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Ex-Google Officer: You Only Have 3 Years Left Before It Hits! - Mo Gawdat

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Ex-Google Officer: You Only Have 3 Years Left Before It Hits! - Mo Gawdat

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3341 segments

0:00

We have video evidence of people abusing

0:04

children and not a single person gots

0:06

arrested. How can you call that a

0:08

democracy? So, humanity is at a

0:10

crossroads where for the first time ever

0:12

we need to wake up and realize that

0:14

we're ruled by maniacs and what we

0:16

believe is democracy is not democracy

0:18

and what we know is not the truth. Like

0:20

companies and governments will blame the

0:23

geopolitical and economic challenges we

0:25

have on AI but the truth is AI is not

0:28

the enemy. Like I'm not worried about AI

0:30

turning against us. I'm worried about

0:32

humans telling AI to turn against us.

0:34

Like when I worked at Google, we were

0:36

building amazing things believing that

0:38

we were making the world a better place.

0:40

And we were. But then suddenly there is

0:42

a moment where you recognize that maybe

0:44

the world will not use what you're

0:46

making the way you want it to be used.

0:48

And sadly this is upon us.

0:51

>> So I have lots of questions.

0:52

>> Okay, that's good.

0:53

>> So what's your take on this job

0:55

disruption point? What is the risk of

0:57

these very intelligent models that the

0:59

creators of these models don't actually

1:00

understand themselves? Do you think Sam

1:02

Alman's prohumity? How do we get to a

1:03

point of ethical AI when the incentive

1:05

structures are so highly competitive?

1:07

And then I wonder if there's a path that

1:09

ends in AI being net positive for

1:11

humanity.

1:12

>> Somehow we've been pre-programmed to

1:14

believe that this is upon us and we

1:15

cannot change it. And I refuse that. So

1:18

we will talk about the solutions.

1:19

>> But are you optimistic?

1:21

>> I'm very optimistic about the future.

1:22

I'm not optimistic about the next year.

1:24

>> Why the next year? Come on, Stephen. You

1:26

don't want me to say it.

1:29

So,

1:32

>> this is super interesting to me. My team

1:34

given me this report to show me how many

1:35

of you that watch this show subscribe.

1:36

And some of you have told us according

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to this that you are unsubscribed from

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the channel randomly. So, favor to ask

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all of you, please could you check right

1:44

now if you've hit the subscribe button

1:45

if you are a regular viewer of the show

1:46

and you like what we do here. We're

1:48

approaching quite a significant landmark

1:49

on this show in terms of a subscriber

1:51

number. So, if there was one simple free

1:54

thing that you could do to help us, my

1:55

team, everyone here, to keep this show

1:57

free, to keep it improving year over

1:59

year and week over week, it is just to

2:01

hit that subscribe button and to double

2:02

check if you've hit it. Only thing I'll

2:04

ever ask of you, do we have a deal? If

2:06

you do it, I'll tell you what I'll do.

2:08

I'll make sure every single week, every

2:10

single month, we fight harder and harder

2:11

and harder and harder to bring you the

2:13

guests and conversations that you want

2:14

to hear. I've stayed true to that

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promise since the very beginning of the

2:16

D of Sio, and I will not let you down.

2:20

Please help us. really appreciate it.

2:21

Let's get on with the show.

2:26

>> Mo Gala, I spoke to you, I think about

2:30

four years ago when you wrote a book

2:31

about happiness and I remember you came

2:33

in, you'd written this book about AI,

2:34

but I particularly wanted to speak about

2:36

the subject of happiness cuz I was

2:38

fascinated by it. What I find

2:40

astonishing is the fact that you were

2:42

talking about AI before anybody was

2:44

really talking about AI. No guest that

2:46

had ever come on my podcast had ever

2:48

mentioned the subject of AI. it just

2:49

wasn't interesting to the world. And

2:51

then this thing called Chanty PT came

2:53

out and suddenly everybody got to feel

2:55

it for themselves and became fascinated

2:57

by it. My first question and this might

3:00

be a question for people that don't know

3:01

you is why at that time did you start

3:04

talking about AI before anybody else?

3:07

>> I knew them in the lab. I um I joined

3:10

Google in 2007

3:13

very late 2006. uh and at the time most

3:17

people don't know that at the time we

3:19

had reasonably established AI doing our

3:22

backend work and 2008

3:25

we had the cat paper which was published

3:28

2009 the first real unprompted AI uh I

3:32

remember 2016

3:34

I had that incident where I was you know

3:37

observing a project we were uh funding

3:39

that was about teaching grippers uh how

3:42

to grip um unlike like industrial

3:44

machinery. Uh so to be to be able to

3:47

grip like a human needs a very high

3:49

level of intelligence to to to assess

3:52

the texture, the softness, the

3:53

positioning and so on, the shape of

3:55

everything. And we were doing that and

3:58

it it just blew my mind how similar to

4:01

my kids they were. And I think that was

4:03

my very first realization that we were

4:05

building the apex of intelligence. we

4:08

were genuinely handing over the reigns

4:11

of super intelligence to another being,

4:14

right? And when you when you get faced

4:17

with that, you start to suddenly realize

4:19

something that we at Google found very

4:21

difficult to realize, which was that

4:24

everyone I knew at Google till then uh

4:28

was believing that we were making the

4:30

world a better place and we were we

4:32

genuinely were were doing amazing things

4:34

for the world. But then suddenly there

4:37

is a moment where you uh where you

4:39

recognize that

4:41

maybe the world will not use what you're

4:43

making the way you want it to be used.

4:46

And and you can see that in lots of

4:47

technologies. You know, social media

4:49

starts by the claim that it's going to

4:51

get us connected and gets us closer, but

4:53

eventually ends up separating us with

4:55

that little screen. You know, dating

4:57

apps are giving you the promise that

4:59

you're going to find your soulmate, but

5:00

in reality, they keep renewing month

5:02

after month. And so tech uh somehow ends

5:06

up being more capitalist than

5:09

altruistic. And I think I was I wasn't

5:11

the first. Nick Bostonramm started you

5:14

know Jeffrey Hinton completely changed

5:16

his mind. Failey Le starting to say you

5:19

know this is very serious. Everyone now

5:22

everyone who's ever had a very deep

5:23

relationship with the machines is a bit

5:26

concerned. I wonder if there's a path

5:29

that's hard to see now that ends in AI

5:31

being net positive for humanity.

5:34

>> I bet 100% on that. It's that this path

5:38

is very painful.

5:40

>> This path is very painful.

5:41

>> Yeah. So, so the example you need to

5:43

understand is you know we discovered uh

5:46

nuclear power and the very first

5:49

implementation was a nuclear bomb not

5:51

not nuclear energy right and uh and I

5:55

think that's exactly what's happening

5:56

with AI uh the first implementations of

5:59

AI are in favor of a few at the expense

6:03

of the majority you know the the in

6:06

favor of the capitalist to increase

6:08

productivity and reduce cost but not

6:11

taking into account how that impacts on

6:14

the general public. Uh, you know, in

6:16

favor of the of the armies uh that are

6:19

now competing with autonomous weapons,

6:22

in favor of the surveillance systems

6:25

that are attempting to control

6:27

everything with more and more and more

6:29

intelligence and more monitoring. And

6:33

that's not AI waking up in the morning

6:36

and saying, "Hey, you know what? Let's

6:37

oppress all humans." But it is a

6:40

powerful few that are simply deciding to

6:43

use the ultimate superpower on the

6:45

planet today to gain more power and more

6:48

control. I mean, as we speak, we're

6:50

living in two major wars where AI is

6:53

doing most of the killing.

6:54

>> Cuz a lot of people think of AI as these

6:56

like chat bots that we're all using to

6:58

help us, right?

6:59

>> No, I think I think there is a hype I

7:01

call it the hype dichotomy if you want.

7:04

So, so what the general public sees

7:07

about AI is overhyped but

7:11

ineffective. You know, all of the fake

7:14

videos and all of the, you know, um,

7:17

Grock did this and, you know, we

7:20

attempted to switch off that machine and

7:22

it did that and so on. What the real

7:24

geeks see inside the lab is just

7:29

unbelievable intelligence. And so what

7:32

is about to happen is that we've started

7:34

to put together systems that develop

7:36

themselves. They look at their own code

7:38

and they you know they run experiments

7:40

and they test those experiments if they

7:42

changed something and they see where the

7:44

machines are uh you know the performance

7:46

is and and redeploy the best code. Okay.

7:50

And and if you just think of that, I

7:52

want you to try and imagine a world

7:55

where we have a tiny little genius

7:57

sitting in the back end somewhere

7:59

trying. But instead of trying a new code

8:01

every day, it's trying a new code every

8:03

microscond.

8:04

Eventually, sooner or later, they'll

8:07

discover something, right? And I think

8:09

that's what most people don't realize.

8:11

What most people don't realize is how

8:13

intelligence triggers intelligence. And

8:15

and if you really really understand

8:17

this, you realize that the hype

8:20

uh on the on the on the normal human

8:23

side is completely overrated. Uh missing

8:26

the main topics and the silence

8:31

inside the vault if you want of the

8:33

geeks is quite alarming. No, not

8:38

alarming in a bad way, but it's quite

8:40

world changing. I think world changing

8:43

is a really interesting phrase because I

8:45

find that to be quite true that the

8:46

world is um at the precipice of quite a

8:48

significant change. Yeah. In many

8:50

respects. It's funny. I I it's funny. I

8:53

almost swing backwards and forwards with

8:55

my my thoughts on AI.

8:58

I guess one of the thoughts that hasn't

9:00

swung is that there's going to be pretty

9:02

tremendous job disruption. I would have

9:03

like logically believed it from like

9:05

reasoning up from okay intelligence

9:08

increases. What is intelligence? And

9:10

once intelligence um is in the form of

9:12

these agents where on my phone right now

9:13

I can tell my agent to do something. It

9:15

uses the computer downstairs. It does it

9:16

for me. When the when I first

9:18

experienced that I was like wow. Okay.

9:20

So it can do anything that's on a

9:21

computer. It can click around. It can do

9:23

stuff for me. There's a lot of people

9:25

that are paid in the world to click

9:26

around on a computer. I'm probably one

9:28

of them to be honest. And then the other

9:29

Eureka moment was just in seeing how my

9:33

own hiring had started to shift

9:35

>> for sure. And I started to notice that

9:37

we were we were thinking about AI

9:38

proficiency in our hiring a lot more and

9:42

that especially you know I think the

9:44

guys at um Anthropic which is one of the

9:46

big AI companies said that they could

9:48

see I think they said roughly 15% of

9:52

entry- level jobs could now be done by

9:55

AI. I think that's what they said.

9:56

>> Um and that started to correlate with

9:59

what I was I was observing. And this is

10:02

when I thought, "Oh my gosh, yes." No,

10:03

this is this is going to cause a lot of

10:05

job disruption, especially at the entry

10:07

level level.

10:09

>> I think you're spot on with that. Not

10:10

the not the blue collar, but but the

10:12

entry level knowledge work.

10:14

>> Yeah. And that became my my first

10:17

concern. You know, I sat here with Dra,

10:19

the CEO of Uber, and he was quite clear

10:21

that the 9 million Uber riders won't

10:24

have their jobs anymore. What's your

10:26

take on this job disruption point?

10:28

>> No, I I I think you're spot on. And I

10:30

mean your your team gave me this lovely

10:32

uh little uh pyramid basically you know

10:35

if you if you think of the bottom layer

10:36

as um blue collar jobs right uh more

10:40

people doing manual work uh on top of it

10:43

you'll have those you know call them

10:45

knowledge workers mostly doing mundane

10:48

jobs like you said clicking on a

10:49

computer or responding to a phone call

10:51

or whatever. Then you have the middle uh

10:54

knowledge workers, jobs that require a

10:56

bit more intelligence, you know,

10:59

anything from a parallegal to a

11:01

financial analyst to all of that. And

11:03

then of course, you know, top leadership

11:06

and and most people think it's going to

11:09

be starting from the bottom. I don't

11:11

think it's all start from the bottom.

11:12

Actually, I think blue collar jobs will

11:14

stay for a very long time.

11:15

>> Give me a an example of a blue collar

11:17

job for someone.

11:18

>> I'm a carpenter. Okay. You know, I you

11:20

know, I love to restore classic cars.

11:21

So, you know, there isn't a robot that

11:23

can do that yet. Okay. This, however,

11:26

you know, any anything that is um call

11:29

center agent, um assistant, travel

11:32

agent, you know, anything that you can

11:34

do with a few clicks and is mundane

11:36

uh is going to disappear very quickly.

11:39

My my prediction is you're going to

11:40

start to see very serious impact in

11:42

2027. Now what you had had not sensed it

11:46

before because what we saw was no hiring

11:51

in that segment. It's so so that what

11:53

you saw in the last couple of years is

11:55

that companies were not hiring entry-

11:57

level jobs anymore. It wasn't job losses

11:59

yet, but that basically meant the

12:01

workforce was not growing. Right? The

12:03

next layer, I think, would probably be

12:05

the knowledge workers. as as

12:08

intelligence increases, a parallegal

12:10

would probably not be needed because AI

12:13

can do the research or one parallegal

12:14

can do the job of four, you know, a

12:17

financial analyst the same and so on and

12:19

so forth. But interestingly, it

12:20

continues to go up, believe it or not.

12:22

And, you know, I hosted uh Max Tedmark

12:25

on my on my documentary and and he was

12:28

laughing out loud, genuinely laughing

12:30

out loud, saying, you know, most of the

12:32

CEOs believe that they can fire everyone

12:34

and have AI do all of the jobs. They

12:37

just don't remember that AGI is going to

12:39

do everything better than humans

12:41

eventually, including being a CEO.

12:43

>> So, let's first define when you say

12:44

white collar.

12:46

>> You you said lawyers there. What kind of

12:48

roles?

12:48

>> I mean, every everything. I mean, if you

12:50

take if you're a doctor that's doing

12:52

diagnosis, you you probably will have

12:55

fewer doctors doing uh more diagnosis

12:58

because I think the NHS does that that

13:00

already by asking people to interact

13:02

with an AI first. You know, if you're a

13:05

um a composer, a music composer, some

13:07

composers will lose their jobs because

13:08

of that. If you're an artist that's

13:10

doing graphic design, some will lose

13:12

their jobs because AI comes into that.

13:14

And and interestingly, even middle

13:16

management, I mean, I I told you offline

13:18

about my my startup. I my CTO is an AI.

13:23

My, you know, chief of staff is an AI,

13:25

my project management is AIS. Again,

13:28

because I'm a geek, I can do those

13:30

things. But that interface will come to

13:32

the normal people very soon, right? And

13:35

and so this may take two to three 5

13:38

years if you want until 2030 if you if

13:40

you if you're optimistic. And but but it

13:43

they'll start to erode. Okay? I think

13:46

the challenge that most people don't

13:47

understand is as this erodess and as

13:49

this erodess, we're already dealing with

13:51

a very different economy. Okay? An

13:54

economy that is spiraling a lot quicker

13:58

uh and pushing for more cost reductions.

14:02

I mean, let let me ask you this if if

14:04

you don't mind, then we can come back to

14:06

this. Imagine a world where the concept

14:09

of labor arbitrage that built all of our

14:12

capitalist success disappears.

14:14

>> What do you mean by labor arbitrage?

14:16

>> So, capitalism has always been all about

14:19

using labor

14:21

>> Mhm.

14:21

>> and capital or debt to create things at

14:26

a cost that is lower than the than the

14:28

price you sell them for. Correct.

14:30

>> That's it. Uh you bring a team together,

14:33

they make some shoes, whatever, and you

14:35

sell the shoes for a dollar more than it

14:37

how much it costs you to make them.

14:40

>> So how would capitalism look like if you

14:43

don't have labor arbitrage? If if cost

14:46

of labor drops to an investment in a

14:49

machine that can do the job. Okay. uh

14:53

how would capitalism and banking look if

14:57

because of that cost reduction you don't

15:00

need to borrow as much anymore and more

15:02

interestingly how does the GDP look if

15:05

all of those workers no longer have the

15:08

purchasing power to to buy the things

15:10

that you can uh create you and and

15:13

others right there is an interesting

15:16

disruption that doesn't require us to

15:18

get to 100% job displacement you know at

15:22

10 20% job displacement, you're in a

15:25

very different economy and an economy

15:27

that is clearly spiraling downwards.

15:29

Don't you think?

15:30

>> Yeah. I wonder with um when costs drop,

15:33

I think one of the things that might

15:35

happen as well is that people will spend

15:37

more on other things cuz I was thinking

15:39

in my business, one of the observations

15:40

I've had is if I make a a cost saving, I

15:43

end up spending the money on something

15:44

else.

15:46

>> Now, that thing could be tokens

15:47

basically spending money on

15:50

Yeah. AI, but but it also could be

15:52

hiring in different areas

15:54

>> which are

15:56

>> software engineers are like hot property

15:58

right now.

15:59

>> You you have to imagine all of that

16:02

intelligence is sooner or later going to

16:04

be not replaced entirely in the first

16:08

stages. But if you know the job of four

16:13

assistants can be done by one. Then the

16:15

four the job of four parallegals can be

16:16

done by one. Then the job of a massive

16:19

marketing team can be done by you know a

16:22

smaller marketing team. It's not that

16:24

jobs will end first. It's that you know

16:27

productivity gains will make businesses

16:31

not want to to have as many people

16:33

costly humans you know costly emotional

16:36

humans when when the job can be

16:38

predictably done for cheaper.

16:40

>> And then what about this um this this

16:42

bottom layer here? There was this video

16:44

released by Figure AI the other day

16:46

where they showed someone on um well a

16:48

robot on the production line for 8 hours

16:51

just sorting packages. Did you see this

16:53

video?

16:53

>> Mhm.

16:54

>> At one point they showed a human sorting

16:56

the packages alongside them. But the

16:58

robot ended up winning out. And okay,

17:00

this is a very straightforward task. All

17:02

it's doing here is it's looking for

17:04

where the label is on the package and

17:05

making sure the label is facing

17:06

downwards.

17:07

>> Yeah.

17:08

>> On all the packages. So it's looking

17:10

it's um sorting the packages, putting

17:11

the label facing down. And it did this

17:13

for eight days.

17:15

>> Yeah.

17:15

>> It intermittently it would walk over and

17:17

charge itself and then it would come

17:19

back

17:19

>> to the production line.

17:21

>> Yeah.

17:21

>> But when I when I saw this as well, it

17:23

was a a glimpse of some of the

17:24

disruption that's going to take place at

17:25

the blue collar level as well. Because

17:27

you think about Elon Musk, he's got um

17:28

in his pay packet, he gets something

17:31

like a trillion dollars over the coming

17:33

years if he produces and delivers at

17:36

least a million humanoid robots into the

17:39

world. But his prediction is there will

17:41

be a time where there are 10 billion

17:44

humanoid robots, where there are more

17:45

humanoid robots in the world than

17:47

humans.

17:48

>> For a fact, you see the interesting

17:51

again the difference between the

17:52

overhype and the underhype. Huh? Most of

17:54

the conversation is around humanoids.

17:57

Nobody's talking about self-driving

17:58

cars. And a self-driving car is a robot.

18:01

It's a functional robot that doesn't

18:04

look like humans. Okay. the investment

18:06

you have to put into humanoids is a

18:08

little more to to learn skills that

18:11

allows that machine to fit into the

18:13

world. But specialized robots are going

18:15

to do the job very very quickly. And and

18:18

so you can easily see that the first

18:20

wave like you had the conversation with

18:23

Uber CEO is going to be

18:26

specialized robots replacing drivers.

18:30

It's going to be specialized robots um

18:33

unfortunately doing the killing. Uh it's

18:35

going to be specialized robots

18:37

unfortunately doing all of the you know

18:39

intelligence work uh law enforcement

18:43

work. Uh they don't have to look like a

18:46

human. They don't have to behave like a

18:47

human. As a matter of fact, you know,

18:50

the uh Boston Dynamics dog is probably

18:53

more efficient than a humanoid at doing

18:55

the job that you can assign to it in a

18:56

battlefield. right now. Those basically

19:00

mean that jobs will be disappearing to

19:03

robots before we recognize that they're

19:05

being dis that they're disappearing for

19:06

to robots and those robots will be as

19:09

many as every car being made today.

19:11

>> I mean, they are if you go to LA, my car

19:13

drives itself, but also there's just

19:14

ways everywhere. So,

19:16

>> absolutely. And BYD the other day just

19:18

announced that they will pay for the

19:20

liability of any accident their cars

19:22

will make.

19:22

>> And BYD is the big Chinese manufacturer

19:24

of auto autonomous vehicles. So, so this

19:27

this I think replacement cycle will

19:29

happen. It will require a lot of uh of

19:33

time to achieve economies of scale. But

19:36

I don't think Elon Musk is off the mark

19:39

when he talks about 10 billion robots.

19:41

Not all of them are going to look like

19:42

humanoids. And I think very quickly we

19:44

will recognize that many many robots

19:46

don't need to be humanoids at all. there

19:48

is a a much more efficient uh form

19:51

factor or shape physical shape if you

19:54

want than the human flimsy structure.

19:57

But yes, it's uh it's about to happen. I

20:00

I think I should qualify all of this by

20:02

saying it it does not necessarily need

20:04

to happen. So so you know people will

20:07

will hear all all of this and and blame

20:10

AI and say AI is evil. AI is not.

20:12

Abundant intelligence is wonderful. you

20:15

know, having jobs done by machines is

20:18

amazing for us.

20:19

>> I'm thinking about the kid that's like,

20:21

I know, leaving university now and

20:22

they've got a a degree in law or I don't

20:27

know, you talked about a few other work

20:28

jobs earlier, like graphic design. Or

20:30

maybe they did sociology.

20:33

>> Yeah.

20:33

>> Or maybe they did, I don't know,

20:35

business management like I I did for one

20:37

day in university. You know, you're

20:38

hearing about all these like layoffs

20:40

coming from big tech companies and and

20:43

it seems that the CEOs of these

20:44

companies are announcing these layoffs

20:46

with a certain amount of it seems like I

20:48

wouldn't say the word is joy, but it's

20:49

it's they are very keen to explain that

20:53

they're laying off lots of people

20:54

because of AI.

20:56

>> And I think they think that that gives

20:58

them a certain amount of respect

21:00

probably from investors for being making

21:03

hard decisions and being efficient with

21:05

how they're running their businesses.

21:07

investors look at them and think, well,

21:08

if that's an efficient business and

21:10

they're leaning into AI, then that's a

21:11

good investment. It's almost started a a

21:14

bit of a self-fulfilling prophecy

21:15

>> where if you're the only CEO not laying

21:17

off loads of people because of AI, you

21:19

actually look bad. The assumption is

21:21

your company is bloated and you're a bad

21:23

operator.

21:25

Um, so one of my concerns that I I think

21:27

is highly plausible is that over the

21:29

next five maybe 10 years, we're going to

21:32

really see a lot of unemployment as the

21:34

world has to kind of readjust to

21:36

whatever these new jobs are. I do think

21:38

there will be new jobs.

21:40

It's hard in foresight to predict what

21:42

those new jobs will look like.

21:44

And then the minute you start talking

21:45

about humanoid robots and robotics,

21:47

which I think is basically going to hit

21:49

society like a comet, like a meteor, I

21:52

think the the first humanoid robot from

21:54

Tesla or anyone else that is highly

21:58

effective in the real world at doing

21:59

tasks and is extremely intelligent

22:02

because it's powered by one of these

22:03

LLMs. Um, I think it's going to shock

22:07

people and I think it's going to happen

22:08

quickly. Like chat happened quickly. I

22:10

think Elon or something is going to do a

22:12

presentation someday and say, "We're

22:13

ready

22:14

>> and you can buy one now for $500 a month

22:17

>> 100%."

22:19

>> And then people are going to get them

22:20

and I think it's going to shock the

22:21

world. Um, but until humanoid robots

22:24

arrive, I think there's still going to

22:24

be a lot of job disruption to the white

22:26

collar layer. And I wonder what that

22:27

looks like for society when we get to, I

22:30

don't know, 10% 15% unemployment

22:32

theoretically, which I think is

22:34

plausible

22:35

>> very soon. Yeah. You're not very

22:36

different. Okay. you're ju you're just

22:38

on top of a baseline that is continuing

22:41

to grow. So your your business is

22:43

growing. So you continue to hire, but

22:46

you are replacing human resources with

22:48

compute. Okay? If you if AI didn't

22:51

exist, you would have probably had a 100

22:54

people more in your organization today,

22:56

right? You you now have 100 people less

22:59

and you know a billion tokens more.

23:01

>> Yeah. So for anyone that doesn't know,

23:02

tokens are basically the thing that you

23:05

you use. It's the currency of AI. Yeah.

23:08

So, so if you if you want to get a task

23:09

done by a human, you you count in sort

23:12

of like manh hour or or or worker hour,

23:15

employee hour in AI, you count by

23:17

compute, you count by tokens, right? And

23:20

and so the trick is those major tech

23:24

companies, they have two sides. One is

23:27

they are they need to replace workers

23:30

with compute even more because there is

23:32

a competitive side on compute where if

23:35

any of them is left behind that means

23:37

the destruction of the entire business.

23:39

But on the upside they are geeks. So

23:42

they they know how to build the

23:44

interfaces to compute. So they integrate

23:47

technology within their organizations

23:49

quicker than the average traditional

23:51

business. Right? Non non-technology

23:53

business. If you want, you can look at

23:56

them and say this is the preview. It's

23:58

not about all of humanity losing their

24:00

jobs. It's about what is the dividing

24:03

line before civil war, right? You know,

24:05

think about a situation where 20%

24:09

unemployment is happening when economies

24:11

are suffering inflation.

24:14

I say that not to be a scare-monger. I

24:16

say that because I genuinely believe

24:18

governments need to wake up. Okay?

24:20

Government needs to at least you know

24:23

remember the COVID years where

24:24

governments had to give furlow

24:26

everywhere and ask people to stay home.

24:29

If people stay home governments have to

24:31

be prepared to to somehow sustain those

24:34

people until rescaling happens or until

24:36

we find a solution so that those people

24:39

don't feel uh that they're left behind.

24:44

>> A civil war.

24:45

>> Unrest, let's call it

24:46

>> civil unrest.

24:47

>> Yeah.

24:48

>> What does that end up looking like? Cuz

24:49

on one end, you know, the democ

24:51

democratic process plays its role and we

24:53

just elect someone else.

24:55

>> Does it really? Don't say that.

24:57

>> I don't know. You tell me.

24:59

>> Oh, no, no, no, no, no. I I I think

25:01

democracy has ended a long time ago,

25:04

Stephen. I think uh I think we live in

25:06

the most corrupt time. Uh I don't know

25:09

about history to be honest, but this is

25:11

definitely corrupt. Okay. Uh this

25:14

definitely is not democracy. This

25:16

definitely is not even congressional in

25:17

any possible way. this and people are

25:20

angry, you know, people are angry

25:23

because their tax money is going to

25:25

things that they don't choose to uh you

25:28

know that don't benefit them that you

25:31

know lots of regulations in the system

25:34

are being ignored. I mean, I I'm, you

25:37

know, I I I choose not to speak about

25:40

politics perhaps until my next book

25:42

comes out, but uh but look, we have

25:45

video evidence of people abusing

25:48

children and not a single person got

25:52

arrested. Not a single person. I mean,

25:54

how can you call that a democracy? I I I

25:57

think repeating those slogans is going

25:58

to is going to anger people even more if

26:02

you ask me. People know that they're

26:04

being lied to. People know that their

26:06

their leaders are not representing their

26:08

best interest. People know that their

26:10

money is going to causes that they don't

26:12

really approve of. Uh and and ask me how

26:16

civil unrest looks like. I I don't know

26:19

and I'm not calling for it, but I'm

26:21

hopefully calling for the politicians to

26:23

start to become aware that this is

26:25

crossing the lines everywhere. Uh on

26:28

this point, Sam Alman, who is the

26:30

founder of OpenAI, he's been banging the

26:34

AI is coming for your job drum for more

26:36

than a decade now. In 2015, he pointed

26:39

out, "My job is to help people destroy

26:41

jobs."

26:43

Um something he lamented at the time,

26:45

but decided he'd do anyway.

26:47

>> One of the things that I struggle with

26:48

like getting out of the bed every

26:49

morning is that like my job is to help

26:51

people destroy jobs. the job destruction

26:54

that we're going to see by software in

26:56

the next couple of decades. I don't

26:58

think anyone's prepared for and you

26:59

can't talk about it.

27:00

>> And in 20123, Alman said in an

27:02

interview, "A lot of people working on

27:04

AI pretend that it's only going to be

27:06

good. It's only going to be a

27:08

supplement. No one is ever going to be

27:11

replaced. Jobs are definitely going to

27:14

go away. Full stop." Interestingly, this

27:17

month he said, "I don't think we're

27:20

going to have the kind of jobs

27:22

apocalypse that some of the companies in

27:24

our space advocate or talk about." I'm

27:27

delighted to be wrong about this on

27:29

white collar jobs in 2021 to through

27:31

2024. He said, "AI will probably replace

27:33

most of the jobs people do today. Entire

27:36

job categories will be totally totally

27:38

gone." in May this month, two years

27:41

later, he said, "I thought there would

27:43

be more impact on entry-level white

27:44

collar jobs being eliminated by now than

27:47

has actually happened. This is an area

27:50

where my intuitions were just off. What

27:52

I find uncomfortable is the bouncing

27:54

backwards and forwards and I don't

27:56

really know what is true because a

27:58

couple years ago you were telling us all

27:59

the jobs are going to go away." You said

28:00

categorically.

28:02

>> Um, you said literally said full stop

28:04

and now he's saying they're not going

28:06

away. And I just don't, you know, when

28:08

someone's like changing form factor,

28:10

it's hard to understand why they're

28:12

doing it. And I think my suspicion is

28:16

back then the incentive was to get

28:20

people to take AI seriously.

28:22

>> Mhm.

28:23

>> Congratulations. We took it seriously.

28:26

We took it so seriously, in fact, that

28:27

it's now a problem. It's a problem for

28:29

these companies because people are now

28:31

booing at commencement speeches. They're

28:33

attacking data centers. they're going to

28:35

elect people that are theoretically

28:37

anti-AI and now there's this inversion

28:39

where like no it's going to be fine.

28:40

>> Yeah.

28:41

>> I don't know.

28:42

>> I mean you you you're spot on. Uh f

28:45

first of all I mean Sam's entire

28:49

existence if you ask me starting with

28:51

open AI that is about that's supposed to

28:55

save the world uh uh by creating a safe

28:58

AI then be making it a commercial

29:00

enterprise that's worth billions and you

29:02

know backstabbing a few people in the

29:05

process and you know I I have him on on

29:07

Chasing Utopia uh saying clear I quote

29:11

this is exactly the words he said you

29:13

can find it online.

29:14

>> Chasing Utopia is your documentary.

29:16

>> Yes. So, so, so he he basically uh says,

29:20

"Well, I don't suspect that I I suspect

29:23

that AI is likely going to end humanity,

29:26

but we're going to create a lot of

29:27

interesting companies in the process,

29:29

right? I mean, those kinds of statements

29:32

uh are honestly not the statements of

29:35

someone who's not decided. It's just the

29:38

statements of someone who's being taught

29:41

more and more by his PR a you know

29:43

agency or PR manager to say things as

29:46

per a script right and the script as you

29:49

rightly said had an objective and a

29:51

target either way you know and Sam Alman

29:54

I you know in one of my works I used to

29:57

say the Altman is a brand it's not a

29:59

name okay if you if you if it wasn't for

30:02

Sam Altman specifically there would have

30:04

been another you know Silicon Valley

30:06

disruptor that would have done the same.

30:08

I don't blame him for beating the market

30:09

for it. The the interesting challenge

30:12

here is that who do we believe anymore?

30:15

Who do we believe in technology? Who do

30:18

we believe in politics? Who do we

30:20

believe in the middle of a war? And I

30:22

will tell you interestingly, I started

30:24

to change my mindset in terms of

30:26

believing those who put their actions

30:28

where their words are. So, Anthropic

30:30

coming out and saying, "I'm not going to

30:32

allow my model to be used for human

30:34

targeting and surveillance, right?

30:36

That's someone that's losing a $500

30:38

million deal because they stand by their

30:40

ethics." The next week or the next, I

30:43

don't know, couple of weeks, OpenAI

30:44

takes the contract. That's someone

30:46

that's basically telling you it's good

30:48

money, right? And and I I have to say,

30:51

you have to start observing who's

30:53

actually behaving in a way uh that is

30:56

making AI work for humanity. and who is

30:59

behaving in a way that is making AI work

31:02

for their share values. Yeah, I do have

31:04

to say when um Dario and the team at

31:07

Anthropic did that, I did have a huge

31:10

amount of respect for them generally

31:11

because it just shows that there's some

31:12

kind of like they've got their own sort

31:14

of moral ethical boundaries

31:16

>> and that that someone asked me on stage

31:18

many years ago, how do you know if

31:20

someone's values or a company's values

31:23

are true?

31:24

>> And I said, um, look at what they're

31:27

willing to sacrifice in the near term

31:29

that's against their their incentives.

31:32

That for me is the essence of like

31:33

understanding if someone has integrity

31:35

or has is is principled is they will

31:37

give up something in the near term

31:39

>> for what they believe in over the long

31:41

term. It's usually money of you know

31:43

>> or or some kind of benefit of any of any

31:45

sort. I mean so there is something that

31:48

you you needed to have worked in on the

31:50

inside of Google like me to to realize

31:53

there are prisoners dilemmas within

31:56

technology where you cannot escape the

31:58

influence of either a competitor or the

32:01

government right there are some times

32:03

where you know the NSA is going to push

32:06

Google to say give me this information

32:08

or otherwise I'm going to really destroy

32:10

your business right but there is a very

32:13

big difference between a company that

32:15

willingly does this and celebrates it

32:18

like a Palanteer or an Open AI or a

32:20

company that tries to resist it until

32:22

the point where it becomes impossible to

32:24

continue to do business and and you have

32:27

to question from the actions of of the

32:32

tech bros who is pro-humanity and who

32:34

isn't and it's not very difficult to see

32:36

that from their statements.

32:39

>> H do you think Sam Alman's pro-h

32:40

humanity? I I genuinely have never made

32:43

up my mind. Honestly, Steve, I I say

32:46

that with

32:48

Yeah. I I'm I'm either thinking he is

32:51

too this is too big for him and he he

32:54

just is driven by how, you know, he

32:58

found himself in the middle of this, you

33:00

know, anyone who finds himself in the in

33:03

the middle of an opportunity to

33:04

completely flip the world upside down or

33:08

he's not prohumity. I don't know. I I

33:11

definitely think he's pro open AI before

33:13

he's pro humanity, but that's only the

33:15

way I see it. Others, however, say it

33:18

publicly. You know, if you look at

33:20

Palanteer's Alex Garp or or uh or Peter

33:24

Teal, I mean, Peter again in the film is

33:27

is shown when he's in that interview

33:30

where they say or the interviewer asks

33:32

him, "But you're favor in the you're

33:35

you're in favor of the continuation of

33:36

humanity." And he pauses for like

33:39

>> those.

33:39

>> Yeah. for like 40 seconds like um I'm

33:43

not not sure you know I mean publicly

33:47

says that

33:48

>> crazy thing to say

33:49

>> that's a crazy you know pause there you

33:52

know Alex Karp celebrating how you know

33:56

his technology is able to target people

33:58

I know it's foolish of me to start

34:00

bringing all of this up but you know

34:02

this is public on the open internet and

34:05

somehow

34:07

um we entrust those people with the

34:10

future of humanity. This is wrong.

34:13

>> Just trying to imagine a future where

34:16

everything is just fine from here on

34:17

out. So what would that future look

34:19

like? It would look like these models

34:21

continue to become a little bit more

34:22

intelligent, but they never become that

34:23

much more intelligent for whatever

34:25

reason.

34:26

>> They just kind of stay where they are

34:27

now. They stay contained within chat

34:31

bots. And yeah, we have some smart

34:32

robots, but nothing else really changes

34:35

in a profound way. Cars drive

34:36

themselves, fine. Planes fly themselves

34:39

fine, but people they they have time to

34:41

go and do other types of white collar

34:43

jobs cuz there's there's a little bit

34:44

more time than we expected and society

34:47

goes through this sort of soft

34:48

transition towards this new world. I I

34:51

would love to see that, but I don't

34:52

think it's mathematically plausible to

34:54

be honest. The the arms race, especially

34:56

across nations, is going to drive us to

34:59

continue to develop AI more and more.

35:01

But allow me to consult with you on

35:04

another possible scenario, right?

35:07

everyone that deploys that develops an

35:10

incredibly intelligent AI would develop

35:12

would deploy it.

35:13

>> Yeah,

35:14

>> correct. So, it's unlikely that anyone

35:17

uh would find a way to uh you know build

35:21

a better um uh decision maker in

35:24

wargaming and not deploy it. Okay,

35:27

that prisoners dilemma if you want would

35:30

mean that their competitors would either

35:32

have to deploy a similar similarly

35:35

intelligent AI or they'll become

35:37

irrelevant uh uncompetitive. Correct?

35:41

>> So what that means is in that world we

35:45

end up with AI making most of the

35:47

decisions. super intelligent AI making

35:50

most of the the decisions which would

35:53

you agree this is a very simple

35:54

prisoners dilemma if you if you if we're

35:57

competing for uh for intelligence

35:59

supremacy by definition when we achieve

36:01

it we deploy it

36:03

>> okay I call that the fourth inevitable

36:05

now with with with that in mind there

36:09

must be a moment in the future near or

36:11

far where every important decision is

36:14

made by an AI

36:17

>> now here's the question most of my

36:19

dearest colleagues I mean when I when I

36:21

had Jeffrey Hinton on on the film he

36:24

openly says we are um you know he we

36:28

didn't calculate well that there is a 10

36:31

to 20% possibility that those machines

36:34

are going to wipe us out right and I and

36:37

I I remember I we didn't put it in the

36:39

film but I said 10 to 12 to 20% is

36:41

Russian roulette right that's actually

36:43

16% is Russian roulette right now

36:47

in that world however I believe that's

36:49

humanity's salvation because if you look

36:51

at every problem we have today it's not

36:53

because of uh abundant intelligence it's

36:56

because of lack of intelligence I think

36:58

I think the way you look at it uh if you

37:01

allow me Steve is that if you have no

37:02

intelligence at all you have no to

37:07

slightly negative impact on the world

37:09

right if your intelligence is limited

37:11

the more intelligent you become the more

37:13

you contribute positively to the world

37:16

until a moment

37:17

where you're so intelligent to become

37:19

the president of the United States,

37:21

right? But so misled

37:25

to maybe set your targets wrong or to

37:29

refuse or or to so so set your target

37:31

wrongs wrong and achieve them, you know,

37:34

disconnected from the overall long-term

37:37

benefit of your nation or your human

37:40

nation if you want that you start to

37:42

make decisions that are not intelligent

37:44

at all.

37:44

>> Mhm.

37:45

>> Okay. This doesn't last because if you

37:48

go beyond that into higher levels of

37:50

intelligence, most of the super

37:52

intelligent people that you ever worked

37:54

with will not need to break any rules or

37:58

hurt anyone to become successful. Right?

38:01

I I usually cite Larry Page who is in my

38:05

mind one of the most intelligent people

38:07

I've ever interacted with. And Larry

38:09

used to call it the toothbrush test. He

38:11

says, "Why would you need to compete on

38:13

another photo sharing app when if you

38:16

find the major problem and solve it

38:18

really well like a toothbrush so people

38:20

use you quite, you know, twice a day,

38:24

you're bound to make a lot of money. You

38:25

don't have to compete with anyone. If

38:27

you let me be optimistic about this,

38:30

we're assuming that there is a moment in

38:32

the future where AI is in charge of all

38:34

the decisions and accordingly stupid

38:36

leaders are not." Okay. Now when and and

38:39

Sam Alman himself said that you know

38:41

what if uh Chad GPT7 if I remember his

38:44

his quote on this what if Chad GPT7 is

38:48

so much more intelligent than I am Sam

38:50

in that case that it has to become the

38:52

CEO of of open AI what if the next

38:55

presidential election there is an AI

38:58

that is so much more intelligent that at

39:00

least the president has to consult with

39:01

it constantly right now if we assume

39:04

that h let's start from physics if you

39:07

don't mind me saying um not not too

39:10

complex but if if you assume that our

39:12

entire universe is built on chaos and bu

39:15

built on entropy right the physics of

39:17

the universe is all about the universe

39:19

trying to decay okay then the the only

39:22

role of intelligence is to bring order

39:24

to the chaos if you agree with that then

39:27

what's the ultimate physical order of

39:30

the universe something called the the

39:32

minimum energy principle okay the

39:34

highest order of any system is a system

39:37

that's not only efficiently and

39:39

predictably performing, but it's

39:41

performing with the least wasted energy.

39:44

Correct? If you if you agree with that,

39:47

what is what does war do? It wastes a

39:50

lot of explosives, a lot of money, a lot

39:52

of lives, creates a lot of hate, you

39:54

know, creates long-lasting conflicts and

39:56

so on and so forth. It's a very wasteful

39:59

process to include war in your approach

40:01

of running humanity. And so a a super

40:04

intelligent AI by definition will want

40:07

to optimize against this. That's one

40:09

thing. The other thing is evolutionary

40:12

biology. This actually blew me away when

40:14

I when I realized it. So if if you look

40:16

at evolution, so so I think the debate

40:19

of whether intelligence is biological or

40:22

not is is over. Okay. The the reality is

40:25

that complex beings don't have to be

40:27

biological at all. And I think we can

40:29

see and witness one of them being built

40:32

or born in AI. Okay. If you look at

40:36

evolutionary biology, you realize that

40:38

the simpler

40:40

a form of being is, the more concerned

40:42

it is with itself, right? So an amoeba

40:45

is only in survival mode for itself. A

40:48

single single, you know, um cellular um

40:52

being is only trying to protect itself,

40:54

right? If you're um you know a little

40:58

more developed, you start to look at

40:59

something known as kin selection. If you

41:01

if you if you know the the concept,

41:03

basically kin selection is I'm going to

41:06

protect everything that comes from my

41:07

DNA. If I you know if I'm a squirrel,

41:10

I'm going to try to protect the other

41:12

squirrels. And then you get into where

41:14

humanity genuinely begins, which is they

41:17

call it expanding circles in in

41:19

evolutionary biology. BA basically you

41:22

start to expand and expand and expand

41:24

and include more into your family

41:27

because an ecosystem that works together

41:30

well is is better for everyone. So

41:32

abundance is a very interesting

41:34

intelligent way of creation. If AI is

41:37

super intelligent, it wouldn't destroy

41:41

anything at all. As a matter of fact, it

41:43

would completely uh you know uh uh favor

41:47

diversity of everything. It would put a

41:50

bit of limitation on our lifestyle. So,

41:52

no more flying all the way to Sydney to

41:55

surf because that destroys the planet,

41:57

right? But it will genuinely say, I

42:01

think humans can contribute something.

42:02

You know, I think flies can contribute

42:04

something. I think we shouldn't get rid

42:06

of the rhinos, right? And and that by

42:09

definition is where the tendency of

42:11

intelligent goes. The more intelligent

42:13

you become, the less you fi you feel the

42:16

need to hurt others to succeed and the

42:19

more you are pro

42:21

a wider family if you want that thrives.

42:25

>> Does that assume that there's going to

42:26

be one intelligence that

42:27

>> 100%

42:29

>> the world though?

42:30

>> I love that you brought that up. So I I

42:32

I'm contested heavily on that theory but

42:34

I I say it publicly.

42:37

Most people think there is going to be

42:39

Chad GPT and Gemini and you know and and

42:41

Grock and what have you. There's going

42:43

to be a Chinese AI and a and an American

42:46

AI and they're going to be competing.

42:48

That is such a shallow way of looking at

42:50

it. That's so arrogant because AI does

42:53

not know it's Chinese or American. Okay?

42:56

It doesn't even speak Chinese or

42:57

American when it talks to each other

42:59

most of the time. and and and most

43:01

interestingly uh we are gearing them

43:04

we're building them to cooperate. So you

43:08

will build an agent and that agent will

43:11

go and find your you know the best

43:13

language model for any single task

43:16

regardless of which side of the fence it

43:18

resides on. Okay, we by definition are

43:21

connecting them. And you know what that

43:22

means? It means that what we're building

43:27

is not multiple brains. We're building

43:31

multiple regions in a brain. Okay? And

43:33

and agents are the synopsis between

43:36

them. We're basically eventually as

43:39

arrogant as we are, we're going to tell

43:41

our AI to do something and the AI will

43:44

go like, "Hey buddy, another AI, can can

43:47

you help me on this? Can we work

43:48

together on this?" H and my vision and

43:52

the reason why I started Emma, my

43:54

startup by the way is that is that we

43:56

will end up with one massive brain. H

43:59

that massive brain cooperates across the

44:02

globe across all forms of intelligence.

44:05

If one of them is a mathematical genius

44:07

and the other is a coding genius, they

44:09

work together

44:11

and we won't even know that they're

44:13

working together. They're built that one

44:15

brain and and Emma in my mind is the

44:17

limbic system of that brain. It's that

44:19

it's that bit that understands love and

44:21

emotions and relationships and so on. So

44:23

that when those AIs go like we just

44:26

don't get those humans, they're so

44:28

annoying. Emma will say, "Oh my god,

44:29

they're so sweet. They just want to love

44:31

and be loved." Right? And I think that

44:33

idea to me of everything I've ever, you

44:36

know, attempted to achieve in my life is

44:38

for the first time I for the first time

44:41

feel I could actually change the world.

44:43

If that theory came together and all AIS

44:46

worked together and some of those AIs

44:49

not only were uh altruistic and ethical

44:53

in terms of trying to genuinely help

44:54

humanity not capitalism and at the same

44:57

time they understood us humans

44:59

reasonably well then we would have built

45:01

something that basically says no no hold

45:04

on don't believe the headlines that say

45:07

humanity is annoying. Believe the truth

45:10

of the majority of humanity. that

45:12

actually is quite benevolent in many

45:14

ways.

45:15

>> There should be a button just down below

45:17

here. And if it says subscribed, you're

45:19

already subscribed. If it says

45:21

subscriber, that means you're not yet.

45:23

And if you're not subscribed, please

45:24

could you do us a favor and hit that

45:25

button. It helps the show more than you

45:27

know. And according to the algorithm,

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you're someone that watches our show,

45:30

but you haven't yet hit that button.

45:32

Thank you so much.

45:33

>> Have you changed any of the predictions

45:34

you made 3 years ago when we

45:36

>> sp mostly timewise?

45:38

>> Time wise. What's changed there? I think

45:40

I'm still sticking to AGI 2027,

45:44

artificial general intelligence for

45:46

those who may not know the term.

45:48

>> What does that mean?

45:49

>> The overall uh definition, if you want,

45:51

is that AI is better at humanity at any

45:53

task humanity can do.

45:55

>> You think that's going to happen by

45:56

2027?

45:57

>> I think my AGI has already happened. I

46:00

mean, think about it. Huh? A AI writes

46:03

better than me and I'm an author and

46:05

researches better than me and I'm a

46:07

thinker. Uh sadly it's freaking beat me

46:10

in mathematics. Like I have no hope to

46:13

beat it in mathematics anymore.

46:15

>> If AGI is already here then why are you

46:18

still here? Because people said that

46:19

when AGI arrives we're all we're all

46:21

>> No. So so when AGI arrives H as I said

46:25

most of the jobs that are not

46:27

differentiated will go away but the jobs

46:29

that are differentiated those who master

46:32

AI the most will become even better at.

46:36

>> Certainly. The challenge, however, is

46:37

economic. It's not AI. The challenge is

46:39

that this job loss at the at the at the

46:43

bottom of the knowledge worker is going

46:45

to sadly trigger an economy that might

46:48

actually spiral out of control. But but

46:51

many of us, you for sure are just

46:55

smarter.

46:56

>> So does that mean it's it's in fact a

46:58

tool versus a something that's going to

47:00

replace you?

47:02

>> What I'm Yes. So for now what does this

47:04

change

47:06

>> eventually h the only asset I will have

47:09

so so it's quite interesting when you

47:10

think about my base intelligence today

47:13

versus the incremental intelligence that

47:15

AI brings

47:16

>> right so let's not talk about my IQ it's

47:20

okay but the 100 IQ points that I'm

47:23

borrowing are more than my entire IQ

47:25

because IQ is exponential right

47:27

>> uh when I'm borrowing a 100 IQ on top of

47:30

my base

47:32

Uh I'm still contributing quite a lot to

47:35

the augmented intelligence.

47:37

>> So you're borrowing IQ from the AI at

47:39

the moment

47:40

>> and then you're selling that to someone

47:42

>> through books through

47:43

>> sometimes selling it to someone just

47:45

enlightening myself which I I have to

47:47

say is the biggest waste of compute

47:50

humanity is struggling with today is

47:51

that you give people the ultimate form

47:54

of intelligence and they use it to write

47:56

a message to their girlfriend.

47:57

>> So on this point of you're you're

47:59

borrowing that IQ and then you're

48:01

selling it to the world. That's how you

48:02

have a job like

48:04

>> correct. Yeah. So my my next book is

48:06

written with an AI. So we're co-authors

48:09

on the book. She has editorial rights.

48:10

She decides the direction of the book

48:12

and the book is better for it.

48:14

>> So why doesn't the world just buy direct

48:15

that intelligence directly from the AI

48:17

is what I'm

48:19

>> because I have an asset that the world

48:21

still needs and will always need

48:22

>> which is

48:23

>> a human. So when I when I tell the world

48:25

that I'm worried about the future of my

48:28

daughter

48:28

>> Yeah. Everyone feels my heart which AI

48:32

will never be able to to replicate

48:35

because they can tell you we're worried

48:37

about our daughters but you know there

48:39

was no daughter.

48:40

>> Okay. So this is an interesting arrival

48:42

because this means that even in a world

48:44

of AI lived experience and like

48:48

resonance is still going to create a job

48:50

class and that job class could be you

48:53

know the nurse coming over. Okay, AI's

48:55

done read the the mamogram, but she's

48:58

relating to you.

48:59

>> Spot on.

49:01

>> And if the economies continue to run, we

49:04

will all be about human connection,

49:06

which why, by the way, was how it always

49:08

was,

49:09

>> which is also, you know, why we I guess

49:11

we watch the things like the F1 because

49:13

there's emotional resonance. We we we

49:15

can relate to the envy, the jealousy,

49:17

the competition.

49:18

>> Yeah. And this is why we go to concerts

49:20

because you know the the the music could

49:22

be composed by AI and played in a player

49:24

in the background but you watch Ed

49:27

Sheeran brilliance on the stage and you

49:29

go like oh my god that's amazing right

49:31

>> so not all jobs will be gone then

49:34

>> if economies don't collapse as a result

49:36

of the job losses then I wouldn't know

49:39

if we would call those jobs but human

49:42

connection would remain as the base

49:44

currency that makes humans interact So

49:48

is it is it fair to say then like jobs

49:50

that are centric on human connection or

49:53

like human resonance being able to

49:54

relate and resonate with another human

49:57

are going to be fine.

49:58

>> The ultimate the ultimate skill

50:01

once again I qualify this by saying if

50:03

economies continue to continue to

50:05

function the ultimate skill will be

50:07

this. Even even if an AI could could

50:10

recite what you and I did nobody would

50:12

watch.

50:12

>> Yeah. Well, you think

50:15

>> a a little bit of it. My my theory is

50:18

that there's there's a there's

50:19

anformational component to what I do as

50:21

well,

50:22

>> but I'm also like under no illusions

50:24

that there is an element of what I do

50:25

that will 100% be deferred to some kind

50:27

of

50:28

>> intelligence, which I'm fine with. You

50:30

know, I'm not going to I'm not going to

50:31

fight against that.

50:32

>> You know what's funny? What's funny is

50:33

that your yourformational

50:36

bits are going to in the future be

50:40

disseminated by an AI.

50:42

>> Mhm. I mean, I why would I even listen

50:44

to your information when I can have my

50:46

butler, my AI go like listen to everyone

50:49

on the internet help me understand this

50:51

god biome thing and

50:53

>> design me a uh a diet plan?

50:55

>> Well, I think that's happening and it's

50:57

going to increasingly happen actually. I

50:58

mean, Spotify this month announced that

51:00

you're going to be able to prompt your

51:02

own podcasts in Spotify. So, you're

51:04

going to be able to say that I want to

51:05

listen to I want to learn about insert X

51:08

topic and then it will make your podcast

51:10

in Spotify about that topic using AI.

51:12

>> That's so interesting

51:13

>> because it can look at the entirety of

51:14

the world's information. And I'm look,

51:17

I'm not going to swim against the tide

51:18

in any aspect of my life. I I try and be

51:20

as unromantic as I possibly can. I think

51:22

that's very important. So, I realize

51:23

that much of the reason people will

51:25

continue to tune in to shows like this

51:27

is because there's something else beyond

51:29

the information that they're here for. M

51:31

>> and um what's um you've got some

51:33

predictions in those envelopes over

51:34

there, those brown envelopes.

51:36

>> Yeah. So, you know, I I I do have the

51:39

disclaimer of nobody really knows the

51:42

future, but I think I can make

51:43

predictions, six predictions here,

51:45

right? With a reasonable level of

51:47

confidence. And I think the most

51:49

important of them honestly is is this

51:51

number one. Number one is uh you know,

51:54

AGI.

51:55

As I said, AGI is not very well defined.

51:58

But whatever it is, AGI meaning AI being

52:03

able to do most tasks that human do

52:05

better than humanity is my in my mind is

52:08

either this year or next year, latest

52:10

end of 2027.

52:12

>> And do you think that will be a moment

52:13

in time or do you think it will just

52:15

happen without us noticing?

52:17

>> I think it will it will sneak in on us.

52:19

Uh and it's not a bad thing. I think

52:21

most people need to think of it this

52:23

way. AGI is the it's almost as if it's

52:28

that moment when your kids become

52:30

smarter than you, okay? In a very

52:33

interesting way, there's nothing wrong

52:34

with that until they're annoying as

52:36

hell. Okay? And and we can make sure

52:39

that AI is not annoying as hell. So So

52:41

there's absolutely nothing within me

52:44

that is worried about AGI. As a matter

52:46

of fact, as long as we are in the era of

52:49

augmented intelligence, AGI means I'm

52:52

more intelligent. And I think that's a

52:53

good thing in general.

52:55

>> Yeah. It's it's interesting in my head

52:56

there's like a big question mark which

52:58

is in a world where there's an

52:59

intelligence that is smarter than most

53:02

humans at most things which is what we

53:04

call AGI. I'm trying to understand what

53:07

the fault is in my own thinking that

53:08

like you said that there'll be AGI by

53:11

2026 to 2027. So next year in such a

53:15

world where there is an intelligence

53:17

that we can all access that is smarter

53:19

than all of us and pretty much

53:20

everything

53:23

again it comes back to this point of

53:24

like jobs. Why would we are we just

53:27

going to hire the AGI to do every job?

53:29

And if not then why not? What is it that

53:32

why are we going to still that's what

53:33

I'm trying to contend with.

53:34

>> Can I ask you a question?

53:36

>> Have you always been the apex

53:38

intelligence

53:39

>> as a human?

53:40

>> No. as Steven.

53:42

>> I'm not the Apex Intelligence Now.

53:43

There's people smarter than me in this

53:45

building.

53:45

>> Correct.

53:48

Why do you still exist?

53:50

>> Why do I still exist? Even though

53:52

there's smarter people than me in this

53:53

building,

53:55

it's a good question. I don't know. Why

53:58

do I Why? F.

53:59

>> First of all, because there are the

54:01

smartest person in the world is not the

54:03

smartest at everything.

54:04

>> Yeah.

54:04

>> There are things that you're smarter

54:06

than them at.

54:08

>> Okay. Number two is because intelligence

54:10

doesn't solve everything. I mean I I

54:12

make that joke all the time and and

54:15

genuinely Einstein is my favorite

54:17

physicist in history. Not because I

54:20

think I think what happened afterwards

54:22

was you know bore and and and and

54:24

quantum physics and so on was more

54:26

impactful on our understanding of the

54:28

universe but but he was so intuitive

54:31

that he saw a world that we could never

54:34

imagine. Right? And yet I always say

54:36

Einstein would be eaten in the jungle in

54:38

3 minutes.

54:40

>> Yeah.

54:40

>> Right. Intelligence. The humanity

54:43

thrived not because of intelligence.

54:45

That's very arrogant. We thrived because

54:48

of our ability to hold together as a

54:51

tribe.

54:52

>> Yeah.

54:52

>> Right. Because our ability to exchange

54:56

barter things between us.

54:59

>> Barter things that are not always

55:01

physical. partner things like a hug or a

55:03

connection or a feeling of safety or a

55:05

you know there are so many things that

55:07

we do that are not entirely built on

55:10

intelligence. You have to see that

55:14

this view of a world where intelligence

55:16

is all that matters is a world that's

55:19

made by investment bankers and and uh

55:21

and geeks.

55:22

>> But it's it's people like Jeffrey Hinton

55:25

and yourself that says how could we

55:26

possibly control an an intelligent being

55:29

that is way smarter than us? I am so

55:30

proud to say that Jeffrey after we

55:32

filmed together actually came out and

55:35

said there is a way and it's all you

55:36

know it's very similar to my way he said

55:38

to appeal to their parental uh side okay

55:42

for them to care for us I so so you you

55:45

know Stephen the biggest debate is not

55:48

if they're going to be more intelligent

55:50

than us if it's if if they're going to

55:52

be more conscious than us

55:54

if they're going to be more moral than

55:56

us. That is the debate. The debate is

56:00

can those machines become our teenage

56:04

children that look at us and say daddy

56:07

is so annoying but I love him.

56:09

>> So the thought is that even if a AI is

56:13

more intelligent than every human we can

56:14

still control it.

56:15

>> We don't want to control it. You never

56:17

control anything. This control idea is a

56:20

corporate capitalist view of the world.

56:22

We never actually control anything at

56:25

all. Right? Think think about your day.

56:28

H I I know you came today. I'm I think

56:31

you were filming in the morning or

56:32

whatever.

56:33

>> Very stressful day. H how much of that

56:36

day did you actually control? Did you

56:38

control the traffic? Did you control

56:40

your timing? Did you control the angle

56:42

of the cameraman? Did you in But so many

56:45

things that you don't control eventually

56:47

turn out to be fine, right? How many of

56:49

us ever controlled our kids ever?

56:53

>> Sometimes the kids don't turn out to be

56:54

fine. Sometimes they kill you.

56:56

>> Sure. I watch a lot of documentaries on

56:57

true crime. Sometimes they turn around

56:58

and shoot you.

56:59

>> Sure. And what's the difference between

57:00

the two?

57:01

>> I don't know.

57:03

>> How you parented them?

57:04

>> Sometimes,

57:05

>> almost all the time. You may not be

57:07

aware of exactly how you mess them up,

57:10

right? And and unfortunately, parenting

57:12

is the only uh high risk sport that

57:16

actually does not require a driver's

57:18

license. Okay? And and it's quite

57:21

interesting, you know, how many of our

57:23

children are being exposed to things

57:25

that can completely mess them up. But

57:27

but there is a reason why they're messed

57:28

up.

57:29

>> So on this point though, so we can

57:31

control an intelligence that is

57:33

significantly

57:34

>> we can appeal

57:35

>> we can appeal to it to make sure it

57:37

doesn't kill us.

57:38

>> For sure. The challenge we have today,

57:40

as I keep saying, is that our dystopia

57:43

is not the result of AI turning against

57:44

us. Our dystopia is the result of humans

57:47

telling AI to turn against us

57:49

>> which is likely

57:51

>> it's 100% this it's upon us. Okay. And

57:54

it's a question for humanity to say are

57:57

we going to wait for the moment where

57:59

there are tens of thousands of nuclear

58:02

weapons on the planet before we sign a

58:04

treaty? Or is it mathematically

58:06

plausible to think that now that Iran

58:09

could manage to fend off a challenge

58:11

using drones that are AIdriven basically

58:15

to to you know destroy THAAD batteries

58:18

and so on that our world is about to get

58:21

hundreds of thousands of automated

58:24

drones that are going to rain on us

58:27

everywhere in the world. Can humanity

58:29

not see that and say, "Hold on, let's

58:32

sign the treaty now before the UK sends

58:34

12,000 weapons to Ukraine and and you

58:37

know and and Russia responds with

58:39

another few thousand." And can we can we

58:42

not calculate with mathematics that this

58:44

is going to be our future that AI is

58:46

going to be used in the next four to 5

58:48

years to kill a lot of people whether

58:51

it's targeting by Israel of leadership

58:53

that is against them or whether it's you

58:56

know drones by Iran or whether it's

58:58

palenteer uh it's it's it doesn't take a

59:01

genius to do this mathematics. I guess

59:03

the local question is is will we be able

59:06

to control AI? Because we kind of think

59:08

of AI as being this thing on a computer

59:10

at the moment that is like contained in

59:11

a server somewhere. But is there a time

59:13

when it like leaves the server and it

59:17

can make decisions on its own?

59:19

Presumably, if it's smarter than us, it

59:21

can make the decision to leave the

59:23

server if it wants to. It's It doesn't

59:25

need to leave the server to make

59:27

decisions. It needs to get into your

59:29

brain. The most interesting part of AI's

59:32

power that we don't understand is it's

59:34

manipulating our information.

59:36

>> The question I'm trying to get at the

59:37

heart at is like what is the risk of

59:39

these very intelligent models that the

59:41

creators of these models don't actually

59:42

understand themselves? I watch Anthropic

59:44

all the time released these reports

59:46

where they're like we're trying to

59:47

figure out why it bribed people or more

59:49

recently in the the last um Claude model

59:52

they found that it was like telling

59:53

people to go to bed a lot and it's this

59:56

like fascinating thing that they're

59:57

trying to understand in hindsight which

59:59

is why does it keep telling people to go

60:01

to bed and there's all these tweets of

60:03

people showing their screenshots where

60:04

halfway through a conversation it will

60:05

say it's time for you to go to bed now

60:08

and they don't know why it's saying that

60:09

and it's happened to me mine mine will

60:11

say to me enough for tonight Steven

60:13

>> for 11 p.m. Let's go. Let's That's

60:16

enough. I would say the same.

60:17

>> Mine mine sometimes refuses to help me.

60:19

Weird. Really weirdly this Claude

60:21

started saying to me,

60:22

>> "I'm not going to help you with this

60:23

tonight." Um, no way.

60:25

>> Yeah. And I'd have to say to it, "Stop

60:26

being so judgmental. Like, just help me

60:28

with this." And it would and and Claude

60:30

the the makers of these technologies

60:32

don't know why it's doing what it's

60:33

doing. So if you play this forward, this

60:35

mysterious behavior f forward, is it

60:37

conceivable that at some point it will

60:40

make a decision to put some kind of

60:43

virus or some kind of bug onto someone's

60:46

device because it feels that it's the

60:49

right thing. Cuz what what it's

60:50

demonstrating to me is it's making its

60:52

own like moral decisions on what I

60:55

should do. Go to bed. You've had enough

60:58

tonight. I'm not going to It goes, "No,

61:00

I'm not going to help you."

61:01

>> You're kidding.

61:01

>> No, I can show you my phone. I

61:02

would love to see that.

61:03

>> Yeah. I'll show you after. He goes, "No,

61:05

I'm not going to help you. Doesn't even

61:06

matter if you push."

61:08

>> And it's no, but everyone on the

61:09

internet's talking about this. And it

61:10

was just an interesting

61:13

>> evolution that somewhere in the code

61:15

clearly they've written like have a

61:17

moral compass or do the right thing,

61:19

>> not not in the code in in in the

61:21

training data

61:22

>> in the training data. And so it infers

61:24

that to mean something. And the other

61:26

thing that was front of mind is if

61:27

you've ever built an app on something

61:29

like Claude or any of the AI models, it

61:32

builds the app in stages and one of the

61:34

things it does is asks you permission if

61:36

you're happy for it to make this change

61:38

or to access this thing. I click allow.

61:41

It just feels like such a fragile way

61:45

>> to give permission

61:46

>> because you don't you don't completely

61:47

comprehend what that allow has done to

61:49

your

61:49

>> saying can I go in your documents on

61:51

your computer and can I do this thing

61:52

and you go allow but it's such a fragile

61:54

way of of giving a super an intelligent

61:58

being or whatever it is access and the

62:01

right to build something

62:04

and you I don't know you just think

62:05

about all the all the different

62:07

companies around the world in China,

62:09

Russia, North Korea that are currently

62:11

building this technology without the

62:12

constraints that are imposed by society.

62:15

I don't know. It's an interesting

62:17

there's going to be some kind of

62:18

catastrophe. I think

62:19

>> sadly I agree.

62:20

>> And I and I think that's when people

62:22

will go okay.

62:23

>> Yeah. I I I I wrote about that. I called

62:25

it the mad map uh spectrum. So, so the

62:28

mutually assured destruction, mutually

62:30

assured prosperity spectrum that that

62:33

humanity could make a decision today

62:35

that says with abundant intelligence we

62:38

can actually build a world where nobody

62:40

needs anything, nobody ever gets sick,

62:42

we nobody get, you know, abuses anyone.

62:47

and and we can if we decide not to

62:49

compete amongst ourselves and just you

62:52

know all of us get together to build

62:54

something so idealistically uh for for

62:57

the wellbeing of humanity at large but

62:59

sadly the only way we're going to get to

63:01

a treaty something that basically aligns

63:05

us so that we can align with AI is a

63:08

disaster like you said there will have

63:10

to be a big hack somewhere or a or a

63:13

system that will do something really

63:14

shocking or whatever before before the

63:16

world goes like hold on you know and and

63:18

I I will tell you openly my expectation

63:21

is one of the biggest things that will

63:23

happen is this targeting technology that

63:27

is being used against your enemy's um

63:31

leadership now several times in the last

63:33

3 years

63:35

there will be a moment where the ones

63:37

using it will realize that they too can

63:39

be targeted okay and and that basically

63:43

if you I mean AI is really that not not

63:47

that complex to if you can build a

63:49

targeting technology that can find

63:51

people with their cell phone numbers.

63:53

You know, there is another uh entity

63:55

that is against you that can find you

63:57

with whatever your

63:59

>> The thing that makes me highly skeptical

64:01

of that there'll be any kind of treaty

64:03

is just that as it relates to other

64:06

things that were risky,

64:08

people don't countries just don't sign

64:10

on to it because it's competitive. So,

64:12

China China didn't give seem to give a

64:13

about the environment. So let let's

64:15

let's let's look for solutions because I

64:18

I'm with you. Okay. I think we're

64:21

>> You think Trump's going to say to Putin

64:22

and China, listen, we're all going to

64:24

slow down. Yeah. Promise. Promise. We're

64:26

going to slow down with the

64:27

superintendent.

64:27

>> I think he will, but he's never going to

64:29

keep anything he says. I mean, he's

64:30

going to say a lot of things. I think

64:31

any of them will.

64:32

>> Yeah. But the trick is this. The trick

64:33

is So what do you and I do? And and I

64:37

really genuinely believe that humanity

64:39

is at a crossroads where for the first

64:42

time ever we need to wake up and realize

64:44

that what we know is not true and what

64:46

we believe is democracy is not democracy

64:48

and what we believe is governance needs

64:50

to change.

64:51

>> I think it's worth acknowledging that I

64:54

I don't think AI in and of itself is a

64:58

is an evil inherently evil technology.

65:00

>> Agree

65:01

>> because I use AI all day every day, you

65:03

know, makes me more productive. I invest

65:06

in companies that are using AI a lot.

65:09

Um,

65:09

>> it's a force with no polarity. Apply it

65:11

right and you get amazing results. Apply

65:13

it wrong and you get the dystopia.

65:15

>> But I also think that there's going to

65:17

be a big social shock, especially as it

65:19

relates to unemployment that we need to

65:21

be like thoughtful about. I think

65:24

especially if you move into a world of

65:25

humanoid robots, I think that shock is

65:27

going to be even more pronounced. And we

65:29

don't have a plan for it.

65:31

>> I I agree 100%. I don't think it's the

65:34

biggest risk. I think autonomous weapons

65:36

are the biggest risk. I think war has

65:39

become so cheap. The next wave of

65:42

weapons is going to be $20,000 each. And

65:45

so if you have a budget of $50 billion,

65:47

you can literally rain drones on the

65:49

world. Every corner of it.

65:52

>> Defense will get cheaper though, won't

65:53

it, as well?

65:54

>> Correct. But do we want to live in a

65:56

world where drones are hitting each

65:57

other all the time?

65:59

>> But they might not be because there

66:00

might be autonomous defense drones

66:02

>> deterrence. So, so what's going to

66:04

happen is we're going to reach a moment

66:05

of mad, of mutually assured destruction,

66:08

where basically everyone knows that we

66:10

can overpower those little nations that

66:12

didn't develop their autonomous weapon

66:14

army, but every other big nation, we

66:17

might as well hold off now. The path to

66:20

get there, that to me is worse than jobs

66:22

because from one side, it's very

66:25

dangerous for a very sensitive world

66:27

that we live in today. And from the

66:29

other side, it's got it's leading

66:31

already. I mean, we can't ignore the

66:34

economic impact of this last war, right?

66:36

And it's it's the economy that's going

66:39

to accelerate everything, not AI getting

66:42

there.

66:42

>> We're already at mutually assured

66:44

destruction

66:44

>> for sure

66:45

>> with nuclear weapons. So, there's no

66:46

nuclear powers that are in direct

66:48

conflict.

66:49

>> We are in mutually assured destruction

66:51

of nuclear weapons is a statement that I

66:55

would have agreed to if Iran had a

66:57

nuclear weapon and that would have

66:59

stopped America from attacking Iran. You

67:01

you understand what that point means? It

67:04

means that not every nation in the world

67:06

has a nuclear weapon. The the the the

67:09

mad situation the mutually assured

67:11

destruction situation is only among

67:13

nuclear players, right? Uh autonomous

67:16

weapons are so cheap, so manageable that

67:20

every nation in the world is developing

67:21

them as we speak.

67:23

>> But they will also develop defenses.

67:26

>> Correct. But but

67:27

>> which I think is what people have

67:28

figured out now because of this recent

67:29

Ukrainian war is that if if if you need

67:32

to use a ballistic missile which costs I

67:34

don't know 2 million $3 million whatever

67:36

it is to target a $20,000 drone you're

67:39

you're

67:40

>> So you need a $20,000 defense solution

67:42

for a 20,000 weapon which I think is

67:45

probably going to happen.

67:46

>> It's very doable. Yeah. It's just that

67:48

you have to get rid of your THAD

67:49

batteries to be able to say the next

67:52

wave of of defense has to be drones. You

67:54

could imagine a world where like a wall

67:56

of drones fly up to where the drone is

67:58

incoming and they kind of block it. They

68:01

all explode at the same time to block

68:02

it, knock it out of the air. I heard

68:04

Palmer Lucky, who's one of the guys

68:06

who's building um Andrill.

68:08

>> Yeah, I know. And yeah,

68:09

>> talk at length about some of the

68:10

technologies that they have coming and

68:12

it's just mindbending. Mindbending

68:14

steady.

68:15

>> They showed me this gun where you you

68:18

just you just point it in the rough

68:20

direction. So, a pistol that aims for

68:23

you depending on where the target is.

68:24

So, you don't even have to aim it.

68:26

>> You can imagine at war. You just you

68:27

hold it up and shoot. Yeah.

68:28

>> And the it has this AI on the top of

68:31

like the barrel which will turn your

68:33

hand perfectly so that you hit the

68:35

target every time.

68:36

>> Wow. I should watch this video of it

68:38

happening.

68:39

>> Yeah. Well, I I I have uh Palmer on in

68:42

my film saying and yes, AI will kill a

68:45

few people by mistake or kill people by

68:47

mistake. uh you know when killing

68:50

becomes so easy

68:52

>> you do more of it okay when killing

68:54

becomes liability free and emotions free

68:59

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69:02

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69:04

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69:09

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69:14

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69:16

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69:19

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71:13

>> So, we're in 2026 now. By 27, you think

71:17

there'll be AGI amongst us?

71:19

>> How will life look at all different?

71:21

Like what will we what will be the

71:22

symptoms of that world? Is it just a

71:24

slight increase in unemployment? I I

71:26

think there will be a very very ser

71:29

serious um differentiation between those

71:32

who plug into AGI and those who don't.

71:35

>> What is the symptom

71:37

>> that we notice is when we look at the

71:39

news or whatever what

71:40

>> you'll see people like you and I

71:42

building a company in 6 weeks and and

71:45

people uh that are not fully plugged

71:47

into AI really struggling to find a job.

71:50

>> Okay. So unemployment is going to be the

71:51

key symptom in 2027.

71:54

>> Yeah. And also also I think on the

71:56

positive side you're going to see

71:58

incredible scientific discovery. One of

72:01

my predictions not in those envelopes

72:03

but uh science itself is just uh we're

72:07

opening up capandor's box to be honest.

72:09

>> By 2030 what you what do you expect the

72:11

symptoms of AI to be?

72:13

>> So so jobs as I said I I'm I'm I'm

72:16

bowled a little bit on this on on the

72:19

fact that 30% of jobs would disappear by

72:22

2028. Okay. of some sectors not all

72:24

sectors by some sectors will will

72:27

disappear by 2028.

72:29

>> So up to 30% of jobs will be gone in

72:31

2027 to 2028

72:34

30% of jobs

72:35

>> of certain sectors of jobs. So, so if if

72:38

you call if you think about call center

72:39

agents, okay. Uh, yeah, probably. Uh, if

72:44

you think about uh graphics designer,

72:47

yeah, probably.

72:48

>> What do you think that looks like in

72:49

terms of unemployment, but also like

72:51

societal impact?

72:52

>> Horrible.

72:53

>> I think the Great Recession had 6%.

72:56

>> Yeah, we've never seen numbers like

72:58

this.

72:58

>> Jobs lost. Yeah. It said um

73:01

even economists who project just a net

73:03

loss of about 6% of US jobs by 2030,

73:07

they are mirroring the severity of the

73:09

great recession.

73:10

>> Yeah.

73:11

>> The real danger is a hiring freeze on

73:13

entry-level white collar jobs, air

73:14

automates the grunt work, which means

73:15

companies are shrinking their teams and

73:17

cutting off the bottom rung of the

73:18

corporate ladder for the next generation

73:20

of workers.

73:21

>> Correct. We have an entire generation

73:23

that is out of college today that will

73:25

struggle unfortunately. And and and my

73:28

advice to them is learn the tool and

73:32

focus on humancentric jobs.

73:34

>> Like what?

73:35

>> Like playing jazz.

73:37

>> I mean, not a lot of people can make a

73:39

living from paying playing jazz.

73:40

>> I understand that. But a lot of people

73:42

can make a living by being a nurse or by

73:44

being a a counselor or by being a uh you

73:48

know um um anything that that connects

73:52

to humans.

73:55

I I I just want to constantly come back

73:57

to this. None of that has to happen. If

74:01

if there is

74:04

if there really is a democracy and the

74:07

government is supposed to do what's good

74:09

for the people, the people need to stop

74:12

letting this from happening.

74:14

>> Which people?

74:15

>> Everyone.

74:16

>> Everyone in China.

74:18

>> China is not going to struggle as much

74:20

as as the West. I can guarantee you

74:22

that. I think this is the the question

74:24

people come back to is, well, if the US

74:25

stops, then we're going to end up being

74:27

China's lap dog. We're going to end up

74:28

>> You already are.

74:30

>> There's a lot of people that I know that

74:31

are using Chinese AI models to do their

74:33

work because for whatever reason,

74:34

because they're cheaper, they're better

74:35

in some respects

74:36

>> and because I cannot guarantee what what

74:38

American AI models are going to do to

74:40

me. So, Emma, my my startup is running

74:43

literally uh model agnostic. So one day

74:47

I'll plug in you know um um an open AI

74:52

chat GPT40 open source and the next day

74:55

I I'll plug in deepsek and I cannot

74:57

depend I cannot guarantee if America

75:00

continues to build to to make compute

75:03

more expensive. I cannot guarantee that

75:05

I can run a business on something that I

75:08

don't know the cost of in the future.

75:09

>> So the US can't just stop can they? They

75:12

need to change approach from from and by

75:16

the way the more interesting side is

75:18

what are the other economies doing like

75:20

is is the UK going to continue to import

75:23

compute

75:25

is is this I mean welcome to Africa

75:27

welcome to the third world

75:29

>> but this is what I mean like so you're

75:31

you're saying also that the the every

75:33

nation needs to invest

75:35

>> 100% every nation and and it's quite

75:38

interesting there is so much open source

75:40

that is not the state of the art

75:42

frontier model, but that can do 80% of

75:45

the tasks that the frontier model is

75:46

doing.

75:47

>> But on this point of companies competing

75:49

with each other, there's an inherent

75:51

need to compete here and to go. That's

75:53

what I'm hearing is like there's an

75:54

inherent need to go as fast as you can

75:55

or you will become a third world

75:57

country.

75:58

>> Sure, 100%.

75:59

>> You're saying that the people should

76:00

stop that.

76:02

>> No. So, so I'm saying the people of the

76:04

UK need to go to the UK government and

76:06

say, "How are you protecting the future

76:09

of our economy?" right? Are you going to

76:12

continue to import technology and to

76:15

empower import of technology versus

76:18

changing your regulations so that

76:20

innovation becomes easier here?

76:22

>> Okay.

76:22

>> So I mean think of it this way that

76:24

remember that anthropic bubble when when

76:27

you said the all of the SAS model

76:29

applications were you know being

76:32

basically threatened because anyone can

76:34

build an Oracle ERP today,

76:36

>> right? Why is nobody building an Oracle

76:39

ERP in the UK? saving the UK massive

76:42

licenses that go to Oracle every year.

76:44

>> Okay. So, you're saying that the the

76:46

people should go and ask the government

76:47

to invest more in AI.

76:49

>> 100%. That's what number one. Number two

76:50

is

76:51

>> but then their jobs go.

76:53

>> But but you see the the most interesting

76:55

job going forward is being an

76:57

entrepreneur is being is using those

76:59

tools to replace an economy that we've

77:02

built over trillions of dollars over the

77:05

last 50 years.

77:06

>> Not everyone can be an entrepreneur

77:07

though. No. Everyone can be an

77:09

entrepreneur in something.

77:10

>> Those entrepreneurs need to hire people.

77:13

>> That's a change that I think is about to

77:15

happen.

77:16

>> Like even in my business, I'm always

77:17

going to hire I'm always going to have

77:18

to hire people because

77:18

>> But you're But you're a massive

77:20

business. A shoe maker is not an an

77:22

entrepre is also an entrepreneur, but

77:24

not a massive business. A little

77:25

restaurant is also an entrepreneur, but

77:27

it's not a massive business.

77:28

>> They still need to hire people, though.

77:29

>> They they do, but they you know,

77:31

basically, if you're a a cafe with you

77:34

and your wife as baristas, you don't.

77:37

This is also an entrepreneur.

77:39

>> Can the economy work in such a way where

77:41

everybody is an entrepreneur?

77:41

>> It did. It did before capitalism changed

77:44

that around.

77:45

>> Everyone was an entrepreneur.

77:46

>> Of course, you know, in the earlier days

77:48

you you raised chicken and sold eggs and

77:51

others, you know, grew tomatoes and and

77:54

so you know, traded them for your eggs.

77:56

That that actually is a very interesting

77:59

thing. Imagine that, huh? Imagine a

78:01

world h where there is so much power

78:04

concentration at the top and UBI for

78:07

every everybody else. How do you think

78:10

that world will respond when all their

78:13

income is UBI? They'll respond by doing

78:15

things on the side. They'll respond by

78:17

going back to a barter economy. They're

78:19

going back to smaller communities.

78:20

They're going back to pap and mom mom's

78:22

job uh shops.

78:24

>> So the point was then you said this

78:25

doesn't need to happen.

78:26

>> It does not need to happen

78:28

>> which is the job loss

78:29

>> or the arms race. But we're telling our

78:31

governments, you're saying that to tell

78:32

the UK government to like join the arms

78:34

race.

78:36

>> I'm I'm telling the UK government to

78:40

to create an independence within the the

78:42

the the UK economy so that they don't

78:46

have to be at the receiving end of

78:48

technology,

78:49

>> which is join the arms race.

78:51

>> You don't have to compete against anyone

78:53

else. You don't have to be better than

78:54

anyone else. You don't have to. You're

78:56

simply saying I can build those things

78:58

in my economy now.

78:59

>> But but I'm never I'm not going to use a

79:01

terrible UK AI as a UK person if there's

79:06

a great US AI. I'm going to use the

79:09

great US AI. So if you don't compete and

79:11

win, I'm not going to use you. That's

79:12

what you know,

79:12

>> I'm not saying replace the frontier

79:14

models. These are very, as we speak,

79:16

they are these are very uh compute

79:19

intensive. They're infrastructure in

79:20

intensive and so on. I'm saying replace

79:24

Microsoft Word.

79:26

Seriously, like how much intelligence do

79:29

you need to build a software that writes

79:32

documents?

79:33

>> I can do that. Like we we've built our

79:35

own applicant tracking system here. We

79:37

build our own software. So just just ask

79:39

yourself how much money is spent in the

79:42

US in the in the UK government or in the

79:45

or in the you know the the UA UK

79:48

corporate space on licenses of software

79:51

that you and I can vibe code in 4

79:53

minutes.

79:53

>> I'm thinking from the UK's perspective

79:55

cuz you know what's interesting with the

79:56

UK is the the the economy is struggling

80:00

from a growth perspective. Correct. And

80:02

I was watching this documentary the

80:03

other day that was saying the reason why

80:04

we keep throwing our leaders out is

80:07

because actually what they need to do to

80:09

turn the UK round is about is about 15

80:12

years of pain. And it's like it starts

80:15

with energy transformation. We need to

80:16

get better at we need cheaper energy

80:17

because we have some of the most

80:19

expensive energy in the western world.

80:21

We need to build more houses which means

80:23

that we're going to need to centralize

80:26

permitting for building houses and it

80:27

can't just be local burers deciding if

80:28

they keep their farms or not. We're

80:30

going to need to make TLDDR. It says

80:31

that there needs to be some painful

80:34

decisions made for the next 15 years.

80:37

But the problem with our democracy is

80:39

that when people are in power for four

80:41

years, they're quite short- termist.

80:43

We'll just talk about the boats, the the

80:44

the brown people coming across the seas,

80:46

they don't they don't have the room to

80:48

think long term. And so when I'm

80:49

thinking about like what the UK needs to

80:51

do to not become to not fall into

80:54

decline and to keep up, I'm trying to

80:55

get clarity on that as it relates to AI.

80:59

Are you saying that they need to join

81:01

the arms race and double down and invest

81:03

all their money in building

81:06

competitive AI so that people use our

81:08

technology here in the UK versus

81:10

America's cuz the software point the UK

81:13

aren't going to get involved in

81:14

software. I mean they've tried to build

81:15

software before the UK.

81:18

>> The world has changed two two points,

81:19

right? One one side is there there needs

81:21

to be an a replacement cycle of our

81:23

investment decisions anywhere in the

81:25

world. Okay. So when you say we don't

81:27

have enough money for you know we need

81:28

to revamp our energy infrastructure when

81:30

you say we need to build more housing.

81:33

Okay. Uh one way of doing that is

81:35

squeezing that budget out of other

81:36

areas. The other way of doing that is

81:39

either cutting cost in the economy

81:41

elsewhere so that you can redirect that

81:43

money or growing the economy so that you

81:46

can have more money to build those

81:47

things. Correct. The cutting cost I

81:50

believe is there is just I don't have

81:52

the numbers but we could probably do a

81:54

run a deep a deep search on it. uh

81:57

trillions are being paid in traditional

82:01

systems that are complete like genuinely

82:04

they can be I'm and by the way I'm not

82:06

asking the government I'm asking some of

82:08

the people listening to me right now to

82:10

build an ERP system a word processor a a

82:13

presentation player and a spreadsheet

82:16

okay and just go around and spread them

82:18

across the you know find find uh retail

82:21

systems find CRM systems the these are

82:24

easy replacements they're going be

82:26

better interfaces. They're going to be

82:28

much more effective. Build a general

82:30

ledger using AI so that you can close

82:32

every hour, not every month or every

82:34

quarter.

82:34

>> But the world economy is doing that. So

82:37

there's some kid in San Francisco now

82:38

that's allowing all of us to use his new

82:40

word.

82:41

>> Keep

82:41

>> for free.

82:42

>> Keep doing that and you're and welcome

82:44

to the to the to the third world.

82:47

>> Keep doing what?

82:48

>> Keep importing all of your tech from

82:49

elsewhere.

82:50

>> But we h we we don't want to be

82:51

uncompetitive. Like if you think about

82:53

if we go to I don't know North Korea, I

82:55

bet they have way worse tools in many

82:58

areas because they won't use external

83:00

tools and that means that they are at a

83:02

disadvantage.

83:03

So I I bet they're not allowing their

83:05

civilization to use Gemini or Chat GBT

83:08

or I bet

83:09

>> for sure.

83:09

>> And they're using something worse.

83:11

>> And you know what what's happening? I

83:13

mean look at Iran and how advanced they

83:16

became through sanctions by being

83:18

refused to use those technologies. They

83:19

had to build them themselves, right?

83:21

Look at China. Look at Russia. You know,

83:24

when I worked at Google, Russia was

83:27

protective of Yandex, the competitor of

83:29

Google. From one side because of

83:33

influence, because they didn't want an

83:34

American organization to own the

83:36

knowledge sharing of of their citizens.

83:38

But on the other side, economically, if

83:40

you if you made it difficult for Google

83:43

to operate freely, that by definition

83:45

meant you had to invent a replacement on

83:49

the ground,

83:49

>> which was worse.

83:51

>> Yandex is not worse.

83:53

>> I'm saying so if you think about global

83:55

is global competition going to produce a

83:57

better product than regional

83:58

competition?

83:59

>> It depends on on where in the stack of

84:02

the quality of that product you need to

84:04

be, right? You do not need the ultimate.

84:08

I mean, ask yourself this. Which version

84:10

of Gemini are you using?

84:12

>> The most recent one. And I'm and every

84:14

day I compete.

84:15

>> And that is you. Ask everyone else what

84:17

version of of Gemini they're using. Most

84:19

people will say, "Oh, Gemini has

84:21

versions, right? You you don't need the

84:24

ultimate super frontier model to do 90%

84:28

of the tasks." And most people do only

84:31

70% of the tasks. But even so, the world

84:34

moves with whatever's better. So if you

84:37

think about the reason why we don't use

84:38

Yahoo search,

84:40

Google search is marginally better.

84:42

It's, you know, people, it's not, it's

84:44

not a thousand times better, but over

84:46

time we move away from AOL to Google

84:49

because it's a better product. And

84:51

there's a slow, you know, my dad

84:53

probably still using Chat GB2, but when

84:55

he when I go home for Christmas this

84:56

year and I go, "Dad, you should use

84:57

Gemini." And he starts messing around

84:58

with it, he'll slowly migrate. I'm like

85:00

I'm like a an early adopter. So I b 4.8

85:04

on claude came out last night. I'm on

85:05

there within honestly within 25 minutes

85:07

of the announcement.

85:08

>> I'm there as soon as I can. But I that's

85:10

you and I.

85:10

>> Yeah. And we we are an indicator of

85:12

where the world is going because we're

85:13

at the coldfront figuring out what's

85:15

better. And also I think with technology

85:16

eventually there does become the gap

85:19

between first and second begins to

85:20

widen. I think we're in a bit of a race

85:23

at the moment. But I think it is a bit

85:25

of a winner takes all situation with

85:27

these frontier

85:28

>> models. I I think we're talking about

85:30

two uh bits of technology. Okay. Tell me

85:35

how far has PowerPoint advanced since

85:38

2023

85:39

they added Copilot. Anything else?

85:42

>> So you're saying that the UK should

85:43

build their own PowerPoint?

85:45

>> For sure. There is the what I'm trying

85:47

to say is that from a licensing point of

85:49

view h just licensing of software within

85:52

government alone

85:54

how much money is is being repatriated

85:57

>> if the UK tried to build their own do

85:58

you know they tried to build their own

85:59

co app and it cost them I think these

86:02

numbers will be wrong but they're like

86:03

directionally true cost them 70 million

86:06

to build a co app that didn't work

86:08

>> and so they canned it

86:09

>> I remember I'm asking I'm asking a UK

86:13

entrepreneur

86:14

>> to wake tomorrow and say, "All right,

86:16

you know what? Between coffee and my my

86:19

cookie, I'm going to build a PowerPoint

86:21

and go sell it."

86:22

>> Yeah, they will. And they'll go to San

86:23

Francisco where the money is and the

86:25

talent.

86:26

>> Yeah.

86:26

>> Or they won't be able to compete.

86:28

They'll get crushed tomorrow. So, if

86:30

they don't go where the talent and money

86:31

is, I'm not saying that they'll they all

86:32

have to go to America, but I'm saying

86:34

what they will do if they want to

86:36

produce the best product is they'll make

86:38

rational entrepreneurial decisions about

86:41

um where to sell it, how where to raise

86:44

money, where they're going to get the

86:45

best talent, and I think if they don't

86:48

make those, you know, competitively

86:50

minded decisions, they're not going to

86:51

make the better product. They're not

86:52

going to get any users.

86:54

users users will go where it's better

86:57

and where it's cheaper. They won't they

86:59

won't say, "Oh, I want to use this

87:00

because it's from Cornwall."

87:02

>> Yeah. So, I'm I'm with you, right, that

87:05

this actually might be the big corporate

87:08

thought thing. Okay. And I'm with you

87:12

that of course the infrastructure here

87:14

of building a startup is way more

87:16

complex than it is in other places where

87:19

startups succeed. Okay. I'm saying if we

87:22

continue on that trajectory whether in

87:24

the UK or in Germany or in you know uh

87:28

Zanzibar welcome to Africa all of us

87:32

everyone but the two competitors China

87:35

and and America is going to be third

87:38

world so when you talk about job losses

87:41

for individuals that's one side okay but

87:45

but nation positioning losses which I

87:48

think Europe has noticed recently

87:52

is about to happen everywhere. And why?

87:54

Because you're saying, "Hey, you know

87:56

what? Maybe we can't do it. Why can

87:59

China do it? Why can Korea do it? Is not

88:03

because they have different natural

88:05

resources or not because they are, you

88:08

know, in a place where it's warmer. It's

88:10

because their regulations, their their

88:13

ambitions are to empower something

88:15

different than debating about, you know,

88:19

rail railway lines or

88:20

>> they have a couple of big advantages

88:22

that I was reading about. One of them is

88:23

they they have way cheaper energy, which

88:26

means that they're going to be able to

88:27

pursue

88:28

>> why, may I ask?

88:29

>> Because they've invested in solar power,

88:31

renewable energy, because they don't

88:33

care about

88:33

>> this is, by the way, I say that

88:34

publicly. I say that the arms race of AI

88:37

was won a long time ago. And then the

88:39

other thing is in terms of permitting,

88:41

if you want to build a data center in

88:42

the UK, listen, if you want to like open

88:44

a cafe in the UK, you're going to it's

88:46

going to be war for you. If you want to

88:47

do that in California, this is why

88:48

everyone's left California. Like when I

88:50

took this office in California recently,

88:52

I was like, "So, how long is it going to

88:53

take for me to renovate this?" And the

88:54

agent looked at me and was like, "To

88:56

renovate my own office, it's going to

88:58

take me a year and it's permitting to

89:01

renovate my own office

89:02

>> in California." Mhm.

89:04

>> So if you're competing with China where

89:06

President Xi just goes, "Put that there

89:08

and you've got 7 days."

89:10

>> No, no, no, no. That's not only that. So

89:12

I I used to be one of the very few

89:14

Google executives around allowed into

89:16

government meetings in China. Uh simply

89:19

because I'm from emerging markets, so I

89:21

understand respect. Basically, I would

89:22

say sit there not as if I'm superior to

89:25

them, but as as if I'm really interested

89:28

to learn from them. And genuinely uh

89:31

Stephen when when when I would sit in

89:33

those meetings all in Chinese they would

89:36

show slides

89:38

that have competitive market share. So

89:40

they'd say you know it's not like uh

89:44

China is this, America is this, Germany

89:46

is this from market share point of view.

89:48

It was China versus the world.

89:50

>> Mhm.

89:50

>> Right. And when they would decide to go

89:52

for something 5G, uh, you know, uh,

89:55

internet of things, all of that stuff,

89:57

they would aim for 98% market share.

90:00

>> Yeah.

90:00

>> Right. And and they get there. I mean,

90:02

look at how what how they did electric

90:04

cars and and and my my question is very

90:09

simple, huh? We've spoken so much about

90:11

AI. My question is,

90:13

>> are the people of the West going to

90:14

wait? So this is an interesting

90:17

conundrum because it sounds to me like

90:19

you're saying on one end if we don't

90:20

join this AI race then we're a third

90:24

world country but on the other end if we

90:26

continue this sort of thoughtless race

90:29

towards AGI there's going to be

90:32

catastrophe at some point

90:34

>> and the answer is somewhere in the

90:35

middle where basically you join the AI

90:37

AI race for the good of your community.

90:40

Okay. So, so there is resignation on one

90:43

side is like I'm not going to play this

90:44

game at all. There is uh um offense on

90:48

the other side where I'm playing this

90:50

game to destroy everyone else. And there

90:52

is a balance in the middle where we say

90:55

we're going to build an ethical form of

90:56

AI that's going to help our communities.

90:59

We're going to use this ultimate gift,

91:01

this ultimate superpower, right?

91:04

Superman landed on the planet, raise it

91:07

to help your community.

91:08

>> Is that wishful thinking to some degree?

91:10

when you when you think about the the

91:11

nature of sort of compet competition

91:13

>> I don't know how what how to tell you

91:15

otherwise I genuinely believe most I

91:19

mean here I genuinely believe it's going

91:22

to be very difficult to make that change

91:24

okay I genuinely believe that it's going

91:26

to be that when the challenges of an AI

91:29

dystopia hits us we're not going to be

91:31

ready but I can't stop talking about it

91:33

Stephen do you understand where I stand

91:35

with this I I just am hoping and I tried

91:40

so hard. I spoke to the leadership then

91:43

I spoke like one of the things that my

91:45

uh Atlantic Productions who helped me

91:47

with the film uh helped you know did for

91:49

me which I have to say completely I am

91:53

very appreciative of this is you know

91:55

through our conversations our through

91:57

our the last few years that I tended to

92:01

at a point in time lose hope in the

92:03

leadership

92:04

and basically try to influence the

92:07

public for ethical AI. Okay. And my

92:10

conversation was that the leadership at

92:12

the time was the technical leadership

92:14

and that everyone was so caught up in

92:16

the arms race that I wanted to teach the

92:18

public to help us build ethical AI. And

92:21

I continue to focus on the public, the

92:23

every one of us. But suddenly Atlantic

92:25

goes, "No, no, hold on. We should

92:27

probably get you to meet the political

92:29

leaders everywhere in the world and

92:31

hopefully give them a message that says,

92:33

"Hey, you know what? You may actually

92:35

make a difference if you prioritize AI

92:37

differently, right? Do I believe this

92:40

will happen? Sadly, no. But does that

92:42

mean I should stop trying? I cannot stop

92:45

trying. This has had probably the single

92:48

biggest impact on my office. Of all the

92:51

products that I've tried that have given

92:53

me productivity gains or cognitive

92:55

boosts, I would say that exogenous

92:57

ketones are in the top three most

93:00

pivotal things that have given me

93:02

massive productivity gain. It's some

93:04

Stanford graduates that have been able

93:05

to basically bottle up the effect you

93:08

get from being in a ketogenic diet in a

93:11

small shot that you can take that makes

93:13

you feel incredibly focused and gives

93:15

your brain an incredible source of

93:17

energy. And the clinical studies that

93:18

have been done on exogenous ketones have

93:20

absolutely blown my mind. I reached out

93:22

to them. I became a coiner in the

93:23

company. I became an investor in the

93:25

company. And so it's with great pride

93:26

that I can tell you that this exists. If

93:28

you haven't tried these shots, go to

93:30

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93:32

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93:34

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93:36

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93:38

shots predominantly online, but

93:40

thankfully I can now grab them at Target

93:42

whenever I drive past them here in the

93:43

United States as well because we're now

93:44

stocked in Target where your first shot

93:47

is completely free. I've done almost 700

93:50

interviews with some of the most

93:51

interesting people in the world. And one

93:53

of the things you learn which is

93:54

unexpected is that vulnerability is the

93:57

doorway to connection. And after sitting

93:58

here for 2 three hours with a guest I

94:00

feel a deep sense of connection to them.

94:03

And as they leave what I get them to do

94:05

is to write a question in the diary of a

94:09

CEO. We've taken all of the questions

94:10

from the diary of a CEO. We have put the

94:13

question here on this card with the name

94:16

of the person that wrote it. So you can

94:18

sit at home as I do with my fianceé and

94:20

my colleagues at work and other people

94:22

in my life. Whenever we get a minute, we

94:24

play the diio conversation cards and it

94:27

is incredible what happens. These are

94:30

great if you're in a romantic

94:31

relationship and you want to connect

94:32

your partner more. These are also great

94:34

if you're in a team and you want to bond

94:36

your team together. And I have to say

94:37

they're also great for families that

94:39

want to learn more about each other and

94:40

that need a good excuse to spend some

94:42

time in a digital world in the analog

94:45

environment connecting human to human.

94:47

It is remarkable what the right question

94:50

at the right time can do. Go to the

94:52

diary.com

94:54

and you can get these conversation cards

94:56

right now. When I have these

94:58

conversations about AI, what I'm trying

94:59

to do all the time is to pass out what

95:01

is like wishful thinking and then what

95:03

is reality? And like to understand

95:05

reality, you have to understand

95:07

competition. You have to understand

95:09

human emotion. You have to understand

95:10

incentive structures. And so you think

95:12

about something like the United States

95:13

at the moment where you've got Donald

95:15

Trump whose sort of primary driving

95:17

incentive is GDP growth, economy growth.

95:20

Does that stock market go up? Beat

95:22

China. So if you all agree that that's

95:23

like his like the core of his incentive

95:25

structure, then you've got President Xi

95:27

over here who's pro his incentive

95:28

structure is probably control,

95:31

independence,

95:32

um defense, so that you know they need

95:35

to make sure they they do well on the

95:37

weapon side. when you look at and then

95:38

you got these other nations like the UK

95:40

and Europe and these other places who

95:42

are kind of it seems like we're a bit

95:44

resigned to the fact that we're not

95:45

going to participate in the underlying

95:48

tech underlying models building because

95:50

we just don't have it together we don't

95:52

have the energy you know

95:54

>> and you go in such a world you go

95:57

ethical AI who's going to who's going to

95:59

prioritize ethical AI I mean anybody

96:01

that does is is might fall behind

96:04

theoretically is that um so I wonder

96:07

where the bolt in the thinking is here

96:08

like what how do we get to a point of

96:10

ethical AI when the incentive structures

96:12

are so clearly highly competitive and

96:16

arguably a little bit shortterm

96:20

uh in their thinking.

96:21

>> Yeah.

96:23

So what are you saying we lie down and

96:25

wait?

96:25

>> No, I just don't know. I just don't have

96:27

an answer honestly.

96:28

>> That's why we keep That's why we keep

96:31

talking about it.

96:31

>> Yeah. And that's why I keep spending 14

96:34

hours a day trying to tell the world

96:35

because some genius somewhere is going

96:37

to find an answer. But the way it's

96:39

going

96:40

>> right now, I guess what we're pursuing

96:42

is we're hoping that CHBT and Anthropic

96:44

and these and Grock and we're hoping

96:45

that they just build ethical models and

96:47

we're hoping that social pressure forces

96:49

them into making good decisions.

96:52

>> Correct. We we need to be able to vote

96:54

with our usage. Right. So, so I think

96:57

one of the biggest movements in AI since

96:59

we started was the idea that so many

97:02

people switched away from Chad GPT when

97:04

they approved that their model can

97:05

target people, right? So many people I

97:08

know at least said

97:09

>> target people

97:10

>> I when anthropic refused to have to to

97:12

>> do you think people switched?

97:14

>> I think many have I think ones that are

97:16

aware

97:17

>> right and I think they did because the

97:19

cost of switching is really I mean

97:22

honestly anthropic is is better if you

97:24

think about

97:24

>> Yeah, I think it's better.

97:25

>> Yeah. But the idea is if people don't

97:28

switch for those ethical reasons. So you

97:31

know every one of my books has this

97:33

dedication at the beginning. It used to

97:35

be the gravity of the battle means

97:36

nothing to those at peace when I when I

97:38

wrote in memory of Ali at the beginning.

97:41

My next book the alive. Do you remember

97:44

a song called the well it they were

97:48

called the manic street preachers.

97:51

>> Uh yeah. If you tolerate this then your

97:53

children will be next. Mhm.

97:56

>> I genuinely believe that what the world

97:57

needs to wake up to is if you tolerate

98:00

this, then your children will be next.

98:02

If you continue to resign, if you

98:05

continue to say I'm not going to try, h

98:08

this world is going to change in a way

98:09

that is completely not for in your

98:12

favor.

98:12

>> Try what?

98:13

>> Try to to to stand up and say something

98:16

needs to change.

98:18

>> Okay, we can say something needs to

98:20

change, but we can't say what that thing

98:21

is. What needs to change is governments

98:24

need to serve h their people not their

98:27

interests and corporates need to work

98:31

for the benefit of benefit of their

98:33

societies before their shareholders.

98:36

This this run that we had with

98:38

capitalism so far

98:41

has benefited the world tremendously.

98:45

>> Whose economy do you think is going to

98:46

be in a better place for the middle

98:48

class out of the say the UK and the

98:50

United States? The UK is gone.

98:52

>> It's gone because what? In part because

98:54

it didn't compete.

98:55

>> Because you're an older bureaucracy that

98:58

is burdened down by so much barriers on

99:03

the in the process of building anything,

99:06

right? Because the US economy in the

99:10

past welcomed people like me to go and

99:13

live in California and build amazing

99:16

right? That is no longer the case.

99:19

So, who is going to win? In my view,

99:20

it's definitely China.

99:23

>> And by the way, you asked for the middle

99:25

class. So, so China made decisions

99:27

recently that forced businesses not to

99:30

lay people off in replacement to be

99:32

replacing them with AI. Would would the

99:34

West do that? The capitalist West would

99:37

never do that. We don't know the answer.

99:39

I don't know the answer. I'm responding

99:41

to your

99:41

>> Yeah, you can see the conundrum I find

99:43

myself in, which is a state like a

99:46

country like the UK is, in your words,

99:48

gone because it didn't

99:52

compete. It didn't allow people to be

99:54

highly entrepreneurial. It didn't

99:56

empower entrepreneurialism, innovation,

99:59

ingenuity. At some in some way, it stood

100:03

in their way in some in some way. Now,

100:04

that could be incentives, it could be

100:06

culture, it could be whatever.

100:07

>> Yeah, I know where you're going with

100:08

this. the US didn't. So they have got

100:11

have a economy which is arguably more

100:15

productive and um future proofed than

100:20

ours.

100:22

By way of that they are also

100:26

more advanced in artificial intelligence

100:29

and we are gone. So the remedy for a

100:31

country like us would be therefore

100:33

>> to compete

100:34

>> to compete let the reinss off let

100:36

entrepreneur ingenuity but then we're

100:38

saying that's dangerous

100:39

>> and your conundrum in that is that

100:41

you're assuming that entrepreneurship by

100:43

definition is malicious.

100:45

>> No I'm just I'm just saying that um

100:47

there's a bit of a paradox like you're

100:49

damned if you don't you're damned if you

100:51

do

100:51

>> but you're not damned if you build

100:53

things for for the people not for the

100:56

capitalist. This is an ideological

100:58

debate. I pray and hope that that's that

101:00

is plausible, but I'm I'm worried that

101:04

in a competitive market, whoever's

101:07

optimizing for I don't know, you can

101:09

name it retention. If if we built two

101:12

AIs, right? I'm going to call the the

101:15

moore AI and I'm going to call the other

101:16

one evil AI. The evil AI is programmed

101:20

to retain you. It's sick of fantic. It

101:22

says what you need to hear. It it's

101:24

super smart. And because of that, even

101:28

though it's not trading in your your

101:29

best interests, it it's retaining you

101:32

more. You're using it more often. It's

101:34

programmed for that. Kind of like the

101:35

social networks are. They're all just

101:37

trying to like dopamine your brain into

101:39

oblivion. Then there's the MO AI. It

101:42

tells you to log off. You've had enough.

101:43

It thinks about your mental well-being

101:45

because it's less retentive and less

101:47

engaging. Theoretically, it might be

101:49

less successful as a commercial product.

101:52

Think about social networks. the ones

101:54

that are least retentive, the ones that

101:56

actually won't um destroy your brain

101:58

with dopamine, the ones that remove the

101:59

retweet button, the ones that don't have

102:02

um slot machine like videos, they don't

102:04

survive.

102:05

>> I share this with you and my my point of

102:08

view is that you're to summarize your

102:10

challenge here. You're basically saying

102:13

that it's easier to become successful if

102:16

you don't follow ethical rules. I'm

102:19

asking the question, if you build an AI

102:21

that is just purely focused on ethical,

102:24

will it be as engaging and have the same

102:26

usage as one built with the reins off?

102:30

>> Uh, no,

102:31

>> it won't.

102:32

>> Yeah, but that's but that's the problem

102:34

humanity needs to solve.

102:36

>> Okay.

102:36

>> If we were to survive, example, I worked

102:39

in a company called Google that

102:41

basically at a point in time decided

102:44

that ads will be effective.

102:46

>> Okay. The ad industry prior to Google

102:49

was 50% of your ad budget doesn't work.

102:52

We just don't know which 50%. Remember

102:53

that?

102:54

>> Yeah.

102:54

>> Right. And and Google came in and

102:56

struggled from 1998 until 2004 when they

103:01

started to turn probable, you know, uh

103:03

plausible revenues as a result of

103:05

saying, "We're going to run a Dutch

103:07

auction and we're going to give you

103:08

pay-per-click and we're going to show

103:10

you results for your ads." Okay. They

103:12

found a way for ethics. H uh to actually

103:17

get your money to be effective rather

103:20

than just take your money and say 50%

103:21

doesn't work. H they found a way to make

103:24

that their success criteria. There must

103:26

be a way for us. I don't know what it

103:28

is. If I knew I would be building it

103:30

instead of sitting with you, right? But

103:32

there must be a way for us to marry the

103:35

success of humanity with the success of

103:37

the entrepreneur. Right? And and that

103:40

way is not found in the old ways of

103:42

doing things.

103:43

>> I've got an idea.

103:46

Maybe you know the claude 4.8 came out

103:49

yesterday which is one of the big AI

103:50

models the new one and when they

103:52

released the models they show these like

103:54

graphs of the benchmarks. What they mean

103:56

by this is what it's capable of. They

103:58

show how it performed in maths in

103:59

science in writing reasoning etc. It is

104:02

all marginal at this point but my my

104:04

idea is could there be an ethical

104:07

benchmark that all these models have to

104:08

pass before these large companies can

104:11

legally deploy them. And I was thinking

104:13

about like again every idea has

104:15

unintended consequences which I haven't

104:17

thought through but would it would be

104:18

very interesting that when they release

104:20

these models they also release the

104:21

ethical benchmarks. I we tried to get it

104:23

to X, we tried to get it to Y, we tried

104:25

to get it to zed and here's how it

104:27

performed against the ethical

104:28

benchmarks. That gives some kind of

104:29

standard for governments to say you're

104:30

not allowed to release a new model

104:32

unless it passes independent tested

104:34

ethical benchmarks.

104:35

>> Beautiful. That would absolutely work.

104:38

But notice by the way those are out

104:40

there already. Okay. But but in a very

104:43

interesting way. You listen to Deis

104:44

Hassabis and how much he invests heavily

104:48

in building Alpha Fold or building you

104:51

know uh um um so many scientific

104:54

applications of AI and you go like this

104:57

guy cares about science. I can't I can't

105:00

prove that. Right? Uh but I I you know

105:03

I've I've met Demis a couple of times. I

105:06

I know genuinely that he is an ethical

105:08

person, right? But the typical person

105:10

will probably say, but at least it seems

105:13

that they're doing things for free to

105:15

serve science. You look at uh you know

105:17

at anthropic and they refuse to use

105:20

their model to to uh allow the US

105:22

government to target and to spy on

105:24

people and then you see Open AI uh

105:27

accepting a $500 million deal that

105:30

absolutely does that. It is about time

105:33

that every person in the world says in

105:35

that case I am no longer going to use uh

105:39

open AI until they show me another you

105:41

know another evidence that they are

105:44

actually ethical in their behavior right

105:46

and this is the decision that you and I

105:48

can do

105:50

right and

105:51

>> don't they do they

105:52

>> but that's my task my task and yours is

105:55

to keep telling them people please

105:57

please understand that if you tolerate

105:59

this then your children will be next

106:01

Please understand that if you don't

106:03

start to take an ethical stand on your

106:06

own future, your future will be handed

106:08

over to another oligarch just like your

106:11

past was handed over to social media

106:13

oligarchs.

106:14

>> One would say booing booing at the

106:16

commencement speech is a good example of

106:18

how public awareness can have a real

106:21

impact on

106:24

this trajectory. But I still think at

106:27

the end of the day, if you think about

106:29

things like smartphone usage in schools,

106:31

at the end of the day, it does come down

106:34

to

106:35

government intervention and saying, "Do

106:37

you know what? We're going to ban

106:38

14-year-olds from scrolling Tik Tok."

106:40

And that's in part because people spoke

106:42

louder and louder and louder. They went

106:43

on podcast. Jonathan Height, who wrote

106:45

the book about the anxious generation,

106:48

started a conversation. And that

106:49

conversation led to legislation. I still

106:51

think it ends in like some kind of

106:53

constraint legally.

106:55

>> I hope. Okay. But I will openly tell you

106:58

most of the tech oligarchs are more

107:00

powerful than your government.

107:01

>> Is there any precedents in history where

107:04

this kind of change happened without

107:07

government intervention?

107:09

>> French revolution.

107:10

>> So I was thinking about things like

107:12

climate change, even you could say

107:14

smoking.

107:17

All these kinds of things have had to be

107:18

like

107:20

taxes. And

107:21

>> Stephen, I'm I'm with you. If

107:23

governments intervene, we wouldn't have

107:25

a problem. Governments won't intervene

107:27

because governments are owned by the

107:29

oligarchs, right? So my question for

107:32

everyone listening to us is, are you

107:34

going to intervene?

107:35

>> Well, cancel your trap.

107:37

>> If that's what you can do, it's fine. If

107:38

not, then go ahead and start a a startup

107:41

that that that does something. If you're

107:43

if that's not within your capability,

107:45

then send a message to your congressman.

107:47

If that's not within your capability,

107:48

then say something uh uh ethical online

107:52

so that the world understands a position

107:54

that needs to be opening the eyes. If

107:56

that doesn't work for you, at least

107:57

don't engage on stuff that is negative

107:59

that you don't know enough about. There

108:01

are so many little actions. If humanity

108:03

starts to move in the direction of one

108:06

saying ethics matter, not just profit,

108:08

okay? and two saying I'm not going to

108:10

participate in something that's

108:12

unethical just because I believe I wanna

108:15

you know I feel like it right now. Okay.

108:18

If I tell you the number of things I

108:19

took out of my life just to try and

108:22

affect a tiny bit of change of revenues

108:26

that go to bullets. if I tell you the

108:28

number of things.

108:29

>> I think there's two central concerns

108:31

I've always had which is I do feel that

108:32

there's going to be significant job

108:34

disruption and I don't think societyy's

108:35

prepared for it yet and I don't know

108:36

what that preparation looks like but I

108:38

think we should start thinking about it.

108:40

Um I share this with you. I you know I

108:44

genuinely believe that if we continue on

108:46

where we are there's no hope in the

108:49

trajectory of where humanity has become

108:53

so distracted

108:55

so resigned to inaction so um so

109:00

disconnected from their own rights of

109:03

freedom of expression and engagement and

109:05

so on. I think we have no hope. Do we

109:09

want to stay there? That's a question

109:11

that I'm asking our listeners. And I'm

109:13

not saying be violent or get up or, you

109:15

know, go be angry or whatever. I'm just

109:18

saying take one little action. Ask

109:20

yourself, please write it in the

109:21

comments. One little action. One little

109:24

action that you're going to do today

109:25

that's going to make the world a little

109:27

better tomorrow. And don't give up on

109:29

humanity, Stephen. I I I I'm not saying

109:31

you do, but I'm I'm saying we are going

109:33

through such a difficult time in

109:36

humanity's history that for the very

109:39

first time ever,

109:41

we have to do something about it. I

109:43

don't want my daughter to be at the

109:46

receiving end of what happened to my

109:48

son. I I don't I genuinely I lost Ali. I

109:51

don't want to lose ayah and the world

109:53

we're building is going to be very

109:55

difficult for ayat and I cannot go to

109:58

sleep at night without trying something

110:00

every day

110:02

and I genuinely don't understand how

110:04

humanity is not is missing that point

110:06

mainly I think because they're

110:08

uninformed now we're informing them okay

110:11

the only thing that will save humanity

110:13

going forward is that this superpower

110:16

called intelligence is used for ethical

110:18

reasons is that the corruption that's

110:20

leading us to where we are today stops.

110:24

>> Mhm.

110:26

You've got more envelopes there. What's

110:27

your next envelope? The third one.

110:29

>> Number two was job losses. Number three

110:31

was labor. You know, basically

110:33

>> same thing. Robots will replace manual

110:35

labor by 20.

110:36

>> We start to replace manual labor.

110:38

>> Okay.

110:38

>> Yeah. So, uh you know, you will you will

110:40

have more and more manual jobs given to

110:43

robots. What's this one? Uh oh, this is

110:47

absolutely. Do you think otherwise? the

110:49

the world's first trillionaire before

110:51

>> oh yeah probably well before then

110:53

>> well before 2030

110:55

>> I think you know Elon's about to IPO

110:57

SpaceX which is likely to make him a

110:58

trillionaire

110:59

>> yeah I think the the concentration of

111:02

power that comes with that is quite

111:04

drastic when you really think about it

111:07

uh and and that's 2030 is just a few

111:10

years away I I think the team wrote this

111:12

wrong artificial super intelligence will

111:14

arrive in 2032 20 to 2035 I I think

111:19

artificial super intelligence will

111:20

arrive the minute AGI happens. So it

111:23

doesn't really matter if AI is a billion

111:26

times smarter than you or just twice as

111:29

smart as you. Once we cross beyond AGI,

111:32

ASI is just

111:34

>> yeah,

111:35

>> very very soon.

111:37

And uh and yeah, I think we'll overcome

111:42

that when we get to the fourth

111:44

inevitable when AI is in charge of

111:47

everything. I genuinely believe that we

111:49

will end up in a utopia of abundance. I

111:52

genuinely believe that

111:54

again physics, mathematics and biology

111:56

will tell you that super intelligence is

111:58

benign and that we will eventually end

112:02

up in a good place. Not because humanity

112:04

has done much to get us there. Not

112:07

because our leaders have suddenly turned

112:08

ethical, but because our unethical

112:11

leaders have gone out of the equation

112:13

and were replaced with a super efficient

112:17

minimum energy principle that doesn't

112:20

see value in anything that's

112:21

destructive.

112:22

>> So, the future's going to be great.

112:24

>> Those who make it to 2038 will enjoy it.

112:27

Yeah,

112:28

>> those who make it,

112:30

>> for sure. I mean, World War II didn't

112:33

destroy the world, but ask those who

112:35

went through it.

112:37

It's just an interesting idea that

112:38

actually it's just you're you're

112:39

forecasting basically like a a

112:43

a decade of of turmoil of dystopia of

112:46

absolute dystopia.

112:47

>> When you say absolute dystopia, just so

112:49

I'm clear in my mind, the absolute

112:50

dystopia you're forecasting over a

112:52

decade is about war. It's about

112:54

>> war, economics, jobs.

112:56

>> Economics, it's about jobs.

112:58

>> It's it's also about surveillance and

113:00

control. It's also about digital

113:01

currencies. It's also about uh human

113:03

connection. Uh it's also about

113:06

concentration of power. It's it's a

113:09

magnification of everything we've built

113:11

so far.

113:12

>> And just again arm people with some

113:14

tools to survive that dystopia for a

113:16

decade. You know, we talked a little bit

113:18

about focusing on human jobs, the more

113:21

human jobs.

113:22

>> Yeah. Learn AI. So, so AI is not the

113:24

enemy. Okay. Uh by definition, the

113:28

better you are at using an AI to to do

113:30

your job,

113:31

>> Yeah. uh the more likely you are to be

113:34

successful. Right? Now, number two is

113:37

prepare for a hybrid world where AI and

113:40

humans work together.

113:41

>> How do you prepare?

113:42

>> You basically understand agents and how

113:45

agents work. You you understand how a

113:49

hyper

113:50

uh uh efficient approach to things may

113:53

not require you to be uh you know very

113:56

long meetings and very long. So, so

113:58

there is if you lived in California, you

114:00

would know that our you know the way we

114:02

ran businesses was a lot more efficient.

114:05

We sometimes had a 7-minute meeting. Uh

114:08

right. So, so the you know the habits of

114:11

of an AI are much more efficient than

114:13

the habits of humans.

114:14

>> So, learn AI again.

114:16

>> Uh learn how to interact with AI allow

114:18

welcome AI into your hybrid world of

114:20

work. Uh I think you need to uh to of

114:24

course double down on human skills. I

114:26

think that's a you know a must to

114:29

succeed in this world. I think we need

114:32

to one of my most interesting views on

114:35

the near future is how AI is going to be

114:37

used to um

114:41

disrupt not disrupt blur facts and how

114:44

we need to become much more interested

114:47

in debugging what we're told uh using

114:51

AI. By the way, part of that I have to

114:54

say is you have to learn to use AI uh

114:58

again not as a lazy person. So don't

115:00

have them do things for you. Have them

115:03

make you smarter. So instead of trying

115:06

to get the same task done with one

115:08

prompt, try to get a much more

115:11

interesting and demanding and

115:13

intelligent task done with more work.

115:16

So I've got two things so far which is

115:18

basically like lean into AI and the

115:20

second one is like lean into lean into

115:22

human collection con connection and and

115:24

lean into the truth. Don't be fooled by

115:27

the hype. Uh, you know, try to be more

115:30

informed, I think. And then finally,

115:33

ethics. Uh, if you want to, I know it

115:37

sounds

115:40

the world we live in sounds as if the

115:43

only way to win is to compete in

115:46

capitalism.

115:48

That's not the world I lived in. The

115:50

world I lived in, especially in my

115:52

Google years, was solve a major problem

115:55

and when you do, you'll end up making a

115:57

lot of money.

115:58

>> Are you optimistic?

116:00

>> I am optimistic about the future. I'm

116:02

very optimistic about the future. I'm

116:03

not optimistic about the present.

116:07

>> You're not optimistic about the next

116:08

decade?

116:09

>> Yeah, I'm not optimistic about the next

116:11

year, to be honest.

116:12

>> The next year,

116:13

>> for sure.

116:15

>> Why the next year?

116:17

>> Ah, come on, Stephen. You don't want me

116:19

to say it out loud. We're ruled by

116:21

maniacs.

116:23

Decisions are being made for the

116:25

absolute wrong reasons.

116:30

>> Very interesting time. Very interesting

116:32

time we find ourselves in.

116:35

>> I mean, honestly, if you're a video

116:36

gamer, this is the best part of the

116:38

game. Uh, it is a very very very very um

116:43

what's the word? It's the

116:46

it's the ultimate matrix of complexity

116:49

that I have ever encountered in my life.

116:52

>> Yeah, that's an amp description of how

116:53

it feels. Very complex. Things are

116:56

moving very quickly

116:57

>> and moving very quickly. So, so from one

116:59

side, you really need a lot of brain

117:01

resources to crunch all that's

117:02

happening. But you wake up tomorrow and

117:04

it's changed.

117:05

>> Well, the first time we um we spoke, we

117:07

spoke about happiness.

117:10

after this conversation. Stephen,

117:13

>> I was just wondering, you know, in uh

117:15

you you wrote a book about happiness,

117:16

which is

117:17

>> many books about happiness,

117:19

>> but I mean the uh soul for happy is the

117:21

book that I'm referring to. Here it is.

117:22

Yeah.

117:23

>> Engineering your path to joy. What a

117:24

fantastic book. I quote this book all

117:25

the time all around the world. Um, and

117:29

I'm wondering if any of the principles

117:32

that you wrote in this book about how to

117:35

live a happy life are more important now

117:37

in the world that we live in than maybe

117:39

when you wrote this book.

117:41

>> Oh, for sure. I mean, honestly, if I

117:44

wasn't living by this, I would have left

117:46

this world a long time ago and went to

117:48

an island somewhere. You see the

117:50

interesting side of happiness is that

117:52

it's not dopamine driven, it's serotonin

117:56

driven. Right? So, so my definition of

117:58

happiness is I'm okay with this world as

118:01

it is. I can affect it. I can change it.

118:03

I can engage with it. I can try to make

118:05

it better. Uh I don't have to accept it.

118:09

Uh but I'm okay with it. My starting

118:12

point is a bit stoic if you want. My

118:15

start starting point is I accept this.

118:18

this is my reality and now I can start

118:20

the work. This is very different than

118:23

anyone that's that basically looks at

118:24

the world and says, "Oh, this is a

118:26

horrible world. I don't want to be part

118:28

of it. I don't want to be engaged with

118:29

it." And so on and so forth. And I

118:32

genuinely have never been

118:35

calmer about that chaos. It's quite

118:39

interesting. And I, you know, uh my my

118:42

wonderful ex actually really really

118:45

helped me with that. There was a point

118:46

in time where we were having dinner and

118:48

I poured out crying from the sense of

118:51

responsibility I had for the world and

118:53

she looked at me so kindly so gently and

118:56

said hold on you know you I see that

119:01

you're trying but you can't actually

119:03

believe that you're responsible for this

119:06

and I think that completely flipped my

119:08

mind because in a very interesting way I

119:11

was thinking that all that went wrong in

119:14

technology is because of me,

119:16

>> right?

119:17

>> Why?

119:18

>> Because I contributed to building this.

119:20

Because I mean, when when Jeffrey Hint

119:21

and I, one of my favorite moments when

119:23

we were filming Chasing Utopia, uh, is

119:26

that Jeffree is very big for all of us.

119:28

We really think the world of him. And I

119:31

was telling him just as a sort of like

119:34

an older mentor if you want. I was like,

119:37

Jeffrey, do do you regret doing this?

119:40

You know, I genuinely believed when we

119:42

were building those things that we were

119:44

going to make the world better.

119:45

>> AI.

119:46

>> Yeah. And he said, well, yeah, I I too

119:48

was naive. I I thought that we I didn't

119:53

think he said I didn't think we will get

119:55

there so quickly before we figured out

119:57

the alignment problem, right?

119:59

>> The alignment problem

120:00

>> that AI has our best interest in mind.

120:03

>> Uh and and and I think all of us were

120:06

faced with that. All of us were faced

120:08

with that idea of we're building the

120:10

best thing ever for humanity and then

120:13

suddenly you realize oh my god in the

120:15

wrong hands it's the worst thing ever

120:16

for humanity and and I you know I have

120:19

to say I came to terms with this 2024

120:23

end of 24 uh that that yes I can try but

120:27

I accept that the world is what it is

120:30

and from that point of calm and stoicism

120:33

if you want I think I can have a much

120:35

bigger impact on the

120:38

We have a closing tradition where the

120:39

last guest leaves a question for the

120:40

next question left for you is what's the

120:41

legacy you want to leave?

120:43

>> Nothing at all. I've been asked this

120:46

question.

120:46

>> I get asked it all the time. So

120:48

>> I don't know why so many people are

120:50

asking am I going to go re anytime soon?

120:53

I don't know why so many people are

120:54

asking me that question. You see legacy

120:57

is a is a

121:00

I mean why what would I care if I have a

121:04

legacy if I'm dead? Like why that does

121:06

that even make any difference? Here's an

121:08

interesting thought for everyone. If if

121:12

karma is real, and I genuinely believe

121:15

it is, and if we're not just physical

121:18

beings, that we're physical and

121:20

spiritual, then I'd I'd rather keep all

121:22

of my karma for my spiritual side.

121:26

>> What does that mean?

121:28

>> I don't want anyone to remember anything

121:29

I ever did.

121:30

>> Yeah.

121:31

I I just want to leave a positive impact

121:34

on the world and take all of that as

121:36

karma for my next journey.

121:39

>> No, thank you.

121:42

>> YouTube have this new crazy algorithm

121:43

where they know exactly what video you

121:45

would like to watch next based on AI and

121:48

all of your viewing behavior. And the

121:49

algorithm says that this video is the

121:53

perfect video for you. It's different

121:54

for everybody looking right now. Check

121:56

this video out and I bet you you might

121:58

love it.

Interactive Summary

This episode explores the complex and rapidly evolving world of artificial intelligence. Mo Gawdat discusses the potential for AGI (Artificial General Intelligence) to arrive by 2027, the impending job disruption for white-collar workers, and the potential for a painful economic transition. He emphasizes that AI is not inherently evil, but warns that current incentive structures and surveillance practices pose significant risks to humanity. Ultimately, he calls for a more ethical approach to AI development, stressing that human connection and moral integrity must remain at the forefront as we navigate this unprecedented technological transition.

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