Reacting to 25 year old college dropout self-made billionaire - Reaction Time 023
Reacting to 25 year old college dropout self-made billionaire – Reaction Time 023
Click through to the good bits.
06:03 What is Scale AI.
12:23 Leaving high school.
18:15 AI in healthcare.
19:40 AI in geopolitics.
20:40 Future of AI.
24:16 Examples of AI gone wrong.
Martin Henley: [00:00:13] Hello there. My name is Martin Henley. This is the Effective Marketing content extravaganza. And if you’re new here, you won’t yet know that I’m on a mission to give you everything you need to be more successful in your business. Providing of course, what you need to be more successful in your business is to know more about and be motivated to implement more efficiently, more effectively, and more enthusiastically. Sales and marketing in your business, which is of course what you need. If you want to be more successful, you need more customers and more importantly, you need more customers profitably. That will give you the happier business, the happier staff, the nicer car, the nicer house, the nicer holidays, the nicer retirement fund, all of the good things that you deserve. So what goes on here is on a Monday, I’m giving you everything I know about sales and marketing as part of the What The series, on a Tuesday, I bring in anyone I can find with experience to share with you if you are looking to be more successful in your business, that’s Talk Marketing on a Tuesday. On a Wednesday, we look at the Marketing News and speculate wildly about what that might mean for you in your marketing life, in your business. Or we do a review that alternates on a Thursday. Something new is coming, thinking out loud, on a Thursday, and on a Friday we react to the very best or the very worst of marketing content on the Internet.
Martin Henley: [00:01:34] If that sounds interesting or useful, please tell me it does. We’re only here to be interesting or useful. Please take a second to like share, subscribe and comment because that will give us the motivation to continue on this epic, epic journey. So today is a Friday, so we are reacting to the very best or the very worst of marketing content on the internet. I don’t know because there is an element of jeopardy here. So what happens is Clay has put together a list, we call this the Claylist. So there are six pieces of content that we could be reacting to today. We don’t know which one it is. We need to roll the dice to see. So I will hum for you the Jeopardy theme to de de de de de de de de de de de de de. Okay, so the number is five. So we go to video number five. We copy the URL from video number five, we copy that, we take it to Google, we put it into Google, and now we all get to learn excitingly what it is that we are looking at today. So what we are looking at today is let me pause that for a second. That’s probably too big. Just make it look more like that.
Martin Henley: [00:02:53] Okay. There’s an advert from Wix. I’m not endorsing Wix. I will be renewing my debit card information for Google today for YouTube. So what we have here is not really going to the right shape, is it? So what we have here is, okay, so maybe that’s there. Okay, So this is the new youngest, self-made millionaire. Maybe I can come over here and zoom out ever so slightly and then I can come over here. I can do that here as well. And we can come up. Okay, good. So what we have here is the new youngest self-made millionaire in the world, a 25-year-old college dropout. And this is coming to us from Forbes. So shall we? That’s a little bit small for me. Can I make that bigger? No, I can’t make it bigger if I go. Plus, that really goes wrong. Okay, let’s not be too fussy. It looks alright on your screen. I’ll watch it on your screen with you. Okay, good. So the youngest self-made billionaire in the world, a 25 year old college dropout. Forbes Oh, is this going to be this this Bitcoin thing that happened? Right? So this video has had 2.44 million views. The channel has 166 million views. It is coming to us from Forbes. Let’s have a look at the youngest self-made billionaire in the world, a 25 year old college dropout.
Video: [00:04:31] Hi. Drop shippers. It’s time to focus on what you do best.
Martin Henley: [00:04:34] I will skip the ads.
Video: [00:04:35] So go to Wix dot com.
Martin Henley: [00:04:38] I don’t necessarily endorse it.
Alexandr Wang: [00:04:39] In math and science and physics and these fields. There’s always a right answer. You’re either you’re right or you’re wrong. And I actually think that teaches you some of the wrong lessons. I remember really vividly some of my early violin lessons where you could get all the notes right, but that actually isn’t what mattered. What mattered is that you could weave through the notes, the emotion and the story that the original composer is trying to convey. And I think that was, it was really powerful lesson because I think one thing that many of us learn over time is that a lot of times it’s not about.
Martin Henley: [00:05:14] AReally cool. I don’t know who this. I hope it’s not. This guy’s just screwed up bitcoin, But really interesting idea because yeah, you can get all the notes, right? But if you don’t do it with energy and enthusiasm, then it doesn’t really work. And if you don’t really convey the story, if you’re not really invested, then it doesn’t really work. Okay, cool. I’m enjoying this so far.
Alexandr Wang: [00:05:30] Something being clinically correct or clinically right or exactly right. It’s about how they kind of make people feel. And I think that that definitely is true in technology and it’s definitely true and everything that we try to build. My name is Alexandr Wang. I’m the CEO and founder of Scale AI.
Martin Henley: [00:05:47] All right. I’m just relieved It’s not this idiot that was off his face on drugs and has just cost people hundreds of millions of dollars with this failed Bitcoin thing. I’ve never heard of this guy. So it’s better data, scalable AI. I’ve got issues around AI. Let’s see what Alexandr Wang has to tell us.
Alexandr Wang: [00:06:03] Scale AI is the data infrastructure for AI to power the most ambitious projects in the world. Every organisation wants to implement AI, but oftentimes the biggest bottleneck in their way is being able to create really high quality data and data sets to power that AI at scale. We sort of view data as the core problem of building great AI, whereas a lot of other companies view it as an afterthought. And that really prevents AI from having sort of the magnitude of outcomes that it’s able to have.
Martin Henley: [00:06:30] Okay, good. I think every company does want to I mean, where we are in it’s the first week of January 2023, AI has just gone insane in the last three months. The first thing I saw was like a drawing thing and art thing. And then we’ve had chatGPT and now there’s something else happening. So in the last three months, just like a light, AI has landed in all of our lives doing really interesting, really seemingly clever things, writing copy, creating images, fixing photographs, you know, really interesting things. And every company in the world, it seems, does want to be involved in AI. I’m worried about it. I really am worried about it because I just yeah, let’s see what he’s doing. Data driven, of course. I talk in my courses about data driven businesses. I talk in my courses about customer centric businesses. So the alternative to that, if you’re not focused on the customer and you’re not focused on the data or you’re not driven by the data, then the alternative that is an ego driven business, in which case that’s where businesses get really ugly, you know, so and don’t do very well or certainly don’t do very well for their customers. Okay, good. Let’s see what Alexander Wang has to say.
Alexandr Wang: [00:07:44] We’ve raised over $600 million to date, and we work with everywhere from the largest automakers in the world, like Toyota and General Motors to the United States Department of Defense, to some of the largest enterprises in the world, like Microsoft Square and PayPal and some of the leading AI research organizations like Openai. When you learn how to program for the first time, it’s it’s kind of shocking, but you actually are generally sort of telling the computer to do very simple things. The art of programming traditionally is the art of sort of giving computers very black and white instructions, very simple instructions that anybody could follow. And one of the the beauties of AI is that you actually have the ability to program computers with judgment and with reasoning and with sort of nuanced understanding of the world. And so you can have an AI system, look at an image and tell you what’s in the image, or listen to an audio snippet and understand what’s being said. And it’s sort of this incredible enabler for what computers can do or the power of computing. And in general, I think we’ve already seen sort of over the past many decades what the power of computers and computing and mobile phones and all that stuff has been on humanity. And I think AI and machine learning has a huge opportunity to do the same. Both my parents.
Martin Henley: [00:09:02] I don’t this is what concerns me. This is 100%. What concerns me is that computers, I think of artificial intelligence, like I think of artificial grass. You know, if you play on an artificial football pitch, basically it’s not grass. Basically, if you fall over on a grass pitch, you can slide if it’s a little bit wet and you’ll get muddy and it will be fun. And if you fall over, if you go into a sliding tackle on an artificial pitch, it’s going to hurt. So for me, artificial intelligence means not real intelligence. And what I think is what computers are good at, and I am surprised at how good they are at doing some things that I wouldn’t have expected they would be able to do. But what they’re very good at is managing data and databases and doing. Calculations. And what I think we’ve seen is that they are so good at that, that they are able to produce art, they are able to tell us what’s in a picture. They are able to convert text in a picture to text. They are able to produce copy so that what they’re doing always is they’re manipulating the data. So they’re saying, okay, this conversation has looked like or this sentence has looked like this so many X millions of times on the computer, on the Internet. And so it will work in this context. I don’t know, like the R astounded me chat, it has astounded me.
Martin Henley: [00:10:28] What computers don’t have is experience, and what they don’t have is emotion. And what they don’t have is empathy. And what they don’t have is hopes and fears and all of these things. And it seems to me that intelligence is looking at data, understanding the world interpretation. So interpretation of data, of what is what computers are good at, So intelligence is about of interpreting the world, but it’s interpreting, interpreting it from a perspective. That’s what intelligence is. So artificial intelligence can’t be that. I’m not telling you I am anything other than astounded with what’s turned up on all of our lives in the last three or four months, literally like a light switch going on. All of a sudden we are all experiencing very interesting, useful, seemingly good AI. And I have no doubt that these businesses that he’s talking about are operating at a different level with their AI. It just scares the bejesus out of me that we’re going to get to a point where we were laughing about the computer saying no in 2005 with Little Britain, we’ve now got to the point where the computer says no, and there isn’t a human in sight for you to even fix the thing. So this is how I feel about artificial intelligence. We’ll talk more about this. I’ve got views. I’ve got views.
Alexandr Wang: [00:11:52] Both my parents are physicists and I grew up in the small town in New Mexico called Los Alamos, New Mexico, where there’s a national lab. And a lot of the people I grew up with had parents who were scientists of some sort. It was a sort of very special place. And my mom from a very young age taught me about math and physics and science, and she taught me with such wonders. I was really impatient as a kid. I think I always wanted to be learning more or I always want to be doing more. I always wanted to sort of be accomplishing more. And so I actually I left high school after my junior year of high school and then moved out to Silicon Valley to work as a software engineer. I learned so much about building products, about what it meant to sort of like be metrics focused and data focused and what it sort of meant to build great software. And then that’s when I was inspired by AI. I sort of saw it in my daily work and I was like, A.I. is really cool.
Martin Henley: [00:12:47] OK good. So this is part of my issue. Part of my issue is that this guy is 25. He hasn’t even finished school. So here’s what I think is going on with AI, with digital transformation, with all of these things, is that for some reason the world has or for some reason the geeks have all decided that they are the cleverest people in the world and that they know exactly how everything should be run and they are directing it to run in the way that they think it should be running. So the fact that this kid dropped out of school and was given a job in Silicon Valley creating code, he might be a genius. He might be brilliant at that. He might be brilliant at that. But what he’s doing is he is, I think, gaining that experience at the expense of what I think are the important component components of actual intelligence, i.e. life experience, emotion, heartbreak, empathy, all of these things, hopes, dreams, all of these things. Because this guy I don’t know this guy, so I don’t know if this is true of this, but this seems to me indicative of the situation. This guy is put on a pedestal because he’s brilliant in maths and physics and all those things and he can code and then he gets a pass into a job in Silicon Valley and he’s doing it. I mean, this is what alarms me is that we’ve allowed geeks to think that they should be dictating the way that we all live our lives.
Martin Henley: [00:14:15] I think if we were to look at 100 geeks and the way they live their lives, we wouldn’t say any one of those is the example that of how we should all be living by virtue of the fact that they’re geeks. What do they do? They eat, sleep, drink, code, repeat sort of situation. So yeah, I think it’s interesting also. There’s this other trend that’s going on. We’re not really talking about marketing much, but I think, you know, A.I. impacts marketing, so it’s fine. But there’s another trend that goes on in the world where we are giving too big a platform to people who are too young. So the other example, this guy is only 25. You know, I don’t know what influence he’s having in the world, but the other example is Greta Thunberg. You know, and it seems to me like the adults are vacating the room. It seems to me that the people who should be taking charge, we’re giving too big a platform. We’re giving too much credence. We’re giving too much respect to people who don’t really can’t really know what exactly is going on in the world. And I think that’s a dangerous trend that we should as adults start pushing back against. Anyway, Alexander Wang, I really like him. He seems like a really cool guy. Where are we play?
Alexandr Wang: [00:15:31] And I went back to MIT, and then for about a year of MIT, I dropped out to start scale. We have over 500 people now. So it’s it’s pretty insane to watch that.
Martin Henley: [00:15:40] Same as a 25 year old who’s running a PC, but he had $600 million. So he’s had $1,000,000 for. More than $1,000,000 per person in funding.
Alexandr Wang: [00:15:54] Few people in a in the the basement of our investor to what it’s what it sort of become where we started was in autonomous vehicles and self driving and I think it was one of the first real use cases in applications of AI that I think caught the imagination of the world. What if we could have unlimited, easy, eco friendly transportation everywhere in the world through autonomous vehicles? One of the examples that.
Martin Henley: [00:16:25] So and this is the real danger of AI is that when I was a kid and I was stupid, I didn’t really know how the world works. But I thought part of the gig was to have jobs for people so that they had money to spend on products and services. And it seems to me like we’ve seen in the last 20 years how stupid an idea that was of mine, because huge swathes of jobs in the in the States and in the UK and in Europe have all been shipped abroad. Dirty industries that create too much pollution have been shipped abroad. Low paying, low, low paying jobs have been shipped abroad. And it’s created a vacuum, I think. And then people like Trump come along and fill that vacuum with them, make Make America Great Again kind of idea. But it’s create a vacuum where there are people there’s real poverty now in those countries. So why are we just relentlessly taking jobs away from people, you know, driving jobs? So if there’s if every car becomes autonomous, then driving jobs are going to just disappear. So that’s a whole raft of people who aren’t going to be employed. That’s a whole raft of families that aren’t going to be supported. And from a selfish marketing perspective, that’s a whole raft of people that we’re not going to be able to sell to because they’re not going to have money. So this, you know, this idea that everything can be easy and everything can be environmentally friendly and all of these things is it’s nice, Convenience is nice. I don’t know if it’s the best thing for humanity at this point because. I want to go there because you know the computer. Oh, I don’t want to go there. I don’t want to go there. I’m not going there. Okay. Let’s see what Alexander.
Alexandr Wang: [00:18:15] We get really excited about is in health care. In health care, there’s a huge bottleneck in the number of doctors, trained doctors all around the world. And there’s incredible potential for AI and machine learning to actually analyze as many of the cases as possible automatically before needing.
Martin Henley: [00:18:37] So that’s taking jobs now away from doctors. The people in society who are most invested in having careers. Doctors, jobs, I think are a threat. And is there a bottleneck? I don’t know. And is the bottleneck really due to a lack of resource? I don’t know. Is it due to a lack of investment? Is it because governments don’t want to invest in it, or is it because, like in the states, the health care industry is run to make a profit, so doctors are expensive? I don’t know. I really like Alexander Wang. I really don’t like where digital transformation is going in some instances and artificial intelligence.
Alexandr Wang: [00:19:17] Being escalation to a doctor so the doctor can spend their time on cases with anomalies or erratic data or whatnot. And so at scale, we actually did research with MIT on using AI and machine learning to analyze dermatology data and dermatology imaging to see how I could actually automate that process and then therefore unblock the sort of doctor bottleneck.Another use case that I’m really passionate about is using AI to help solve some of the largest geopolitical problems and working with governments in being able to sort of provide technology to aid in some of these very tough and tricky situations. In the war with Russia and Ukraine, we actually deployed scale’s technology in understanding satellite imagery of major Ukrainian cities, Kharkiv, Kyiv and Dnipro, to understand what was the amount of damage in key parts of these cities. And so we analyzed using machine learning as well as satellite imagery and identified all sorts of structures in these cities where there was meaningful damage that wasn’t otherwise being addressed or captured by humanitarian efforts. And so I’m incredibly excited by our work there and actually enabling sort of humanitarian efforts, enabling us to respond to some of the world’s most pressing and exigent problems. In the world of AI. There’s I think, a lot of very small.
Martin Henley: [00:20:43] All right. So here we go. So now, I mean, that’s obviously perfectly valid and noble that they can direct their efforts and their energies to get help to people. But just the idea of AI being involved in solving some of the world’s geopolitical problems, this is exactly where it comes to where I’m saying they don’t have the empathy or the sympathy or the experience or the emotion, you know, So what? We get computers to make decisions about things that are highly emotive and then where’s the feedback? Like, where do we get the opportunity to say, that’s not really cool, That’s not really right. Like people are getting hurt. So where computers make I mean, this is science fiction type stuff maybe, but it doesn’t seem to be very far away where computers make decisions like on utility grounds. Like if this happens, then maybe fewer people die than that happens or, I don’t know, it really worries me. Anyway, we’re missing out here on a speeded up video.
Alexandr Wang: [00:21:42] For people, but who are focused so far out in the future that it’s almost unhelpful. You know, there’s so many people focused on what’s going to happen when we have AGI or what’s going to happen two or three decades in the future. And I think there’s not enough people who are really focused on what are the problems that we have today and how can we use artificial intelligence and machine learning to really change the game today. And so I think what’s next for us is to be the people, some of the people hopefully in the world who are focused on how do we solve some of the biggest problems today around climate, around agriculture, around geopolitics, around medicine, and really start making an impact now?
Martin Henley: [00:22:29] Right. Good. I’m sorry, Alexander. I don’t want computers making decisions around geopolitics or around climate or around medicine. I don’t want that to be the case, I think. Yeah. This is really touched me today. It’s triggered me a little bit. I think we need to be careful. I think the world needs to be careful about what it is that we’re doing. You know, we’re seeing examples. I saw a piece of content yesterday. Am I clever enough to be able to pull that up where it’s talking about the mess that, you know, I might be clever enough to be able to bring it up, but it was literally like a real or something. And they’re talking about the issue that we’re having in mating because of the dating apps. So I might be clever enough to do this. I wonder if I am and basically it’s made a mess, so I would have saved this under world’s gone mad. I world’s gone mad. Okay, let’s have a look. This is a risk. Let’s have a look. What is this? World gone mad? Should put another tag in it. Really? Of course, it’s taken forever to load original audio. Okay. That’s Jordan Peterson talking about something. That’s not me. Okay. Has to be here somewhere. Here we go. Right. So that’s a different thing, is it? This thing? There’s so much good content that’s the problem. Here we go.
Video: [00:24:16] So simply put, it’s a disaster. Whenever technology comes into an industry, it consolidates it. Mating has been consolidated in the worst way of 50 men on Tinder, 50 women, 46 of the women show all of their attention to just four men, leaving, 46 men pursuing just four women. If if mating was a country, it would be more unequal than Venezuela. We have huge mating inequality. And here’s the problem. When people don’t get together and there’s no pheromones and there’s no vibe, women and we don’t like to say this on the left primarily try and make very quick assumptions about this individual’s ability to garner resources in the future. So what you have is this concentration of interest, and you’re ending up with Portia polygamy, where 10% of the men get 90% of the attention, which does not lead to good behavior or form long term relationships. E Commerce was disastrous for retail. Social media was disastrous for everybody. Online dating is disastrous for mating and for men. It’s terrible.
Martin Henley: [00:25:12] Right. So I don’t know who Professor Galloway is, and I don’t know the accuracy of of what he’s saying there, but. It kind of feels right, doesn’t it? It kind of feels like e-commerce was a disaster for retail. You know, we don’t go shopping in in high streets anymore. We go shopping malls or we shop online. Largely, we shop online. Social media kind of was we see now a disaster for communications for young people. And so I, I think could potentially be really dangerous. And when you’re talking about important things like geopolitics and you’re talking about medicine and you’re talking about replacing doctors and you’re talking about replacing everyone who tries for a living, then that to me, seems without any kind of plan about I mean, purely selfishly, as a marketer, who am I going to sell to if nobody has a job? Literally, if they’re going to replace doctors with I these people who are the most invested in having a career, if those jobs are in threat and we’ve heard about lawyers, why would you employ a lawyer to write a contract when a computer program can assess every contract that’s ever been written in the world, ever in about 3 minutes and produce maybe the most appropriate contract for you, why would you employ those people? But the behind all of this is it would be one thing if it could do that perfectly. But what’s going to happen is it’s going to do it without empathy, without experience, without compassion, without hopes and dreams.
Martin Henley: [00:26:44] You know, it’s going to do that in a very cold kind of way anyway. So let’s go. So I’m sure Alexander is an absolutely lovely guy. I really am. To describe him as the first world’s youngest billionaire, I think is you know, is because he’s been given $600 million of investment. And I’m not saying you don’t have to be extraordinarily clever to get $600 million worth of investment. Of course you do. But this for me, is kind of part of what we see in the world, whereas we’re putting young people very often on a platform that they’ve got not the experience to be on. And then we’re giving them hundreds of millions of dollars and they’re thinking, I don’t want to sound like Jordan Peterson, but they’re thinking like they can fix the world. And really, what experience have you got at 25 of of the world and what it is that needs fixing? Okay. Anyway, let’s have a look at the comments and we’ll see what other people are saying. So this is tiny. Can I are doing that thing. Can I make this bigger? Yes, I can. But you can’t see it necessarily. That’s annoying. Yes. Okay. So people here are saying, okay, so if we can we. Oh. Sorry. This has been too quickly. Soon after Christmas. Right. So this. If we go like that and we move that over there, you’ll see my shortcut. So that’s okay, Right? So they’re saying it’s not just about being academically smart.
Martin Henley: [00:28:19] It takes all kinds of intelligence to run such a successful business from emotional intelligence, financial intelligence, etc.. Props to this young stud killing it. Yeah. Yeah. I mean, he’s doing extraordinarily well. Well done. But then you also kind of want to think about what kind of pressure has he been put under and how is he going to cope with that pressure and is it actually good for him to be taking on all this responsibility? Clearly, he’s doing extraordinarily well. Props to him is what we say. But is it right? What is the most remarkable feature of this individual? Most millionaires discuss their profits and how difficult it was to get started, which is common knowledge. But this one emphasizes his idea and passion, which connect with him. I’m happy about his success because he is more concerned with how he can enhance businesses. How much money can I? Yeah, that’s 100% true. He seems to me to be a really lovely young man, two physical parents and a group of friends with the same background. I would have loved a childhood like this. Education really is power and this is what a family is capable of when they learn together. I’m very happy for you and wish you continued success and blessings either as well. A lesson that I’ve learned as I’ve grown older 40 plus form a solid circle of 10 to 15 friends early on and you can conquer the world.
Martin Henley: [00:29:29] It doesn’t take more than you and your friends as long as you have the same goal and loyalty to each other. His parents had a great vision for this guy since he was little. They taught him complex things. He is a true achieved true mastery. Parents are the first teachers. Great job. I wish him even more success. May he help humanity and use AI for good and noble causes. Yeah, well, it seems like that’s his mission is to use AI for good and noble causes. But the trouble is that there are unforeseen consequences. Always, like everyone thought, dating apps were great, everyone thought social media was great. Everyone thinks self-driving cars are great. Everyone thinks having Ace assess patient’s medical files is great, but there will be consequences down the track that we can’t possibly conceive of right now. So who knew that dating apps were going to cause a disaster in mating? Like in mating? So if we’re interested in the persistence of the species, we need to be able to mate. And computers are making that a little bit. Well, that guy’s describing it as a disaster, right? I feel like I’ve gone off paste here a little bit. I really think it’s interesting what’s going on with AI, especially in the last three months that I’ve been surprised. It seems to have come like a bolt out of the blue, that all of a sudden there are websites, applications available to all of us that are really, really.
Martin Henley: [00:31:00] Awesome. Like, actually inspiring or like you find yourself asking the question, how are they able to do that with computers? I don’t think he’s talking about in the next few decades. I think 2023 is going to be the year of AI. I honestly have no conception of what what kind of AI we could be looking at in 12 months time. I just hope that we don’t do what humanity seems to always want to do is create a higher power. So there was God, there was science. Now there’s AI. I don’t think I should be the thing that governs our lives. I really don’t. That’s what concerns me. Okay, good. So this hasn’t been particularly marketing, although it’s interesting to see how this guy is promoted, has been promoted into his position. He hasn’t earned $1,000,000,000. You know, that’s not what’s happened. He’s raised the finance. I’m not saying that’s any less of an achievement. It’s less of an achievement. But, you know, maybe he’s on his way to make billions. So this has been a little bit of peace for us. But if you have found it interesting or useful, please take a second to like, share, subscribe and comment, because that will give us the motivation to continue on this epic journey to bring you everything you need. If you are looking to be more successful in your business by having more customers more profitably, I will be here the next time you come along. Thank you for being here today.
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