 - 123:30 you've got this little, you know, uh ecosystem around you of fun things that you're involved in that is actually made possible for a vast majority of people if they embrace these kind of tools. um you can live an incredibly fulfilling and amazing and impactful existence or I know that I do as a result of having these tools in my life. Like I'm I'm doing things that I could have only dreamed about uh as a kid. And what would you say to entrepreneurs? I know you you work with thousands of entrepreneurs. What are you telling them
• 123:30 - 124:00 in terms of their current businesses or business opportunities that you're foreseeing? So I think that small teams have infinite leverage now and that when you have a team of say five to 10 people who share an incredible passion for a meaningful problem in the world and they want to see that meaningful problem solved and they come together in the spirit of entrepreneurship to solve that problem. That little 5 to 10 person team armed with the technology that we now have available, you can have a a big
• 124:00 - 124:30 impact. You can make a lot of money. You can have a lot of fun. you can solve meaningful problems in the world. You can scale solutions. You can probably do more in a three-year window than most people did in a 30-year career. Uh and then that little band of 5 to 10 people could either go together onto a new meaningful problem or they could disband and you know work on other meaningful problems with different teams. In such a world where you have this sort of infinite leverage but everyone else has access to the same infinite leverage.
• 124:30 - 125:00 What becomes the USP? Going back to this idea of the moat, like what is the thing of value when we've all got access to $20 infinite leverage? Well, first of all, the first thing you need to do you need to understand is that this moment of time is the least competitive uh moment. Like if you understand how to use these tools, you can start making money tomorrow. like we, you know, I see countless examples of people making thousands of dollars with these hustles that I that I talked about or building
• 125:00 - 125:30 businesses that generates millions of dollars in the first couple of months of existence. So, I would say start moving now. Start building things. So, it's an unprecedented time of of of wealth creation. Clearly at some point as the market gets more efficient as people more and more people understand how to use these tools um there's less potential for uh you know creating these massive businesses quickly and we've seen this like the dawn of the internet or dawn of the web you know it was a lot
• 125:30 - 126:00 easier to create Facebook than it is now then we had mobile and for three four five years it was very easy to create massive businesses and then it became harder. Being just at the edge of what's possible is going to be very very important over the next couple years. And that's that gets me really excited because the entrepreneurs who are paying attention are going to are going to be having the most amount of fun, but they're also going to be able to make a lot of money. How many applications have been built on Replet to date? So, you
• 126:00 - 126:30 know, I can talk about the millions of things that have been built since the since we started the company, but just since uh September when we launched Replent, there's been about 3 million applications built purely in natural language with no uh with no coding at all, purely natural language. uh of those I think uh 300 400,000 of them were deployed in a real um in the site
• 126:30 - 127:00 was deployed and it is having people are using it some kind of business some kind of internal tool. I built one last night by the way an internal tool or I uh built an application to track um how my kids earn pocket money. Amazing. So, I just told it that I wanted to track the tasks that are happening around the house and put an assign a value to them and I want to be able to at the end of the week push a button and get a summary of how much to pay each child um for their pocket money. we are so screwed.
• 127:00 - 127:30 And within 15 minutes, it had created this application and it was amazing. Like you could toggle between like here's the place where you have the kids and here's the weekly reports and here's the um how much per task and you can tick off the tasks or remove tasks or add tasks. So then I now have this application for which took 15 minutes of just talking about what I wanted and now I have an application to run the pocket money uh situation in the in the house. And this by the way it's something
• 127:30 - 128:00 having run an IT agency years ago. That's something that we would have charged five to10,000 pounds to create or5 to 10,000 US dollars to to create and how much time probably talking something that would have been a three four week project and we're at the start of the S-curve now that you're describing and it's already if you if it's a $20 replet's roughly $20 a month 25 for the for the base case you did one day of usage let's say it's a dollar it
• 128:00 - 128:30 cost you and it cost you minutes and a dollar now and we're at the start of the scurve and and you talk to it like you're chatting to a developer. So one of the things that slows down the development process is you have to send the information to a developer and they need to understand it and then they need to create something and then come back to you. This just happens in front of your eyes uh while you're watching it and it's actually showing you what's being built and it's it's really wild. This one change has transformed how my team and I move, train and think about our bodies. When Dr. Daniel Lieberman
• 128:30 - 129:00 came on the DEO. He explained how modern shoes with their cushioning and support are making our feet weaker and less capable of doing what nature intended them to do. We've lost the natural strength and mobility in our feet and this is leading to issues like back pain and knee pain. I'd already purchased a pair of Viva barefoot shoes. So, I showed them to Daniel Lieberman and he told me that they were exactly the type of shoe that would help me restore natural foot movement and rebuild my strength. But I think it was plantficitis that I had where suddenly my feet started hurting all the time.
• 129:00 - 129:30 And after that I decided to start strengthening my own foot by using the Vivo barefoot. And research from Liverpool University has backed this up. They've shown that wearing Vivo barefoot shoes for 6 months can increase foot strength by up to 60%. Visit vivo barefoot.com/doac and use code diary 20 from my sponsor for 20% off. A strong body starts with strong feet. This has never been done before. A newsletter that is ran by 100 of the world's top
• 129:30 - 130:00 CEOs. All the time people say to me, they say, "Can you mentor me? Can you get this person to mentor me? How do I find a mentor?" So, here is what we're going to do. You're going to send me a question. And the most popular question you send me, I'm going to text it to 100 CEOs, some of which are the top CEOs in the world running a hundred billion dollar companies. And then I'm going to reply to you via email with how they answered that question. You might say, "How do you hold on to a relationship when you're building a startup? What is
• 130:00 - 130:30 the most important thing if I've got an idea and don't know where to start?" We email it to the CEOs. They email back. We take the five, six top best answers. We email it to you. I was nervous because I thought the marketing might not match the reality. But then I I saw what the founders were replying with and their willingness to reply and I thought actually this is really good and all you've got to do is sign up completely free. I don't think we've spent a lot of time talking about autonomous weapons. This is the thing that really worries me. And the thing that worries people
• 130:30 - 131:00 about AI is this idea is that it is uh this you know emergent system and there's no one thing behind it and it can be it can act in a way that's uh unpredictable and not really guided by humans. also think it's true of corporations of governments and so I think individual people uh can often have the best intentions but the collective can land on doing things in a way that's harmful or morally irrepant
• 131:00 - 131:30 and I think um we talked about China versus the US and that creates a certain race dynamics where um they're both incentivized to cut corners and potentially do do harmful things and in the world of geopolitics um and wars, you know, what really scares me is is autonomous weapons. And why does it scare you? Because uh you know you can imagine
• 131:30 - 132:00 uh autonomous drones being trained on someone's face and you can send a a swarm of of drones and they can be this um sort of autonomous killing assassination machine and it can sort of uh function as a you know country verse country technology in in the world of for which is still crazy but it can also become a tool for governments to
• 132:00 - 132:30 subjugate the citizens and and people think we're we're safe in the west but I think the experience with co showed that even the systems in the west can very quickly become draconian. Yeah. Apparently, I've heard in um Iran that uh they have facial recognition cameras that detect where the women are wearing hijabs in their own cars and it
• 132:30 - 133:00 automatically detains the car. If you're driving and you're not wearing a hijab and if you're certainly if you're walking down the street, it just picks that up and immediately you're you're in trouble. uh you can like it acts as a police officer and a judge and you know a law m lawmaker it's the judge jury and executioner essentially and it's just happens instantaneously what happened in Canada with the truckers uh uh sort of
• 133:00 - 133:30 protest where they froze their bank account by virtue of just being there just by being in that location and just to confirm that Iran has implemented a comprehensive surveillance system to enforce its mandatory hijab laws utilizing various ious technologies, one of which is cameras and facial recognition. So they've put cameras in public spaces to identify women who are not adearing to the hijab dress code. Yeah. And just on that, London has just put those face cam facial recognition systems into London and also all throughout Wales. um and they're being
• 133:30 - 134:00 rolled out at speed and like all you would need is a change of government that wanted to implement something similar and all the base layer technologies already in there. It gets a little bit worse in Iran because they have this new app called the Nazar app where the government has introduced the Nazar mobile application which allows you as a citizen to report another citizen who is not wearing their hijab and it it logs their location, their time um when they weren't wearing it and the vehicle license plate with the crowdsource data. It can then go after
• 134:00 - 134:30 that individual. I would also just point out that I think we're not being imaginative enough. I agree with you. I have the same concern about these autonomous weapons, but I also think this doesn't have to occur in the context of war or even governmental oppression that it is perfectly conceivable that effectively this allows this drops the price of a an undetectable or an unprosecutable crime. And maybe economic moes return in the
• 134:30 - 135:00 form of people taking out their competitors or anybody who attempts to compete with them using an autonomous drone that can't be traced back to them. You know, that follows facial recognition. And you know, you don't have to kill very many people for others to get the message that uh this is a a zone that uh you shouldn't mess around in. So, I could imagine, you know, effectively a new high-tech organized crime that uh protects rackets and makes tons of money and subjugates people who
• 135:00 - 135:30 haven't done anything wrong. I had Mustafa Sullivan on the podcast in 2023 when this all of this stuff started kicking off and he is the CEO of Microsoft AI. You're familiar with Mustafa? Of course. Yeah. Um and he one of the things he said to me at the time was one of my fears is a tiny group of people who wish to cause harm are going to have access to tools that can instantly destabilize our world. That's the challenge. How to stop something that can cause harm or potentially kill. That's where we need containment. And it sounds a little bit like what you're saying amad that we will now have these
• 135:30 - 136:00 these tools. you were talking in the context of the military, but as Brett said there, even smaller groups of people that might have been, I don't know, cartels or gangs can do similar harm. And at the moment, in terms of autonomous weapons, both the US and China are investing heavily in AI powered weapons, autonomous drones, and cyber warfare because they're scared of the other one getting it first. And we we talked about how much of our lives run on the internet, but cyber weapons and cyber AI agents that could be deployed to take down China's X, Y, or
• 136:00 - 136:30 Zed or vice versa are real concern. Yeah. Yeah. I I think all of that is is um is a real concern. You know, unlike Mustafa, I I don't think containment is is possible. Part of the reason why this game theoretic system uh of competition between the US, China, corporations, individuals makes it so that this this technology is already, you know, is
• 136:30 - 137:00 already out and really hard to put it back in the in the bag. I did ask him this question and I remember the answer because it was such a stark moment for me. I said to Mustafa, "Do you think it's possible to contain it?" And he replied, "We must." So I asked him again. I said, "Do you think it's possible to contain it?" and he replied we must and I asked him again I said do you think it's possible we must so the problem with that uh uh chain of thinking is that it might lead to an oppressive system uh there is uh one of the say doomers or philosophers of of AI which I I respect
• 137:00 - 137:30 his work his name is Nick Bostonramm and he he uh he's he was trying to think of ways in which we can contain AI and the thing that he came up with is perhaps more oppressive than something that the AI would come up with is like total surveillance state. You need total surveillance on compute on people's computers on people's ideas to not invent AI or AGI. It's like taking the
• 137:30 - 138:00 guns or something or Right. Exactly. I mean there's always there's always this problem of containing any sort of technology is that you do need um oppression and draconian policies to do that. Are you scared of anything else or concerned about anything else as it relates to AI outside of autonomous weapons? You know, we talked at the about the birthight crisis and I think a more generalized problem there is creating virtualized environments
• 138:00 - 138:30 uh via VR where everyone is living in their own created universe and uh it's so enticing and even create simulates work and simulates struggle uh such that you don't really need to leave this this world and so every one of us will be solopcystistic, you know, similar to the Matrix. Ready Player One. Ready Player One. We're all kind of uh plug even worse than Ready Player One. At least that's a massivelyworked
• 138:30 - 139:00 environment. I'm talking about AI simulating everything uh for us and therefore you're literally in the matrix. You know, maybe that this is I was about I had that same thought. I've enjoyed this great simulation. Yes. and and and so I mean are you familiar with the Fermy's paradox? No, I'm not. So Fermy's paradox is um the question uh the you know professor his name is uh Fermy he asked the question uh if the
• 139:00 - 139:30 universe is is that vast then where are the aliens? the fact that humans exist, you can deduce that other civilizations exist. And if they do exist, then why don't we see them? And then that spurred a bunch of Fermy solutions. So there's uh I don't know, you can find hundreds of solutions on the internet. One of them is the uh sort of house cat on a thought experiment where actually aliens exist, but they kind of put us in an
• 139:30 - 140:00 environment like the Amish in a certain time and do not expose us to what's going on out there. So they we're pets. Maybe they're watching us and kind of enjoying uh what we're doing, stopping us from hurting ourselves, stopping us from hurting ourselves. There are so many things, but one of the things that I think is potentially a solution to the phrases paradox and one of the saddest outcomes is that civilizations progress until they invent technology that will
• 140:00 - 140:30 lock us into infinite pleasure and infinite simulation such that we we don't have the motivation to go into space to seek out the explor exploration, potentially other alien civilizations. And perhaps that is a determined outcome of humanity or like a highly likely outcome of any species like humanity. We like pleasure. Pleasure and pain is the main
• 140:30 - 141:00 motivators. And so if you create an infinite pleasure machine, does that mean that we're just at home in our VR environment with everything taking care for us and literally like the matrix and the world the real world would suck in such a scenario? Yes. Be terrible. I mean the other simpler explanation of the Fermy paradox is that you generate sufficient technology that you can end your species and it's only a matter of time from that point which you know we can have that discussion about nuclear weapons. We can have it about AI, but
• 141:00 - 141:30 does some technology, if if we stay on that escalator, does some technology that we generate ultimately whatever allows you to get off the planet allows you to blow up the planet? There you go. I want to get everyone's closing thoughts and closing remarks. And hopefully in your closing remarks, you can capture something actionable for the individual that's listening to this now on their commute to work or the single mother, the average person who maybe isn't as technologically advanced as many of us at this table, but is trying to navigate through this to figure out
• 141:30 - 142:00 how to live a good life over the next 10, 20, 30 years. Yeah. Take as long as you need. I think we live in the most uh interesting time in human history. So for the single mother that's listening, for someone who wouldn't be the stereotype of a tech row, don't assume that you can't do this stuff. It's never been more accessible today within your work. You can be an entrepreneur. You don't have to take massive risk to go create a business um by you quit your
• 142:00 - 142:30 job and go create a business. There are countless examples. We uh we have a user who's a product manager at a larger real estate business and he built something that created 10% lift in conversion rates which generated millions and millions of dollars of that business and that person became celebrity at that company and became someone who is lifting everyone else up and teaching them how to use these tools and obviously that that is like a really great for for anyone's career and you're
• 142:30 - 143:00 going to get a promotion and your example of building a piece of software for your family for your kids to to improve and and to learn more to be better kids uh as an example of being entrepreneur in your family. So I really want people to break away from this concept of entrepreneurship being this is your podcast a diary of a CEO. You started this podcast by talking to CEOs I assume right and over time uh it
• 143:00 - 143:30 changed to everyone can be a CEO everyone is some kind of CEO in their life and so uh I think that we have unprecedented access to tools for that vision to actually come to reality. Well, it is obviously a moment of a kind of human phase transition. Something that I believe will be the equal of a discovery of farming or writing or
• 143:30 - 144:00 electricity. And the darkness that I think is valid in looking at all of the possible outcomes of this scenario is actually potentially part of a different story as well. In evolutionary biology, we talk about an adaptive landscape in which a niche is represented as a peak and a higher niche, a better niche is represented as a higher peak. But to get from the lower niche to the higher
• 144:00 - 144:30 niche, you have to cross through what we call an adaptive valley. And there's no guarantee that you make it through the adaptive valley. And in fact, the drawing that we put on the board, I think, is overly hopeful because it makes it in two dimensions. It looks like you know exactly where to go to climb that next peak. And in fact, it's more like the peaks are islands in an archipelago that is in fog where you can't figure out what direction that peak is and you have to reason out it's probably that way and you hope not to miss it by a few degrees. But in any
• 144:30 - 145:00 case, that darkness is exactly what you would expect if we were about to discover a better phase for humans. And I think we should be very deliberate about it this time. I think we should think carefully about how it is that we do not allow the combination of this brand new extremely powerful technology and market forces to turn this into some new kind of enslavement. And I don't
• 145:00 - 145:30 think it has to be. I think the potential here does allow us to refactor just about everything. Maybe we have finally arrived at the place where mundane work doesn't need to exist anymore and the pursuit of meaning can replace it. But that's not going to happen automatically if we don't figure out how to make it happen. And I hope that we can recognize that the peril of this moment is best utilized if it motivates us to confront that question
• 145:30 - 146:00 directly. Each one of us has two parents, four grandparents, eight great-grandparents, 16, 32, 64. You've got this inc like this long line of ancestors who all had to meet each other. They all had to survive wars. They all had to survive illness and disease. Everything had to happen for us. One, each individual, all of this this stuff had to happen for us to get here. And if we think about all the people in those thousands and thousands of people, every single one of
• 146:00 - 146:30 them would trade places in a heartbeat if they had the opportunity to be alive at this particular moment. They would say that their life was struggle, disease, that their life was a lot of mundane and meaningless work. It was dangerous. You know, every single one of us has probably got ancestors that were enslaved, probably got ancestors that died too young, uh, probably got ancestors that worked horrific conditions. We all have that. And they
• 146:30 - 147:00 would all just look at this moment and say, "Wow." So, are you telling me that you have the ability to solve meaningful problems, to come up with adventures, to travel the world, to pick the brains of anyone on the planet that you want to pick the brains of? You can just listen to a podcast. You can just watch a video. You can talk to an AI. Like, are you telling me that you're alive at this particular moment? Please make the most of that. Like, do something with that. You know, you can sit around
• 147:00 - 147:30 pontificating about society and how society might work. But ultimately, it all boils down to what you do with this moment. and solving meaningful problems, being brave, having fun, making your little dent in the universe. You know, that's that's what it's all about. And I feel like there's an obligation to your ancestors to make the most of the moment. Thank you so much to everybody for being here. I I've learned a lot and I've developed my thinking, which is much the
• 147:30 - 148:00 reason why I wanted to bring us all together because I know you all have different experiences, different backgrounds in education. and you're doing different things, but together it helps me sort of pass through all of these ideas to figure out where I land. And I I I ask a lot of questions, but I am actually a believer in humans. I'm I I was thinking about this a second ago. I was thinking, do I am I optimistic about humans ability to navigate this just because I have no other choice? Because as you said, the alternative actually isn't worth thinking about. And so I do have a optimism towards how I
• 148:00 - 148:30 think we're going to navigate this in part because we're having these kinds of conversations and we in history haven't always had them at the birth of a new revolution when we think about social media and the implications that had. We're playing catchup with the with the downstream consequences. And I am hopeful. Maybe that's the entrepreneur in me. I'm excited. Maybe that's also the entrepreneur in me. But at the same time, to many of the points Brett's raised and Amjud's raised and Dan's raised, there are serious considerations as we swim from one island to another. And because of the speed and scale of
• 148:30 - 149:00 this transformation that Brett highlights and you look at the stats of the growth of this technology and how it's spreading like wildfire and how once I tried Replet, I walked straight out and I told Cozy immediately I was like, "Cussie, try this." And she was on it and she was hooked. And then I called my girlfriend in Bali who's the breath work practitioner and I was like, "Type this into your browser. R E P L I T." And then she's making these breath work schedules with all of her clients information ahead of the retreat she's about to do. It's spreading like wildfire because we're internet native.
• 149:00 - 149:30 We were native to this technology. So it's not a new technology. It's something on top of something that's intuitive to us. So that transition, as Brett describes it, from one peak to the other or one island to another, I think is going to be incredibly destabilizing. And I've having interviewed so many leaders in this space from Reed Hoffman who's the founder of LinkedIn to the CEO of Google to Mustafa who I mentioned they don't agree on much but the thing that they all agree on and that Sam Alman agrees on is that the long-term future the long-term way that our society functions is radically different. People squab squabble over
• 149:30 - 150:00 the short term. They sometimes even squabble over the midterm or the timeline but they all agree that the future is going to look completely different. Amjud, thank you for doing what you're doing. you're what we didn't get to spend a lot of time on it today and this is typically what I do here but your story is incredibly inspiring incredibly inspiring from where you came from what you've done what you're building and you are democratizing and creating a level of playing field for entrepreneurs in Bangladesh to Cape Town to San Francisco to be able to turn
• 150:00 - 150:30 their ideas into reality and I do think just on the surface that that's such a wonderful thing that you know I was born in Botswana in in Africa and that I could have the same access to turn my imagination into something to change my life because of the work that you're doing at Replet. And I highly recommend everybody go check it out. You you probably won't sleep that night because it's so it's so for someone like me it was so addictive to get to be able to do that because it's been the barrier to creation my whole life. I've always had to call someone to build something. Dan, thank you again so much because you represent the voice of entrepreneurs and
• 150:30 - 151:00 you've really become a titan as a a thought leader for entrepreneurs in the UK and that perspective that balance is incredibly important. So, I really really appreciate you being here as always and you're a huge fan favorite of our show and Brett, thank you a gazillion times over for being a a human lens on complicated challenges and you do it with a fearlessness that I think is imperative for us finding the truth in these kind of situations where some of us can run off with optimism and we can be hurtling towards the mouse trap because we love cheese and I think
• 151:00 - 151:30 you're an important counterbalance and voice in the world at this time. So, thank all of you for being here. I really really appreciate it and um we shall see. These things live forever. So, this has always blown my mind a little bit. 53% of you that listen to this show regularly haven't yet subscribed to the show. So, could I ask you for a favor? If you like the show and you like what we do here and you want to support us, the free simple way that you can do just that is by hitting
• 151:30 - 152:00 the subscribe button. And my commitment to you is if you do that, then I'll do everything in my power, me and my team, to make sure that this show is better for you every single week. We'll listen to your feedback. We'll find the guests that you want me to speak to, and we'll continue to do what we do. Thank you so much.