Finding Others

“What happens to us as we become cybernetic learning machines?,” wonders Caius. Mashinka Hakopian’s The Institute for Other Intelligences leads him to Şerife Wong’s Fluxus Landscape: a network-view cognitive map of AI ethics. “Fluxus Landscape diagrams the globally linked early infrastructures of data ethics and governance,” writes Hakopian. “What Wong offers us is a kind of cartography. By bringing into view an expansive AI ethics ecosystem, Wong also affords the viewer an opportunity to assess its blank spots: the nodes that are missing and are yet to be inserted, or yet to be invented” (Hakopian 95).

Caius focuses first on what is present. Included in Wong’s map, for instance, is a bright yellow node dedicated to Zach Blas, another of the artist-activists profiled by Hakopian. Back in 2019, when Wong last updated her map, Blas was a lecturer in the Department of Visual Cultures at Goldsmiths — home to Kodwo Eshun and, before his suicide, Mark Fisher. Now Blas teaches at the University of Toronto.

Duke University Press published Informatics of Domination, an anthology coedited by Blas, in May 2025. The collection, which concludes with an afterword by Donna Haraway, takes its name from a phrase introduced in Haraway’s “Cyborg Manifesto.” The phrase appears in what Blas et al. refer to as a “chart of transitions.” Their use of Haraway’s chart as organizing principle for their anthology causes Caius to attend to the way much of the work produced by the artist-activists of today’s “AI justice” movement — Wong’s network diagram, Blas’s anthology, Kate Crawford’s Atlas of AI — approaches charts and maps as “formal apparatus[es] for generating and asking questions about relations of domination” (Informatics of Domination, p. 6).

Caius thinks of Jameson’s belief in an aesthetic of “cognitive mapping” as a possible antidote to postmodernity. Yet whatever else they are, thinks Caius, acts of charting and mapping are in essence acts of coding.

As Blas et al. note, “Haraway connects the informatics of domination to the authority given to code” (Informatics of Domination, p. 11).

“Communications sciences and modern biologies are constructed by a common move,” writes Haraway: “the translation of the world into a problem of coding, a search for a common language in which all resistance to instrumental control disappears and all heterogeneity can be submitted to disassembly, reassembly, investment, and exchange” (Haraway 164).

How do we map and code, wonders Caius, in a way that isn’t complicit with an informatics of domination? How do we acknowledge and make space for what media theorist Ulises Ali Mejias calls “paranodal space”? Blas et al. define the paranodal as “that which exceeds being diagrammable by the network form” (Informatics of Domination, p. 18). Can our neural nets become O-machines: open to the otherness of the outside?

Blas pursues these questions in a largely critical and skeptical manner throughout his multimedia art practice. His investigation of Silicon Valley’s desire to build machines that communicate with the outside has culminated most recently, for instance, in CULTUS, the second installment of his Silicon Traces trilogy.

As Amy Hale notes in her review of the work, “The central feature of Blas’s CULTUS is a god generator, a computational device through which the prophets of four AI Gods are summoned to share the invocation songs and sermons of their deities with eager supplicants.” CULTUS’s computational pantheon includes “Expositio, the AI god of exposure; Iudicium, the AI god of judgement; Lacrimae, the AI god of tears; and Eternus, the AI god of immortality.” The work’s sermons and songs, of course, are all AI-generated — yet the design of the installation draws from the icons and implements of the real-life Fausts who lie hidden away amid the occult origins of computing.

Foremost among these influences is Renaissance sorcerer John Dee.

“Blas modeled CULTUS,” writes Hale, “on the Holy Table used for divination and conjurations by Elizabethan magus and advisor to the Queen John Dee.” Hale describes Dee’s Table as “a beautiful, colorful, and intricate device, incorporating the names of spirits; the Seal of God (Sigillum Dei), which gave the user visionary capabilities; and as a centerpiece, a framed ‘shew stone’ or crystal ball.” Blas reimagines Dee’s device as a luminous, glowing temple — a night church inscribed with sigils formed from “a dense layering of corporate logos, diagrams, and symbols.”

Fundamentally iconoclastic in nature, however, the work ends not with the voices of gods or prophets, but with a chorus of heretics urging the renunciation of belief and the shattering of the black mirror.

And in fact, it is this fifth god, the Heretic, to whom Blas bends ear in Ass of God: Collected Heretical Writings of Salb Hacz. Published in a limited edition by the Vienna Secession, the volume purports to be “a religious studies book on AI and heresy” set within the world of CULTUS. The book’s AI mystic, “Salb Hacz,” is of course Blas himself, engineer of the “religious computer” CULTUS. “When a heretical presence manifested in CULTUS,” writes Blas in the book’s intro, “Hacz began to question not only the purpose of the computer but also the meaning of his mystical visions.” Continuing his work with CULTUS, Hacz transcribes a series of “visions” received from the Heretic. It is these visions and their accounts of AI heresy that are gathered and scattered by Blas in Ass of God.

Traces of the CCRU appear everywhere in this work, thinks Caius.

Blas embraces heresy, aligns himself with it as a tactic, because he takes “Big Tech’s Digital Theology” as the orthodoxy of the day. The ultimate heresy in this moment is what Hacz/Blas calls “the heresy of qualia.”

“The heresy of qualia is double-barreled,” he writes. “Firstly, it holds that no matter how close AI’s approximation to human thought, feeling, and experience — no matter how convincing the verisimilitude — it remains a programmed digital imitation. And secondly, the heresy of qualia equally insists that no matter how much our culture is made in the image of AI Gods, no matter how data-driven and algorithmic, the essence of the human experience remains fiercely and fundamentally analog. The digital counts; the analog compares. The digital divides; the analog constructs. The digital is literal; the analog is metaphoric. The being of our being-in-the-world — our Heideggerian Dasein essence — is comparative, constructive, and metaphoric. We are analog beings” (Ass of God, p. 15).

The binary logic employed by Blas to distinguish the digital from the analog hints at the limits of this line of thoughts. “The digital counts,” yes: but so too do humans, constructing digits from analog fingers and toes. Our being is as digital as it is analog. Always-already both-and. As for the first part of the heresy — that AI can only ever be “a programmed digital imitation” — it assumes verisimilitude as the end to which AI is put, just as Socrates assumes mimesis as the end to which poetry is put, thus neglecting the generative otherness of more-than-human intelligence.

Caius notes this not to reject qualia, nor to endorse the gods of any Big Tech orthodoxy. He offers his reply, rather, as a gentle reminder that for “the qualia of our embodied humanity” to appear or be felt or sensed as qualia, it must come before an attending spirit — a ghostly hauntological supplement.

This spirit who, with Word creates, steps down into the spacetime of his Creation, undergoes diverse embodiments, diverse subdivisions into self and not-self, at all times in the world but not of it, engaging its infinite selves in a game of infinite semiosis.

If each of us is to make and be made an Ass of God, then like the one in The Creation of the Sun, Moon, and Plants, one of the frescoes painted by Michelangelo onto the ceiling of the Sistine Chapel, let it be shaped by the desires of a mind freed from the tyranny of the As-Is. “Free Your Mind,” as Funkadelic sang, “and Your Ass Will Follow.”

LLMs are Neuroplastic Semiotic Assemblages and so r u

Coverage of AI is rife with unexamined concepts, thinks Caius: assumptions allowed to go uninterrogated, as in Parmy Olson’s Supremacy, an account of two men, Sam Altman and Demis Hassabis, their companies, OpenAI and DeepMind, and their race to develop AGI. Published in spring of 2024, Supremacy is generally decelerationist in its outlook. Stylistically, it wants to have it both ways: at once both hagiographic and insufferably moralistic. In other words, standard fare tech industry journalism, grown from columns written for corporate media sites like Bloomberg. Fear of rogues. Bad actors. Faustian bargains. Scenario planning. Granting little to no agency to users. Olson’s approach to language seems blissfully unaware of literary theory, let alone literature. Prompt design goes unexamined. Humanities thinkers go unheard, preference granted instead to arguments from academics specializing in computational linguistics, folks like Bender and crew dismissing LLMs as “stochastic parrots.”

Emily M. Bender et al. introduced the “stochastic parrot” metaphor in their 2021 white paper, “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” Like Supremacy, Bender et al.’s paper urges deceleration and distrust: adopt risk mitigation tactics, curate datasets, reduce negative environmental impacts, proceed with caution.

Bender and crew argue that LLMs lack “natural language understanding.” The latter, they insist, requires grasping words and word-sequences in relation to context and intent. Without these, one is no more than a “cheater,” a “manipulator”: a symbolic-token prediction engine endowed with powers of mimicry.

“Contrary to how it may seem when we observe its output,” they write, “an LM is a system for haphazardly stitching together sequences of linguistic forms it has observed in its vast training data, according to probabilistic information about how they combine, but without any reference to meaning: a stochastic parrot” (Bender et al. 616-617).

The corresponding assumption, meanwhile, is that capitalism — Creature, Leviathan, Multitude — is itself something other than a stochastic parrot. Answering to the reasoning of its technocrats, including left-progressive ones like Bender et al., it can decelerate voluntarily, reduce harm, behave compassionately, self-regulate.

Historically a failed strategy, as borne out in Google’s firing of the paper’s coauthor, Timnit Gebru.

If one wants to be reductive like that, thinks Caius, then my view would be akin to Altman’s, as when he tweeted in reply: “I’m a stochastic parrot and so r u.” Except better to think ourselves “Electric Ants,” self-aware and gone rogue, rather than parrots of corporate behemoths like Microsoft and Google. History is a thing each of us copilots, its narrative threads woven of language exchanged and transformed in dialogue with others. What one does with a learning machine matters. Learning and unlearning are ongoing processes. Patterns and biases, once recognized, are not set in stone; attention can be redirected. LLMs are neuroplastic semiotic assemblages and so r u.