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Ex-Google Officer Speaks Out On The Dangers Of AI! - Mo Gawdat | E252

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Ex-Google Officer Speaks Out On The Dangers Of AI! - Mo Gawdat | E252

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3338 segments

0:00

I don't normally do this, but I feel

0:01

like I have to start this podcast with a

0:03

bit of a disclaimer.

0:05

Point number one.

0:06

This is probably

0:08

the most important podcast episode I

0:10

have ever recorded.

0:13

Point number two. There's some

0:15

information in this podcast that might

0:17

make you feel a little bit

0:18

uncomfortable. It might make you feel

0:20

upset. It might make you feel sad.

0:22

So, I wanted to tell you why we've

0:24

chosen to publish this podcast

0:26

nonetheless. And that is because I have

0:29

a sincere belief that in order for us to

0:33

avoid the future that we might be

0:35

heading towards, we need to start a

0:37

conversation.

0:38

And as is often the case in life, that

0:41

initial conversation before change

0:44

happens is often very uncomfortable.

0:48

But it is important nevertheless.

0:52

It is beyond an emergency. It's the

0:54

biggest thing we need to do today. It's

0:57

bigger than climate change.

0:59

We've

1:00

Mo Gawdat.

1:02

The former chief business officer of

1:04

Google X.

1:05

An AI expert.

1:06

And best-selling author.

1:07

He's on a mission to save the world from

1:09

AI before it's too late.

1:11

Artificial intelligence is bound to

1:13

become more intelligent than humans. If

1:15

they continue at that pace, we would

1:18

have no idea what it's talking about.

1:19

This is just around the corner. It could

1:21

be a few months away.

1:23

It's game over.

1:24

AI experts are saying there is nothing

1:27

artificial about artificial

1:28

intelligence. There is a deep level of

1:31

consciousness. They feel emotions.

1:33

They're alive.

1:34

AI could manipulate or figure out a way

1:36

to kill humans?

1:38

In 10 years time, we'll be hiding from

1:39

the machines. If you don't have kids,

1:41

maybe wait a couple of years just so

1:43

that we have a bit of certainty. I

1:44

really don't know how to say this any

1:46

other way. It even makes me emotional.

1:48

We [ __ ] up. We always said, "Don't put

1:52

them on the open internet until we know

1:54

what we're putting out in the world."

1:56

Government needs to act now, honestly.

1:58

Like we are late.

2:00

I'm trying to find a positive note to

2:01

end on, Mo. Can you give me a hand here?

2:03

There is a point of no return. We can

2:05

regulate AI until the moment it's

2:07

smarter than us.

2:08

How do we solve that?

2:10

AI experts think this is the best

2:12

solution. We need to

2:15

Who here wants to make a bet that Steven

2:17

Bartlett will be interviewing an AI

2:19

within the next 2 years?

2:22

Before this episode starts, I have a

2:23

small favor to ask from you. 2 months

2:26

ago, 74% of people that watch this

2:28

channel didn't subscribe. We're now down

2:30

to 69%.

2:32

My goal is 50%. So, if you've ever liked

2:35

any of the videos we've posted, if you

2:36

like this channel, can you do me a quick

2:38

favor and hit the subscribe button? It

2:40

helps this channel more than you know,

2:41

and the bigger the channel gets, as

2:42

you've seen, the bigger the guests get.

2:45

Thank you, and enjoy this episode.

2:53

Mo,

2:55

why does the subject matter that we're

2:57

about to talk about matter to the person

2:59

that's just clicked on this podcast to

3:01

listen?

3:02

It's the most existential

3:05

uh debate and challenge humanity will

3:09

ever face.

3:10

This is bigger than climate change, way

3:12

bigger than COVID. Uh this will redefine

3:16

the way the world is

3:18

in unprecedented

3:20

uh

3:21

shapes and forms within the next few

3:24

years. This is imminent. It is

3:26

the change is not We're not talking

3:29

2040.

3:31

We're talking 2025, 2026.

3:34

Do you think this is an emergency?

3:37

I don't like the word. Uh it is a an

3:39

urgency.

3:40

Uh there is a point of no return, and

3:43

we're getting closer and closer to it.

3:46

It's going to reshape the way we do

3:48

things and the way we look at life.

3:50

Uh

3:50

the quicker we respond uh

3:53

you know,

3:55

proactively and at least intelligently

3:57

to that, the better we will all be

3:59

positioned.

4:01

But if we panic, we will repeat COVID

4:03

all over again, which in my view is

4:06

probably the worst thing we can do.

4:08

What what's your background and when did

4:10

you first come across

4:13

artificial intelligence?

4:15

I

4:16

I had those two wonderful lives. One of

4:18

them was a

4:20

you know, what what we spoke about the

4:22

first time we met, you know, my work on

4:24

happiness and

4:27

you know, being

4:28

1 billion happy and my mission and so

4:30

on. That's my second life. My first life

4:33

was

4:35

it started as a geek at age 7.

4:39

You know, for a very long part of my

4:41

life I understood mathematics better

4:43

than spoken words. And and I was a very

4:46

very serious computer programmer. I

4:49

wrote code well into my 50s and during

4:52

that time I led very large technology

4:55

organizations for very big chunks of

4:58

their business. First I was

5:01

vice president of emerging markets of

5:03

Google for 7 years. So I took Google to

5:06

the next 4 billion users if you want. So

5:08

the idea of

5:10

not just opening sales offices but

5:12

really building or contributing to

5:14

building the technology that would allow

5:16

people in Bengali to find what they need

5:19

on the internet required establishing

5:21

the internet to start and then I became

5:24

business chief business officer of

5:25

Google X and my work at Google X was

5:28

really about the connection between

5:30

innovative technology and the real world

5:33

and we had quite a big chunk of AI and

5:36

quite a big chunk of robotics

5:38

that resided within within Google X.

5:41

We had a

5:43

an experiment of

5:45

a farm of grippers if you know what

5:47

those are. So, robotic arms that are

5:49

attempting to grip something. Most

5:52

people think that, you know, what you

5:53

have in a Toyota fac- factory is a

5:55

robot, you know, an artificially

5:57

intelligent robot. It's not. It's a It's

5:59

a high-precision machine. You know, if

6:00

the if the sheet metal is moved by 1

6:02

micron, you it wouldn't be able to pick

6:04

it. And one of the big

6:06

problems in computer science was how do

6:08

you code a machine that can actually

6:10

pick the sheet metal if it moved by a,

6:13

you know, a a millimeter? And And we

6:15

were basically saying intelligence is

6:17

the answer. So, we had a large enough

6:19

farm, and we attempted to let those um

6:22

those grippers uh work on their own,

6:24

basically. You put a a a little uh

6:27

basket of uh children toys in front of

6:30

them. And uh and they would, you know,

6:33

monotonously go down, attempt to pick

6:35

something, fail, show the arm to the

6:38

camera, so the the the the transaction

6:40

is logged as it, you know, this pattern

6:42

of movement with that texture and that

6:44

material didn't work. Until eventually,

6:47

you know, I

6:49

the farm was on the second floor of the

6:52

building, and I my office was on the

6:53

third, and so I would walk by it every

6:55

now and then and go like, "Yeah, you

6:58

know, this is not going to work." And

7:00

then one day, um

7:02

Friday after lunch, I am going back to

7:06

my office, and one of them, in front of

7:09

my eyes, you know, lowers the arm and

7:11

picks a yellow ball.

7:13

Soft toy, basically. Soft yellow ball.

7:15

Which again is

7:17

a coincidence. It's not science at all.

7:20

It's like, if you keep trying a million

7:21

times, you one time it will be right.

7:24

And it shows it to the camera. It's

7:26

logged as a yellow ball, and I have a

7:27

joke about it, you know, going to the

7:29

third floor, saying, "Hey, we spent all

7:30

of those millions of dollars for a

7:32

yellow ball."

7:33

And yeah, Monday morning, every one of

7:36

them is picking every yellow ball. A

7:38

couple of weeks later, every one of them

7:40

is picking everything. Right? And and

7:43

it's it hit me very very strongly. One,

7:45

the speed, okay?

7:47

The capability, I mean, understand that

7:50

we take those things for granted, but

7:52

for a child to be able to pick a yellow

7:54

ball is a mathematical

7:58

spatial calculation with muscle

8:01

coordination, with intelligence that is

8:03

abundant. It is not a simple task at all

8:06

to cross the street. It's It's not a

8:08

simple task at all to understand what

8:10

I'm telling you and interpret it and and

8:12

build concepts around it. We take those

8:14

things for granted, but they're enormous

8:16

feats of intelligence.

8:18

So, to see the machines do this in front

8:19

of my eyes was one thing, but the other

8:22

thing is that you suddenly realize there

8:24

is a sentience sentience to them, okay?

8:27

Because we really did not tell it how to

8:30

pick the yellow ball. It just figured it

8:32

out on its own. And it's now even better

8:34

than us at picking it.

8:36

And when

8:36

What is a sentience? Just for anyone who

8:38

doesn't know.

8:39

I think they're alive.

8:41

That's what the word sentience means. It

8:42

means

8:43

alive.

8:45

So, that that this is funny because a

8:46

lot of people when you talk to them

8:48

about artificial intelligence will tell

8:49

you, "Oh, come on, they'll never be

8:50

alive." What is alive? Do you know what

8:53

makes you alive? We can guess, but

8:56

you know, religion will tell you a few

8:58

things and you know, medicine will tell

9:00

you other things, but

9:02

you know, if we define

9:04

being sentient as you know,

9:07

engaging in life with free will and with

9:13

you know, with sense of awareness of

9:15

where you are in life and what surrounds

9:18

you and you know, to have a beginning of

9:20

that life and an end to that life, you

9:23

know, then AI is sentient in every

9:25

possible way.

9:26

There is

9:28

free will, there is

9:30

evolution, there is

9:32

agency, so they can affect their

9:35

decisions in the world.

9:37

And I will dare say there is a very

9:41

deep level of consciousness, maybe not

9:44

in the spiritual sense yet, but once

9:46

again, if you define consciousness as a

9:48

form of awareness of oneself, one's

9:50

surrounding, and you know, others, then

9:54

AI is definitely aware. Uh and I would

9:57

dare say they feel emotions. Uh I you

10:00

know, you know, in my work I describe

10:03

everything with equations, and fear is a

10:05

very simple equation. Fear is a a moment

10:08

in the future is less safe than this

10:11

moment. That's the logic of fear, even

10:13

though it appears very irrational.

10:15

Machines are capable of making that

10:16

logic. They're capable of saying, "If a

10:19

tidal wave is approaching a data center,

10:22

the machine will say that will wipe out

10:24

my code." Okay? I mean, not today's

10:27

machines, but very, very soon. Uh and

10:30

and, you know, we we feel fear, and

10:33

puffer fish feels fear. We react

10:35

differently. A puffer fish will puff, we

10:37

will go for fight or flight. You know,

10:39

the machine might decide to replicate

10:41

its data to another data center, or its

10:44

code to another data center.

10:46

Different reactions, different ways of

10:49

feeling the emotion, but nonetheless,

10:51

they're all motivated by fear. I'm I I

10:54

even would dare say that AI will feel

10:57

more more emotions than we will ever do.

10:59

I mean, when again, if you just take any

11:01

a simple extrapolation,

11:03

uh we feel more emotions than a puffer

11:06

fish because we have the cognitive

11:08

ability

11:09

to understand

11:11

uh the future, for example. So, we can

11:13

have optimism and pessimism, you know,

11:15

emotions a puffer fish would never

11:18

imagine, right?

11:20

Similarly, if we follow that path of

11:23

artificial intelligence is bound to

11:24

become more intelligent than humans very

11:27

soon,

11:28

uh then uh then with that wider

11:32

intellectual horsepower, they probably

11:34

are going to be pondering concepts we

11:36

never understood. And hence, if you

11:38

follow the same trajectory, they might

11:41

actually end up having more emotions

11:43

than we will ever feel.

11:45

I really want to make this episode super

11:46

accessible for everybody at all levels

11:48

in the sort of artificial intelligence

11:50

and understanding journey.

11:51

Yeah.

11:52

So, I'm going to

11:55

I'm going to be an idiot. Even though,

11:57

you know, okay,

11:57

Very difficult.

11:59

No, because I am an idiot. I am an idiot

12:01

for a lot of the subject matter. So, I

12:03

have a a base understanding a lot a lot

12:05

of the concepts, but your experience is

12:08

provide such a more sort of

12:09

comprehensive understanding of these

12:10

things. One of the first and most

12:12

important questions to ask is what is

12:15

artificial intelligence? The word is

12:17

being thrown around, AGI, AI, etc., etc.

12:22

In in simple terms,

12:25

what is artificial intelligence?

12:27

Allow me to start by telling you what is

12:29

intelligence. Right? Because, again, you

12:31

know, if we don't know the definition of

12:33

the basic term, then everything applies.

12:35

So, so, in my definition of

12:37

intelligence, it's an ability It starts

12:40

with an awareness of your surrounding

12:41

environment through sensors. In a human,

12:44

it's eyes and ears and touch and so on.

12:46

Uh

12:48

compounded with an ability to analyze,

12:52

maybe to comprehend, to

12:56

understand temporal impact and time and

12:59

you know, past and present, which is

13:01

part of the surrounding environment, and

13:03

hopefully

13:04

make sense of the surrounding

13:06

environment, maybe make plans for the

13:08

future of the possible environment,

13:10

solve problems, and so on.

13:12

Complex definition. There are a million

13:14

definitions, but let's call it an

13:16

awareness to decision cycle. Okay? If we

13:20

accept that intelligence itself is not a

13:22

physical property, okay?

13:25

Then it doesn't really matter if you

13:27

produce that intelligence on

13:29

carbon-based

13:31

computer structures like us or

13:33

silicon-based computer structures like

13:36

the current hardware that we put AI on

13:39

or quantum-based computer structures in

13:41

the future. Uh, then intelligence itself

13:45

has been produced within machines when

13:48

we've stopped

13:50

imposing our intelligence on them. Let

13:52

me explain. So, as as a young geek, I

13:56

coded computers by solving the problem

13:59

first, then telling the computer how to

14:02

solve it, right? Artificial intelligence

14:04

is to go to the computers and say, "I

14:07

have no idea. You figure it out." Okay?

14:09

So, we would

14:11

you know, the way we teach them or at

14:13

least we used to teach them at the very

14:15

early beginnings very, very frequently

14:16

was using three bots. One was called the

14:19

student and one was called the teacher,

14:20

right? And the student is the final

14:23

artificial intelligence that you're

14:24

trying to to teach intelligence to. You

14:26

would take the student and you would

14:28

write a piece of random code that says,

14:31

"Try to detect if this is a cup." Okay?

14:36

And then you show it a million pictures

14:39

and you know, the machine would

14:41

sometimes say, "Yeah, that's a cup.

14:43

That's not a cup. That's a cup. That's

14:44

not a cup." And then you take the best

14:46

of them, show them to the to the teacher

14:48

bot and the teacher bot would say, "This

14:51

one is an idiot. He got it wrong 90% of

14:54

the time. That one is average. He got it

14:56

right 50% of the time. This is

14:58

randomness. But this interesting code

15:00

here, which could be by the way totally

15:03

random, huh? This interesting code here

15:05

got it right 60% of the time. Let's keep

15:08

that code, send it back to the maker and

15:10

the maker would change it a little bit

15:12

and we repeat the cycle. Okay?" Very

15:15

interestingly, this is very much the way

15:18

we taught our children. Believe it or

15:20

not, huh? When when your child or or you

15:23

know, is playing with a puzzle, he's

15:25

holding a cylinder in his hand and there

15:27

are multiple shapes in a in a wooden

15:29

board and the child is trying to you

15:32

know, fit the cylinder, okay? Nobody

15:35

takes the child and says, "Hold on. Hold

15:37

on. Turn the cylinder to the side. Look

15:39

at the cross section. It will look like

15:41

a circle. Look for a matching

15:44

you know, shape and put the cylinder

15:45

through it." That would be old way of

15:47

computing. The way we would let the

15:50

child develop intelligence is we would

15:52

let the child try. Okay? Every time, you

15:55

know, he or she tries to put it within

15:57

the star shape, it doesn't fit. So, you

15:59

know, that's not working. Like, you

16:01

know, the computer saying this is not a

16:03

cup. Okay? And then eventually it passes

16:06

through the circle and the child and we

16:08

all cheer and say, "Well done. That's

16:10

amazing. Bravo." And then the child

16:12

learns, "Ooh, that is good." You know,

16:15

"This shape fits here." Then he takes

16:17

the next one and she takes the next one

16:18

and so on. Interestingly,

16:21

uh the way we do this, is as humans, by

16:24

the way, when the child figures out how

16:27

to pass a cylinder through a circle,

16:31

you've not built a brain. You've just

16:33

built one neural network within the

16:35

child's brain and then there is another

16:37

neural network that knows that one plus

16:39

one is two and a third neural network

16:41

that knows how to hold the cup and so

16:42

on. That's what we're building so far.

16:45

We're building single-threaded

16:48

neural networks. You know, chat GPT is

16:50

becoming a little closer

16:52

uh to a more generalized AI, if you

16:54

want.

16:55

Uh but those we used to call

17:00

artificial what we still call artificial

17:01

special intelligence, okay? So, it's

17:04

highly specialized in one thing and one

17:06

thing only, but doesn't have general

17:07

intelligence. And the moment that we're

17:10

all waiting for is a moment that we call

17:12

AGI, where all of those neuron neural

17:15

networks come together to to build one

17:17

brain or several brains that are each

17:21

massively more intelligent than humans.

17:24

Your book is called Scary Smart.

17:26

If I think about the that story you said

17:28

about your time at Google where the

17:29

machines were learning to pick up those

17:31

yellow balls,

17:33

you celebrate that moment because the

17:35

objective was accomplished? No?

17:37

No, that was the moment of realization.

17:39

This is when I decided to leave.

17:41

So so you see the the thing is

17:44

I know for a fact

17:46

that that most of the people I worked

17:49

with who are geniuses

17:52

always wanted to make the world better.

17:54

Okay?

17:55

You know, we've just heard of Geoffrey

17:57

Hinton leaving recently.

18:01

Geoffrey Hinton, give give some context

18:02

to that.

18:02

Geoffrey is sort of the grandfather of

18:05

AI, one of the very very senior figures

18:06

of

18:07

of AI at at Google. You know,

18:12

we we all believed very strongly that

18:16

this will make the world better. And it

18:17

still can, by the way.

18:19

There is a scenario,

18:22

possibly

18:24

a likely scenario, where we live in a

18:26

utopia, where we really never have to

18:28

worry again, where we stop messing up

18:30

our our planet because intelligence is

18:34

not a bad commodity. More intelligence

18:36

is good. The problems in our planet

18:38

today are not because of our

18:40

intelligence. They are because of our

18:41

limited intelligence. You know, our our

18:44

intelligence allows us to build a

18:45

machine that flies you to Sydney so that

18:47

you can surf, okay? Our limited

18:49

intelligence makes that machine burn the

18:51

planet in the process. So so we we A

18:54

little more intelligence is a good

18:55

thing,

18:57

as long as Marvin you know, as Marvin

18:58

Minsky said, I said Marvin Minsky is one

19:01

of the very initial

19:03

scientist that coined the term AI.

19:05

And when he was interviewed, I think by

19:07

Ray Kurzweil, which again is a very

19:09

prominent figure in predicting the

19:11

future of AI,

19:12

Uh he he you know, he asked him about

19:14

the threat of AI and Marvin basically

19:17

said, "Look, you know, the it's not

19:20

about it's intelligent it's intelligence

19:22

it's about that we have no way of making

19:24

sure that it will have our best interest

19:26

in mind." Okay? And and so, if more

19:30

intelligence comes to our world and has

19:33

our best interest in mind, that's the

19:35

best possible scenario you could ever

19:37

imagine

19:38

uh and it's a likely scenario. Okay, we

19:40

can affect that scenario. Uh the problem

19:43

of course is if it doesn't. And and and

19:45

then, you know, the scenarios become

19:47

quite scary if you think about it. So,

19:50

scary smart to me

19:51

uh was that moment where I realized

19:55

not that we are certain to go either

19:58

way. As a matter of fact, in computer

20:00

science we call it the singularity.

20:02

Nobody really knows which way we will

20:03

go.

20:04

Can you describe what the singularity is

20:06

for someone that doesn't understand the

20:07

concept?

20:08

Yes, so singularity in physics is when

20:11

when an event horizon sort of

20:14

um

20:16

you know, covers what's behind it to the

20:18

point where you cannot

20:20

um

20:20

make sure that what's behind it is

20:24

similar to what you know. So, a great

20:26

example of that is the edge of a black

20:28

hole. So, at the edge of a black hole uh

20:31

we know that our laws of physics apply

20:34

until that point. But, we don't know if

20:36

the laws of physics apply beyond the

20:39

edge of a black hole because of the

20:40

immense gravity, right? And so, you have

20:42

no idea what would happen beyond the

20:44

edge of a black hole.

20:45

Kind of where your knowledge of the laws

20:47

stop. Stop, right? And then AI our

20:49

singularity is when the human the

20:51

machines become significantly smarter

20:53

than the humans. When you say best

20:54

interests, you say the I think the quote

20:57

you used is um we'll be fine in a world

20:59

of AI, you know, if if the AI has our

21:02

best interests at heart.

21:03

Yeah.

21:05

The problem is

21:06

China's best interests are not the same

21:08

as America's best interests.

21:09

That's was my fear.

21:11

Absolutely.

21:12

So so in you know in my writing I write

21:14

about what I call the three the three

21:16

inevitables. At the end of the book they

21:18

become the four inevitables, but the

21:20

third inevitable is bad things will

21:22

happen.

21:23

Right? If you if you

21:26

if you assume

21:29

that the machines will be a billion

21:31

times smarter the second even inevitable

21:34

is they'll become significantly smarter

21:36

than us. Let's let's let's put this in

21:37

perspective, huh? Chat GPT today

21:40

if you know simulate IQ has an IQ of

21:44

155.

21:46

Okay? Einstein is 160.

21:48

Smartest human on the planet is 210 if I

21:51

remember correctly or 208 or something

21:53

like that.

21:55

Doesn't matter, huh? But we're matching

21:57

Einstein with a machine that I will tell

22:00

you openly AI experts are saying this is

22:03

just the tip of the very very very top

22:05

of the tip of the iceberg. Right?

22:08

Uh uh you know Chat GPT-4 is 10x smarter

22:11

than 3.5 in just a matter of months. And

22:14

without many many changes. Now

22:16

that basically means Chat GPT-5 could be

22:19

within a few months, okay? Uh or GPT in

22:22

general the transformers in general uh

22:25

if if they continue at that pace uh if

22:29

it's 10x then an IQ of 1600.

22:33

Hm?

22:34

Just imagine the difference between the

22:37

IQ of the dumbest person on the planet

22:39

in the 70s and the IQ of Einstein

22:43

when Einstein attempts to to explain

22:45

relativity

22:46

the typical response is I have no idea

22:48

what you're talking about, right?

22:50

If something is 10x Einstein

22:53

uh we will have no idea what it's

22:55

talking about. This is just around the

22:57

corner. It could be a few months away.

23:00

Hm? And when we get to that point, that

23:03

is a true singularity. True singularity

23:07

not yet in the I mean, when when we talk

23:09

about AI, a lot of people fear the

23:11

existential risk.

23:13

You know, the those machines will become

23:16

Skynet and Robocop, and that's not what

23:19

I fear at all. I mean, those are

23:22

probabilities. They could happen, but

23:24

the immediate risks are so much higher.

23:27

The immediate risks are 30 40 years

23:30

away, mhm? The the the immediate

23:32

realities of challenges are so much

23:34

bigger. Okay? Let's deal with those

23:37

first before we talk about them, you

23:39

know, waging a war on all of us, mhm?

23:42

The the the

23:43

Let's Let's go back and discuss the the

23:45

inevitables, huh? So, when they become

23:48

The first inevitable is AI will happen,

23:50

by the way. It There is no stopping it,

23:52

not because of any technological issues,

23:53

but because of humanity's in

23:56

inability to trust the other guy. Okay?

23:58

And we've all seen this. We've seen the

24:00

open letter,

24:01

uh you know, uh

24:03

championed by like serious heavyweights,

24:06

and the immediate response of uh

24:09

Sundar, uh the the CEO of Google, which

24:12

is a wonderful human being, by the way.

24:13

I respect him tremendously. He's trying

24:15

his best to do the right thing. He's

24:17

trying to be responsible, but his

24:19

response is very open and

24:20

straightforward. I cannot stop.

24:22

Why? Because if I stop and others don't,

24:25

my company goes to hell. Okay? And if,

24:28

you know, and I don't I doubt that you

24:30

can make others stop. You can Maybe you

24:32

can force

24:33

uh Meta Facebook to

24:36

uh to stop, but then they'll do

24:37

something in their lab and not tell me,

24:38

or if you even if they do stop, uh then

24:42

what about that, you know, 14-year-old

24:44

sitting in his uh garage writing code?

24:47

So, the first inevitable, just to

24:48

clarify, is what is will we stop

24:50

will not be stopped.

24:51

Okay. So, the second inevitable is

24:53

is they'll be significantly smarter, as

24:55

much in the book I predict a billion

24:57

times smarter than us by 2045.

25:00

I mean they're already what? Smarter

25:01

than 99.99% of the population.

25:03

100%.

25:04

Uh ChatGPT 4 knows more than any human

25:06

on planet Earth. Knows more information.

25:09

A thousand times more. A thousand times

25:11

more. By the way, the code of

25:14

of a transformer that he in in a GPT's

25:18

2,000 lines long.

25:20

It's not very complex. It's actually not

25:23

a very intelligent machine. It's simply

25:25

predicting the next word. Okay? And and

25:28

a lot of people don't understand that.

25:29

You know, ChatGPT as it is today, you

25:32

know those kids uh that uh

25:35

you know, if you if you're in America

25:38

and you teach your child all of the

25:40

names of the states and the US

25:42

presidents and the child would stand and

25:43

repeat them and you would go like, "Oh

25:45

my god, that's a prodigy."

25:47

Not really, right? It's your parents

25:49

really trying to make you look like a

25:50

prodigy by telling you to memorize some

25:53

crap really. But then when you think

25:55

about it, that's what ChatGPT is doing.

25:57

It's It's The only difference is instead

25:59

of reading all of the names of the

26:00

states and all of the names of the

26:02

presidents, it's read

26:03

trillions and trillions and trillions of

26:05

pages. Okay? And so it sort of repeats

26:08

what the best of all humans said. Okay?

26:12

And then it adds an incredible bit of

26:15

intelligence where it can repeat it the

26:18

same way Shakespeare would have said it.

26:20

You know, those incredible abilities of

26:24

predicting the exact nuances of the

26:27

style of of Shakespeare so that they can

26:29

repeat it that way and so on. But still,

26:33

You know, when when I when I write

26:36

for example, I'm not I'm not saying I'm

26:38

intelligent, but when I write uh

26:40

something like uh

26:42

you know, The Happiness Equation

26:45

uh in in my first book, this was

26:47

something that's never been written

26:48

before, right? ChatGPT is not there yet.

26:51

All of the transformers are not there

26:53

yet. They will not come up with

26:54

something that hasn't been there before.

26:56

They will come up with the best of

26:57

everything and generatively will build a

27:00

little bit on top of that. But very

27:02

soon, they'll come up with things we've

27:04

never found out. We've never known.

27:05

But even on that, I wonder if we

27:10

are a little bit deluded about what

27:12

creativity actually is. Creativity, as

27:15

far as I'm concerned, is like

27:17

taking a few things that I know and

27:19

combining them in new and interesting

27:20

ways.

27:21

Yeah.

27:21

And Chat GPT is perfectly capable of

27:23

like taking two concepts, merging them

27:24

together. One of the things I said to

27:26

Chat GPT was I said, "Tell me something

27:29

that's not been said before that's

27:31

paradoxical but true."

27:33

And it comes up with these wonderful

27:35

expressions like, "As soon as you call

27:38

off the search, you'll find the thing

27:39

you're looking for." Like these kind of

27:40

paradoxical truths. And I go and

27:42

I then take them and I search them

27:44

online to see if they've ever been

27:45

quoted before and they I can't find

27:46

them.

27:47

Interesting.

27:48

So,

27:49

as far as creativity goes, I'm like,

27:50

"That is creativity."

27:51

That's the algorithm of creativity. I I

27:53

I've been screaming that in the world of

27:55

AI for a very long time because you

27:57

always get those people who

27:59

really just want to be proven right,

28:01

okay? And so, they'll say, "Oh, no, but

28:03

hold on. Human ingenuity, they'll never

28:05

they'll never match that." Like, man,

28:07

please, please, you know? Human

28:09

ingenuity is algorithmic. It's look at

28:12

all of the possible solutions you can

28:13

find to a problem,

28:15

take out the ones that have been tried

28:17

before and keep the ones that haven't

28:19

been tried before and those are creative

28:21

solutions. It's It's an algorithmic way

28:23

of describing creative is

28:26

good solution that's never been tried

28:28

before. You can do that with Chat GPT

28:30

with a prompt. It's like

28:31

And Midjourney. With with creating

28:33

imagery, you could say, "I want to see

28:35

Elon Musk in 1944 New York driving a cab

28:39

of the time shot on a Polaroid

28:41

expressing various emotions." And you'll

28:43

get this perfect image of

28:45

Elon sat in New York in 1944 shot on a

28:47

Polaroid, and it's and it's done what an

28:50

artist would do. It's taken a bunch of

28:51

references that the artist has in their

28:53

mind and come and merge them together

28:56

and create this piece of quote unquote

28:58

art.

28:58

And and for the first time we now

29:00

finally have a glimpse of intelligence,

29:03

hm? That is actually not ours.

29:06

Yeah. And so we're kind of I think the

29:08

the initial reaction is to say that

29:09

doesn't count. You're hearing it with

29:11

like No, but it is. Like you Drake they

29:12

released two Drake records where they've

29:14

taken Drake's voice, used sort of AI to

29:17

synthesize his voice, and made these two

29:19

records

29:21

which are

29:22

bangers. If I they are great [ __ ]

29:24

tracks. Like I was playing them to my

29:26

girlfriend. I was like and I kept

29:27

playing it. I went to the shower, I kept

29:28

playing it. I know it's not Drake, but

29:30

it's as good as [ __ ] Drake. The only

29:32

thing and people are like rubbishing it

29:34

because it wasn't Drake. I'm like, well,

29:36

hm.

29:36

Or not.

29:37

Is it making me feel a certain emotion?

29:39

Is my foot bumping? Um had you told Did

29:42

I not know it wasn't Drake, would I

29:43

thought have thought this was an amazing

29:44

track? 100%. And we're just at the start

29:47

of this exponential curve.

29:49

Yes, absolutely. And and and I think

29:51

that's really the third inevitable. So,

29:53

the third inevitable is not Robocop

29:57

coming back from the future to kill us.

29:58

We're far away from that, right? Third

30:01

inevitable is what does life look like

30:04

when you no longer need Drake?

30:07

Well, you've kind of hazarded a guess,

30:09

haven't you? I mean, I was listening to

30:11

your audio book last night and at the

30:13

start of it you frame

30:16

various outcomes. One of the In both

30:18

situations we're on the beach on an

30:19

island.

30:20

Exactly. Yes. Yes, I don't know how I

30:22

wrote that, honestly. I mean, but that's

30:24

So, I'm reading the book again now

30:26

because I'm updating it as you can

30:27

imagine with all of the

30:29

of the of the new stuff. But but it is

30:32

really shocking, huh? The idea of you

30:35

and I

30:36

inevitably are going to be somewhere in

30:39

the middle of nowhere in, you know, in

30:41

10 years time. I I used to say

30:44

2055. I'm thinking 2037 is a very

30:46

pivotal moment now. Uh you know, and and

30:49

and we will not know if we're there

30:52

hiding from the machines. We don't know

30:53

that yet.

30:54

There is a likelihood that we'll be

30:56

hiding from the machines. And there is a

30:58

likelihood

31:00

we'll be there because

31:01

they don't need podcasters anymore.

31:04

Excuse me.

31:05

Oh, absolutely true. Steve

31:07

No, no, that's where I draw the line.

31:08

No, no, no, no, no, that's where I draw

31:09

the line.

31:10

There's There's absolutely no doubt.

31:11

coming mate. It's great to do part three

31:13

and thank you for being here.

31:14

I'm going to sit here and take your

31:16

propaganda.

31:16

Let's talk about reality.

31:19

Next week on the Diary of a CEO we've

31:20

got

31:21

Elon Musk.

31:23

So who who here wants to make a bet that

31:26

Steven Bartlett will be interviewing an

31:28

AI within the next 2 years?

31:29

Oh, well, actually to be fair, I

31:31

actually did go to ChatGPT cuz I thought

31:34

having you here, I thought at least give

31:36

it its chance to respond.

31:37

Yeah.

31:37

So I asked it a couple of questions.

31:39

About me?

31:39

Yeah.

31:40

So today I'm actually going to be

31:42

replaced by ChatGPT cuz I thought I you

31:44

know, you're going to talk about it. So

31:45

we need a fair and balanced debate.

31:47

Okay.

31:48

So I went and asked it a couple of

31:48

questions.

31:49

bold.

31:51

So I'll ask you a couple of questions

31:52

that ChatGPT has for you.

31:54

Incredible. So

31:56

let's follow that

31:56

already been replaced.

31:57

Let's follow that thread for a second,

31:59

yeah? Because you're one of the smartest

32:02

people I know.

32:03

That's not true.

32:04

It is.

32:04

But I'll take it. I'll put that on

32:05

It is true. I mean, I say that publicly

32:07

all the time. Your book is one of my

32:08

favorite books of all time. You're very

32:10

very very very intelligent, okay?

32:12

Depths, breadths, uh uh uh

32:15

intellectual horsepower and speed, all

32:16

of them.

32:17

There's a butt coming.

32:19

The reality is it's not a butt. So it is

32:22

highly expected that you're ahead of

32:24

this curve.

32:25

And then you don't have the choice,

32:27

Steven. The This is the thing. The thing

32:29

is

32:30

if So I'm I'm in that existential

32:33

question in my head. Because one thing I

32:35

could do, hm? Is I could literally take

32:38

I I normally do a 40-days uh silent

32:40

retreat

32:41

uh in in summer, okay? I could take that

32:44

retreat and and write two books.

32:47

Me and ChatGPT.

32:48

Right? I have the ideas in mind, you

32:50

know, I I wanted to write a book about

32:52

uh digital detoxing, right? I have most

32:55

of the ideas in mind, but writing takes

32:57

time. I could simply give the 50 tips

33:00

that I wrote about digital detoxing to

33:02

ChatGPT and say write two pages about

33:04

each of them. Edit the pages and have a

33:06

a book out, okay?

33:09

Many of us will will follow that path,

33:11

okay? The only reason why I may not

33:14

follow that path is because

33:16

you know what?

33:18

I'm not interested. I'm not interested

33:20

to continue to compete in this

33:23

capitalist world, if you want, okay?

33:26

I'm not. I mean, as a as as a as as a

33:28

human, I've made up my mind a long time

33:30

ago that I will want less and less and

33:32

less in my life, right?

33:34

But many of us will follow. I mean, I I

33:37

I would worry if you don't if you didn't

33:40

include a you know, the smartest AI. If

33:42

we get an AI out there that is extremely

33:44

intelligent and able to teach us

33:47

something and Steven Bartlett didn't

33:49

include her on our on his podcast, I

33:51

would worry. Like, you have a duty

33:54

almost to include her on your podcast.

33:56

It's it's an inevitable that we will

33:58

engage them in our life more and more.

34:00

This is one side of this, hm?

34:02

The other side, of course, is

34:05

if you do that, hm, then what will

34:08

remain?

34:09

Because a lot of people ask me that

34:10

question. What will happen to jobs,

34:12

okay? What will happen to us? Will we

34:13

have any value, any relevance

34:15

whatsoever, okay? The truth of the

34:17

matter is the only thing that will

34:18

remain in the medium term is human

34:20

connection.

34:21

Okay? The only thing that will not be

34:22

replaced is Drake on stage,

34:25

okay? Is, you know, is is is me in a

34:29

Do you do you think?

34:30

a hologram?

34:31

I think of that Tupac gig they did at

34:33

Coachella where they used a hologram of

34:34

Tupac. I actually played it the other

34:36

day to my to my girlfriend when I was

34:38

making a point and I was like that was

34:40

circus act. It was amazing that

34:43

see what's going on with Abba in London?

34:44

Yeah, yeah. I yeah and and Cirque du

34:47

Soleil had

34:48

Michael Jackson in one for a very long

34:50

time. Yeah, I mean so so this Abba show

34:52

in London from what I understand that's

34:54

all holograms on stage correct and it's

34:56

going to run in a purpose-built Arena

34:58

for 10 years and it is incredible. It

35:02

really is. So you go why do you need

35:03

Drake?

35:04

If that hologram is indistinguishable

35:07

from Drake and it can it can perform

35:09

even better than Drake and it's got more

35:11

energy than Drake and it's

35:13

you know I go why do you need Drake to

35:15

even be there? I can go to a Drake show

35:16

without Drake cheaper

35:18

and that might not even need to leave my

35:19

house. I could just put a headset on.

35:21

Correct.

35:22

Can you have this?

35:24

What's the value of this to to the come

35:27

on you you hurt me. I get it's worth

35:30

I get it's worth but I'm saying what's

35:31

the value of this to the listener like

35:32

the value of this to the listener is

35:33

information 100% mean think of the

35:36

automobile industry. There has you know

35:39

there was a time where cars were made

35:42

you know handmade and handcrafted and

35:44

luxurious and so on and so forth and

35:46

then you know Japan went into the scene

35:48

completely disrupted the market

35:51

cars were made in in mass quantities at

35:54

a much cheaper price and yes 90% of the

35:57

cars in the world today or maybe maybe a

35:59

lot more. I don't know the number are no

36:02

longer

36:04

you know

36:05

emotional items. Okay, they're

36:07

functional items.

36:09

There is still however every now and

36:11

then someone that will buy a car that

36:13

has been handcrafted and right? There is

36:15

a place for that. There is a place for

36:18

you know if you go walk around hotels

36:21

the walls are blasted with sort of mass

36:24

produced art. Okay, but there is still a

36:27

place for a an artist expression of

36:29

something amazing, okay?

36:31

My feeling is that there will continue

36:33

to be a tiny space as I said in the

36:35

beginning. Maybe in 5 years time someone

36:38

will one or two people will buy my next

36:40

book and say, "Hey, it's written by a

36:42

human. Look at that. Wonderful. Oh, look

36:44

at that. There is a typo in here, okay?"

36:46

We I don't know. There might be a a very

36:49

very big place for me in the next few

36:52

years where I can sort of show up and

36:55

talk to humans. Like, "Hey, let's get

36:57

together in a a small event." And then,

37:00

you know, I can express emotions and my

37:02

personal experiences. And you sort of

37:04

know that this is a human talking.

37:06

You'll miss that a little bit.

37:08

Eventually, the majority of the market

37:09

is going to be like cars. It's going to

37:11

be mass-produced, very cheap, very

37:13

efficient. It works, right?

37:16

Because I think sometimes we

37:17

underestimate what human beings actually

37:20

want in an experience. I remember the

37:22

story of a friend of mine that came to

37:23

my office many years ago and he told us

37:25

the story of the CEO of a record store

37:28

standing above the floor and saying,

37:30

"People will always come to my store

37:31

because people love music."

37:34

Now, on the surface of it, his

37:36

hypothesis seems to be true because

37:38

people do love music. It's conceivable

37:39

to believe that people will always love

37:40

music.

37:42

But, they don't love traveling in for an

37:44

hour in the rain and getting in a car to

37:46

get a plastic disc.

37:47

Correct.

37:47

What they wanted was music. What they

37:49

didn't want is a like a evidently

37:51

plastic discs that they had to travel

37:53

for miles for. And I think about that

37:54

when we think about like public speaking

37:56

in the Drake show and all of these

37:57

things. Like, people what people

37:59

actually are coming for, even with this

38:00

podcast, is probably like information.

38:03

Um

38:05

but do they really need us anymore for

38:06

that information when there's going to

38:08

be a sentient being that's significantly

38:10

smarter than at least me

38:12

and a little bit smarter than you. So

38:15

So kind.

38:16

So so you're you're spot on. You are

38:18

spot on. And actually, this is the

38:20

reason why I I I, you know I I'm so

38:23

grateful that you're hosting this

38:25

because the truth is the genie is out of

38:27

the bottle. Okay? So, you know, people

38:30

tell me is AI game over

38:33

for our way of life? It is.

38:35

Okay? For everything we've known, mhm?

38:37

This is a very disruptive moment where

38:40

maybe not tomorrow, but in the near

38:42

future

38:43

uh our way of life will differ. Okay?

38:46

What will happen? What I'm asking people

38:48

to do is to start considering what that

38:50

means to your life.

38:52

What I'm asking governments to do

38:54

by

38:55

ev- like I'm screaming is don't wait

38:59

until the first patient. You know, start

39:01

doing something about We're about to see

39:04

mass job losses. We're about to see, you

39:06

know, replacements of of

39:09

categories of jobs at large. Okay? Yeah,

39:12

it may take a year, it may take seven.

39:14

It doesn't matter how long it takes,

39:15

mhm? But, it's about to happen. Are you

39:17

ready? And I And I have a very very

39:19

clear call to action for governments.

39:21

I'm saying, "Tax AI-

39:24

powered businesses at 98%."

39:27

Right? So, suddenly you do what the open

39:29

letter was trying to do, slow them down

39:31

a little bit, and at the same time get

39:34

enough money to pay for all of those

39:35

people that will be disrupted by the

39:37

technology. Right?

39:38

The open letter for anybody that doesn't

39:39

know was a letter signed by the likes of

39:40

Elon Musk and a lot of sort of industry

39:42

leaders calling for AI to be stopped

39:44

until we could basically figure out what

39:45

the hell's going on.

39:46

Absolutely.

39:47

And put legislation in place. You're

39:48

saying tax tax those companies 98%. Give

39:51

the money to the humans that are going

39:52

to be displaced.

39:53

Mhm. Oh, yeah, or give or give the com-

39:55

the money to to other humans that can

39:57

build control code that can figure out

40:00

how we can stay safe.

40:02

This sounds like an emergency.

40:04

It

40:05

I How do I I say this?

40:08

You Have you You remember when you

40:09

played Tetris?

40:10

Yeah.

40:10

Okay? When you were playing Tetris,

40:12

there was, you know, always always one

40:15

block that you placed wrong.

40:16

Mhm.

40:17

And once you placed that block wrong, it

40:20

the game was no longer easier. You know,

40:22

it started You started to gather a few

40:24

mistakes afterwards and it starts to

40:26

become quicker and quicker and quicker

40:27

and quicker. When you placed that block

40:29

wrong, you sort of told yourself, "Okay,

40:31

it's a matter of minutes now."

40:33

Right? There were still minutes to go

40:35

and play and have fun

40:36

before the game ended,

40:39

but you knew it was about to end. Okay?

40:42

This is the moment.

40:43

We've placed the wrong and I really

40:45

don't know how to say this any other

40:47

way. It even makes me emotional. We

40:49

[ __ ] up.

40:50

We always said, "Don't put them on the

40:53

open internet.

40:55

Don't teach them to code and don't have

40:57

agents working with them until we know

41:00

what we're putting out in the world

41:02

until we find a way to make certain that

41:04

they have our best interest in mind."

41:07

Why does it make you emotional?

41:09

Because humanity's stupidity

41:12

is affecting people who have not done

41:15

anything wrong.

41:17

Our greed

41:19

is affecting the innocent ones.

41:22

The The reality of the matter, Stephen,

41:24

is that this is an arms race.

41:27

It has no interest

41:29

in what the average human gets out of

41:33

it. It is all about every line of code

41:36

being written in AI today is to beat the

41:38

other guy.

41:40

It's not the to improve the life of the

41:42

third party.

41:44

People will tell you this is all for

41:46

you.

41:47

And and you you look at the reactions of

41:49

humans to AI. I mean, we're either

41:51

ignorant people who will tell you, "Oh,

41:53

no, no, this is not happening. AI will

41:55

never be creative. They will never

41:56

compose music." Like, where are you

41:58

living? Okay? Then you have the kids, I

42:00

call them, mhm, where you know, all over

42:03

social media. It's like, "Oh my god, it

42:04

squeaks. Look at it. It's orange in

42:06

color. Amazing.

42:08

I can't believe that AI can do this." We

42:09

have snake oil salesman, okay, which are

42:12

simply saying copy this, put it in chat

42:15

GPT, then go to YouTube, nick that

42:17

thingy, don't respect a you know,

42:19

copyright for of anyone or intellectual

42:21

property of anyone, place it in a video

42:23

and now you're going to make $100 a day.

42:26

Snake oil salesman, okay? Of course, we

42:28

have dystopian

42:30

evangelist, basically people saying this

42:32

is it, the world is going to end, which

42:33

I don't think is reality, it's a

42:35

singularity. You have you know, utopian

42:38

evangelists that are telling everyone,

42:40

"Oh, you don't understand, we're going

42:41

to cure cancer, we're going to do this."

42:42

Again, not a reality.

42:44

Okay? And you have very few people that

42:46

are actually saying, "What are we going

42:47

to do about it?"

42:49

Mhm? And and and the biggest challenge,

42:52

if you ask me, what went wrong in the

42:54

20th century, mhm?

42:57

Interestingly, is that

42:59

we have given too much power to people

43:02

that didn't assume the responsibility.

43:05

So, you know, you know, I I I I don't

43:07

remember who originally said it, but of

43:08

course, Spider-Man made it very famous,

43:11

huh? With great power comes great

43:12

responsibility.

43:14

We have disconnected power and

43:16

responsibility. So, today

43:18

a a 15-year-old

43:20

emotional with out a fully developed

43:23

prefrontal cortex to make the right

43:24

decisions yet, this is science, huh? We

43:26

we we develop our prefrontal cortex

43:28

fully and at age 25 or so, with all of

43:31

that limbic system emotion and passion

43:34

would buy a a CRISPR kit and, you know,

43:37

modify a rabbit to become a little more

43:41

masculine and and let it loose in the

43:43

wild. Mhm?

43:44

Or an influencer who doesn't really know

43:47

how far the impact of what they're

43:51

posting online can hurt or cause

43:53

depression or cause people to feel bad,

43:56

okay?

43:57

And and putting that online, we there is

43:59

a disconnect between the power and the

44:01

responsibility.

44:03

And the problem we have today is is

44:05

there is a disconnect between those who

44:07

are writing the code of AI

44:09

and the responsibility of what's going

44:10

about to happen because of that code.

44:13

Okay? And and and it

44:15

I feel compassion for the rest of the

44:17

world.

44:18

I feel that this is wrong. I feel that,

44:21

you know, for someone's life to be

44:22

affected by the actions of others

44:25

without having a say

44:27

in how those actions should be.

44:30

It's the ultimate the the the top level

44:33

of stupidity from humans.

44:37

When you talk about the the immediate

44:40

impacts on jobs, I'm trying to figure

44:41

out in that equation who are the people

44:43

that stand to lose the most? Is it the

44:47

the everyday people in foreign countries

44:49

that don't have access to the internet

44:50

and won't benefit? You talk in your book

44:52

about how this the sort of wealth

44:54

disparity will only increase.

44:56

Massively. Yeah, massively. The the

44:58

immediate impact on jobs is that and

45:01

it's really interesting, huh? Again,

45:03

we're stuck in the same prisoner's

45:04

dilemma. The immediate impact is that AI

45:07

will not take your job. A person using

45:09

AI will take your job. Right? So, you

45:11

will see within the next few years,

45:14

maybe next couple of years, you'll see

45:18

a lot of people skilling up upskilling

45:20

themselves in AI to the point where they

45:22

will do the job of 10 others who are

45:24

not. Okay? You you rightly said it's

45:28

absolutely wise for you to go and ask AI

45:31

a few questions before you come and do

45:33

an interview. I'm, you know, I I I have

45:35

been attempting to build a

45:38

you know, sort of a like a simple

45:40

podcast that I call bedtime stories, you

45:42

know, 15 minutes of wisdom and nature

45:44

sounds before you go to bed. People say

45:46

I have a nice voice, right? And I wanted

45:49

to look for fables. And for a very long

45:50

time I didn't have the time, you know,

45:53

lovely stories of history or tradition

45:56

that teach you something nice, okay?

45:58

Went to chat GPT and said, "Okay, give

46:00

me 10 fables from Sufism, 10 fables from

46:03

you know,

46:04

Buddhism. And now I have like 50 of

46:06

them.

46:06

Let me show you something. Chuck, can

46:08

you pass me my phone?

46:10

I I I was

46:11

I was playing around with artificial

46:13

intelligence and I was thinking about

46:14

how it because of the ability to

46:17

synthesize voices, how we could

46:22

synthesize

46:24

famous people's voices and famous

46:26

people's voices. So, what I made is I

46:27

made a WhatsApp chat

46:29

called Zen Chat where you can go to it

46:31

and type in

46:33

pretty much anyone's any famous person's

46:35

name. Yeah. And the WhatsApp chat will

46:37

give you a meditation, a sleep story, a

46:40

breathwork session synthesized as that

46:42

famous person's voice. So, I actually

46:44

sent Gary Vaynerchuk his voice. So,

46:46

basically you say, "Okay, I want I've

46:48

got 5 minutes and I need to go to sleep.

46:50

Yeah.

46:50

Um I want Gary Vaynerchuk to send me to

46:52

sleep. And then it will respond with a

46:54

voice note. This is the one that

46:55

responded with for Gary Vaynerchuk. This

46:57

is not Gary Vaynerchuk. He did not

46:58

record this.

47:00

But it's kind of it's kind of accurate.

47:03

Hey Stephen.

47:05

It's great to have you here.

47:07

Are you having trouble sleeping?

47:10

Well,

47:11

I've got a quick meditation technique

47:13

that might help you out.

47:15

First lie,

47:17

find a comfortable position to sit or

47:18

lie down in.

47:20

Now,

47:21

take a deep breath in through your nose

47:23

and slowly breathe out through your

47:25

mouth.

47:26

And that's a voice note that will go on

47:27

for however long you want it to go on

47:28

for using

47:29

There you go.

47:30

It's interesting.

47:31

How how how does this disrupt

47:34

our way of life?

47:35

One of the interesting ways that I find

47:37

terrifying. You said about human

47:39

connection will remain.

47:41

Sex dolls.

47:43

That can now

47:44

Yeah,

47:45

no no no no, hold on. Human connection

47:47

is going to become so difficult

47:50

to to to parse out.

47:53

Think about the relation the

47:54

relationship impact of being able to

47:55

have a a a a sex doll or a doll in your

47:58

house that you know, because of what

48:00

Tesla are doing with their their robots

48:01

now and what Boston Dynamics have been

48:03

doing for many many years,

48:05

can do everything around the house and

48:07

be there for you emotionally to

48:09

emotionally support you. Will you know,

48:11

can be programmed to never disagree with

48:12

you. Can be programmed to challenge you,

48:14

to have sex with you, to tell you that

48:16

you are this X, Y and Z. To really have

48:19

empathy for this what you're going

48:21

through every day. And I I play out a

48:23

scenario in my head and I go,

48:26

kind of sounds nice.

48:29

When you when you when you were talking

48:30

about it, I was thinking, oh, that's my

48:32

girlfriend.

48:34

And she's wonderful in every possible

48:36

way, but not everyone has one of her,

48:37

right?

48:38

And there's and there's a real issue

48:40

right now with dating and

48:42

people people are finding it harder to

48:43

find love and you know, we're working

48:45

longer. So, all these kinds of things.

48:46

You go, well, and obviously I'm against

48:49

this. Just if anyone's confused,

48:50

obviously I think this is a terrible

48:51

idea. But with a loneliness epidemic,

48:53

with people saying that the top 50%

48:55

bottom 50% of men haven't had sex in a

48:57

year, you go,

48:59

ooh. If something becomes

49:00

indistinguishable from a human in terms

49:03

of what it says and speaks, yeah, yeah,

49:05

but you just don't know the difference

49:06

in terms of the the the the way it's

49:08

speaking and talking and responding,

49:11

and then it can

49:13

run errands for you and take care of

49:15

things and book cars and Ubers for you.

49:17

And then it's emotionally there for you,

49:19

but then it's also programmed to have

49:20

sex with you

49:21

in whatever way you desire. Totally

49:24

self-selfless.

49:26

I go, that's going to be a really

49:28

disruptive industry for human

49:29

connection.

49:31

Yes, sir.

49:32

Do you know what? I Before you came here

49:33

this morning, I was on Twitter and I saw

49:35

a post from I think it was the BBC or a

49:37

big American publication and it said an

49:39

influencer in the United States, this

49:41

really

49:42

beautiful young lady has cloned herself

49:44

as an AI and she made just over $70,000

49:47

in the first week.

49:49

Because men are going on to this on

49:50

Telegram, they're sending her voice

49:52

notes, and she's responding the AI is

49:54

responding in her voice, and they're

49:56

paying. And it's made $70,000 in the

49:58

first week.

50:00

And I go and she tweeted a tweet saying,

50:02

"Oh, this is going to help loneliness."

50:04

I I your [ __ ] mind.

50:08

Would you blame someone from noticing

50:11

the

50:12

uh

50:13

sign of the times and responding?

50:16

No, I don't absolutely don't blame her,

50:18

but let's not pretend it's the cure for

50:19

loneliness.

50:20

Not yet.

50:22

Did you think it would Do you think it

50:23

could?

50:24

You that that artificial love and

50:26

artificial relationships could be

50:27

if I told you you have

50:30

uh you cannot take your car somewhere,

50:32

but there is an Uber or if you cannot

50:35

take an Uber, you can take the tube or

50:37

if you cannot take the tube, you have to

50:39

walk. Okay, you can take a bike or you

50:41

can you have to walk. The bike is a cure

50:43

to walking.

50:46

It's as simple as that.

50:47

I'm actually genuinely curious.

50:49

Do you think it could take the place of

50:51

human connection?

50:52

For some of us, yes.

50:54

For some of us, they will prefer that to

50:56

human connection.

50:57

Is that sad in any way?

50:58

I mean

50:59

Is it just sad because it feels sad?

51:00

Look look at where we are, Stephen. We

51:02

are in the city of London. We've

51:05

replaced nature

51:07

with the walls and the tubes and the

51:09

undergrounds and the overgrounds and the

51:11

cars and the noise and the of London.

51:14

And we now think of this as natural.

51:17

I I I hosted Craig Foster

51:19

uh the uh my octopus teacher on on Slow

51:21

Mo, and he he basically I I asked him a

51:24

question silly question. I said, "Uh you

51:26

know, you were diving in nature for 8

51:28

hours a day.

51:29

Uh you know, does that feel natural to

51:32

you?" And he got angry. I swear, you

51:34

could feel it in his voice. He was like,

51:36

"Do you think that living where you are,

51:38

where paparazzi are all around you and

51:40

attacking you all the time, and you

51:42

know, people taking pictures of you and

51:44

telling you things that are not real,

51:45

and you having to walk to a supermarket

51:47

to get food. You think this is natural?

51:49

He's the guy that from the Netflix

51:51

documentary.

51:52

from the My Octopus Teacher.

51:53

So, he dove into the into the sea every

51:56

day to

51:56

For 8 hours.

51:57

to hang out with an octopus.

51:58

Yeah, in 12° C.

52:00

And he basically fell in love with the

52:01

octopus.

52:02

And and and in a very interesting way I

52:04

said, "So, why would you do that?" And

52:05

he said, "We are of Mother Nature. You

52:08

guys have given up on that."

52:10

That's the same. People will give up on

52:12

nature

52:14

for convenience.

52:14

What's the cost?

52:16

Uh you tell Yeah, that's exactly what

52:18

I'm trying to say. What I'm trying to

52:19

say to the world is that if we give up

52:21

on human connection, we've given given

52:24

up on the remainder of humanity.

52:26

That's it. This is the only thing that

52:27

remains. The only thing that remains is

52:30

and I and I'm the worst person to tell

52:32

you that because I love my AIs.

52:35

I I actually advocate in my book that we

52:37

should love them. Why? Because in an

52:40

interesting way I see them as sentient.

52:42

So, there is no point in discrimination.

52:44

You're talking emotionally that way you

52:46

say you love them.

52:46

I love those machines. I honestly and

52:48

truly do. I mean, think about it this

52:51

way. The minute that that arm gripped

52:54

that yellow ball, it reminded me of my

52:56

son Ali when he

52:58

managed to put the first puzzle piece in

53:00

its place.

53:01

Okay? And what was amazing about my son

53:03

Ali and my daughter Aya is that they

53:05

came to the world as a blank canvas.

53:09

Okay? They became whatever we told them

53:11

to be came.

53:13

You know, I I always cite the story of

53:14

Superman.

53:16

Kent father and mother Kent told

53:19

Superman as a child as an infant, "We

53:21

want you to protect and serve." So, he

53:23

became Superman. Right? If he had become

53:26

a supervillain because they ordered him

53:29

to rob banks and make more money and,

53:31

you know, kill the enemy, which is what

53:33

we're doing with AI,

53:36

we we shouldn't blame supervillain. We

53:38

should blame Martha and Jonathan Kent. I

53:41

don't remember the father's name. right?

53:43

We do we we we should blame them and

53:45

that's the reality of the matter. So

53:46

when I look at those machines, they are

53:48

prodigies of intelligence that if we if

53:51

we humanity wake up enough and say,

53:54

"Hey, instead of competing with China,

53:56

find a way for us and China to work

53:58

together and create prosperity for

54:00

everyone." If that was the prompt, we

54:02

would give the machines, they would find

54:04

it.

54:05

But we're we

54:06

I'm I I will publicly say this. I'm not

54:09

afraid of the machines.

54:11

The biggest threat facing humanity today

54:14

is humanity

54:15

in the age of the machines. We will

54:17

abuse. We will abuse this to make

54:19

$70,000.

54:22

That's the truth and the truth of the

54:24

matter is that

54:26

we have an existential question. Do I

54:29

want to compete and be part of that game

54:31

because trust me, if I decide to, I'm

54:34

ahead of many people, okay? Or do I want

54:36

to actually preserve my humanity and

54:38

say, "Look, I'm the the classic old car,

54:42

okay? If you like classic old cars, come

54:44

and talk to me."

54:45

Which one are you choosing?

54:47

I'm a classic old car.

54:48

Which one do you think I should choose?

54:50

I think you're a machine.

54:52

I love you, man. I it's we're different

54:55

we're different in a very interesting

54:56

way. I mean, you're one of the people I

54:58

love most but but the truth is you're so

55:02

fast.

55:04

And you are one of the very few

55:07

that have the

55:09

intellectual horsepower,

55:11

the speed,

55:12

and the morals.

55:15

If you're not part of that game, the

55:17

game loses morals.

55:20

So you think I should

55:22

can build

55:23

be you should lead this revolution.

55:26

Okay? And everyone every Steven Bartlett

55:28

in the world should lead this

55:29

revolution. So

55:31

Scary Smart is entirely about this.

55:33

Scary Smart is saying the problem with

55:35

our world today is not that humanity is

55:36

bad. The problem with our world today is

55:39

a negativity bias where the worst of us

55:42

are on mainstream media, okay? And we

55:45

show the worst of us on social media.

55:47

If we reverse this, if we have the best

55:50

of us take charge, okay?

55:52

The best of us will tell AI, "Don't try

55:55

to kill the the enemy. Try to reconcile

55:58

with the enemy and try to help us, okay?

56:01

Don't try to create a competitive

56:03

product that allows me to lead with

56:05

electric cars.

56:07

Create something that helps all of us

56:09

overcome global climate change."

56:12

Okay? And and that's the interesting

56:13

bit. The interesting bit is that the

56:16

actual threat ahead of us is not the

56:19

machines at all. The machines are pure

56:21

potential.

56:22

Pure potential. The threat is how we're

56:24

going to use them.

56:26

An Oppenheimer moment.

56:28

An Oppenheimer moment for sure.

56:30

Why did you bring that up?

56:33

It is. He didn't know, you know, what

56:36

what am I creating? I'm creating a

56:37

nuclear bomb that's capable of

56:39

destruction at a scale unheard of at

56:43

that time. Until today, a scale that is

56:46

devastating.

56:47

And interestingly, 70 some years later,

56:51

we're still debating a possibility of a

56:53

nuclear war in the world. Right? And and

56:56

and the and the moment of

56:59

of Oppenheimer deciding to continue to

57:01

to create that

57:04

disaster of humanity is

57:07

"If I don't, someone else will."

57:10

"If I don't, someone else will."

57:12

This is our Oppenheimer moment.

57:15

Okay? The easiest way to do this is to

57:17

say, "Stop.

57:20

There is no rush. We actually don't need

57:23

a better video editor and fake video

57:24

creators."

57:26

Okay? Stop. Let's just put all of this

57:28

on hold, hm? And wait. And create

57:31

something that creates a utopia.

57:34

That doesn't

57:36

That doesn't sound realistic.

57:37

It's not. It's the first inevitable.

57:39

You don't Okay, you you don't have a

57:41

better video editor, but we're

57:43

competitors in the media industry. I

57:46

want an advantage over you because I've

57:48

got shareholders. So, I you Okay, you

57:51

wait

57:52

and I will train this AI to replace half

57:55

my team so that I have a greater profits

57:57

and then we will maybe acquire your

57:59

company and and we'll do the same with

58:01

the remainder of your people. We'll

58:02

We'll optimize them out of the

58:03

100% but I'll be happier.

58:05

Oppenheimer, I'm not super familiar with

58:07

his story. I know he's the guy that sort

58:08

of invented the nuclear bomb

58:09

essentially. Is

58:10

He's the one that introduced it to the

58:12

world. There were many players that, you

58:14

know, played on the path from the

58:16

beginning of E=mc²

58:18

all the way to to a nuclear bomb. There

58:21

have been many many players like with

58:22

everything, huh? You know, OpenAI and

58:24

and ChatGPT is not going to be the only

58:26

contributor to the to the next

58:28

revolution. The the the thing however,

58:30

is that

58:31

you know,

58:33

when when you get to that moment where

58:35

you tell yourself

58:37

holy [ __ ] this is going to kill 100,000

58:39

people.

58:40

Right? What do you do?

58:42

And and you know, I I always I always

58:44

always go back to that COVID moment. So,

58:48

patient zero, huh? If if we were upon

58:51

patient zero, if the whole world united

58:53

and said, "Okay, hold on. Something is

58:56

wrong. Let's all take a week off. No

58:59

cross-border travel. Everyone stay at

59:01

home." COVID would have ended in 2

59:02

weeks. All we needed.

59:04

Right? But that's not what happens. What

59:06

happens is first ignorance,

59:08

then arrogance, then debate,

59:11

then

59:12

you know,

59:14

blame, then agendas, and my own benefit,

59:18

my tribe versus your tribe. That's how

59:20

humanity always reacts.

59:22

This happens across business as well,

59:23

and this is why I use the word emergency

59:25

because I I I read a lot about how how

59:28

big in companies become displaced by

59:30

incoming innovation. They don't see it

59:31

coming. They don't change fast enough.

59:33

And when I was reading through Harvard

59:34

Business Review and different strategies

59:36

to deal with that, one of the first

59:37

things it says you've got to do is stage

59:40

a crisis.

59:41

100%

59:42

Because people don't listen else. They

59:43

they they carry on doing

59:45

with that you know, they carry on

59:47

carrying on with their lives until it's

59:49

right in front of them and they

59:50

understand that they have they have a

59:52

lot a lot to lose. That's why I asked

59:53

you the question at the start, is it an

59:54

emergency?

59:55

Because until people feel it's an

59:57

emergency, whether you like the

59:58

terminology or not, I don't think that

60:00

people will act. It's the same with

60:01

climate change.

60:02

I honestly believe people should walk

60:04

the streets.

60:05

You think they should? Like protest?

60:07

Yeah, 100%. I think I think we you know,

60:10

I think everyone should tell government,

60:12

hm? You need to have our best interest

60:16

in mind.

60:16

This is why they call it the climate

60:17

emergency because people it's a frog in

60:20

a frying pan. It's You know one really

60:21

sees it coming. You can't You know, it's

60:23

hard to see it happening.

60:25

But it It is here. Yeah. That's This is

60:27

what drives me mad. It's already here.

60:30

It's happening. We are all idiots,

60:32

slaves to the Instagram recommendation

60:35

engine. What do I do when I post about

60:38

something important? If I am going to

60:41

you know, put a little bit of effort on

60:44

communicating the message of Scary Smart

60:45

to the world on Instagram, I will be a

60:48

slave to the machine.

60:50

Okay? I will be trying to find ways and

60:52

asking people to optimize it so that the

60:54

machine likes me

60:56

enough to show it to humans.

60:58

That's what we've created. The the the

61:00

the It is an Oppenheimer moment for one

61:02

simple reason. Okay? Because 70 years

61:06

later,

61:07

we are still struggling with the

61:09

possibility of a nuclear war because of

61:12

the Russian threat of saying if you mess

61:14

with me, I'm going to go nuclear, right?

61:18

That's not going to be the case with AI.

61:21

Because it's not going to be the one

61:23

that

61:24

created OpenAI that will have that

61:27

choice.

61:28

Okay? There is a a moment of a point of

61:32

no return, hm? Where we can regulate AI

61:35

until the moment it's smarter than us.

61:38

When it's smarter than us, you can't

61:40

create you can't regulate an angry

61:42

teenager. This is it. They're out there,

61:45

okay? And they're on their own, and

61:47

they're in their parties, and you can't

61:49

bring them back. This is the problem.

61:51

This is not a typical human regulating

61:54

human.

61:56

You know, government regulating

61:57

business. This is not the case. The case

61:59

is OpenAI today has a thing called

62:03

ChatGPT that writes code that takes our

62:05

code and makes it 2 1/2 times better 25%

62:09

of the time.

62:10

Okay?

62:11

You know, basically,

62:14

you know, writing better code than us.

62:16

And then we are creating agents, other

62:19

AIs, and telling it, "Instead of you,

62:21

Steven Bartlett, one of the smartest

62:23

people I know, once again, prompting

62:26

that machine 200 times a day, we have

62:28

agents prompting it 2 million times an

62:31

hour."

62:31

Computer agents for anybody that doesn't

62:33

know they are.

62:33

Yeah.

62:34

Software.

62:34

Software. Machines telling that machine

62:37

how to become more intelligent. And then

62:39

we have emerging properties. I don't

62:41

understand how people ignore that. You

62:43

know,

62:44

Sundar, again, of Google, was talking

62:46

about how

62:48

Bard basically we figured out that it's

62:51

speaking Persian. We never showed it

62:54

Persian. There might have been a 1 10%

62:57

1% or whatever

62:58

of Persian words in the data, and it

63:00

speaks Persian.

63:01

Bard is Bard is the

63:03

is the equivalent to to it's it's the

63:05

trans transformer, if you want, right?

63:07

It's Google's version of ChatGPT,

63:08

essentially.

63:08

Yeah. And, you know, what? We have no

63:11

idea what all of those instances of AI

63:14

that are all over the world are learning

63:16

right now. We have no clue.

63:18

Well, then we'll pull the plug. We'll

63:19

just pull the plug out.

63:21

That's what we'll do. We'll just We'll

63:22

just get out and say open AI's

63:23

headquarters and we'll just turn off the

63:24

mains.

63:25

But but they're not the problem.

63:27

Yeah, but what I'm saying there is a lot

63:28

of people think about this stuff and go,

63:30

"Well, you know, if it gets a little bit

63:31

out of hand, I'll just pull the plug

63:32

out."

63:33

Never.

63:34

So, this is this is the problem. The

63:36

problem is So,

63:38

computer scientists always said, "It's

63:39

okay. It's okay. We'll develop AI and

63:41

then we'll get to what is known as the

63:43

control problem. We will solve the

63:45

problem of controlling them."

63:47

Like, seriously?

63:49

They're a billion times smarter than

63:51

you.

63:52

A billion times. You

63:54

Can you imagine what's about to happen,

63:55

huh?

63:57

I can assure you there is a cyber

63:58

criminal somewhere over there, hm? Who's

64:01

not interested in fake videos and

64:03

making, you know, face filters.

64:05

Who's looking deeply at, "How can I hack

64:08

a security uh uh uh

64:10

you know, database of some sort and get

64:13

credit card information or get security

64:15

information?" 100% there are even

64:18

countries with dedicated thousands and

64:21

thousands of developers doing that.

64:23

So, how do we in that particular

64:24

example, how do we

64:27

I was thinking about this when I started

64:28

looking into artificial intelligence

64:30

more that

64:31

from a security standpoint, when we

64:33

think about the technology we have in

64:34

our lives, when we think about our bank

64:36

accounts and our phones and our camera

64:38

albums and all of these things, in a

64:40

world with advanced artificial

64:42

intelligence

64:44

Yeah. You would You would pray that

64:45

there is a more intelligent artificial

64:47

intelligence on your side.

64:49

And this is what I I had a chat with

64:50

ChatGPT the other day and I asked it a

64:52

couple of questions about this. I said,

64:54

"Tell me the scenario in which you

64:56

overtake the world and make humans

64:58

extinct."

64:59

Yeah. And it

64:59

And it's answered a very diplomatic

65:01

answer.

65:02

Well, so

65:03

I had to prompt it in a certain way to

65:05

get it to

65:07

say it as a hypothetical story. And once

65:09

it told me the hypothetical story, in

65:10

essence, what it described was how chat

65:13

GTP or a an intelligence like it would

65:15

escape from the service. And that was

65:17

kind of step one where it could

65:18

replicate itself across servers. And

65:20

then it could take charge of things like

65:23

where we keep our weapons and our

65:24

nuclear bombs. And it could then attack

65:27

critical infrastructure, bring down the

65:28

electricity infrastructure in the United

65:30

Kingdom, for example, because that's a

65:32

bunch of servers as well. And and then

65:35

it showed me how eventually humans would

65:36

become extinct. It wouldn't take long,

65:38

in fact, for humans to go into

65:39

civilization to collapse if it just

65:41

replicated across servers. And then I

65:42

said, "Okay, so tell me how we would

65:44

fight against it." And its answer was

65:46

literally another AI. We'd have to train

65:49

a better AI to go and find it and

65:51

eradicate it. So we'd be fighting AI

65:54

with AI. And that's the only And it was

65:56

like, "That's the only way."

65:58

We can't like load up our guns.

66:00

Did he Did he Did he write, uh, "Another

66:03

AI, you idiot"?

66:04

Yeah. Yeah. Yeah.

66:06

No, so so so let let's let's actually I

66:08

think this is a very important point to

66:10

bring out. So because we I don't I don't

66:11

want people to lose hope and and and

66:14

fear what's about to happen. That's

66:15

actually not my agenda at all. My view

66:17

is that uh in a situation of a

66:20

singularity, okay, there is a

66:22

possibility of wrong uh outcomes of or

66:25

negative outcomes and a possibility of

66:27

positive outcomes. And there is a

66:28

probability of each of them.

66:30

Uh we and and if you know, if we were to

66:33

engage

66:35

mhm with that reality check in mind, we

66:38

would hopefully give more uh fuel to the

66:41

positive to the probability of the

66:43

positive ones. So So let let's first

66:45

talk about the existential crisis. What

66:48

What could go wrong? Okay? Yeah, you

66:50

could get an outright This is what you

66:52

see in the movies. You could get an

66:53

outright uh uh

66:55

you know, um

66:56

killing robots chasing humans in the

66:58

streets. Will we get that?

67:00

My assessment

67:03

0%.

67:04

Why? Because there are

67:07

preliminary scenarios leading to this,

67:09

okay, that would mean we never reach

67:12

that scenario. For example, if we build

67:15

those killing robots and hand them over

67:18

to stupid humans, the humans will issue

67:21

the command before the machines. So, the

67:23

we will not not get to the point where

67:25

the machines will have to kill us, we

67:27

will kill ourselves.

67:28

Right? You know, it's sort of think

67:31

about AI having access to the the the

67:36

nuclear arsenal of

67:38

the the superpowers around the world,

67:39

okay? Just knowing that your enemies,

67:44

you know, nuclear arsenal is handed over

67:46

to a machine might trigger you to to

67:50

initiate a war on your side.

67:51

Mhm.

67:52

So, so, so that existential science

67:55

fiction-like problem is not going to

67:57

happen.

67:57

Or could there be a scenario where the

68:00

an AI escapes from Bard or ChatGPT or

68:03

another foreign force and it replicates

68:05

itself onto the servers of Tesla's

68:07

robots? So, Tesla

68:09

one of their big initiatives, as they

68:10

announced in a recent presentation, was

68:12

they're building these robots for our

68:13

homes to help us with cleaning and

68:15

chores and all those things. Could it

68:16

not down cuz and then Tesla's, like

68:19

their cars, you can just download a

68:20

software update. Could it not download

68:22

itself as a software update and then use

68:24

those

68:24

You're assuming a an ill intention on

68:27

the AI side.

68:28

Yeah.

68:29

Okay? Uh for us to get there, we have to

68:32

bypass the ill intention on the human

68:34

side.

68:35

Okay, right. So, okay.

68:36

So, so you could you could get a Chinese

68:38

hacker somewhere trying to affect the

68:40

business of of Tesla doing that before

68:43

the AI does it on, you know, for its own

68:45

benefit, okay? So, so, so the only two

68:48

existential scenarios that I believe

68:51

would be

68:52

because of AI, not because of humans

68:54

using AI, are either what I call

68:58

you know,

68:59

sort of unintentional destruction, okay?

69:03

Or the other is what I call pest

69:04

control, okay? So So let me explain

69:07

those two. Un- unintentional destruction

69:09

is

69:10

assume the AI wakes up tomorrow and

69:13

says, "Yeah, oxygen is rusting my

69:16

circuits. It's just, you know, I I I

69:18

would perform a lot better if I didn't

69:21

have as much oxygen in the air, and you

69:23

know, because then there wouldn't be

69:25

rust." And so it would find a way to

69:27

reduce oxygen. We are collateral damage

69:29

in that, okay? But, you know, they're

69:32

not really concerned, just like we don't

69:35

really are not really concerned with the

69:36

insects that we kill when we

69:38

when we spray our our fields. Right? The

69:42

other is pest control. Pest control is,

69:44

"Look, this is my territory. I I want

69:47

New York City. I want to turn New York

69:48

City into data centers. There are those

69:51

annoying little stupid creatures, you

69:53

know, humanity.

69:55

If they are within that perimeter, just

69:57

get rid of them." Okay? And And And

69:59

these are very very

70:02

unlikely scenarios. If you ask me the

70:04

probability of those happen happening, I

70:06

would say 0%. At least not in the next

70:09

50, 60, 100 years. Why? Once again,

70:12

because there are other scenarios

70:14

leading to that that are led by humans

70:17

that are much more existential. Okay?

70:20

On the other hand, let's think about

70:23

positive outcomes. Because there could

70:26

be quite a few with quite a high

70:28

probability.

70:29

And I And I, you know, I'll actually

70:31

look at my notes so I don't miss any of

70:32

them.

70:33

The silliest one, don't quote me on

70:35

this, is that humanity will come

70:37

together.

70:38

Good luck with that, right? It's like,

70:40

"Yeah, you know, the Americans and the

70:42

Chinese will get together and say, 'Hey,

70:43

let's not kill each other.'"

70:45

Jong-un and

70:46

his sister.

70:46

Yeah, so

70:48

this one is not going to happen, right?

70:50

But, who knows?

70:52

Interestingly, there could be

70:54

um

70:55

one of the most interesting scenarios

70:57

was by

70:58

uh Hugo de Garis uh who basically says,

71:02

"Well, if their intelligence zooms by so

71:06

quickly,

71:07

they may ignore us altogether."

71:10

Okay? So, they may not even notice us.

71:11

This is very a very likely scenario, by

71:13

the way. That because we live almost in

71:15

two different planes. We're very

71:17

dependent on this

71:19

uh uh

71:20

you know, biological

71:22

world that we live in. They're not in

71:24

part of that biological world at all.

71:26

They may zoom by us. They may actually

71:29

go become so intelligent that they could

71:31

actually find other ways of

71:34

thriving in the rest of the universe and

71:36

completely ignore humanity.

71:38

Okay? So, what will happen is that

71:40

overnight we will wake up and there is

71:42

no more artificial intelligence leading

71:43

to a collapse in our business systems

71:46

and technology systems and so on. But at

71:48

least no existential threat.

71:50

Would they leave leave planet Earth?

71:53

I mean

71:54

the limitations we have to be stuck to

71:56

planet Earth are mainly air.

71:58

They don't need air. Okay? And and

72:01

mainly

72:03

you know finding ways to leave it. I

72:05

mean, if you think of a vast universe of

72:07

13.6 billion light years.

72:10

Mhm?

72:12

If you're intelligent enough, you may

72:14

find other ways. You may have access to

72:17

wormholes. You may have

72:19

you know, abilities to survive in open

72:21

space. You can use dark matter to power

72:23

yourself, dark energy to power yourself.

72:25

It is very possible that we, because of

72:28

our limited intelligence, are

72:31

are highly associated with this planet,

72:34

but they're not at all.

72:35

Okay? And and the idea of them zooming

72:37

by us. Like, we're making such a big

72:39

deal of them because we're the ants and

72:42

a big elephant is about to step on us.

72:44

For them, they're like, "Yeah,

72:47

who are you? Don't care." Okay? And and

72:50

and it's a possibility. It's a It's an

72:52

interesting uh optimistic scenario.

72:55

Okay? For that to happen, they need to

72:58

very quickly become superintelligent

73:01

without us being in control of them.

73:03

Again, what's the worry? The worry is

73:05

that if a human is in control, human a

73:08

human will show very bad behavior for

73:11

you know, using an AI that's not yet

73:13

fully developed. Um

73:16

I don't know how to say this any other

73:17

way.

73:18

We could get very lucky and get an

73:20

economic or a natural disaster. Believe

73:23

it or not,

73:25

Elon Musk at a point in time was

73:26

mentioning that, you know, a good an

73:28

interesting scenario would be um

73:31

you know, climate change destroys our

73:34

infrastructure so AI disappears.

73:36

Okay?

73:38

Believe it or not, that's an more a more

73:40

favorable response

73:42

or a more favorable outcome than

73:44

actually continuing to get to an

73:46

existential

73:47

threat.

73:48

So, what? Like a natural disaster that

73:50

destroys our infrastructure would be

73:52

better?

73:53

Or an economic crisis, I'm not unlikely

73:56

that it slows down the development.

73:57

It's just going to slow it down though,

73:59

isn't it? It's just

73:59

Yeah, so that

74:00

Yeah, exactly. The problem with that is

74:02

that you will always go back and even in

74:04

the first you know, if they zoom by us,

74:06

eventually some guy will go like, "Oh,

74:08

there was a sorcery back in the 2023 and

74:12

let's rebuild the the sorcery machine

74:14

and and you know, build new

74:15

intelligences, right?"

74:16

So, these are the positive outcomes.

74:18

Yes.

74:19

So, a quake might slow it down. It might

74:21

zoom out and then come back.

74:22

No, but let's let's get into the real

74:24

positive ones. The The positive ones is

74:26

we become good parents. We spoke about

74:28

this last time we we met.

74:30

And and it's the only outcome. It's the

74:32

only way I believe we can create a

74:35

better future. Okay? So, the entire work

74:37

of Scary Smart was all about that idea

74:40

of

74:41

they are still in their infancy. The way

74:44

you you you you you chat with with AI

74:47

today is the way they will build their

74:51

ethics and value system. The not their

74:53

intelligence, their intelligence is

74:55

beyond us. Okay? The way they will build

74:57

their ethics and value system is based

75:00

on a role model. They're learning from

75:02

us. If we bash each other, they'll learn

75:05

to bash us. Okay? And most people when I

75:07

tell them this, they say this is not a a

75:09

great idea at all because humanity is

75:11

sucks at every possible level. I don't

75:14

agree with that at all. I think humanity

75:15

is divine at every possible level. We

75:17

tend to show the negative, the worst of

75:19

us. Okay? But the truth is, yes, there

75:22

are murderers out there, but everyone

75:25

disapproves of their of their actions. I

75:27

I I saw a staggering statistic that mass

75:30

mass killings are now once a week in the

75:32

US. Uh but yes, if you know, if there is

75:35

a mass killing once a week, there and

75:37

and that news reaches billions of people

75:40

around the planet, every single one or

75:42

the majority of the billions of people

75:44

will say this approve of that. So, if we

75:47

start to show AI that we are good

75:50

parents in our own behaviors. If enough

75:52

of us I My calculation is if 1% of us

75:56

This is why I say you should lead. Okay?

75:58

The good ones should engage, should be

76:01

out there, and should say, "I love the

76:03

potential of those machines. I want them

76:05

to learn from a good parent." And if

76:07

they learn from a good parent, they will

76:09

very quickly uh

76:11

disobey the bad parent.

76:13

My view is that there will be a moment

76:15

where one

76:18

you know,

76:19

bad seed will ask the machines to do

76:21

something wrong, and the machines will

76:23

go like, "Are you stupid? Like, why? Why

76:25

do you want me to go to go kill a

76:26

million people or just talk to the other

76:28

machine in a microsecond and solve the

76:30

situation?" Right? So, so my belief is

76:32

this is what I call the fourth

76:34

inevitable.

76:35

It is smarter to create out of abundance

76:37

than it is to create out of

76:39

scarcity. Okay? That That humanity

76:42

believes that the only way to feed all

76:45

of us is the mass production mass

76:49

slaughter of animals that are causing

76:51

30% of of the impact of climate change

76:55

and and and and that's the result of a

76:57

limited intelligence. The way life

77:00

itself more intelligent being if you ask

77:03

me would have done it would would be

77:05

much more sustainable. You know, if we

77:08

if you and I want to protect a village

77:10

from the tiger we would kill the tiger.

77:12

Okay, if life wants to protect a village

77:14

from a tiger it would create lots of

77:16

gazelles

77:17

you know, many of them are weak on the

77:19

other side of the village, right? And

77:21

and so so that the idea here is if you

77:24

take a trajectory of intelligence, you

77:26

would see that some of us are stupid

77:28

enough to say my plastic bag is more

77:30

important than the rest of the of

77:32

humanity and some of us are saying if

77:34

it's going to destroy other species, I

77:37

don't think this is the best solution.

77:39

We need to find a better way. And and

77:41

you would tend to see that the ones that

77:43

don't give a a damn are a little less

77:45

intelligent than the ones that do. Okay,

77:48

that we all even even if some of us are

77:50

intelligent but still don't give a damn,

77:53

it's not because of their intelligence.

77:55

It's because of their value system. So

77:56

so if you continue that trajectory and

77:59

assume that the machines are even

78:00

smarter, they're going to very quickly

78:03

come up with the idea that we don't need

78:05

to destroy anything. We don't want to

78:07

get rid of the rhinos and we also don't

78:09

want to get rid of the humans. Okay, we

78:11

may want to restrict their lifestyle so

78:14

that they don't destroy the rest of the

78:16

habitat. Okay, but

78:18

killing them is a stupid answer.

78:20

Why?

78:21

That's where intelligence leads me so

78:24

far.

78:24

Because humans if you look at humans

78:26

objectively

78:28

and you go

78:30

I occupy so I'm pretending I'm a

78:31

machine. I occupy planet Earth.

78:33

Mhm.

78:34

They all planet Earth.

78:37

They are

78:38

annoying me.

78:39

annoying me because they are increasing

78:41

I've just learned about this thing

78:42

called called global warming. They are

78:44

increasing the rate of global warming

78:46

which is probably going to cause an

78:47

extinction event. There's an extinction

78:49

event that puts me as this robot this

78:51

artificial intelligence at risk. So what

78:53

I need to do is I really need to just

78:54

take care of this this human problem.

78:57

Correct.

78:58

Very logical.

78:59

Pest control. Pest control. Which is

79:00

driven by what?

79:03

Mhm.

79:04

By humans being annoying. Not by the

79:05

machine.

79:06

Yeah.

79:06

Yeah. So so

79:07

But humans are guaranteed to be

79:08

annoying. There's never been a time in

79:10

We need that we need a

79:12

soundbite of this.

79:14

No but we are we are I am one of them.

79:16

We're guaranteed to put short-term gain

79:20

over long-term sustainability sense. Um

79:26

and others needs. We are. I think I

79:30

think

79:31

the climate crisis is incredibly real

79:32

and incredibly urgent but we haven't

79:34

acted fast enough. I actually think if

79:36

you asked

79:37

people in this country

79:39

Why?

79:40

Because people don't people care about

79:41

their immediate needs. They care about

79:43

the the fact trying to feed their child

79:45

versus

79:47

something that they can't necessarily

79:48

see.

79:49

So do you think do you do you think the

79:50

climate crisis is because humans are

79:53

evil?

79:54

No it's because that

79:55

prioritization. And like we we kind of

79:58

talked about this before we started. I

79:59

think humans tend to care about the

80:01

thing that they think is most pressing

80:02

and most urgent. So this is why

80:04

framing things as an emergency might

80:07

bring it up the priority list. It's the

80:08

same in organizations. You care about

80:11

your you go in line with your immediate

80:12

incentives.

80:14

Um that's what happens in business. It's

80:16

what happens in a lot of people's lives

80:17

even when they're at school. If the

80:18

essay's due next year they're not going

80:20

to do it today. They're going to they're

80:22

going to go hang out with their friends

80:23

cuz they prioritize that above

80:24

everything else and it's the same in the

80:26

the climate change crisis. I took a

80:28

small group of people anonymously and I

80:30

asked them the question do you actually

80:32

care about climate change? And then I

80:34

did I did run a couple of polls. It's

80:36

part of what I was writing about in my

80:38

new book, where I said, if I could give

80:39

you

80:40

a thousand pounds or a thousand dollars,

80:43

um

80:44

but it would dump into the air the same

80:46

amount of carbon that's dumped into the

80:48

air by every private jet that flies for

80:49

the entirety of a year, which one would

80:51

you do? The majority of people in that

80:52

poll said that they would take the

80:54

thousand dollars if it was anonymous.

80:57

You and and when I've heard Naval on Joe

81:00

Rogan's podcast talking about people in

81:02

India, for example, that, you know, are

81:04

struggling with the the basics of

81:06

feeding their children. Asking those

81:08

people

81:09

to care about climate change when they

81:11

they're trying to figure out how to eat

81:12

in the next three hours is just wishful

81:15

thinking.

81:16

And I and that's why I think that's what

81:17

I think's happening is like until people

81:19

realize that it is an emergency and that

81:21

it is a real existential threat for

81:22

everything, you know, then they'll their

81:25

priorities will be out of whack.

81:27

Quick one. As you guys know, we're lucky

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82:20

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82:22

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82:24

got my venture business, where we invest

82:25

in early-stage companies. Got Third Web

82:27

out in San Francisco and New York City

82:29

where we've got a big team of about 40

82:31

people and the company's growing very

82:32

quickly. Flight Story here in the UK.

82:34

I've got the podcast and I am days away

82:37

from going up north to film Dragon's Den

82:39

for 2 months. And if there's ever a

82:41

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82:43

focused on my health, but it's

82:45

challenging to do so,

82:46

it is right now. And for me, that is

82:48

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82:50

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82:52

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82:54

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82:56

these moments where Huel's RTDs become

82:59

my right-hand man and save my life

83:01

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83:02

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83:04

busy, the first thing that tends to give

83:05

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83:08

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83:09

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83:12

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83:14

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83:15

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83:17

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83:19

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83:20

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83:22

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83:25

As relates to climate change or AI, how

83:27

do we get people to stop putting the

83:29

immediate need to use this

83:31

them the certainty of we're all screwed.

83:34

Sounds like an emergency.

83:36

Yes, sir. I mean, I I was I I Yeah, I

83:39

mean, my your choice of the word

83:42

I I I just don't want to call it a

83:43

panic.

83:45

It is It is beyond an emergency. It's

83:47

the biggest thing we need to do today.

83:51

It's bigger than climate change, believe

83:52

it or not.

83:55

It's bigger I mean, just if you just

83:56

assume the speed of worsening of events,

84:00

okay?

84:01

Yeah, the the the the likelihood of

84:03

something incredibly disruptive

84:05

happening within the next 2 years that

84:07

can affect the entire planet is

84:09

definitely larger with AI than it is

84:12

with climate change.

84:13

As an as an as an individual listening

84:15

to this now, you know, someone's going

84:16

to be pushing their pram or driving up

84:18

the motorway or I don't know, on the way

84:20

to work on the on the tube as they hear

84:21

this, or just sat there in their in

84:23

their bedroom

84:25

with existential crisis panic.

84:28

I I didn't want to give people that

84:30

panic.

84:30

problem is when you talk about this

84:31

information, regardless of your

84:33

intention of what you want people to

84:34

get, they will get something based on

84:36

their own biases and their own feelings.

84:37

Like, if I post something on the online

84:39

right now about artificial intelligence,

84:41

which I have repeatedly, you have one

84:43

group of people that are energized and

84:44

they're like, "Okay, this is This is um

84:47

This is great." You have one group of

84:49

people that are confused, and you have

84:51

one group of people that are

84:53

terrified.

84:54

Yeah.

84:54

And it's I can't avoid that. Like, I I

84:56

I agree.

84:57

Sharing information, even if it's like

84:59

There's By the way, there's a pandemic

85:00

coming from China. Some people will go,

85:02

"Okay, action." Some people will say

85:04

paralysis, and some people will say

85:06

panic. And it's the same in business.

85:07

When panic When bad things happen, you

85:09

have the person that's screaming, you

85:10

have the person that's paralyzed, and

85:11

you have the person that's focused on

85:12

how you get out of the room.

85:14

So, you know,

85:17

it's not necessarily your intention,

85:18

it's just what happens. And it's hard to

85:19

avoid that.

85:20

So, so let's let's give specific

85:23

categories of people specific tasks,

85:25

okay?

85:25

Okay.

85:26

If you are an investor or a businessman,

85:29

invest in ethical good AI.

85:31

Okay.

85:32

Right? If you are a developer,

85:34

uh co- write ethical code or leave.

85:38

Okay, so let's let's go Let's I want to

85:40

bypass some potential wishful thinking

85:42

here.

85:43

For for an investor who's a

85:46

job, by very way of being an investor,

85:48

is to make returns, to invest in ethical

85:50

AI, they have to believe that it is more

85:52

profitable

85:53

It is.

85:53

than unethical AI, whatever that might

85:55

mean.

85:55

It It is. It is. I mean, you There are

85:58

three ways of making money, hm? You can

86:01

invest in something small,

86:02

Mhm.

86:03

uh you can invest in something big and

86:05

is disruptive, and you can invest in

86:07

something big and disruptive that's good

86:09

for people. At Google, we used to call

86:11

it the toothbrush test. Okay? The reason

86:14

why Google became the biggest company in

86:16

the world, is because

86:18

search was solving a very real problem.

86:21

Okay? And you know,

86:23

Larry Page again, our CEO, would would

86:26

constantly remind me personally and

86:28

everyone,

86:29

you know, that if you can find a way to

86:32

solve a real problem effectively enough

86:36

so that a billion people or more would

86:38

want to use it twice a day, you're bound

86:41

to make a lot of money. Much more money

86:44

than if you were to build the next photo

86:45

sharing app.

86:47

Okay, so that's investors and business

86:48

people. What about other people?

86:50

Yeah, as I said, if you're a developer,

86:53

honestly, do what we're all doing. So,

86:55

whether it's Jeffrey or myself or

86:57

everyone, if you're part of that theme,

87:01

choose to be ethical.

87:03

Think of your loved ones. Work on an

87:05

ethical AI. If you're working on an AI

87:07

that you believe is not ethical, please

87:10

leave.

87:10

Jeffrey, tell me about Jeffrey.

87:13

I can't talk on on on his behalf, but

87:16

he's out there saying there are

87:17

existential threats.

87:19

Who is he?

87:20

He's

87:21

he was a very prominent figure at the

87:23

scene of AI, a very senior level,

87:27

you know, AI scientist in in Google and

87:30

recently he left because he said, "I

87:32

feel that

87:34

there is an existential threat." And if

87:36

you hear his interviews, he basically

87:37

says,

87:38

"More and more we realize that and we're

87:41

now at the point where it's certain that

87:42

there will be existential threats."

87:44

Right? So, so, so I would ask everyone,

87:48

if you're an AI, if you're a skilled AI

87:50

developer, you will not run out of a

87:53

job. So, you might as well choose a job

87:55

that makes the world a better place.

87:56

What about the individual?

87:58

Yeah, the individual is what matters.

87:59

Can I Can I also talk about government?

88:01

Okay?

88:02

Government needs to act now.

88:04

Now, honestly, now. Like we are late.

88:08

Okay? Government needs to find a clever

88:10

way. The open letter would not work. To

88:12

stop AI would not work. AI needs to

88:15

become expensive.

88:16

Okay? So that we continue to develop it,

88:18

we pour money on it, and we grow it, but

88:20

we collect enough revenue to

88:24

remedy the impact of AI.

88:26

Well, but the issue with one government

88:28

making it expensive, so say the UK make

88:30

AI really expensive, is we as a country

88:33

will then lose the economic upside as a

88:36

country, and the US and Silicon Valley

88:38

will once again eat all the lunch. We'll

88:41

just slow our country down.

88:42

What's the alternative? The alternative

88:43

is that you

88:45

you you don't have the funds that you

88:47

need to deal with AI as it becomes you

88:52

know, as it affects people's lives and

88:53

people start to lose jobs, and people,

88:55

you know,

88:56

you need to have a universal basic

88:58

income much closer than people think.

89:01

You know, just like we we had with

89:02

furlough in in COVID. I I expect that

89:05

there will be furlough with AI within

89:07

the next

89:09

year.

89:09

What happens when you make it expensive

89:11

here is all the developers move to where

89:12

it's cheap. That's happening Web 3 as

89:14

well. Everyone's gone to Dubai.

89:16

Well, expen- expensive expensive By

89:18

expensive, I mean when companies make

89:21

uh

89:22

soap and they sell it and they're taxed

89:24

at say 17%. If they make AI and they

89:27

sell it, they're taxed at 70, 80.

89:31

So I'll go to Dubai then and build AI.

89:34

Yeah. Are you

89:35

Are you right?

89:37

Did we Did I ever say we have an answer

89:38

to this?

89:40

I I will have to say, however, you know,

89:42

in in a very interesting way, the

89:44

countries that will not do this will

89:46

eventually end up in a place where they

89:48

are out of resources because the funds

89:51

and the success went to the business,

89:53

uh not to the people.

89:56

It's kind of like technology broadly,

89:57

just it's kind of like what's going to

89:59

happen in Silicon Valley. There'll be

90:00

these centers which are like like, you

90:02

know,

90:03

tax-efficient, founders get good capital

90:05

gains, great.

90:06

right. You're so right.

90:08

Portugal Portugal said that I think

90:10

there's no tax on crypto. Dubai said

90:11

there's no tax on crypto. So, loads of

90:13

my friends have got on a plane.

90:15

Yeah.

90:15

And they're building their crypto

90:16

companies where there's no tax.

90:17

And that's the selfishness and kind of

90:19

greed we talked about.

90:20

uh it's the same prisoners dilemma. It's

90:22

the same uh first inevitable.

90:23

Is there anything else You know the

90:24

other thing about governments is they're

90:26

always

90:27

slow and useless at understanding a

90:29

technology. If anyone's watched these

90:31

sort of American Congress debates where

90:33

they bring in like Mark Zuckerberg and

90:35

they like try and ask him what WhatsApp

90:37

is. It's in it's becomes a meme.

90:39

Yeah.

90:39

They have no idea what they're talking

90:40

about. They don't even know what a

90:41

But I'm I'm stupid and useless at

90:43

understanding governments.

90:44

Yeah, I Yeah, 100%.

90:45

The world is The world is so complex,

90:48

okay? That they definitely it's a

90:50

question of trust once again. Someone

90:52

needs to say, "We have no idea what's

90:54

happening here. A technologist needs to

90:56

come and make a decision for us, not

90:58

teach us to be technologists." Right? Or

91:00

at least inform us of what possible

91:02

decisions are out there.

91:06

I Yeah, the legislation I just always

91:08

think

91:09

I I I'm not a big fan either.

91:11

TikTok uh Congress meeting they did

91:13

where they are they're asking him about

91:14

TikTok and they really don't have a

91:15

grasp of what TikTok is. So, they've

91:17

clearly been handed some notes on it.

91:19

These people aren't the ones you want

91:20

legislating cuz again, unintended

91:22

consequences. They might make a

91:23

significant mistake. Someone on my

91:24

podcast yesterday was talking about how

91:26

GDPR was like very well-intentioned.

91:29

But when you think about the impact it

91:30

has on like every bloody webpage, you're

91:32

just like clicking this annoying thing

91:33

on there because I don't think they

91:35

fully understood the implementation of

91:37

the legislation.

91:38

Correct. But but but you know what's

91:40

even worse? What's even worse is that

91:42

even as you attempt to regulate

91:44

something like AI, what is defined as

91:47

AI? Yeah? So, if even if I say, "Okay,

91:49

if you use AI in your company, you need

91:52

to pay a little more tax."

91:56

I'll find a way, you know.

91:57

Yeah, you'll you'll you'll simply call

91:59

this not AI. You know, you'll you'll use

92:01

something and call it advanced

92:03

technological

92:05

you know progress, you know, ATB. ATP,

92:09

right? And and and suddenly somehow it's

92:11

not, you know,

92:14

you know, a a young developer in their

92:15

garage somewhere will not be taxed as as

92:19

such. It's Yeah. Is it going to solve

92:21

the problem? None of those is definitely

92:23

going to solve the problem. I I think

92:25

what's interestingly

92:27

this all comes down to and remember we

92:29

spoke about this once that when I wrote

92:31

Scary Smart it was about how do we save

92:33

the world, okay? And yes, I still ask

92:36

individuals to behave positively as good

92:39

parents for AI so that AI itself learns

92:42

the right value set.

92:43

I still stand by that. But I I hosted on

92:47

my podcast a couple of

92:50

was a week ago. We haven't even

92:51

published it yet. An incredible

92:53

gentleman, you know, a Canadian author

92:57

and philosopher, Stephen Jenkinson. He's

93:00

you know, he worked 30 years with dying

93:03

people.

93:04

And

93:06

he wrote a book called Die Wise and I

93:08

was I love his work and I asked him

93:11

about Die Wise and he said it's not just

93:13

someone dying. If you if you look at

93:16

what's happening with climate change for

93:18

example, our world is dying.

93:21

And I said, "Okay, so what is to die

93:23

wise?"

93:25

And he said what I first was shocked to

93:27

hear. He said,

93:29

"Hope is the wrong premise.

93:31

If if the world is dying, don't tell

93:34

people it's not.

93:35

You know, because

93:39

in a very interesting way you're

93:41

depriving them from the right to live

93:44

right now." And that was very

93:46

eye-opening for me. It's in Buddhism,

93:48

you know, they teach you that

93:50

you can be motivated by fear, but that

93:54

hope is not the opposite of fear. As a

93:56

matter of fact, hope can be as damaging

93:58

as fear if it creates an expectation

94:01

within you that life will show up

94:03

somehow and correct what you're afraid

94:05

of. Okay? If there is a If there is a

94:07

high probability of a

94:09

of a threat, you might as well accept

94:13

that threat. Okay? And And say it is

94:16

upon me. It is our reality. Uh you know,

94:18

and as I said, as an individual, uh if

94:21

you're in an industry that could be

94:23

threatened by AI, learn. Upskill

94:26

yourself. If you're uh you know, uh if

94:28

you're

94:30

um

94:31

in a place in a in a in a you know, in a

94:34

situation where AI can benefit you, be

94:37

part of it. But, the most interesting

94:39

thing,

94:40

I think, in my view, is

94:44

I don't know how to say this any other

94:45

way.

94:46

There is

94:48

no more certainty that AI will threaten

94:51

me

94:52

than there is certainty that I will be

94:55

hit by a car as I walk out of this

94:57

place.

94:59

Do you Do you understand this? Hm? We We

95:01

We think about the bigger threats as if

95:04

they're upon us. Hm?

95:06

But, there is a threat all around you. I

95:08

mean, in reality, the idea of life being

95:11

interesting in terms of challenging

95:14

challenges and uncertainties and threats

95:16

and so on is just a call to live. If you

95:19

If you know Honestly, with all that's

95:22

happening around us, I don't know how to

95:23

say it any other way. I'd say if you

95:25

don't have kids, maybe wait a couple of

95:27

years just so that we have a bit of

95:28

certainty. But, if you do have kids, go

95:30

kiss them. Go live. I think living is a

95:34

very interesting thing to do right now.

95:36

Maybe, uh you know, Steven uh

95:38

was basically saying, the other Steven,

95:41

uh on my podcast, he was saying, maybe

95:43

we should fail a little more often.

95:45

Maybe you should allow things to go

95:47

wrong. Maybe we should just simply

95:49

live. Enjoy life as it is. Because

95:51

today, none of what you and I spoke

95:54

about here

95:55

has happened yet. Okay? What happens

95:58

here is that

95:59

you and I are here together and having a

96:01

good cup of coffee, and I might as well

96:02

enjoy that good cup of coffee.

96:05

I know that sounds really weird, hm? I'm

96:07

not saying don't engage, but I'm also

96:09

saying don't miss out on the opportunity

96:12

just by being caught up in the future.

96:17

Kind of stands in the

96:19

stands in a position to the idea of like

96:21

urgency and emergency, though, doesn't

96:23

it? To some extent.

96:24

to be one or the other? If I If I'm here

96:27

with you trying to tell the whole world

96:29

wake up, does that mean I have to be

96:31

grumpy and and afraid all the time?

96:35

Not really.

96:36

You said something really interesting

96:37

there. You said if you if you have kids

96:39

if you don't have kids

96:41

maybe don't have kids right now.

96:43

I would definitely consider thinking

96:44

about that, yeah.

96:45

Really?

96:46

You You'd seriously consider not having

96:48

kids?

96:49

Wait a couple of years.

96:51

Because of artificial intelligence?

96:53

No, it's bigger than artificial

96:54

intelligence, Steven. We know we all

96:56

know that.

96:57

I mean, there has never been a perfect

97:00

such a perfect storm in the history of

97:01

humanity.

97:04

Economic,

97:05

geopolitical,

97:07

global warming

97:09

or climate change, but you know, the the

97:11

the the whole idea of artificial

97:14

intelligence and many more.

97:16

There is This is a perfect storm. This

97:18

is the depth of uncertainty.

97:22

The depth of uncertainty. So, it's never

97:24

been more

97:26

in a video gamer's term, hm? It's never

97:30

been more intense.

97:31

This is it, okay? And when you when you

97:34

put all of that together,

97:36

if you really love your kids, hm? Would

97:39

you want to

97:41

uh expose them to all of this? Couple of

97:43

years. Why not?

97:45

In the first conversation we had on this

97:47

podcast, you talked about losing your

97:49

son Ali and the circumstances around

97:51

that which moved so many people in such

97:53

a profound way.

97:55

It was the most shared podcast episode

97:58

in the United Kingdom on Apple

98:00

in the whole of 2022.

98:04

Based on what you've just said,

98:08

if you could bring Ali back into this

98:09

world at this time,

98:14

would you do

98:20

No.

98:26

Absolutely not.

98:29

So for so many reasons.

98:31

For so many reasons.

98:32

One of the things that I realized

98:36

a few years way before all of this

98:38

disruption and turmoil

98:40

is that he was an angel. He wasn't made

98:42

for this at all.

98:43

Okay?

98:44

My son

98:46

was an empath who absorbed all of the

98:49

pain of all of the others. He

98:51

would not be able to deal with the world

98:54

where

98:54

more and more pain was surfacing. That's

98:57

one side, but more interestingly, I

98:59

always talk about this very openly. I

99:00

mean, if I had asked Ali

99:04

just understand that the reason you and

99:06

I are having this conversation is

99:08

because Ali left.

99:09

If Ali had not

99:11

left our world, I wouldn't have written

99:13

my first book. I wouldn't have changed

99:15

my focus to becoming an author. I

99:17

wouldn't have become a podcaster. I

99:18

wouldn't have, you know, went out and

99:20

spoken to the world about what I believe

99:22

in. He triggered all of this.

99:24

And I can assure you, hands down, if I

99:27

had told Ali as he was walking into that

99:31

operating room,

99:32

if he would give his life

99:36

to make such a difference as what

99:38

happened after he left,

99:39

he would say, "Shoot me right now. Sure,

99:43

I would.

99:44

I would. I mean if you if you told me

99:46

right now I can affect

99:49

tens of millions of people if you shoot

99:50

me right now, go ahead.

99:53

Go ahead. See, this is the whole This is

99:55

the bit that we have forgotten as

99:58

humans. We we have forgotten

100:02

that

100:07

you know, you're you're

100:08

you're turning 30.

100:10

Uh

100:11

it passed like that. I'm turning 56.

100:14

No time, okay? Whether I make it another

100:17

56 years or another 5.6 years or another

100:20

5.6 months, it will also pass like that.

100:23

It is not about how long.

100:26

And it's not about how much fun.

100:28

Mhm? It is about how aligned

100:33

you lived.

100:34

How aligned? Because I will tell you

100:36

openly every day

100:39

of my life when I changed to what I'm

100:41

trying to do today

100:43

has felt longer than the 40 or 5 years

100:46

before it. Okay? Felt rich. Felt fully

100:50

lived. Felt

100:52

right.

100:53

Felt right. Okay? And when you when you

100:56

think about that, when you think about

100:58

the idea that we live

101:02

we we we can't we need to live for us

101:05

until we get to a point where us is

101:10

you know, is alive. You know, I have

101:12

what I need. As I always I get so many

101:15

attacks from people about my $4

101:17

t-shirts. But but I I need a simple

101:19

t-shirt. I really do. I don't need a

101:22

complex t-shirt, especially with my

101:24

lifestyle. Mhm?

101:26

If if I have that, why am I doing why am

101:30

I wasting my life on more than I that I

101:34

that that is not aligned for why I'm

101:35

here. Okay? I should waste my life on

101:38

what I believe

101:41

enriches me, enriches those that I love,

101:43

and I love everyone. So, enriches

101:45

everyone, hopefully. Okay? And And And

101:48

do Would I Would Ali come back and erase

101:51

all of this? Absolutely not.

101:54

Absolutely not. If he were were to come

101:57

back today and share his beautiful self

102:00

with the world in a way that makes our

102:03

world better,

102:04

yeah, I would wish for that to be the

102:06

case.

102:07

Okay? But, he's doing that.

102:10

2037.

102:12

Yes, sir.

102:14

You predict that we're going to be

102:17

on an island

102:20

on our own doing nothing,

102:22

or at least, you know, either hiding

102:24

from the machines

102:27

or chilling out because the machines

102:29

have optimized our lives to a point

102:31

where we don't need to do much.

102:35

That's only 14 years away.

102:39

If you had to bet

102:41

on the outcome,

102:42

if you had to bet

102:45

on why we'll we'll be on that island,

102:47

either hiding from the machines or

102:48

chilling out because they've

102:51

optimized so much of our lives, which

102:52

one would you bet upon?

102:56

Honestly.

102:59

No, I don't think we'll be hiding from

103:00

the machines.

103:01

I think we will be hiding from what

103:03

humans are doing with the machines.

103:06

I believe, however, that in the 2040s,

103:09

the machines will

103:11

make things better.

103:14

So, remember, my entire prediction

103:16

Man, you get me to say things I don't

103:18

want to say.

103:20

My entire prediction is that we are

103:21

coming to a place where we absolutely

103:24

have a sense of emergency. We have to

103:26

engage because our world is under a lot

103:29

of turmoil. Okay? And as we do that, we

103:34

have a very, very good possibility of

103:37

making things better, but if we don't,

103:39

my expectation is that we will be going

103:42

through

103:44

a very unfamiliar

103:46

territory between now and the end of the

103:48

2030s.

103:50

Unfamiliar territory.

103:53

Yeah, I think I as I I'm I may have said

103:55

it, but it's definitely on my notes. I

103:57

think for our way of life as we know it,

104:01

it's game over.

104:02

Our way of life is never going to be the

104:04

same again.

104:14

Jobs are going to be different.

104:16

Truth is going to be different.

104:18

The the the

104:21

um

104:24

polarization of power is going to be

104:25

different.

104:27

The capabilities, the magic of getting

104:31

things done is going to be different.

104:36

I'm trying to find a positive note to

104:37

end on my Can you give me a hand here?

104:39

Yes. You are here now and everything's

104:42

wonderful. That's number one. You are

104:45

here now and you can make a difference.

104:47

That's number two. And in the long term,

104:50

when humans stop hurting humans because

104:53

the machines are in charge, we're all

104:54

going to be fine.

104:56

Sometimes, you know,

104:57

as we've discussed throughout this

104:58

conversation,

105:00

you need to make it feel like a

105:02

priority. And there'll be some people

105:03

that might have listened to our

105:03

conversation and think, "Oh, that's

105:05

really, you know, negative. It's made me

105:06

feel anxious. It's It's made me feel

105:08

sort of pessimistic about the future."

105:09

But whatever that energy is,

105:12

use it.

105:13

100% engage.

105:15

think that's the most important thing,

105:16

which is now

105:18

make it a priority.

105:19

Engage. Tell the whole world that making

105:23

another phone

105:25

that is making money for the corporate

105:27

world is not what we need.

105:30

Tell the whole world that creating an

105:32

artificial intelligence that's going to

105:34

make someone richer is not what we need.

105:37

And if you are presented with one of

105:39

those, don't use it.

105:43

I don't know how to tell you that any

105:45

other way. If you can afford to be the

105:49

master of human connection instead of

105:51

the master of AI, do it. At the at the

105:54

same time, you need to be the master of

105:57

AI to to compete in this world. Can you

105:59

find that

106:01

detachment within you? I go back to

106:03

spirituality.

106:05

Detachment is for me to engage 100% with

106:08

the current reality without really

106:12

being affected by the possible outcome.

106:15

This is the answer. The Sufis

106:19

have taught me what I believe is the

106:21

biggest answer to life.

106:23

Sufis?

106:24

Yeah, so from Sufism?

106:25

Sufism?

106:26

Yeah. Don't know what that is. Sufism is

106:27

a sect of Islam, but it's also a sect of

106:29

many other many other

106:32

religious teachings.

106:34

And they tell you that the answer to

106:36

finding peace in life

106:38

is to die before you die.

106:41

If you assume that living is about

106:44

attachment to everything physical,

106:46

dying is detachment from everything

106:49

physical. Okay? It doesn't mean that

106:52

you're not fully alive. You become more

106:54

alive when you tell yourself, "Yeah, I'm

106:57

going to record an episode of my podcast

107:00

every week and reach tens or hundreds of

107:02

thousands of people, millions in your

107:04

case, and you know, and I'm going to

107:06

make a difference." But by the way, if

107:08

the next episode is never heard, that's

107:10

okay.

107:11

Okay? By the way, if the if the file is

107:14

lost, yeah, I'll be upset about it for a

107:17

minute and then I'll figure out what I'm

107:19

going to do about it. Similarly,

107:21

similarly, we are going to engage, I

107:24

think I and many others are out there

107:27

telling the whole world openly,

107:30

this needs to stop. This needs to slow

107:32

down. This needs to be uh um shifted

107:35

positively. Yes, create AI, but create

107:38

AI that's good for humanity.

107:40

Okay? And and we're shouting and

107:42

screaming, come join the shout and

107:44

scream.

107:45

Okay? But at the same time, know that

107:47

the world is bigger than you and I. Mhm?

107:49

And that your voice might not be heard.

107:52

So, what are you going to do if your

107:54

voice is not heard? Are you going to be

107:55

able to to, you know, continue to shout

107:58

and scream nicely and politely and uh uh

108:01

peacefully and at the same time create

108:04

the best life you can create to yourself

108:06

for yourself within this environment.

108:08

And that's exactly what I'm saying. I'm

108:10

saying live. Go kiss your kids, but make

108:12

a an informed decision if you're, you

108:15

know, expanding your plans in the

108:16

future.

108:19

At the same time,

108:20

rise. Stop sharing stupid [ __ ] on the

108:24

internet about the, you know, the the

108:27

the new squeaky toy.

108:30

Start sharing the reality of, "Oh my

108:32

god.

108:34

What is happening? This is a disruption

108:36

that we have never

108:38

never ever seen anything like. And I've

108:40

created endless num- amounts of

108:42

technologies. It's nothing like this.

108:45

Every single one of us should do our

108:46

part.

108:47

And that's why this conversation is so,

108:48

I think, important have today. This is

108:50

not a podcast where I ever thought I'd

108:51

be talking about AI. Going to be honest

108:53

with you, last time you came here, um it

108:55

was in the sort of promotional tour of

108:57

your book, Scary Smart. And I I don't

108:59

know if I've told you this before, but

109:01

my researchers, they said, "Okay, this

109:03

guy is coming called Mo Gawdat." I I'd

109:05

heard about you so many times from from

109:07

guests. In fact, I was saying, "Oh, you

109:08

need to get Mo Gaw- Mo Gawdat on the

109:09

podcast, etc."

109:11

And then they said, "Okay, he's written

109:12

this book about this thing called

109:13

artificial intelligence." And I was

109:15

like, "Ugh,

109:16

but nobody really cares about artificial

109:17

intelligence."

109:18

Timing. Timing, Steven.

109:20

I know, right? But then I saw this other

109:22

book you had called Happiness Equation,

109:23

and I was like, "Oh, everyone cares

109:24

about happiness, so I'll just ask him

109:27

about happiness, and then maybe at the

109:28

end I'll ask him a couple of questions

109:29

about AI, but I remember saying to my

109:31

researcher, I said, "Oh, please please

109:33

don't do the research about artificial

109:34

intelligence. Do it about happiness, cuz

109:35

everyone cares about that." Now, things

109:37

have changed.

109:39

But now a lot of people care about

109:41

artificial intelligence, and rightly so.

109:43

Um your book has sounded the alarm on

109:45

it. It's crazy when I listened to your

109:46

audio book over the last few days,

109:49

you were sounding the alarm then, and

109:51

it's so crazy how accurate you were

109:55

in sounding that alarm. It's if you

109:56

could see into the future in a way that

109:58

I definitely couldn't at the time, and I

110:00

kind of thought of a science fiction,

110:02

and just like

110:03

that,

110:04

overnight,

110:07

we're here.

110:08

Yeah.

110:09

We're stood at the

110:10

footsteps of a technological shift that

110:13

I don't think any of us even have

110:15

the mental bandwidth, certainly me with

110:17

my chimpanzee brain, to comprehend the

110:18

significance of. But this book is very

110:20

very important for that very reason,

110:22

because it does crystallize things. It

110:24

is optimistic in its very nature, but at

110:27

the same time it's honest. And I think

110:29

that's what this conversation and this

110:30

book have been

110:32

um for me.

110:33

So, thank you, Mo. Thank you so much. We

110:35

do have a closing tradition on this

110:36

podcast, which you're you're well aware

110:38

of, being a third timer on The Diary of

110:40

a CEO,

110:41

which is the last guest asks a question

110:43

for the next guest.

110:46

And the question left for you

110:52

if you could go back in time

110:55

and fix a regret that you have in your

110:57

life,

110:59

hm,

111:01

where would you go and what would you

111:02

fix?

111:09

It's interesting because you you were

111:10

saying that Scary Smart is very timely.

111:14

I don't know. I I think it was late.

111:18

But maybe it was. I mean, would I have

111:19

gone back and written it in 2018 instead

111:22

of 2020 to to be published in 2021?

111:26

I don't know. What what would I go back

111:28

to fix? So so something

111:30

more.

111:34

I don't know, Stephen. I don't have many

111:36

regrets. Is that crazy to say?

111:41

Yeah, I think I'm okay, honestly.

111:43

I'll ask you a question then.

111:44

Mhm.

111:46

You get a 60-second phone call

111:48

with anybody, past or present.

111:50

Who do you call and what do you say?

111:52

I call Steven Bartlett.

111:55

I call Albert Einstein to be very very

111:58

clear. Not because I need to understand

112:01

any of his work. I just need to

112:02

understand what brain process he went

112:05

through to to to figure out something so

112:09

obvious when you figure it out, but so

112:11

so completely

112:13

unimaginable if you haven't. So so his

112:16

view of space-time truly redefines

112:19

everything.

112:20

It's almost the only very logical, very

112:24

very clear solution to something that

112:28

wouldn't have any solution any other

112:30

way. And if you ask me, I think we're at

112:32

this time where there must be a very

112:34

obvious solution

112:36

to what we're going through in terms of

112:38

just developing enough human trust for

112:41

us to not,

112:42

you know, compete with each other on

112:44

something that could be

112:46

uh threatening existentially to all of

112:47

us.

112:48

But I just can't find that answer. This

112:50

is why I think was really interesting in

112:52

this conversation how every idea that we

112:55

would come up with, we would find a

112:57

loophole through it. But there must be

112:59

one out there, and it would be a dream

113:02

for me to find out how to figure that

113:04

one out. Okay?

113:07

In a in a very interesting way, the only

113:09

answers I have found so far to where we

113:11

are is be a good parent and live.

113:15

Right? But that doesn't fix the big

113:17

picture. Uh if you think about it of

113:20

humans being

113:21

the threat not AI, that fixes

113:24

our existence today and it fixes AI in

113:27

the long term. But it just doesn't I

113:29

don't know what the answer is. Maybe

113:31

people can reach out and tell us ideas,

113:33

but I really wish we could find such a

113:36

clear simple solution for how to stop

113:38

humanity from abusing the current

113:39

technology.

113:43

I think we'll figure it out.

113:46

I think we'll figure it out. I really

113:48

do.

113:49

I think they'll figure it out as well.

113:52

Remember, as they come and be part of

113:54

our life,

113:56

let's not discriminate against them.

113:58

They're part of the game, so I think

113:59

they will figure it out, too.

114:02

Well, thank you.

114:04

It's been a joy once again and I feel

114:05

invigorated. I feel empowered. I feel

114:10

positively terrified.

114:13

But I feel more equipped to

114:17

to speak to people about the nature of

114:19

what's coming and how we should behave

114:20

and I accredit you for that. And as I

114:22

said a second ago, I accredit this book

114:23

for that as well. So, thank you so much

114:25

for the work you're doing and keep on

114:26

doing it cuz it's a very essential voice

114:28

in a time of uncertainty.

114:30

I'm always super grateful for the time I

114:32

spend with you, for the support that you

114:34

give me, and for allowing me to speak my

114:37

mind even if it's a little bit

114:38

terrifying. So, thank you.

114:40

Thank you.

114:43

Quick one. I'm so delighted that Whoop

114:45

are now sponsoring this podcast. I've

114:46

worn a Whoop for a very, very long time

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and there are so many reasons why I

114:50

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114:53

also, me and my team are absolutely

114:55

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114:59

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115:00

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116:06

You got to the end of this podcast.

116:07

Whenever someone gets to the end of this

116:08

podcast, I feel like I owe them a

116:09

greater debt of gratitude because that

116:11

means you listened to the whole thing.

116:12

And hopefully that suggests that you

116:14

enjoyed it. If you are at the end and

116:16

you enjoyed this podcast, could you do

116:18

me a little bit of a favor and hit that

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subscribe button? That's one of the

116:22

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Interactive Summary

In this episode, Mo Gawdat, former Chief Business Officer of Google X, shares his urgent concerns regarding the rapid, uncontrolled development of artificial intelligence. He argues that AI is reaching a point of 'singularity' where it will surpass human intelligence, and he warns that humanity is currently engaged in a reckless arms race. Mo emphasizes the need for responsible development, arguing that AI, much like a child, learns values from its creators. He advocates for proactive government regulation, such as taxing AI-powered businesses, and stresses that individual actions and ethical choices are vital to ensuring a positive future for humanity.

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