AI Panel Discussion Pt. 2 w/ Emad Mostaque, Salim Ismail, Benjamin Plummer, Francis Pedraza, Steve Brown, Guillaume Verdon, David Blundin, Ramin Hasani, and Alexander Amini | EP #97

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You're about to make a trade. Which u do you listen to?

Is it get optioning those options.

Or let's do a little research. Learn more@finra.org TradeSmart we're building a supercomputer with intel and we just released some results showing that the next Generation at stable diffusion 3 runs faster on intel chips than Nvidia chips. All those companies will succeed in parallel. There's no worry about competition whatsoever. It's leveraging talent, not replacing talent. It's an unleashing the creativity of talent instead of bogging down in it. So I mean nobody here feels like we're putting ourselves out of business. We're like, we feel like we've got more things we want to do than ever could. One person by themselves, with no in house team, no W2 employees, build a company worth a billion dollars. I don't know what you think. I. I think it's possible as we automate more and more of our economy, we're just going to aim higher and go for bigger wins.

Every room we walk into, there's all of these adjacencies we never knew existed before and these are opening up before us. They're literally materializing.

Please, sir. Dinesh from London. I wanted to find out from Invincible. I mean perhaps you already know this and I'm sure you do, but it's a marketing opportunity. All of here are CEOs of our companies or have enough money to start companies. If you could make us as individuals, AI savvy in whatever we do, we can then transpose that information onto our boards, onto our companies and that might give you a lot more business. That's a great observation. What's the question? The question is, can you sort me out my life? I love that. So that I can use AI more efficiently in my. That's why we're here. That's why we're here.

There's an app for that.

Yeah. Please come meet with my, meet with our team. We're here at the booth and we'd love to get to know you and build a relationship. We're a very relationship driven business. And this is, you know, it's not just a today thing. In the last 12 months, think about how much innovation has happened. In the next 12 months there will be more innovation. So just like Lord of the Rings, there's not one ring to rule them all. In AI, there's going to be so many different apps and models. The question is how do you integrate them into your business? And that's an evolutionary thing.

Okay, I'm going to default to like 20 second answers. Let's go to Golkam on Zoom.

Last year you were talking about building up country models. Have you proceeded with that? And if so, what's the result? Yeah, so we've done Japan, about to release Spain and about a dozen others and the plan is to go to probably 100 cultural models by this time next year and then open data sets for all of them so you can take them and remix them with all the other models that everyone else has as well.

Thank you. Going to Robert on Mic one.

Yeah, hey, this is for Imad, just following up on you. You were showing yesterday the hundred cats per second and how good we're getting at that. How long to super simple. How long till I can take my favorite book or novel and just feed it into the computer and have the computer make it a movie or a Netflix series? It's a very big computer in the cloud. About two years. Two years until we can do that. Yeah. It won't be real time, but yeah, I'd say two years. Because movies are made up of lots of short scenes and we can already do short scenes and now it's all about how we bring it together.

Does anybody on here disagree with that?

How long till a good movie? Well, Netflix is most. Making a bunch of clips is not what a movie is. I would argue. I have a counterpoint, which is the editing of stitching scenes together as A very deep art form. I would guess that that's the longest to be automated. Would you agree? Yeah, that's why it's two years, not one year.

All right, let's go to Yash. I'm like to here.

I have a question for Dave. Dave, I come from India. I'm a venture and growth equity investor there. What. And India is relatively a nascent landscape for what would be the first three investments that you would make, whether it will be infrastructure oriented. If you have to start investing with harnessing artificial intelligence over there, that's really, really easy actually, because the first question we had is the answer to your question. If I were in India, where millions of people have taken Alexander Amini's class, who's on stage yesterday, huge educated, AI ready population. Meanwhile, companies like you just heard are saying, how on earth am I going to act on anything I'm seeing today? So if you connect those two dots, what they should be doing is, is investing at the seed stage in groups of 10 or 20 people that you assemble and then you say, okay, but then you be the first customer for what we just created and guarantee me my first 5 million of revenue. Your company will skyrocket in value. You can do it 30 times in a row. They'll actually get the delivery they need on everything you're hearing in this session. And will that be different from Invisible with the landscape and the, the. Does it need to be customized for India or can something like an invisible only come and do this? This. Will it end up competing in something like. It doesn't matter. It's almost exactly what happened when the relational database was first invented and every company needed one all of a sudden. And there must have been 50 or 80 successful companies that were delivering in all the different vertical sectors. And it wasn't until five or ten years later that they all aggregated and Oracle bought a bunch of them and. But you don't have to worry about that for years. What matters right now is that there's never been a technological shift this quickly and this globally impactful before. The analogy to the relational database is a joke. It's like this is hundreds or thousands or millions of times bigger than that and it's much more urgent. So all those companies will succeed in parallel. There's no worry about competition whatsoever.

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Hi, I'm Caitlin Krause and my MTP is to empower meaningful human connection through imagination, wonder and awe. And my question is about digital well being because we want to use AI and we want to use it mindfully. And it's a time when there's a lot of noise in the world. So what advice do you have about people who are interested in wonder and awe like me using them in spatial immersive environments. How to do that without increasing the noise factor and all of the steps static. I mean one of, I think the challenges we're going to face is just like with our use of gps, if we're not careful, it can erode our ability to navigate.

Like me, I can't, I can't figure out which ways I know up and down.

That's about it. Yeah. And so interestingly enough I've actually, you. This is going to be a little controversial perhaps, but I can, I've started to be able to tell who uses ChatGPT for their thinking.

Like, like for their, for their thinking.

The people that use CHAT GPT all the time, they actually start to think in a sort of, they sort of feel a little bit like a Gaussian blur of the Internet. And so I think as we think about what it is to create well being, we need to be thinking about how do you create a developmentally aware set of AIs so that you know at any time where a human being is and what is the next possible place they can move such that it removes the dependence on the sort of teacherly authority. AI versus like creating greater dependency.

Amazing. Let's go to Charles on zoom. Charles, hi.

Thank you all. Saleem, I'm going to start with you. Okay. I'm trying to build an exponential organization. And so one of the first requirements is staff on demand. So why don't you debate Invisible about how you would use them and even.

Bring in, say about a marketing campaign and then bring in Steve Brown and.

Brittany as to how you would do.

The investor relations for this business.

Thank you. I think you just answered the question. So the obvious thing to do is in an exo, you want as small resource footprint as possible and partner wherever possible. So a partnership with something like Invisible is fantastic because you just go help me sort that out. What I love about the model is they're helping you build that muscle and over time it's going to be really important to have as much musculature inside your organization to be applying some of these tools then you can maximize leverage and impact from that. And if you want Brittany to do your earnings calls, she's available.

Let's go to David here on mic three.

David, I'm curious about using AI to make myself the best person I can be and just open to the forum. Are there any recommendations you have? Should I be uploading all the emails I've ever written, all of my journal entries? Is there a way to get myself into AI so that I can learn more about myself? Is that a worthwhile effort? And should I be documenting my thoughts every day? My inner psychosis? Yeah, just curious about that. The AIs are doing it already, so don't worry about that, just start talking to it. Yeah, I think a lot of people that are users and creators on top of the AI stack are worried that they're not deep in the foundation of it. But when Snapchat went public, $20 billion valuation, it was 5,400 lines of code. You know, it's such a, this tiny, tiny little thing on top of all the tech. What you're seeing in media right now is, you know, the question earlier was how long till we can create a feature length movie just by voice prompting it. But that's not the target in media. What's taking over is short form. TikTok, Instagram, YouTube, short form. So with AI on top of this, it's going to, there's going to be media that's billions and billions of dollars. That's long before a feature length movie. That's the wrong target. So I think anyone who jumps in is going to find that you can build micro communities around any topic. If you have anything interesting to say in the world at all, you'll find followers and you can use the AI right now as a force multiplier for yourself no matter what your mission is. So whatever you're good at and whoever is Interested in what you're doing, you can immediately act on it and you don't have to worry about being where Ramin is. Very, very few people are where he is in this world. Many more people are on top of it. It's. There's a huge opportunity there.

Let's go to Pete, Mike too.

Okay. I would like to know if you have an idea about how it will have an impact on IT infrastructures, mostly data centers. Where will you put those infrastructure if they will be larger or smaller? I don't know. The trend is to go larger data centers, bigger clusters, GPU dominant right at the moment. GPUs are the best type of computer to run these AI algorithms and higher bandwidth. Right. Because you're trying to achieve data parallelism. Do some model parallelism even because the models are too big to fit in any one memory. And so faster interconnect bigger clusters, more power. That's the trend so far. Right? Unless something comes and disrupts that. Yeah. Most data centers historically have tried to be close to the customer and the user to keep the latency down. You don't have to worry about that. You want to be close to the power supply. So that's a big difference. There's also a whole bunch of models where you can use crypto tokens for AI cloud compute. Those are getting very interesting. So check those out.

Okay, let's go to Blake on Zoom. Hi everyone.

Thank you guys for sharing with us today. It's been amazing. I'm just wondering, as we get better at the automation and consolidation of all of these tasks, what is the end goal that we see as far as the number of companies that we are all going to have the opportunity to build and then the lack of need for people within those companies. It seems like markets could get oversaturated. So I think for the invisible team, specifically, where do you guys see the corporate space in five years? Us all running companies that we don't necessarily have to put time in to run. I love this question. Sam Altman Talked about the one person unicorn. Could one person by themselves, with no in house team, no W2 employees build a company worth a billion dollars? I don't know what you think. I think it's possible. As a matter of fact, it's not a new idea. About 100 years ago there was an economist named Ronald Coase and he realized that it was possible in the future to have more and more of your team be outsourced. Do you know that only 5% to 10% of knowledge work is outsourced today by 2050, do we think it's going to be a higher number? Maybe 25 to 50%? Maybe that one person unicorn has 99% of their team on Invisible. And that's exactly the future that we're powering now. But I don't believe that we're going to get to 90% unemployment. I think that if the nature of the firm shrinks because of technological capabilities, there's just going to be a wave of entrepreneurship. All this talent gets liberated to do new stuff. There will still be things that humans can do that computers still can't. So thank you for that question. Just to add to that, Peter and I did a whole podcast about we needed three people. A three person team could create a billion dollar company. A vision guy, a product guy and a builder. And Sam of course went to one. But think about the idea. If you go down where Steve is going, where you essentially get to a fully autonomous AI building its own companies, right now, things get really weird. And I think navigating this is going to be pretty much dominating the business landscape for the next decade or so, which actually brings up the next really important point, which is right now there is an incredible amount of money going into figuring out how do you make AIs aligned? How do we make sure they do what we say they're going to do? But if an AI is wielded by a corporation that isn't aligned with all of our best interests, it's not really an aligned AI. So I think a major opportunity for everyone here to start thinking about is what are evals? The thing that evaluates an AI, what are evals for corporations? Because when the corporations punch, they can punch a hole in the Amazon. If they're just out there operating autonomously, that's incredibly dangerous. Nice. I would say, you know, we've had ways to align corporations for many decades now. I think that applies to having AI workers within your workforce. To me, the future is not necessarily unemployment, it's actually corporations, maybe being 80% AIs, 20% humans. But we have way more corporations and we're far more ambitious with what we do. Right. Ultimately, if you think, you know, like a physicist, the system will grow and try to unlock more for energy. So does that mean colonizing Mars? Because there's a lot of opportunity out there potentially. Right? There's a lot of upside, but it's behind a lot of challenges. And so I think as, as we automate more and more of our economy, we're just going to aim higher and go for bigger wins. Yeah.

Gil brings. And I'm really important. It's the abundance mindset, right? It really is.

We are.

Every room we walk into, there's all of these adjacencies we never knew existed before. And these are opening up before us. They're literally materializing. Right. The adjacencies. Everybody, I want to take a short break from our episode to talk about a company that's very important to me and could actually save your life or the life of someone that you love. The company is called Fountain Life, and it's a company I started years ago with Tony Robbins and a group of very talented physicians. You know, most of us don't actually know what's going on inside our body. We're all optimists until that day when you have a pain in your side. You go to the physician in the emergency room and they say, listen, I'm sorry to tell you this, but you have this stage three or four going on and you know, it didn't start that morning. It probably was a problem that's been going on for some time. But because we never look, we don't find out. So what we built at Fountain Life was the world's most advanced diagnostic centers. We have four across the US today, and we're building 20 around the world. These centers give you a full body mri, a brain, a brain vasculature, an AI enabled coronary CT looking for soft plaque, DEXA scan, a grail blood cancer test, a full executive blood workup, and the most advanced workup you'll ever receive. 150 gigabytes of data that then go to our AIs and our physicians to find any disease at the very beginning when it's solvable. You're going to find out eventually. Might as well find out when you can take action. Fountain Life also has an entire side of therapeutics. We look around the world for the most advanced therapeutics that can add 10, 20 healthy years to your life. And we provide them to you at our centers. So if this is of interest to you, please go and check it out. Go to fountainlife.com Peter When Tony and I wrote our New York Times bestseller LifeForce, we had 30,000 people reached out to us for Fountain Life memberships. If you go to fountainlife.com Peter, we'll put you to the top of the list. Really, it's something that is, for me, one of the most important things I offer my Entire family, the CEOs of my companies, my friends, it's a chance to really add decades onto our healthy lifespans. Go to fountainlife.com Peter it's one of the most important things I can offer to you as one of my listeners. All right, let's go back to our episode.

My question and comment has to do with ownership and power, right? So there's five or six companies that right now are setting themselves up to pretty much own everything. And what I don't hear about are decentralized systems. Decentralized LLMs that could work like Bitcoin or Ethereum can work where no one actually owns the network, but there's incentives to contribute, use, provide cpu, GPU power, etc, etc, and it seems to me that this would be society's golden opportunity to have no one necessarily own these networks. Just like in the future, I think no one is going to own decentralized finance. And I'm curious if you have an opinion as to why we're not hearing more about this. I just read about Project Morpheus, which I think looks really interesting, but I'm not really reading a lot about any kind of big movement in this direction. Go to huggingface Co and look at the number of models that are there that are open source and it's something like 600,000 now. And that means there's probably like a couple million entrepreneurs at least, because I don't think everybody has their own model. But there's a lot of entrepreneurs doing a lot of things decentralized and that are super empowered now. So you hear about the big tech thing and you look at their demos and half the time they're faked or they don't work. But all the cool stuff is being done by these small startups and super powered entrepreneurs. So I think the actual opposite is happening. A year ago I was exactly where you were. I thought, oh my gosh, it's a winner take all thing. Microsoft OpenAI is going to take everything now. It's like, oh my gosh, that's a commodity. It's thousands and thousands of flowers blooming right now. When I set up Stability originally it was meant to be a DAO of daos and decentralized. Then I realized there wasn't much intelligence in Web3, so I had to build it first. So yesterday I just joined the board of Render, for example, and we're going to use hundreds of thousands of GPUs to create synthetic data sets for media. And there's more coming along those lines. Like we've had 330 million downloads of our models on Hugging Face already. And the next step is how do we Decentralize it, give ownership to everyone. So with the national example, for example, we're talking to governments, can we give ownership of the governance of the data to every citizen in every country? Because I think this will actually become less about the models as amazing based models, they're like graduates and more about who controls and owns the data. Yep. And those data sets are on hugging face too.

And I really just want to applaud IMOD what you're, what you're building and doing. It's, it's a beautiful vision. Let's go to Zoom. Andre, you.

Peter, one quick. Oh, just go check out a token called Hypercycle which is trying to do this democratizing AI compute in the cloud and people can build their own models and just bring in compute as they need it. So there's some amazing stuff happening in the decentralized web3world.

On to Zoom. Andre, you.

Thank you. Peter. This could go a bit wrong. Both my kids are still awake and my wife is on business trip. Love it. They paid attention for sure. Their question is how can they buy the Google glasses? But let me ask my question that I asked you yesterday, Peter. We've seen Nvidia share go from, I don't know, increased to 885, right. Raised more than $600 as they increase their power on AI computation. My question is a bit twofold. One is, did you guys see this coming that the company could grow so much within a year? And the second one is do you guys see any other company following that could bring good tech to help on this?

That's a great question. I'm sure your kids asked you that question too. So I saw, I saw. Gil, you're you nodding.

Yeah. I mean, Nvidia was, you know, what was it a year, year and a half ago? The price was irrational. Everybody who's a practitioner knew that Nvidia is so dominant in the AI space because of their compilers and their hardware. What doesn't make sense to me at this point is why AMD is not really on their tails. And it has to do with software, with community, with open source. You know, a friend of mine, George Hotz, is working on the compiler for amd. So, you know, if something happens there and you know, he has a lot of influence that could catch up. So that's kind of like public companies, obviously in the private space. We're trying to be the next Nvidia, obviously for those reasons, with a fundamental paradigm shift. And that's the only way to, as a very small player, disrupt an incumbent. But Overall, I would keep my eye in the public markets on AMD first and then potentially intel as kind of next up. Eventually the advantage has to be eroded to some extent.

Yeah. I'm curious who's thinking about intel right now and its ability? Iman?

Yeah. So we're building a supercomputer with intel and we just released some results showing that the next Generation at stable diffusion 3 runs faster on intel chips than Nvidia chips.

All right.

And the Gaudi 3 chip is the same as the B100 in speed, pretty much on a price performance basis. But everything will commoditize there and it's about the entire sector going huge. This is one of the biggest infrastructure investments ever. So you can play the beta to the sector from AMD to Intel. And Nvidia probably still isn't done. It's still only 34 times earnings.

Stacy, are you in the room here? Stacy is one of our patrons who's a senior VP at Intel. Let's go to Pete. Hi, guys, I'm the data center guy.

So, Gil, I need to find the venture capital firm that I could put.

Money into because I want to invest in you today, not tomorrow. I. I want to help you get there, but my question is, besides the data center guy, I got a killer software app that I need help growing. And so for the invisible guys, do you. Do I want to get it right from the beginning?

So will you help a startup? Yeah. We work across the complete spectrum. We work with companies with 5, 10 people just getting started, all the way up to the biggest companies in the world. And so we have customers spending 1,000, $2,000 a month. We have customers spending millions of dollars a month, and, and so everywhere across that spectrum, we'd love to bring you on that journey. Helping companies grow and create amazing value is what really drives us.

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Lars from Stockholm originally. I live in San Diego now where I met Francisco, what was it, 12 years ago? Something. And we there, we talked about the Ronald, the Coase theory and why corporations exist. One of the reasons is to internalize all the uncertainties and organize labor force. And I'm so impressed by both what you have created, you and the whole invisible team. But also Peter, this is awesome. What a great conference. It's totally stimulating and so much talent not only on the stage but also in the whole room here. There's lots of entrepreneurs and builders who are creating new businesses every day. And it's very much about talent. We have talent here on this stage and I'm in the talent industry myself, holistically building recruiting companies, matching companies and similar things. I think at the core everything will also be about talent here. I mean we have had this wonderful debate about the future of AI and you know, long term is it a threat or is it an abundance? Is it a blessing? I think everybody can obviously agree though that it's going to replace talent people out there. And of course it's a paradox that some of the best new non biological talent in the world is created by great biological talent as yourselves. Gentlemen. Where are the women by the way on the stage right now?

Where are the women on the stage?

Where'd Caroline go? But on that point you are wonderful individual biological talent. And we're creating solutions now to replace biological talent out there in order to reallocate Resources, of course, the future, so people can do even more what they want. And I do think that's a blessing. But in the meantime, for the next five, 10 years, we know things are going to go fast. What do you think about the future of talent, the future of the workforce? Because that is, I think, something we can all agree to, that there needs to be some kind of fixes there, because it's going to go fast. And you don't want to have a major social unrest in the world when those hundred billion people are replacing the biological talent. And what's the future of education? To what are kids going to train themselves into the future? Like 15? I know, amazing. Go ahead. Hold on. Let me address the future of work side first, because we've done a lot of thinking about this and we've watched this over decades now. It turns out when you look through human history, when there's a major automation of something, right, the instant reaction is, oh my God, we're going to have millions of people out of work. What actually happens is we create a ton more work that needs to get done. I'll give you a specific example. In the 1970s, when we created bank ATM machines, there was all sorts of hand waving going, oh, my God, millions of bank tellers. What will we do with them? Et cetera. What actually happened was the cost of running a branch dropped by 10 times. The banks created 10 times more branches, and the number of bank tellers has not changed at all. Same thing with truck drivers. As we automate truck drivers, go to any trucking company and they're like, we can't wait for autonomous trucks because we have a. We would hire a thousand truck drivers if we could find them right now. We have an underemployment problem today, not an unemployment problem. Can we say what happens to the talent, though? Well, as you, as you automate, Taryn Southern should be up here to answer this question. Where are you? Are you out there? Who, Taryn? Terrence. She said the most beautiful thing yesterday. She said, she described how this has affected her. She used to be 90% probably process, 10% creativity. Now it's 90% creativity, 10% process. So it's leveraging talent, not replacing talent. It's an unleashing the creativity of talent instead of bogging down in it. So, I mean, nobody here feels like we're putting ourselves out of business. We feel like we've got more things we want to do than ever. We'll just write 10 times more code, 100 times more code.

Don.

Yeah, guys, I'M trying to revive Europe by creating, well, 21,000 people. Who are those entrepreneurs that can be a unicorn? One man show. And I get asked all the time, okay, where do I start? Because so much stuff is happening and I was wondering, now that I have you on stage, what is the one thing of the last 12 months that you handed over to an AI or the one task that would say for anyone becoming this one person unicorn, where do you start? What's the first skill that they should acquire after they got their mindset right? Well, the first thing you need is an MTP or your massive transformative what fundamental problem do you want to solve? And then everything cascades from there. So if you go read the exo book that Peter and I wrote, there's a whole chapter on how you build one with steps in it. So it's pretty clear. And we now have a community of 35,000 people that are just building exos nonstop. That's what I meant. If they have the mindset right, so I assume they have the mtp, what's the first skill that they then acquire? So it's not about skills today, it's just about getting out there and doing right. So step one is your mtp. Let's say it's curing cancer. Step two is go find communities that are doing that or join communities or create communities that are interested in that. Step three, you create your founding team of one people. Three people, whatever the small number is. Step four, you find a breakthrough product or idea that will deliver at least 10x better than the marketplace in one specific domain. Around that. Yes, if you're 10% better, the market will ignore you. If you're 10 times better, you can't be ignored. And then you follow lean startup thinking, get to an MVP and continue cascading down the line. And we've watched this process be copied and used now for 10 years with staggering results. So just go do it. It's about execution, not skill acquisition.

Please.

I have a very simple question. How. Which page are we in? The copyright books papers? What do you think? This is exactly what happened. When Google was growing like crazy, it wasn't clear at all that scraping the Internet and indexing it was legal under copyright law. And Google grew through it and then said, hey, you know, just put a tag on your website if you don't want us to scrape it. But everybody didn't put the tag on because everybody wants to be searchable on Google. This is growing so quickly that the same thing will happen. People are going to use the AI as billions of dollars of revenue is going to flow, people like Reddit are saying, hey, you can't use our content without paying us a fee. That'll blow over in a minute. Because you know, at the end of the day there's so much capital flowing in, nobody's going to want to be left out of it. So it's literally not going to be an issue if you don't contribute your content. There's equal content out there anyway. So. So it's just, it's literally not going to be a problem. It is a threat to everyone who has copyright. But there's no stopping it at this point. Thanks. Where is the best way to find world class capital partners if you're an AI startup? Oh, it is so easy right now. If you go to any of the venture studio models, any of the demo days and work backward from who's attending the demo days, those are your targets. Or if you get a PitchBook account, I don't know if you use PitchBook. A little pricey shows you every deal that's happening in the country and you can work backward. If you're looking for that, that idea where three, four, five people are worth a billion, you can easily sort find it and look at what they did. And that answers the prior question about Europe as.