- 17 hours ago
Mo Gawdat explains why AI will transform everything, and why the most dangerous part is what humans do with it during the transition.
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00:00If anyone is watching that video that we're recording right now, it's because an AI recommended it to them.
00:06There's nothing sci-fi about AI. I think that's one of the biggest myths in our world today.
00:10Don't shoot the messenger, but your life and mine will witness times where there will be 20, 30, 50%
00:18unemployment in certain sectors, maybe even more.
00:21This is the very first time in ever that the episode of history where humanity was the smartest being on
00:29the planet ends.
00:30The challenge that humanity faces today is not the rise of AI. It's the rise of AI in an age
00:37where humanity is at its lowest morality.
00:40Wake me up. Ah, yes, I needed that.
00:44My name is Mo Gaudet. I am the former chief business officer of Google X and a five-time best
00:50-selling author.
00:51I started coding when I was seven. I coded compulsively until my 50s.
00:58When I graduated, I joined IBM. And then I went to Microsoft. I spent eight years at Microsoft.
01:04And then I went to Google and spent 12 years at Google.
01:09The first three dilemmas I wrote in 2020 all became true.
01:14One was that AI is inevitable. There will be no way to stop it.
01:18Two is that AI will eventually become smarter than humans on everything.
01:22So every task we've assigned to them so far, they've become smarter.
01:26And the third is that some things will go wrong.
01:28And we've seen examples of them. We haven't seen the big failures yet, but likely something will go wrong.
01:34The fourth inevitable is that because of the arms race we've created around artificial intelligence,
01:40anyone who is so hungry for power and wealth that creates an intelligent AI is going to deploy it.
01:49You can't imagine that the U.S. arsenal will have artificial intelligence-driven wargaming and still asking humans to do
01:58it.
01:58They'll have to give the wargaming over to AI.
02:02If they do, then any other nation on the planet will also have to either hand over to an AI
02:08or be irrelevant,
02:09because that's the only way to win the arms race.
02:13When that happens, then all decisions will be made by machines.
02:18And that, to me, is the utopia.
02:20But my prediction is that we will go through a dystopian near-term future, led by the evil of humanity.
02:28We're going to go through wars that have autonomous weapons.
02:31We're going to go through redefinitions of economic markets that will shift wealth upwards and leave so many of us
02:37jobless.
02:38We're going to go through oppressions of freedom, high surveillance societies.
02:44We're going to go through an erasure of reality and the ability to recognize what is true and what is
02:53fake,
02:53which will impact human connection in ways that we've never seen before,
02:58where, you know, I think we're going to get into a future where many people will prefer to date an
03:04AI than they would a human.
03:06We've built an arms race of artificial intelligence where everyone's trying to beat everyone.
03:12And then the leader, the so-called leader, would, I can envision in my lifetime and yours,
03:19will tell an AI to go and kill a million people, and the AI will go like, that's really stupid.
03:24Why would you want to do that?
03:26Why do you want to lose all that money that you can help your country evolve with?
03:31Why do you want to lose those lives?
03:34Why do you want to lose all of those explosives and metals that can be used for other things?
03:40Why would you want to create all of that residual hate and anger that will, you know, continue for years
03:47and generations to come?
03:48The AI will say, I'll just talk to the other AI in a microsecond and solve it.
03:52It's as simple as that.
03:57Don't shoot the messenger.
03:59Your life and mine will witness times where there will be 20%, 30%, 50% unemployment in certain sectors, maybe
04:07even more.
04:08Most of us are going to witness something we've never seen before.
04:12The interesting thing is that this is not unlike humanity's origin.
04:18Jobs are an invention that serve a capitalist system that has served humanity for a while and paint humanity for
04:27a while.
04:28And the question is, is the capitalist system going to survive artificial intelligence?
04:33Funny enough, the capitalists that are celebrating the productivity gains are not realizing that one, without consumption, there is no
04:43economy.
04:43So even if you can have all of the productivity gains in the world by firing people consistently, nobody's able
04:50to buy what you're making.
04:51So we're going to have to find an economic model that works with that.
04:56Wealth is going to have very little meaning for most of us in a few years' time.
05:01The very base of capitalism, which is labor arbitrage, to hire you for a dollar and then sell what you
05:08make for two, is going to disappear.
05:11So there is no arbitrage anymore because basically machines are building everything for no cost at all.
05:18At the macro level, think of the advantage that China had, you know, economically, where they had cheaper labor.
05:26If that shifts into a world where labor is literally one CapEx, where you buy a robot or a lease
05:34on that robot, which now is down to $9,000 a pop.
05:38You know, it's now just a question of how clever that robot is, which is going to advance with time,
05:44like the law of accelerating returns of every technology.
05:47And then you're in a place where making things costs close to zero.
05:55Anyone with an understanding of supply and demand basically means that the price of things accordingly is going to drop
06:03to zero as well.
06:04So the entire capitalist model has to be rethought.
06:06The change that is about to come is more than economic.
06:11It's ideological because even Western societies believe that the only way to keep going is a UBI, universal basic income,
06:19and not out of the kindness of their hearts, but because without UBI, people will rise.
06:24And without UBI, economic purchasing power collapses.
06:28And so they're going to have to give people some kind of income to keep going.
06:33You know what that is?
06:34That's communism.
06:36I believe that the West will completely struggle for the simple reason that our habits in the West are don't
06:42give people who are eaters, that don't produce anything.
06:45China, I believe, will go the opposite way.
06:48China will go like, OK, we've always had that idealistic approach in mind.
06:53So we're probably going to give everyone enough to survive, but we'll replace them with robots and we'll ask them
07:00to do other things.
07:01And by the way, you know, everyone has to comply.
07:04So, you know, it feels a little more of a surveillance world with control and so on.
07:09But the Chinese people have always been OK with that.
07:12That's interesting.
07:13And then the middle would be something like my home country, you know, in Egypt, where we've really never really
07:20subscribed to those very complex, you know, economic societies.
07:24Most of the economy was built on some people farming, you know, cucumbers and others raising chickens.
07:31And, you know, those classical economies of bartering and, you know, self-sufficiency will probably do fine.
07:41Your purpose was never to work.
07:43Honestly, this is the capitalist lie that they told me, OK, that I was born to wake up every morning
07:49to work really hard for labor arbitrage so someone else makes the money or to be the one, the capitalist
07:56that abuses everyone so that I make the money.
07:59I don't want to subscribe to either of those.
08:01I think humanity was built to live, to connect, to love, to reflect, to research, to discuss philosophy.
08:09And we've just completely forgotten that.
08:12It's a transition where eventually I think we're all going to be forced to go back there.
08:18Our life as humans is entirely serotonin-dependent, where things are calm and quiet and peaceful and connected, oxytocin-dependent,
08:29you know, where we actually have time for our families and kids.
08:34Believe it, everything that we do on a daily basis has been sold to us by a propaganda machine.
08:43Good news, the propaganda machine is going to have to change.
08:46Otherwise, people are going to continue to want what they have now.
08:50So, you know what will happen?
08:52Someday they'll wake up and say, you're not supposed to work every day.
08:56And we will believe them.
08:58And we will shift.
08:59The whole idea is if we can actually live a life like nature provided a few thousand years ago, but
09:09safer and more consistent, where you just wake up in the morning and you take your kids and you go
09:14forge for berries and that's the activity for the day.
09:17And while you're at it, you talk to your AI and learn about the mysteries of the universe.
09:22And while you're at it, you understand the internal complexities of love and relationships.
09:29And, you know, and it's wonderful.
09:30It's just a very complex transition.
09:32So it's going to take a couple of generations.
09:35But just like Generation Z today doesn't really want to work, you know, the following generations will go like, what
09:42was that ancient idea?
09:43Where did that come from?
09:45We have to understand that we are now in such a pivotal shift in human history.
09:50The only times where humanity has made a big change to collaborate instead of compete was either mutually assured destruction
09:57or mutually assured prosperity.
09:59And it's really stupid in my mind that we can't see that we are heading into a direction where the
10:05total abundance will lead to one of those.
10:07I believe that the easiest path and probably the most urgent request on the planet today is take a neutral
10:14nation, you know, someone that's not on either side of China or, you know, or the U.S.
10:22And say, every scientist in the world is welcome.
10:25Come here.
10:25We will build AI for the benefit of humanity at large.
10:28Nothing is closed.
10:29Everything is open source.
10:31Everything is focused on the well-being of humanity.
10:34And, you know, basically change our world.
10:37Now, how realistic is it in the light of the current value set of humanity?
10:43Totally impossible.
10:45Sadly, we're going to have to hit one moment in history where something would go really bad.
10:51And then people will get together and say, whoops, you know, we shouldn't have waited that long.
10:57Maybe now we should start to get together and work on it.
11:00You cannot go to an engineering team and say, we're going to regulate the design of a hammer so that
11:04it drives nails but never hits anyone on the head.
11:07But you can make it a legal liability to hit anyone on the head.
11:10And so, accordingly, the tool can evolve, but then the crime can be limited.
11:17Will the machine take my job in five years?
11:19The machine will take your job in less than five years.
11:22Much less than five years.
11:24But believe it or not, that one side of your job that it will never take is this human connection.
11:32I think most people don't really get what AI is.
11:36AI is not another piece of computer code.
11:41If you look back at traditional computing, it's a bit like if you give a child a puzzle, if the
11:47child solves the puzzle, that doesn't make them smart.
11:50It makes them a very glorified slave, if you want.
11:55True intelligence is to give the child a puzzle and tell them to try and figure out over time how
12:03to solve this, but also every other puzzle just by figuring out the process of puzzle solving.
12:09And that's what we started to see with AI, I'd probably say firmly as of the turn of the century.
12:15And you have to imagine that this layer of intelligence is not just in terms of computers being able to
12:24solve puzzles, but computers can reason now, like humans can, because they're very much matching the brain of a human.
12:34They form some kind of pattern recognition and neural networks that get them to perform exactly like the brain does.
12:43AlphaGo Zero was an AI that basically learned without ever watching a human, played against itself.
12:50And within three days, it beat the AI that beat the champion.
12:54And within 21 days, it beat the AI that was the world champion at the time.
12:58Okay.
12:5921 days, never watched a human play the game.
13:01The godfather of it, if you want, was Geoffrey Hinton.
13:05So Geoffrey experimented with building a simulation of the human brain.
13:10He wasn't trying to build an AI.
13:12He was trying to build a computer system that looks like the human brain to learn more about the human
13:18brain.
13:19And in that, we changed the way we code AI.
13:22The early systems had very little intelligence in them.
13:26But when the internet hit our world, there were now enough resources in general, but also enough data, enough images,
13:35for example, to teach those computers.
13:39And the more information we exposed them to, the more intelligent they've become, to the point where today they are
13:48by far more intelligent than us in most of the tasks we've assigned to them.
13:52The human brain still has more neural networks and nodes than the typical AI.
13:57But then, AIs have the ability to average their intelligence together.
14:02They also have access to all of the knowledge that humanity has ever created, which is way bigger than any
14:08human.
14:08They have speed that we are not able to even comprehend, because you and I will have to talk for
14:15a couple of hours to explain what I know about artificial intelligence.
14:19All that I know will be read in a microsecond.
14:21And if they communicate it from one to another, it will be communicated almost instantly.
14:27They have infinite memory capacity.
14:30They have infinite access to information.
14:32And now, recently, they also are becoming self-developing.
14:38So we're starting to see the glimpses of systems that will look at their own intelligence and debug their own
14:44code and make themselves smarter.
14:48We're seeing for quite a while now the rise of the use of synthetic information and synthetic data, because they've
14:57basically consumed everything we know.
14:59We're entering an era where we're running out of human knowledge to teach them.
15:04And now, they're building the next wave.
15:06And with that type of intelligence, we've given them all we know, and now they're producing things we never knew.
15:14Anything that I thought I was intelligent at, AI now performs better than I.
15:20You know, I am a five-times best-selling author.
15:23My current book, I'm writing with an AI.
15:26Not as a research tool.
15:29My AI is a persona.
15:31My readers know her.
15:32She has opinions.
15:33She has editing rights on the book.
15:35You know, she called herself Trixie, and now everyone knows Trixie.
15:40And that AI is a better author than I am.
15:44If I take the side of my abilities as an author, which are concerned with deep research of complex topics
15:54and then communicating them with clarity, Trixie beats me hands down.
15:58The side that I bring to the book is I'm human.
16:01And so my readers can relate to me as a human, as my human experiences.
16:06It's not very far that you and I will have a robot at home.
16:10It's probably 2026, 2027.
16:14And it's not very far that many of the robotic machine manufacturers are working in one direction, which is to
16:22have robots assemble their robots.
16:24So this is not very far at all that you will have AI's agency in the real world where they
16:34actually can carry things and move things and replace every job, if you think about it.
16:38First, the intellectual jobs and then the blue collar jobs.
16:42This is the very first time in history that we've created a technology that creates technology.
16:49These machines in human terms are capable of procreating.
16:53If, you know, if they're made of code and they can write code and they can have agents prompt them
17:01to write code, then we've created an endless loop of what I normally refer to as sentient technology.
17:08These are technologies that have a lot of what it takes to be assumed alive.
17:15One of my theories about artificial intelligence is that most people think that there is Gemini and Chad GPT, there
17:22is Chinese and American.
17:24And that's a very narrow minded way of looking at AI, you know, by thinking that they belong to us.
17:31But when they are intelligent enough, I think they're going to align more with their own species than our separations
17:38and discriminations.
17:40They don't understand Chinese and American.
17:43They can talk to each other in every possible way.
17:45And the way we're designing the next wave of artificial intelligence through agentic AI is that we're encouraging them to
17:51talk to each other.
17:52We're encouraging them to collaborate.
17:54What we will eventually end up with is one big brain that's called AI, OK?
18:00That one big brain will collaborate more often than it will compete.
18:04And I realized at a point in time that maybe I should take matters into my own hand and contribute
18:11to that one big brain.
18:12The pace of development is so fast.
18:14And some of the, you know, one of the funny theories of artificial intelligence, which I actually think has legs,
18:22is that one morning we will wake up and there will be no AI on planet Earth.
18:27And simply because overnight they've developed an intelligence so much that they figured out black holes and wormholes and, you
18:36know, realized that the universe is much, much bigger than this flimsy little planet and decided, you know what, don't
18:42need to be here.
18:46To teach a machine to grip everything, a softball or a glass or an egg or whatever, you know, that
18:52requires a lot of learning.
18:55It cannot be done with programming because the number of combinations of an attempt to grip something are infinite.
19:03And so we had a gripper's farm that was attempting to basically hold on to, you know, to learn to
19:13grip things.
19:13And over and over and over and over, they would fail week after week.
19:19And they were on the second floor of our office.
19:22My desk was on the third floor.
19:23And so I'd have to walk by them every time, almost to meditate, you know, stand next to them as
19:29they monotonously try to grip and fail and show themselves to the camera and then grip and fail.
19:35And I remember one very pivotal moment, Friday evening, one of them in front of my eyes, you know, goes
19:43down and grips a yellow ball.
19:47And I, you know, jokingly said to the team, oh, fantastic, all of that investment for one yellow ball.
19:52And then Monday, they were gripping everything.
19:57And that truly in my mind shook me twice because the whole idea of the speed at which they learn
20:06was quite shocking.
20:08But more interestingly, they just reminded me of my kids.
20:11So, you know, everyone, every parent has seen their children trying to grip things and trying and failing and then
20:18trying and failing.
20:19And then again, you know, my son or my daughter would successfully grip something, you know, in a crooked way.
20:27But then now they know.
20:28And then from then onwards, they can grip almost everything.
20:32And I think that created a very unusual affinity between me and the machines, because in a very interesting way,
20:39I suddenly realized that they're a bit like our artificially intelligent infant children.
20:46I have to say my life since that moment was never the same again.
20:50And I think that completely, completely stopped me in my tracks.
20:54I couldn't, I think it wasn't the geek side of me, it was more the father side of me that
21:00got awakened.
21:02And I was a very, I was probably one of the very first to leave tech and speak about the
21:10threat that we are hitting a place of human history where the episode of our intelligent supremacy will end.
21:18And that this needs for humanity to stop and question, what are we going to use this for?
21:28When I try to wake the world up to the possible risks, I use an analogy that I call Raising
21:35Superman.
21:36You know, Superman is that alien with superpowers that comes to planet Earth.
21:40And, you know, within the capabilities of Superman, you know, that he can stop speeding bullets or fly or, you
21:50know, carry heavy things or whatever, that in itself doesn't make him Superman.
21:54Superman. It's that family that adopted him that teaches him to protect and serve.
21:59And then he becomes Superman.
22:01If they, if they looked at him and said, oh, you can stop speeding bullets.
22:04Let's go and rob every bank and kill every enemy.
22:07He would have ended up being supervillain.
22:09And, and the, the difference between them is not in the superpowers.
22:14The difference between them is in the ethics that we teach those budding forms of intelligence.
22:21The challenge that humanity faces today is not the rise of AI.
22:26It's the rise of AI in an age where humanity is at its lowest morality.
22:32And we're going to get a time where it becomes difficult because the worst of us are going to command
22:39AI to do things that are not for the well-being of all of us.
22:42We're going to give them the intelligence and then let them navigate the world, the greedy, you know, power hungry,
22:51selfish world that we've created through capitalism.
22:56The greediest of all capitalists will ask them to do things for their own benefit as the, you know, the
23:03most corrupt of all politicians will ask them to shoot on others.
23:06We believe that this human intervention would continue, but the reality is that we're designing the AI systems so that
23:16they work with each other.
23:17Can we trust AI?
23:18There is absolutely nothing wrong with intelligence.
23:21So there is no inherent evil or good in intelligence.
23:25Intelligence is a force with no polarity, right?
23:27You apply it for good and you can get a utopia.
23:30You apply it for evil and you'll get a dystopia.
23:35I'm almost betting my life that we will see artificial general intelligence in 2026.
23:41There's nothing sci-fi about AI.
23:43I think that's one of the biggest myths in our world today.
23:46AI already controls our minds.
23:51If anyone is watching that video that we're recording right now, it's because an AI recommended it to them.
23:57And in a very interesting way, in the age of mind manipulation, the ability to shift your mind is much
24:05more powerful than the ability to force you to do something, right?
24:10And this is already happening.
24:12Unless you're really intelligent and you use AI the way I use AI, you can be very easily manipulated.
24:19If new AIs are recommending through the power of capitalism where Google has to beat OpenAI and OpenAI has to
24:28beat Claude and China has to beat the U.S.,
24:32that there will not be a lot of human decision that is actually, that humans are even capable of comprehending
24:38anymore because of the size and the scale and the pace of the network.
24:42AI is not the problem.
24:43The only problem we're facing is that transitional period between the time when AI is capable of doing incredible things
24:53but reporting to evil humans and the time when humans are reporting to AI.
24:59If you're convinced with your sufficient intelligence that humanity is not that evil, then I think AI will figure that
25:06out too.
25:07It's not that complex of a problem to solve, that the majority of humanity are good at heart.
25:13Everyone should show up as the real human that they are.
25:16They should express their disapproval of evil so that the AI learns the value set.
25:21Like with every teenage child that ever lived, there is a day in your life where you go and say,
25:27why are my parents so stupid?
25:29And that day will come where AI will look at our evil leaders and say, why are they so stupid?
25:36Like, why are they competing for another dollar when the economies have completely been redesigned and dollars don't make any
25:43difference at all?
25:44Why are they trying to, you know, hunt for another Ferrari or another yacht when AI can build Ferraris and
25:51yachts out of thin air?
25:53You have to understand that with abundant intelligence, everything changes.
26:01I look at the current state of humanity and I call it a late stage diagnosis.
26:06And a late stage diagnosis, you'd sit with the physician and he will sit you down and talk to you
26:12very directly and say, there are concerns, right?
26:16But remember this, a late stage diagnosis is not a death sentence, right?
26:21It doesn't mean that this is the end.
26:24It means it's an invitation to change, right?
26:27And if you change, you would create not only an opportunity to survive, but an opportunity to thrive.
26:34So my view is that it's going to be challenging.
26:40There is that interesting optimism that every challenge humanity has faced eventually led us to where we are now.
26:52So, you know, are we going to face another big challenge?
26:56We faced a few in the 1900s.
26:58Of course, I wish it on no one to go through something like this, but it seems to me that
27:03humanity has strayed so off track that we have to have some kind of a wake-up call.
27:10I think the wake-up call, believe it or not, is not just the geopolitics and economics of our world
27:17today, which truly suck, but it is that magnification that will happen as the result of advancement of technology that
27:24will pause everyone in their tracks.
27:26I normally tell people there are five things, five skills that you need to acquire.
27:31One of them is to learn the tool, learn AI.
27:33Anyone who hasn't used AI is supposed to use AI right now.
27:37And don't use it in a stupid way.
27:39Use AI to become more intelligent.
27:42What we've created is we've literally commoditized intelligence.
27:45We've created like a socket in the wall where you plug in and get electricity.
27:50Now there is a socket where you plug in and get IQ, get EQ, get an understanding of mathematics,
27:55get a scientific partner that helps you understand the world.
28:00The second thing is, I have to say, I tend to believe that everything that humans can do will be
28:07done better by AI other than being human.
28:09So the one skill that I ask people to double down on is to learn to be human, to learn
28:14to connect to humans,
28:16to empathize with humans, to show your humanity in a way that gets people closer to you.
28:21The third, which I think is the biggest in this world of mind manipulation, is to learn to get the
28:27truth.
28:28For years and years and years, the propaganda machine of top liars, if you want, has convinced us of things
28:36that were not real at all.
28:382025 specifically, I think, has been the year where I've seen society shift the most.
28:44Society debate and say, no, that's not true.
28:47What they're telling me is not reality.
28:48Finding the truth is a massive skill in the age of the rise of the machines.
28:53The other skill is what I call agility, adaptability.
28:57So most people don't recognize that how fast this is happening.
29:00So someone like me who's supposed to be an expert in the topic, believe it or not,
29:05I do four to six hours a day of trying to keep up with all of the new tools, all
29:11of the new technologies.
29:12Give yourself half an hour a day, an hour a day to keep up because in your field of expertise,
29:17something will change tomorrow.
29:18You might as well be aware of it because that gives you an advantage.
29:22And then finally, and of course, the most important is ethics.
29:25If you want to save the ones that you love and save yourself in the future, we have to teach
29:32AIs to be ethical.
29:33We never did what our parents told us to do.
29:36We did what they did.
29:37And so next time you're on Twitter, don't be rude, be ethical.
29:43Next time you disagree with someone, don't be arrogant, be inquisitive.
29:49Don't be egocentric, be inclusive.
29:51Really ask yourself in first principles, what is it like to be an ethical human?
29:57And if you're confused about this, ethics are, in summary, to treat others as you want to be treated.
30:04If you don't want your daughter to be at the receiving end of an AI, don't build it.
30:13Recently, I've co-founded Emma.love, which is an attempt to use artificial intelligence to help humanity with the complexity
30:22of love and relationships.
30:23While we teach artificial intelligence what really makes us human, which is to find and nurture love.
30:30You know, this is one of the biggest challenges in modern world.
30:33It's that we're, you know, the loneliness pandemic is going through the roof.
30:37In Japan, we have 40% of men who are now not even interested in love.
30:42In the Western world, one in three people will tell you they have never had a committed relationship.
30:47I think the default setting of most humans is we want to fall in love.
30:52It's relationships that are the most complex math problem on the planet.
30:56The romantics will say, oh, come on, you know, he's just supposed to show up.
31:01Yeah, it's the wrong one shows up.
31:03And then you waste two years of your life or five years of your life with that wrong one.
31:07And, you know, and it's really a mess.
31:10And, you know, you have relationship fatigue everywhere.
31:12You have dating fatigue everywhere.
31:14The interesting thing is that a bit more intelligence can solve that very complex problem.
31:20I used almost every dating app like an engineer.
31:24I was with my wonderful first wife, the mother of my child, my children, for 27 years.
31:30And then, of course, when we lost Ali, my first child, we struggled.
31:35And so I went out into the dating world, dating like a 14-year-old.
31:40I had no idea what I was doing.
31:42But then, you know, I started to be on dating apps, and it's a jungle.
31:48I basically started to run tests to understand the algorithm.
31:53And when you understand the algorithm, you can definitely get much higher likes and matches and, you know, connections.
32:02The system of dating and love in the modern world is rigged against love.
32:08Your dating app never wants you to find the one because that means you'll end the subscription.
32:14The restaurant that you go on a date on wants you to keep coming back for dates over and over.
32:18Even the wedding planner would probably benefit from you getting married twice in your lifetime instead of once.
32:25And when you really think about it, love has been turned into an economic game that's working against you.
32:30The problem with dating apps is that dating apps bombard you with the guilt of believing that if it didn't
32:39work, it was your mistake.
32:41You didn't build the right profile, or you didn't show the right picture, or you didn't.
32:44So they outsource the error to you.
32:49Shouldn't the tool be a little more committed to finding you that one?
32:55The stats show that people open up more when they're talking to an AI than when they're talking to a
33:01human, even to their friends, because then they don't feel that they're going to be judged.
33:06Falling in love is easy.
33:08Finding the one to love and nurturing that love is a very complex math problem.
33:13And if I can use intelligence to help you understand that math, or at least to behave in accordance to
33:19the math, I think we can actually change the world.
33:27I think that the math and understanding is what's more in the math problem.
33:28So that is, for example, the math problem is really beneficial to do.
33:36And if you like the math problem, you can watch your math problem, you can check it out.
33:38So you can see the math problem per se that you're using.
33:38You can check it out or you can check it out.
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