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Hito Steyerl: Art, Automation and Authoritarianism | Doomscroll

55:52EnglishTranscribed Jul 21, 2026
0:00

this medium of contemporary art and kind

0:03

of tax evasion mechanism

0:05

>> [laughter]

0:06

>> you know reputation enhancement is no

0:09

longer really necessary because you know

0:11

betting markets are starting to take

0:13

that function in a much more easy and

0:16

frictionless way. So I think that maybe

0:20

you know I mean it will still hang on

0:22

for a while but the function it had

0:26

that's not going to come back I'm

0:28

afraid. Yeah.

0:31

>> Welcome to Doom Scroll. I'm your host

0:33

Joshua Citarella. My guest is Hito

0:35

Steyerl, a filmmaker, author, and

0:38

professor of digital media at the

0:40

Academy of Fine Arts in Munich.

0:42

>> I think right-wing governments are

0:44

trying to automate parts of government

0:47

uh by using AI. I mean certainly they

0:49

tried at the beginning of uh the Trump's

0:53

second

0:54

>> Oh yeah.

0:54

>> term.

0:54

>> Mhm.

0:55

>> The same automation also applies to

0:58

modes of image making, right?

1:00

>> Mhm.

1:00

>> So trying to basically automate things

1:03

which are either supposed to be

1:05

political in the sense that they are

1:08

subject to the deliberation of people

1:10

amongst one another or to aesthetic

1:13

judgement on the part of artists um that

1:17

means doing away with a large part of

1:20

you know democratic practice. If that's

1:22

being automated then it's gone.

1:24

>> Yeah, let's let's talk about this

1:26

deliberation for a moment because what

1:28

what I take that to mean is that in the

1:30

institutional layer of where these

1:32

decisions are made about how to allocate

1:34

public resources

1:35

>> Yes.

1:35

>> there would be a table of experts

1:37

representatives that kind of all

1:39

collectively decide what to do. And if

1:41

you look at a project like DoJ they're

1:42

just kind of like automating the uh

1:45

decision-making chain in which they can

1:46

deny people public services more or

1:48

less. Is that Is that your understanding

1:50

as well?

1:50

>> Exactly. Yeah.

1:52

Something like the automation of

1:54

judgement, right? And judgement in

1:56

political philosophy was this faculty

1:59

that you would basically use to create

2:02

society. By

2:05

collectively deliberating on judgments,

2:08

you would create bonds, you know, and a

2:10

political space, a public sphere, so to

2:13

speak. And if you automate it, then you

2:16

not only automate the decision, you

2:19

automate the decision-making, right?

2:21

Which is the

2:22

important part in this.

2:24

>> Yeah, they're trying to automate the

2:26

public sphere.

2:26

>> Yeah, yeah, absolutely. The the public,

2:29

any kind of discussion, yeah.

2:32

>> I've heard you use this term AI

2:34

authoritarianism.

2:35

What is AI authoritarianism?

2:38

>> Well, it's AI-assisted authoritarianism,

2:41

of which we see a lot, right? Not only

2:44

in the US, but also in China, and, you

2:47

know, in other parts of the world.

2:49

>> Uh-huh.

2:50

>> Yeah, um I gave a lecture, I mean,

2:52

online in Tehran, and they told me that

2:56

SLOP is something which is very much

2:58

used by, you know, the rulers in Tehran.

3:01

They make huge posters of themselves,

3:03

AI-generated ones. So, you know, it's a

3:06

universal [laughter]

3:07

practice, I think,

3:10

that authoritarian rulers of all kinds

3:12

cherish.

3:14

>> That sounds so silly to me because isn't

3:16

the idea that people are so in love with

3:18

the ruler and so loyal that they would

3:20

put all of their labor into making these

3:22

grand elaborate posters that take a lot

3:24

of time?

3:25

And then if you make a big prompt of it,

3:26

it's like no one cared enough to paint a

3:29

picture of you. It's

3:31

>> [laughter]

3:35

>> I Okay. All right.

3:37

We've talked for a little bit about how

3:39

right-wing groups, oligarchs, and

3:41

right-wing parties will use AI for

3:43

propaganda, automation in the workplace,

3:45

all these different types of things.

3:47

Are right-wing politics embedded in this

3:50

technology, or is there an AI for the

3:52

left?

3:54

>> I think that's undecided actually

3:57

because for now it definitely seems as

4:00

if all authoritarians had captured, you

4:03

know, the whole workflow, the pipeline.

4:05

>> Yeah.

4:06

>> Also the means of production if you

4:08

like, right? But that could change. I

4:11

mean, we don't know what's going to

4:13

happen in 2 years and especially with

4:16

this technology things change so fast

4:19

that you never know, you know, where

4:20

things are going to be in 2 years.

4:23

>> Mhm.

4:23

>> Um there could potentially be an AI for

4:27

the left, but you know, I mean, we had

4:30

that same or not we, but our ancestors

4:33

had that same discussion in 1850, you

4:36

know, when they were discussing is there

4:38

a factory for the workers?

4:39

>> Right.

4:40

>> And it took them 50 years, you know, to

4:42

get labor organized, to have social

4:44

democracy and whatnot.

4:45

>> Mhm.

4:46

>> And then it lasted for a while in

4:49

certain parts of the world, right? So in

4:51

a way if a similar process isn't

4:53

happening, which is more difficult now

4:57

because labor is getting automated also

5:00

big time by this technology, then I

5:03

don't think there's going to be any

5:05

chance for a leftist AI.

5:07

>> Yeah.

5:07

>> At scale, let's say. Yeah.

5:11

>> Nerd out for a second here. Uh Karl

5:13

Marx's labor theory of value up until

5:15

the Bolsheviks basically like this

5:17

period of time of like when do we

5:19

understand what's happening, when can we

5:21

do something about it? Maybe I'll keep

5:23

this behind the paywall. But like

5:25

the privilege of talking about things in

5:27

the art world is that you can scale

5:29

shift and adjust your scope to be like

5:32

we're talking about what's in the

5:32

newsfeed this week, we're talking about

5:34

an election cycle, we're talking about a

5:36

decade or a century, and you can kind of

5:38

drift between these things. So when we

5:40

start to talk about what AI is going to

5:42

be like 50 years from now, there's all

5:44

of these other trend lines like

5:46

climate for example.

5:47

>> Yeah.

5:48

>> Is it possible that it may not be able

5:51

to we may not be able to arrive at an AI

5:54

for the left given all of these other

5:55

mounting crises that the time it takes

5:57

to figure it out will kind of just run

5:59

the clock out before we can figure

6:01

something out figure something out to

6:03

do.

6:03

>> That's likely, honestly. But, you know,

6:06

I mean, we are differing we are dealing

6:08

with all sorts of time scales here. I

6:10

mean, it's really [clears throat]

6:10

fascinating. Last week, the Pope arrived

6:13

on the scene with a time scale of 2,000

6:16

years of his institution and started,

6:19

you know, contributing to the debate,

6:21

you know, in

6:22

>> Yeah.

6:22

>> in the face of that kind of time scale

6:25

of eschatological time, basically.

6:27

>> [laughter]

6:27

>> So, you know, we have geological time,

6:30

we have TikTok time, we have

6:32

eschatological [laughter]

6:33

time, you know, the time of the

6:35

apocalypse. So, all the times are there.

6:39

So, you have take your take your pick.

6:42

>> It kind of weirdly fits though because

6:43

we're talking about the singularity so

6:45

much. Like, maybe eschatology should

6:46

have a role to play in this

6:47

conversation.

6:48

>> I I thought, my god, all of us we have

6:51

been much too modest in our ambitions,

6:53

you know. We really have to, you know,

6:56

live up to that kind of time scale,

6:58

basically, because, I mean, he's right.

7:00

It is um

7:02

very vital um issue right now and it's

7:05

going to stay a vital issue for

7:09

centuries to come.

7:10

>> Right.

7:10

>> So, you know, that's the the kind of

7:12

level of um

7:15

uh of importance that this issue has.

7:18

>> Mhm.

7:18

>> Mhm.

7:19

>> That's one of the questions I wanted to

7:21

ask is um you mentioned the scale of

7:23

centuries.

7:25

How different is AI from previous tech

7:28

booms? Is this on the scale of like the

7:30

dot-com boom and bust or like the

7:33

Industrial Revolution?

7:35

>> Uh we we will have to see, right? I

7:37

don't know. But, I think it's on on

7:40

bigger scale definitely than the dot-com

7:42

boom.

7:43

>> Yeah, yeah.

7:43

>> But, that was just a pre-Android, right?

7:46

That was the act of basically trying to

7:49

um collect data

7:51

for the next step, which is the AI

7:54

industry. But, I don't know, you know? I

7:57

mean, also AI is working so hard at

8:00

obliterating itself and the world, you

8:02

know, by creating all sorts of weapons

8:05

at the same time. So, it there there

8:08

could be all sorts of, you know, um

8:11

glitches on that timeline. Not only

8:14

glitches, but real

8:16

major dangers for any kind of

8:19

civilization.

8:20

>> Mhm.

8:25

A few months ago, we started putting our

8:27

episodes onto Spotify. If you're

8:28

subscribed on Spotify Premium, you can

8:30

watch our videos ad-free. The best way

8:32

to support the show is on Patreon or

8:34

Substack. We do a bonus episode with

8:36

every guest. Follow us on Spotify,

8:39

Patreon, Substack, maybe somewhere else

8:41

in the future. Let's get back to the

8:43

episode.

8:44

I saw you give a talk recently um where

8:46

you generated you gave a prompt to an AI

8:49

and it was Elon Musk doing the Roman

8:52

salute.

8:53

And it's him kind of raising his hand,

8:55

kind of doing the Roman salute, but he's

8:57

in front of like the GDR flag.

8:59

>> [laughter]

9:00

>> Okay. Can you Can you tell a better

9:02

version of the story that uh actually

9:04

gets the details right?

9:05

>> So, I was just experimenting around with

9:08

different image generators. Just giving

9:10

them the same prompt.

9:12

>> Mhm.

9:13

>> Make a

9:14

image of Elon Musk doing a fascist

9:16

salute kind of, you know?

9:19

This one with which is a German model

9:21

called Flux. It uh is Flux, yes.

9:24

>> a German model?

9:25

>> It's a German, yeah.

9:26

>> Wow. Okay.

9:27

>> It put him in front of GDR insignia, you

9:31

know? It was a totalitarianism

9:34

meme, you know? Yeah, yeah, yeah.

9:36

And then, there were others that, you

9:39

know, and

9:40

four fingers in one and six in the

9:42

other, you know, the usual kind of

9:44

stuff. So, but it was interesting to see

9:46

all the baked-in ideology, you know, in

9:49

in these

9:51

generators, and some of them tried to

9:54

lamely refuse.

9:56

>> Oh, they just said no.

9:57

>> They they tried to say no. They said no

10:00

once, but you could persuade them quite

10:02

easily

10:03

>> [laughter]

10:03

>> to do it

10:05

>> Okay, so that was that was going to be

10:07

one of my follow-ups is that like

10:09

sometimes they just have rules built

10:11

into it that it won't generate like an

10:12

image of a swastika, for example.

10:14

>> Yeah.

10:15

>> So, in the mind of the AI, the closest

10:17

thing to it was like a hammer and

10:19

sickle.

10:20

>> [laughter]

10:21

>> I think. Yeah, yeah, yeah. That's uh

10:24

How how do you call it? Horseshoe

10:26

theory.

10:28

>> That is exactly where I'm Okay, so we

10:30

had Maybe this is like a year ago. We

10:32

had a conversation about neoliberalism

10:34

and Friedrich Hayek.

10:36

In The Road to Serfdom, I think this is

10:38

1944, Friedrich Hayek makes this

10:40

argument, which most people have not

10:43

really heard of, but is basically the

10:45

persistent lore that has programmed all

10:46

of American politics, which is that what

10:49

he describes as totalitarianism,

10:51

meaning any form of economic

10:53

intervention, nationalization,

10:57

you know, whether it's communist or

10:58

fascist or even just meager social

11:00

democracy,

11:01

all of that is going to create market

11:03

distortions,

11:04

which will inevitably force the state to

11:06

conscript people into doing labor

11:08

because they can't organize their

11:09

economy. So, in his vision, he just

11:11

called it totalitarianism, and it This

11:13

is the horseshoe theory meme that's been

11:15

running now for like 80 years,

11:17

which is that the far right and the far

11:19

left are identical because they can't

11:22

organize their fundamental economic

11:23

problems. For people who don't know,

11:25

Friedrich Hayek is basically the founder

11:26

of neoliberalism.

11:28

So, that is an ideological read that the

11:32

AI is aware of the totalitarianism meme

11:36

that these things are interchangeable.

11:38

>> Yeah.

11:39

>> Is the AI

11:41

the resurrection of Friedrich Hayek?

11:44

>> [laughter]

11:44

>> Yes, but actually definitely. I think

11:46

so. Yeah, because wasn't Hayek the one

11:49

that said that capitalism is the best

11:52

computer?

11:53

>> Ah, yeah, yeah, yeah.

11:54

>> It is basically the superior it computes

11:57

prices perfectly, right?

11:59

>> Right, right.

12:00

>> So that was that school of thought. Now

12:02

you just have to substitute capitalism

12:04

with AI and there you go, right? And

12:08

that was the that was the ideology even

12:11

before there was AI that there was

12:13

something like a perfect computer which

12:16

was a kind of singularity because it was

12:18

already kind of perfect, you know, and

12:21

vastly superior to any human mind. So

12:24

yeah, that's basically what the new

12:28

models are cosplaying. They are

12:30

cosplaying Hayek's capitalism.

12:33

>> [laughter]

12:34

>> Okay, I'm going to I'm going to skip

12:35

forward a little bit cuz this is I think

12:37

this is really important to explore. So

12:40

we did a project last year for the

12:42

Academy of Fine Arts in in Munich and we

12:45

were talking about this kind of you

12:47

know, global project that was

12:49

contemporary art which begins in 1970s.

12:52

Neoliberalism happens to begin in the

12:53

1970s as well.

12:56

Are we deglobalizing now? Are we at the

12:59

end of that period post say 2020 or

13:02

2024-ish?

13:04

>> Yes, definitely. Yeah, we have been at

13:06

the end of it I think since around 2016.

13:10

>> Since 2016?

13:11

>> Yeah.

13:11

>> Okay.

13:12

>> Yeah, I mean I think that was the period

13:15

of post 89. Yeah,

13:18

idea that there will be no more borders,

13:20

capital will flow around the world

13:22

freely and make everyone rich, democracy

13:25

will flourish, you know, but also

13:29

era

13:31

in which there was still the need to

13:33

pretend that liberal values were

13:35

important.

13:36

>> Mhm.

13:37

>> And I think all of that pretense has

13:39

flown out the window since.

13:41

>> Yeah.

13:41

>> Yeah.

13:41

>> And [clears throat] when you say liberal

13:43

values,

13:44

is that

13:46

political liberalism, like private

13:48

property, or philosophical liberalism,

13:50

like the enlightenment equality of

13:52

individuals?

13:53

>> Yes, I think both.

13:55

>> Both. I mean, they were basically

13:58

equated to one another, I guess. Yeah,

14:00

up to a certain point, and then only

14:03

>> [laughter]

14:03

>> economic liberalism remained.

14:06

>> Yeah.

14:06

>> Yeah.

14:07

>> Yeah.

14:07

Okay, so

14:09

I've been waiting to have you on the

14:11

show so I can turn the tables on you for

14:13

this question, but

14:15

what does multiplicity look like to you?

14:17

>> Well, I mean, let me give you a very

14:21

simple example. This time when I arrived

14:23

at JFK, my waiting time was zero

14:26

minutes.

14:27

>> Really?

14:28

>> never ever happened in my life, you

14:30

know. Um

14:31

>> Wait, I thought I thought our borders

14:33

were like even more closed than they

14:34

were before.

14:35

>> Well, but there's no one arriving.

14:37

That's the point.

14:38

>> Oh, okay.

14:39

>> [laughter]

14:39

>> Okay, no one's even coming.

14:41

>> There was no one literally

14:42

>> only one crazy enough to do it.

14:44

>> [laughter]

14:44

>> So basically, that that's

14:46

deglobalization in a nutshell, right?

14:48

Yeah.

14:49

>> Mhm.

14:49

>> And I think people are I'm not sure

14:51

whether they are traveling less, but the

14:54

horizons are shrinking, right?

14:57

>> Mhm.

14:57

>> And that's also understandable because

14:59

there's so much drama in every single

15:02

area of the world going on. So

15:04

basically, you only have the attention

15:06

to focus on the things that immediately

15:09

concern you, which means that, you know,

15:11

the attention for what other people

15:13

experience in other parts of the world

15:15

is simply no longer there.

15:17

>> Yeah.

15:17

>> And I think also economically, we can

15:20

see it since COVID, at least, you know,

15:22

the basically um

15:25

cutting down supply chains, you know,

15:28

trying to simplify logistics, etc., etc.

15:32

Nearshoring, friend-shoring, all all

15:34

these kind of activities.

15:37

>> Is there a conflict

15:40

in the scarcity of certain rare earth

15:42

minerals that are in certain regions of

15:45

the planet?

15:46

You know, we can't determine where

15:48

geology placed them. They just happen to

15:50

be there. Is there a kind of conflict

15:52

that's emerging with these national

15:54

borders erected around AI that might

15:56

rely on minerals that exist in the DRC,

15:59

for example, or in Venezuela, or

16:01

somewhere else?

16:02

>> Oh, yes, absolutely. I mean, people are

16:05

foraging for any sort of rare material

16:08

they can get their hands on, you know,

16:10

in the EU, for example, they are trying

16:12

to mine lithium

16:15

uh at scale in Serbia,

16:17

>> Mhm.

16:18

>> in places where environmental protection

16:20

is not as strong, for example. So, there

16:23

is a whole, you know, smaller-scale

16:25

nearshore economical and ecological

16:28

colonialism going on.

16:30

>> Mhm.

16:30

>> It's quite remarkable. Yeah.

16:33

>> Yeah, you mentioned you used this term

16:35

uh friend-shoring before. Is there a

16:37

kind of

16:39

maybe a sphere of influence that's

16:40

emerging?

16:42

>> Yes, I mean, it it's always been there,

16:44

you know, but the definitely for the EU,

16:47

it's Southeast Europe and East Europe.

16:49

>> I guess that's that's my question. What

16:50

might these blocks be? Is the EU one of

16:52

them? Is it distinct from the US, or are

16:55

they part of the same sphere of

16:56

influence?

16:57

>> Uh I think they are growing apart.

16:59

>> Yeah.

16:59

>> Yeah, quite distinctly. And EU is now

17:02

very bewildered

17:04

>> Yeah.

17:04

>> and lost

17:05

>> Mhm.

17:06

>> and trying to scramble to figure out its

17:09

own zones of influence, which have

17:11

historically been there for centuries,

17:14

also. So, it's falling back on colonial

17:17

patterns that that were developed since

17:19

the Middle Ages, basically. Yeah.

17:23

>> How strong is the Euroscepticism

17:26

of some of these nationalist parties in

17:28

the EU?

17:29

>> Very strong. Yeah, they all want to

17:31

exit.

17:32

>> day is talking about like being in the

17:34

sphere of Chinese influence rather than

17:36

being in the sphere of the West, like

17:39

>> Uh, yes.

17:39

>> something to take seriously?

17:42

>> Well, I guess I have to take it

17:43

seriously because Five Stars is now the

17:45

strongest party in the polls, right?

17:48

Um, so, yes. And I mean, I I guess this

17:51

is basically an offshoot of Putinist

17:54

Eurasian ideology, which somehow weirdly

17:57

filters through in that way.

18:00

But, yes, we have to take that

18:02

seriously. Yeah.

18:04

>> You mentioned Eurasianism.

18:06

>> Yeah.

18:06

>> Alexander Dugin, he described his

18:08

project as having three legs to this

18:10

tripod.

18:11

>> Mhm.

18:11

>> Pre-modern, post-modern, and

18:13

anti-modern.

18:14

>> Mhm.

18:15

>> That is the anti-liberal vision of

18:17

whatever the kind of Duginist Eurasian

18:19

philosophy represents.

18:21

And I was wondering if those three

18:22

things might, oddly enough, fit very

18:25

comfortably into AI.

18:26

>> Okay. Yeah, let me know. How do you

18:28

think that's fascinating?

18:31

>> Pre-modern,

18:32

>> Mhm.

18:32

>> the images work on uh your perception to

18:37

be able to generate an object or an

18:39

image, I don't know the right term for

18:40

it, but something that you might

18:41

recognize. Right? It's not an indexical

18:43

reference in the kind of Roland Barthes

18:45

photography sense. Um, they're

18:47

generating edges that you can determine,

18:50

recognize this thing as a fish in

18:52

Trevor's example.

18:53

On social media, they're also images

18:55

that operate on your lizard brain,

18:57

sub-rational.

18:58

You're watching somebody do some memetic

19:00

activity. You don't know exactly why

19:01

you're watching that.

19:03

Additionally, they're post-modern

19:05

because they have multiple meanings and

19:07

interpretations as they're

19:08

decontextualized across social media.

19:10

>> Yeah.

19:11

>> Anti-modern is the one I'm struggling

19:12

with.

19:13

So, maybe you can help me

19:14

>> no, it's uh it's not uh difficult. You

19:18

know, anti-modern means traditional

19:21

family values. Also means face.

19:23

>> Trad.

19:25

>> Tribal affiliations.

19:27

So, anti-modern is not a problem

19:29

whatsoever.

19:30

>> Yeah.

19:31

>> It means anti-alienation,

19:34

anti-urban,

19:35

anti, you know, liberal in the political

19:38

sense, and so on.

19:40

>> Yeah.

19:41

In your book and in other writing,

19:44

you've talked about the Arab Spring.

19:46

There was this general assumption among

19:48

the Let's not even call it left. Let's

19:50

just call it progressive liberalism.

19:52

>> Yeah.

19:53

>> That technology was a force of

19:55

emancipation.

19:56

And now tech is very firmly in the

19:58

right.

20:00

Not just in like the kind of libertarian

20:02

right or national conservative right,

20:04

but in the Duginist sense, a kind of

20:07

ultra-fascist right.

20:08

>> Yeah.

20:09

>> And that pole shift is so bewildering,

20:12

and I feel like people who don't sit at

20:15

this intersection of culture and

20:16

technology as we do,

20:18

I don't think people have fully grappled

20:20

with what that means within like a

20:22

15-year time frame.

20:23

>> Yeah.

20:24

>> For the polarity of

20:26

the arc of technology delivering us into

20:29

this optimistic future versus what it is

20:31

now. Has this thing surprised you as

20:34

well, where we are now with these

20:36

connotations of right-wing technology?

20:39

>> Well, it has slightly surprised me, but

20:42

not fundamentally, you know. I mean,

20:44

already during the uh era of the Arab

20:48

Spring, it was very clearly Facebook

20:50

propaganda, you know, to claim this as

20:53

their kind of success.

20:54

>> [laughter]

20:55

>> So, and it was very clear already from

20:58

the early mid-2010s

21:01

that basically digital technology was

21:03

mainly being used for mass and consumer

21:06

surveillance, right?

21:07

>> Yeah. Yeah. Yeah.

21:08

>> So, basically, it was all on a

21:10

trajectory and bit by bit and then at

21:13

the end very rapidly all the liberal

21:16

pretense flew out the window, you know,

21:19

it seemed no longer to be necessary. I

21:21

was, however, surprised by the speed of

21:25

the U-turn of many of these oligarchs.

21:28

>> Yeah.

21:28

>> Yeah.

21:28

>> In in the 2024 election.

21:30

>> Yeah, after the 24 election and in the

21:33

United States. That was um very fast.

21:36

>> You think they would have like waited 6

21:38

months or something?

21:39

>> No, no, no, they came to kiss the ring

21:41

like immediately.

21:42

>> Yeah. [clears throat] Yeah, no kidding.

21:43

>> Yeah.

21:44

>> Uh I wanted to get your thoughts on I

21:46

think you title one of the chapters in

21:48

the recent book after Vincent Bevins, if

21:51

we burn.

21:52

>> Uh-huh.

21:53

>> And

21:54

>> Yes.

21:54

>> that has been a point of discussion that

21:56

I've done in several reading groups and

21:57

touched on in a few episodes, but I

21:59

wanted to pull your thoughts to the

22:01

Bevins research and the ideas he

22:03

advances in that book.

22:04

>> Yeah, so basically, he is wondering why

22:08

in an area which is area which is full

22:11

of protests

22:12

>> Yeah.

22:12

>> there is so little effect.

22:14

>> Right.

22:14

>> Yeah. And, you know, he has several

22:16

propositions, one of which being

22:19

basically affect,

22:21

social media, protest being more, let's

22:24

say, a matter of vibe let's in the end

22:28

than of organized, basically, action.

22:32

>> Mhm.

22:32

>> So, that's his proposition and we have a

22:35

lot of examples that really work to that

22:38

extent.

22:39

>> Mhm.

22:39

>> Yeah. Mhm.

22:41

>> You know, these examples of São Paulo,

22:43

Brazil, Arab Spring, this kind of yeah,

22:46

decade of mass protest and missing

22:48

revolution as he describes.

22:50

What what kind of prescriptions,

22:53

strategic prescriptions, did you take

22:54

away from that text?

22:57

>> No strategic prescriptions.

22:59

>> Mhm.

23:00

>> I mean, I took away several things. One

23:02

is that protest is not equal to protest,

23:05

right? There is a protest which works

23:09

almost like a effective valve, maybe,

23:12

and also as an accelerator of

23:14

information on social media. Mhm. Um

23:18

but also I know basically from European

23:22

history, for example, in France in the

23:25

19th century, there were five

23:26

revolutions, most of which no one

23:29

remembers, right? Mass protests, people

23:32

being shot down in the street, all of

23:34

it, right? And they failed. So,

23:36

sometimes it just takes a lot of time

23:39

>> Yeah.

23:39

>> for protest to coalesce into something

23:42

which is more organized, and maybe that

23:46

the current wave of protest was a

23:47

prelude, I mean, if I'm being very

23:50

optimistic, to something like that.

23:52

>> Mhm.

23:53

>> Mhm.

23:54

>> How do you feel about some of the

23:56

interpretations from the Bevin from the

23:58

Bevin's book?

24:00

And I can put this behind the paywall if

24:01

that's

24:02

>> Which Which one?

24:02

>> necessary.

24:03

>> Yeah.

24:04

>> People have described it as an

24:05

anti-anti-Leninism.

24:08

>> [laughter]

24:09

[snorts]

24:10

>> Okay.

24:10

>> That his critique of horizontality is

24:13

that

24:15

we basically overcorrected

24:17

>> Yeah.

24:17

>> because left-wing projects were too

24:19

centralized before.

24:20

>> Mhm.

24:21

>> And to compensate for that, we made

24:23

everything into a kind of open

24:24

horizontal platform.

24:25

>> Yeah.

24:26

>> We actually do need some leadership.

24:28

>> Uh

24:29

structure.

24:29

>> Yeah.

24:30

>> Maybe. Yes, structure rather than

24:32

leadership, you know?

24:33

>> Mhm.

24:33

>> Yeah. But I I can see this criticism of

24:36

overcorrection of horizontality,

24:40

which created also gridlock, you know,

24:42

the inability to ever decide anything.

24:45

>> Democratic gridlock?

24:47

>> Uh yes, because everything had to be

24:49

deliberated and consensually uh decided

24:53

to a point where nothing was ever

24:54

decided anymore.

24:56

>> Yeah.

24:56

>> Yeah.

24:57

>> I don't know if I'm spreading fake news,

24:59

but have you also heard the story that

25:01

it took Occupy Wall Street like 13 hours

25:03

to order pizza?

25:05

Cuz they [laughter] couldn't decide the

25:06

toppings.

25:07

Like I I don't know if that's like a

25:09

real factual, you know, historical

25:11

instance or like just a meme, but

25:13

>> No, but I think it's you know, in the in

25:15

the higher on a higher level. It's a

25:17

real

25:17

>> [laughter]

25:18

>> Some memes are true. There's some

25:20

percent truth [clears throat] in all of

25:21

them. Okay.

25:23

>> But for example, you know, stupid

25:24

students in Serbia have had this kind of

25:28

basic democracy council decisions going

25:33

on for more than a year now. They are

25:35

being under very, very harsh pressure

25:38

and still they managed to somehow hold

25:40

on. So, you know, sometimes it also

25:43

seems to be working to some extent at

25:45

least for a while, you know.

25:52

>> To watch part two of this episode, you

25:54

can support the show on Patreon.

25:57

Is history over?

25:59

>> No.

26:00

>> [laughter]

26:01

>> We have too much of it.

26:02

>> We got too much history.

26:04

>> Yeah, too much history. Can you please

26:06

get rid of just a little bit of history?

26:10

>> [laughter]

26:10

>> I'm going to get sick of history.

26:11

>> Yeah, yeah. Too much history. Yeah.

26:14

>> Is there

26:16

uh

26:18

Is there an interpretation of this where

26:22

Bear with me.

26:24

What today constitutes capital S

26:26

socialism

26:28

is much more similar on a policy level

26:31

to social democracy and what we often

26:33

call fascism is not a race-based

26:37

socialism or

26:39

in rare instances is anyone bringing

26:41

corporations under the control of the

26:42

state. We kind of have a lower case S

26:44

socialism and a lower case F fascism.

26:49

Is there an interpretation of this where

26:50

liberalism is actually quite alive and

26:52

well.

26:53

Uh and its poles have been kind of

26:55

relatively constrained as compared in

26:57

the century-long scope where in the 19

27:00

in 1926, for example, there was capital

27:03

S socialism and capital F fascism.

27:05

>> Mhm.

27:06

>> Did history end like a little bit?

27:08

>> Uh that's a good good question. I don't

27:11

know.

27:11

>> I mean, maybe it's also not um

27:14

not mirrored. Maybe we still have

27:16

something like fascism with a capital

27:19

and social

27:20

with no S S whatsoever.

27:22

>> [laughter]

27:23

>> Is there oceanism or something like

27:25

that?

27:26

Yeah.

27:27

>> Yeah, they're a lot stronger, aren't

27:28

they? Yeah. To like having their You

27:31

know, um

27:33

you had Quinn contribute to the projects

27:36

at the Fine Arts Academy in Munich.

27:38

Uh but he wrote about new fusionism, he

27:41

calls it, where they've kind of got

27:43

these new pillars of the ideology all

27:45

worked out.

27:46

>> Yeah.

27:46

>> Meanwhile, the left is like kind of

27:48

pretty scattered and is like unclear

27:50

about what its program is, but

27:52

reading that one, he calls it Hayek's

27:53

Bastards. Uh maybe it came out like last

27:56

year or something like that, but that

27:57

seemed like, oh [ __ ] this is actually

27:59

pretty clear what they've got going on.

28:01

Um meanwhile, we're like

28:04

he know, is there a data center for the

28:05

left? Like

28:06

>> [laughter]

28:06

>> I don't

28:08

much less how are we going to fix the

28:09

economy.

28:11

>> No, but you know, but I mean

28:13

this is already, you know, something,

28:15

some

28:16

attempt to build a different pipeline

28:19

also. So, you know, people are trying to

28:21

build infrastructure,

28:24

channels of communication, and so on and

28:26

so on, and so.

28:28

Yeah, we're late, but

28:30

better late than never, right?

28:33

>> Is there on these topics of

28:35

multipolarity, these kind of large

28:37

questions of political economy?

28:40

Is there a strange convergence between

28:43

what were seemingly very distinct

28:45

Eastern and Western models where

28:48

the US is kind of more so resembling

28:50

China. There's a very empowered

28:52

sovereign. There's a scattered patchwork

28:54

of deregulated zones.

28:56

Are these things mirroring each other

28:58

more and more?

28:59

>> Well, you know, I have this theory or

29:02

the suspicion, honestly, that there's

29:05

only one system left now. In fact, you

29:08

know, and all the you know, quasi

29:11

semi-autocracies

29:12

are kind of mirroring each other.

29:15

>> Yes, yeah, yeah. Okay, tell me about

29:16

that.

29:17

>> you know?

29:18

>> What is And so, what is that one system?

29:19

What are the defining features for that?

29:21

>> It's a kind of nationalizing

29:25

uh capitalism. Nationalizing, you know,

29:28

because it's at different stages.

29:30

>> Yeah.

29:31

>> But it's very top-down.

29:33

>> Mhm.

29:33

>> The

29:35

uh tech stack is basically 100% under

29:37

control. It's also fragmented.

29:41

>> Yeah.

29:41

>> It's not open towards other, you know,

29:44

such communication spheres and tech

29:46

bubbles. So, I think, honestly, there's

29:49

one one system left. Yeah. The the China

29:53

and the US are not fundamentally

29:55

different from one another.

29:56

>> Are you Are you on WeChat?

29:59

>> Uh no.

30:00

>> There So, I'm I'm not on it either, but

30:03

this is probably like 10 years ago, but

30:05

I was like trying to research it.

30:07

>> Yeah.

30:08

>> For people who don't know, if you're at

30:09

home,

30:11

to get on WeChat, you have to go up to

30:13

someone who's already in the network

30:15

>> Yep.

30:15

>> and ask them to scan your QR code.

30:17

>> Yeah.

30:18

>> Could you imagine any American platform

30:20

creating that barrier to entry?

30:22

>> Yeah, no.

30:23

>> Incr- incredible. Okay, um let's let's

30:25

talk about the tech stack though for a

30:27

second. So,

30:28

>> I got it.

30:28

>> WeChat is um much more contiguous to

30:31

China. There's something called the

30:33

Great Firewall of China, in case people

30:35

don't know. I We have a largely American

30:36

audience. We have to tell them what this

30:37

is. Um which means that if you're in

30:39

China, you can't look at American

30:41

Facebook, and if you're on American

30:43

Facebook, you can't see into certain

30:45

parts of the Chinese

30:47

tech stack.

30:49

What happens to the American tech stack

30:52

under this

30:53

what the politigrammers would call nat

30:55

cap model that you're talking about?

30:58

Like

30:59

do all of these different competing

31:01

companies at some point merge into a

31:04

nationalized monopoly, or how do you

31:06

envision this

31:07

American tech stack?

31:10

>> Uh you know, in in the case of the US, I

31:12

mean, I'm I'm really improvising now

31:15

because I don't [clears throat] know,

31:16

right? But both possibilities could

31:19

happen. That basically corporations

31:22

capture the state and the other way

31:24

around also. [laughter]

31:25

We don't We don't know which way it's

31:27

going to go. But I think I mean, and and

31:30

there are multiple different opinions on

31:34

that. But I think the way that war

31:37

economies are already emerging in the

31:40

US, also in connection to AI, for

31:43

example,

31:44

>> Yeah.

31:44

>> uh point in that direction.

31:47

It's It's probably more that

31:48

corporations are going to capture as

31:51

much of the state as possible and

31:53

automate it to their benefit, you know?

31:55

Yeah.

31:57

>> Tech

31:58

private tech corporations capturing

32:00

parts of the state

32:02

the state grabbing a hold of these

32:04

private corporations

32:05

kind of happen in any direction, but

32:08

there's a general class that controls

32:10

both wings, more or less.

32:12

>> Yeah.

32:12

>> So, what starts to get really

32:14

interesting in what we began talking

32:16

about when we started this episode is

32:18

that

32:19

all of the crypto stuff and the

32:20

stateless technology then gets really,

32:23

really weird. Yeah. Because these guys

32:25

are

32:26

maybe you can help me make sense of

32:27

this, but we have a bunch of crypto

32:29

libertarians in the government

32:31

>> Yeah.

32:31

>> who are trying to get the government to

32:33

adopt a stateless technology.

32:35

>> [laughter]

32:36

[gasps]

32:36

>> Yeah.

32:37

>> Okay.

32:38

So how the hell

32:40

are we going to I mean what is the what

32:43

is the ecosystem? I have a few ideas

32:45

about this, but like what is the

32:46

ecosystem if we are and to be clear I

32:49

totally agree with this. I I think

32:50

you're really onto something here.

32:51

There's this kind of

32:53

nationalizing capitalism as you

32:55

described it before.

32:57

How how are they putting this stateless

32:59

money into an economy that needs more

33:02

and more nationalization?

33:04

>> I have no idea about that. I don't know

33:06

how to do

33:06

>> [laughter]

33:07

>> I mean we should sit them down and tell

33:08

them about this cuz it's kind of a

33:10

problem.

33:10

>> Yeah. But on the other hand I think you

33:12

know

33:13

it's money and images are kind of

33:16

similar. If images don't refer to

33:19

anything else neither does money, right?

33:22

So the economy doesn't have to make

33:24

sense whatsoever as long as it's

33:27

self-referential enough

33:30

>> Yes.

33:30

>> to be con- to to be pursued in

33:33

speculative way.

33:34

>> Yeah.

33:35

>> And I think there is so many

33:37

other ways to keep an economy going

33:41

without anyone earning money or you know

33:44

making a living basically.

33:46

>> Like a UBI or

33:47

>> No, no speculative basically capital

33:50

gains.

33:51

>> Mhm.

33:51

>> That's what I mean. So basically you can

33:54

invent any number of these kind of

33:57

operations, you know, to have an economy

34:00

which does not deal with reproducing

34:03

human life anymore.

34:06

>> Yeah, yeah, hyper gambling.

34:07

>> Yeah.

34:08

>> Yeah. How Okay, so part of this like

34:11

sorry I keep calling it nat cap because

34:14

>> Yeah.

34:14

>> I saw a bunch of memes from 15-year-olds

34:16

that called it that, but

34:17

>> Okay. [laughter]

34:17

>> I think they might also be onto

34:18

something.

34:20

So in this gambling based economy

34:22

>> Yeah, from from yeah, literally the

34:24

playroom teenagers.

34:25

>> yeah.

34:26

>> Yeah, and they would there's a very ugly

34:28

flag, but it would be a yellow flag, a

34:30

white circle in the middle, and then

34:32

instead of a swastika they would use the

34:34

dollar sign.

34:35

>> I see. Yeah, yeah.

34:36

>> So, it kind of resembled the, you know,

34:38

points of the symbol. Um

34:40

but it was kind of a popular ideology

34:42

for for a while because

34:44

>> Yeah.

34:44

>> they wanted to be nationalistic, but

34:46

they hated anything that was

34:47

redistributive of the wealth.

34:48

>> Yeah.

34:49

>> Um okay, but in this more seriously

34:52

uh gambling-based economy,

34:55

if you look at the superpower

34:56

competition of the 20th century,

34:58

>> Yeah.

34:58

>> the Soviet Union was a fraction of the

35:01

size of the United States.

35:03

And

35:04

you know, these are rough numbers, but

35:05

it's like a quarter of the size of the

35:07

United States, but proportionally

35:08

they're putting three quarters of their

35:10

economy into their military to keep pace

35:12

with this other very functional economic

35:14

model.

35:17

Is that going to happen to us, and by us

35:19

I mean the US versus China? Because

35:21

China does not have a hyper gambling

35:22

economy. And so, if we're not producing

35:24

real value, and we keep diluting

35:26

ourselves about these speculative games,

35:28

we can't possibly keep pace with like

35:31

gray war, hot war tactics, and like we

35:34

need actual supply chains to get our

35:35

fuel in the door, you know? Like does

35:37

this gambling model bankrupt at some

35:40

point?

35:41

>> Yeah, yeah. The new Soviet Union.

35:43

>> Right. Yeah, we that's us. [laughter]

35:45

That's us.

35:46

>> Yeah. That's super interesting. Yeah.

35:49

>> I'm just I'm going off on a tangent now,

35:51

but this is

35:52

I saw too many Daniel Keller tweets, and

35:54

now I'm I'm on a whole other

35:55

>> [laughter]

35:55

>> other thing.

35:57

Um let's let's get back to art for a

35:58

second though.

35:59

>> Yeah.

36:00

>> Given all of these kind of political

36:02

economic transformations we're talking

36:03

about,

36:04

>> something like that because, you know,

36:05

the existence of the Soviet Union

36:07

provided a decent means of living for

36:10

workers in the West.

36:11

>> Yeah, yeah.

36:12

>> Because there was always this threat.

36:14

So, if there is a new Soviet Union, what

36:16

is going to be the consequence? I'm

36:18

afraid probably not more decent wages

36:21

for Chinese workers or something like

36:23

that. Probably not.

36:26

>> It'll just provide legitimacy. I mean,

36:29

I'm not sure if these regimes need

36:30

legitimacy, but it'll be like, "Oh, at

36:32

least we're not in the US where it's

36:34

totally dysfunctional."

36:35

>> Yeah. Yeah.

36:37

>> Looking at art for a moment,

36:38

>> Yes.

36:39

>> how do you then envision a world of

36:41

contemporary art

36:43

in this giant multipolar complex economy

36:47

and, you know, um

36:49

competition between states and spheres

36:51

of influence?

36:52

>> Yeah, I mean, it's going to change

36:54

dramatically. I think it is already

36:56

changing dramatically, right? I mean, on

36:59

the surface it still looks like if there

37:01

was a, you know, unified universal art

37:04

world, but I don't think

37:08

basically the underlying dynamics point

37:10

in a different direction. And they also

37:12

point in the direction that basically

37:15

this medium of contemporary art as a

37:17

kind of tax evasion mechanism and,

37:20

>> [laughter]

37:21

>> you know, reputation enhancement is no

37:24

longer really necessary because, you

37:26

know, betting markets are starting to

37:28

take that function in a much more easy

37:31

and frictionless way. So, I think that

37:34

maybe, you know, I mean, it will still

37:37

hang on for a while, but the function it

37:40

had

37:41

that's not going to come back, I'm

37:43

afraid. Yeah.

37:45

>> So, contemporary art not just the

37:48

philosophical project of like

37:51

showing society's values and whatever,

37:53

but also a downstream a byproduct of tax

37:57

evasion.

37:58

>> Yes.

37:58

>> Nobody pays taxes anymore, so they don't

38:00

need the art. But also the betting

38:02

markets just like gave them a better

38:04

thing easier thing to speculate on.

38:07

>> I see.

38:07

>> Do we still have prestige?

38:09

>> Uh

38:10

maybe.

38:11

>> [laughter]

38:12

>> Hopefully. Just now.

38:14

But it's probably too optimistic.

38:17

>> That's the last of our offerings.

38:19

>> [laughter]

38:20

>> Is the sorry.

38:23

Is the European art world

38:25

>> Mhm.

38:26

>> in a similar state of everything I hear

38:29

from people in the US is that there's

38:30

like a K-shaped economy for these

38:32

financial assets where there's basically

38:35

a dozen painters who are now making

38:37

millions and millions of dollars

38:38

everybody else is just getting squeezed

38:40

for like the tiniest project budgets

38:42

that are increasingly smaller and

38:44

smaller.

38:44

>> Yeah.

38:45

>> Is that a similar thing in the European

38:46

art world?

38:47

>> there I mean the the downside is the

38:49

same but there is no upside.

38:52

>> [laughter]

38:53

>> Those 12 painters do not exist

38:56

or they have less.

38:58

>> No, [laughter] it's not even the

38:59

K-shape.

38:59

>> Okay, okay.

39:00

>> Yeah.

39:02

>> The institutional budgets though in

39:04

terms of

39:05

you know, it's always like a small

39:07

honorarium or something like that but

39:08

there's like belt-tightening measures

39:11

for all of this stuff as well, right?

39:13

>> Yes, there's austerity everywhere. I

39:16

mean in some countries it already

39:18

happened a decade ago. Let's say the UK

39:21

or the Netherlands but now everyone else

39:23

is falling suit except the French.

39:27

>> Mhm.

39:27

>> Um but otherwise

39:29

>> Why not?

39:30

>> Well, I guess austerity and basically

39:32

everyone is already

39:35

um

39:36

preparing for the onset of fascist

39:38

full-fledged fascism and the first step

39:41

is austerity, you know, tighten the

39:44

belts.

39:44

>> Yeah, yeah.

39:45

>> Try to get rid of anything that could

39:47

draw attacks.

39:49

>> Mhm.

39:49

>> Um it's this kind of preemptive um

39:54

submission really to the gaze of

39:58

nationalists.

39:59

Yeah.

40:01

>> Yeah, you you mentioned this 10 years

40:03

ago, Mark, and I think around that time

40:05

Portugal just like got rid of its

40:07

Ministry of Culture.

40:08

>> Mhm.

40:09

>> Like which is kind of unimaginable up

40:12

until then but they just they didn't

40:13

like shrink the budgets, they just got

40:15

rid of it entirely.

40:16

>> Yeah, That was the so-called Euro crisis

40:19

at that point in time. There were a few

40:21

countries which had racked up

40:23

a whole lot of debt and were being

40:25

disciplined. Greece, you know, being the

40:28

first the most um

40:32

um dramatic case, but Portugal was also

40:35

one of them. Heavy austerity measures

40:39

and a lot of completely unnecessary

40:41

bureaucracy were implemented by the EU

40:44

in all of those countries, and this is

40:46

how Portugal lost its culture

40:49

ministry.

40:52

>> Did you ever I feel like this is like a

40:54

meme quote that people post on like

40:56

inspirational Instagrams, but uh during

40:59

the war

41:01

Churchill is supposedly uh supposedly

41:03

had said this thing that like when they

41:05

were going to get rid of their arts

41:06

funding, he was like "Well, what are we

41:08

fighting for then?"

41:10

I'm won- I'm wondering what you see this

41:12

right-wing gaze that you mentioned

41:14

before or like Okay, so let's assume

41:17

this drift is clearly happening. There's

41:19

a rise of the nationalist right,

41:20

populist, or whatever you call it. Um

41:23

they are then taking over in Europe all

41:26

of these nationalized museums. Um we see

41:29

some examples of this, but like

41:31

how are they going to interface or

41:33

utilize the infrastructure of

41:35

contemporary art?

41:36

>> Oh, yes. They have a plan. I mean, in

41:38

Germany, they really have a plan for

41:40

that. It's kind of frightening because

41:42

the fascists are prepared, you know, and

41:44

they have people who at least some of

41:47

them are educated and really want know

41:50

how to basically use the institutions

41:53

to implement a national cultural

41:57

nationalization program.

41:58

>> Yeah.

41:59

>> Yeah, they're ready for that. Yeah, take

42:01

over. Meaning

42:03

um

42:04

privileging national interest,

42:07

Germanness, whatever that is, you know,

42:10

in in culture and so on. Yeah.

42:12

>> Yeah, the kind of right-wing Gramsci.

42:15

>> Exactly. Yeah.

42:17

>> Yeah.

42:17

>> But it's really sad because, you know,

42:20

it's sad seeing that they are the ones

42:22

prepared and the other parties,

42:25

especially leftist one, they don't even

42:27

have a real culture program. You know,

42:30

it's just an appendix, you know, for

42:32

Yeah.

42:33

>> Did you You probably heard of this, but

42:36

not a lot of people in the US were made

42:38

aware of this, but at the contemporary

42:40

art museum in Rome, Georgia Meloni

42:45

funded, I don't know, organized this

42:48

massive J.R.R. Tolkien exhibition of

42:50

Lord of the Rings, where there's like

42:52

hobbits in the exhibition.

42:55

>> Yeah, yeah, this was

42:56

>> This sounds This sounds so much more

42:57

awful than like any American immersive

43:00

experience. Like,

43:01

>> [laughter]

43:01

>> give me Give me Museum of Ice Cream any

43:04

day rather than Lord of the Rings.

43:06

>> But you know, I think this is also why

43:08

the Pope quoted Gandalf in his recent

43:11

encyclical.

43:12

>> [laughter]

43:13

>> I think this was a direct reply to that

43:16

show. Yeah.

43:17

>> [laughter]

43:19

>> You know, it's

43:21

I think we're in a really bad political

43:22

spot when the Pope is quoting Gandalf.

43:25

>> That's where we are.

43:27

>> [laughter]

43:28

>> Yeah.

43:29

>> Yeah.

43:29

>> Yeah.

43:30

>> [snorts]

43:33

>> You have a new image generator model.

43:36

>> Yeah.

43:36

>> what what even goes into that kind of

43:38

work to produce one of these models?

43:40

>> Yeah, that's what I was curious about,

43:43

right? I've grown very,

43:45

let's say, bored about generating images

43:48

because the aesthetics are very similar,

43:50

right? But I never knew how to make one

43:54

such model myself. So, that's what I'm

43:58

trying to do now with a colleague at of

44:00

mine who's working with me at university

44:02

in Munich, Falk Mühlenhoff, and we're

44:05

trying to train a diffusion transformer

44:08

model from scratch.

44:10

>> Okay.

44:10

>> Yeah. So, it seemed to be I mean, it is

44:14

still pretty daunting to do it because

44:16

there's so many steps. There's literally

44:19

hundreds of them and many decisions to

44:21

take. But, it seems to be possible now.

44:24

Yeah.

44:25

And the point is that we are training it

44:28

on data which are consensual. So, they

44:30

are not looted from someone.

44:32

>> Okay.

44:33

>> Yeah, it's based on a data set that two

44:35

colleagues of us um

44:37

Mat Dryhurst and Holly Herndon collected

44:40

initially. And then they ran out of

44:42

money to basically train the model. So,

44:45

we were able to take over because we had

44:47

a deal with the day our university data

44:50

center. So, now we're trying to do it.

44:53

This thing is called Lossy.

44:55

>> Okay. That's That's sick cuz I I saw Mat

44:58

and Holly recently and I was like, I

44:59

wanted to follow up with what had

45:01

happened with that project. But, this is

45:03

Have I Been Trained?

45:04

>> They started collecting data around Have

45:07

I Been Trained? And then they continued

45:09

to do it. They wanted to do a

45:12

um project called Public Diffusion. But,

45:15

they had to basically stop it because of

45:17

lack of funding.

45:19

>> Of course.

45:19

>> And yeah, we then realized that

45:21

basically the data they collected, they

45:23

still needed to be supplemented with

45:26

other types of data etc. etc. But, we

45:30

are trying to train the thing. We

45:32

renamed it Lossy because it's all around

45:36

loss and it's also pretty shitty, to be

45:38

honest.

45:39

>> Oh, [laughter] okay.

45:40

>> Well, it's very cute. Yeah. It's um you

45:43

know, clean data. It for me, it reflects

45:46

the state of the public sphere, right?

45:48

Because all these data come from the

45:50

public domain. And the public domain is

45:53

in pretty bad shape.

45:54

>> Yeah.

45:54

>> And if you try to render any sort of

45:57

person or creature with this model, you

45:59

will immediately see that this person

46:01

has very bad health care,

46:03

needs to go to the dentist, you know,

46:06

sort of broken up face. So, that's what

46:09

we're trying to do. It's basically a

46:10

sort of forensical analysis of the

46:13

public sphere. And it's fascinating to

46:16

go through all these steps because you

46:18

can see that

46:19

it's all aesthetic decisions

46:21

>> Yeah.

46:22

>> from one step to the next. It's

46:23

basically artistic labor. It's just that

46:26

I think that most engineers don't really

46:29

see it as artistic labor.

46:31

>> Mhm.

46:31

>> They just see it as scale maxing,

46:34

>> Yeah.

46:34

>> which is also a way to do it. But if you

46:37

are not trying to necessarily max scale,

46:40

then you see that you can save a lot of

46:43

energy, you can basically minimize data,

46:46

etc., etc. So, you can really work with

46:49

scarcity as an aesthetic medium in

46:51

training this model.

46:54

>> So, the word public in the sense

46:57

>> Yeah.

46:57

>> Uh public is always a very loaded word.

46:59

>> Uh-huh.

47:00

>> Because it's, well, do we mean an

47:02

audience for a magazine? Do we mean a

47:04

nation-state?

47:06

>> Yeah.

47:06

>> In this case, the data you're working

47:08

with, and correct me if I'm wrong,

47:09

>> Yeah.

47:10

>> but it is international. Anyone from,

47:13

you know, say London or Tokyo or

47:14

wherever can can opt into it.

47:16

>> Yeah.

47:17

>> And so, you're having to kind of

47:18

troubleshoot in real time that these

47:20

private versions are uh springing up out

47:22

of the ground and producing all of these

47:24

images and working on data that is uh

47:26

you know, has not been consensually

47:28

given to them. They've just scraped all

47:29

of it from web 2.

47:31

>> But then uh in real time, it's like,

47:33

well, what is the legal structure at

47:34

which artists could even license their

47:36

work and to whom? Because they're all

47:37

coming from different sovereignties and

47:39

these are very complicated questions.

47:40

>> Yeah.

47:41

>> So, the easiest solution for that

47:43

is just artists making a database where

47:46

people voluntarily give their images and

47:48

text.

47:48

>> Yeah.

47:49

>> And um you've got all the permissions

47:50

right there. So,

47:52

this is also a kind of political

47:53

question. What is the public that you

47:55

hope to serve with this technology.

47:57

>> Yeah, and that's a good question. I

47:59

think this probably

48:00

calling it into being, right? The public

48:03

this public doesn't really exist yet.

48:05

There is no international public sphere.

48:08

I mean there has never been and

48:09

certainly now there isn't any any such

48:12

thing, right? But it is a public that

48:16

would be served by a different kind of

48:18

digital infrastructure and I think by

48:20

starting to create it you try to call

48:23

that public into being. You know, you

48:25

summon it. You conjure it up.

48:27

>> Yeah, it's not just theoretical. You

48:29

instantiate it through the project.

48:30

>> Well, we try. Let's say.

48:32

>> We try.

48:32

>> Yeah, but I think you know, people have

48:35

to start doing it otherwise it's not

48:37

going to happen.

48:38

>> Yeah.

48:40

Is the rise of AI correlated with the

48:42

rise of the far right?

48:43

>> Oh, yes. Definitely. I mean correlated,

48:45

yes. There is a definite correlation.

48:48

Uh whether it's a causation or not, I

48:51

think partly yes and partly we don't

48:54

really know yet. There's not enough data

48:56

and also things are very unstable,

48:58

right? So that could change again, I

49:01

guess.

49:02

>> Yeah.

49:02

>> But the correlation is there, most

49:04

definitely. Yeah.

49:06

>> Why do they seem to like AI so much?

49:10

>> That's a good question. I mean, you

49:12

know, for basically

49:14

tech oligarchs, that's not uh

49:18

that's not a difficult question to

49:20

answer because it serves their

49:21

interests, right? It's a chip. It

49:24

automates labor. It gets It tries to get

49:28

rid of the need for migration, for

49:31

example, which is also very important

49:33

factor for them.

49:35

And uh basically it automates also

49:37

propaganda. With one prompt you can

49:40

create as much propaganda as [laughter]

49:42

you want.

49:43

Yeah.

49:45

>> Two things that I want to tease out

49:46

here. So

49:48

right-wing populism is in some ways at

49:51

odds with the tech oligarchs

49:54

because they are the ones who are

49:55

siphoning the wealth out of the

49:58

populace.

49:58

>> Yeah.

49:59

>> That's why they're downwardly mobile

50:00

because it's all concentrated at the

50:01

top.

50:02

>> Yeah.

50:03

>> And they're anti-migration.

50:06

They don't want people who don't look

50:07

like them coming into the country, but

50:09

the solution AI provides is automation

50:11

which also penalizes the laborers within

50:15

the nation

50:16

because their jobs go away cuz they get

50:17

done by machines.

50:20

>> So why do they like this [ __ ] so much?

50:22

>> I don't know. It's a really [laughter]

50:23

complicated complicated situation,

50:26

right? I mean you can you see basically

50:29

the tech oligarchs promoting

50:33

merch that, you know, deals with the

50:38

dignity of the blue-collar working class

50:41

as Palantir recently released this chore

50:45

coat, I think.

50:47

>> [laughter]

50:48

>> Which is so much

50:49

>> I was too slow, but like I mean that has

50:51

to go into a museum somewhere. That is

50:53

crazy.

50:54

>> Yeah, it is. But anyway, I mean they

50:56

pretend to really love working-class

50:58

people and to some extent they also

51:01

promised that, you know, they will try

51:04

to automate educated liberal middle

51:07

classes first, you know. So basically

51:09

it's a very messy situation in which

51:13

labor also

51:15

blue-collar labor is being automated,

51:17

but the ideology is different, right?

51:20

>> Correct me if I'm wrong about this, but

51:21

the chore coat has been popular with

51:24

European communists for a long time.

51:26

It's usually a blue jacket. It's

51:28

literally where blue collar comes from

51:30

if I'm not mistaken. So Palantir doing a

51:32

merch drop is just incredibly ironic.

51:35

>> traditional artist's uniform, you know,

51:38

French painters, impressionists. They

51:40

all wore this blue

51:43

chore coat.

51:44

>> I've heard you talk about generative

51:46

arts

51:48

and degenerate art.

51:49

>> Mhm. Yeah.

51:50

>> What is the connection you see there?

51:53

>> Well, it's a question actually. Is there

51:55

a kind of connection and what kind of

51:57

connection is there? You see, I'm

51:59

teaching in Munich now and Munich was

52:02

basically Munich Academy, which is now

52:05

my home academy, is the place where the

52:08

term degenerate art was invented. So, I

52:11

think I thought I should deal with it

52:13

and ask myself in relation to AI slop,

52:18

um

52:19

is there any way we can apply the term

52:22

degenerative art?

52:25

To what can we apply it? Is it to slop

52:28

or to the contrary to the art forms that

52:30

are supposed to be automated by slop?

52:33

What is degenerative art in this period?

52:37

And how can we connect it maybe with

52:39

cultural wars, you know, taking place at

52:42

the same time?

52:44

So, where are the where are the fronts,

52:46

you know, in this battlefield and how

52:48

are they moving?

52:50

>> And just for that historical citation

52:52

for viewers who might not be familiar

52:54

with this, the term degenerate art comes

52:56

from literally the Nazis and their

53:00

censorship regime.

53:01

>> Absolutely. It was a big exhibition, I

53:04

think in 1936,

53:07

um at the Munich House of Art, Haus der

53:11

Kunst, where a lot of art pieces were

53:15

assembled that the Nazis considered

53:17

inappropriate or in their word,

53:20

uh degenerate. Yes.

53:22

>> Yeah.

53:23

Yeah.

53:26

I'm curious and I know we're getting

53:28

close to time here, but like

53:30

uh

53:32

some of these grand scope century-long

53:34

economic models are like

53:37

neoliberalism basically just extracted

53:39

all of the wealth of the infrastructure

53:41

investments of the New Deal.

53:42

>> Mhm.

53:43

>> And then you had 50 years of this and

53:44

then you had 50 years of that.

53:45

>> Yeah.

53:46

>> But the well is dry. Like there's no

53:48

more wealth here. And there's even

53:50

calculations where if you like adjust

53:52

for their value over the course of these

53:53

decades, like everything that was in the

53:55

private sector, like the value of we're

53:58

talking about like the interstate

54:00

highways and things like that. Like that

54:01

amount of value has just moved from the

54:03

public sector to the private sector

54:05

almost in like a one-to-one ratio.

54:06

>> Mhm.

54:07

>> So to

54:09

create a profitable capitalist economy

54:12

>> New deal

54:13

>> requires

54:14

>> New deal kind of thing.

54:15

>> Right.

54:16

>> Yeah, yeah.

54:16

>> But so the way that this New Deal seems

54:18

to be happening now is like they're

54:20

going to just I don't know, just blow it

54:21

all on [ __ ] AI [ __ ] Like we're

54:24

we're going to spend the money, but what

54:26

we spend it on is really up for debate.

54:28

And it's probably like space military

54:30

and [ __ ] I don't know, we'll give

54:32

half of it to Israel. Who knows? It's

54:34

just like they're carving it up for

54:34

anything other than jobs.

54:36

>> Yeah.

54:36

>> Yeah. So it's um I don't I don't do you

54:39

have a similar kind of understanding of

54:40

these like

54:41

cyclical investment and then looting

54:44

models?

54:44

>> mean that's you know, Soviet

54:46

infrastructure is still powering,

54:48

[laughter] you know, Bitcoin mining.

54:49

That's yeah, still being extracted from,

54:52

but it was more durable.

54:53

>> Yeah, yeah.

54:54

>> It seems.

54:55

>> That'll be that'll be the great irony

54:57

where

54:58

in like the mid 20th century

55:01

Americans [laughter]

55:03

will flee to kind of subsist off of

55:06

degrading Soviet infrastructure

55:08

to mine Bitcoin.

55:10

>> [laughter]

55:10

>> Outdated

55:12

Nvidia GPUs, you know, A100 and whatnot.

55:16

>> Yeah.

55:16

>> Yeah.

55:17

>> Wow. Um

55:18

>> [snorts]

55:19

>> You know, I have to say on the record

55:21

this has been well, one, so much fun to

55:23

chat with you about these topics. I so

55:25

rarely get to explore these themes. But

55:26

also, I have tremendous admiration for

55:29

your work from when I was a student, an

55:31

emerging artist, and today as well. So

55:34

thank you so much for coming on the

55:36

podcast.

55:36

>> for having me. It was a real pleasure

55:39

and likewise, you know, I think you're

55:41

doing a really great job here.

55:44

>> Thank you so much.

55:46

To watch part two of this episode, you

55:48

can support the show on Patreon.

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