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Yuval Noah Harari: They Are Lying About AI! The Trump Kamala Election Will Tear The Country Apart!

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Yuval Noah Harari: They Are Lying About AI! The Trump Kamala Election Will Tear The Country Apart!

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2697 segments

0:00

the humans are still more powerful than

0:02

the AIS the problem is that we are

0:04

divided against each other and the

0:05

algorithms are using our weaknesses

0:08

against us and this is very dangerous

0:10

because once you believe that people who

0:12

don't think like you are your enemies

0:14

democracy collapses and then the

0:16

election becomes like a war so if

0:18

something ultimately destroys us it will

0:20

be our own delusions not the AIS we have

0:23

a big election in the United States yes

0:25

democracy in the states is quite fragile

0:27

but the big problem is what if

0:30

surely that will never happen youal Noah

0:33

Harari the author of some of the most

0:35

influential non-fiction books in the

0:36

world today and is now at the Forefront

0:38

of exploring the worldshaping power of

0:40

AI and how it is beyond anything

0:42

Humanity has ever faced before biggest

0:44

social networks in the world they're

0:45

effectively going to go for free speech

0:47

what is your take on that the issue is

0:48

not the humans the issue is the

0:50

algorithms so let me unpack this in the

0:52

2010s there was a big battle between

0:55

algorithms for human attention now the

0:57

algorithms discovered when you look at

0:58

history the easiest way to grab human

1:00

attention is to press the fear button

1:02

the hate button the greed button the

1:05

problem is that there was a misalignment

1:07

between the goal that was defined to the

1:09

algorithm and the interests of human

1:11

society but this is how it becomes

1:13

really disconcerting because if so much

1:16

damage was done by giving the wrong goal

1:19

to A Primitive social media algorithm

1:21

what would be the results with AI in 20

1:23

or 30 years so what's the solution we've

1:26

been in this situation many times before

1:28

in history and the answer is always the

1:30

same which is are you optimistic I try

1:33

to be a

1:37

realist this is a sentence I never

1:40

thought I'd say in my life um we've just

1:42

hit 7 million subscribers on YouTube and

1:44

I want to say a huge thank you to all of

1:45

you that show up here every Monday and

1:48

Thursday to watch our conversations um

1:50

from the bottom of my heart but also on

1:52

behalf of my team who you don't always

1:53

get to meet there's almost 50 people now

1:56

behind the D of a CEO that work to put

1:58

this together so from all of us thank

2:00

you so much um we did a raffle last

2:02

month and we gave away prizes for people

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that subscribed to the show up until 7

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million subscribers and you guys love

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that raffle so much that we're going to

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continue it so every single month we're

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giving away money can't buy prizes

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including meetings with me invites to

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our events and ,000 gift vouchers to

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anyone that subscribes to the DI Co

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there's now more than 7 million of you

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so if you make the decision to subscribe

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today you can be one of those lucky

2:24

people thank you from the bottom of my

2:26

heart let's get to the conversation

2:31

10 years ago you made a video that was

2:34

titled why humans run the world it's a

2:38

very well-known Ted Talk that you

2:40

did after reading your new book Nexus I

2:44

wanted to ask you a slightly modified

2:45

question which is do you still believe

2:48

that 10 years from now humans will

2:51

fundamentally be running the

2:53

world I'm not sure it depends on the

2:56

decisions we all take in the coming

2:58

years but there is a chance that the

3:00

answer is no that in 10 years um

3:03

algorithms and AIS will be running the

3:06

world I'm not having in mind some kind

3:09

of hollywoodian Science Fiction scenario

3:11

of one big computer kind of Conquering

3:13

the world it's more like a bureaucracy

3:16

of AIS that we will have millions of AI

3:20

bureaucrats everywhere um you know in

3:23

the banks in the government in

3:26

businesses in universities making more

3:28

and more decisions about about our lives

3:31

that um everyday decisions whether to

3:34

give us a loan whether to accept us to a

3:36

job uh and we will find it more and more

3:39

difficult to understand the logic the

3:43

rationale why the algorithm refused to

3:45

give us a loan why the algorithm

3:48

accepted somebody else uh uh to for the

3:50

job and um you know you could still have

3:53

democracies with people voting for this

3:56

president or this prime minister but um

3:59

if most of the decisions are made by AIS

4:03

and humans including the politicians

4:05

have difficulty understanding the reason

4:08

why the AIS are making a particular

4:10

decision then power will gradually shift

4:14

from

4:15

Humanity uh to these new alien

4:19

intelligences alien intelligences yeah I

4:22

prefer to think about AI I I know that

4:24

the acronym is artificial intelligence

4:26

but I think it's more accurate to think

4:28

about it as an alien int intelligence

4:30

not in the sense of coming from out of

4:31

space in the sense that it makes

4:33

decision in a fundamentally different

4:35

way than than human mind artificial

4:40

means or or have the sense that we

4:43

design it we control it some something

4:46

artificial is made by humans with each

4:49

passing year AI is becoming less and

4:52

less artificial and more and more alien

4:57

uh yes we still design the kind of baby

5:00

AIS but then they learn and they change

5:03

and they start making uh unexpected

5:06

decisions and they start coming up with

5:08

new ideas which are an alien to the

5:12

human way of of doing things you know

5:14

there was this famous example with the

5:16

game of Go that in 2016 alpago defeated

5:20

the world champion Lisa do but the

5:22

amazing thing about it was was the way

5:25

it it did it because humans have been

5:27

playing go for 20 500 years a board game

5:31

a board game a a strategy game developed

5:34

in ancient China and considered one of

5:37

the basic Arts that any cultivated

5:40

civilized person in East in East Asia

5:43

had to know and tens of millions of

5:46

Chinese and Koreans and Japanese played

5:49

go for centuries entire philosophies

5:52

developed around the game of how to play

5:55

it it was considered a good preparation

5:58

for politics and for life and people

6:01

thought that they explored the

6:04

entire uh uh realm the entire geography

6:08

landscape of go and then alphago came

6:11

along and showed us that actually for

6:14

2,500 years people were exploring just a

6:17

very small bit a very small part of the

6:20

landscape of go there are completely

6:23

different strategies of how to play the

6:25

game that not a single human being came

6:27

up with in more than 2,000 years of

6:30

playing it and Alpha go came up with it

6:32

in just a few days so this is alien

6:36

intelligence and you know if it's just a

6:38

game then but the same thing is likely

6:40

to happen in finance in medicine in

6:44

religion For Better or For

6:47

Worse you wrote this book Nexus Nexus

6:51

how do you pronounce it Nexus Nexus I'm

6:55

not an expert on pronunciation

6:57

so you could have written

7:00

many a book um you're someone that's I

7:03

think broadly curious about the nature

7:04

of life but also the nature of history

7:07

for you to write a book that is so

7:08

detailed and comprehensive there must

7:09

have been a pretty strong reason why

7:13

this book had to come from you now and

7:16

why is that because I think we need a

7:17

historical perspective on on the AI

7:20

Revolution I mean there are many books

7:22

about about AI this is Nexus is not a

7:24

book about the about AI it's a book

7:27

about the long-term history of

7:29

information networks I think that to

7:32

understand what is really new and

7:35

important about AI we need perspective

7:38

of thousands of years to go back and

7:41

look at previous information revolutions

7:44

like the invention of writing and the

7:46

printing press and the radio and only

7:49

then you really start to understand what

7:52

is happening around us right now uh one

7:56

thing you understand for instance is

7:58

that AI is really different people

8:00

compare it to previous revolutions but

8:03

it it's different because it's the first

8:05

technology ever in human history that is

8:09

able to make decisions

8:12

independently and to create new ideas

8:16

independently a printing press could

8:18

print my book but it could not write it

8:22

it could just copy my ideas an atom bomb

8:25

could destroy a city but it could it

8:27

can't decide by itself which City to bom

8:30

or why to Bone it and AI can do that and

8:33

you know there is a lot of hype right

8:35

now around AI so people get confused

8:38

because they now try to sell us to sell

8:40

us everything as AI like you want to

8:42

sell this table to somebody oh it's it's

8:44

an it's an AI table and this water this

8:47

is AI water so people what is AI

8:50

everything is AI no not everything um

8:53

there is a lot of automation out there

8:55

which is not AI if you think about a

8:57

coffee machine that makes coffee for you

9:01

it does things automatically but it's

9:03

not an AI it's pre-programmed by humans

9:06

to do certain things and it can never

9:09

learn or change by

9:12

itself a coffee machine becomes an AI if

9:15

you come to the coffee machine in the

9:16

morning and the Machine tells hey based

9:20

on what I know about you I guess that

9:23

you would like an

9:24

espresso it learned something about you

9:27

and it it and and and it it makes

9:29

independent decision it doesn't wait for

9:31

you to ask for the espresso and it's

9:33

it's really AI if it tells you and and I

9:37

just came up with a new drink it's

9:39

called Buffy and I think you would like

9:41

it that's really AI when it comes up

9:44

with completely new ideas that we did

9:47

not program into it and that we did not

9:51

anticipate and this is a GameChanger in

9:53

history it's it's bigger than the

9:55

printing press it's bigger than the atom

9:58

bomb you said we need to have a

10:00

historical perspective and do you

10:02

consider yourself to be a historian yes

10:04

that that's my my profession is a

10:06

historian that that's kind of this is my

10:08

training I was originally a specialist

10:10

in medieval military history I wrote

10:13

about the H Crusades and the 100 Years

10:16

War and the strategy and lo Logistics of

10:19

the English armies that invaded France

10:21

in the 14th century this was my my first

10:25

articles um and this is the kind of of

10:28

perspective or of knowledge that I also

10:31

bring to try and understand what's

10:32

happening now with with AI because most

10:35

people's understanding of what AI is

10:37

comes from them playing around with a

10:39

large language model like chat PT or

10:41

gemini or Gro or something that's like

10:43

their understanding of it you can ask it

10:44

a question and it gives you an answer

10:47

that's really what people think of AI as

10:49

and so it's easy to be a bit complacent

10:52

with it or to see this technological

10:54

shift as being

10:56

trivial but when you start talking about

10:58

information

11:00

and they like disruption of the flow of

11:01

information and information networks and

11:04

when you bring it back through history

11:05

and and you give us this perspective on

11:07

the fact that information effectively

11:09

glues us all together then it starts to

11:11

become for me I think about it

11:14

completely differently I mean there are

11:16

two ways I think about it I mean one way

11:18

is that when you realize that as you

11:20

said that information is is the basis

11:22

for everything when you start to shake

11:25

the basis everything can collapse or or

11:28

change or or something new could come up

11:31

for instance uh um democracies are made

11:34

possible only by Information Technology

11:37

democracy in essence is a conversation a

11:40

group of people conversing talking

11:43

trying to make decisions together

11:45

dictatorship is a somebody dictates

11:47

everything one person dictates

11:49

everything that's dictatorship democracy

11:51

is a conversation now in the Stone Age

11:54

hunter gatherers living in small bands

11:56

they were mostly Democratic whenever the

11:58

band need to decide anything they could

12:00

just talk with each other and and decide

12:03

as human societies grew bigger it just

12:06

became technically difficult to hold the

12:10

conversation so the only examples we

12:12

have from the ancient world for

12:14

democracies are small city states like

12:18

Athens or republican Rome these are the

12:20

two most famous examples not the only

12:21

ones but the most famous and even the

12:25

Ancients even philosophers like Plato

12:27

and Aristotle they knew once you go

12:30

beyond the level of a citystate

12:32

democracy is impossible we do not know

12:35

of a single example from the premodern

12:38

world of a large scale democracy

12:41

millions of people spread over a large

12:44

territory conducting their political

12:47

Affairs

12:48

democratically why not because of this

12:51

or that dictator that took power because

12:54

democracy was simply impossible you

12:56

cannot have a conversation between

12:58

millions of people when you don't have

13:00

the right

13:01

technology de large scale democracy

13:04

becomes Possible only in the late modern

13:06

era when a couple of information

13:09

Technologies appear first the newspaper

13:12

then Telegraph and radio and and

13:14

television and they make large scale

13:16

democracy possible so democracy it's not

13:19

like you have democracy and on the side

13:21

you have these information Technologies

13:23

now the basis of democracy is

13:25

information technology so if you have

13:28

some kind of Earth quake in the

13:30

information technology like the rise of

13:32

social media or the rise of AI this is

13:36

bound to shake democracy which is now

13:39

what we see around the world is that we

13:41

have the most sophisticated information

13:43

technology in history and people can't

13:46

talk with each other the Democratic

13:48

conversation is breaking down and every

13:50

country has its own explanation like you

13:52

talk to Americans what's happening there

13:54

between Democrats and Republicans why

13:56

can't they agree on even the most basic

13:58

facts and they give you all these

14:00

explanations about the unique conditions

14:02

of American history and Society but you

14:05

see the same thing in Brazil you see the

14:07

same thing in in France in the

14:09

Philippines so it can't be the unique

14:12

conditions of this or that country it's

14:14

the underlying technological Revolution

14:17

and the other thing that history kind of

14:20

um that I I bring from history is how

14:23

even relatively small technological

14:26

changes or seemingly small changes

14:29

can have far-reaching

14:31

consequences like you think about the

14:33

invention of writing originally it was

14:35

basically people playing with

14:38

mud I mean writing was invented for the

14:41

first it was invented many times in many

14:42

places but the most the first time in

14:45

ancient Mesopotamia people take clay

14:48

tablets which is basically pieces of mud

14:51

and they take a stick and they use the

14:54

stick to make marks in the in the clay

14:57

in the clay in the in the mud and this

14:59

is the invention of writing and this had

15:02

a profound effect to give just one

15:05

example um you think about ownership

15:09

what does it mean to own something like

15:11

I own a house I own a field so

15:15

previously before writing to own a field

15:18

if you live in a small Mesopotamian

15:20

Village like 7,000 years ago you own a

15:23

field this is a community Affair it

15:26

means that your neighbors agree that

15:29

this field is yours and they don't pick

15:32

fruits there and they don't graze their

15:34

sheep there because they agree it's

15:35

yours it's a community agreement then

15:38

comes writing and you have written

15:41

documents and ownership changes its

15:44

meaning now to own a field or a house

15:48

means that there is some piece of dry

15:51

mud somewhere in the archive of the king

15:54

with marks on it that says that you own

15:58

that field

16:00

so suddenly ownership is not a matter of

16:03

community agreement between the

16:04

neighbors it's a matter of which

16:06

document sits in the archive of the king

16:09

and it also means for instance that you

16:11

can sell your land to a stranger without

16:15

the permission of your neighbors simply

16:17

by giving the stranger this piece of dry

16:21

mud in exchange for gold or silver or

16:25

whatever so what a big change a

16:29

seemingly simple invention like using a

16:31

stick to to draw some some signs on a

16:34

piece of mud and and now think about

16:36

what AI will do to ownership like maybe

16:40

10 years down the line to own your house

16:43

means that some AI says that you own it

16:46

and if the AI suddenly says that you

16:48

don't own it for whatever reason that

16:50

you don't even know that's it it's not

16:52

yours that that Mark on that piece of

16:55

mud was also the invention of sort of

16:58

written language

16:59

and I think I was thinking about when I

17:02

was reading your book about how language

17:04

holds our society together not in the

17:06

way that we we often might assume as in

17:08

me having a conversation with you but

17:11

passwords um poet passwords uh like

17:15

banking it's like our whole society is

17:17

secured by language yeah and the first

17:19

thing that the AIS have mastered is with

17:22

large language models is the ability to

17:25

replicate that which is which made me I

17:27

think about all the things that in my

17:28

life are actually held together with

17:30

language even my relationships now

17:31

because I don't see my friends my

17:33

friends live in Dubai and America and

17:36

Mexico so we conversate in language our

17:39

our relationships are held together in

17:40

language and as you said democracies are

17:42

held together in language um and now

17:46

there's a more intelligent Force that's

17:49

mastered that yeah it was so unexpected

17:52

like you know five years ago people said

17:53

AI will Master this or that self-driving

17:56

vehicles but language nah this is such a

17:59

complicated problem this is a the human

18:01

Masterpiece language it will never

18:03

Master language and CH GPT came and it

18:06

is you know I'm I'm a words person and

18:10

I'm simply Amazed by the quality of the

18:16

texts that uh these large language

18:19

language models produce it's not perfect

18:23

but uh they really understand the

18:26

semantic field of words they can string

18:29

words together and sentences to form a

18:32

coherent text that that's really

18:35

remarkable and as you said I mean this

18:37

is the basis for everything like I give

18:39

instructions to my bank with language if

18:42

AI can generate text and audio and image

18:47

then how do I communicate with the bank

18:50

in a way which is not open to

18:52

manipulation by an AI but the tempting

18:55

part in that sentence is you don't like

18:58

communicating with your bank anyway as

19:01

in calling them being on the phone

19:03

waiting for another human so the temp

19:06

the Temptation is know I don't like

19:08

speaking to my bank anyway so I'm

19:09

goingon to let the AI do that I'm gonna

19:11

invest if I can trust them I mean the

19:13

big question is I mean why does the bank

19:15

want me to call personally to make sure

19:17

that it's really me it's not somebody

19:19

else telling the bank oh make this

19:22

transfer to to I don't know Cayman

19:23

Islands it's really me and how do you

19:26

make sure how do you build this is TR I

19:29

mean the the Hall of Finance for

19:31

thousands of years is just one question

19:33

trust all these Financial devices money

19:36

itself is really just trust it's not

19:39

made from gold or silver or paper or

19:41

anything it's how do you create trust

19:43

between strangers and therefore most

19:45

Financial inventions in the end they are

19:48

linguistic and symbolic inventions it's

19:51

not you don't need some complicated

19:54

physics it's it's complicated symbolism

19:57

and now AI might start creating new

20:01

Financial devices and and will Master

20:03

Finance because it mastered language and

20:06

and like you said I mean we now

20:08

communicate with other people our

20:10

friends all over the world you know in

20:13

the 2010s there was a big battle between

20:16

algorithms for human attention we're

20:18

just discussing it before the podcast

20:20

like how do we get the attention of

20:22

people but there is something even more

20:24

powerful out there than attention and

20:27

that's intimacy

20:29

if you really want to influence people

20:33

intimacy is is more powerful than

20:35

attention how are you defining Intimacy

20:37

in this regard someone that you have a

20:41

long-term acquaintance with that you

20:44

know personally that you trust that to

20:47

some extent that you love that you care

20:50

about um and until today it was utterly

20:54

impossible to fake

20:56

intimacy and to must produce intimacy

21:00

you know dictators could must produce

21:02

attention you know once you have for

21:04

instance radio you can tell all the

21:07

people in Nazi Germany or in the Soviet

21:08

Union the great leader is giving a

21:10

speech everybody must turn their radio

21:13

on and listen so you can Mass produce

21:15

attention but this is not intimacy you

21:18

don't have intimacy with the great

21:19

leader now with AI you can for the first

21:23

time in history at least theoretically

21:25

must produce intimacy with millions of

21:29

maybe working for some

21:31

government uh are faking intimate

21:34

relationships with us which will be hard

21:36

to to know that this is a bot and not a

21:39

human

21:41

being H it's interesting because when I

21:45

I've had so many conversations with

21:46

relationship experts and a variety of

21:49

people that speak to the decline

21:52

in human to human intimacy and the rise

21:56

in loneliness and us becoming more um

21:59

sexless as a society and all of these

22:02

kinds of things so it's it's almost with

22:04

the decline in human to human intimacy

22:07

and human- to human connection and the

22:09

rise of the sort of AR the possibility

22:11

of artificial intimacy it begs the

22:14

question what the future might look like

22:15

in a world where people are lonlier than

22:16

ever more disconnected than ever but

22:18

still have the same maslovian need for

22:20

that connection and that feeling of you

22:22

know love and belonging and maybe this

22:24

is why we're seeing a rise in

22:27

polarization at the same time because

22:29

people are desperately trying to belong

22:32

somewhere and the algorithm is like

22:34

reinforcing my echo chamber so you know

22:37

and

22:39

it's but I don't know how that

22:42

ends I don't think it's deterministic it

22:44

depends on the decision we make

22:46

individually and as a society uh there

22:49

are of course also wonderful things that

22:51

this technology can do for us uh the

22:54

ability of AI to hold a conversation the

22:57

ability to understand your emotions it

23:01

can potentially mean that we will have

23:03

lots of AI teachers and AI uh uh doctors

23:08

and AI therapists that can give us

23:12

better health care services better

23:15

Education Services than ever before

23:17

instead of being you know a kid in a

23:20

class of 40 other kids that the teacher

23:22

is barely able to give attention to this

23:25

particular child and understand his or

23:27

her specific needs and his or her

23:30

specific personality you can have an A

23:33

AI tutor that is focused entirely on you

23:38

and that is able to give you a quality

23:40

of Education which is really

23:42

unparalleled I had this debate with my

23:44

friend uh on the weekend he's got two

23:47

young kids who are one years old and

23:50

three years old and we were discussing

23:51

in the future in sort of 16 years time

23:55

where would you rather send your child

23:57

would you rather send your child to be

23:58

taught by a human in a classroom as

24:00

you've described with lots of people

24:01

lots of noise where they're not getting

24:02

personalized learning so if the

24:03

classroom are more intelligent they're

24:05

being left behind if they're more

24:06

intelligent they're being dragged back

24:08

or would you rather your child sat in

24:10

front of a screen potentially or a

24:13

humanoid robot and was given really

24:15

personalized tailored

24:17

education that was probably

24:19

significantly cheaper than say private

24:21

education or

24:23

university but you need the combination

24:25

I mean I think that the the for for many

24:27

of the lessons

24:29

it will be better to go with the AI

24:31

tutor which again you don't even have to

24:33

sit in in in front of a screen you can

24:35

go to the park and get a a lesson on on

24:38

on ecology just listening on on on as as

24:41

you walk but you will need uh large

24:45

groups of kids for break time because

24:48

very often you learn the the most

24:50

important lessons in school are not

24:52

learned during the lessons they are

24:54

learned during the breaks and this is

24:56

something that should not be automated

24:59

uh you would still need large group of

25:02

of children together with with human

25:04

supervision uh for that the other thing

25:07

I I thought about a lot when I was

25:08

reading your book is this idea that I

25:10

would assume that us having more

25:12

information and more access to

25:14

information would lead to more truth in

25:18

the world less conspiracy more agreement

25:22

but that doesn't seem to be the case no

25:25

not at all uh most information in the

25:27

world is junk I mean I think the best

25:29

way to think about it is it's it's like

25:31

with

25:32

food that there was a time like a

25:35

century ago in many countries where food

25:37

was scarce so people ate whatever they

25:40

could get especially it was full of fat

25:43

and sugar uh and they thought that more

25:46

food is always good like if you ask your

25:48

great grandmother she would yes more

25:50

food is always good and then we reach a

25:53

time of abundance in in in food and uh

25:57

we have all these

25:59

industrialized processed food which is

26:01

artificially full of fat and sugar and

26:03

salt and whatever and it's obviously ban

26:07

for us the idea that more food is always

26:09

good no and definitely not all this uh

26:13

junk food and the same thing has

26:15

happened with information that

26:16

information was once scarce so if you

26:19

could get your hands on a book you would

26:20

read it because it was nothing else and

26:23

now information is abundant we are

26:25

flooded by information and much f is

26:28

junk information which is artificially

26:31

full of greed and anger and fear because

26:35

of this battle for

26:37

attention um and it's not good for us so

26:41

we basically need to go on an

26:42

information diet that uh again the first

26:45

step is to realize that it's not the

26:48

case that more information is always

26:50

good for us we need a limited amount and

26:52

we actually need more time to

26:55

digest the information and we have to be

26:58

off of course also careful about the

27:00

quality of what we take in because uh

27:04

again of the abundance of of junk

27:06

information and the the basic

27:08

misconception I think is this link

27:11

between information and truth that

27:13

people think okay if I get a lot of

27:15

information this is the raw material of

27:17

Truth and I more information will mean

27:20

more

27:21

knowledge and that's not the case

27:24

because even in nature most information

27:27

is not about the truth the basic

27:30

function of information in history and

27:33

also in biology is to connect

27:36

information is

27:38

connection and when you look at history

27:41

you see that very often the easiest way

27:44

to connect people is not with the truth

27:46

because the truth is a is a costly and

27:49

and and rare kind of information it's

27:52

usually easier to connect people with

27:55

fantasy with fiction uh why because the

27:59

truth tends to be not just costly the

28:02

truth tends to be complicated and it

28:04

tends to be uncomfortable and sometimes

28:08

painful if you think of you know like in

28:11

politics uh a politician who would tell

28:14

people the whole truth about their

28:17

nation is unlikely to win the elections

28:20

because every nation has these skeletons

28:23

in the cuper and all these dark sides

28:25

and dark episodes that people don't want

28:27

to be confronted

28:29

with so we see that politically it's not

28:33

uh uh if you want to connect Nations

28:36

religions political parties you often do

28:39

it with fictions and Fantasies and

28:42

fear um I was thinking about sapiens and

28:45

the role that stories play um in

28:48

engaging our brains and I was thinking a

28:50

lot about the narratives in the UK we

28:51

have a narrative where we we're told

28:54

that much of the cause of the problems

28:56

we have in society are employment um

28:59

other issues with crime are because

29:01

there's people crossing from France on

29:03

boats and in the U and it's a very

29:05

effective narrative to get people to

29:07

band together to march in the streets

29:08

and in America obviously the same

29:10

Narrative of the wall and the southern

29:11

border um they're crossing our border in

29:14

the millions it's their rapists it's

29:15

then they're not sending their good

29:16

people they're coming from mental

29:17

institutions has galvanized people

29:20

together and those people are now like

29:22

marching in the streets and voting based

29:24

on that story that is a fearful story

29:27

it's a very powerful story because it

29:29

connects to something very deep in

29:31

inside us uh and if you want to get

29:34

people's attention if you want to get

29:36

people's engagement so the fear button

29:39

is one of the most efficient most

29:42

effective buttons to press in the human

29:44

mind and again goes back to the Stone

29:47

Age so if you live in a stone age tribe

29:51

uh one of your biggest worries is that

29:54

the people from the other tribe will

29:56

come to your territory

29:58

and you will take your food or we will

30:01

kill you um so this is a very ingrained

30:05

fear in not just in humans in every

30:07

Social Animal you they did experiments

30:10

on chimpanzees that show that

30:12

chimpanzees have a also a kind of almost

30:15

instinctive H fear or disgust towards

30:19

foreign chimpanzees from a different

30:22

band and politicians and religious

30:24

leaders and and and they learn how to

30:26

play on these uh uh human emotions

30:31

almost like you play on a piano you know

30:34

originally these feelings like

30:36

discussed they evolved in order to help

30:40

us um you know on the most basic level

30:44

discuss is there because you know as as

30:47

especially as a kid you want to

30:49

experiment with different foods but if

30:51

you eat something that is bad for you

30:53

you need to to to you know puke it you

30:56

need to to to throw it out so you have

30:59

discuss protecting you but then you have

31:03

religious and political leaders

31:04

throughout history hijacking this

31:07

defensive mechanism and teaching people

31:10

from a very young age to not just to

31:12

fear but to be

31:14

disgusted by foreign people by people

31:17

who look different and this is again you

31:21

as an adult you can learn all the

31:23

theories and you can educate yourself

31:26

that this is not true but still very

31:27

deep in your mind if that there is a a

31:31

part that is just these people are

31:34

disgusting these people are

31:37

dangerous and uh we saw it throughout

31:40

history

31:41

how many different movements have

31:44

learned how to use this uh uh emotional

31:48

mechanisms to to motivate people we we

31:53

we sit down at a very interesting time

31:55

youal because two quite significant

31:58

things have happened in the last I think

32:00

year as it relates to information and

32:03

many of the things we've been talking

32:04

about one of them is Elon Musk bought

32:06

Twitter and his real mandate has been

32:09

this idea of free speech and as part of

32:11

that mandate he's unblocked a number of

32:14

figures who were previously blocked on

32:16

Twitter um a lot of them right leaning

32:18

people that were blocked for a variety

32:20

of different reasons and then also this

32:22

week Mark Zuckerberg released basically

32:24

a letter publicly and in that letter he

32:27

says that he

32:28

re regrets the fact that he cooperated

32:32

so much with the FBI the government when

32:35

they asked him to censor things on

32:37

Facebook one particular story he says he

32:39

regrets doing that and it looks like if

32:41

you read between what he's saying well

32:43

he actually says it explicitly he says

32:44

we're going to push back harder in the

32:46

future if governments or anybody else

32:48

asks us to censor certain messaging now

32:51

what what I'm seeing is that Twitter

32:53

which is one of the biggest social

32:54

networks in the world and meta the

32:55

biggest social network in the world have

32:57

now taken this dance that effectively

32:59

they're going to let information flow

33:01

they're effectively going to go for this

33:03

free speech narrative now as someone

33:05

that's used these platforms for a long

33:06

time specifically X or Twitter it is

33:10

crazy how different it is these days

33:12

there are things that I see every time I

33:14

scroll that I never would have seen

33:17

before this free speech um position now

33:20

I'm not taking a stance whether it's

33:21

good or bad it's just very interesting

33:24

and there's clearly an algorithm that is

33:26

now really like if I scroll if I go on X

33:29

right now I will see someone being

33:30

killed with a knife I reckon within 30

33:32

seconds and I will see someone getting

33:35

hit by a car um I will see extreme

33:39

islamophobia potentially um but then

33:42

I'll also see the other side so it's not

33:43

just I'm saying I'll see all of the

33:45

sides and when you talking earlier about

33:47

like is that good for me I I had a

33:49

flashback to my friend this weekend it

33:51

was my birthday so my me and my friends

33:52

were together just looking over at him

33:54

mindlessly scrolling these like horror

33:56

videos on Twitter as he was sat on my

33:58

left thinking God he's like frying his

34:00

dopamine receptors and I just I just

34:02

think this whole new like free speech

34:05

movement what is your take on this idea

34:08

of free speech in the role you know only

34:10

humans have free speech Bots don't have

34:13

free speech the tech companies are

34:16

constantly confusing us about this issue

34:19

because the issue is not the humans the

34:21

issue is the algorithms and let let me

34:23

explain what I mean if the question is

34:26

whether to ban some somebody like Donald

34:28

Trump from Twitter I agree this is a

34:31

very difficult issue and we should be

34:32

extremely careful about banning human

34:35

beings especially important politicians

34:38

from voicing their views and opinions

34:41

however much we dislike their opinions

34:43

or or them personally it's a very

34:45

serious matter to ban any human being

34:49

from from a platform but this is not the

34:52

problem the problem on the platform is

34:54

not the human users the problem is the

34:57

algor ithms and the companies constantly

35:00

shift the blame to the humans in order

35:02

to protect their business interests so

35:05

let let me unpack this humans create a

35:08

lot of content all the time they create

35:11

hateful content they create ceremon on

35:14

compassion they create cooking lessons

35:17

biology lessons so many different things

35:19

a flood of information the big question

35:22

is then what gets human attention

35:25

everybody wants attention now

35:28

uh the companies also want attention the

35:31

companies give the algorithms that run

35:34

the social media platforms a very simple

35:37

goal increase user engagement make

35:41

people spend more time on Twitter more

35:43

time on Facebook engage more sending

35:46

more uh uh likes and recommending to

35:49

their friends why because the more time

35:51

we spend on the platforms the more money

35:53

they make very very simple now the

35:56

algorithms made a huge huge Discovery by

36:00

experimenting on millions of human

36:03

guineapigs the algorithms discovered

36:05

that if you want to grab human attention

36:08

the easiest way to do it is to press the

36:11

fear button the hate button the greed

36:14

button and they started recommending to

36:18

users to watch more and more content

36:21

full of hate and fear and greed to keep

36:24

them glued to the screen

36:27

and this is the deep cause of the

36:30

epidemic of fake news and conspiracy

36:32

theories and and and so forth and the

36:36

the defense of of the companies is we

36:38

are not producing the

36:40

content somebody a human being produced

36:43

a hatefield conspiracy theory about

36:46

immigrants and it's not us it's like a

36:50

bit like I don't know the the the chief

36:52

editor of the New York Times publishing

36:54

a hatefi conspiracy theory on the front

36:57

of the first page of the newspaper and

37:00

when you ask him why did you do it or

37:02

you blame him look what you did he says

37:04

I didn't do anything I didn't write the

37:06

piece I just put it on the front of the

37:09

New York Times that's all that's nothing

37:11

it's not

37:12

nothing people are producing immense

37:15

amount of

37:16

content the algorithms are the king

37:19

makers they are the editors now they

37:22

decide what gets viewed sometimes they

37:25

just recommend it to you sometimes they

37:27

actually auto play it to you like you

37:30

you you chose to watch some video at the

37:32

end of the video to keep you glued to

37:35

the screen the algorithm immediately

37:37

without you telling him it the algorithm

37:41

without you telling the algorithm the

37:42

algorithm autop

37:44

plays some kind of video full of fear or

37:48

greed just to keep you glued to the

37:50

screen it is the algorithm doing it and

37:53

this should be banned or this should at

37:55

least be uh uh supervised and regulated

37:58

and this is not free freedom of speech

38:01

because the algorithms don't have

38:03

freedom of

38:04

speech uh yeah the person who produced

38:06

the hatefield video I would be careful

38:10

about banning them but that's not the

38:12

problem it's the recommendation which is

38:15

the problem the second problem is that a

38:19

lot of the conversations now online are

38:23

being overrun by Bots again if you look

38:27

for instance at Twitter X as an example

38:30

so people often want to know what is

38:33

trending what which stories get the most

38:36

attention if everybody's interested in

38:38

in in a particular story I also want to

38:40

know what everybody's talking

38:42

about and very often it's the Bots that

38:45

are driving the conversation because a

38:48

particular story initially gets a lot of

38:51

traction a lot of traffic because a lot

38:54

of bots Retreat it and then people see

38:57

see it and think they don't know it's

38:59

Bots they think it's humans so they say

39:01

oh lots of humans are interested in in

39:04

this so I also want to know what's

39:05

happening and this draws more attention

39:08

this should be forbidden buts are uh

39:11

very basically you cannot have ai

39:15

pretending to be human beings this is

39:17

fake humans this is counterfeit humans

39:20

if you see activity online and you think

39:22

it's human activity but actually it's

39:24

bought activity this should be banned

39:27

and

39:27

doesn't uh uh uh harm the free speech of

39:33

any human being because it's a bot it

39:35

doesn't have freedom of

39:37

speech I was thinking a lot about what

39:39

you said about these algorithms are

39:40

actually running running the world and I

39:44

mean yeah so if the algorithms are

39:46

deciding what I see based on what I

39:47

spend my time looking at because they

39:49

want to make you know the platforms want

39:50

to make more money and if I have a

39:53

innate sort of predisposition to spend

39:55

more time focused on things that scare

39:57

me yeah or

39:59

then you just have to give me a couple

40:02

of years and every year that goes past

40:05

I'll become more fearful more it

40:07

reinforces your own weaknesses I mean

40:10

again it's like the food industry so the

40:12

food industry discovered we liked food

40:15

with a lot of salt and and and fat in it

40:18

and gives it more to us and then it says

40:21

but this is what the customers want what

40:22

do they want from us it's the same thing

40:24

but even worse with these algor

40:27

algorithms that because this is the food

40:29

for the mind yes humans have a tendency

40:32

that if something is very frightening or

40:35

something fills them with anger they

40:37

they focus on it and they tell all the

40:39

friends about it but to artificially

40:42

amplify it it's not it just it's just

40:45

not good for our Mental Health and

40:47

Social Health it is using our own

40:50

weaknesses against us instead of helping

40:53

us deal with them is it fair to say now

40:56

this is me just jumping to conclusions a

40:58

little bit but is it fair to say that in

41:00

a world where you remove um restrictions

41:03

around blocking certain characters

41:06

right-wing characters that are their

41:07

messages maybe based on immigration Etc

41:10

you remove those restrictions so they're

41:12

all allowed on every platform and then

41:14

you program the algorithm to be focused

41:16

on Revenue that eventually more people

41:19

will become right-wing and I say that in

41:22

part

41:23

because it's it's a right-wing narrative

41:25

to say that immigrants are bad and that

41:27

you know I'm not saying that the left

41:29

are innocent because they're absolutely

41:31

not but I'm saying that the fearful

41:34

narratives the fear seems to come more

41:36

from the right in my opinion MH like

41:39

especially in the UK it was the fear

41:41

comes from immigrants and these people

41:42

are going to take your money and all

41:43

these kinds of things um I I I think the

41:47

key issue is to not to label it as a

41:50

right or left issue because again

41:54

democracy is a conversation and you can

41:57

have a conversation only if you have

41:58

several different opinions and it's I

42:01

think it should be okay to have a

42:03

conversation about immigration that

42:05

people should be able to have different

42:07

opinions about it uh that's fine the

42:11

problem starts when uh one side

42:16

vilifies and and

42:19

demonizes anybody who doesn't think and

42:22

you see it to some extent from both

42:24

sides but in in the case of immigration

42:26

so you would have these conspiracy

42:28

theories that anybody who supports

42:30

immigration for instance they want to

42:32

destroy the country they are part of

42:35

this conspiracy to flood the country

42:37

with immigrants and to change its nature

42:39

and and whatever and this is the problem

42:43

that uh democracy once you believe that

42:48

people who don't think like you they are

42:50

not just your political Rivals they are

42:53

your enemies they are out to destroy you

42:58

they intend to destroy your way of life

43:00

your group then democracy

43:03

collapses because there can be no way uh

43:07

between enemies democracy doesn't work

43:10

it works if you think that the other

43:12

side is wrong but there are still

43:15

essentially good people who care about

43:17

the country who care about me but they

43:19

have different opinions if you think

43:21

that they are my enemies they try to

43:24

destroy me then the election becomes

43:27

like a war because you're fighting for

43:29

your survival you would do anything to

43:32

win the election because your survival

43:34

is at stake if you lose you have no

43:37

incentive to accept the verdict if you

43:40

win you only take care of your tribe and

43:43

not of the enemy tribe what if you don't

43:45

believe the election is legitimate then

43:48

democracy can't

43:50

function uh this is the again the basic

43:52

democracy can't exist in just any it's

43:55

like it's like a delicate plant that

43:57

needs certain conditions in order to

44:00

survive and to flourish and one

44:02

condition for instance is that you have

44:04

information technologies that allows a

44:06

conversation another condition is that

44:09

you trust the institutions if you don't

44:12

trust the institution of

44:14

Elections it doesn't work and and a

44:17

third condition is that you need to

44:20

think that the people on the other side

44:22

of the political divide they are my

44:24

rivals but they are not my enemies

44:27

now the problem with what's happening

44:29

now with Democratic conversations is

44:32

because of this tendency to go to more

44:34

and more and more

44:36

extremes it creates the impression that

44:39

the other side is is an enemy and this

44:43

is a problem not just for the right also

44:45

for the left that on both sides you see

44:48

this this uh uh uh feeling that the

44:52

other side is the is an enemy and that

44:55

its positions are completely

44:58

illegitimate and if we reach that point

45:00

then the conversation

45:02

collapses and it should be possible to

45:05

have complex conversations and

45:07

discussions about difficult issues like

45:10

immigration like gender like climate

45:13

change without seeing the other side as

45:17

an enemy which was possible for you know

45:19

for Generations so why is it that now it

45:22

seems to just become impossible to talk

45:25

with the other side or to about

45:29

anything we have a big election in the

45:31

United States this year very big one

45:33

yeah do you think a lot about it uh yes

45:37

yes I mean it seems like a very L it

45:39

will be a coin TOS I mean like

45:42

50/50 um you know elections become

45:46

really an existential

45:48

issue if there is a chance they will be

45:51

the last

45:53

elections if one side is intends to

45:58

Simply change the rules of the game if

46:01

it comes to power then it becomes

46:03

existential because again democracy

46:06

works on the basis of self-correcting

46:09

mechanisms that this is the big

46:11

advantage of democracy over dictatorship

46:14

in a dictatorship a dictator can make a

46:16

lot of good decisions but sooner or

46:18

later they will make a bad decision and

46:20

there is no mechanism in a dictatorship

46:23

to identify and correct such mistakes

46:26

mistakes like Putin yeah there is just

46:29

no mechanism in Russia that could say

46:32

Putin made a mistake he should go he

46:34

should let somebody else try a different

46:37

course of action this is the great

46:39

advantage of democracy you try something

46:42

it doesn't work you try something else

46:44

but the big problem is what if you

46:46

choose someone who then changes the

46:49

system neutralizes its self-correcting

46:52

mechanism and then you cannot get rid of

46:54

him anymore this is what happened for

46:56

instance in Venezuela that or originally

46:59

Chavez and the chavista movement they

47:01

came to power democratically people

47:03

wanted to let's try this and now in the

47:06

last elections a couple of weeks ago um

47:09

the evidence is very very clear that

47:11

Maduro lost big time but uh he controls

47:14

everything the election committee

47:16

everything and he claims no I won and

47:19

the they destroyed Venezuela you know

47:22

it's something like a quarter of the

47:23

population fled the country which was

47:27

one of the richest countries in in South

47:29

America before and they just can't get

47:32

get rid of the guy surely that will

47:34

never happen in the west oh don't say

47:37

never in history uh uh history can can

47:41

catch up with you whoever you are that's

47:44

one of the Illusions we Venezuela was

47:46

part of the West in in many ways still

47:48

is this is one of the Illusions we live

47:50

under though we think oh that that can

47:52

never happen to the UK or the United

47:54

States or Canada these sort of of quote

47:57

unquote civilized Nations you know

48:01

According to some measurements democracy

48:03

in the United States is quite new and

48:05

quite quite fragile if you think about

48:08

it in terms of of who gets to vote for

48:11

instance so um it's yeah it would be

48:16

again I don't know what are the chances

48:18

but even if there is a 20% chance that a

48:22

trump Administration would change the

48:24

rules of the game of American democracy

48:27

in such a way to as to make it for

48:30

instance by uh uh changing the rules

48:33

about who votes or how do you count

48:36

votes H that it will become almost

48:39

impossible to get rid of them uh that's

48:42

not that that's not out of the possible

48:45

in historical

48:47

terms do you think it's possible that

48:48

Trump will do that yes I mean you saw it

48:51

on the 6th of January I mean the the the

48:53

most sensitive moment in in every

48:56

democracy is the moment of transfer of

48:58

power and the magic of democracy is that

49:02

democracy is meant to ensure a peaceful

49:05

transfer of power that as I said like

49:08

you choose one party you give them a try

49:11

after some time if people say they

49:13

didn't do a good job let's try somebody

49:15

else and you know you have people who

49:18

hold in the United States they hold the

49:21

biggest power in the world the president

49:23

of the United States have enough power

49:24

to destroy human civilization

49:27

all these nuclear missiles all this Army

49:30

and he loses the election and he says

49:33

okay I give up all this power and I let

49:36

the other guy try this is this is

49:39

amazing and this is exactly what Trump

49:41

didn't do he from the beginning I mean

49:45

even from 2016 he refused they they

49:48

asked him directly if you lose the

49:50

election will you accept the results and

49:52

he said no and um in 2020 he did not

49:56

hand power peacefully he tried to

49:59

prevent it and the fact that he is now

50:02

running again and I I think to some

50:05

extent the lesson he got from the sixth

50:07

of January is that I can basically get

50:10

away with anything at least with my

50:13

people with my base that it was like a a

50:17

a test a try if I do this extreme thing

50:21

and they still support me

50:23

afterwards it basically means they will

50:26

support me no matter what I do I'm I'm

50:29

wondering in a world of um such a

50:31

fragile democracy when information Flows

50:34

In networks are disrupted by something

50:36

like AI if misinformation and

50:40

disinformation and the ability for me to

50:41

make a video I could make a video right

50:43

now of Donald Trump speaking and saying

50:45

something in his voice um and I could

50:48

help that video go viral like how do you

50:51

hold

50:52

together democracy and communication

50:54

when you don't believe anything that

50:56

you're seeing online H and we're just at

50:59

the start of this now so I we haven't

51:00

seen anything yet this is just really

51:02

the the first baby steps I'm going to

51:05

play a video on the screen right now so

51:07

people can see and for those listening

51:08

you'll just hear it but I'm going to

51:09

play a video that Isaac over there in

51:11

the corner of the room made of me

51:13

speaking in this chair and it wasn't me

51:16

and I didn't say it and I wasn't in this

51:17

chair hey there this is AI Steve do you

51:20

think I'll be able to take over the dire

51:22

of a CEO one day leave your comments

51:24

below and it sounds EX like me identical

51:27

and it's not me and I I wonder this with

51:30

you know mo most of us get our political

51:31

information and our information

51:32

generally now from social media yeah

51:35

from and if I can't believe anything

51:37

that I'm seeing because it's all easy to

51:38

make some kid in Russia in their bedroom

51:40

could make a video of the Prime Minister

51:42

here um I don't know where we get our

51:45

information from anymore how we the

51:46

answer is institutions we've been in

51:48

this situation many times before in

51:51

history and the answer is always the

51:53

same institutions you cannot trust the

51:55

technology you trust the institution

51:58

that verifies the information think

52:01

about it like with with

52:03

print that um you can write on a piece

52:06

of paper anything you want you can write

52:10

the prime minister of Britain said and

52:12

then you open quotation marks and you

52:14

put something into the mouth of the

52:16

Prime Minister you can write anything

52:17

you want and when people read it they

52:21

don't believe it or they they shouldn't

52:23

believe it just because it's written

52:25

that the prime minister said it doesn't

52:27

mean that it's true so how do we know

52:30

which pieces of paper to believe as an

52:33

institution we would believe or greater

52:36

chance we will believe if on the front

52:38

page of the New York Times or of the

52:41

Sunday Times of the Guardian you will

52:44

have the British prime minister said

52:46

open quotation marks blah blah blah

52:48

because we don't trust the paper or the

52:50

Inc we trust the institution of the

52:53

guardian of the or the Wall Street

52:55

Journal or whatever

52:57

with videos we never had to do that

52:59

because nobody could fake them so we

53:01

trusted the technology if we saw a video

53:04

we said ah this is this has to be true

53:06

but when it becomes very easy to fake

53:09

videos then we revert to the same

53:12

Principle as with Sprint we need an

53:15

institution to verify it if we see the

53:18

video on the official website of CNN or

53:23

of the Wall Street Journal than we

53:25

believe it because we believe the

53:27

institution backing it and if it's just

53:30

something on Tik Tok we know that you

53:32

know any kid can do that why why should

53:34

I believe it so now we are in the

53:36

transition period we are still not used

53:39

to it so when we see a video of Donald

53:42

Trump or Joe Biden the video still gets

53:45

to us because we grew up in a time when

53:48

it was impossible to fake it but I think

53:51

very quickly people will realize you

53:53

can't trust videos you can only trust

53:56

the the

53:57

institutions and the the question is

53:59

will we be able to produce uh to create

54:02

to maintain trustworthy institutions

54:05

fast enough to save the Democratic

54:09

conversation because if not if you can't

54:12

believe anything this is the ideal for

54:15

dictators uh uh when you can't trust

54:18

anything the only system that works is a

54:21

dictatorship because democracy works on

54:24

trust but dictatorship works on terror

54:27

on fear you don't need to trust anything

54:29

in a dictatorship you don't trust

54:31

anything you

54:32

fear uh for democracy to work you need

54:35

to trust for instance that some

54:37

information is reliable that the

54:39

election committee is impartial that the

54:43

courts are just and uh uh if more and

54:47

more institutions are attacked and

54:49

people lose trust in them then then then

54:53

democracy collapses uh but going going

54:55

back to to to information so one option

54:58

is that the old institutions like

55:01

newspapers and TV stations uh uh they

55:04

will be the institutions that we trust

55:07

to verify certain videos or we will see

55:11

the emergence of new

55:13

institutions and the again the big

55:15

question is whether uh we'll be able to

55:18

develop trust in them and I specifically

55:20

say institutions and not

55:23

individuals no large scale soci Society

55:26

especially not a Democratic Society can

55:29

function without trustworthy

55:32

bureaucratic

55:35

institutions and will those bureaucratic

55:38

institutions be AI That's the big

55:41

question because increasingly AIS will

55:44

be the

55:45

bureaucrats and what do you mean by

55:47

bureaucrats what's the word bureaucrat

55:48

what does that mean oh uh that that's a

55:50

very important question because uh uh

55:52

human civilization runs on bureaucracy

55:54

bureaucrats are essentially officient in

55:56

government that TR not just in

55:58

government it's I mean the origin of the

56:00

word bureaucrat it comes from French

56:02

from the 18th century and bureaucracy is

56:06

is means the the rule of the writing

56:08

desk is to rule the world or to rule

56:11

Society with pen and papers and

56:14

documents like the example we gave in

56:17

the very beginning about

56:19

ownership so there you own a house

56:22

because there is a document in some

56:24

archive that says that you own it and a

56:28

bureaucrat produced this document and if

56:31

you now need to retrieve it then this is

56:34

the job of of a bureaucrat to find the

56:36

right document at the right time and all

56:40

big uh uh uh systems run on it hospitals

56:43

and schools and corporations and Banks

56:46

and and sports associations and

56:49

libraries they they all run on these

56:52

documents and and the bureaucrats who

56:54

know how to read and write write and

56:56

find and file

56:59

documents one of our big problems is

57:01

that it's it's it's difficult for us to

57:05

understand bureaucratic systems because

57:07

there are a very recent development in

57:09

human evolution and this makes us

57:12

suspicious about them and we tend to uh

57:16

believe all kinds of uh uh conspiracy

57:20

theories about the Deep State and about

57:22

what what's going on in all these

57:24

bureaucracies

57:26

and it's really complicated and it's

57:28

going to be more complicated as more of

57:30

the decisions will be made by AI

57:32

bureaucrats and AI bureaucrat means that

57:36

decisions like how much money to

57:38

allocate to a particular issue will no

57:41

longer be made by a human official it

57:44

will be made by an algorithm and when

57:47

people decide why when people ask why is

57:51

the switch system broken why didn't they

57:54

why didn't they give enough money to fix

57:55

it

57:56

I don't know the algorithm just decided

57:59

to give the money to something else why

58:02

will bureaucracies be run by AI over

58:05

people like why will at some point a

58:07

nation decide that in fact AI can is

58:09

better at making these decisions first

58:12

of first of all it's not a future

58:14

development it's already happening more

58:16

and more of the decisions are being made

58:18

by AIS and this is just because the

58:21

amounts of information you need to take

58:23

into account are are enormous

58:27

and it's very difficult for humans to do

58:29

it it's much easier for the AIS to do it

58:33

if all these people you know bureaucrats

58:35

lawyers accountants it sounds like I I

58:37

always wonder you know what are humans

58:39

going to be left to do in your book you

58:41

say that AI is going to

58:46

far AI is going so far beyond human

58:49

intelligence that it should actually be

58:50

referred to alien intelligence now if it

58:53

goes so far beyond human intelligence

58:55

it's my asson that most of the work that

58:57

we do is based on intelligence so even

59:01

like me doing this podcast now this is

59:03

me asking questions based on information

59:05

that I've gathered based on what I think

59:07

I'm interested in but also based on what

59:09

I think the audience will be interested

59:10

in and compared to AI I'm a like a

59:14

little monkey like I you know what I

59:15

mean if if an AI has an IQ that is 100

59:18

times mine in in source of information

59:21

that is a fat million times bigger than

59:22

mine there's no need for me to do this

59:24

podcast I can get an AI to do it and in

59:26

fact an AI can talk to an AI and deliver

59:28

that information to a human but then if

59:30

we look at most Industries like being a

59:32

lawyer um accountancy I mean a lot of

59:36

Med the medical profession is based on

59:38

information um driving I think that's

59:41

the biggest employer in the world is the

59:42

profession of driving whether it's

59:43

delivery or Uber or whatever it is um

59:46

where where do humans belong in this

59:49

complex anything which is just

59:51

information in information out is ripe

59:54

for automation these are the easiest

59:57

jobs to

59:58

automate um like being a coder like

60:01

being a coder or again like being an

60:04

accountant at least certain types of

60:06

accountants lawyers doctors they are the

60:09

easiest to automate if a doctor the only

60:12

thing they do is just take information

60:14

in all kind of results of blood tests

60:17

and whatever and they information out

60:20

the they diagnose the disease and they

60:22

write a prescription this will be easy

60:25

to automate in the coming years and

60:27

decades but a lot of jobs they require

60:31

also social skills and motor skills if

60:35

your job requires a combination of

60:38

skills from several different fields

60:40

it's it's not impossible but it's much

60:43

more difficult to automate it so if you

60:45

think about a nurse that needs to

60:47

replace a bandage to a crying child this

60:50

is much much harder to automate than

60:53

just a doctor that writes a prescription

60:56

because this is not just data the nurse

60:59

needs uh uh good social skills to

61:02

interact with the child and motor skills

61:04

to just replace the

61:06

bandage um so this is harder to

61:10

automate and uh there will even for

61:13

people who just deal with information

61:15

there will be new jobs the problem will

61:17

be the retraining and not just you know

61:21

retraining in terms of of acquiring new

61:23

skills but psychological retrain

61:26

training how do you kind of reinvent

61:28

yourself in a new profession and do it

61:31

not once but again and again and again

61:34

because as the AI Revolution unfolds and

61:37

we have just at the very beginning of it

61:38

we haven't seen anything yet so there

61:41

will be old jobs disappearing new jobs

61:44

emerging but the new jobs will rapidly

61:46

change and vanish and then there will be

61:48

a new wave of new jobs and people will

61:51

have to reinvent themselves four five

61:54

six times to stay relevant

61:56

and this will create immense

61:58

psychological

61:59

stress so many of the big companies are

62:02

also working at the same time on

62:03

humanoid robots there's this humanoid

62:05

robot race going on and by humanoid

62:07

robots I mean you know Tesla have their

62:10

humanoid robot I think it's called Optus

62:12

which they're developing and it'll cost

62:13

you know X thousands of pounds and and I

62:16

watched a video of it recently where it

62:17

can do quite delicate sort of motor

62:19

skill based stuff so probably clean the

62:21

house it can probably work on the

62:22

production line can probably put things

62:24

in boxes

62:27

um and I just wonder when we say you

62:29

know people are going to lose their jobs

62:31

in a world where you have humanoid

62:32

robots and you have intelligence that's

62:34

beyond us and you combine the two where

62:36

these humanoid robots are very very

62:37

intelligent I go I don't know what I'm

62:40

like where did the the unemployed go to

62:43

to to find these new professions like

62:45

obviously it's it's difficult to

62:47

forecast the new professions of the

62:48

future history tells us then but I but I

62:51

can't get I can't figure out what the

62:52

new professions are I mean my girlfriend

62:54

does breath work I guess the breath work

62:56

part is quite easy to disrupt but then

62:59

she takes women away for retreats in

63:01

Portugal and stuff so I'm like okay

63:03

she's going to kind of be safe because

63:04

these women are going there to connect

63:06

with humans and to be in this little

63:07

special place offline intentionally so

63:10

Retreats she'll probably be fine yeah

63:12

anything that you know there are things

63:16

that we want in life which are not just

63:18

about solving problems like I'm sick I

63:21

want to be healthy I want my problem

63:24

solved but there are

63:26

uh um many things that we want to have a

63:29

connection like if you think about

63:32

sports um robots or or or machines can

63:35

run much faster than people for a very

63:38

long time now and we just had the

63:40

Olympics and people are not very

63:43

interested in seeing robots running

63:46

against each other or against people

63:49

because what really makes Sports

63:50

interesting in the end is the human

63:54

weaknesses and the ability of humans to

63:57

to deal with their

63:58

weaknesses and and human athletes still

64:01

have jobs even though in in again in

64:04

many lines like running you can have a

64:06

machine run much faster than the world

64:08

champion I thought about this the other

64:10

day and uh uh and another example is is

64:13

priests like one of the easiest jobs to

64:17

automate is the priesthood of at least

64:20

certain religions because you just need

64:22

to repeat the same texts and and

64:25

gestures

64:26

again and again in in specific

64:28

situations like if you have a wedding

64:31

ceremony then um you know the priest

64:33

just need to repeat the same words and

64:36

there you are you're married now we

64:38

don't think about priests as being in

64:40

danger of being replaced by

64:43

robots um because what we want from a

64:46

priest is not just the mechanical

64:48

repetition of certain words and

64:50

gestures we think that only

64:54

another frame flesh and blood human who

64:58

knows what is pain and love and and who

65:02

can suffer only they can connect us to

65:05

the Divine so most people would not be

65:08

interested in having the wedding

65:10

conducted by a robot even though

65:12

technically it's very easy to do it now

65:15

the big question of course what happens

65:17

if AI gains Consciousness this is like

65:19

the trillion dollar question of of of AI

65:22

Consciousness then it's all bets are off

65:26

but that's a a different and very very

65:28

big discussion I mean whether it's

65:29

possible how would we know and and so

65:32

forth do you think it's

65:34

possible we have no idea I mean we don't

65:37

understand what Consciousness is we

65:39

don't know how it emerges in the organic

65:42

brain so we don't know if there is an

65:45

essential connection between

65:47

Consciousness and organic

65:50

biochemistry so that it can't arise in

65:53

an inorganic uh silic based computer

65:57

there is a big confusion first of all

65:59

should be said again between

66:00

Consciousness and

66:03

intelligence um intelligence is the

66:05

ability to reach goals and solve

66:09

problems Consciousness is the ability to

66:12

feel things like pain and pleasure and

66:15

love and

66:16

hate humans and other animals we solve

66:19

problems through our feelings our

66:22

feelings are not something on the side

66:25

they are a main method for how to deal

66:29

with the world how to solve

66:31

problems now so far

66:34

computers they solve problems in a

66:36

completely different way than humans

66:38

again they are alien intelligence they

66:40

don't have any feelings when they win a

66:43

game of chess they are not joyful when

66:46

they lose a game they are not sad they

66:48

don't feel anything now we don't know

66:52

how organic brains produce these

66:56

feelings of pain and pleasure and love

66:58

and hate so this is why we don't know

67:01

whether an inorganic structure based on

67:04

silicon and not carbon whether it will

67:07

be able to generate such things or not

67:11

that's I think the biggest question in

67:13

in in science and um so far we have no

67:18

answer isn't Consciousness just like a

67:20

hallucination isn't it just like an

67:22

illusion that I think I'm conscious

67:25

because I've got at the circuitry which

67:26

tells me that I am effectively it tells

67:29

me through a bunch of like feelings and

67:31

things that I'm conscious like I think

67:32

I'm looking at you now I think I can see

67:34

you the feeling is real I mean even if

67:37

we are all it's like the Matrix and we

67:39

are all in how do you know it's real

67:41

it's the only real thing in the world I

67:43

mean there is nothing I everything else

67:46

is just conjuncture we we only

67:48

experience our own feelings what we see

67:52

what we

67:53

smell what what we touch this we

67:55

actually experience this is real then we

67:58

have all these theories about why do I

68:00

feel pain oh it's because I stepped on a

68:02

nail and there is such a thing in the

68:04

world as a nail and whatever it could be

68:06

that we are all inside that a big

68:08

computer on the planet ziron run by

68:11

superintelligent mice if I spoke to an

68:13

AI I could get an AI to to tell me that

68:15

it feels pain and sadness that's that

68:18

that's the that's a big problem because

68:20

there is a huge incentive to train AIS

68:23

to pretend to be alive to pretend to

68:27

have feelings and and and we see that

68:30

there is a huge effort to to to to

68:32

produce such AIS and in truth because we

68:36

don't understand Consciousness we don't

68:37

have any proof even that other humans

68:41

have

68:42

feelings I feel my own feelings but I

68:44

never feel your feelings I only assume

68:48

that you're also a conscious being and

68:51

Society grants uh this a status of a

68:55

conscious

68:56

entity to not only to humans but also to

68:59

some animals not based on any scientific

69:02

proof but based on social

69:06

convention like most people feel that

69:08

their dogs are conscious that their dogs

69:11

can feel pain and pleasure and love and

69:14

so forth so Society accepts most

69:16

societies that dogs are sentient beings

69:20

and they have some rights under the law

69:22

now as AI become even if AI has no

69:25

feelings no consciousness no sentience

69:28

whatsoever but it becomes very good at H

69:32

uh pretending to have feelings and

69:34

convincing us that it has feelings then

69:37

this will become a a social convention

69:40

that people will feel that their AI

69:43

friend is is a conscious being and

69:46

therefore should be granted rights and

69:49

there is even already a legal path for

69:53

how to do it at least in the United

69:55

States you don't need to be a human

69:58

being in order to be a legal person it's

70:02

funny because you mentioned you kind of

70:03

alluded to the fact jokingly that we

70:05

might just be in like a simulation it

70:06

was one of you like well maybe we're

70:07

just in a simulation but could be and

70:10

it's funny because in a world of AI I

70:12

think my belief in that as a possibility

70:16

has only increased this is in fact just

70:18

a simulation because I've watched us go

70:20

from when I was born not really having

70:22

internet access to now being being able

70:25

to kind of speak to this alien on my

70:27

computer that can like now do things for

70:30

me and having virtual reality

70:32

experiences which are sometimes quite

70:34

indistinguishable where my my you know I

70:36

fall into the Trap of believing that I

70:37

am inside squid games because I've got

70:39

this headset on and you play it forward

70:41

and you play it forward and you play it

70:42

forward and you imagine any rate of

70:44

improvement then I hear the the

70:45

arguments for simulation Theory and I go

70:47

do you know probably if you play this

70:48

forward a 100

70:51

years you know like at the rate we're on

70:54

the rate of trajectory we're on then we

70:56

will be able to create information

70:59

networks and organisms that don't in

71:03

like a laboratory or in a computer that

71:06

don't necessarily realize yeah they're

71:09

in the

71:10

computer especially with like what's

71:12

going on with it's already happening to

71:16

some extent you know these information

71:18

bubbles that more and more people live

71:21

inside them it's still not the whole

71:23

physical world but you get the same

71:26

event and people on say different parts

71:29

of the political political spectrum they

71:31

just can't agree on anything they live

71:35

in their own metries MH and you know the

71:38

the when when when the internet came

71:40

along for the first time the main

71:43

metaphor was the web the worldwide web a

71:46

web is something that connects

71:48

everything and now the main metaphor

71:51

which is uh uh the the simulate this

71:53

simulation theory is is is is is is

71:56

representing this new metaphor the new

71:58

metaphor is the cocon it's a web that

72:01

turns on you and en closes you from all

72:04

sides so you can no longer see anything

72:07

outside and there could be other cocoons

72:11

with other people in there and you have

72:13

no way to get to them yeah no nothing

72:16

that happens in the world can connect

72:19

you anymore because you're in different

72:20

cocoons you've only got to look at

72:22

someone else's phone you've only got to

72:25

look at someone else's Twitter or X or

72:28

Instagram is this the same reality it is

72:30

so different I do you know what I was

72:32

talking about over the weekend my friend

72:34

was at to my left scrolling he clicked

72:36

on the Discovery section which is where

72:38

you find new content I looked down at

72:40

his phone and was like it's all

72:42

Liverpool Football Club it's like the

72:44

entire feed is Liverpool and my entire

72:46

feed is completely different and I was

72:48

just thinking wow he lives in a

72:50

completely different world to me because

72:52

he's a Liverpool fan I'm a Manchester

72:54

United fan and and it's yeah just and to

72:57

think about that like to think that when

72:59

you open your phone and many of us are

73:01

spending up to 9 hours a day on our

73:03

mobile phones you're experiencing a

73:05

completely different window into a

73:07

completely different world than I am and

73:09

and this was you know this this is a

73:10

very ancient fear because um for

73:14

instance Plato wrote exactly about that

73:17

in the most famous Parable I think from

73:20

Greek philosophy is the the allegory of

73:23

the cave in which PL

73:25

imagines a theoretical scenario an

73:28

imaginary scenario of of a group of

73:30

prisoners chained inside a cave with

73:34

their face to a blank wall in which

73:37

Shadows are being projected from behind

73:39

them and they mistake the shadows for

73:43

reality and he was basically describing

73:45

you know people in front of his screen

73:48

just mistaking the screen for reality

73:51

and you have the same thing in Ancient

73:53

India with Buddhist and Hindu sages

73:56

talking about uh uh Maya which is the

74:00

world of

74:01

Illusions and the Deep fear that maybe

74:04

we are all trapped inside a world of

74:08

illusions that the the most important

74:12

thing that we think in the world uh the

74:15

the wars we fight we fight Wars over

74:18

Illusions in our

74:20

mind and uh this is now becoming

74:24

technically possible like previously it

74:26

was these philosophical thought

74:29

experiments now part of what is

74:32

interesting as a historian about the

74:35

present era is that a lot of ancient

74:39

philosophical problems and discussions

74:42

are becoming technical

74:45

issues that yes you can suddenly realize

74:48

PLO cave in your

74:51

phone so scary I find it really scary

74:54

because you're right like I think right

74:57

now some people might say that they have

74:59

some kind of grasp over like the ranking

75:01

system or why something shows up when I

75:03

search it or whatever but as these

75:06

intelligence aliens become more and more

75:09

powerful um it's of course we would have

75:11

less understanding because we're like

75:12

handing over the decision in some

75:14

Industries they are now completely the

75:16

king makers like I'm here on a book tour

75:18

I wrote Nexus so I go from podcast to

75:21

podcast from TV station to TV station to

75:24

talk about my book

75:27

but the the the entities I'm really

75:30

trying to impress of the algorithms M

75:33

because if I can get the attention of

75:36

the algorithms the humans will

75:38

[Laughter]

75:43

follow H yuck uh you know that's that's

75:47

our real we are basically kind of carbon

75:49

creatures in a silicon world I used to

75:51

think we were in control though and now

75:53

I feel like the Silicon in control

75:56

uh control is Shifting that that's we

75:59

are still in control to some extent we

76:01

are still making the most important

76:03

decisions but not for long and this is

76:06

why we have to be very very careful

76:08

about the decision we make in the in the

76:10

next few years because uh in 10 years in

76:14

10 in 20 years it could be too late by

76:17

then the algorithms will be making the

76:20

most important decisions you talk about

76:22

a couple of um big dangers you see with

76:24

the algorithms in Ai and the sort of

76:26

shift and disruption of information one

76:28

of them is this alignment

76:31

problem which um how would you explain

76:33

the alignment problem to me in a way

76:35

that's simple to understand so the

76:37

classical uh kind of example is a

76:40

thought experiment invented by the

76:42

philosopher Nick Bostrom in 2014 which

76:45

sounds crazy but but you know bear with

76:47

it um he imagines a super

76:51

intelligent uh AI computer which is

76:55

bought by a paperclip Factory and the

76:59

paperclip manager tells the AI your goal

77:03

the reason I I bought you your goal your

77:05

your entire existence you're here to

77:08

produce as many paper clips as as

77:11

possible that's your goal and then the

77:14

AI conquers the entire world kills all

77:17

humans and turns the entire planet into

77:21

factories for producing paper clips and

77:23

it even begins to send itions to outer

77:26

space to turn the entire galaxy into

77:29

just paperclip production

77:31

industry and the point of the thought

77:34

experiment is that the AI did exactly

77:37

what it was told it did not rebel

77:40

against the humans it did exactly what

77:43

the boss wanted but of course it was not

77:47

the the strategy it chose was not

77:50

aligned with the real intentions with

77:53

the real interests of the of the human

77:56

Factory manager who just couldn't

77:58

foresee that this will be the result now

78:01

this sounds like outlandish and

78:03

ridiculous and crazy but it already

78:06

happened to some extent and we talked

78:08

about it this is the whole problem with

78:11

social media and user engagement in the

78:14

very same years that Nick Bostrom came

78:17

up with this thought experiment in 2014

78:20

the managers of Facebook and YouTube

78:24

they told their algorithms your goal is

78:27

to increase user engagement and the

78:31

algorithms of social media they

78:33

conquered the world and turned the whole

78:36

world into user engagement which was

78:39

what they were told to do we are now

78:41

very very

78:42

engaged and again they discover that the

78:45

way to do it is with outrage and with

78:48

fear and with conspiracy theories and

78:51

this is the alignment problem when Mark

78:53

Zuckerberg told the Facebook algorithms

78:56

increase user engagement he did not

78:59

foresee and he did not wish uh that the

79:03

result will be collapse of democracies

79:06

wave of conspiracy theories and fake

79:08

news hatred of minorities he did not

79:11

intend

79:12

it uh but this is what the algorithms

79:15

did because there was a

79:18

misalignment between the uh uh the way

79:22

that the algorithm the goal

79:25

that was defined to the algorithm and

79:28

the interests of of human society and

79:32

even of the human managers of of the

79:35

companies that that are deployed these

79:38

algorithms and this is still as a small

79:41

scale

79:42

disaster because the social media

79:45

algorithms that uh uh created all this

79:49

social chaos over the last 10 years they

79:52

are very very primitive

79:55

AI this is like the the amibas of if you

79:58

think about the development of AI as an

80:02

evolutionary process for this is still

80:04

the amoeba stage the amoeba being the

80:07

very simple the very simple life forms

80:10

the the beginning like a single cell

80:12

life form we are still in evolutionary

80:15

terms organic evolution we are like

80:17

billions of years before we will see the

80:19

dinosaurs and the mamals or the humans

80:23

but digital evolution is billions of

80:26

times faster than organic evolution so

80:29

the distance between an AI amoeba and

80:33

the AI dinosaurs could be covered in

80:37

just a few decades if CH GPT is the

80:40

amiba how would the AI Tyrannosaurus Rex

80:44

would like would would look

80:46

like and this is where the alignment

80:49

problem becomes

80:50

really

80:52

disconcerting because if so much damage

80:56

was done by giving kind of the wrong

80:59

goal to A Primitive social media

81:01

algorithm what would be the results of

81:04

giving a

81:06

misaligned goal to a

81:09

T-Rex AI in 20 or 30 years the issue at

81:14

the heart of this is you know some

81:15

people might think okay just give it a

81:16

different goal but when you're dealing

81:19

with private companies who are listed on

81:21

the stock market there really is only

81:23

one goal that keep that exactly that

81:25

benefits survival so all of the

81:26

platforms have to say you know the goal

81:29

of this platform is to make more money

81:32

and to get more attention because also

81:34

it's mathematically easy and there is a

81:37

huge huge problem in how to define for

81:41

AIS and algorithms the the goal in a way

81:45

they can understand now the the great

81:48

thing about make money or increase user

81:51

engagement is that it's very easy to

81:53

measure it mathem atically MH uh one day

81:57

you have a million hours being watched

81:59

on YouTube then next a year later it's 2

82:02

million very easy for the algorithm to

82:04

see hey I'm making progress but let's

82:06

say that that Facebook would have told

82:09

its algorithm increase user engagement

82:12

in a way that doesn't undermine

82:16

democracies how do I measure that who

82:19

knows what is the definition for the

82:21

robustness of De of democracy nobody

82:24

knows

82:25

so defining the go of the algorithm as

82:28

increase user engagement but don't harm

82:30

democracy almost

82:32

impossible this is why they go for the

82:35

kind of of of easy goals which are the

82:38

most dangerous but even in that scenario

82:41

if I told if I'm the owner of a social

82:43

network and I say increase user

82:44

engagement but don't harm democracy the

82:46

problem I have is my competitor who

82:49

leaves out the second part and just says

82:51

increase user engagement is going to

82:53

beat me because they're going to have

82:55

more users more ibles more Revenue

82:57

advertisers are going to be happier then

82:59

my company is going to falter investors

83:00

are going to pull out that's a question

83:02

because there are two things to take

83:04

into consideration first of all uh you

83:06

have governments governments can

83:09

regulate and they can penalize a social

83:12

media company that defines goals in a

83:16

socially responsible way just as they

83:19

penalize newspapers or TV stations or or

83:21

or or car companies that uh behave in an

83:25

antisocial way the other thing is that

83:28

uh um humans are not stupid and

83:31

self-destructive that uh uh if we we

83:34

would like to have better products in

83:38

the sense of also socially better

83:41

products and I I gave earlier the

83:44

example with food diets like think how

83:48

much yes the food companies they

83:50

discovered that uh uh if they fill a

83:53

product artificially with lots of fat

83:55

and sugar and salt people would like it

83:59

but people discovered that this is bad

84:01

for their health so you now have a like

84:04

for instance a huge market for diet

84:06

products and people are becoming very

84:08

aware of what they eat the same thing

84:10

can happen in the information Market the

84:13

cost though is like 80 70 80% of people

84:15

in the US have like chronic disease and

84:17

are obese and you know life expectancy

84:19

is now looks like it's going the other

84:21

way a little bit in in the western world

84:23

and

84:25

and it's I don't know I just feel like

84:27

with um with

84:31

policing consumption of goods like

84:34

alcohols nicotine food seems much more

84:37

simple than policing

84:39

information and the flow of

84:42

information Beyond you know beyond

84:44

racism or like inciting

84:47

violence I don't know how you

84:49

police we already covered the the two

84:53

most basic and Powerful uh tools are to

84:58

hold companies liable for the actions of

85:02

their algorithms not for the content

85:04

that the users produce but for the

85:07

actions of the algorithms uh I don't I

85:10

don't think we should penalize Twitter

85:12

or Facebook if somebody post uh a a

85:16

racist post um I would be very careful

85:20

about penalizing Facebook for that

85:22

because then who decides what is racism

85:24

and so forth but if the algorithm of of

85:27

Facebook deliberately spreads some

85:30

racist conspiracy theory that's the

85:32

algorithm that's not human Free Speech

85:34

how do you know it's a racist conspiracy

85:36

theory though okay so now now we get to

85:39

the to the difficult conversation but

85:41

this is something that we have the

85:42

courts for and I would be very very

85:45

careful about having the courts judge on

85:48

the content of uh the production of

85:51

individual

85:52

users but when it comes comes to uh

85:56

algorithms deliberately routinely

85:59

spreading a particular type of of

86:02

information like a conspiracy theory we

86:05

can involve the courts the the key issue

86:07

is who has liability that it's the

86:09

company that is liable for the what the

86:11

algorithm is doing and not the human

86:15

individual liable for what they are

86:17

saying um and another key distinction

86:21

here is between private and public

86:25

like part of the problem is the Erasure

86:27

of the boundary between the two I think

86:30

that humans have a right to stupidity in

86:34

private that in your private space with

86:37

your friends and you with your family

86:40

you have a right to stupidity you can

86:42

say stupid things you can tell racist

86:45

jokes you can tell homophobic jokes it's

86:47

not good it's not nice but you're a

86:49

human being you're allowed to do that

86:52

but not in public

86:54

I mean even for politicians like as a

86:57

gay person if the Prime Minister tells a

87:01

a homophobic joke in private I don't

87:04

need to care about that that's his or

87:05

her business but if they say it in

87:08

public on on television that's a huge

87:10

problem now traditionally it was very

87:13

easy to distinguish private from public

87:16

you are in your private house with a

87:18

group of friends you say something

87:20

stupid that's private it's n Nobody's

87:23

Business

87:24

you go to the town square and you stand

87:27

on on a pedestal and you shout something

87:29

to thousands of people that's public

87:32

here you can be punished if you say

87:34

something racist or homophobic of

87:36

outrageous but it it was easy for you to

87:39

know now the problem is you go let's say

87:42

on WhatsApp you think you're just

87:44

talking with two of your friends and you

87:46

say something really really stupid and

87:49

then it it gets viral and it's all over

87:52

the place and and uh I don't have an an

87:56

easy solution for that but um

88:00

one one measure which is adopted by some

88:03

governments is for instance that uh uh

88:06

people who have a large following they

88:09

are held to a different standard than

88:12

people who don't even on the the most

88:15

basic thing of identifying yourself as a

88:17

human

88:18

being uh we don't want that everybody

88:22

would have to get some certification

88:23

from the government to talk with their

88:26

friends on on WhatsApp but if you have a

88:29

100,000 followers online we need to know

88:32

that you are not a bot that you're

88:34

actually a human being and again this is

88:37

not covered by freedom of speech because

88:39

Bots don't have freedom of speech the

88:42

slippery slope right because I've I've

88:44

gone back and forth on this argument of

88:46

anonymity and whether it's a good thing

88:47

or a bad thing for social networks and

88:49

the rebuttal that I got when I lent to

88:51

the side of um iding people is that like

88:54

totalitarian governments will use that

88:57

as a way to basically punish the people

88:59

who are speaking the totalitarian

89:00

governments are doing it whether we like

89:02

it or not it's it's not a question that

89:04

if the British do it then the Russians

89:07

will say okay so we'll also do it the

89:09

Russians are doing it anyway will

89:11

Americans start to do it will they start

89:12

to if if someone speaks out against

89:14

Trump and he has access to their

89:16

identity and information can he go look

89:18

at them and get them

89:19

arrested if we reach that point when the

89:22

courts will allow such a thing then we

89:25

are in very deep trouble

89:27

already and uh what we should realize is

89:31

that with the surveillance technology

89:34

now in existence a totalitarian

89:36

government has so many ways to know who

89:39

you are that it's that's not the the

89:43

main issue right you talked about um the

89:46

platforms being responsible for the

89:48

consequences yes in the UK over the last

89:52

month we've had I don't know if you've

89:54

heard that we had of riots and um I

89:56

think it was all triggered originally

89:58

when there was news that broke that a

90:00

someone had murdered some young children

90:03

yes and there was a confusion or sort of

90:05

a misinformation around that person's

90:07

religion and that meant that people Pro

90:10

that's an excellent example because you

90:12

know if I personally privately say to

90:16

just two of my friends I think the

90:18

person who did it is ex I don't think we

90:22

should be you should be persecuted for

90:23

that I could say it in my private living

90:25

room and it's the same thing if I say it

90:27

on WhatsApp or or on Facebook but if a

90:31

Facebook

90:32

algorithm picks up this piece of fake

90:35

news and starts recommending it to more

90:39

and more users then Facebook is liable

90:43

for the action of its algorithms you can

90:46

you should be able to take it to court

90:48

and say the algorithm deliberately

90:50

recommended a piece of fake news

90:54

and again if if the fake news was

90:58

produced by an influencer with a million

91:01

followers then it's also his he is also

91:04

liable for that but if if a private

91:06

individual in a private setting uh um

91:10

said something which is not true it's

91:13

fake

91:13

news and then an algorithm deliberately

91:17

spread it the main fault is with the

91:20

algorithm and the people who should be

91:22

in jail are the managers of the company

91:26

that owns this algorithm and not the

91:29

individual who uttered the words going

91:32

back to the riots issue let's say that I

91:35

don't know the guardian on the day of of

91:38

of the riots decided to pick up a piece

91:41

of of this fake news and publish it on

91:43

its front

91:45

page and they now go take the editor of

91:50

the Guardian to court and he says but I

91:52

didn't write it I just found this piece

91:55

of fake news and decided to put it on

91:57

the front page of the

91:59

Guardian now it would be obvious to us

92:03

that the editor did something very very

92:05

very wrong and he might or she might

92:08

have to sit in jail and it's not the

92:11

problem of the person who originally

92:12

produced the piece of fake news if

92:14

you're the editor of one of the biggest

92:16

newspaper in in the country and you

92:18

decide to publish something on your

92:20

front page you had better be very very

92:24

sure that what you're publishing is the

92:26

truth especially if it can incite to

92:28

violence how would a social network

92:30

owner know that how would they be able

92:32

to verify that everything is true at

92:34

that scale not everything but if uh for

92:38

instance something is likely to lead to

92:40

violence and the very first it's a

92:43

precautionary principle first of all do

92:46

no no harm again I'm I'm not asking

92:49

Facebook to

92:51

censor the piece of fake news I'm only

92:54

asking it don't get your algorithms to

92:57

spread it on purpose in order to get

93:00

user engagement and make a lot of money

93:02

if you are not sure about it just don't

93:05

spread it it's as easy as that how does

93:08

it know it's fake news versus it

93:10

thinking that it's actually really

93:12

important life- saving news so for

93:14

example that's the responsibility of of

93:17

of of of the company again like how does

93:19

the editor of the Guardian know or of

93:21

the financial times or of the Sunday

93:23

times how do they know if something is

93:25

true and if something should be

93:27

published on the front page if you are

93:29

now managing a social media company you

93:32

are managing one of the most powerful uh

93:35

uh newspapers in the world and you

93:38

should have the same kind of

93:39

responsibilities and the same kind of

93:41

expertise if you have no idea how to

93:44

judge whether an algorithm should

93:47

recommend something to millions of

93:48

people you in the wrong business you

93:50

know if you can't stand the heat get out

93:52

of the kitchen don't run a social media

93:55

company if you don't know what should be

93:58

shown to millions of people one of the

94:00

it's very P because obviously Mark

94:02

Zuckerberg's letter that he wrote this

94:04

week says I was approached by the FBI

94:08

who told me that Russia were trying to

94:10

in influence the elections and they were

94:13

given some information that there was

94:15

this laptop story Joe um Joe Biden

94:17

Hunter Biden who Joe Biden's son had

94:19

this laptop story which Facebook didn't

94:22

know if it was real or not and they

94:24

thought maybe it was a Russian um plant

94:27

I Russia had put the story there to try

94:29

and make sure Joe Biden didn't win the

94:30

elections so Facebook deprioritized it

94:33

stopped it going viral and suppressed it

94:36

turns out it was a real story and it

94:38

wasn't fake and Mark Zucker says he

94:41

regrets suppressing it because it was in

94:43

fact a real real story and in

94:44

suppressing it he kind of in influenced

94:47

the election to some degree mhm um so

94:50

it's so complicated to the point that I

94:52

just complicated to run a big Media

94:55

Company it's complicated to run the Wall

94:58

Street Journal or Fox News again what

95:00

happens if if the FBI comes to Fox News

95:04

or comes to the Wall Street Journal and

95:06

tells them look there is this story

95:09

planted by the Russians don't encourage

95:11

it and later on it turns out that it was

95:14

wrong um could happen and as the manager

95:19

of the Wall Street Journal you need to

95:20

deal with it and do I trust the FBI

95:23

under what conditions sometimes I should

95:25

sometimes I should be suspicious I feel

95:27

like you're can end up in jail H you're

95:30

the editor of the Wall Street Journal

95:31

you're gonna end up in jail either way

95:32

because either way you're influencing

95:34

elections and if you influ but that's

95:36

the business I mean the real problem is

95:40

when you have extremely powerful people

95:43

like zukerberg or Elon Musk that pretend

95:46

that they don't have power that they

95:47

don't have influence that they don't

95:49

shape shape elections we know for

95:52

centuries that the owners and editors of

95:55

newspapers they shave elections and

95:58

therefore we hold them to certain

96:00

standards and now the owners and

96:03

managers of platforms like Twitter and

96:06

YouTube and Facebook they have more

96:09

power than the New York Times or the

96:12

guardian or the Wall Street Journal and

96:14

they should be held to at least the same

96:17

degree of accountability and their stick

96:20

that oh we are just a platform we just

96:22

allow everybody to publish what they

96:24

want it doesn't work like that and we

96:26

don't accept it with traditional media

96:30

so why should we accept it with that's

96:32

that's the whole trick of these tech

96:34

companies that again we have thousands

96:37

of years of history and they tell us oh

96:39

it doesn't apply to us like if you have

96:42

a traditional industry like cars it's

96:45

obvious to everybody you cannot put a

96:47

new car on the road unless you made some

96:50

safety checks to make sure the car is

96:52

safe you cannot put a new medicine in

96:55

the on the market or a new vaccine on

96:57

the market without safety that's obvious

96:59

right but when it comes to algorithms no

97:02

no no no no that's a different set of

97:03

rules H you can put any algorithm you

97:06

want on the market you don't need any

97:07

safety rules and even more basic than

97:11

that you think about something like

97:12

theft you have the Ten Commandments

97:15

don't

97:16

steal and you know people know yes you

97:18

shouldn't steal until it comes to

97:20

information ah no no no it doesn't apply

97:22

to information I can can take your

97:24

information and without your permission

97:26

do all kinds of things with it and sell

97:28

it to third parties and this is not

97:30

stealing don't steal doesn't apply to my

97:33

line of business and this is what the

97:35

tech Giants have been doing in many

97:37

cases over the last decade or two

97:41

telling us that history doesn't apply to

97:44

them that all the wisdom that Humanity

97:47

gained in a very painful way over

97:50

centuries and thousands of years of

97:52

dealing with dictatorships and with uh

97:55

uh uh whatever it doesn't apply to the

97:58

new technology and and it does it does

98:00

apply do you ever feel tempted to just

98:04

log off and just like go live in a field

98:06

somewhere maybe like a desert maybe just

98:08

create a little bit of a cult and I do

98:10

it every year oh really yeah I take a

98:12

long Meditation Retreat of between 30

98:15

days and 60 days uh like this year I

98:17

plan in December after the book tour is

98:19

over to go 60 days from meditational

98:21

retreat in India and just completely

98:25

disconnect no smartphone no internet not

98:29

even books or or or or or writing paper

98:32

just just the information fast why it's

98:36

good for the mind uh again like with

98:39

food too much in isn't good for us we

98:42

need time to digest and to detoxify and

98:45

it's true of of the mind as well if you

98:48

just keep bombarding it with

98:50

more um it's you get addicted to the

98:53

wrong WR things you develop bad habits

98:56

and um you need or at least I need um

99:00

time off in order to really kind of

99:04

digest everything that happened and to

99:08

um decide what I want and what I don't

99:12

want what kind of habits addictions I

99:15

should I should try to to to to be rid

99:18

of and also to you know to get to know

99:22

my own mind when the mind is constantly

99:25

bombarded by information from

99:28

outside

99:30

you it's so

99:32

noisy you cannot get to know it because

99:36

there is so much noise but when the

99:40

noise uh uh is is goes

99:44

away then you can start to understand

99:47

what is the mind how does it function

99:49

how does it work where do thoughts come

99:52

from what is fear what is anger when

99:55

you're boiling with anger because of

99:58

something you just you now read you are

100:01

focused on the object of your anger but

100:04

you can't understand the anger itself

100:05

the anger controls

100:07

you when you have an information

100:11

fast you can just observe what happens

100:14

to me when I'm angry what happens to to

100:17

to my mind to my body how does it

100:20

control me and this is more important

100:24

than any angry story in the world to

100:27

understand what anger actually is it's

100:29

it's very very difficult I mean how many

100:31

times do people stop and just you know

100:33

try to get to know their anger and not

100:37

the object of the anger this we do all

100:39

the time we kind of Replay we we heard

100:41

something terrible that a politician we

100:43

don't like like I don't know somebody's

100:44

angry about Trump so he would replay it

100:46

again and oh he said like this he did

100:48

like that he will do this he will do

100:50

that and you don't get to know your

100:52

anger that way I have about 50 different

100:56

companies in my portfolio at flight

100:58

group now some of which I've invested in

101:00

and some of which I've co-founded or

101:01

founded myself one thing I've noticed is

101:03

that most companies don't put enough

101:05

effort into their hiring process in my

101:07

mind the first and most critical thing

101:09

in business is assembling your group of

101:11

people because the definition of the

101:13

word company is group of people and

101:15

throughout all of my companies whenever

101:17

I'm looking to hire someone my first

101:19

Port of Call is LinkedIn jobs who I'm

101:21

happy to say are also a sponsor of this

101:22

podcast they've helped us Source

101:24

professionals who we truly can't find

101:26

anywhere else even those who aren't

101:28

actively searching for a new job but who

101:30

might be open to a perfect role in fact

101:32

over 70% of LinkedIn users don't visit

101:35

other leading job sites so if you're not

101:36

looking on LinkedIn you're probably

101:38

looking in the wrong place so today I'm

101:41

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101:43

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101:45

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101:46

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101:49

terms and conditions

101:50

apply so interesting I was playing out

101:52

the scenario in my head as you speaking

101:54

of this future where there's almost

101:56

these two species of human you have one

101:58

species of human who are connected to

102:01

the

102:02

information um Highway through the

102:04

internet through the neuralink in their

102:06

brain that's just like they're hooked

102:08

and the algorithm is feeding them

102:10

information and they're acting upon it

102:11

and they're feeding it and then you have

102:12

this other group of people who decided

102:14

to reject that who didn't get the

102:16

neuralink who aren't trying to interface

102:18

with AI and that are living in a tribe

102:21

in some jungle somewhere and I like my

102:22

girl said this to me many years ago

102:24

she's going I think there's going to be

102:25

a split yeah and I kind of like you know

102:26

whatever but now I'm like I can see why

102:31

as things get more extreme you go you

102:33

know what I'm going to make a decision

102:34

here and especially when I saw the

102:36

neuralink that Elon musk's working on

102:38

that allows you to control computers

102:40

with your brain I sat on and the

102:42

computer to control your brain also it

102:44

both it go both you're right actually

102:45

didn't think about that but I just

102:47

imagined um and this is a question for

102:49

everyone listening if there's you and me

102:52

and I have the chip in my brain that now

102:54

humans have in their brain that they're

102:56

using to control computers with I am a

102:59

different species to you because I can

103:00

control the I can control my car

103:02

downstairs I can control the lights in

103:04

this room I can I can ask my brain

103:07

questions and get the answers my IQ

103:09

becomes 5,000 yours is still 150 or 200

103:13

yours is probably

103:14

250 but I'm a different species to I

103:17

have such a huge competitive advantage

103:19

over you that if you don't get the chip

103:22

um

103:24

then you you're screwed that's

103:26

speciation yeah again on a small scale

103:28

we saw it before in history there were

103:30

the people who adopted the written

103:32

document and the people who rejected it

103:34

right and they are not with us anymore

103:36

because the people who adopted the

103:38

written document they built these

103:41

kingdoms and Empires and they conquered

103:44

everybody

103:45

else um and we are in danger of the same

103:48

thing happening and this is not a good

103:50

thing because it's not like life was

103:52

better for the people with the documents

103:55

in many cases life was better for the

103:57

hunter gatherers who lived

103:59

before so what's the solution if I had

104:02

to you know having read your book

104:05

brilliant book Nexus a brief history of

104:07

information networks from the Stone Age

104:09

to

104:10

AI what is the

104:12

solution how do we how do we stop the

104:16

alignment problems us all becoming paper

104:18

clips the social chaos the

104:20

misinformation the the Silicon curtain

104:22

as you talk about in the book how do we

104:23

stop these things destroying our world

104:26

is there is there hope are you

104:27

optimistic the key is is is is

104:30

cooperation is connection between humans

104:32

I mean the humans are still more

104:34

powerful than the AIS the problem is

104:37

that we are divided against each other

104:39

and the algorithms unintentionally are

104:42

increasing the Divide again this is the

104:45

oldest rule of every Empire is divid and

104:51

rule this was the rule of of the Romans

104:54

of of the British Empire if you want

104:55

want to rule a place you divide the

104:57

people of that place against one another

105:00

and then it's easy to manipulate and

105:02

control them uh this is now happening to

105:04

the entire human species with AI that

105:07

just as we had kind of you know the the

105:09

Iron Curtain in the Cold War now we have

105:12

the Silicon curtain dividing not just

105:15

China from the US but also Democrats

105:18

from Republicans also one person from

105:21

another person and all of us from the

105:24

AIS which increasingly make the

105:26

decisions about all that uh we still

105:29

have the power for I don't know 5 years

105:33

10 years 20 years to to to make sure it

105:36

doesn't go in dystopian Direction but

105:38

for that we need to cooperate are you

105:41

optimistic um I try to be a realist I

105:43

mean the last few I mean I just came

105:45

from Israel and I saw a country

105:48

destroying itself for no good reason

105:51

whatsoever I it's a country that just

105:54

pressed the self-destruct button and for

105:57

no good reason and it can happen on a

106:01

global scale what do you mean I press

106:03

the self-destruct button it's not just

106:05

the war between Israelis and

106:07

Palestinians but Israel Society turning

106:10

against itself greater and greater

106:13

Division and

106:14

animosity and uh it's it's like a a a a

106:18

dark hole of uh uh of of anger and of

106:23

violence which is sucking more and more

106:26

people in you know all over the world

106:28

you now feel the shock waves from this

106:31

dark dark hole in the Middle East and

106:34

there is no good reason there is no

106:37

objective reason if I'll say something

106:39

about the Israeli Palestinian conflict

106:41

there is no objective reason for it it's

106:44

not like there is not enough land

106:46

between the Mediterranean and the Jordan

106:48

River that people have to fight for the

106:50

little land there is or there is not

106:52

enough food there is enough food for

106:54

everyone to eat there is enough land to

106:56

build houses and and hospitals and

106:58

schools for everyone why do people fight

107:01

because of different stories in their

107:03

minds they have these different

107:06

mythologies that God gave this whole

107:08

place just to us you have no right to be

107:11

here and they fight over

107:14

that and uh um this is a local or

107:19

Regional tragedy it can happen on a

107:21

global scale again if if something

107:24

ultimately destroys us it will be our

107:26

own delusions not the AIS the AI they

107:30

get their opening because of our

107:33

weaknesses because of our

107:36

delusions yal thank you so much for

107:38

writing a book I think this book is one

107:40

of the most well-timed books um that

107:42

I've ever come across because of

107:43

everything that's happening in the world

107:45

right now and it really helped me to

107:47

understand that the problem isn't

107:48

necessarily me versus you if you're on

107:50

the other side of the aisle the problem

107:52

is

107:53

information the networks of information

107:56

that we consume who's controlling those

107:58

networks of information um somebody is

108:01

manipulating us to be on different side

108:03

not just to be on different sides but to

108:05

see each other as enemies and right now

108:07

that's a person but it might not be soon

108:10

it might not be a person no and

108:12

understanding that I think helps us

108:13

focus on the root cause of of issues

108:15

that are sometimes hard to identify I I

108:18

think the problem is my neighbor I think

108:20

it's that person with different color

108:21

skin but actually if look one level

108:23

deeper it's the information networks and

108:26

what I'm being exposed to that are

108:28

brainwashing me and creating those

108:30

stories and as you talk about in your

108:32

previous book stories are ultimately

108:34

what are running the world and it's and

108:36

it's this wonderful the Nexus is just a

108:37

wonderful book at a wonderful time that

108:39

helps us to access um this knowledge of

108:43

the power of information and and how it

108:45

impacts democracy and relationships and

108:48

society and business and everything in

108:50

between um in a way that I hope

108:54

will lead to action and I think that is

108:57

something to be optimistic about yeah

109:00

ultimately I

109:02

think most humans are are good they're

109:05

good people yeah when you give people

109:08

bad information they made bad decisions

109:11

the problem is not with the humans it's

109:13

with the

109:15

information amen you we have a closing

109:18

tradition on this podcast where the last

109:19

guest leaves the question for the next

109:20

guest not knowing who they're going to

109:21

be leaving it for oh okay and the

109:23

question left for you

109:26

is what does it mean to be

109:33

strong

109:36

um to to accept reality as it

109:39

is uh to deal with reality without

109:43

trying to hide it disappear it uh put a

109:48

veil over

109:50

it so interesting

109:54

I think you're

109:56

right I think you're right certainly not

109:58

the answer I would have given but you

109:59

know you come what would you

110:01

say

110:05

um oh what would I

110:09

say I guess I probably would have spoken

110:11

to like perseverance in the face of a

110:14

lot of different difficulties and one of

110:16

those is is information but it's just

110:18

that that idea of like persevering

110:21

towards whatever your subjective goal is

110:22

in the face of and in spite of a variety

110:25

of different difficulties maybe that

110:27

strength um so that could be raising a

110:30

kid or it could be going to the gym or

110:31

whatever but I like your definition as

110:33

well because I think it's much more um

110:35

important in the times we find ourselves

110:37

in and there's honestly as a podcaster

110:40

you sometimes feel like you're caught

110:41

right in the middle of it because I

110:42

think everyone's trying to figure out if

110:43

I'm like on the right wing on the left

110:45

wing if I believe this if I endorse

110:47

every guest that I sit with and you

110:49

almost have to try and remain impartial

110:52

H but it's very very

110:56

uh difficult to for people to understand

111:01

that because they want you to fit

111:03

somewhere and they want because that's

111:05

weakness I mean you have a lot of people

111:07

who who claim to be very strong who

111:10

admire strength as as as a value yeah

111:13

but they can't deal with parts of

111:16

reality that don't fit into their

111:20

worldview or their desire yeah and they

111:22

think that strength is I have the

111:24

strength to just make these parts of

111:26

reality disappear yeah and no this is

111:30

weakness and again sorry for going back

111:33

to that but but this is also the war

111:36

like what is war is trying to disappear

111:39

a part of reality that you don't like in

111:42

this case an entire people I don't like

111:45

these people I don't think they should

111:47

be in reality so I try to make them

111:50

disappear and people say oh he's a very

111:52

strong leader is not he's a very weak

111:56

leader that a strong leader would be

111:58

able to acknowledge no these people

112:00

exist they are part of reality let's now

112:03

find out how do we live with

112:06

them

112:07

amen your book Nexus a brief history of

112:11

information networks from the Stone Age

112:12

to AI is a must read for everybody that

112:14

listens to this podcast and that has any

112:15

interest in these subjects at all it's

112:17

endorsed by two of my favorite people

112:18

Mustafa Solomon but also Steven fry and

112:21

Rory stwart who's a great person as well

112:22

as well um and it's endorsed for a very

112:24

good reason because it's a completely

112:26

mind expanding book written from someone

112:29

who only writes exceptional culture

112:31

shifting books so I'm going to link it

112:33

below and I highly recommend anybody

112:35

that's listened to this conversation and

112:36

that's interested in this subject matter

112:38

to go and get this book right now it's

112:41

available right now for pre-order and

112:43

then it's shipping in five days from now

112:44

when it releases so be the first to read

112:47

it um and hopefully be the first to

112:49

understand and action some of the things

112:51

that you learn in this book y thank you

112:53

so much for your time thank

112:57

you isn't this cool every single

113:00

conversation I have here on the Diary of

113:02

a CEO at the very end of it you'll know

113:04

I asked the guest to leave a question in

113:07

the Diary of a CEO and what we've done

113:10

is we've turned every single question

113:12

written in the Diary of a CEO into these

113:14

conversation cards that you can play at

113:17

home so you've got every guest we've

113:19

ever had their question and on the back

113:22

of it if you scan that QR code you get

113:26

to watch the person who answered that

113:29

question we're finally revealing all of

113:32

the questions and the people that

113:34

answered the question the brand new

113:37

version 2 updated conversation cards are

113:40

out right now at Theon conversation

113:42

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instantaneously so if you are interested

113:46

in getting hold of some limited edition

113:48

conversation cards I really really

113:50

recommend acting quickly oh

113:55

[Music]

114:12

[Music]

Interactive Summary

The video features an in-depth conversation with historian Yuval Noah Harari regarding his book, 'Nexus'. The discussion focuses on the history of information networks, the shift in power from humans to 'alien' AI, and the threat this poses to democracy. Harari explains how social media algorithms exploit human weaknesses like fear and anger to maximize engagement, leading to polarization and the erosion of trust in democratic institutions. He argues for the regulation of algorithmic behavior rather than just censoring human content, and highlights the necessity of maintaining trustworthy institutions to verify information in an era of easy content manipulation.

Suggested questions

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