How AI Will Change Business Forever With Salim Ismail | EP #46 Moonshots and Mindsets

we're living in a world that has been pummeled by exponential Technologies the world has now turned into information for the first time we started hearing about artificial intelligence was at a conference in Dartmouth in 1956. the first article that came out saying that robots are going to take all the jobs in five years appeared in 1964. A.I is not going to take her job it's someone using AI that's going to take her job the AI plus a human being always turns out to be the best uh competitor it's a tsunami of change and you're either an EXO surfing on top of the tsunami or you're being crushed by it gets started as fast as you can because this is one of those where you cannot afford to be left behind on this paradigm welcome to moonshots and mindsets here with my dear friend Celine Ismail the CEO of open EXO and my co-author on a new book called exponential organizations 2.0 uh Celine the world is so different than it's ever been and for an entrepreneur especially an exponential entrepreneur um you're either building an exponential organization or You're Dead on Arrival I think it's that black and white you know it's going to be an EXO or nothing in this decade ahead we used to say the world changed radically 10 years ago but the world trained radically like four months ago and so everything is different from that and it's accelerating you know when I'm on stage and people say you know when is this going to slow down when is the world going to like you know where's the on off switch there is no on off switch there's no velocity meter it's accelerating and we can talk about why it's accelerating but in this session we're going to talk about one of the most important external attributes of being an exponential organization which is AI and algorithms but before we get there for those just hearing this for the first time uh Saleem what is an exponential organization uh and then first century organization focused and delivering minimum 10x better faster and cheaper than your more linear peers the 20th century was all about building scalable organizations focused on efficiency and predictability today you need to be agile flexible adaptable and fast and that's what an exos with a set of characteristics and aeon algorithms is one of those you know I like to say that we're living in a world that has been pummeled by exponential Technologies right I liken it to the asteroid that impacted the planet 65 million years ago and it changed the world so rapidly the environment so rapidly that the slow lumbering dinosaurs died and went extinct and the furry little mammals are very proud ancestors evolved to dominate and the asteroid that struck the world now over the last 20 30 years and accelerating is all these exponential Technologies computation sensors networks AI robotics 3D printing synthetic biology ARB or a blockchain all these technology are just like transforming you know it's a tsunami of change and you're either an EXO surfing on top of the tsunami or you're being crushed by it and I think anybody who's not been um you know asleep for the last uh six months knows that one of those tsunami causing uh attributes is AI and algorithms so let's jump into that uh it's a super exciting opportunity and I I've mentioned this in one of our previous podcasts but I saw a tweet from a friend of ours that said you know we're not far from the first three-person billion dollar company starting you know literally overnight and I think that's true yeah I think that's exactly right and it goes back to your six D's premise right where you're digitizing the world we the world is now turned into information our relationships are not digital our memories aren't in our heads and now we with all of that tsunami of data we actually need Ai and algorithms to help manage and massage it all in the business models that emerge for that are going to be really profound so if we look at a quick definition um Ai and algorithms are the use of artificial intelligence and algorithms to basically make sense of data sets and create value from those data sets and then eventually in an EXO create a business model around them Google is the quintessential example of this with the creation of AdSense and and uh and pagerank and pagerank um and the massive amount of value is Created from that is unbelievable and now we're seeing that pervasively being applied across the board the world runs on AI to day yeah no it does and just just to put AI in a frame I think that uh people can unders appreciate is why now what has changed because there's something that's actually changed in the last five years uh we've met certain thresholds that's transformed the world you know if you think about it AI is over as a concept is 60 plus years old the the first time we started hearing about artificial intelligence was at a conference in Dartmouth in 1956. and then people say well no it's the Deep learning models and deep learning Concepts that are new but you know that actually emerged in like 1960s mid 60s so why now why are we seeing this huge uh tsunami of change um where every trillion dollar company is betting their future on these generative AI models and it's four things um the first as you well know is computation right we're in this massive growth of computation that's doubling every 18 to 24 months Moore's Law what Ray Kurzweil calls the law of accelerating returns doubling power and power and power and finally we got enough computational power on the cloud um we have a new set of massive Nvidia computational chips that are are being deployed and that's allowing us to run these deep learning models that were never possible at scale before yeah we've you know in the past we were focused on narrow AI right fuzzy logic in your digital camera or anti-lock brake systems or credit card fraud detection very Niche applications then we went to deep learning where you you basically gave it and it learned as it went along and that got us to a certain point I remember chatting with Jeffrey Hinton a few years ago I think it was like 2017 and he was speaking at a conference and I said you know where does deep learning go and he said we've hit the end of the life cycle we need the next breakthrough to happen so that AI can progress to the next level I don't know what that is and literally at the same time the Transformer paper was being published and that turns out to be the big thing that all these llms are based on the second major thing that's occurred is that we have a massive amount of data so global data has been doubling roughly every two years we're about to hit 175 Zeta bytes I love that which is 175 billion million megabytes of data and this data is now labeled uh I it was an article recently that said we're going to create a new term called a Yoda byte which is coming online I love that you know the stat that always blows my mind is that because the one that goes in the last you know six months we created more data than the entire history of humanity did until that point yeah and then we just did in the last six months and then we'll do it again in the next three months and then you're like okay I just can't I I just I would suggest that we can't comprehend or process that a quick break from our episode on June the 6th Saleem and I are going to be running a free three-hour workshop on how to actually build and design an exponential organization would love to have you join us if you join us on June the 6th first of all you'll get free access to the book exponential organizations 2.0 access to an AI that we've built that allows you to query the book and helps you design your exponential organization it's June the 6th it's three hours it's free we've never done this before click on the link below diamandis.com backslash EXO and join us all right now back to the episode so computation massive amount of data labeled data which is really the food stock for the large language models you know open AI stability Bard all of these the third thing that's happening that is really changing uh this universe is the cost to train AI systems has gone down by 99.5 percent in the last five years so the efficiency of the algorithms and and this is something that people don't realize this is what's speeding up the world ladies and gentlemen it's the fact that you know the tech is getting so much better that every dollar goes so much further so you know in genome sequencing it was it cost Craig Venter 100 million dollars to sequence one genome now you know it's a hundred bucks so 100 million dollars you know we'll we'll sequence I mean 100 million dollars will sequence a million genomes not one genome in the same way it used to be you know uh call it a thousand bucks uh to sequence you know to actually train AI model and now it's like 50 cents so or five bucks it's transformative um how fast it's going and then the third you know my favorite phrase and half half people listen you're not going to know this but you know no bucks no Buck Rogers right uh is the amount of massive capital I have a reference number um that in 2021 during the pandemic 160 billion dollars of global corporate investment went into AI alone crazy and then Facebook pretty much doubled it on its own just in the trying to go after their different angles I think the you add this together and this becomes one of the most important characteristics of an exponential organization because as you build out you're looking at what data sources what can I turn into information and then you need algorithms to make sense of it all and the comment that you made earlier about startups being created out of this are going to be profound the two domains that blow my mind just specifically to llms are are doctors and lawyers right and and I it you I can like literally see the point where you literally don't need a doctor and you don't need a lawyer in a human form of any kind because the law you can just tell chat to build a contract and write a contract for you well it can right now really well right and in fact a lot of people are using um chat GPT as their physician interesting reference point right so chat GPT goes live in November of 2020 two in January two months later it passes the U.S medical licensing exam USMLE which is insane you normally need you know four years of medical school two years of residency or internship to pass that and it does that and here's a good example of how it's going to massively disrupt I think eventually two things are going to happen your AI will be your diagnostician zero question about that and before then it's going to become malpractice to diagnose a patient without AI as your co-pilot in the loop right here's a data point do you have any idea how many medical journals medical journal articles are published every day I may I may have shared this before I don't know seven thousand seven thousand seven thousand per day so ask yourself how many of those journals has my doctor read this morning well uh Daniel Kraft the one he referenced to me was that there's 2 500 cancer research papers published today right so if you're an oncology just there's no way you can keep track of all that you need an AI to Just Surf that tsunami of data and make sense of it all yeah we have uh at Fountain life where I'm I'm proud to be executive chairman you know we in an upload we upload our members they go through and upload every year and it's 150 gigabytes of data it's their full genome full body MRI brain brain masculature coronary CT you know 80 blood biomarkers and they're changing all the time and the re the database that we look into of knowledge is changing all the time and you know it's kind of pathetic to think about a poor human trying to make heads or tails of that information cannot um so it's changing fast you know let's look at our brain right it's not had an upgrade in 50 000 years it's stuck inside this it's a liter and a half volume stuck inside here and it's trapped um it has evolutionary incremental gains and we are stuck with all these cognitive biases like some cost bias and framing bias and and all these other biases that we can't get around very easily these cognitive biases yeah so I I that's it let's dive into that one second and we'll come back to the more uh you know basic uses of AI and algorithms I think one of the things we're all eventually going to have our own version of Jarvis I don't think it's very far away right we have um uh I wouldn't say her name it's spelled a-l-e-x uh a sitting across the room here I should wake up um we have that and Siri and uh you know Google's variation and and I don't know if Cortana is still a thing or not but uh they're early versions uh and we're going to get to a point where uh we all have an AI that is on our bodies you know literally in our bodies and we give permission to read everything we write listen to our conversations read our emails our text messages everything because then that AI is going to be able to be there to facilitate anything we want and one of the things I wanted to facilitate is hey tell me when I have a cognitive bias because cognitive biases are unfortunately we cannot process all the information that comes into our minds we have a very little flow and so over over evolutionary time period our brains evolve these cognitive biases they were neural hacks to help you reach conclusions quicker like a similarity or a familiarity bias someone who looks like you you trust more or recency bias you give higher value to more recent information or a negativity bias right are damned amygdalas that are you know destroying the planet and the crisis news network is taking advantage of them which you give far more value to negative news than positive news what was the stat you and Stephen uncovered in abundance is it 10x yeah so yeah this is something that Stephen Cutler and I found in looking at the news media and you can do the experiment yourself pick up a newspaper I don't read them anymore but if I'm in a conference someplace I'll play the game and count the negative stories to positive stories it's ten to one right and on on Cable News Network whatever the case might be you're getting you know 95 negative stories every murder brought to you over and over again in living colors yeah yeah you know this is such such an important point this is one of the most important pieces out of abundance that I can ever remember reading was this identification of this because we evolved that amygdala when we were running around on the plains of Africa if you heard a noise in the bushes you ran because bad news could kill you right if I missed some good news I might miss some fruit that I could eat but if I missed a piece of bad news that died so if you were happy we're way more optimized for listening to bad news than good news because it's a survival Factor um and when I noticed one thing that I noticed when we came when we were teaching courses at Singularity University when you showed somebody something new they immediately because of the unknown factor they related to it as Danger right so the first when you saw somebody the autonomous car the first reaction is oh my God stop the car because that car might kill somebody uh and then we start with this negative perception of the technology and over a long period of time we kind of evolve a better version of it etc etc we're not evidentially based at all in terms of how we cognate or analyze the world it's a problem it's screwing with the world right our politics software yeah our core software is fear and scarcity versus abundance and optimism right and fear and scarcity puts you back on your heels in a protective World um versus you know abundance and optimism against a mindset shift where you're taking advantage and you're jumping on how can I use that where can I go with it how can I make a better product or service for people yeah I mean just to wrap up on cognitive biases we have so many cognitive biases as as humans I think there's a whole list on Wikipedia I wrote about it we write about it in the book exo2 um and at the end of the day uh an AI will help you if you want to navigate those cognitive biases another going back to the fundamentals of why Ai and algorithms are so critical we're living in a world of an explosion of data we're seeing the amount of data double uh every every two years and an explosion in sensors we're hinting towards a trillion sensor economy I call it right where autonomous cars with lidar and radar and cameras and drones flying and augmented reality glasses and everything is just generating massive amount of data you're heading towards a world where you can know anything you want anytime you want anywhere you want the data is there but no way to access it without Ai and algorithms it becomes a critical filtering point I mean every EXO will have to be using Ai and what's magical I think about the llms and the degenerative AI That's emerged is we can use it everywhere right one of our team members said hey optimize my email subject lines on our newsletter to increase our open rates and our open rates went up 25 just from that right like him so we'll start using it everywhere across every business function accounting fulfillment sales marketing the whole lot so you know when you talk about the importance of uh of AI let me just read a couple of quotes here um Sundar pichai the CEO of alphabet has a quote that I love he goes artificial intelligence could have more profound implications for Humanity than electricity or fire I love that quote and Elon has one which is a little more Punchy he goes companies have to race to build AI or they'll be made uncompetitive essentially if your competitor is racing to build AI they will crush you um you know I put it differently and and I said but still you know really black and white which is they're going to be two kinds of companies at the end of this decade those that are fully utilizing Ai and those are out of business and I think it's that black and white yeah I really truly do it completely is can I can I show you an image yeah please okay check this out so we incorporated an AI generative AI chatbot into the book where we you can ask it a question and it will literally look up the entire Corpus of the book uh pose it with your questing and then come back with an answer so I've asked it the question here how do I turn in Brazilian Shipping Company into an EXO and here's the answer right it literally tells you uh identify a transformative of purpose there's your MTP right it has to align the purpose with the transformational shift in company leverage external resources like you can benefit from collaborating with other organizations in a bunch of ways consider an autonomous uh unit you create a separate autonomous unit to develop new disruptive business models and then build a culture of experimentation right and this is pretty damn good that's like a 50k worth of Consulting right there right my entire community of 24 000 Consultants EXO people are going hey wait a minute what did you what did you just do I I think this is so funny digitize them well as you often say right the crowd is a proxy for AI yeah yeah just like an Uber driver is a proxy for an autonomous car yeah so for sure time we're going to automate more and more of these tasks I think there's this unbelievable thing that's happened that nobody expected that we thought we'd automate manual tasks washing dishes and we just couldn't figure out how to do that and what we've automated is all the white color tests so let me show uh kind of one image here as well um and it's uh you know something that we've talked about a lot uh here we go and when will AI reach and or exceed human level AI so Ray Kurzweil has for the last you know 20 years consistently predicted 20 829 I mean the guy is uh is like committed to that date and uh everybody in the AI industry was laughing at him uh and but eventually and it's been polled by all the AI experts it's gone like from 100 years ago to 50 years ago to you know 50 years now they all come closer to rape they all come closer and closer and then recently you know Elon put this one out he said AI will be vastly smarter than any human and would overtake Us by 2025. so I mean pretty uh extraordinary now he since tweeted that you know he said I think Rey is right about the timing so maybe maybe it's somewhere between 25 and 29 but for those listening I mean here's the question there's no there's no question that we're heading towards and put aside whether this is Agi or conscious it's a matter of will this be able to be as good or better than humans in your in your company it's coming and so how are you going to start thinking about this if you're the owner of a business if you're an investor if you're an entrepreneur running a company you know one of the things I talk about uh critical uh to this is every company needs to create or identify hire bring in what I call a chief AI officer so that's one one tidbit I want to offer out what is a chief AI officer it is not someone coding your own large language model it is not someone who is uh who is really coding it's more someone who understands what's going on they understand it at a core um and they know the players and they are helping you as the entrepreneur the CEO the business owner the investor understand you know the platforms and what to utilize because it's moving so fast that you need that person inside your organization so one piece of advice get a chief AI officer in the book we write that by the time you read this chapter it'll be out of date such a pain in the ass though right in front of these days because we had to rewrite big chunks of the book after Chachi PT came out it's like you're shaking her fist at the gods around this I want to go on a little bit of rant okay you know the 2029 number which is called the technological singularity option which is well Ray talks to us about the singularity is 2045 yeah versus 2029. either way I hate the discussion explain why one we don't know what intelligence is right now we have about a dozen facets of intelligence and we measure two pieces of it which is the speed of thought processing and the ability to match Concepts across Frameworks that's how we currently think but we have emotional intelligence we have spatial intelligence we have the Eastern concept of presence or awareness we don't touch on any of that so what do we mean by intelligence as one big hairy problem of a question and the second which touches on the Chachi PT stuff is what would you constitute overtaking the minute I can prescriptively describe a task in AI is going to do much better than me anyway so I find it it's a great kind of framing discussion but I don't find it that useful I think as you said before it's how will you use AI just like in chess we all use AI now in chess to help us man navigate and do the Box standard openings and then it comes down to the chest the AI plus a human being that always turns out to be the best uh competitor I think that's where the world will end up I mean there's a lot of dystopian conversation going on right now around AI let's dive into that because I really want to take it head on so there are two conversations one is Will AI take your job the second conversation is Will AI destroy Humanity are just igniting our amygdalas it's like boom boom boom right and and I don't think the new the global news has really taken on yet but they'll have a Heyday we're going to see a whether you tackle the Consciousness one and I'll tackle the jobs one all right well listen first of all you know I was reading a book called a thousand brains by Jeff Hawkins and it it talks about how the brain works and this idea of these cortical columns and three-dimensional spacing as the means by which and I think it's clear to a lot of people who've studied this that currently AI as it's being built um is orders of magnitude you know it could be you know Millions if not billions of times less complicated uh which it has a long way to go to get to the level of complexity of the human brain and uh and so I'm not worried about AI becoming conscious anytime soon the place I get concerned is nefarious actors you know terrorists uh uh individuals who are unfortunately uh looking to do more harm than good using AI to do that and it's going to be as always you know a virus anti-virus competition um in that in that world uh and so that's the that's my near-term concern and how do we do that right so um we've seen Intel for example come up with a set of algorithms to determine deep fakes at 99.5 accuracy recently so you know we're going to have problems and we're going to solve them and I could say the world's biggest problem is the world's biggest business opportunities the presidential candidate in the turkey presidential election just resigned because of a sex porn tape that surface that he claims is a deep fake I know it's just it's just crazy how pervasive wait till the US elections in 2024. it's gonna be I mean you know and we have we have all of these these technologies that are being able to clone your voice and you're going to get a a call from your mom asking you you know especially please son go vote for yeah you know for this candidate it's crazy so I have a different take on the Consciousness thing you know we we have the same problem we have no idea what Consciousness is right and and um we don't know how to define it we don't know how to test it and when I think about Ai and I've heard you make the spring you look at pagerank it's evolving its own intelligence scanning billions of web pages at the same time and it's a completely complementary type of intelligence to human intelligence it's not replicative right the the Hollywood side will always portrayed as a dystopian Matrix Terminator uh Skynet uh thing if we're lucky the robot or it's come and treat us like pets and if we're unlucky we're food right like that's pretty much that range that it occurs but in reality we're adding capability to human uh intelligence not subtracting or replicating in any way that I've seen I want to go on a rant about the jobs thing right because we we we've worried so we did some research on this the first article that came out saying that robots are going to take all the jobs in five years appeared in 1964. um and we have the clipping uh the thing and every five years you see that you see the same kind of basic article so can we can we go back to that 1964 I don't think it was robots I think it was um automation was going to steal our jobs yeah but this is a key point now let's look at some data if you look at say Germany or Sweden or Korea the most automated robotics enabled manufacturing countries in the world employment has not dropped at all in fact it's increased they have the lowest unemployment because when you automate the robot work there's so much more work to be done in problem solving increase deficiency better design Etc my favorite example at a macro level is in the 70s when we created ATM Bank machines uh there was all this hand ringing going what will we do with millions of bank tellers that will be out of a job and and the huge consternation should we do this big ethical questions and should we not create the machines or not and what actually happened was the cost of running a branch dropped by 10x and the branches that Banks created 10 times more branches and the number of bank tellers hasn't changed at all so it turns out when we automate we increase capacity we don't drop employment and this is we've seen this now time and time and time again in every domain that we've been able to study this so the likelihood is that um if you can do 10 times more as a programmer it doesn't mean you need 10x less programmers we just program 10 times more well it's important listen um to folks hearing this and disagreeing uh we're going back to our cognitive biases we have this negativity bias and we just will tend to um to focus on the dystopian future because that's what we evolved to focus on and you have to ask yourself the question the jobs that are being digitized and dematerialized and and automated um at the end of the day a lot of those jobs are going to be dull dangerous and dirty and a lot of people you know we're gonna have robots that are going to clean uh you know homes or hotels and that's great I don't think that a lot of the people cleaning doing the cleaning services that was their dream as a kid to grow up and do that so how do we allow automation Ai and Robotics and they're both coming together and there's going to be AI driven robots and we see a whole generation of humanoid robots coming different conversation um how do we allow the jobs that are not inspiring to be done by them and how do we allow individuals to gain access to the amazing Technologies and and actually dream a bigger dream um I think you know how do you feel about Ubi are we going to have Universal basic income slim I think we are I'm a huge proponent of it you know I remember about uh several years ago we ran a workshop at Singularity with Tony Robbins there and others and we kind of looked deep into Ubi and we we looked at 14 major experiments and where it was implemented fully the results were outstanding um the challenge is when you use Ubi you can actually reduce government the need for government by a huge factor and governments don't like making themselves redundant and so you've got a cognitive bias in government wanting to wanting to look at this I'd like to get back to the EXO and AI conversation though right so if you go back to your the comment that we started where you can create a billion dollar startup with three people this is absolutely possible right so the CEO would be involved in vision and strategy and Lead public-facing marketing um you have a product lead that will work with AI agents to kind of refine the product work with a community to develop and Define to drop and an operations leader who will basically manage those functions and track the AI Bots as they do for their various things that's pretty much all you need with a whole set of AI Bots that will do pretty much everything else and I think this is going to be prototypical of the future uh one thing we write about in the book uh is that there's probably 10 000 startups that are being built on that premise right now right so many of them will fail but it doesn't take that many to succeed to completely disrupt the existing industries that we live in yeah I think that's a really important point you know for if you're a large corporation um trying to bring AI in and uh seeing how hard it is and saying well I'm not going to get disrupted by this the challenge is uh the disrupter is not your normal competition it isn't the large corporation down the street or the large corporation on the side of the world it's uh literally two guys or gals in the garage using these generative AI tools and trying a crazy idea that you would never experiment with because it was too dangerous right um and and coming up with something it's why Google purchased YouTube when they had Google videos going right it's it's why Facebook you know and even look at this Microsoft buys effectively open AI right Microsoft didn't develop uh all of these generative AI tools the team at openai did and with 130 people so small teams can do amazing things so let me let me do a live thought experiment sure okay we have a friend will Henshaw who runs a startup called focus at will which is streaming music to put your brain in a focus now it's amazing right so now it's like a Pandora type service you sign into it I wrote the whole first edition of the book listening to this music and puts your brain in an alpha Focus State now I can imagine if you rebuilt that company with AI you would have the AI compose chunks of music okay play it out randomly using a Mechanical Turk type thing to a million people and said okay watch where their eyes go or whatever feedback loop to see if their brains go into a passive State and boom if that operates that way then that piece of music generates an active State and now you do product development for free rapid experimentation right you can run a collection then you have a a system that's out there optimizing for sales and running the funnel saying how many people switch from free to freemium to what and what prompts can you bring to bring them back in and encourage them to sign up uh longer terms you could vary the terms by what some people might like or not like and the all the accounting and collection side is handled already so you can essentially run that entire company pretty much autonomously going forward and I think that's what's going to happen more and more going forward it's just going to be thousands and thousands and thousands of companies being built on a totally new premise and it's going to be the 20 year olds that do it because they have no biases from before I totally agree and the marginal cost of starting a business is approaching zero you know uh we had a when you and I were running our workshops at singular University a decade ago and then five years ago we were showing these charts that said you know a decade ago it cost this much money to start a company several million dollars yeah you have to buy the servers you had to buy the employees you had to buy the software you had to buy the bandwidth to get the you know the stuff out there and then it was going from like five million dollars to five hundred thousand to fifty thousand to five thousand to five hundred and now I mean the marginal cost using generative AI I have a a summer intern um out of uh Cornell's computer science uh team and it's like he's getting his master's degree and I said are you working on any startup schools yeah I've got three generative AI startups I'm working on right now like oh my God it's like not one you know three and and multiply that um and you know I run a venture fund bold capital and we're just seeing a massive influx of generative AI companies now I don't know I could imagine there's a million startups going on right now and and 99.99 could fail but you know if you have a hundred breakthrough companies that come out of no place the question is how do you how do you uh tell the difference between the you know the Cambrian garbage and the Cambrian explosion gold well the the beauty of it is that you know I used to think of startups as turtlenecks right a turtle will lay 100 eggs and you've got 100 little turtles running towards the beach and the birds are eating them the animals are eating them then they get to the water and fire the fish are eating them and the surface pounding on them and only five of the original hundred turtles will actually get to the bottom right and the problem if you're an investor is which five because there's so many chaotic conditions along the way but now forget 100 Turtles you can launch a million Turtles right and some of them are going to go nuts and I think the creative application of Chachi PT and other tools and other in various domains creative writing etc etc is totally gonna totally gonna take over the world can I show you my favorite chat GPT prompt yeah please okay so what I did was I I said uh rewrite the Bible Genesis chapter as a rap song let's flip it back to the Genesis from the world were Dark Void in the Deep Abyss God stepped up to the plate no time to reminisce spoke the words let there be light yeah he insisted in the beginning yo the Earth was formless but God had a plan his vision enormous divided the light from the dark so Flawless called light day The Dark Knight he was dauntless and it just goes out like that it's amazing it's absolutely amazing that you can do this right in this Shakespearean and it goes on and on and on it just goes on and on and on uh I hope you I hope you go on camera and sing this one of our sons do that they're more they're more honestly it's like you know do you start to wonder if every rap song in every book and every blog is written by generative yeah it's it's going to be very shortly and this brings up some really really big questions right that are I think outside the scope of this discussion and two how do we deal with the infinite creativity we now have an abundance of creative activity right it used to be scarce and now we have abundance hey everybody this is Peter a quick break from the episode you know I'm a firm believer that science and technology and how entrepreneurs can change the world is the only real news out there worth consuming I don't watch the crisis News Network I call CNN or Fox and hear every devastating piece of news on the planet I spend my time training my neural net the way I see the World by looking at the incredible breakthroughs in science and technology how entrepreneurs are solving the world's Grand challenges what the breakthroughs are in longevity how exponential Technologies are Transforming Our World so twice a week I put out a Blog one blog is looking at the future of longevity age reversal biotech increasing your health span the other blog looks at exponential Technologies AI 3D printing synthetic biology AR VR blockchain these Technologies are transforming what you as an entrepreneur can do if this is the kind of muse you want to learn about and shape your neural Nets with go to demandus.com backslash blog and learn more now back to the episode yeah one of my favorite examples of someone using generative AI in a really blow my mind mindset was this individual is a woman on one of my implementation workshops for a 360 uh said I'm using general I was saying going around the room saying what are using generative AI for and this person said I'm using generative AI to make patents understandable because if you've ever read a patent they're in this obscure language and so you put in a patent up amazing huh amazing you put the patent number just the patent number and say what does this patent mean in plain English in a hundred words right and you get an answer now the thing that she did which was amazing is get this she said okay this is my company this is what we do and here are two patents how would we use these two patterns together to transform our company holy amazing right and she got like some you know blow your mind ideas and it's like it's what AI is doing so well is it's interpolating and extrapolating yeah I mean it's still blowing your mind right it's just yeah my mind's blown because now I'm thinking wow you take a company like IBM that has a huge patent portfolio yeah and you say the IBM let's build an incubator on top of that patent portfolio with General you won't do it yourselves because you're at IBM but let's help you build that and let's see where it goes that's incredible that's amazing let's put potential yeah so you know there's there's all sorts of aspects of this that go forward I think it's absolutely critical if you're building a startup of any kind or running a company to take uh to get everybody access to generative AI first of all right and the second thing to do is to start playing with different models asking it exactly that here's my P what can I do with it can I can I make a quick a quick add on there go if you're in a meeting if you're in uh uh your board meeting if you're in a management meeting have have open AI or Bard or whatever you want to use open on the screen alongside and be asking it for its ideas in every conversation you're having and I guarantee you um it will transform the speed of your conversations it becomes a thought partner uh in in everything you're doing we should have had it as part of this podcast screen how could we make this uh discussion a little richer well actually I mean all the questions I'm asking are just coming from you know from chat GPT not me yeah but in all honesty uh it's it's incredibly uh it is your partner you know there's a great meme going on right now and it's uh in the loss of jobs you know it's AI is not going to take her job it's someone using AI that's going to take her job and I agree with that I think everybody is going to need to have their co-pilot I was having a dinner with Reed Hoffman um I don't know a couple months ago and we're talking about co-pilots the idea that every profession is going to have an AI co-pilot whether you're a lawyer a doctor or an artist a writer you're going to have uh your version of Jarvis that is there with you know you and is making you just not even 10 times more productive 100 times more productive it's amazing um you know I don't want to drag this on too long but I want to come back to uh Ai and algorithms it's it's one of your external attributes of an exponential organization and let's let's sort of uh bring it back uh as advice to the entrepreneur once again um I'll I'll start with one and then hand over to you sure right um here's a big idea there is a billion dollar question that if you knew the answer to that billion dollar question it would transform your company and I think if you know what you're looking for if you know it's like I'm looking for here's an example I'm looking for the lowest price uh real estate in the most expensive neighborhood where the house is on sale because the person passed away and has no children it's like you know if if that is what you want to know you can find that data the data is out there and an AI can scrape it and go and gather it and give you those Target homes to go purchase um so what is that billion dollar question because the we're heading towards a world where you can know anything you want anytime you want anywhere you want where there's a massive amount of data and AI will parse that for you but you have to be clear like I you know talk about what I want for my kids I want them to have a purpose I also want them to learn how to ask great questions absolutely so I I take it a step further and I would say take your MTP um go to a chat tpd generative AI stability whatever equivalent and say what intellectual property or techniques or Technologies can I build to build a billion dollar company implementing my MTP and start that prompt because if you start with the MTP you've got the problem space nicely laid out and let it find the spaces the white spaces in that domain that need to be solved um you know your tool for MTP plus Moon shots now you add AI to it and say okay how did I accomplish this moonshot yeah and in fact we we built that as a peterbot version um a friend of mine my chief AI officer which is by the way the third piece of advice bring in a chief AI officer if that's you as an entrepreneur fantastic if you're um if you if that's not you if that's not your area of expertise it doesn't need to be bring in someone who is your strategic thinker in this Arena so Steve Brown is my strategic thinker in this Arena and he built a peterbot and so we did this experiment where um we started with an MTP on and go you can go to dmandis.com backslash MTP it will help you design your MTP and then with MTP you can go to uh Slash moonshot and develop your moonshot and then said uh break this moonshot down into 10 steps um that I can execute it and um and give me ideas on what to do uh and then he said write me a proposal to The Gates Foundation to implement the first step of this and it did and it wrote this incredible proposal and letter to the Gates Foundation uh and and so is it about the speed of action right uh faster never staring at a black screen if you can develop your MTP and then hand run a process like that to make it to action it you now have moved nine steps forward in building out your Venture your non-profit your business whatever and you're well on your way right and so I think the potential for this is incredible if you're an existing company Ai and algorithms becomes absolutely mandatory to start thinking about implementing it get a chief AI officer and you have to do that now do not wait even a week before you start applying this the other piece of advice I would give is what is the unique data that you have or that you can collect right we're going to see uh large language models generative ai ai in general sort of starting to demonetize businesses and it was an article came out recently that said it was a leaked memo out of Google I'd said there's no moat no protective uh surrounding around gender of AI models because of the rapid rise of open AI systems like stability Ai and others um but what makes you unique is the data you own and so as a company going out and creating a unique data set or identifying your unique data set and then applying AI to that unique data set gives you value yeah in fact we now know of companies that have taken figure out how to collateralize all their data and AI into a separate entity and they're able to up their market cap by like four or five x just by taking the data and collateralizing into a separate structure so it's amazing what's possible today yeah I was in I was at a event that Deloitte was running for chief financial officers like three years ago and like 500 of them uh you know anyway I don't know there's a speaking gig for me and I asked the question to me how many of you have put data on your balance sheet as an asset and none of them raised their hands and I'm like that's insane this is a very new thing we've actually partnered with somebody that knows how to do this so it's huge it's gonna kind of I think that'll be the predominant that whole idea of data is the new oil suddenly becomes of two fruition but I think the point you made earlier is needs to be re-emphasized if you have access to a rich scheme of data right there's some incredible businesses you could build on top of that or approach a company that has existing data a nursing home Zillow which has unbelievable data on real estate and start building businesses on top of that it's incredible what's going to be possible any last advice for people uh thinking about this external attribute for them yeah I think it's just get started as fast as you can because this is one of those where you cannot afford to be left behind on this Paradigm you have to learn it has to become a key uh core competency inside your organization like yesterday yeah two kinds of companies by the end of this decade there you go yeah all right all right buddy see you soon enough quick conversation yeah take care [Music]

Channel: Peter H. Diamandis

Views: 111,867

Keywords: peter diamandis, longevity, xprize, abundance

Id: h3U5TX19tXA

Length: 48min 56sec (2936 seconds)

Published: Wed May 31 2023