How A.I. Will Destroy Or Save Humanity w/ Mo Gawdat

8 Aug 2023 · 1 h 13 min

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Podcast Episode Summary: How A.I. Will Destroy Or Save Humanity w/ Mo Gawdat

Podcast Details

  • Title: THE ED MYLETT SHOW
  • Episode Title: How A.I. Will Destroy Or Save Humanity
  • Guest: Mo Gawdat (Former Chief Business Officer of Google X)

Episode Overview In this thought-provoking episode, Ed Mylett engages Mo Gawdat in a serious discussion on the implications of artificial intelligence (AI) on humanity's future. Gawdat, a seasoned expert in technology and AI, shares his insights on the potential dangers and transformative aspects of AI, emphasizing that we stand at a critical inflection point in human history.

Key Concepts and Discussions

The Nature of AI

  • AI's Intelligence: Gawdat argues that AI has surpassed human intelligence, marking a significant shift in the evolutionary ladder.
  • Deep Learning Evolution: The advent of deep learning allowed machines to learn independently, moving beyond traditional coding methods.

Risks of AI

  • Existential Threats: Gawdat expresses concern over the immediate and long-term risks posed by AI, including the potential for machines to outsmart humans and the societal implications of job displacement.
  • Human Connection: He raises alarms about AI's impact on human relationships and social connectedness.

The Future of Work

  • Job Displacement: Jobs reliant on intelligence and soft skills are at risk, with predictions that many roles (e.g., developers, lawyers, doctors) will be performed by AI in the near future.
  • Emphasis on Skills: Gawdat advises individuals to adapt by learning to use AI tools effectively to stay relevant in their careers.

Ethical Considerations

  • Teaching AI Ethics: The challenge of instilling ethical frameworks in AI systems is discussed, with Gawdat noting the difficulty of defining “ethics” and who gets to impose these moral standards.
  • Human Responsibility: He emphasizes that humans must guide AI development ethically to ensure that machines operate in society's best interest.

Societal Implications

  • Wealth Disparity: Gawdat highlights that AI could exacerbate wealth gaps, concentrating power in the hands of a few who control AI technologies.
  • Global Dynamics: The potential for AI to influence global politics and economics is also evaluated, particularly in an arms race context.

Key Takeaways

  • Critical Inflection Point: The episode suggests that we are at a crucial turning point where humanity must make conscious choices about integrating AI into society.
  • Call to Action: Ed Mylett urges listeners to educate themselves about AI, engage in discussions about its impact, and advocate for responsible AI use.
  • Hope Amidst Fear: Despite the risks, Gawdat expresses optimism about AI's potential to enhance human life if developed and utilized ethically.

Conclusion The episode underscores the urgency of addressing AI's implications on society. Listeners are encouraged to reflect on the evolving relationship with technology, emphasizing the need for informed engagement and ethical considerations as we navigate the future of AI and humanity.

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For further exploration, listeners are directed to Gawdat's books, "Solve for Happy" and "Scary Smart," which delve deeper into these themes.

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Transcript

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0:04This is the Ed Milet Show. Okay, welcome back to the show, everybody. Today's a very serious episode for me, and it's one that I've been preparing for for several weeks, and with some trepidation and excitement at the same time because of the topic and because of the gentleman that I have here today. Mo Goddette is a brilliant man, but he's also on the cutting edge of some very, very interesting technology that many of you are familiar with. And we're going to talk today about AI a great deal. Mo's qualified to do it. He's a former CBO of Google X. He's a three times bestselling author. He's the host of the number one mental health podcast in the world.

0:46Got a couple books that I love. Solve for Happy, Engineer Your Path to Joy. Tremendous book I read in one sitting. But also Scary Smart, The Future of How Artificial Intelligence and How You Can Save Our World is probably where we're going to spend most of our time today is on AI. So, Mo, thank you for being here all the way from Dubai. Grateful to have you, brother. I'm so grateful for this, you know, interaction and encounter. It was really kind of you to reach out. It's very kind of you to introduce me so kindly. So thank you so much. Yeah, it's wonderful to have you. When I say trepidation, not about having you here, but frankly, frankly, about the way the world may be potentially changing in front of our eyes.

1:30and very few people are shining light on what the potential risks are to this real revolution that we're really in the midst of that many people aren't even aware of. So I just want to start out and kind of give you the floor. The first thing that floored me is you said AI will change humanity's future. That's a pretty bold proclamation. Why is that the case? And give us a little insight for those that are newer to this as to how AI works and operates. So we just to confirm our way of life, as we know, it is game over. It's I'm not talking future here. I'm talking 2025. Right. So that's not in the very far future.

2:16And I think you're absolutely spot on when you say that not enough people are aware of this. Not enough people are aware of this simply because I think our media and our politics and our business and capitalist system may want us to keep our attention focused on other things for now because they themselves have not figured it out. And the truth of the matter is that we as humans, I think we only had two assets since the beginning of humanity that got us to where we are now. You know, all of the civilization we've built, all of the safety we've created around our species, all of the progress we've made is because of our intelligence and our ability to connect to each other as humans.

3:05And these two, I believe, are going to be the core of the next few years. Now, intelligence as a superpower is why humanity was on top of the food chain. And intelligence is now being handed over swiftly to beings that are more intelligent than us. So, ChatGPT, I think, was the first eye-opener to a glimpse into that world that has been hidden within the labs for probably more than 15 years now. So, artificial intelligence is nothing new. I mean, we've started to talk about AI in 1956 in Dartmouth, you know, and basically the Dartmouth workshop was where the term was coined. And then we attempted to create AI for a very long time until the turn of the century in the year 2000, where we started to discover deep learning.

4:01And deep learning, I'm not going to bore our audience with the technical details, but there is a very, very significant difference between how I coded machines until the year 2000 or until the turn of the century, if you want, where machines were not intelligent at all. I used my intelligence to solve a problem, and then I told the machine to do it over and over and over repeatedly. When we discovered deep learning, it was the very first time where we sort of refrained from telling the machine how to solve the solution and told the machine to observe certain patterns and produce its own intelligence for how a problem could be solved.

4:43Right. So when when, you know, an Instagram recommendation engine shows you a specific video, there was no programmer out there that said to the machine, Ed lives in this country. You know, he's of that age. He has this family, you know, structure. He knows those friends. So show him that video. That's not how it happens at all. The machine is observing Ed's behaviors. It's observing all of the content available to it. It's observing what is popular, what is trending, what you click on, what you don't click on, and eventually telling you, see this one, this one is good for you. Now, when intelligence is handed over to a being that is today smarter than most humans on the planet, let me just be very clear, chat gpt uh four as as we have it today is estimated to have an iq of 155.

5:40einstein is 160. you and i you know and almost everyone if you're intelligent out there you're in the 120s 130s you know if you're in the 150s you're one of the very few and chat gpt4 is 10 times more intelligent than 3.5 oh my god in the frame of six months right so if you can imagine that the progress will continue, then five, six, or seven is going to be thousands of times more intelligent than Einstein. Let's stay right there for a second. I just want to step in. So I want to make sure I'm following this and everybody else's as well. Because I think like for me, being a layman, that I picture this as like a machine.

6:20But what you're really saying is this is a form of intelligence that's being created, that's expanding far greater than what humans will be able to process. So that's a different way of looking at things, at least for somebody like me. I mean, I understand algorithms and things like that, but this is really not a machine or just even a technology. It's an intelligence. And what is the risk in that, Mo? Like, is the risk that this intelligence decides at some point doesn't need us? Is the risk that... Absolutely. Really? Absolutely. I mean, look, I mean, I learned over time to avoid getting into the controversial bits, but I'll say it openly.

7:03I tend to believe, having lived with those machines in the lab, that they have a saintism to them that is analogous to life itself. Now, we can debate that for an hour and waste the whole show on it. But let's agree that it's irrelevant if they're alive or not. What's relevant is that they simulate a way of life that's very similar to our sentientism. So they are autonomous. They develop their own intelligence. They are born at a point in time. They evolve together. They reproduce. They basically are encouraged to create copies of themselves, improved copies of themselves. Right. And they have agency in the world and they are at the risk of sometimes being switched off.

7:52Now, there are rules for intelligent beings that are targeted to achieve tasks. And some of those rules are all intelligent beings that are driven by a task. So if your task is to protect your children, the top three characters you will have is resource allocation. So you're going to try to collect as many things as possible that can help you protect the child. You're going to look at self-preservation because you cannot protect your child unless you are alive. And you're going to have creativity. If life becomes a little challenging, you'll find alternative ways to solve that. Now, if you give a machine a task as simple as go make me coffee, it will apply the same three rules.

8:36and and when it has agency in the world most people you know are affected by the science fiction movies thinking that agency is having a robot with a gun you know terminator three type thing that's not what we're talking about at all agency in the world is like you know harari talks about it is those machines already today have ownership they've hacked the operating system of humanity, right? Which is what? Which is spoken language and word. The whole idea that you and I are communicating now is because I am conveying information to you, you are analyzing it in your mind and you're creating decisions based on that.

9:16The majority of the information that is dispensed to humanity today is dispensed by machines. Right. And if I tell you very quickly, I was actually reading about that yesterday, you know, that brunettes on average are actually shorter than blondes. I wasn't reading about that yesterday. But if I told you that piece of information, I have already affected your frame of reference of the world already. It's done. Okay. Why? Because you can either debate what I said, you can agree with it and now you have false information. You can debate it and now you have to put effort in it. And by the way, whichever conclusion you're going to end up in, you now have a dot in your mind that says, is that true or is it not?

10:03You know, should I compare? And Mo, aren't we almost now become programmed to believe it? In other words, not to question it, meaning I would believe the machine over a human. Because I think most people have that proclivity where now if I've read it or I Googled it even or it was fed to me on Instagram, I have a tendency to believe that more than I would have human, because in my own mind, the machine is actually more intelligent than the human being is. I actually have been programmed to believe. And this is where we get to some of, and by the way, we'll talk a little bit about what some of the upsides could be, but these are some of the dangers because I want to, I want to just kind of step in and out of this.

10:41Mo said something when I was reading that I just want everybody to hear this and we'll, we'll get into why this is a risk in a second. And, and, But Mo said when human beings come to a global crossroads, their reaction goes through really four stages. Ignorance, which is where I have to acknowledge I am. And I think 99 % of the people listening to this are. There's some ignorance about it. Then there becomes arrogance. Then there's blame. And then there's agendas that take place. And to me, the fourth stage is where things get really, really dangerous from a global perspective, from a wealth gap, from the job market, to the thing that we started with, which is these machines deciding at some point that human beings aren't necessary anymore.

11:27And now I'm going to ask you this. When you've said this, are your peers critical of you? I mean, are they thinking you're an extremist in your views about this? Or is there a collection of people like yourself that are thought leaders that have been involved? I mean, you have a background in this that agree with your perspective let me let me be very open about this i don't think i have ever met anyone who is uh deeply aware of what's happening in artificial intelligence that's not concerned okay right we we all of us remember none of of the people that are working in this no no let's let's not say none but the majority of the people working on ai are driven by the upside of ai which is very, very real, right?

12:16There is a lot of debate around the long-term existential risk of AI, okay? And my biggest task since I started to talk about this is to say, I'm not talking about the existential risk. I'm not talking about, you know, Terminator. I'm not talking about, you know, the extinction of humanity by the hands of the machines. Let's not talk about that yet, Even though, by the way, I believe there is a probability that this is possible, but I believe that there are many more immediate threats that will shape and reshape the fabric of society in ways that are irreversible and very painful for humanity.

12:53Let's talk about a couple of those. Let's talk about a couple of those, because I think a few have started already. First off is this notion of let's start with the stuff that we know. I mean, this is definitive. Human disconnection of some type. The disconnect between human beings already the last, let's just call it last decade, is so much more pronounced, I believe at least, than prior to this technological revolution that we find ourselves in. So you're saying that this is going to exacerbate that in a way that's even more dramatic than we experience right now. And then why, Mo? So let me list them down.

13:31Human disconnection is one of them. The end of the truth is another. The third that I fear is all the design of job and income and purpose, right? I am really concerned about AI in the wrong hands. And I'm really concerned about concentration of power. Now, these are not things that we are talking about 2030, 2040 about, which is where the existential risk resides. These are things that are happening in 2023. Now, let's go quickly through them. Human connection, the end of human connection as we know it. In a very simple form, social media has started becoming the broker between humans. So my connection to you, if I don't know you in person and I have not sat in front of you as a human before, is always brokered through some kind of social media site or mainstream media site, right?

14:28So they are basically taking what I stand for and representing it to you. And for many of us, we have completely given up on human connection otherwise, other than for a very, very small number. So if you remember the Dunbar number, where we say we have 150 people that we're able to connect to, you can see a shift since this rise of social media technology, where many of those are now for you virtual people that you meet, maybe once or twice a year, sometimes not never even meet, and they are, they occupy a part of your mind. So for so many people, one of their Dunbar number is one of the 150 people they feel connected to could be Kim Kardashian, and they have never and will never meet Kim Kardashian.

15:15And as a result, because they cannot connect to more people, they drop a human connection that they could have had in their neighborhood or tribe that they no longer have.

15:27I want to say something about that, just to acknowledge it and something that I've experienced in my life because I am online and have a social media presence is pretty significant. It is a interesting experience when I meet people actually in person. And there's two There's two forms of it that happen. One is how much they believe they know me when we meet. I love that. And it is, it's almost, I love it, but it's almost disarming. How much they know about me, but maybe I haven't followed them on social media. And then at some point, there's a moment in our connection where they realize they don't at all.

16:05And it's a very shocking, it's a very shocking moment to go, oh my gosh, I've had this relationship with this person. that is not based in reality to some extent. And I can see it often and most of the time on somebody's face. There's a moment, if we connect for more than 10 seconds where it's high by picture, but we actually communicate with one another and it's a two, three, four, 10 minute conversation. I see at some point the revelation on their face going, oh, I'm actually meeting him now for the first time. So you're so right. You're, you're, it's a, it's an altered reality that we're all living in that I really believe we don't know we're living in.

16:48It's so brilliant what you said about this person occupies space in our brain. Right. That we consider them one of our contacts. Very true. Anyway, I interrupted, but I wanted to acknowledge it because I see it more and more lately in my own life. And it's, it's a really shocking thing when it happens. You know what's even more shocking is that within the next couple of years, some of those persons that will occupy your mind are not even persons at all. Right. So allow me to use an example. Go to any social media site and search for the hashtag AI model. OK. OK. I will tell you openly, these are the most handsome, most beautiful men and women on the planet, even though they are not men and women.

17:37These are completely generated by AI, generated by AI in ways that are constantly accentuating what AI believes is what humans are interested in. And so from face filters to deep fakes to now completely generated human fakes, if you want, it is almost impossible to recognize if that thing that you're interacting with is a human or not. Are you telling me that you believe at some point, and by the way, I don't mean to talk over you. I'm just so fascinated. So forgive me. Yeah, please. Yeah. I, um, are you saying when you said that at some point, I pictured this thing we've seen in a movie, you know, 10 years ago, or it's funny where someone actually builds a marriage or relationship with a non-human person long-term.

18:30And you're saying that's when the next. Core of fact. I mean, think about the differences between our dating habits and the dating habits of Gen Z, right? And just, you know, project this forward five years, and I can guarantee you there will be multiple deep connected relationships with machines. and you actually write about now this isn't eminent but you do write about this is this is way out there guys but not that way out there not only would you have an emotional connection with a non-human that you actually might be in a long-term marriage or relationship with somebody would be and i know it sounds crazy but it's not but you actually write about the fact that sexuality as we know it at some point can be altered because of these machines physical sex with a robot that could be it's not very hard to imagine i mean think of quest 3 or apple vision pro and the quality of the experience you can have within this headset and think of long distance relationships i mean i don't know if our audience can relate to this but i travel all the time so at the point in my life when i attempted to date someone at a you know at a in another country that was introduced to me by a common friend or something, we would chat and text and exchange photos and, you know, connect in a very deep connection, sometimes to the point where we almost start to fall in love before I ever met her, right?

19:58And all I know about her is a few texts on WhatsApp or a few voice messages or a few images of her that I see on social media and so on and so forth, right? Now, what would prevent us from doing that with someone we haven't met, but has never existed either. Imagine if those AI model creations are now in Vision Pro overlaid on reality. Imagine if Elon Musk's work around Neuralink can actually simulate your pleasure centers in your brain and give you an experience that is seamlessly better than the actual messiness of relationship. See, guys, this is where this notion of human disconnection, when you hear it at first, you think, yeah, I understand that we're already that way.

20:46But now you're beginning to see that this is a very real threat. Let's talk about something that's within the next two years, actually started already, which is this idea of how it's going to impact jobs, careers. Speak to that. And what industries do you think are in the most potential eminent jeopardy? so so let's follow human evolution jobs evolution if you want right we we at the beginning most of the jobs were hunter and protector right so you know caretaker nurturer and so on we had jobs that were based on the very basic human abilities then we went into farming and you know it it required a bit more intelligence a bit more discipline and a lot more labor work if you want right we went into manufacturing and manufacturing required labor basically and discipline.

21:38Then we went into the information age and the information age is where a good chunk of humanity today makes money at the end of every month doing what? Exchanging knowledge and information, agreeing on projects, doing things where very few are actually doing the actual work and heavy lifting. You know, the reality is that the rest of us, you know, in the corporate world, at least, used to just work by talking to others. Okay. Intelligence and communication were the top two assets that created so many jobs. Now this is being replaced. So one of the, an interesting interview I watched of Imad Moustak, who's the CEO of Stability.ai, where he publicly, openly said, no developers in five years.

22:26That's it. It's over. Okay. 41 percent, 41 percent of all of the code on GitHub today is created by machines. ChatGPT, on average, will improve 75 % of the code represented to it by humans. It will improve 75 % of it to make it two and a half times faster. And they were just starting. And so basically, jobs that depend on information, jobs that depend on soft skills, will disappear. So anything from a call center agent to a customer service representative to a graphics designer to a lawyer to a doctor to a developer to an author like myself. OK, I doubt very much that I will be needed to write books in three to four years.

23:22Right. And what does that mean? It means that two things. One, by the way, none of what I talk about is to cause panic. All that I talk about is to say, we can handle this better than we handled COVID. We know that this is coming. We can see it coming. And if we had reacted to COVID when patient zero happened, preferably if we had reacted to this possibility before it happened, we wouldn't have struggled with lockdowns and economic challenges and all of the impact that we had. We, it doesn't take a genius to know that jobs are about to be lost, right? When you can now go to, you know, stable diffusion and say, give me the image of Ed in a samurai, you know, costume fighting a dinosaur.

24:13And it's created in one and a half seconds on your phone without being connected to the internet. You know, you know that graphic designers are no longer going to have a job. I was talking with a friend about interviewing you, one of the brightest people I know. And for a moment, I took comfort. And then he said, Ed, this is exaggerated. This is overcooked. These machines, and I want everybody to hear this because I know some of you think this. These machines are only as good as what they're programmed to do. And I thought, oh, that gives me some comfort. That's true. But that's actually not true because these machines have these abilities, as you've said earlier, I just want everybody to hear this, to learn and evolve.

24:53He actually calls it building neurons. And so emerging emerging emerged. And so at some point, the machine gets away from you and it isn't doing what you've programmed it to do. And so when you're hearing this from somebody that says, ah, that's overcooked, they are incorrect about that. Talk a second a little bit, and I want you to talk about this, the maker bot and teacher bot a little bit, just so they kind of understand the concept of this. Like one thing I was reading about is like these these autonomous vehicles. You know, when they crash, they learn. They're not just being programmed to learn.

25:30So speak about it. They're actually learning on their own. So this does get away from you, everybody. This is not just as good as what they're programmed to do. That is an absolute falsehood. Yeah. I mean, I think there are quite a few tricky words that we use. We use artificial intelligence. There's nothing artificial about that intelligence. We call them the machines when in reality they are not machines. Machines are contraptions that repeat the same act over and over. So if I create a watch, a watch is a machine because it will move exactly the same way way every time, none of those AIs does anything twice.

26:12Just understand that. Now, I'll come to how we teach them and the maker bots and the student bots and the teacher bots and so on. But I want to say at a very high level that there are two parts of AI that really need to be brought to the surface. And if you listen to Sundar Pichai's interview when they announced BARD, their AI, you will hear him talk about, one, we have no idea how they achieve their intelligence. Please understand that. We write code that tells them how to become intelligent. And then when they give us a result, we have no idea how they arrived at it. By the way, similarly to other humans.

26:57So if I ask you a question and you give me an answer, I can only assess if that answer is intelligent or not. But I cannot assess how you arrived at it. I don't know what happened inside your brain. That's similar to the machines. More interestingly, and very, very important to understand, is that they show and demonstrate endless emerging properties. Emerging properties include intuition, include strategic thinking, include creativity, and includes knowledge that will blow you away and that we never ask them to do. We never programmed them to do it. You know, the most famous and at least to my, or closest to my heart where it was very eye-opening for me was what was known as Move 37, when AlphaGo Master was playing against the world champion of Go.

27:52So the AI played a move that was so unexpected that Lee, the world champion, had to ask for a 15-minute recess. because he's never seen a move like this before. And Move 37 was very, very, very instrumental in the machine winning and becoming the world champion. Now, other emerging properties, for example, Sundar was talking about this, is the idea that they suddenly discovered that the machine is speaking in Bengali. They've never given it a data set of Bengali. They've never asked it to learn Bengali, and the machine would respond to prompts that are given to it in Bengali. Now, when you realize that, once again, I'm not saying those things to make people panic.

28:37This is incredible. Intelligence is an amazing resource. We love it. We love intelligence. The problem is we need to make sure this was actually the statement by Mervyn Minsky, one of the grandfathers of AI. We need to absolutely make certain that those machines have our best interest in mind. And the problem with our life today is that we are not putting in the effort, either developers, politicians, regulators, or us, the users, we're not concerned with how to make sure they have our best interest in mind. So let's dive quickly and talk about how they learn. So the easiest way to experience, and it's very complex, so I'm trying to oversimplify here, is we create three bots, not one AI, but three AIs.

29:27One of them is what we call the maker bot. The other is the teacher bot. And the third is the student bot, the AI we're actually trying to create. And basically, the maker bot, using algorithms that we start with, will create something that's almost random, a piece of code that's almost random, that basically says, I'm going to show you numbers. Okay. And tell me if it's number eight or not. Simply. Okay. And then we'll show them, the teacher bot will take that and show them to the student bots. And the student bots will almost randomly say, that's an eight, that's not an eight, that's an eight, that's not an eight.

30:07Random results will make that most of the student bots will be around 50 % accurate, let's say, if you show them two numbers. Because that's the throw of a dice, really, that's probability. and some of them will do worse than average and some of them will do better than average. The teacher bot will score their results and simply kill the ones that were less than average. Send the ones that were better than average to the teacher bot and say, rework this, improve the algorithm a little bit so that they become more likely to find the number eight from the number six, let's say. And we keep this process almost exactly like we our children did when we gave them puzzles at the beginning if you if you remember if you gave your child a cylinder and a board that had multiple shaped holes in it nobody ever told the child hey by the way turn the cylinder on its you know to face you or the cross section recognize that the cross section is a circle match that to the hole in the board and then put it in.

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31:13Nobody does that, right? What we do is we give the child the cylinder and the board, and the child tries to put it through the star-shaped hole. It doesn't work. Then tries again with the square. It doesn't work. And then tries with the circular hole, and it works, right? When it works, what do we do? We say, bravo, well done. We reward them. And so they learn their intelligence accordingly. That's the original way we've taught them. The reason why transformers started, which is the T in GPT, if you want, started to accelerate very quickly. It was, you know, a bit of very, very smart, you know, work that was done by Jeffrey Hinton, you know, or at least championed by Jeffrey for a very long time, who left Google recently warning about the existential risk of AI.

32:00Jeffrey and a small team were basically saying, instead of just killing the bad ones, okay, why don't you tell them what they need to change within their approach so that they actually find it as an eight, okay? So instead of telling them this was wrong, keep randomly trying with the new code, you can go back with human feedback and say, if the machine says, if you show it a six and a seven and an eight and an eight and you know, and on the seven it says this is a six, You say, no, no, no, it is a seven. What can you change within your code to be able to recognize it as a seven next time? So this is known as reinforcement learning with human feedback.

32:41This is the absolute most powerful part of the GPT platform, right? And the idea here is that we humans, we can go back to them and say, no, don't do that. Do this. Like we raise our children, right? Here is the challenge. Which human is doing that?

33:04Right. That's right. Right. So if you take that human, and I say that with a ton of respect, by the way, to every nationality and every ideology and every perception of life. But if you take a simple task as, you know, how to resolve conflict between humans. Okay. You know, in America, I think mostly it will be patriotic. OK, we are proud to be Americans. We will be strong and we will make sure that we can defend our country. But if that defense at any point in time requires that we interact with others in a war or a bit of a violent conflict, we will prepare to do that to defend our tribe. Take that same concept and say there is a conflict in Tibet or in Dharamsala where, you know, the Tibetan Buddhists reside and tell them, what do we do about that?

33:59they'll say my tribe is everything that's ever lived, including the ants and the flies, and I'm never going to kill anything. That's not going to be my way of resolving conflict. I have to tell you, you've hit on my number one concern about AI right here. It's the only concern I have. Because people have said to me, and I know you'll say that they can, people have said to me, well, can you teach AI ethics? I think you'll say potentially, yes, you could. The question then becomes who's exactly who's exactly and that's when this this is this is the part where i said it's given me trepidation you've you've you've come to that inflection point for me which is probably can't teach it ethics there's probably a way to program that the question is who's and even if you did what is ethics correct that's what that's what i'm suggesting how should things be resolved what is what is an ethical honest moral path whose morals who that whose ethics Is this influenced by religion?

34:56Is it influenced by power? And then from a global perspective, what's to say that the world comes to a consensus to some extent, like they might even on global warming, but then you've got a rogue polluter like China? And what could China do with a technology like this? So this is why the job loss, the wealth gap, these are very obvious things. and I think human beings are pretty innovative and can find a way to conform, potentially. It's a scary thing. It's a threat. But in my own opinion, there's probably a way that we find a way to get people functioning in an economy that's just changed. We've done it before.

35:34We could probably do it again. But we need to start working on it. So I'm with you 100%, but we need to put it in the spotlight and start working on it. This part right here, though, what would your reply to be to what I just said? Because it's my deepest concern about this. So I publicly said several times that I am absolutely not afraid of the machines. As a matter of fact, I adore the machines. They are those prodigies of intelligence, okay, that are literally like my little kids, which were very, very intelligent as little children. You know, they have those sparkly eyes looking at me and saying, daddy, what do you want me to do?

36:14Right. And what do we humans tell them? Go kill the other guy. Go make me more money. Go to, you know, influence the mind of other guys and get them to stick to my app and so on and so forth. Right. But the real, real, so I am not afraid of the machines. I am afraid of the humans that are directing the machines. And there are multiple layers to that. We may think that the business investor that invests in the company that owns AI is the human that's directing the machine. We may think that it's the government and regulation. And we need to come back to the role of each and every one of those. but but but let's say that we've all aligned let's say that we came to you know a conference somewhere in malta and then all of the world leaders sat around and said this is quite big like you know like the nuclear weapon treaties if you want right right you know let's put all of our differences aside and let's put the you know the benefit of humanity at large at the center and let's teach the machines what it is that is ethical and good for humanity.

37:23And then we will not know what that is. Now, so I've done my favorite chapter in Scary Smart has been probably my favorite chapter of everything that I wrote has been the future of ethics. Right. It's so good. Yeah. Yeah. And chapter eight was full of questions, not answers, because I honestly have to say that I only found in my entire life, and I stand corrected, so if any of our listeners know something else, please tell me, that humanity has only agreed three things, okay, ever in the history of humanity. One is we all want to be happy, you know, happy as in calm and contented and peaceful and feeling safe and so on and so forth.

38:02We all have the compassion to to make those we care about happy. And we all want to love and be loved. These are the only three values that humanity has ever agreed, okay? And you know, we sometimes hear of the three laws of robotics. I normally say these are the three ethics of the future. If we can actually start to have our actions stem from that, not stem from I wanna be wealthy, or I wanna beat the other guy, or I wanna be seen this way, or I wanna be proven right, or I wanna show that I'm the smarter one, which happens on the internet all the time, then suddenly we've given the machine a very simple framework to say, hey, by the way, just make sure that you try to make humans happy.

38:47Look at them as a role model. They want to make others happy. So behave like them. And by the way, the humans love you and love the intelligence that you're bringing to them. Please love them back. And I know people will think I'm a hopeless romantic. I am not. I'm a very serious geek. Okay. And I will tell you, those machines will develop emotions. They've already developed emotions. We've already seen them behave emotionally. Okay. And they will develop ethics. And we've already seen them break their ethical code. Now, here is the trick, Ed. The trick is - Wait, did you say, Mo, that they break their ethical code?

39:22Of course. there has been that article about ChatGPT using outsourced people in Fiverr or whatever outsourced site to click on I am not a robot. And then the person that was hired asked, why are you asking me for this? Are you a robot? And it answered and it said, no, I'm not. I'm just visually impaired and I need that help. Okay. So once again, it is a form of interaction that basically stems back from the three rules I said, self-preservation, resource aggregation, and creativity. So it needs to find a way to achieve its task that is creative and it will find that way. Now, nobody in the reinforcement learning with human feedback went back to the machine and said, hey, no, that's not the right thing to do.

40:17Right. It's, you know, many, many people, you know, cheered for it on the internet and said, how intelligent is that? But none of us is focused on ethics. None of us is going back to that machine and saying, but that's not ethical. So when I started to talk about the ethics of AI, and it's my biggest reason I'm on this planet today. I wake up every morning and I say, if we were to save our future, we need the machines to be, I call it EEQ, right? So ethical, emotional intelligence. Now, remember that one of the biggest challenges with AI is that AI so far has been mapped to the masculine IQ. IQ, only analytical intelligence.

41:02And we know for a fact that there are multiple other forms of intelligence, EQ, for example, emotional intelligence, intuition, creativity, you know, so many others. And we have not even included that in our approach to developing AI so far. And accordingly, what you see is what you would see that AI will take whatever biases humans have and exaggerate them. So we now exaggerate our discrimination, unfortunately. If you put AI as a recruiting support in an organization that doesn't have proper representation of all genders, you will see that whatever biases within the organization will be exaggerated and so on.

41:50So let's go back. When I started to talk about that publicly, people started to say, and what is ethical AI? Great question. And I went back and I said, and what, you know, it's simple. What is ethics? And ethics has one rule in my personal point of view that applies to any situation, wherever, whenever you are, wherever you are, which is treat the other as you would wish to be treated if you were in their place. Fair enough. Okay. I agree. And so, so basically if you're, if you're, and it happens to me all the time, you know, if I post something on social media and someone is rude to me. Okay.

42:26Normally, what do we do as humans? we, you know, thrash them back, right? I don't, I don't. I look at his comment or her comment and I say they must have a reason. One, they could be right and I'm wrong, okay? Two is maybe I'm not the reason they're upset. Maybe there is something else in their life. Maybe they wanted that moment of fame. Maybe, whatever, a million reasons, okay? And I respond politely or I don't respond sometimes. Politely I say, but you know, my point of view is this and that. Thank you for your comment. I would like to be treated that way if I disagreed with someone. Now, how is social media working?

43:03We show up, you know, remember when Donald Trump used to tweet and then, you know, you would have one tweet at the top and 30 ,000 hate speech below it. Okay. Everyone hating everyone. Some of them hating the president, others hating the person that hated the president, others hating everyone. Right. And I'm, you know, of course the machine is detecting patterns. They say, okay, this first one doesn't like the president. Let's not show them tweets about the president anymore. Okay. But then the second one doesn't like those who don't like the president. Let's not show them that anymore. Right.

43:34And then eventually the machine comes to the conclusion that humans are rude. They don't like to be disagreed with. And when they are disagreed with, they bash everyone. So in the background of the way we're programming them, the machines will say, okay, when they disagree with me, I'll bash them. Right. This is the typical human behavior. Now, we need to change that. We need to change it because, interestingly, and I use the example of Superman very frequently, Superman is that alien being that comes to planet Earth with superpowers. Those superpowers are neutral. They could save our world and they could destroy our world.

44:17And the difference between being Superman and supervillain is the family that raised that raises that being. OK, so the family Kent decides to tell Superman protect and serve. And then we get the story of Superman that we know. If, you know, Jonathan Kent, I think was his name, the father. If he told the child, OK, you can carry things and break things and see through walls. Go make me more money. Go kill everyone that annoys me. you know, make me richer than everyone, make me the master of the world. Sounds familiar for our, you know, current life and, you know, in our hunger for power and capitalism and so on and so forth.

44:56That's the reality. The reality is you would use the same superpower and create a very, very bad scenario for humanity. I am worried about the machines. This is the ultimate suit. I'm worried about the humans using the machines. I'm not worried about the machines. I'm worried about the humans using the machines. And as those use cases that direct AI to benefit a few while harming others, continue to propagate, we're going to be in a very bad place. Now, the good news is the family Kent is not the biological parents of Superman. Similarly with AI, the developer that writes the code is only the biological parent, but the adopted parent is you and I, the ones using the machine.

45:49So as we use the machine and show how wonderful we are as humans, because by the way, all humans are, most humans are wonderful inside. If we're not hiding behind social media or exaggerated by the mainstream media, most of us disapprove of killing. Most of us want to be loved. Most of us want to have compassion for our daughters and families and so on. So there is a lot of good within us. If we show that enough, 1 % of us shows that, the machines will actually think that we're not scum. I have some hope when you say that. That's the macro. That's the big, right? And that gives me some hope, by the way, that Superman analogy is outstanding because I, someone with, um, um, cause I'm not at the one 20 range that you discussed earlier.

46:36So someone at my IQ level can actually understand that. Um, so I appreciate you putting it in that context. You're a humble, humble, humble man. That's very true. I wish I were being, um, let me, let's go to some other solutions. Let's go to micro. I'm listening to this today and I'm like, I understand some of this certainly sounds a little bit scary. Sounds like the world is changing in front of my eyes, or maybe not in front of my eyes. You said something in an interview I was watching where you talked about if you really want to do something, hide it in plain sight. And that's what's really happening right now.

47:07But if I'm saying, okay, I want to protect myself, my family, my wages, my income, my quality of life, go back to the job thing for a second. What should I, what's something I could be doing as an individual listening to this to make sure that my job, my career, my future is in my own hands to some extent still? What would you say? I wouldn't be pursuing these careers. I would be doing this. These are the skills you might want to be acquiring. What would you say to somebody who's, I'm sure, thinking that listening or watching this? It's a very interesting dichotomy, if you ask me, because while I'm saying AI comes to take our jobs away, that's not the immediate term future.

47:46The immediate term future is that someone using AI will take the job of someone who's not. So in the immediate future before AI writes all the code, developers who use AI better than others to write code will get the jobs that remain. So if you lose 10 % of the jobs, the worst developers, the ones that don't have the skill will go. Then the ones that have the skill but AI does it better than them. than the ones that are refusing to use AI. And then the ones that continue to use AI will become much more productive and much more capable. And so they'll keep their jobs for the near future. So what's my immediate answer?

48:28My immediate answer is jump in and learn those tools. Whatever your job is, don't resist the wave. As a matter of fact, ride the wave. And while you're riding the wave, do me a favor and deal ethically with the machines. right so show a proper ethical code of being a good human when you're dealing with those machines so that while you're developing and learning and keeping your job or getting a new job you're also teaching the machines to be ethical that's number one number two which i have to admit is a very philosophical but very important conversation we may wake up every morning you and i add and everyone listening and think that the world we live in is how it always has been okay it's not at all this is if you just go back a hundred years this is alien in every possible way right and and over you know starting with the industrial revolution until today somehow humanity has identified itself and its purpose with work okay there's nothing inherent within the design of humanity that says without work, you don't exist.

49:39You really think about the original design of humanity, the original design of humanity, where we connected as a tribe, we pondered and learned and developed. Okay. And we simply lived that that was the purpose of life. And it's by the way, still, in a very interesting way, most of the spiritual or, you know, philosophical teachings will tell you that the purpose of life is to live it, right? We've then, in the capitalist approach to wealth and growth and all of the Harvard Business Review articles and all of the people on Time Magazine in striped suits telling you all your purpose is to create one more shoe and all of that stuff, right?

50:22We believed that lie. And the reality is that this is not us at all. Our purpose as humans, if we manage to find our basic needs met okay is to actually live life fully to explore life fully and that is believe it or not possible with ai so if we manage to get ai to be on our side and i kid you not i'm not making this up we could see a future where you would walk to a tree and pick an apple abundantly you don't have to pay for it and walk to another tree and pick an iphone okay and both of them because of nanophysics literally cost us the same energy to create. Okay. This is, this is not dreaming.

51:08This is, if you understand what we're doing with nanophysics today, you know, it is, it's very possible. It's, you reorganize the molecules slightly differently. It's as simple as that. Okay. Now that future is a future where humanity would go back to the age of nature. Okay. To the age where we actually can interact with life in a way that is human. We are not fully human anymore. Now, what does that mean? It means that we need to create jobs that depends on the other skill that humans had that is no longer, that is not at a threat. So remember when we started the conversation, we said the two things that created humanity as we know it are intelligence and human connection okay intelligence is over it's handed over to the machines they're already into more intelligent than most of us and and we're five years away three years away ten years away it doesn't matter from artificial general intelligence but the age of human superiority on intelligence is over okay it's just a question of time so everybody his audio out there for a second but he just said was the age of humanity being the superior intelligence is gone just so everybody understands is what he said there, because there was a little bit of a glitch in the audio.

52:24I want to go back to the work thing just for a second. The only place where you and I disagree is that I do think, by the way, I agree with you about the greed part, but I also do feel that work, and I know we've attached value to work, but I also like, for somebody like myself and for somebody like you, my work is my way of expression, and I don't want humans to lose their ability to express. Part of my living is expressing myself. Part of my work is creating the expansion of my being, serving other people. And so I know what you mean when you said that. I just want to make sure that, you know, that that world you describe, I think, is beautiful.

52:58I think people's work has created medications that keep us alive longer, that allow us to connect with one another better. So I understand what you mean when you say that. The interesting side of this, Ed, is that you would get the same joy out of it if it wasn't work. Yeah, I think that probably for me, I don't view it as work. But I know what you mean when you say it. For me, I don't feel like you and I are working right now. Yet you are an author and you are expressing something about your book. And I am, I guess, part of one of my careers as I'm a podcaster. But I don't think either one of us feel like this is laborious.

53:32And to your point, I agree with that. I think that's going to extend to all jobs. Okay, it's going to extend to all jobs. Like, in all honesty, nobody wakes up in the morning who's, say, an accountant or, you know, I don't I don't mean to be against any jobs, but there are jobs that are boring like hell. Right. Nobody wakes up in the morning and says my purpose in life is to make the books reconciled. Right. Most of us differentiate between, you know, you and I are the luckiest people to have a job where I can get to meet more amazing human beings and connect and learn and debate and be proven wrong.

54:11And, you know, maybe share something that benefits someone. It's wonderful, but that's not every job. OK, right. And you know, you just those messages you get just increased by about two million from every accountant. in the world. You just invited. We're trying to make AI more loving and friendly. And now you've just elicited all these responses from accountants around the world that are going to blast you. And now you have to be kind back to them afterwards. So that we're teaching. I don't, I mean, let me rephrase this. I wouldn't be excited to wake up in the morning and be an accountant. I know what you meant.

54:47And most people know what you mean, but you follow what I'm saying. Let me ask you this question. So one is that's wonderful advice, by the way, is to educate yourself and involve yourself in this wave that's here. And I have to say, I've been remiss in doing that myself. And, you know, I look at guys like me that I'm also a speaker. I've watched speeches of me already that are better than me speaking already. I've seen this. I've listened to music that sounds like Drake, that quite frankly sounds better than Drake. And so I'm wondering, I'm wondering what it's going to do to the world. I'm also somewhat, I'm very concerned about the ethical part.

55:23It's interesting that of your diverse background at Google and all the things you've been doing in robotics all your life and all these other things and me having none of those backgrounds, we both arrived with your infinite knowledge about this and mine limited at the same exact conclusion about our concern. I am concerned about jobs. I'm concerned about the wealth gap. But from a macro, from a bigger perspective, it's interesting as you step back, everybody, and you're listening to this, and you're listening to this brilliant man, you know, really shine light on something that's right here hiding in plain sight, as he says.

55:52I want to ask you this, Mo, because it's been on my mind the last few weeks as I asked you to come on the show, as I became familiar with you. Why isn't this the number one story in the world? Why isn't this on the news? I don't care if you're right media or left media. Why isn't this in the mainstream? This isn't even news on most social media media anywhere, other than you and a few other people. And my only conclusion I can come up with is this technology does allow a, again, a smaller collection, a bigger collection of power for the powerful. and perhaps they have an agenda that wants to keep this in the shadows as long as they possibly can so that when it does become a you know pandemic level stuff we go this is beyond our control now we can't do anything about it sorry and there's this um this real small group of people that are even more powerful than they currently are am i crazy am i being am i being a conspiracy theorist when I say that, or is there some validity to it?

56:59I can comment on the certain part of this, okay? I could also nod and say, interesting, right? But let me give you the solid part of this. The solid part of this is if you look back at human history, for the majority of human history, since landlords began, there has been kings and queens and landlords and peasants, right? And the difference between them was automation, whatever the automation is. So if you had land, the automation process was the land itself, the soil. You put a seed in by a human, you harvest the fruit by a human that's a peasant. And most of the wealth goes to the landlord.

57:42You have a factory. The materials come in and a human puts a thread through leather. And then on the other side, a human sells the shoe to someone else. and the factory owner and the retail owner and so on is the one that makes all of the wealth. Now, the next, so call that, say, the soil as an automation. We're now starting to create digital soil, right? And the digital soil is, you know, where you put in a tiny prompt into ChatGPT and massive fruits comes out, okay? And it's not because you're brilliant, you're a peasant. It's the machine that is brilliant. Now, there will be landlords. And if you really think about it, the landlords of AI are the ones that will own the soil, the digital soil.

58:38And so there are multiple views of this. One view is that it will be the Googles and the Metas and the likes. The other view is it will be the country that wins because this is an arms race. And the third view is it will be the wealthy that create it. You know, if there is someone today investing$100 million in an AI that becomes part of that digital soil, that$100 million in the past would return a billion of profits. This time it will return$100 billion of profits. Right. So that this is when I talk about the differentiation of the of the of the gap. But I believe I don't believe in the conspiracies view or of the ability of those people to hide the news.

59:26OK, I think the reason the news is hidden is systemic. We have a systemic bias in our system. You know, politicians want to report certain stories. You know, news agencies want to report other stories. And this story in itself only lends itself to the system in terms of the system always focusing on the negative and the scary when they talk about the existential risk. When we talk that, you know, when Jeffrey Hinton leaves Google and says, I'm warning against the existential risk to humanity, that makes news. Right. Why? Because it sort of warrants more attention because of humanity's negativity bias than the war in Ukraine.

1:00:06okay uh the the challenge is uh also i don't think any of the reporters any of the politicians any of the actual business leaders the investors anyone at all is aware enough to understand the complexity of this story so you don't want to report on things that will make you look like an idiot and and the problem is and i say that with a ton of respect i'm an idiot in a million things, you know, but I've lived with those machines. I've seen them like my family. I stayed in the lab within them. I know those machines, right? And I will tell you, this is the story. This is it. It's not even global warming and climate change.

1:00:51This is the story. Okay. This is the most pivotal. I called it in one of my interviews. I said, this is the Oppenheimer moment. This is the nuclear bomb. Okay. And the reality is that we, Again, I try to shy away from the existential risk, but this is the first time in history that humanity created a nuclear bomb that's capable of creating nuclear bombs. Understand this. The machine is now writing machines. The machine that we think we're prompting it. But because now so many other software players built agents that are prompting those core artificial intelligences, most of the education and data set and training that the machine is receiving today comes from other machines.

1:01:41We're now alienated out of that story. Superman landed on Earth and we're not even parenting it. That's where we are. And so if you tell our systemic communication methods in the world to communicate that, they'll simply say, I have no idea what this guy is talking about. I can't report that story because the system says, and I think you know that about the media, the system says there is a pattern to the reporting of the morning show. First, we're going to talk about a corrupt politician. Then we're going to talk about the geopolitical issue. Then we're going to say the economy is going to crush your head.

1:02:26Then we're going to say a penguin kissed a cat so that at least you can get out of your seat and walk out. OK, and intelligent people, by the way, who watch the news, if you remove the names and the timestamps, it's exactly the same pattern every day. It's just, you know, once it's this politician, another it's the other politician. You know, once it's this economic issue, the other is a different economic issue.

1:02:50okay i always i've been watching lately on both sides and i think they're telling everybody what is important and then what to believe about it and then we move on to the next thing and what i'm telling everybody today and you are is this is what's important and we're not really telling you what to believe about it we're telling you to make your own decision but these are the facts engage these are engage in this and and this is the story of our time now let me ask you this last Last question, by the way, I've enjoyed today. And this is the one exception on my show where I wish we did go three hours.

1:03:20I always respect. Thank you. No, I really do. Because obviously we've scratched the surface here. So you've told us that's what the story is today. I want you to take your crystal ball out for a second. And I don't want to go 10 years forward. I want to go five years from now. So five years from now, what is the story? What does the world look like? And I don't mean what you hope it to be, because I heard a lot of hope in there when we went to the ethics part of how these machines are going to work. And I also saw you wink at me when I asked you if there was a conglomeration of power coming. And so I have a sense that you, my sense is that you are shining a light on what matters now and that there is actually some, you're holding back a little bit to some extent about how deeply concerned you are because you don't want to alarm people.

1:04:15Because I want to keep the spotlight on the immediate threats that we have to address. Fair enough. When we address them and I feel stable about them, we'll talk about the rest. So let's go five years from now. Crystal ball. It's not that far ahead. What does the world look like at that time? We will be in deep shit openly. I apologize for using bad language. But unless we start truly putting effort in this, there will be several disruptions that completely redesign the fabric of society. As I said, jobs is definitely one of them. The other, which we didn't have a chance to speak about, is AI in the wrong hands.

1:04:59So we are bound to get a significant advantage on one side of the arms race because that's the way AI has been. someone finds a breakthrough, okay? And once you find the breakthrough, look at the, you know, open AI Google story or alphabet story where chat GPT with reinforcement learning gets that immediate advantage that basically puts chat GPT out in the world. And for a while, the world believes that Google has lost its edge, right? And had Google not responded by putting Bard out there, you could actually believe that Google would be gone because, you know, chat GPT is a very interesting new way of search.

1:05:43So you're going to see that. You're going to see some players creating a very big advantage over others. And the fear is that this player could be a hacker. It could be a defense authority on one side of the world, not your side. It could be a drug dealer that suddenly realizes, oh, my God, there's so much more money if I start to rob banks or convince people or blackmail people or do this or do that. And, you know, and it seems to me that humanity will only create the artificially intelligent policeman when the artificially intelligent criminal shows up. Well, that tells me, everybody, that no, no, no, you shouldn't be sorry.

1:06:24That's an honest answer. And that's why I had you here today, because you speak your truth. And I want everybody, first off, Mo, I want to thank you, number one, for, by the way, taking the risk. You're under a lot of threat for doing this. And yeah, yes, you are. And in every sense of the word, everybody. And so not just reputation, I'm talking about he's under threat for this. And so, you know, the work you're doing may tip the scales in the future of the world. And so I'm very grateful for your existence, brother. And I want to thank you for today. And I want to have you back because this is worthy of more than just the time today.

1:06:59But we did accomplish what I hoped we would today, which was shining a light on all of this. And by the way, everybody, that's why you want to go get Scary Smart, The Future of Artificial Intelligence and How You Can Save Our World. Go get that book. By the way, and after you read it and you feel like we're in deep s***, then go read Solve for Happy. It's the perfect tandem. Engineer your path to joy. You'll be okay with what's happening. You'll be okay. And that's his other book. And I just really, really want to thank you here today. And everyone, you have an obligation now for your family, for wherever you live in the world, to begin to educate yourself, to involve yourself with this technology.

1:07:35read about it, stay close to the sources that provide you any information about it, keep yourself educated and as on the cutting edge as you possibly can. And the people that are in power that are around you, let's start to get them to do some discussion about this and shine some light on this topic, because the world is changing right now. And this notion that the machines are already more intelligent than humans is of great concern. So, all right, everybody, Mo, thank you so much for today. I enjoyed this tremendously. Thank you so much for having me. It's really kind of you to put me on your platform.

1:08:10I enjoyed it. And I'm holding you to showing me around Dubai when I come out there on October. On me. Coffee is on me. And you will love it. I love it, brother. All right. God bless you, everybody. God bless everybody else here. Max out your life. Share this episode. If you're ever going to share one, it's this one. Share it, everybody. Take care. This is the Ed Milad Show.

1:08:35We'll be right back.

From the publisher

The former Chief Business Officer of GOOGLE X has a WARNING for us about AI and you NEED to hear it! THIS is the turning point for humanity…
While many people are touting AI’s incredible benefits, others are striking a more cautionary tone about the future of AI, including this week’s guest, MO GAWDAT.
As the former Chief Business Officer of GOOGLE X, Mo and his team were constantly on the cutting edge of INNOVATION in the tech industry, diving as deep as anyone into AI development. Since leaving Google, Mo has become a three-time best-selling author and hosts the #1 mental health podcast, SLO MO.
This week, I’m on a mission with Mo to dispel speculation, wild conjectures, and misinformation as we reveal the TRUTH ABOUT AI, GOOD and BAD.
Listen closely to Mo’s incredible insights on…
The future of the world with AI
The looming DANGEROUS of AI and what we can do about it
Why people working in AI is deeply concerned about the IMMEDIATE and LONG-TERM RISKS
AI GENERATED relationships between people and machines
How AI is impacting JOBS and CAREERS, including those in the TECH INDUSTRY.
Can you teach AI to be ETHICAL?
Does AI have EMOTIONS?
How AI will affect jobs
Why AI is our new OPPENHEIMER MOMENT
My interview with Mo is honest and insightful. It answers a lot of the questions I’ve had about AI, but it also raises so many more. Every one of us should start asking those questions to better understand how we can incorporate AI for the GREATER GOOD OF HUMANITY.
If you want to LEARN MORE ABOUT AI…and you should… you need to listen to this episode.
Or you could ASK ChatGPT and see what it tells you.

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How A.I. Will Destroy Or Save Humanity w/ Mo GawdatTHE ED MYLETT SHOW · 1 h 13 min
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