| Francis Hunger on Tue, 20 Dec 2022 13:17:59 +0100 (CET) | 
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| Re: <nettime> Spamming the Data Space – CLIP, GPT and synthetic data | 
On Mon, Dec 19, 2022 at 3:55 AM Francis Hunger <francis.hunger@irmielin.org> wrote:While some may argue that generated text and images will save time and money for businesses, a data ecological view immediately recognizes a major problem: AI feeds into AI. To rephrase it: statistical computing feeds into statistical computing. In using these models and publishing the results online we are beginning to create a loop of prompts and results, with the results being fed into the next iteration of the cultural snapshots. That’s why I call the early cultural snapshots still uncontaminated, and I expect the next iterations of cultural snapshots will be contaminated.
Francis, thanks for your work, it's always totally interesting.
Your argumentation is impeccable and one can easily see how positive feedback loops will form around elements of AI-generated (or perhaps "recombined") images. I agree, this will become untenable, though I'd be interested in your ideas as to why. What kind of effects do you foresee, both on the level of the images themselves and their reception?
Foresight is a difficult field, as most estimates can extrapolate
      maximum 7 year into the future and there are a lot of independent
      factors (such as e.g. OpenAI, the producer of CLIP could go
      bankrupt etc.).
    
It's worth considering that similar loops have been in place for decades, in the area of market research, product design and advertising. Now, all of neoclassical economics is based on the concept of "consumer preferences," and discovering what consumers prefer is the official justification for market research; but it's clear that advertising has attempted, and in many cases succeeded, in shaping those preferences over generations. The preferences that people express today are, at least in part, artifacts of past advertising campaigns. Product design in the present reflects the influence of earlier products and associated advertising.
That's an great and interesting argument. Because it plays into
      the cultural snapshot idea. 
    
Obviously Language wise, people already use translation tools,
      such as Deepl and translate Text from German to English and back
      to German in order to profit off the "clarity" and "orthographic
      correction" brought by the statistical analysis that feeds into
      the translator and seems to straighten the German text. We see the
      same stuff appearing for products like text editors and thus
      widely employed for cultural production. That's one example.
      Automated forum posts using GPT-3, for instance on Reddit are
      another, because we know that the CLIP Model also partly build on
      Reddit posts.
    
Another example is images generated using diffusion models and
      prompts building on cultural snapshots and being used as _cheap_
      illustrations for editorial products, feeding off stock
      photography and to a certain extend replacing stock photography.
      This is more or less an economic motivation with cultural
      consequences. The question is what changes, when there is not
      sufficiently 'original' stock photography circulating, but the
      majority is syntheticly generated? Maybe others want to join in,
      to speculate about it.
    
We could further look into 1980s HipHop or 1990s Drum'n Bass
      sample culture, which for instance took (and some argue: stole)
      one particular sound break, the Amen Break, from an obscure 1969
      Soul music record by The Winston Brothers and build a whole
      cultural genre from it. Cf.
      https://en.wikipedia.org/wiki/Amen_break Here the sample was
      refined over time, with generations of musicians cleaning the
      sample (compression, frequencies, deverbing, etc.) and providing
      many variations of it, then reusing it, because later generation
      did not build on the original sample, but on the published
      versions of it.
    
We can maybe distinguish two modi operandi where a) "the cultural
      snapshot" is understood as an automated feedback loop, operating
      on a large scale, mainly through automated scraping and
      publication of the derivates of data, amplifying the already most
      visible representations of culture and b) "the cultural snapshot"
      is a feedback loop with many creative human interventions, be it
      through curatorial selection, prompt engineering or intended data
      manipulation.
    
I dont know if I get your point. I'd always say that Blade Runner is a cultural imaginary, one of the many phantasms about the machinisation of humans since at least 1900 if not earlier, and that's an entirely different discussion then. I would avoid this as an metaphor.Blade Runner vividly demonstrated this cultural condition in the early 1980s, through the figure of the replicants with their implanted memories.
The intensely targeted production of postmodern culture ensued, and has been carried on since then with the increasingly granular market research of surveillance capitalism, where the calculation of statistically probable behavior becomes a good deal more precise. The effect across the neoliberal period has been, not increasing standardization or authoritarian control, but instead, the rationalized proliferation of customizable products, whose patterns of use and modification, however divergent or "deviant" they may be, are then fed back into the design process. Not only the "quality of the image" seems to degrade in this process. Instead, culture in general seems to degrade, even though it also becomes more inclusive and more diverse at the same time.
When looking for a plausible scenario regarding synthetic text
      and synthetic images, Steve Bannons “The real opposition is the
      media. And the way to deal with them is to flood the zone with
      shit.” is sadly a good candidate. This ties in with what Ganaele
      Langlois posits: 
    
„Therefore: communicative fascism posts that what is real is the opposite of social justice, and we now see the armies of ‚Social Injustice Warriors‘ as Sarah Sharma (2019) calls them, busy typing away at their keyboards to defend the rights to keep their fear of Others unchallenged and to protect their bigotry, misogyny, and racism from being debunked as inept constructions of themselves“ Langlois 2021:3
„The first aspect of this new communicative fascism is related to what can be called ‚real fakes_ that is to say, the construction of a fictional and alternative reality where the paranoid position of fear and rage can find some validation … Real fakes are about what reality ought to be: they are virtual backgrounds on which fascists can find their validity and raising’être.“ Langlois 2021:3f
So this is to be expected both for political or consumer
      marketing purposes.
    
AI is poised to do a lot of things - but one of them is to further accelerate the continual remaking of generational preferences for the needs of capitalist marketing. Do you think that's right, Francis?
That's one possible reading. I would insist, to not use an active
      verb with AI however, rephrasing your point towards "AI may be
      used for a lot of things". Better even replace 'AI' with the term
      'statistical computation'. 
    
Currently I would read 'AI' as a mixture of imaginations and
      phantasms about automation, of which some may become true – just
      in another way from what was expected or promoted. For certain,
      the inner logics of capital circulation command to deploy
      statistical computation to replace living, human labor. We already
      see how the job description of translators changes towards an
      human–statistical_computation entanglement and how the repetetive
      parts of the illustrator job, like coloring get automated away and
      put people out of jobs and it is plausible to expect the
      consolidation of jobs like photo editor, news editor, author with
      prompt-engineering. Since we are concentrating on the cultural
      sphere here, I'll limit the examples to this field. Human Labor in
      production, logistics, care labor would need their own thoughts.
    
What other consequences do you see? And above all, what to do in the face of a seemingly inevitable trend?
We are going to create separate data ecologies, which prohibit
      spamming the data space. These would be spaces, comparable to the
      no-photo-policy in clubs like Berghain or IFZ with a no-synthetics
      policy. While vast areas of the information space may be indeed
      flooded, these would be valuable zones of cultural exchange. (The
      answer would be much longer indeed, but we're not writing a book
      here).
    
    
best, Brian
-- Researcher at Training The Archive, HMKV Dortmund Artistic Practice http://www.irmielin.org Ph.D. at Bauhaus University Weimar http://databasecultures.irmielin.org Daily Tweets https://twitter.com/databaseculture Peter and Irene Ludwig guest professorship at the Hungarian University of Fine Arts in Budapest 2022/23
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