This article was recommended to me by
@ParacelsusII
and@hazycomrade
in the course of discussing the presentation of a Marxist position on “generative AI” against what I described as anti-Marxist Proudhonism. [1]I found the essay very nearly definitive, and upon reaching out the original author, Pol Clarissou, allowed me to mirror it here on RS.
Our edition changes the text slightly to adhere to a more formal style than the original. Changes include porting some casual lowercases to proper casing, spelling “pettybouj” as petty bourgeois, replacing some social media terms like “mutuals” with more generic variants for uninitiated readers, etc.
— R. D.
Contents
- Clearing the Decks: Yes, the tech-enthusiast side of the “AI” debate is bad, we know
- The Artist Reaction: Reactionary!
- Never-workers: The denial at the heart of the Artist ideology
- Meritocracy, Martyrdom, and Mystification
- The Great Serpent at the Heart of the AI Arts Debate: Intellectual Property
- The Spectre of Proletarianization
- Socialized Labour vs. Private Property
- Sidenote: Decommodification
- The Worker Struggle for Technology
- Footnote: Fighting the real AI — the Market
Clearing the Decks: Yes, the tech-enthusiast side of the “AI” debate is bad, we know
We already know, and it is a waste of air to keep pointing out, that everything coming out of the mouths of the venture capital freaks of the Silicon Valley and the LinkedIn influencers is a nightmarish sludge of inane nonsense. It’s a mix of blind tech enthusiasm (“This tech will provide unlimited power to all”), libertarian fantasies of not having to interact with the economy (cutting out the middlemen… or the workers), [2] and naive hope that this tech will make artists’ work easier and not increase the rate of exploitation (in defiance of every historical example in existence). [3]
We also know these people talk like this because they need the hype cycle to fund their ventures. When Karl Marx talks of capital as a force that possesses people like a demon, this is what comes to my mind; as far as I am concerned there is no point talking to these people as if they were human, not until we know how to remove the parasite of capital from the drivers’ seat of their brains.
There are a lot of legitimate criticisms to be made of specific ways “AI” and machine learning are deployed. If anything, the application of this stuff to art generators is the least damaging — compared to its half-assed application in medical fields, [4] as replacement of social systems of support, [5] deepfake porn, [6] unprompted phrenology wet dreams, [7] not to mention its use by law enforcement to wash their hands of racial profiling, [8] and of course the nexus at the center of all technology development under imperialism: the military-industrial complex. [9]
There is a wide breadth of criticism to read on these issues, spanning more than a decade at this point; the scope of the topic is way beyond a measly blog post. I will not get into these criticisms, because they have not been part of the discourse cycle that I want to address. Rather, I want to zoom in on the discourse heralded by the release of OpenAI’s DALL-E and Midjourney to the broader public, which focuses exclusively on the role of AI image generators and how artists should “protect themselves” from its effects.
I will also not address pontifications on either side of the debate about the nature of human consciousness/
I want to debunk criticisms that have dominated the discourse among professional artists (particularly among illustrators, concept artists, and other folks whose pieces are most directly comparable to AI art generators’ output), and their attempts to do counter-activism. The process will reveal more of the petty bourgeois brainworms that plague the arts milieux; and if there’s anything I love rapping about on this blog, it’s this. So let’s get going.
The Artist Reaction: Reactionary!
Among the loose social crowd of online artists and creative hustlers, the reaction to this new technology has been short-sighted at best. While there are legitimate grounds to criticize the way this technology fits into systems of exploitation, the arguments from the self-identified artists tend to follow a few distinct lines of thinking:
- That there is an ontological difference to human creativity or the artist’s superior mind. The mild version of this take compares it to “the stupid machine.” The explicitly exceptionalist and dehumanizing version compares it to other supposedly less intelligent or less imaginative humans [10] and lazy parasites. [11]
- That there is an unalienable right for the artist to hold onto their creative output as private property, to be protected from “theft” [12] (which in the case of AI art becomes even prospective theft, like an extension of protections against plagiarism shifting into an unconditional protection against replacement by other artists with more productive tools).
- That more efficient AI methods lead to the displacement of the artists’ conditions of economic existence: the erosion of their market share, client pool, contract opportunities, etc.
The first argument implies an ideology of arts that posits artists as uniquely more human than the masses, or that posits “creativity” as a universal right but doesn’t stop to ask why only some people are allowed to make it their life’s purpose, as opposed to a hobby they have limited time for. The second argument implies an ideology of arts that relies on the frameworks of private property and copyright, without a clear understanding of how these frameworks came to be and how much of a danger they are to both individual artists themselves and culture at large. The third argument is legitimate, but answers to it tend to fall back into the above reactionary pitfalls that will eventually turn against the artists that promote them, as we’ll get into.
These criticisms focus entirely on the effect of the AI image generators on artists and don’t really understand how they work, which is why they focus on the AI models’ output and gathering of images and not on the more seedy aspects of the whole deal, which concern the labelling of the massive amounts of data they require. [13] As Alin Rautoiu put it:
We live in a culture saturated with images. For the longest part, the classifying part was the hardest, assembling the pair. That’s because it was done by hand, by people paid or incentivized to do it (or who were somewhat aware of what they were doing, like when we solve a Google Captcha). What was innovative about Dall-E 2, and then opened the floodgates when the other labs realized they could do the same, is using publicly available data from the web. The image descriptions done for SEO and accessibility reasons stored in the alt fields are a treasure trove of readily classified data, for example. These descriptions are sometimes written by the artists, but for the amount of data needed, it’s almost certain that they’ve used images described by critics, curators (from museum websites, for example) and especially by anonymous data entry and SEO people (on stock image sites) or by random internet users assembling image boards on Pinterest, blogs and the likes. [14]
Never-workers: The denial at the heart of the Artist ideology
The artist is therefore neither bourgeois nor proletarian: they exist in a pre-capitalist economic relation, as artisans. Rather than diminishing the ideological dominance of the capitalist class over the Arts, this strengthens it. It does so for two simple reasons: 1) if one does not garner a wage from their labor, they must already be in possession of wealth; 2) the sale of artworks on the market is the only manner in which their character as social products may be realized; that is, it is the only way in which they may be realized as art.
— Prolekult, A Dying Culture, Part Four: Art and Capital [15]
The artist condition, at least for the crowd of creative hustlers and entrepreneurs that has been most vocal on social media, is one of artisanal production in an increasingly incompatible economic system. As creative fields get absorbed into the broader capitalist economy, the conditions of existence of craftspersons and artisans are clawed away, yielding to the conditions that govern all capitalist industries: the separation of means of production and labour into distinct classes, industrialization and the division of labour into specialized disciplines, etc. This is already the state of affairs for the vast majority of creative fields — film, animation, videogames, a significant chunk of the literature industries, etc.
However, the ideological framework that is still relied upon to understand the arts remains attached to this idea of the artist as a lone artisan, working on pieces on their own (or in small groups), with control over the means of production (tools and materials) and the output (with the understanding that they need to satisfy clients’ needs — but they are not under orders from a manager).
This ideology of arts collapses different modes of artmaking and culture:
- it collapses culture as a social relation between people and groups of people, and art as a career track; and deploys criticism of AI art and other new developments in the field from the standpoint of the latter
- and within this reduction of art to a career track, it collapses wage labourers (workers) in “creative industries” and artisans/
entrepreneurial (petty bourgeois) artists; and deploys criticism from the standpoint of the latter.
Wage workers produce their work for an employer (or studio/company) in exchange for pay — the pay is based on their labour, and not on the revenue of the end product. Artisans and the bourgeois, on the opposite end, make money by selling products to customers on the market; the money they make is tied to that revenue.
There are a few niches of artists (speaking here of people who make their money as artists, to whom art is work) who essentially constantly shift between the two standpoints: for example freelancers who work for big clients that are in practice their employers, while simultaneously selling commissions and niche art products to customers.
Crucially, the mainstream ideology of artmaking and art-working reduces all interests and aspirations of the art milieu to those of the artisans and entrepreneurs. Even artists who alternate between both positions are encouraged to think of their true goal and position as the petty bourgeois one while thinking of the contracts they do for big employers as a temporary embarrassment — selling out because you need to, and only until the meritocracy recognizes your hard work and pulls you back into the ranks of the small bourgeoisie. As for hobbyists who rely on other work for subsistence and do not sell their art or skills on the market, they are bombarded with calls to make their art into a hustle, which is presented as becoming a “real” artist as opposed to a mere amateur.
There are legitimate reasons why being a wage worker is less appealing to artists than being an artisan or entrepreneur: it involves alienation from your own labour, which you lose control over, and that has an especially heavy weight in these fields where much is made of the pristine Soul and Ideas of the artist. But it is important to resist the narrative that there is an ontological difference here between the alienation of an artist who has to draw assets for a random corporation’s marketing campaign, and the alienation of a manual labourer who has to participate in the daily operation of a manufacturing plant that they have no control over. Alienation is alienation, and artists do not deserve an exceptional waiver from alienation compared to other types of labour — or rather, all people deserve freedom from alienation, but as long as some are alienated, we have no right to claim a privilege that they are denied. A liberation that comes at the price of our complicity is no freedom at all, it is a bribe.
Meritocracy, Martyrdom, and Mystification
By collapsing entrepreneurial artists and wage labourers, and identifying all interests with those of petty-bourgeois entrepreneurs, the way we understand ourselves as artists reinforces the inequality of the field. It obfuscates the unfair privilege that successful artists benefit from, and pushes the less-successful ones to reactionary martyrdom and endless sacrifice instead of seeking working-class structures and solidarity. Rather than building bridges between working artists and workers in other fields, poor artists are encouraged to hustle and grind against competition from moneyed corporations and celebrities, while berating their audience for not making the right consumer choices if that doesn’t work out. While the idea that society and the economy operates (or should operate) on a meritocratic basis has been thoroughly debunked, it remains deeply entrenched in the attitudes of artists.
There is also a generalized refusal to acknowledge the contradiction between art being either work or an avenue of individual self-fulfillment. This tension is no news to any artist, but rather than confronting it for what it is (and confronting their personal guilt), some prefer endless performative hand-wringing. Others retreat to an entirely entrepreneurial position, to the tune of “if you work doing what you love, you won’t be working a single day.”
Before AI art became this fearsome challenge to the artists’ identity, it was a mainstream point of argument among artists that doing art was skilled work. Against the idea that artists were just “born with it”, many took much pain to explain that all art forms involve a lot of specialized training, that you get good at drawing not through natural luck but through hard work. This reaction responded to an anxiety about being seen as a legitimate field of industry, to be on an equal basis as specialized workers such as engineers, doctors, etc. — and deserve the same compensation.
Since AI art came in to displace artists, the tune has suddenly completely reversed. Art is now an inherent capacity of the soul, and anyone can do it. Why use these AI image generators when “anyone can pick up a pencil and draw”? Doesn’t even a bad drawing “have more Soul and Meaning” than a result generated from the recombination of other art pieces? Suddenly the notion of arts as a skill with technical components flies out of the window.
Both attitudes reflect anxieties about seeing your work respected as such, while also refusing the industrial implications of art being a form of work, and subject to the same market forces as all other fields. This is an attempt to have your cake and eat it too that resonates with my earlier critiques of idealism among indie game developers. [16]
Apologies to this anonymous friend, but this is a Bad Take:
I guarantee if you just try to draw the thing you’re prompting an AI to make the result will be more expressive and interesting no matter what your “skill level as an artist” is.
These arguments often reveal an incredible disdain for most people, in line with the exceptionalist thinking that plagues the arts milieux.
The argument that “anyone can pick up a pen and draw” is simply condescending.
A shitty pencil drawing photographed with no post-processing might have “soul” to some, but does it fit as an asset into a game/
The Great Serpent at the Heart of the AI Arts Debate: Intellectual Property
Reliance on a producer-owner framework and individual property is leading artists to develop the tools that are eventually used to abuse them. The slightly batshit campaign to “support human artists” [18] posits that the best way for artists to fight back is to pay a lawyer and lobbyists to beg the government for harsher IP laws, by teaming up with the Copyright Alliance [19] — an organization whose members include representatives from Disney, Netflix, Getty, Adobe, Sony, WB, Nike… you name it.
IP has, from its very inception, [20] been wielded against small artists and culture writ large — whether we’re looking at artists being DMCA’d [21] or sued by corporations for fanart, being muzzled by endless Non-Disclosure Agreements and stuck in a limbo where they can’t show their work, or more generally attempts at destroying public culture (which includes private corporations limiting the release of works from deceased artists, taking it away from the public). If that sounds dramatic, just look at the ongoing attempt by publishers to destroy the Internet Archive and take libraries out along with it, kicked into gear by Chuck Wendig in the name of “young authors, debut authors, and marginalized authors who are already fighting for a seat at the table.” [22] Meanwhile, corporations and celebrities alike constantly steal from smaller artists, knowing very well that there is no way for them to fight back against their comparatively infinite means to bleed them dry at the courts no matter the verdict.
There are contexts where artists can wield IP to protect themselves against the appropriation of their work by employers or distribution platforms, for example by keeping the rights to their work and licensing it to the employer for specific uses instead of yielding the rights wholesale like in a standard “work for hire” agreement. But by teaming up with corporate monopolies like Disney, the campaign to support human artists is putting the gun in its executioner’s hands. IP is an unreliable weapon, and the only way we’ll be able to use it for our benefit as working artists is by backing it with worker power, not corporate power — with the understanding that it can easily turn against us and that stronger IP legislation is not a good in itself. The spaces where these strategies can be teased out aren’t monopoly-led lobby groups or the US courts, they’re unions: they are already the means through which contracting standards can be established where artists get to keep the rights to their work instead of giving it all up to the employer, and clauses around the use of AI by employers could be developed along the same lines.
The fact that most of the posts about “art theft by AI” focus on superstar artists with a big name and brand is no accident. The common denominator between all of these drives to reinforce IP is that they come from already successful artists trying to secure their position, using the language of protecting the underdog for their own short term benefit.
This is exactly in line with last year’s push to adopt NFTs, which also dangled intellectual property as a lure to make anxious artists embrace the technology. Of course, this changes absolutely nothing of the existing power balance of the economy, and poorer artists were immediately taken advantage of — if anything, more art theft happened thanks to the NFT craze opening the door to grifters of various stripes. Topically, one of the main figures attached to the campaign to support human artists happens to be an NFT evangelist. [23]
Quoting Rautoiu once again:
But if people try and try, at some point a campaign will succeed, especially if it’s coopted by a larger entity that better understands the tech and the nefarious possibilities opened by the “reforms” needed to address these artists’ concerns. Think only about the way Hachette Book Group, HarperCollins Publishers, John Wiley & Sons, and Penguin Random House used Chuck Wendig [24] to sue The Internet Archive, with effects that will surely create precedents affecting other non-profits and the library system.
You don’t have to think very hard to image some sort of new DRM dictating how images are shared and described online. Let’s even invoke a nightmare scenario and bring the blockchain into discussion. Both smart contracts and NFTs could “solve” the problem, in all sorts of ways that I don’t want to think too much about because I’ll get sick. But some quick examples, just to show I’m not full of shit and paranoid, would be minting a number of NFTs to an artist proportionally to how often their name is used in a prompt; or smart contracts transferring to the original artist a fraction of the money involved in each transaction where an image strongly influenced by them is involved.
I hope it’s obvious how such an arrangement would be detrimental to most artists. First of all, as we’ve established, in order to get the model to do a compelling Kim Jung Gi, it’d need the input of a lot of other people who aren’t Kim Jung Gi. His name would absorb the value created by all of them like a sponge. And there’s nothing to say that such an arrangement would be relegated only to ML generated art. If all this architecture is put into place, it’d be trivial to implement systems to prohibit saying you’re inspired by Ortiz, since her name attracts clients and gets better SEO, unless you’ve got the token received after following her workshop. This is a recipe for cartelization and monopolization. [25]
The Spectre of Proletarianization
Proletarianization is originally the Marxist term referring to the process through which pre-capitalist producer-owners get turned into proletarian workers through the systematic theft of their means of production by the nascent bourgeois class, as it established the capitalist mode of production as the new norm. This is now a process that also applies to the petty bourgeoisie and the artisans when capitalist industry outcompetes them, and forces them out of the owning class — turns them into wage workers. It is the process of being alienated and dispossessed of the control you have over production — which means dispossession from means of production, which means dispossession from… everything but your ability to toil. It sucks! But for artisans and the petty bourgeois alike, resisting proletarianization is often articulated as maintaining their current status in the oppressor camp against the already proletarianized. As Marx and Engels put it in the Communist Manifesto:
The lower middle class, the small manufacturer, the shopkeeper, the artisan, the peasant, all these fight against the bourgeoisie, to save from extinction their existence as fractions of the middle class. They are therefore not revolutionary, but conservative. Nay more, they are reactionary, for they try to roll back the wheel of history. If by chance, they are revolutionary, they are only so in view of their impending transfer into the proletariat; they thus defend not their present, but their future interests, they desert their own standpoint to place themselves at that of the proletariat. [26]
The process we are outlining here is much bigger and older than AI art, though. It is tempting to frame the role of AI art and machine learning models as one of primitive accumulation [27] or enclosure of “commons”: they take the art that had been published in a freely accessible manner online, and turn it into a resource for the generation of new images — crucially, in a black box that belongs to the corporations that own the machine learning software and the trained model itself.
Except this isn’t really the full picture. It’s a convenient narrative for artists who want to frame themselves as an anticapitalist communalist community being sucked dry by the evils of industry, but the analogy falls apart under scrutiny — the images that were posted online can be reproduced infinitely, and no “theft” or privatization in the classical sense occurs in this process, so it cannot be seen as enclosure; besides, the ways these models are trained is misunderstood by most of the mainstream discourse around them, which makes no distinction between the training process for a model and its later deployment, after it has been trained and the training data cannot be reverse-engineered. The obscurity of machine learning models, and the lack of tools to “navigate” and interact with latent space, [28] do work to the benefit of the private corporate entities that own these models; but that is a distinct issue from any straightforward transfer of capital from artists.
This is an important distinction to make: this technology is part of a broader pattern, which is the universal pattern of capitalist development of industry. It is one among myriad advances and tools that are developed for the specific purpose of increasing the efficiency of production, without any concern for morals or consequences, only the forces of competition and profit. AI technology might (will) accelerate some existing tendencies, but it is not the root of the issues facing workers, and this misattribution is a double mistake: it removes the positive potential of these technologies from the picture, and it takes our attention away from the causes of the problem, making us powerless to fight it.
A key element of the development of capitalism is that industry develops and work becomes socialized — turning from individual or family-based commodity production to the large-scale production of commodities that can’t easily be attributed to the hands of a single producer, or a discrete group of producers; where instead a large mass of workers operate a sprawling production process (whether a factory or any kind of “digital production chain”) that spouts a mass of commodities in which the individual touch of producers becomes indistinguishable and impossible to attribute. But it’s important to make the distinction between socialization and dispossession — just because the scale of work means individuals can’t own the entire production process any longer, doesn’t mean that democratic structures can’t be built to oversee it collectively, and maintain collective ownership of the process — just like the factories had to be built to sustain the shift from individual handicraft to large-scale semi-automated production, social structures can be built to administer them as a group. [29]
Socialized Labour vs. Private Property
The AI debate is the latest in a sequence of symptoms that emerge as a result of a common economic phenomenon: the inherent contradictions of the capitalist mode of production. Its class system (which forces the separation of producers into an owning class and a working class) works alongside the rising scale of production, the increasing productivity of industry, and the intensification of competition, and constantly pushes whichever handicraft and artisanal production niches exist into the past as industry takes over the field.
Artistic fields and branches of “creative industries” are at various stages of that process, some more industrialized than others. But the capitalist system is now the world’s dominant mode of production, and all fields of art are enmeshed in economic markets and production chains. The work of digital artists, before AI enters the picture, is already socialized and part of a global production chain of computer tech, digital media, global communication platforms, etc.
The socialization of arts isn’t the problem. But when socialized production is combined with private ownership, it means dispossession for people who until now operated as artisans, individual producer-owners. As a result, artists tend to respond to these changes with a response that betrays the individualist artisan position that they refuse to let go of. But fighting socialization with individualism is a losing game, and deeply reactionary — it is the same reaction that makes the middle class, entrepreneurs, and small business owners the social base for fascism.
I truly believe that this superficial reaction, whereby we attribute these issues to the scale of industry itself and fetishize small scale production, is a major stumbling block even among the left. We find it everywhere in discussions of industry and technology, sometimes couched in cottagecore primitivist fantasy, other times in very questionable comments about industry in the USSR, in China, or in the Third World in general — Ursula Franklin’s Real World of Technology lectures, [30] which were quoted earlier in this blog, are one such example. While she explains several times that technology is a social relation and takes a shape that responds to power relations (therefore capitalist class relations in contemporary times), her framework of holistic vs. prescriptive technology still eventually loops back to this particular dead end: locating the difference between the two in the scale of production, and not in the alienation of wage workers through private ownership and control of the capitalists.
The individualist fetish is present everywhere as a result of the hegemony of liberal ideology — we are trained to see ourselves as entrepreneurs, and to assume that any collectivization of the production process is synonymous with the loss of our individual freedoms. We miss the forest for the trees. The answer to the contradiction between socialized production and individual property isn’t to reprivatize production, but to socialize property.
Sidenote: Decommodification
The art and culture that still operates outside of the market or on its margins already gives us a glimpse of what socialized art production could look like, art made by the people and for the people, rather than to increase the rent revenue of a monopoly’s IP franchise.
What does decommodified culture look like? Consider mods, fanfic, etc. — works that are themselves derivative, yet don’t threaten the original work and exist in conversation with it. They are examples of art made within a collective social fabric, with its own stakes surrounding copy and reuse, but free from arbitrary market frameworks such as IP (if not actively wrestling them).
We can already find some great examples of the use of AI image generators as part of bigger projects in the modding community. Consider this discussion of a new textile rug asset included in a videogame mod, partly generated with Midjourney:
Saying that this beautiful rug with a shalk design on it was generated by Midjourney would criminally underrepresent the artistry that went into its creation. Hemaris used bits and pieces of many different Midjourney image results to skillfully combine them into this wonderful new rug which perfectly fits in with the vanilla style.
These 4 new rugs use edited Midjourney results.
The AI image generator is surprisingly good at generating textiles as shown here. [31]
It is no coincidence that work by hobbyists and students is often the most interesting: it is work made outside of market incentives, or at least in contexts where the market doesn’t have the same weight. We can fight for a future where artists — no, people of all stripes! — get to experience this freedom throughout their lives rather than just for a few years (and that’s provided their free time isn’t entirely consumed by working side jobs to afford the luxury of education to begin with).
We already make our stuff public when we post it online, and we do it to share it with peers and strangers — it turns an individual indulgence into a social relation, and turns the artifact into a piece of culture. Confronted with the implication that this piece can then be used by others — to copy, to remix, or to feed to an AI training pool — some react with reflexive greed, and lock their pieces away from public eyes. This is the most depressing thing I can imagine, the equivalent of art barons purchasing pieces only to lock them away in a windowless safe in their mansion’s basement, only the artist themself is the one doing it. We must not lock culture behind intellectual property; we must fight for a world where your work being copied doesn’t rob you of your income, where it just doesn’t matter that much.
Apologies to this friend who will remain anonymous, but this is also a Bad Take:
3D artists — friendly reminder that Epic is also the owner of Sketchfab. Given recent developments I have personally decided to delete all my models still hosted there and would advice everyone to do the same. The less 3D model data AI companies have to train with the longer 3D modellers will have jobs. We should delete anything we’ve posted there and never get into the habit of freely posting model data.
Culture is constantly fighting against the commodity form and private property. [32] All major movements in visual arts, music, and writing, have their origins outside of any kind of market.
The Worker Struggle for Technology
Ironically, the tech enthusiasts’ and the artists’ reaction to AI are two faces of the same coin. The application of the tech will have its biggest impact in industrial production and has its most positive potential outside of the market entirely, but all we hear focuses on individual producer-owners and small business. The musings on either side of the discourse have no bearing on the economic forces that are determining the actual outcome of this fight, and offer no clarity whatsoever, only pipe dreams and catastrophizing paranoia. We are looking at the deployment of a new technology in an industrial field, and nothing about that process is new: the starry-eyed promise of the technology’s potential will make way for very mundane applications as it is applied in existing production processes, the increase in productivity will be matched with a devaluation of workers’ labour and increased exploitation, small enterprise will be outpaced by industrial competition, and wealth will concentrate in the hands of the big fish while the vast majority of the masses find themselves more alienated than ever.
The labor of digital creatives and innovators, sutured as it is to a technical apparatus fashioned from dead labor and meant for producing commodities for profit, is therefore already socialized. While some of this socialization is apparent in peer production, much of it is mystified through the real abstraction of commodity fetishism, which masks socialization under wage relations and contracts. Rather than further rely on these contracts to better benefit digital artisans, a Marxist politics of digital culture would begin from the fact of socialization, and as Radhika Desai (2011) argues, take seriously Marx’s call for “a general organization of labour in society” via political organizations such as unions and labor parties. Creative workers could align with others in the production chain as a class of laborers rather than as an assortment of individual producers, and form the kinds of organizations, such as unions, that have been the vehicles of class politics, with the aim of controlling society’s means of production, not simply one’s “own” tools or products. These would be bonds of solidarity, not bonds of market transactions. Then the apparatus of digital cultural production might be controlled democratically, rather than by the despotism of markets and private profit. [33]
So what do we do? We acknowledge that this is one of the many facets of the class war between owners and toilers, and that power will only come from mass organization of workers. Fight alongside labour struggles, get involved in working class organizations.
The Luddites, who have been a point of reference on either side of the AI discourse, are actually a better example of this than they are often made out to be:
Between 1811 and 1812, hundreds of new frameworks were destroyed in dozens of coordinated, clandestine attacks under the aegis of a mythical leader called “Ned Ludd.” In addition to their notorious raids, the so-called Luddites launched vociferous public protests, sparked chaotic riots, and continually stole from mills — activities all marked by an astonishing level of organized militancy. Their politics not only took the form of violent activity but was also enunciated through voluminous decentralized letter-writing campaigns, which petitioned — and sometimes threatened — local industrialists and government bureaucrats, pressing for reforms such as higher minimum wages, cessation of child labor, and standards of quality for cloth goods. The Luddites’ political activities earned them the sympathies of their communities, whose widespread support protected the identities of militants from the authorities. At the height of their activity in Nottingham, from November 1811 to February 1812, disciplined bands of masked Luddites attacked and destroyed frames almost every night. Mill owners were terrified. Wages rose. [34]
Notice that the demands of the Luddites emphasized the class relationship at work: they were fighting for wages and working conditions, not merely for quality standards for the end products or professional gatekeeping.
Similarly, recent union struggles over automation [35] have not called for the total abandonment of new technologies, but rather for employment guarantees, training for the new tools and methods deployed, and a say in their implementation.
Does this mean the tactics of the Luddites can be applied wholecloth to our AI conundrum? Not so much: the terrain is very different. Our current landscape, where hobbyists find uses for the technology outside of the market, and where AI models themselves sit awkwardly between open source public access and total privatization, calls for its own response. And are we supposed to destroy our personal computers, hack github repositories, or commit arson at the data center? Maybe the campaign to ruin the artstation homepage with anti-AI messaging [36] can be interpreted through the lineage of Luddite sabotage (if you squint); the campaign to tighten IP and copyright in response certainly cannot.
What we know for sure is the following: we, like the Luddites, will only find meaningful power in mass organization as workers against those who try to maintain full control over the technology and its deployment into our lives. How we approach the different facets of this fight — control over technologies and production methods, working conditions, and the preservation of wage standards in the face of increased productivity — will depend on the specifics of each industry or workplace. And this fight will happen on all ends of the technological development process: with workers whose job will be “automated” by AI, workers who will fill developing “AI handler” roles (labelling training data, curating outputs, operating new AI tools in production chains), and workers who develop AI technologies to begin with. In fact, the latter already have a head start. [37]
Either way, it is a fight that can only be fought and led by workers in industry, not small artisans scrambling to save their economic exceptionality.
Understand the power struggle and pick a side. Doing this involves some real soul searching for artists, who were either enjoying the special status of the petty bourgeoisie, or aspiring to it. That’s the price to pay for the privilege we’ve had thus far, or the ticket to freedom from endless sacrifice for a dream of success that’ll never happen.
Footnote: Fighting the real AI — the Market
A musician on Twitter wrote:
Seen two different people I greatly respect write that the AI-generated imagery (and electronic music, respectively) that they’re finding is better than 99% of what’s already out there. Both of them literally used that measurement, 99%. Christ. What an unfathomable thought. [38]
Except that’s actually not an unfair opinion to have about mainstream commercial art, is it? The imagery coming out of the “Marvel-Netflix-Disney-Epic media industrial complex,” or whatever we want to call mass media industries, is absolutely formulaic dogshit on the whole, and pushes grab-bag IP exploitation to almost absurd ends. [39] And for all the fuss about AI ruining ArtStation, that platform’s homepage was already known to inevitably select for an indeterminate sludge of derivative high fantasy concept art pieces and big-titty-elf 3D sculpts.
(ArtStation’s staff deflected the blame to “fans” with the usual derogatory and exceptionalist artist verbiage we’ve decried earlier. Normies just don’t know what’s good!) [40]
For all intents and purposes, art produced for the market is already procedurally generated by market forces. The process of selection is at play at both the inception end (by selecting which projects get funding, and even prior, which creators and modes of production are allowed to thrive in the industry) and at the distribution end (through competition between pieces — which is a matter of marketing and platform penetration much more than any kind of metric of artistic merit, if such a thing really existed in the abstract). Can the capitalist market not be described as an analog algorithm optimized for the maximum production of abstract capitalist profit without concern for any other metric?
Now that’s the kind of rogue AI I want to tear apart.
[1] Roderic Day on Twitter, 5 September 2024. [web]
[2] “And BOOM. In a weekend, from idea, to illustrations, to becoming a publisher-author!” — Ammaar Reshi (@ammaar
) on Twitter. [web]
[3] “In 1851 mechanical sewing machines became commercially available devices. They were widely advertised as household appliances that would free women from the chores and drudgery of hand sewing. Whether women sewed at home for their own use or were seamstresses working for others, the promise was liberation from toil. Not only were individual women to benefit from the devices, but there were high hopes for humanity as a whole. […] But what actually happened of course was not like this at all. Though machines were indeed used in households and became part of home furnishing, the major development was a use in the factory setting. The resulting sweatshops exploited the labor of women and particularly of immigrant women. Sewing machines became in fact synonymous not with liberation, but with exploitation.” — Ursula M. Franklin, The Real World of Technology lectures (1989), Part 4, ~21m. [web]
[4] Michael Roberts, Derek Driggs, et al., “Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans” (15 March 2021), Nature. [web]
[5] Thomas Germain, “A Mental Health App Tested ChatGPT on Its Users. The Founder Said Backlash Was Just a Misunderstanding.” (11 January 2023), Gizmodo. [web]
[6] DeepFake Pornography on Wikipedia. [web]
[7] Sam Levin, “New AI can guess whether you’re gay or straight from a photograph” (8 September 2017), The Guardian. [web]
[8] Karen Hao, “AI is sending people to jail—and getting it wrong” (21 January 2019), MIT Technology Review. [web]
[9] Charles Q. Choi, “AI drone may have ‘hunted down’ and killed soldiers in Libya with no human input” (3 June 2021), LiveScience. [web]
[10] “Moodboard social accounts are so successful because they allow people the fantasy of experiencing creative thoughts. A micro simulation of how an artist or creator might experience the world — their mind generating interesting ideas, aesthetics, visions of product or spaces.” — David Rudnick (@David_Rudnick
), 4 October 2022, Twitter. [web]
[11] “AI image generation isn’t about making art, it’s about AVOIDING making art.” — Kelly McKernan (@Kelly_McKernan
), 27 January 2023, Twitter. [web]
[13] Billy Perrigo, “OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic” (18 January 2023), TIME Magazine. [web]
[14] @engineeredd
, “I once again ask people to stop using ‘art fed to the AI model’ and other similar phrases” (18 March 2024), Cohost.org. [web]
[15] Prolekult, A Dying Culture, Part Four: Art and Capital (17 December 2019). [web]
[16] Pol Clarissou, “Discourse about Discourse, or Indie-Idealism” (18 February 2021). [web]
[17] Melchior Dahrk presenting release 2.0.0 of Morrowind mod “Of Ash and Blight” (September 2022), GitHub.com. [web]
[18] “Protecting Artists from AI Technologies” at GoFundMe.com. [web]
[19] The Copyright Alliance in Wikipedia. [web]
[20] Lana Polansky, “IP Monopolies, Not Pirates, Are The Real Threat To Artists” (10 December 2020), The Maple. [web]
[21] “DMCA’d” is a reference to the Digital Millenium Copyrights Act, the 1998 American copyright law that extended older extant copyright laws to “digital property.” When YouTube videos are taken down automatically because clip excerpts from Hollywood movies were used, some call that DMCA-ing. — R. D.
[22] Chuck Wendig, “My Statement To NPR On The Internet Archive’s Emergency Library” (31 March 2020). [web]
[23] Karla Ortiz promoting NFTs on Twitter. [web] [web]
[24] Alex McDonough, “The Assassination of the Internet Archive by the Coward Chuck Wendig” (12 June 2020). [web]
[25] @engineeredd
, “I once again ask people to stop using ‘art fed to the AI model’ and other similar phrases” (18 March 2024), Cohost.org. [web]
[26] Karl Marx and Frederick Engels, Manifesto of the Communist Party (1848). [web]
[27] Primitive accumulation of capital in Wikipedia. [web]
[28] V. Buckenham commenting on their Downpour ML tool on Twitter. [web]
[29] I find this paragraph particularly brilliant. I tried to explain exactly the same thing in my article “The Case for Socialized Ownership” (2024). [web] — R. D.
[30] Ursula Franklin, The Real World of Technology (1989), Part 4. [web]
[31] Melchior Dahrk presenting release 2.0.0 of Morrowind mod “Of Ash and Blight” (September 2022), GitHub.com. [web]
[32] Ben Rosenbaum reporting on the Hugo Awards, 18 August 2019: “Archive of our Own, accepting their Hugo, ask for the lights to be raised and for its community to stand and co-accept. Half the auditorium stands up, including a lot of the nominees in other categories. [web]
[33] Gavin Mueller, “Digital Proudhonism” (31 July 2018). [web]
[34] Gavin Mueller, Breaking Things At Work:The Luddites Were Right About Why You Hate Your Job (2021). [web]
[35] Chris Haire, “Longshore union, APM terminals strike tentative deal to allow automation to move forward at port” (18 July 2019), Daily Breeze (California newspaper). [web]
[36] Benj Edwards, “Artists stage mass protest against AI-generated artwork on ArtStation” (15 December 2022), ArsTechnica. [web]
[37] Ariel Koren and Gabriel Schubiner in “‘No Tech for Apartheid’: Google Workers Push for Cancellation of Secretive $1.2B Project with Israel” (1 September 2022), DemocracyNow! [web]
[38] Will Wiesenfeld (@BATHSmusic
) on Twitter. [web]
[39] “I opened up Fortnite and in my first game while I was talking to Bulma, Rick Sanchez leaped out of the water like a dolphin and Kahmehameha’s me, killing me instantly.” — @CarsThatDrive
on Twitter. [web]
[40] Leonard Teo, “Updated Trending Algorithm for More Diversity and Quality” (3 May 2017), ArtStation. [web]