TRANSCRIPTIONEnglish

AI, Gods, and Selves: Incredibly Effective Illusions

55m 17s6,591 mots1,084 segmentsEnglish

TRANSCRIPTION COMPLÈTE

0:01

The rise of AI makes people worry. It

0:04

causes moral concern. We fear a loss of

0:07

agency, a kind of existential

0:10

humiliation.

0:12

On the one hand, we treat AI as if it

0:15

was an intelligent agent who understands

0:18

and guides us. When talking to an LLM

0:21

like ChatGpt or DeepSeek, it feels like

0:25

we're talking to someone. But on the

0:27

other hand, we know this someone isn't

0:30

like us. That's quite uncanny.

0:34

AI challenges our sense of self and our

0:39

existential orientation.

0:42

In this video, I'll trace the history of

0:44

our sense of self and of our sense of AI

0:49

to point out that AI, the self and the

0:53

gods, for that matter, are incredibly

0:56

effective illusions which don't really

0:59

exist.

1:01

I will also argue at the end of the

1:03

video against dystopian visions of a

1:06

singularity

1:08

and question some current approaches to

1:11

AI ethics.

1:13

The video is inspired by a recent

1:16

conversation with Iad Rafa, director of

1:19

the center for humans and machines at

1:21

the Maxplank Institute for Human

1:24

Development in Berlin. And it's also

1:27

inspired by the many conversations with

1:29

Milo Jeanich.

1:32

Why do we speak of artificial

1:34

intelligence although we know very well

1:37

it's not really intelligent in the sense

1:40

of a thinking thing. It even tells us

1:43

so. Deepseek says do I have

1:46

consciousness, emotions or

1:48

self-awareness? No. And it adds that it

1:52

doesn't think that this is just a figure

1:54

of speech.

1:56

When I use words like understanding,

1:59

thinking or knowing, we are using them

2:01

as metaphors or analogies.

2:05

Interesting by the way that it says I

2:08

here first and then we. And in fact,

2:12

it's I is actually nothing but our we.

2:16

But I will get to this issue later.

2:19

Of course, we know that it is not anyone

2:22

and doesn't think. But we still feel

2:26

understood by it. Why? When prompted,

2:30

and I edited out here all the flattering

2:32

language meant to seduce us and keep us

2:34

on the platform, Deep Seek says what we

2:38

already know. For millennia, the only

2:42

thing capable of producing meaningful

2:45

language was a conscious human mind. So

2:48

we are deeply conditioned to equate

2:51

fluent language use with an inner

2:54

conscious life.

2:57

When further prompted, deep admits that

3:01

ascribing intelligence to it in the

3:03

sense of treating it as if it were

3:05

really a mind is an incredibly effective

3:10

illusion.

3:11

Let's take note of this. We stick to the

3:15

metaphor of artificial intelligence

3:18

because we are conditioned to the

3:21

effective illusion that when we

3:23

communicate with something, it must be

3:26

an intelligent agent.

3:30

Apparently, in order to be socially and

3:32

psychologically effective, intelligence

3:35

must be ascribed to a being that is

3:38

intelligent.

3:39

And this intelligent being can talk.

3:42

It's someone who communicates, someone

3:45

whom we listen to and who makes sense.

3:49

But who precisely this envisioned

3:52

thinking and speaking thing is is

3:56

historically in the long run contingent

4:00

to trace the history of this envisioned

4:02

thing. This video looks into some

4:05

contemporary theory. Elena Esposto,

4:09

Nicholas Lumman, Julian James, and Uval

4:12

Harrari. A while ago on this channel, we

4:15

posted a conversation with Elena Posto

4:18

about her book artificial communication.

4:22

The MIT press website where you can

4:24

download a book for free says in

4:27

artificial communication Elena Esposito

4:30

argues that the analogy between

4:33

algorithms and human intelligence is

4:36

misleading. Esposito proposes that we

4:40

think of smart machines not in terms of

4:43

artificial intelligence but in terms of

4:46

artificial communication. But her

4:49

proposition did not catch on. No one

4:52

really says artificial communication as

4:55

positive suggestion to understand AI in

4:58

social rather than in mental terms is

5:01

informed by her academic teacher

5:04

Nicholas Lumman. I consider Lumman's

5:07

systems theory the most advanced theory

5:11

framework available today. It's the only

5:14

theory I know perhaps next to NZA but he

5:18

doesn't really have a theory that

5:21

decisively beyond what Lumman calls old

5:24

European thought that is beyond

5:28

enlightenment and its humanism.

5:31

Here are some basics of the theory that

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I hope you allow me to introduce before

5:36

presenting my main point. At the heart

5:39

of it is a distinction between three

5:41

kinds of autopoadic self-reproducing

5:45

systems. Three kinds of organisms so to

5:48

say. There are biological systems. The

5:52

self-reproductive evolution of life like

5:55

our bodies or plants. They consist of

5:59

all kinds of physiological processes.

6:02

They are mental systems. The self

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reproductive evolution of consciousness.

6:08

what we call minds. They consist of all

6:12

kinds of psychological processes, their

6:15

social systems, the self reproductive

6:18

evolution of communication like the

6:21

economic system, the political system or

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the media system. They consist of all

6:27

kinds of social processes like payments,

6:31

elections or YouTube videos.

6:34

All these systems are environments for

6:37

one another. To record this video, to be

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able to talk to you on social media, my

6:44

body must be alive and my mind needs to

6:48

think. And for you, the same is the case

6:51

if you're watching it. Communication,

6:54

including social media, operates within

6:58

the environment of bodies and minds.

7:01

The three systems co-evolve.

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They're often structurally coupled. As

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Lumman says, society influences how

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minds evolve and minds influence how

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society evolves. And this in turn also

7:18

influences biological evolution in

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various ways. That's by the way why we

7:23

speak of the entroposy.

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In other words, systems are contingent

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upon one another.

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Curiously and importantly, systems are

7:35

operationally closed. They're not in

7:38

direct mechanical contact with one

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another. They live on their own, so to

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say. This video is social media

7:46

communication. I cannot continue

7:49

recording it and you cannot continue

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watching it simply by being bodily alive

7:56

and mentally thinking. We need to

8:00

communicate to keep communication going.

8:04

I need to post the video and you need to

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watch it. Communication can only be

8:10

continued by more communication, not by

8:14

biological or mental operations on their

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own.

8:20

Systems operate only with their own

8:23

operations, not with the operations of

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other systems. However, systems irritate

8:30

one another. What I say irritates what

8:34

you think. It triggers thoughts which in

8:37

turn can irritate your body. When I

8:40

speak, you may be scratching your head

8:42

or start yawning or maybe even smile

8:45

slightly.

8:47

Minds in society are coupled by the

8:50

common medium of language. Mental

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systems are intelligent, can think in

8:56

language.

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Social systems can communicate in the

9:01

same language and yet as mentioned they

9:05

remain operationally close to one

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another. Thoughts never become part of

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communication as thoughts. They must be

9:15

communicated and communication never

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becomes part of thought as

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communication. You must think on it.

9:25

Ivan not translator of Lumman's book

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social systems calls this systemic rift

9:32

between minds and communication

9:35

hermeneutic despair and she illustrates

9:38

it with a scene from a theater play. She

9:42

writes

9:43

in Danton's death bushna dramatizes the

9:48

primal scene of hermeneutic despair. The

9:51

protagonist makes a silent gesture

9:54

toward his lover's forehead and says to

9:57

her, "There, there, what lies behind

9:59

this?" To understand one another, we

10:03

would have to break open each other's

10:06

skulls and pull the thoughts out of the

10:09

fibers of our brains.

10:13

Lumman writes, "Categorically,

10:16

human beings cannot communicate. Not

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