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How Will AI Change The World? (Ep 1)

14m 11s

How Will AI Change The World? (Ep 1)

The discussion positions artificial intelligence as the paramount issue of our era, with a transformative potential exceeding that of climate change or major geopolitical conflicts. The core ambition of AI companies is to develop Artificial General Intelligence (AGI)—systems that can perform any intellectual task a human can, moving beyond specialized tools. This pursuit carries dual possibilities: it could solve major global problems like economic stagnation or lead to severe risks such as mass unemployment, inequality, and existential threats. Currently, AI development and the large language models that power it are dominated by the US and China, creating concerns about concentrated power and national sovereignty. The impact is already measurable, with AI accounting for a substantial portion of US economic growth, attracting unprecedented investment, and triggering a global war for top AI researchers. The public's perception shifted dramatically with the release of user-friendly applications like ChatGPT, which showcased both impressive fluency and notable inaccuracies. The historical analogy of chess illustrates a trajectory where human-machine collaboration was once optimal, but AI may ultimately surpass human contribution entirely. The central conclusion is that while the full implications are unknown, the scale of AI's potential disruption demands urgent and serious global discussion, which is currently lacking in public and political discourse.

Transcription

2687 Words, 14816 Characters

English
Thanks for listening to The Restisted Politics to support the podcast and listen without the adverts and get early access to episodes and live show tickets, go to TheRestistPolitics.com. That's TheRestistPolitics.com. This is the single most important opportunity challenge in our lifetimes. I'm afraid it's bigger, more transformative than climate change, the Trump administration, what Russia is doing in Ukraine. You might be underselling it, barf from being, you know, in a bubble, AI is underhyped. These companies aren't trying to build toys, they're trying to build something that can do everything that a human can do. Whether it's encoding, whether it's in radiology, whether it's legal work, we're already seeing AI models being able to outperform humans in certain domains. And yet the basic debate is, is it going to be able to write my essay for school for me? Most of these companies are relatively new and the people at the top of them are unbelievably fascinating. People have made AI videos and it's pretty coherent. Yeah, it looks good. The problem, these large language models exist only at the moment in China and the US. AI, which is taking over the world. My worry is that we say, let's be cautious, let's not adopt, let's try and preserve things as they are. But our competitors internationally don't do that. We need a solution to stagnation and it's very possible that AI is our way out of the mass. Or our route into mass unemployment, increased inequality and mass threats the future of humanity. I suppose the thing that is most urgent is that no one knows and anyone who tells you otherwise is like. Hi, it's Ruri here. And I've just recorded a very exciting series on what I believe is the single most important is you facing us. And that isn't actually China, Russia, Ukraine, maybe even not climate. It is artificial intelligence. I've been sitting down with Matt Clifford who was the government's AI advisor who put together the AI safety summit, who's an entrepreneur. And we've been really getting into the details. This what it means for geopolitics, what it could mean for our economy, what it could mean for jobs, what it could mean actually to the existential future of humanity, not to be too pretentious about it and the way in which politicians are simply not talking about it, the public is engaged and we haven't really started this discussion properly. So here's a tasty for you. And if you'd like to hear more, I'm really proud of this series. Please do sign up and become a member. Go to therestispolitics.com. Sign up to Trip Plast and come with us on the series through artificial intelligence. This is something which can change all our lives for good oral. And yet it's something about which we know so little. I've set it up in very grand terms. Do you agree with me that it's a bigger issue than climate change in Russia? I actually think of anything where we are and where we're going might be underhyped. So like three facts I often use with politicians to try and bring this home, why this might be real. One, it's already here in the GDP numbers. So if you look at US economic growth in the first half of this year, without AI, the US economy would have grown by about 0.1% with AI that's about 1.1%. So in other words, AI is already accounting. There's this mainly CAPEX build out. The build out of these huge dead census. But AI already accounting for 90% of US economic growth in 2025. So like we cannot ignore it if even if all you care about is today. Second thing, you know, you mentioned a business that I built entrepreneurs first. I've been investing in AI for about 12 years. Over that period, we have seen an increase in the investment in AI, the inputs of about a billion fold. I don't think that's ever been true in the history of technology before. And by the way, at the time people thought, was there a bubble? You know, I remember people saying, oh, is there a bubble? We're now investing a billion fold more each year as a species in this technology. So that's the second big thing. The third big thing is we've seen this extraordinary competition for talent. And for the other raw inputs of AI, energy chips, et cetera. The stat that I like to use is Mark Zuckerberg is so worried about the impact that AI might have on his business matter that he is now paying top AI researchers $250 million a year to come and work at matter rather than somewhere else. Now, maybe he's crazy, but something is happening and it's something that we shouldn't ignore. Single human individual. We make $250 million a year because of their Mac of being able to work with these. The ability to squeeze intelligence, I guess you would say, out of this infrastructure. OK. Well, let's try to think about what the biggest use are around AI. And I think the first one is the question of power. So if these machines work remotely in the way that the people funding them and dreaming about them hope, they are going to be very, very capable indeed. They're going to be able to do many things at least as well as humans and some things better than humans. And I think that's the beginning of the whole conversation because that is huge potential to do good. For example, creating medicines. Huge potential to do bad. For example, creating deadly viruses. Fantastic capacity for improving defense and security, but also on the other hand, a threat that could be posed to us. Absolutely. So that's one thing I think we need to get into. What are the capabilities of these machines? What can they actually do? Now, the second thing, of course, that goes along with power. Who has that power? Yeah. Right. And we can think about that in different ways. Is the power concentrated in a very small handful of companies around the world? Companies which already account for something like 30% of the entire US stock exchange, which is 70% of the global stock exchange. So let's say 20% of the entire global equity markets have bound up in these companies. Or can you think about in terms of countries? Because these large language models exist only at the moment in China and the US. So is there a sovereignty problem? Does that mean the US and China now has its hands effectively on our threats if they were sure to assert that it was? What happens if these things somehow get out of control? What would happen if these things are not safe that we can't predict, explain or control them? And then the problem is not that we're being controlled by Elon Musk or Mark Zuckerberg. Or we've been controlled by Xi Jinping. But potentially these things are no longer under anyone's control. So huge issues to get into. So I'm going to pose as a new, I don't know, minister appointed in the Department of AI. How would you begin by trying to explain to me what AI is and isn't? I think it's start by saying something like the reason humans are special is our ability to reason. You know, our ability to solve problems in the world in order to achieve our goals. And for a very long time, that has been the only way to do thinking, to do reasoning has been in the human brain. And we have over the last, depending on how you measure it, you know, say, let's say 100 years, figured out lots of ways to get machines to help us do that. But until now, that's very much been about tools. You know, a calculator is way better than you or me arithmetic. But no one would say a calculator is thinking. But the explicit goal of the company's building AI artificial intelligence is to build what they call AGI artificial general intelligence. In other words, not tools, but brains, if you like. The machines that are capable of doing everything that a human could do. Now, they're not there yet, but that's the goal. So the goal is that this thing would be much more flexible, much more general in the kind of task that could take on, unlike a calculator, which can't write a Shakespeare poem, can't help me fry an egg. These machines ultimately would be able to, if they became super intelligent, be able to do everything a human could do better. That's the goal of the company's building them. And you know, there's lots of different definitions of AGI artificial general intelligence. And then you've already mentioned super intelligence, which is almost a stage beyond where the machine can do more than any human can do. The definition I like of AGI, or at least, I think a helpful starting point is, imagine an artificial intelligence that can do anything a remote worker can do. Now, that's important because, of course, part of the way that you think is actually embodied. You have a body and you use it to do all sorts of things. But there are lots of tasks today, particularly after the pandemic, that the only connection to the real world you need is a mouse and a keyboard and a screen. So one way I think about what AGI is is it's an artificial intelligence system that is a plug-and-play replacement for anything a remote worker can do. Okay, so let's start with what, for most of us, was the big wake-up moment, which was the release of a Chatchy BT3. And it was the moment where suddenly, on the market, we woke up to something that we could talk to that was no longer a kind of clunky chatbot giving us weird answers. We'd had those sort of things for 10, 15 years when you're trying to, I don't know, deal with what's going wrong with your telephone, your bank. Suddenly, you've got something that was able almost immediately to do extraordinary things. And to give you an example in our way into work yesterday, I asked it to analyse all multilateral institutions in the world this year and bring out common themes from all the different multilateral conferences. Right. And here I saw both its strengths and its weaknesses. It managed to produce this incredibly beautifully organised, precise tailored answer going right up to what had happened the previous day. It wasn't doing it through finding an article on Google, nobody had written about the subject up to yesterday before. It sort of dimensioned I would never have thought of historical, economic, it personalized it to me in a way that was extraordinary. But it also got stuff wrong. For example, it complimented me on my amazing job administering Mosul in northern Iraq. And I never administered Mosul in northern Iraq. And I do what I did in Iraq wasn't that amazing. So it was a sort of wonderful kind of example of incredible power, fluency, and getting stuff a bit wrong. I mean, is that your sense too that this is really when the public woke up was the release of these things that we call large language ones. We get on to what they are in a second. Absolutely. And you know, I think for people who've been in the field for a while in a way, it was quite a surprise because you could look at this discontinuous moment. We go from AI basically being very hard to get on anyone's agenda to suddenly everyone wants to talk about AI all the time. The other way of looking is actually a smooth curve. It's just that it finally crossed a threshold where it was useful in the ways that you describe. One thing I would say, which I find really interesting is when you talk privately to people open AI who release that particular product, Chadg PT, they were also taken by surprise. You know, they did not expect it to become the fastest growing consumer application of all time. I mean, it's worth just giving the stats on that. So within two months of its release, a hundred million people were using it. That's never happened before ever. You know, the fastest growing consumer app before that was TikTok and that took nine months to get to a hundred million. So there was something very special, but they didn't know it. I think the team size at the time within Open AI, working on Chadg PT specifically at the time was like five or six people. So it was a huge moment. What are things that people don't understand about what these things can do? I mean, I often meet people who will say, well, it's not that awesome. It's not that very different from a Google search. It's not very useful for me. I don't think it's really going to make any difference to my company. I don't think it's really making any difference to the world. Other a few ways of really making, I don't think I'm fair to my mother, but making my mother wake up and realize that this thing really is extraordinary. How would you illustrate how amazing this new technology is and why it could make huge difference? Yeah. I think it's really instructive to look at the history of chess. So there was a long period of time where humans were just obviously better than machines. Then there's the families and we were very proud of it. Extremely proud of it. In fact, we thought chess was so hard and complicated that it would be one of the last things to go. This was like the, we would hold up. Are these gardens of chess? Are the paragons of what human intelligence was? Yes, chess cramus, the castbross and castbross were the things that the body fishers were considered genius. They are in that domain. Then of course, in the late 90s, you have this very famous match between and castbrough and deep blue, which by the way is not a modern-esque eye system at all. It's a different type of system. It's a completely different type system. But to cut a long story short, deep blue wins. The machine is better than the human. Then there's an extraordinary moment, which I remember. And Gary Marcus, I think writes about this at NYU, who's a bit of an AI skeptic. He's saying, well, yeah, okay, deep blue has managed to beat castbrough, but actually, and this is now going back 10 years, we've discovered that a human and a computer has been better than any computer in the world. So there were these extraordinary teams of humans and computers. If you were a chess grandma, you were quite cheer up by that because you still seem to be very necessary to the system. You could make the computer better. And then, and there, so we, some people call this like the center era on the basis that the center is the hybrid and it's human machine teams were the best. Sadly, or not, depending on how you look at it, today the human has nothing to contribute. You really get nothing from adding the human into the mix. It makes it worse. Yeah, and so sadly, I'm 40 years old, but I'm poison young people and they have this great phrase of like, that's cope, meaning you're telling yourself that to feel better about the world. I think the idea that there's this long term, stable equilibrium of the center era of human machine, interaction being the best is probably cope. Thank you for listening. If you enjoy that and you'd like to hear more from this series on AI from Matt Clifford and me getting into the realist use, sign up at therestispolitex.com.

Podcast Summary

Key Points:

  1. AI is presented as the most significant and transformative challenge of our time, surpassing issues like climate change and geopolitical conflicts in potential impact.
  2. Current AI development is concentrated in the US and China, raising concerns about global power dynamics, economic control, and national sovereignty.
  3. The goal of leading AI companies is to achieve Artificial General Intelligence (AGI)—machines capable of performing any task a human can, which could lead to immense benefits or existential risks.
  4. AI is already significantly impacting economic growth, with massive investments and a fierce global competition for talent and resources like energy and chips.
  5. Public awareness surged with tools like ChatGPT, demonstrating both the extraordinary capabilities and current limitations of large language models.
  6. The trajectory suggests AI may eventually outperform humans in most domains, challenging the notion of a stable, collaborative future between humans and machines.

Summary:

The discussion positions artificial intelligence as the paramount issue of our era, with a transformative potential exceeding that of climate change or major geopolitical conflicts. The core ambition of AI companies is to develop Artificial General Intelligence (AGI)—systems that can perform any intellectual task a human can, moving beyond specialized tools. This pursuit carries dual possibilities: it could solve major global problems like economic stagnation or lead to severe risks such as mass unemployment, inequality, and existential threats. Currently, AI development and the large language models that power it are dominated by the US and China, creating concerns about concentrated power and national sovereignty.

The impact is already measurable, with AI accounting for a substantial portion of US economic growth, attracting unprecedented investment, and triggering a global war for top AI researchers. The public's perception shifted dramatically with the release of user-friendly applications like ChatGPT, which showcased both impressive fluency and notable inaccuracies. The historical analogy of chess illustrates a trajectory where human-machine collaboration was once optimal, but AI may ultimately surpass human contribution entirely. The central conclusion is that while the full implications are unknown, the scale of AI's potential disruption demands urgent and serious global discussion, which is currently lacking in public and political discourse.

FAQs

AGI aims to build machines capable of doing everything a human can do, unlike current AI tools that are specialized for specific tasks. It's envisioned as a flexible, general-purpose intelligence, potentially surpassing human abilities in various domains.

AI is already a major driver of economic growth, accounting for a substantial portion of U.S. economic expansion. For example, it contributed to about 1% of growth in a recent period, highlighting its immediate economic importance.

Experts argue AI is more transformative due to its potential to reshape economies, jobs, and even humanity's future on an unprecedented scale. Its rapid development and global competition make it a uniquely urgent challenge.

Risks include concentration of power in few companies or countries, potential for misuse in creating threats like viruses, and the existential risk of AI systems becoming uncontrollable. These pose serious geopolitical and safety concerns.

ChatGPT's release was a wake-up call, making AI accessible and demonstrating its capabilities to a broad audience. It became the fastest-growing consumer app ever, showing AI's practical utility and sparking widespread discussion.

The 'centaur era' refers to a period where human-AI teams outperformed either alone, as seen in chess. However, this is likely temporary, as AI advances may eventually make human contributions unnecessary in many domains.

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