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Podcast Episode Summary: The Twenty Minute VC (20VC) with Matt Clifford
Episode Details
- Title: 20VC: LLMs Are Reaching a Stage of Diminishing Returns: What is the Next S Curve | The Bull & Bear Case for China's Ability to Challenge the US' AI Capabilities | How AI Changes the Future of War & How Agents Will Reshape Society with Matt Clifford @ EF
- Host: Harry Stebbings
- Guest: Matt Clifford, Co-Founder of Entrepreneur First (EF)
Episode Overview In this episode, Harry Stebbings interviews Matt Clifford, discussing the state of AI, its implications on society, and the evolving landscape of venture capital, especially in relation to the competition between the US and China in AI development.
Key Topics Discussed
- The Current State of AI
- Diminishing Returns:
- Matt posits that increasing compute power is yielding flattening returns in AI performance, particularly in large language models (LLMs).
- He emphasizes the importance of seeking new ideas rather than just scaling existing models.
- The Next S-Curve:
- Discussion on what is needed to reach another S-curve in AI innovation.
- Opportunities in search and multi-modality (combining different data types) are highlighted.
- AI's Impact on Society
- Autonomous Agents:
- Matt shares insights on the potential for autonomous agents to reshape labor and societal functions.
- He raises questions about society’s readiness for AI to take over core human roles.
- Future of Warfare:
- AI changes the dynamics of warfare, potentially favoring non-state actors and creating new challenges for defense.
- Concerns about the balance of power between offense and defense in military applications of AI are discussed.
- China and the AI Race
- US vs. China:
- Matt discusses China's position in the race for AI dominance, suggesting they may be two years behind the US.
- He explores the sophistication of China's AI policies and the implications of US export controls on technology.
- Bull and Bear Cases for China:
- The episode elaborates on the potential strengths and weaknesses of China’s AI capabilities, considering factors like data access and governance.
- The Attributes of Great Founders
- Early Entrepreneurial Activity:
- Matt argues that many successful founders exhibit entrepreneurial traits from a young age, and that past behavior predicts future success.
- Team Synergy vs. Individual Talent:
- The discussion raises the significance of team dynamics and individual strengths, with Matt leaning towards the importance of peak performance in founding teams.
Major Takeaways
- The AI innovation landscape is evolving, with a shift from scaling models to generating new ideas.
- The future of AI in warfare poses significant ethical and strategic questions.
- The competition between the US and China in AI is nuanced, with both challenges and opportunities present in each landscape.
- Great founders often show entrepreneurial spirit early on, but cultural context and individual potential are equally crucial.
Conclusion The episode captures a deep dive into the future of AI, its societal implications, and the competitive landscape between global powers. Matt Clifford's insights provide a thoughtful perspective on what lies ahead in the world of technology and entrepreneurship.
For more insights on venture capital and startup funding, visit [The Twenty Minute VC](http://www.20vc.com).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00I think that we are seeing the flattening off of the value of just adding more compute and more data to language models. I think nuclear war is really underrated. I think AI changes everything in the future of war. China is more paranoid about AI safety than probably any other government in the world. The US export controls on the semiconductor supply chain have had an impact. It is harder if you are a big Chinese company to build an access to 100 ,000 GPU costing. This is 20VC with me Harry Stebbings and stay with join by one of the leading minds in AI. Our guest advises the UK government on AI and in 2023 served as the Prime Minister's representative for the AI Safety Summit Bletchley Park.
0:44I'm so excited to welcome an old friend in the form of Matt Clifford, joining us in the hot seat today. Now, Matt is the co -founder of Entrepreneur First, the leading global talent investor and incubator. Fun fact, EF has incubated startups worth over $10 billion, and Matt is also chair of ARIA, the UK's Advanced Research and Innovation Agency. But before we dive in, when a promising startup files for an IPO or a venture capital firm loses its marquee partner, being the first to know gives you an advantage and time to plan your strategic response. chances are, the information reported it first.
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3:23So to learn more about the number one most active law firm representing VCs backed companies going public, head over to coolee .com and also coolee .com. cooleys award -winning free legal resource for entrepreneurs. You have now arrived at your destination. Matt, I'm so excited for this. We first met. I remember, I remember exactly where it was. It was the Hawxton Hotel, and it was like eight years ago, if you can believe it. I so believe it. Dude, thank you so much for joining me today. Thank you for having me. It's great to be celebrating our anniversary together. It is incredibly special. I want to start with a little bit of context.
3:58I think we're actually shaped a lot by our early -years -not -childhood. Yeah, often by harder times. I remember my mother getting MS was probably one of the most challenging but impactful times on me. What was the most challenging time for you and your childhood that you think impacted you most? So I was at a very fortunate childhood. I grew up in a sort of ex -industrial small town in the north of England. My mum was teaching a system. My dad was a social worker, I have three siblings. It was like a big happy sort of family. But I think like probably the formative experience for me at least in retrospect was where I grew up if you want if you're a teenager and you wanted to like make money You basically could work in Gregg's that was the option and I really didn't want to work in Gregg's I think like a really formative thing was I remember that there was a lightning storm in our village and One of my parents friends.
4:51It's sort of somehow damaged their computer and I remember them saying to me, do you think you can fix this? I knew nothing about fixing computers. But I was like, yes. I don't know how to just bought a new motherboard and pumped everything back in. And then, and certainly, I never wanted to work at Greg's, I ended up sort of like building a little business, sort of age 13 fixing and building computers for first my parents' friends and then their friends and then sort of like branching out into building them websites and taking spyware malware off their computers, which you know, like this was like the early days of the consumer internet where everything was horrible.
5:24I think just realizing saying, you can do stuff. You can just say yes and figure it out. You don't need anyone's permission. I think I was really life changing for me. I think like so much of everything I've done since comes from believing. You can just say yes and you can just do stuff. I believe that the best founders always actually start their first entrepreneurial thing early. It is never when you were 25 and you come out of Oxford and you're like, oh, it's entrepreneurship thing. Do you disagree with me having seen so many different entrepreneurial paths that you've seen? We believe one of our kind of cool ways that we evaluate found as an entrepreneur first is that the best predictor of future behavior is past behavior So we absolutely think that it's very unlikely that you rock up with a perfect CV But like no sign whatsoever Have ever having done anything that you weren't told to do by a teacher or a boss and suddenly you're gonna figure out How to do things that you want told to do so in that sense?
6:16I think I would very strongly agree I guess what I would say though is that culture and default paths really matter And so one thing we've learned about evaluating talent is what it looks like to do something that your parents, teachers, bosses didn't tell you to do in the Bay Area is very different from in Singapore. You know, like if you grew up in the Bay Area, go to Stanford and you graduate and you will never thought about starting a company and there's a very negative signal on yours of founder. If you grew up in Polarni in rural India, I don't think I need to have seen that you started of a company before.
6:49But what I'm doing when I'm interviewing you is figuring out what is the behavior? What is your equivalent of the story I just told you? What is your equivalent of that entrepreneurial activity that is a predictor of you being able to succeed in an unstructured environment? That's what I care about. So we're gonna go back to founders because it's such a big topic that I do wanna kind of really touch on properly. But I wanna start on this tweet of yours which I just always fantastic. And you said two predictions. One, someone will build a new open AI and Thropic Scale AI company that takes the commoditization of LLMs as one of its core premises.
7:23What did you mean by this? I was very lucky to start investing in AI about 10 years ago. I've been more than that now when the first deep learning wave kicked off. What's really interesting is that really, certainly the last five years, but arguably longer, the story of AI is really a story, largely about the deployment of just enormous amounts of compute and enormous amounts of data. And not that many new ideas, candidly. I mean, I'm not saying they were none, but broadly, if you had to do a pie to where the progress has come from, it's largely come from massive investment in compute and application of that.
7:59I think it was interesting if you had the gun to my hand and said, where are we today? I think that we are seeing the flattening off of the value of just adding more compute and more data to language models. I think we've seen truly extraordinary progress over the last five years. I think of most technologies of S curves, you know, you sort of get slow progress, then fast progress then slow. And it strikes me that we're in this moment where the incremental value of just continuing on this path of scaling is leveling off. And what that means is that the value of ideas is about to go up a lot relative to the value of just scale.
8:35And what that means to me is that whenever ideas become valuable again, you have an opportunity for startups. Frankly, I don't think startups today should be trying to compete on building bigger and bigger LLMs. It doesn't make sense. It's mainly a capital game. Maybe you can do a Mr Allen race, you know, like hundreds of millions in year one, but even they might be under capitalized history. I mean, that's the kind of crazy thing. And so today I think the real opportunity for founders is find the next S -curve. And I think we're in a moment where that essentially pulls. Is that an S -curve in the application layer then?
9:03If you're like, hey, it's not going to be in that layer and compute alone, is it the stage where reaching diminishing returns, is that in the application, are you feed off of the computing investment? It could be, I mean, I think the things that I'm excited about and looking at pretty hard right now are search. And there's been a lot of buzz about this recently in this sort of AI research community, like how do you use search? The techniques that actually made things like AlphaGo work, how do you kind of mix those with LLMs to get better results? I think clearly there's this big moment around multi -modality that is just getting started, where if you can figure out very smart ways to think about different data types than text, that might be another S curve.
9:44Do you not think you're right in the pathway of OpenAi if you're going for that use case? If you think about multi -modality and you look at units, it was some of the opening I was later to release, especially when you look at their language, kind of learning that math algorithms, it was like, yeah, I mean, look, my point's not that like, the big guys won't be able to do this. I suppose my point is really that the value of ideas over the last five years being relatively small. Like, question was, could you get the scale compute? I think the value of ideas over the next years might be high and it might be enough to unlock.
10:12I'm not saying it's suddenly gonna become this low capital game. I think if you wanna build an AGI company, you're gonna need a lot of capital. But I think until now, the only way to do that was to have trained a large language model at one of the other apps come out and raise a bunch of money and say we're gonna carry on doing it. I think there may be a new approach as possible today where you actually just have an idea that's like, really quite different from what people have been doing and you can use that a little bit like 10 -10 years ago to do a demo that makes people say, huh, and that'll lock the capital that allows you to go up against the big guys.
10:43When you think about like progression in the LLM space, you've got gonna compute algorithms and data. When I had Alex Wyne on the show, Mutual Friend of Us, and yeah, for example, that data is the bottleneck. Yeah. Actually, we've seen incredible amounts of compute, but it's data that is the bottleneck. Do you agree? And if you were to choose one of the three that is the bottleneck to the progression, what would it be? So I think it's certainly true that data is the one of those that is least obvious how you continue to scale. At the moment, you can just translate dollars into compute relatively easily, and so, you know, you can imagine at least a couple of orders of magnitude of a growth of compute quite straightforwardly, is not obvious that you can do the same in data.
11:24That said, I think people probably underestimate what we haven't done yet. Partly because of computer mits, you know, these models are not trained on all video. You know, in fact, mostly that hasn't happened yet. Some of the things that people like Andre Kapathy have been talking about recently is like the potential of thinking about video as being a really great way for a model to build a world model and, you know, to understand more about how the world works. So, yeah, data is a bottleneck, but I wouldn't bet against smart people figuring out ways to either create or ingest new types of data.
11:56I guess what I'm really arguing, when I say we're on an S curve is, I don't think there's a lot further to go in just finding more text. I think we may be at the flattening out of the S curve on text, but I suspect the next S curve could have just involved finding ways to use video, to use interactive experience in very different ways. You said about investing in AI 10 years ago. I remember good, some of the early demos, and I might be, I remember like Bloom's Brie AI. And this was so early then. And I love anecdotes from Meta. And he wrote a brilliant piece the other day about kind of hype cycles in new technologies.
12:32What he's concerned about is actually, we're gonna hit the flattening of the hype cycle like autonomous cars. Do you think we're gonna hit that flattening again? Well, I think it's a race as in like, I do think that if we can't find anything better than just trying to scale LLMs, then yeah, the flattening out will be brutal. If I had to bet, my bet is that the enormous amount of capital and talent that has been aggregated around this relatively small number of companies because of the hype will be enough to unlock the next S curve and so you'll see kind of further improvement. The returns to good ideas, I think, will be very high over the next few years.
13:09So actually another way of thinking about it is one thing you've seen over the last couple of years since GPT4 released is actually a convergence of capabilities. When GPD 4 came out, it was very clear that OpenAI were in the lead. And now, like, there's quite a few companies that have a GPD 4 -ish level model You've seen convergence, right? My guess is that you may see more divergence over the next few years because the value of ideas goes up, because people aren't just scaling. Well, that is really interesting, because everyone is saying, oh, we've seen the complete commoditization. We even have Chinese players like Yi, which is almost equivalent of GPD 4's performance.
13:42I think the pure LLM approach absolutely is commoditizing. will be either is or will be very quickly commoditized. I guess what I'm saying is I don't think GPT -5 is just gonna be a bigger language model. I think it's gonna involve something different. It's gonna involve a lot of productizations, maybe such as we already discussed and things and so like, but these are not commodity ideas yet. It's not yet the case that everyone will be able to copy that. And so I think broadly, I was told recently to someone who was on the Lama 3 team and they were like, you're probably underwing the extent to which Lama 3 is literally just Lama 2 with more compute and more data.
14:17There's not a lot different other than, you know, that I guess what I'm saying is Lama 4 will not just be a bigger Lama 3. It will have to be different. It will incorporate a little bit of... And this will then lead to a tearing away or pulling away with that player who has the... Yeah, well, particularly because norms around secrecy around ideas have increased over time. I mean, it's easy to forget. Like, have they or do we see the incredible incest between different companies? is the super agit team that leaves open AI. Goes to Anthropic. Yeah, that's certainly true, but I guess what I mean is that the knowledge around how to build, how to train, do pre -training on, you know, a very large model is now extremely well -mode, but I think it is now quite appreciated in the labs that if you can find an idea that has this like disproportionate impact on capabilities, guarding that is going to be very important.
15:05Now again, I'm not saying that that will remain secret forever, but I think in the short term, I think we're likely to see more divergence over the next couple of years than convergence. I agree with you there. Would you be a buyer of OpenAI in 90 billion? I think I would not be. I mean, I'm a huge fan of OpenAI. I think it's extraordinary what they've done. But on the other hand, if they're really doing whatever it is, three and a half billion here, and they can continue to productize, maybe it's not crazy. But I do think that we're going to get a lot more data in the next, on more evidence in the next year, whether anyone has another good idea.
15:35And I think that's what it's going to take. Would you be a buyer? A vote in AI at 90 per cent? No. No, I wouldn't. And I wouldn't because to your point on the commoditization, I think they've scaled to the three and a half per cent on the premise that they are the best and they have had superior go -to -market functions. But as you see others build out the GTM teams and build out the capabilities they have, I think actually that starts to plateau and flatten. Yeah, I mean, I have found myself using Cored 3. Absolutely. All the time. Yeah. And I think the best companies in the world will actually be defined by their abilities, transition between models.
16:04Yeah, yeah, definitely. Yeah, and there's a big opportunity in that. One thing I often think about AI is like anyone who claims they know what's going to happen, I think is like is wrong. You are not a VC. You have to maintain a set of quite radically different scenarios and just change the weight that you put on them. I can totally see a world in which everything I just told you about the value of new ideas is wrong. And actually it really is just like we can't find anything that fundamentally is the next desk of everything commodities, everything flattens out. and it's really a, you know, a risk to the bottom on price.
16:34In which case, obviously, none of these companies are going to make any money. Do you think China is two years behind? This is what Alex said. The swalags dispute, right? So Alex has become a good friend. I would put this again in the category of like, it's very hard to say, you know, as you know, I spend quite a lot of time last year working on the geopolitics of AI in government, and including, like, spending time in Beijing and, you know, negotiating with the Chinese government on AI. What is that level of sophistication? I think the Chinese government is very sophisticated on AI. For example, the guy I was meeting to negotiate with was the Minister of Science and Technology, senior minister on the standing committee of the CCP.
17:13He's a computer scientist. He knew his staff. Is that a high level of sophistication in the UK government? I guess I would say one thing I learned doing that job, albeit briefly, was that the UK's capacity in the space is high relative to most countries. I remember being on the initial kickoff call. I was running this summit for the Prime Minister and there are 28 countries coming. We did this kickoff call on Zoom or Teams. The best way to improve Pro -Civ government is just like allow them to not use Teams. And honestly, without naming names, there were countries where they were like, how could we possibly do this?
17:44We don't have an AI policy division. We don't have an AI minister. So I think the UK actually has been ahead of the curve on this, but I do think China is very sophisticated to care. And it doesn't actually matter if you're ahead of shit, what matters if you win? Yeah, absolutely. If my concern is that China will have unparalleled access to data and just say, I don't give a shit about privacy concerns about data can just go. One of the things that's interesting and I think underrated is that actually China is more paranoid about AI safety than probably any other government in the world. If you look at Chinese AI regulation, it makes Brussels look like a soft touch.
18:20It's incredibly onerous. Why is that? I thought they would be all -out dominant. and we need to win this race and we will do anything to win it. I think you just got to see the CCP as being fundamentally, have an extreme priority on stability. The whole story of the CCP and its dominance is eliminate threats to stability. And whatever you think about AI, whether you're bullish or bearish, whether you care about safety, whether you don't care about safety, I think everyone agrees that it's a destabilizing force. And so I think the last thing they want is either companies gaining a lot of power through AI or AI itself being destabilizing.
18:53So, you know, like, if you read the regulation that's already coming through, for example, if you train a large model, you have to like supply random samples of the training data to the CCP or to the government. You have to like show it's like not going to undermine any of the, you know, state positions of the CCP on various issues. So like, it's actually a very, very regulated environment. Now, that doesn't mean ultimately the Chinese state won't try and harness pathway eye for its own ends as you're sort of talking about. But I think it's easy to understate the level with paranoia they have about it.
19:24So there are two factors that made me think that maybe I'm not quite in Alex's camp. One is that that actually, it's a very highly regulated space there. And that means that they are not gonna be the thing. Well, I think if you look at why it has been so fascinating in the West, you know, basically because, you know, certainly open air and anthropic and to an extent, especially now, you know, under the unified leadership here in London of deep mind, and you basically just have this extraordinary permissionless to go back to that idea explosion of like ambition. What Sam and Demis and Dario are doing is this almost entrammeled, very visionary ambition.
20:03As we've seen in other parts of the tech industry in China, the CCP is very nervous about entrepreneurs being given that much room. It's not trivial to create the conditions in which a Chinese Samaltman or a Chinese these Demisosabis can just go to the races in the same way. Because there's just much more, I mean, we all saw what happened to Jack Moore when it looked like he was too powerful. But I think that's an important ingredient in building these sort of AGI companies is you need someone at the top that actually is all out to build, like the final invention as some of them call it. So interesting, yeah, we released a show say with Eisenberg, Michael Eisenberg at a laugh.
20:43And he said, you asked number one, and he said China number two, Israel number three, and then basically Europe number four, you guys will regulate yourselves to shit. So it's very interesting to hear that perspective. And actually you're the only one who has that perspective. You're also the only one who has internal knowledge. Well, I think one thing that's really interesting is the asymmetry in how we in the West learn about China and how they learn about arts. You know, when we have Paul Dachian Brenner published his situational awareness thing, which obviously kind of blew up a couple of weeks ago.
21:16Within three days, I hear from a friend who follows China right closely, there were five Chinese translations circulating in the Chinese AIQI system. If an equivalent thing is written in China, it does not get translated into English. It does not get circulated. Well, that kind of goes to Alex Wang's point, which is the CCP's industrial policy of copy and then replicate and do better. It's second to none. Yeah, so I think in the world where actually, Either my thesis that ideas really are going to matter a lot is wrong, or where it's just a very narrow window and then you find a new idea and then it's just scale, scale, scale.
21:52Then yeah, I think China has a very strong hand there. But you know, the other fact you talked about algorithms data compute. The other thing that is still a factor and it really comes down to like timelines is, you know, the US export controls on, you know, the semiconductor supply chain have had an impact. not a binary impact, but it is certainly true that it is harder if you are a big Chinese company to build a access 100 ,000 GPU cluster. You can do it. February, Kifule was going around Europe, including at Davos saying, oh, you know, I tried my latest model on these Huawei design, smick manufacturer GPUs, and it wasn't claiming there was good as Nvidia's, but it was like 70%.
22:34But I think in a world where scale compute matters, that friction, that discount, if you like, on the Chinese system, it does compound. And I think if you wanna be a China bear on AI, I think you have to believe that we're gonna get very radically improved progress in the West, quickly enough that they don't build their domestic chip ecosystem faster than us. And respectfully, you're gonna see a Trump administration. And when you see the Trump administration, that's not exactly gonna have loosening tariffs on Chinese. You know, although I would say there's been fascinatingly like the one bipartisan issue in Washington is script China It's certainly true that I remember writing about in 2018 19 about like Trump Expo controls and it was interesting is that the Biden White House has been as aggressive on exactly the same thing We're remarkable continuity on this and so yeah, you're right.
23:23I think whoever wins the election They're gonna continue to see Nvidia and others as a key national security asset Is there a bear case for China then? And the bear case for China is that the gap matters. That actually they can't harness the same level of compute over a relevant time period. Got you. And then so the bull case for China? The bull cases, either like it takes longer and you know, the sort of the domestic ecosystem, because they can't buy ASMR machines, they eventually make their own and then we have no levers, right? You know, it doesn't matter what we ban, they've got their own.
23:53And at which point, you know, your argument that when they turn on the industrial policy tap, it really turns on. at that point, I think they're in an extraordinary position. I actually had David adept on the show. Okay. He was fantastic. But he actually spoke about kind of the verticalization of all of the different players. Yeah. And he said actually that you're gonna see, Nvidia move into the model layer because they wanna own more of the margin and you're gonna see the model players, OpenAI and the biggest, move into the chip player because they need to own more of the margin. Do you think you're gonna see that?
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24:23We already saw Apple actually talk a lot about their own chips. You know, one of my favorite tech essays that I find myself referring to all the time is that, you know, Joel Spolski thing on commoditize your complements. And, you know, that's what's happening in AI right now. Everyone is saying like, what are the complements to what I'm doing? And how do I commoditize them? It's interesting, like, the reviews of Nvidia's model are pretty mixed to put it mildly. I think you'll certainly see people trying to figure out, like, which layers of the stack do you need to own? And, you know, what do you have to commoditize in order to, like, really protect your core business?
24:56Maybe we'll always say this, but it really feels to me like we're gonna learn so much in the next 12 months You know like to me the key question that until we resolve We're all just guessing is sort of how good are the GPT 5 -era models if they're like Wildly better if it's as big a gap between four and five as it was between three and four That is a very different world from if it really feels like we're eking out these tiny improvements Despite having invested truly colossal amounts of money. What do you think would be a needle moving shift? I think the one that people are talking most about, which makes sense to me is just agency.
25:29I mean, like, GPT -3 wasn't good enough really to do anything remotely agenteic. People have obviously built agents on GPT -4, but you know, people doing that have said like, you can build great demos. You run it 100 times, you pit the best one, it looks amazing, but robustness is very, very huge problem and they're not reliable. But I think if GPT -5 were good enough that you could get much, much more reliable agents, I think that would feel like a qualitative change that was really impressive. Do you think the world is ready for an agentic, capable model to be unleashed? Not one that, like, many millions of instances can be run and they can operate at, like, nearly human level.
26:07No, I don't think that's what GPT -5 will be, but like one of the features I'm really interested in right now is I think we'll get really good agents in the next five years. And I think if you look at parts of the economy where we already have a lot of automation is pretty clear that that requires a lot of infrastructure, requires protocols for agents to interact. I think we're going to need that for AI agents. We're going to need to build great infrastructure to maximize the economic value of these agents. I'm so what does great infrastructure mean to mass -mouse? Well, let me give you an example.
26:39There are an area of the economy where there's already a lot of autonomous agencies, high frequency trading. Intrating, a lot of the work is now done by, I think you can only describe as autonomous agents, but we don't let them just go wild and pull their broker. And I mean, for ZeeCe, but if you look at the complexity of the infrastructure, we've built the edge. And it's a rules -based system, no? And the rules are quite, by the rules of very objective, when X meets Y, then do Z. Yeah, so I'm certainly not saying that we can just copy what we have, but I think it gives you, to me, it's like an intuition builder that let's say we're going to send out lots of agents to do economically valuable work.
27:14We need to govern things like, how do they interact with each other? What are the rules for that? How do you handle the edge cases? How do you observe what they're doing? How do you govern what they're doing? How do you get and keep to the rules? And so it strikes me that whoever builds the protocol that for key slices of the economy actually allows agents to come together and do business together, that's going to be an extraordinarily valuable company. Should government be the ones to do that? I think government should set the standards, but I just don't think government has a great track record of building important scalable software.
27:46And that's an independent company that would be wanting to setting that for you. So I think it's like it's the equivalent of building an operating system or a protocol. It's basically saying if you want agents to transact with each other, we provide the tooling that allows you to observe that, govern that, turn them off when they're not working, handle the edge cases, but imagine that a large chunk of the economy of the next decade it ends up being transacted by autonomous agents. I don't think they're gonna interact in the way that humans interact. There's gonna have to be infrastructure that allows them to interact and whoever owns that infrastructure and that's gonna be a huge asset.
28:19We're sitting in London, you mentioned about the kind of town in the north that you're from. Bradford. Bradford. Last one, Axon. There you go. I'm really worried about like knowledge and equality actually. And I think we sit here and we know all these things. Dude, a million people in the UK of 65 million have any idea what we're talking about. Maybe less. Do you not think this is going to create an ever -increasing cosm in wealth and inequality? I think one of the good things is people benefit from technology even when they don't understand it. I think that's like one of the big lessons in the history of the last 200 years of capitalism is that technology is the engine of prosperity and people whose jobs involve very little technology today make a whole lot more than the ancestors 200 years ago and have a much better quality life because of the benefits that technology brings.
29:04I do think it's true that so far, And the broad trend is that technology is what I guess economists call skills biased. It benefits people with more skills more than it benefits people with fewer skills. That is a big challenge for governments, also probably a big opportunity for entrepreneurs. But I think in general, the story of technology is an extraordinarily positive one. I'm not saying that people who shouldn't, including policymakers, look at this and say right, how do we plan for this world? Where relatively few people understand this, but it's a huge factor in everyone's lives. but I worry about that because I worry that you start to get the instinct of like maybe we should try and slow it down Maybe we should try and stop it.
29:43Do you think the fears of oh, we're gonna be regulated to oblivion and you're able to regulate ourselves as we generally have done is over Reaching my view would be and I think you see this already I didn't vote for Brexit broadly. I'm not a fan But it might probably the first issue where I'm like, huh I mean, if there are some benefits to this, it's just looking at the difference in approaches to AI regulation. I mean, I do think the EUA act is a mistake. My basic model of how that legislation gets rid is like a bunch of old dudes sitting in Brussels and saying, let's imagine everything that could go wrong.
30:13Okay, you're not allowed to do that. What's the biggest problem with the EUA act? Basically this, that it basically tries to anticipate the future, labels a bunch of things high risk and creates an enormous burden for companies trying to innovate in those areas. I think actually this is an area where the UK has done a lot better job than Europe, where we're not regulating too oblivion. In fact, on AI, the UK has less regulation than any other country that has a significant AI industry. So right now, there is no specific AI regulation in the UK. So if you're building AI in Europe, the UK is the best place to build.
30:46I strongly believe that. And that's because of the regulatory benefit. I think that's one of the factors. I think the other is just the extraordinary talent base. If you go back to the thing we start this conversation talking about, let's say I'm right that there's going to be like strong return to ideas, to new ideas over the next few years. I think it's very likely that of people in Europe who might have those ideas, they're disproportionately in the UK. Do you think so? And you think they will stay in the UK? Let's say you really believe that you could build, as I framed it, and you quoted like an anthropic or open -eye -eye scale company in terms of ambition.
31:17I actually think one of your biggest challenges building that in the Bay Area today would be building and retaining the AI I researched talent the next time. And people always talk about hiring, much less often do about retention. But the packages that Sam Altman will offer to your best people, the minute you get your first demo, it's really hard. In London, it's much more plausible that you build a truly world class research team and keep them together for long enough to really see the impact. And you're like, here in London, we have DeepMind, we have the London Office of Anth, we have the European Office of Anth, the European Office of OpenAI, We have wave, we have Oxford, Cambridge, Imperial, UCL.
31:55Why are we so fucking negative then? I don't know, I'm gonna do a spoiler. I know one of the questions you're gonna ask later is what do you believe that people around you don't? And I thought a lot about this, and I was like, oh, maybe I can say something about AI. And I realized the thing I really believe that almost no one believes is, I think the UK can go back to being pretty much the richest country in the world, but Captain, I really truly believe that. I think we can be at least as rich as the United States on a per -head basis. I think we've chosen not to be, and we just need to choose to be.
32:20We should be the obvious place in the world to build and scale technology companies that we can be. So what is that rate limiting factor? I think the big things are actually levers that we can choose to pull. You know, one of the things that I found just like really dispiriting when I was working in government last year was that I was an enormous privilege, but I got to go and meet Sachin Adela and Andy Jassy and you know, these people and negotiate with them on this summit. And you know, I was mainly talking about AI policy, But obviously they wanted to talk about the full tech agenda with the UK.
32:52And the number one issue that these companies had, and I'm really not exaggerating, was we want to invest billions and billions of dollars to build compute infrastructure in the UK and your local county councils in the middle of nowhere keep vetoing our data centres because they obscure a view from a railway bridge. That is a choice we have made as a country to not let the most sophisticated companies in the world, invest in sophisticated technology infrastructure in the UK. They want to. So all we have to do is decide that we want them to. How do we do that then? Do we just over all county councils?
33:26Well, no, there are various ways you can do it. Parliament can legislate to make data centers that there's a category of infrastructure project that doesn't get to be overridden locally, that like National Government can say, this is a priority. We can choose to do this. I don't want to make it sound simple. It's hard, and it will annoy the hell out of a lot of people. But, you know, planning is one, energy is the other. You know, I've spoken again, like, kind of with last year when I was working in government, you know, I've spoken to people that wanted to build enormous costas of GPUs in the UK and couldn't because of the limitations of our electricity grid.
33:58So what do they say then? Should we give up? We don't need to give up. These are all levers that the government can pull. Do you think a Labour government will pull them? Well, you know, if you read the Labour manifesto, They say that they're committed to growth in the normal and priority and they talk about things like planning They talk about things like compute infrastructure. So we'll see there is a window of time where this country has to decide What it wants its future to be my very good friend in her goth wrote this great essay very pressionally Actually now five years ago called AI nationalism where he talked about like if you believe That AI is the defining technology of you know our generation which I do then at some point countries will have to decide whether they want to be AI makers or AI takers.
34:42And if you're an AI taker, it doesn't mean that your country won't use AI. It just means you'll be shipping dollars to California to use California models on California and compute. We don't have to choose that. We can choose a different future and we have to decide. Or we can have beautiful views from railway bridges. It's so funny to hear the positivity. It's inspiring to hear you because I literally I just sit with other entrepreneurs and other VCs and everyone just fucking gets the sucks in London. But it's so funny, right? Because, you know, as you said, we're sitting here in London. And I would say, you know, weaving three miles of where we are, you have a top three global AI lab, arguably the one with the Broadest Research Agenda Deep Mind.
35:21So if I'm right, the ideas will matter, then deep minds, you know, right up there. You have probably the top embodied AI company, private company in the world in Wave. You have like probably the best life sciences cluster. In certainly in Europe, You've got, I'm super biased, it's on the chair, but you've got probably the most radical government R &D funding agency in the world in RIA. We know how to do this stuff already. We've just got to believe it now. What about people who say, ah, but the liquidity markets are shit. LSE is useless. There's not enough of a buy book. Big institutions aren't understanding enough.
35:55How do you think about that? I think they're right. The way I see it is, this is really a question about who benefits. It's not actually a question about whether we can build. What I mean by that is I would love it that when a 20 VC company or an EF company goes public, that the pools of capital that own that company are my mom and dad's West York's retention fund. Right now, that's not what's gonna happen because they're gonna IPO in places that the shareholders are probably American, it's a Vanguard and BlackRock, right? And honestly, for you and me, and for the entrepreneurs, who cares? It's all cash.
36:31But again, from a UK -like long -term growth perspective, I believe that so much of our growth, if we make it happen, will come from entrepreneurship, big advances in science and technology. I think frankly, capital markets are very efficient. Good things will raise capital. The question is who's capital? And I think from a UK PLC perspective, we should want it to be that it's pension funds, you know, with UK pensions, UK savers that are benefiting from that. So that's a big problem. What would you say to UK pension funds who are listening? Well, we were joking before. I've raised more money in an other Michigan than I have in London and I won't name the name of the pension fund, but one of my biggest investors is a state pension fund in Michigan.
37:11And they were one of the first pension funds that we pitched. So I still came out of it being like, these are the people we should be pitching. And the scheme in Michigan is $70 billion pension plan. And I remember coming to pitch a comparably sized plan in the UK and saying to them, what have you done in venture capital? And they said, we've heard of venture capital. But their allocation of venture was zero. And I just think that if private companies, if the most ambitious entrepreneurs are saying that they want to keep their companies private for longer, you know, if they IPO at all, they want to do it when the companies are extremely mature, then most of the benefits from growth will come to pulls capital that invests in venture.
37:51And if UK pension funds aren't doing that, how do they expect to be able to return to meet their promises to their pensions? I didn't know the answer to that, but I think that's what I would worry about. One final thing we do just a bit on founders, because I think it's such an important part, is just like the future of like modern combat and how AI changes that one of the most exciting companies coming out of Europe, I think is Helsinki and Toulston, one of the best entrepreneurs in Europe. My, certainly my best angel investment so far. That was a very lucky break. Well done. He is exceptional.
38:20He is true. The business is incredible. How does AI change the future of warfare? And you agree with Alex Wang that it is more powerful than nuclear weapons? That is a very Alex thing to say. I don't think AI today is more powerful than nuclear weapons. I don't think GPT 4 is... Have you tried perplexity? Well, have you tried a hydrogen bomb? I would say as a slight side note, I think nuclear war is really underrated as a thing to worry about. If you've not read it already and if you read it, haven't read it already, the best book I've read this year by some distance is Nuclear War, colon, a scenario by this amazing American journalist, Annie Jacobson, and she describes it as a nonfiction thriller.
39:03And what she does is basically just walk through step by step what would happen if a rogue country launched an attempted attack on the United States and all the things that could go wrong and lead to disaster. And it's chilling. I don't think I've ever had an experience with a book before where I had to keep taking breaks because I was like, whoa. But you know, she didn't make this up. She went and she spent thousands of hours interviewing the top people in nuclear security in the US and you know, like, former Soviet people. And it's an extremely compelling book. So like nuclear war underrated.
39:38But to answer your question, I think AI changes everything in the future of war. I think that if you look at what do soldiers do, how do we think about their value and how do we think about the harm that comes to them? When you look at a future where you can deploy thousands of autonomous AI drones into the mountains of Afghanistan and the Taliban have machine guns, I think it seems like a pretty unfair fight. An open question, I hope you'll listen, my senders their views. I think it's really an interesting question. How does AI change the relative power of offensive and defensive weapons. It's certainly plausible to tell a story how being able to build cheap, smart drones, benefits rogue actors, non -state actors a lot more than it benefits states.
40:27If you have very large, important assets that you don't want to be attacked, like aircraft carriers, you can make the argument that the ability to deploy very, very inexpensive, but pretty smart, explosive drones is really asymmetric. There's not much in aircraft I've carried can do about that. One of the reasons I'm very interested in defensive technologies is I think we're gonna have to think about problems like that and get ahead of them. I think there are a lot of scenarios where it's not obvious it actually benefits the current established powers. You're more excited or you're more nervous about the times I had.
40:58You know, one thing that I'm just very aware of as an investor is I think cyber security as a category is gonna be more important than ever. But we could completely have a world of deep face. There's so many things that I do worry about. And I don't mean to be negative, No, no, no, no. But I am so when you think about the future of your children. So I think probably like the worst idea in the world that it's acceptable to hold in polite company is like degrowth. Like the idea that like oh you know like the real problem in the world is like too many people too much staff too much consumption we should shrink populations we should shrink the economy I could not hate that idea more.
41:31All human progress has come from growth. I want to see technological progress I want to see people building amazing things and as using more clean energy to do more amazing things. I don't think that it's therefore inevitable that all technological progress automatically leads to great outcomes. I think you just have to look at nuclear weapons to see that, yeah, so far we've done pretty well, but there's some pretty terrifying stories about near -misses. Russian, relatively junior soldiers ignoring false alarms that look like incoming strikes and as a result saving the world. That's not to say that tech progress inevitably leads to disaster.
42:06I don't believe that at all. But I do think it matters in what order tech is built and I think it matters who builds it I think technology is ultimately like values later and so when I look to the future I see like paths to the most amazing futures as you probably tell from the discussion about UK I find it very easy to be optimistic But I think the only way we get to those futures is if we prevent very powerful capabilities nuclear weapons, for example, fall into the hands of people that would do as harm. And so, you know, one of the reasons I've really pivoted my time within, yeah, after working on defensive technologies is, I think there's an amazing commercial opportunity there.
42:45But I also think it's what the world needs. We need to build the technologies that mean that the negative consequences of the technologies we build, I'm it to get, not by banning them, but by building great defensive capabilities. Do we need to also invest in our offensive capabilities? Because, you know, I speak to a lot of investors, like, we can optimize the kill chain and look at this and I'm like, you fucking BCG analyst, speaking about kill chains. You know shit about kill chains. Well, I think our generation, if I'm allowed to put myself in the same generation as you, Harry, I think there is a real risk of complacency for us that we have grown up in a world of relative peace where basically wasn't really any geopolitical threat to our value system.
43:26It's clearly no longer true. I think we absolutely need to think about How do we make sure that we have the power to defend our values and our way of life? And I don't think it's a given. We are going to discuss founders. Okay. That was incredible. And you're like, you know, I didn't think Neat Clear Wars actually, that in probably, I mean, fuck it. I'm not. Breathe the book, Harry. You're going to love it. I'm going to read the book. So my question to you on, and actually, I suppose Charlie's on last night and he actually gave me this one, he said, and how much of a great founding team is the individual ability of the founders versus the synergies between those founders.
44:02This is something I've changed my mind on. I actually think more and more. The synergies matter, but ultimately, I do think entrepreneurship is one of the paths that most relies on the peak performance of the highest performer. So there are some walks of life where what really matters is average performance. You know, like, how well do you do the median day? And there are other walks of life where it's like, how well do you do it your very best? You need people in every company who are in the form of category who can day in, day out, turn out excellence. Let's use housing as an example you already brought up.
44:40You also just need the peak performance, the best day from the top town in the company to be truly exceptional. And so like, yeah, synergies do matter, but probably the best predictor is how good is the best person at that best. I think the other truth is that very, very, very few teams stay together for the long, long time, and that negates the importance of the synergies in the long time. So I think that's true, and I think a lot of that is about self -discovery. As you know, a lot of the time when that happens, it's actually about those founders learning what they really want. You know, I think one thing I've learned, having now followed hundreds of founders from kind of often before they even knew they wanted to start a company, how are the time like, especially first -time founders?
45:24Just can't really predict what that's going to be like. This is very hard for most people, and actually I don't think that the best founders, the ones who predict best what it's going to be like. I think they just take it as it comes. But I think a lot of the time when founders don't work out in companies that do, it's that one of them realizes this really wasn't, or at least the bit that's to come is not for them. Do you think everyone has the ability to be an entrepreneur? No. I think entrepreneurship is best to think of it as like, there's nothing like medicine, but in the same way that I don't think everyone should be a doctor or could be a doctor, I think you should think of entrepreneurship as like a high -skill, extremely high -skill profile.
46:01You know, I'm the sort of person that's inclined to want to read like the academic literature on something and on the basis that surely, like, with something we know and we can, you know, there's some alpha in line. I was in general, the academic literature on entrepreneurship is not helpful for either entrepreneurs or VCs. Might be interesting, but there's no like, alpha in it. The paper I think about all the time called forced entrepreneurs, what it looks at is in certain markets, when there's a recession, the dominant employers of high -skilled people, high -few people. Obviously, example in the UK is financial crisis, the bank's higher -few bankers.
46:34And unsurprisingly, in those periods where the level of hiring of kind of highly skilled individuals into finance falls, more people start companies. That's kind of like probably quite obvious. Everyone would sort of intuit that. What's non -intuitive, and in fact, I think maybe even counter -intuitive, is that not only do those people in start companies, they do on average better than the median person who was a starting company in a year without that recession. In other words, the forced entrepreneurs, the ones that go into it because the bank stop hiring do better than the people that chose the previous year.
47:08They realize this like on the verge of being like rude and controversial is that in most ecosystems, it is not by default the very most talented and ambitious people that become founders. It probably is in the Bay Area. The reason that I think there's a huge opportunity in the UK and in Europe and in India where we work is that you can find those truly exceptional people and they, it's not obvious. It's much harder in the Bay Area in a way because there's so many more opportunities for investors to meet those people. But the point I want to make is even today in the UK, even with all the progress has been over the last decade in the ecosystem.
47:44I would say the most aspirational job for a Cambridge computer science grad is to go work at JN Street, be a trader. I think that's the number one job. How much do you earn as a trader at JN Street? I watching amounts, even for you, Harry. It's pretty extraordinary. Like a million bucks. A year one. Yeah. But like, by the time you're a few years in, if you're good, many, many multiples of that. So this is the point about this paper. is what it shows is talent is somewhat flungible. It's really tempting for those of us that live and breathe the industry to be like, there are founders, there are non -founders.
48:15But actually what there is is this talent and this ambition. And if that talent ambition is applied to a trading, then there's people be great traders. If that talent ambition is applied to entrepreneurship, there's people be great founders. And this is the secret of the Bay Area. Like why do Silicon Valley work? Because the most ambitious and talented people in that area come founders. If the same thing happened in the UK, in Europe, in India, would have very similar outcomes. So what is different about those ecosystems? Because there are, I'm sorry if it being naive, there are Jane Streets equivalent in the US who will put, I'm sure, the same package is down.
48:45But the ambitious people there say, no, I'm gonna start a company and the ambitious people here say, sign me up. I think it's like just the belief capital. You know, like there is this sense that like, if you're a Cambridge computer science grad, five years out, probably the richest person you know is the one that went to Jane Streets five years ago. That's probably not true in the Bay Area. And so like there's just - It's read Hoffman, or - Right, yeah. No, but I mean, even your peer. Sure, someone who's sold to drop off - Yeah, yeah, exactly. 200 million million, and then seven percent. And so just, but that's still not true here.
49:16That's the bit I think we still need to see change. But we've waited long enough, Matt, and we've had exits like Magic Pony and in between - Which is why it's a lot better than it was. It's a lot better than it was. And when I started visiting university campuses properly, when I was nice, I started AF. I think it was in period of less 60 % of computer science grads went into finance. That number is not that anymore. I actually don't know what the number is, but I would be surprised if it was like a fraction of that number. It's just changing. I thought one thing there that we were seeing was a movement away from pure focus around money.
49:44For sure. And, you know, I'm sort of deliberately being sort of reductive about it to money. And clearly, part of the reason why actually really exceptional people do start companies in the UK is exactly that. Like, yeah, I'm sure they could go work at Genstri or wherever, but they want to do something. Whenever, you know, I'm in a conversation where We've offered someone a place, yeah, and they've gone off of from Game Street or similar. I'm like, yeah, you could be an extremely highly paid crossword puzzle solver, which is sort of how I think about Genre Street playing a zero sum game or you can change people's lives.
50:19It's up to you. And actually a lot of people, exactly as you say, are not just like maximizing next year's income. That's where it comes from. My point though is that it's less at the individual level. I'm saying at the system level, our biggest challenge I think in Europe is still talent allocation. Can I ask you, what did EF get most wrong in your assumptions on talent? You know, one of the challenges of this business and you may feel the same is that the fee bat loops are so long. And so, you know, you do something, you observe a short term metric like, do there is a seed round, do there is a series A?
50:53And then years later, you find out whether the company's any good. And so I think one of the things we got wrong was just overreacted to short term data early on. So in the first couple of years we largely funded people who were straight out of university. And then as the brand grew and the Chareco grew we got more and more applicants who were like in the sort of like 30s. We're like wow this is great. We're able to like move up the experience curve. And of course the problem was they were more experienced but they weren't the very best 30 year olds. One of the things that I think we made a mistake on is that as we scaled and particularly as Alice and I stopped making every selection decision, you got into the thing where it's very hard if you're new to what we do to compare the CV of like a 31 year old who's actually good but not exceptional and a 21 year old who's exceptional that has no experience and choose the 21 year old but you actually should choose the 21 year old.
51:46What's the graduation rate? So we have two phases to what we do so I've ever phase where it's basically common sea. We put you in a room with what we hope is like a really exceptional peer group of people that are equally ambitious, equally talented and say like, you know, take 10 weeks to figure out if there's something that you really want to work on or someone you really want to work with. And if there is, awesome, like let's do the next bit. And you know, that bits the sort of unique beer vf, it's like not like an accelerator, it's really like about peer group curation. And so like, let's say for every hundred people that join at that stage, something like 80 of them will pair up with someone and come up with an idea that they're excited about.
52:28But we then do a cut where we say like, do you really wanna spend the next 10 years of your life doing that? And do we really think that's the best use of your time? And so we cut about half at that point. What's the most common reason you cut there? Everyone who joins us has like a huge opportunity cost. Right, we're very lucky to have thousands and thousands of applicants to be able to pay really great people And so like I just think like the worst thing we could do is say like yeah do that do that for the next 10 years I don't feel guilty at all about people who want to see whether they should be found or they come and they find out it's not for them I was fine.
53:00They go back and get it up The only people I would ever feel guilty about is people that come and spend seven years of their life doing something That could never be big enough to fulfill their ambitions And so probably at that stage, we'd say we'd like to fund about half of the combinations that have come up. These are teams that are 10 weeks old. You know, we now put in 250K at that stage and I would say of those, typically like two, three quarters would raise the seed round. Dude, I want to move into a quick fight because like I told you, I'm going to do it. Let's do it. Okay, so let's start off with which fans from best to do most respect and learn from.
53:33But I was going to say Charlie Songhurst and you've already name checked him. I think he's also an angel. Yeah, but he's probably deployed more capital than most seed funds I would say every year. He could easily put a wrap around it and he would be a fund. The reason I would say Charlie is like, I think Charlie has two things that I think he is very plausibly the best at in the world. One is, I think he's just a great talent spotter. I think he's just really able to see the best version of every founder that he meets and decide how good that is. If you go back to my idea that they're actually what matters is the peak performance from the peak person.
54:13Like Charlie has an incredible way of like very rapidly building a model of like how good is this person of their best? That's an exceptional thing to me. Because he invests so early, that's just like an amazing thing to be able to do. The other thing he does better than anyone else I know, he pitches back to the founder, the most ambitious version of the idea they've just pitched him. He's just exceptionally good at that. and he learns so much from how the founder responds. A lot of people in Europe, and you know, Charlie and Vest are on the world, but you know, one of the things that he and I just cost a lot is part of the reason it's hard to do investing here is that often by the time you meet founders, they've conditioned themselves to like reduce the ambition in the pitch because they're just being so used to people being like, well, that's not very realistic.
54:53So what Charlie will do is he'll pitch back to you. He did, you know, he was one of the first investors in the effort. He'll pitch back to you like what it could actually be. I think he's basically saying like, does that excite you? Do you say like, yes, finally! Someone who gets it, or do you flinch? And I think it's an incredible skill. What was the most contrarian or unorthodox advice you would have for founders? You can start a company with a stranger. You know, I think a lot of the conventional wisdom on who you should start companies with is just survivorship bias. Just that historically, it was almost impossible to start a company with a stranger.
55:24So the only people that the venture community saw were people who founded companies with people they know for a long time. And therefore, you know, of course it looks like that's the only way to do it. What if you changed your mind on it in the last 12 months? 12 months ago, if I'd been on here, I would have told you, it's too late to build an EGI company. Like that ship sailed, there's going to be like three or four of them that already exist. I now think the most ambitious founders today should seriously consider whether that's what they can do. Children give you a glimpse of a second life if not an eternal one.
55:54What do you biggest Athens on Fatherhood, mate? So I've got two little buys, one six and one is three and three quarters, as he very proudly says. I do think Fatherhood has been for me a real sort of exercise in humanity. One of the advantages of founding something is at least at work, people sort of listen to you. And you sort of earned in the sense that you started it, but it's sort of on a day to day better, it's somewhat unarmed. Kids do not care. My sons have no like, oh well, Maybe just means I'm a bad dad, but there's no sense in which, like, oh, well dad's talking. So, like, he must be right.
56:29And I don't want to sugarcoat it. I think fatherhood is really hard a lot of the time. What's the hardest part? The hardest part is that there are no shortcuts. Like, these are humans, and if you want to have a great relationship with them, if you want to be a great dad, you have to invest in that in exactly the same way you'd invest in a relationship or a friendship. And early on, they're less fun than your friends, frankly. A lot of people seem to like, maybe I'm not very good, but like, it's this thing where you truly love them in this very deep way. It's hard work to invest very deeply in this sort of relationship where, you know, whenever I travel, which is a lot, I sort of have this idealized fantasy of when I come home and they're going to be like, daddy, and we're going to have this like and the conversation about where I've been, and what I've seen, and instead it's like, yeah, basically, it's like, I've put on the floor and I'm gonna scream because I wanted a green bowl and you give me a pink bowl, and it's hard, it's not this linear journey, but what's amazing is it does compound.
57:40So many of the best things in life. and the moments when you realize you've built enough trust that they can find something, something that's could have been going around that little mines and they're not almost not being sure about how to articulate it and then they say it's usually in the market, it's like when they're going to sleep, going to bed and just like wow it's really totally worth it. One of the most special things that you can do, Matt, you've been interviewed many times by many different mediocre or shit media outlets or journalists. The question I wanted to ask is what question you never asked that you feel you should be asked more.
58:13Very few people ask me why I like writing a immersive murder mystery games, but they should. Why do you like writing immersive murder mystery games? Most of us have this itch that is very hard to scrap, which is to be in these completely alien in the environments where we get to be someone else and do something else in a way where no one is in charge. If you look at things like Secret Cinema and how popular that's being, I kind of feel like it's really interesting, people are dressing up and doing the thing, but it kind of like you dress up, you watch the film. I think most people, how an itch, see like what would it be like to actually have to like know through this scenario, but with no consequences?
58:58I've written a series of historical murder mystery games where you don't know, it's not predetermined and who or if anyone will be killed. There's 12 characters, you each have a set of goals and relationships and the evening just unfolds and you decide what happens. And I love playing them, I love writing them. I think it's this sort of human itch that there are a few ways to scratch. And I just like some of the most fun that I think you can have. You can see them on my website, Harry. See the next, Jennifer. I have been listening to Creator Economy as a life and wealth in the universe. It's lucrative, I can tell you.
59:29There you go, Mr. Beast, watch out. Matt, I've loved it. that's we've gone from Newt the award to, you know, AI, supremacy, you've been amazing. So thank you so much for joining me. Thank you for having me, I just been great fun. I have to say, for me doing this show now, it is so special when you have a show like that. As I said at the beginning, I've known Matt for close to eight years, and so to be able to have that conversation and still have our relationship, it means a huge amount to me. If you want to watch the episode, you can of course watch it on YouTube by searching for 20VC. That's 20VC.
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From the publisher
Matt Clifford is the Co-Founder of Entrepreneur First (EF), the leading global talent investor and incubator. EF has incubated startups worth over $10bn, including Cleo, Tractable and Aztec Protocol. Matt is also Chair of ARIA, the UK’s Advanced Research and Invention Agency, and advises the UK government on AI and in 2023 served as the Prime Minister’s Representative for the AI Safety Summit at Bletchley Park.
In Today's Episode with Matt Clifford We Discuss:
1. The Most Important Questions in AI:
- Are we seeing diminishing returns where more compute does not lead to a significant increase in performance?
- What is required to reach a new S curve? What do we need to see in GPT 5?
- Why does Matt believe that search is one of the biggest opportunities in AI today?
2. The Biggest Opportunities in AI Today:
- How does Matt see the future for society with a world of autonomous agents?
- What is the single biggest opportunity around agents that no one has solved?
- Is society ready for agentic behaviours to replace the core of human labour?
- How does warfare change in a world of AI?
- Does AI favour states and good actors or criminals and bad actors more favourably when it comes to offence and defence?
3. China and the Race to Win the AI War:
- Does Matt believe that China are two years behind the US in terms of AI capability?
- What are Matt's biggest lessons from spending time with the CPP in China working on AI policy?
- In what way is the CCP more sophisticated in their thinking on AI than people think?
- What is the bull and the bear case for China in the race for AI?
- What is the core impact of US export controls on chips for China's ability to build in AI?
- Does a Trump vs a Biden election change the playing field with China?
4. What Makes Truly Great Founders:
- Does Matt agree that the best founders always start an entrepreneurial activity when they are young?
- What is more important the biggest strength of one of the founders or the combined skills of the founding team?
- What did EF believe about founders and founder chemistry that they no longer believe?
- Does Matt believe that everyone can be a founder? What are the two core traits required?




