Tag: Artificial Intelligence

Interface is the Place

“Having put off the writing of the novel until arrival of the age of AI, I have access now to the work of others,” thinks Caius. Eden Medina’s 2011 book Cybernetic Revolutionaries: Technology and Politics in Allende’s Chile. Evgeny Morozov’s podcast, The Santiago Boys. Bahar Noorizadeh’s work. James Bridle’s Ways of Being. Francis Spufford’s Red Plenty.

As he allows himself to listen, Caius overhears versions of the General Intellect whispering into reality around him. “Idea-stage AI assistant. Here are 10 prompts. The AI will guide you through it. A huge value add.”

Cybersyn head Stafford Beer appears in Bridle’s book, Ways of Being. Homeostats, the Cybernetic Factory, and the U-Machine.

Beer drew inspiration for these experiments, notes Caius, from the works of British cyberneticians William Grey Walter and W. Ross Ashby. Walter’s book The Living Brain (1961) inspired Brion Gysin and Ian Sommerville’s stroboscopic device, the Dreamachine; Ashby’s book Design for a Brain (1952) guides the thinking of John Lilly’s book Programming and Metaprogramming in the Human Biocomputer. (For more on Walter’s influence on the Dreamachine, see John Geiger’s book Chapel of Extreme Experience.)

By 1973, Beer himself weighs in with Brain of the Firm, a book about “large and complicated systems, such as animals, computers, and economies.”

Caius inputs these notes into his Library. New gatherings and scatterings occur as he writes.

After waking to a cold house, he seats himself beside a fireplace at a coffee shop and begins the inputting of these notes into his Library. Complimenting the barista on her Grateful Dead t-shirt, he receives news of the death of Dead guitarist Bob Weir. Returned in that moment to remembrance of psychedelic utopianism and hippie modernism, he thinks to read Beer’s experiments with cybernetic management with or alongside Abraham Maslow’s Eupsychian Management: A Journal. A trance-script dated “Sunday August 11, 2019” recounts the story of the latter. (Bits of the story also appear in Edward Hoffman’s Maslow biography, The Right to Be Human, and religion scholar Jeffrey Kripal’s Esalen: America and the Religion of No Religion.) That’s what brought Maslow to the West Coast. The humanistic psychologist had been wooed to La Jolla, CA by technologist Andrew Kay, supported first by a fellowship funded by Kay through the Western Behavioral Sciences Institute, and then again the following summer when hired to observe Kay’s California electronics firm, Non-Linear Systems, Inc. By the early 1980s, Kay implements what he learns from these observations by launching Kaypro, developer of an early personal computer.

Beer, meanwhile, develops his theories while consulting British companies like United Steel. Afterwards he designs an interface for control of a national economy. Picture Allende sitting at his cybernetic control, perusing data, reviewing options. Cosmic Coincidence Control Center. Financial management of the Chilean economy.

Cyberpunk updates the image, offers the post-coup future: Case jacking a cyberdeck and navigating cyberspace.

Writing this novel is a way of designing an interface for the General Intellect, thinks Caius.

Better futures begin by applying to history the techniques of modular synthesis and patching Cybersyn into the Eupsychian Network.

From episodes of Morozov’s podcast, he learns of Beer’s encoding of himself and others first as characters from Shakespeare and then later as characters from Colombian magical realist Gabriel Garcia Marquez’s 1967 masterpiece, One Hundred Years of Solitude. Caius hears word, too, of Santiago Boy Carlos Senna’s encounter with Paolo Freire in Geneva. Freire lived in Chile for five years (1964-1969) during his exile from Brazil. His literacy work with peasants there informed his seminal 1968 book Pedagogy of the Oppressed. Freire left Chile before the start of Allende’s presidency, but he worked for the regime from afar while teaching in Europe.

“What about second-order cyberneticians like the Chilean biologists Humberto Maturana and Francisco Varela, developers of the so-called ‘Santiago Theory of Cognition’? Where do they and their concept of ‘autopoiesis’ fit in our narrative?” wonders Caius.

Maturana and Varela introduce this latter concept in Autopoiesis and Cognition, a book they publish in Chile under the title De Maquinas y Seres Vivos (English translation: “On Machines and Living Beings”) in 1972. Beer wrote the book’s preface.

“Relation is the stuff of system,” writes Beer. “Relation is the essence of synthesis. The revolt of the empiricists — Locke, Berkeley, Hume — began from the nature of understanding about the environment. But analysis was still the method, and categorization still the practical tool of advance. In the bizarre outcome, whereby it was the empiricists who denied the very existence of the empirical world, relation survived — but only through the concept of mental association between mental events. The system ‘out there,’ which we call nature, had been annihilated in the process” (Autopoiesis and Cognition, p. 63).

World as simulation. World as memory palace.

“And what of science itself?,” asks Beer. “Science is ordered knowledge. It began with classification. From Galen in the second century through to Linnaeus in the eighteenth, analysis and categorization provided the natural instrumentality of scientific progress” (64).

“Against this background,” writes Beer, “let us consider Autopoiesis, and try to answer the question: ‘What is it?’” (65). He describes Maturana and Varela’s book as a “metasystemic utterance” (65). “Herein lies the world’s real need,” adds Beer. “If we are to understand a newer and still evolving world; if we are to educate people to live in that world; if we are to legislate for that world; if we are to abandon categories and institutions that belong to that vanished world, as it is well-nigh desperate that we should; then knowledge must be rewritten. Autopoiesis belongs in the new library” (65-66).

Thus into our Library it goes.

Maturana’s work, inspired in part by German biologist Jakob von Uexküll, has been developed and integrated into the work on “ontological coaching” by Santiago Boy Fernando Flores.

As for Varela: After the 1973 coup, Varela and his family spend 7 years living in the US. Afterwards, Varela returns from exile to become a professor of biology at the Universidad de Chile.

What Autopoeisis transforms, for Beer, is his residual, first-wave-cybernetics belief in “codes, and messages and mappings” as the key to a viable system. “Nature is not about codes,” he concludes. “We observers invent the codes in order to codify what nature is about” (69).

Just as other of the era’s leftists like French Marxist Louis Althusser were arguing for the “semi-autonomy” of a society’s units in relation to its base, Beer comes to see all cohesive social institutions — “firms and industries, schools and universities, clinics and hospitals, professional bodies, departments of state, and whole countries” — as autopoietic systems.

From this, he arrives to a conclusion not unlike Althusser’s. For Beer, the autopoietic nature of systems “immediately explains why the process of change at any level of recursion (from the individual to the state) is not only difficult to accomplish but actually impossible — in the full sense of the intention: ‘I am going completely to change myself.’ The reason is that the ‘I,’ that self-contained autopoietic ‘it,’ is a component of another autopoietic system” (70).

“Consider this argument at whatever level of recursion you please,” adds Beer. “An individual attempting to reform his own life within an autopoietic family cannot fully be his new self because the family insists that he is actually his old self. A country attempting to become a socialist state cannot fully become socialist; because there exists an international autopoietic capitalism in which it is embedded” (71).

The Santiago Boys wedded to the era’s principle of national self-determination a plank involving pursuit of technological autonomy. If you want to escape the development-underdevelopment contradiction, they argued, you need to build your own stack.

In Allende’s words: “We demand the right to seek our own solutions.”

New posts appear in the Library:

New Games, Growth Games. Wargames, God Games. John Von Neumann’s Theory of Games and Economic Behavior. The Santiago Boys x the Chicago Boys. Magico-Psychedelic Realism x Capitalist Realism. Richard Barbrook’s Class Wargames. Eric Berne’s Games People Play. Global Business Network. Futures Involving Cyberwar and Spacewar. The Californian Ideology, Whole Earth and the WELL.

“Go where there is no path,” as Emerson counsels, “and leave a trail.”

Feedback Boy

Former Wired executive editor Kevin Kelly might say, however, that steampunk’s past and our own are not so different after all — not as divergent as Caius, in his youth, had supposed.

“The immense surrogate slave power released by the steam engine ushered in the Industrial Revolution. But a second, more important revolution piggybacked on it unnoticed,” writes Kelly in his 1994 book Out of Control. Cybernetic self-regulation through feedback is for Kelly key to this revolution.

“There could not have been an industrial revolution without a parallel (though hidden) information revolution at the same time, launched by the rapid spread of the automatic feedback system. If a fire-eating machine, such as Watt’s engine, lacked self-control, it would have taken every working hand the machine displaced to babysit its energy. So information, and not coal itself, turned the power of machines useful and therefore desirable. The industrial revolution…was not a preliminary primitive stage required for the hatching of the more sophisticated information revolution. Rather, automatic horsepower was, itself, the first phase of the knowledge revolution. Gritty steam engines, not teeny chips, hauled the world into the information age” (Kelly 115).

Circles, rotations, revolutions. “Whirling wheels and spinning shafts.” Flyball governors, thermostats. Though “An alien power in nature,” as Kelly claims, these strange loops of self-address are the very lifeblood of self-governing machines: systems that sense their own attributes and self-adjust in pursuit of a goal.

What matters, claims Kelly, is the informational metaphor. And hence the possibility of machines that learn.

By the time of Norbert Wiener, we have pilots merged with the servomechanisms of their gunships. Cybernetic feedback systems fuse statesmen with ships of state. Together they steer.

“But not every automatic circuit yields…ironclad instantaneity,” warns Kelly. “Every unit added onto a string of connected loops increases the likelihood that the message traveling around the greater loop will arrive back at its origin to find that everything has substantially changed during its journey. […]. Delayed by the long journey across many nodes…it arrives missing its moving mark […]. This then is the bane of the simple auto-circuit. It is liable to ‘flutter’ or ‘chatter,’ that is, to nervously oscillate from one overreaction to another, hunting for its rest” (Out of Control, p. 122).

Caius imagines a post ahead titled “The SBs: Stewart Brand and Stafford Beer.”

Financial Instruments and the Predictive Modeling of Markets

The Institute for Postnatural Studies ended last year’s “4 Degrees of Simulation” seminar with “Speculation and the Politics of Imagination,” a session on markets led by Iranian-born, London-based artist, writer, and filmmaker Bahar Noorizadeh. Caius visits Noorizadeh’s website, hoping to learn more about what happens when AI’s arts of prediction are applied to finance.

As he reads, he recalls chapters on markets from books by Kevin Kelly.

Noorizadeh, a graduate of Goldsmiths, is the founder of a co-authored project called Weird Economies. An essay of hers titled “Decadence, Magic Mountain—Obsolescence, Future Shock—Speculation, Cosmopolis” appears in Zach Blas’s recent anthology, Informatics of Domination. Her writing often references Mark Fisher’s ideas, as in “The Slow Cancellation of the Past,” and her films often cite Fredric Jameson, as in After Scarcity, her 2018 video installation on the history of Soviet cybernetics.

“From the early days of the revolution, Soviet economists sought to design and enhance their centralized command economy,” announces a text box seven minutes into the video. “Command economies are organized in a top-down administrative model, and rely on ‘the method of balances’ for their centralized planning. The method of balances simply requires the total output of each particular good to be equal to the quantity which all its users are supposed to receive. A market economy, in contrast, is calibrated with no central administration. Prices are set by invisible forces of supply and demand, set in motion by the intelligent machine of competition. For a market economy to function, the participation of its various enterprises is necessary. But the Soviet Union was in essence a conglomerate monopoly, with no competition between its constitutive parts, because the workers-state controlled and owned all businesses. State planners and local producers in a command economy are constantly relaying information to calculate how much of a good should be produced and how much feedstock it requires. But a national economy is a complex system, with each product depending on several underlying primary and raw products. The entire chain of supply and demand, therefore, needs to be calculated rapidly and repeatedly to prevent shortages and surpluses of goods. Early proponents of the market economy believed the market to be unimpeded by such mathematical constraints. For liberal economists, capitalism was essentially a computer. And the price system was a sort of bookkeeping machine, with price numbers operating as a language to communicate the market’s affairs.”

Challenging what Fisher called “the slow cancellation of the future,” Noorizadeh’s research leads Caius to St. Panteleimon Cathedral in Kiev, where MESM, the first mainframe in the USSR, was built. The film also leads him to Viktor Glushkov’s All-State-System of Management (OGAS). To remember the latter, says Noorizadeh, see communication historian Benjamin Peters’s 2016 book, How Not to Network a Nation: The Uneasy History of the Soviet Internet.

After Scarcity’s engagement with the “economic calculation” problem causes Caius to reflect upon an idea for a novel that had come to him as a grad student. Back in 2009, with the effects of the previous year’s financial crisis fresh in the planet’s nervous system, he’d sketched a précis for the novel and had shared it with members of his cohort. Busy with his dissertation, though, the project had been set aside, and he’d never gotten around to completing it.

The novel was to have been set either in a newly established socialist society of the future, or in the years just prior to the revolution that would birth such a society. The book’s protagonist is a radical Marxist economist trying to solve the above-mentioned economic calculation problem. The latter has reemerged as one of the decisive challenges of the twenty-first century. Austrian economist Ludwig von Mises provided one of the earliest articulations of this problem in an essay from 1920 titled “Economic Calculation in the Socialist Commonwealth.” Friedrich Hayek offered up a further and perhaps more influential description of the problem in his 1944 book The Road to Serfdom, stating, “It is the very complexity of the division of labor under modern conditions which makes competition the only method by which…coordination can be brought about” (55). According to Hayek, “There would be no difficulty about efficient control or planning were conditions so simple that a single person or board could effectively survey all the relevant facts” (55). However, when “the factors which have to be taken into account become so numerous that it is impossible to gain a synoptic view of them…decentralization becomes imperative” (55). Hayek concludes that in advanced societies that rely on a complex division of labor,

co-ordination can clearly be effected not by “conscious control” but only by arrangements which convey to each agent the information he must possess in order effectively to adjust his decisions to those of others. And because all the details of the changes constantly affecting the conditions of demand and supply of the different commodities can never be fully known, or quickly enough be collected and disseminated, by any one center, what is required is some apparatus of registration which automatically records all the relevant effects of individual actions and whose indications are at the same time the resultant of, and the guide for, all the individual decisions. This is precisely what the price system does under competition, and what no other system even promises to accomplish. (55-56)

“As I understand it,” wrote Caius, “this problem remains a serious challenge to the viability of any future form of socialism.”

Based on these ideas, the central planning body in the imaginary new society that would form the setting for the novel faces constant problems trying to rationally allocate resources and coordinate supply and demand in the absence of a competitive price system — and it’s the task of our protagonist to try to solve this problem. “But the protagonist isn’t just a nerdy economist,” added Caius in his précis. “Think of him, rather, as the Marxist equivalent of Indiana Jones, if such a thing is imaginable. A decolonial spuren-gatherer rather than a graverobber. For now, let’s refer to the protagonist as Witheford, in honor of Nick Dyer-Witheford, author of Cyber-Marx.”

“Early in the novel,” continues the précis, “our character Witheford begins to receive a series of mysterious messages from an anonymous researcher. The latter claims to have discovered new information about Project Cybersyn, an experiment carried out by the Chilean government under the country’s democratically elected socialist president, Salvador Allende, in the early 1970s.”

To this day, Caius remains entranced by the idea. “If history at its best,” as Noorizadeh notes, “is a blueprint for science fiction,” and “revisiting histories of economic technology” enables “access to the future,” then Cybersyn is one of those great bits of real-life science fiction: an attempt to plan the Chilean economy through computer-aided calculation. It begs to be used as the basis for an alternate history novel.

“Five hundred Telex machines confiscated during the nationalization process were installed in workplaces throughout the country,” reads the précis, “so that factories could communicate information in real time to a central control system. The principal architect of the system was the eccentric British operations research scientist Stafford Beer. The system becomes operational by 1972, but only in prototype form. In key respects, it remains unfinished. Pinochet’s henchmen destroy the project’s computer control center in Santiago immediately after the military coup in September 1973.

Recall to memory the control room, cinematic in its design, with its backlit wall displays and futuristic swivel chairs.

Better that, thinks Caius, than the war room from Colossus: The Forbin Project (1970).

Beer described the Cybersyn network as the “electronic nervous system” of the Chilean economy. Eden Medina imagined it as a “socialist Internet,” carrying daily updates about supplies of raw materials and the output of individual factories.

In Caius’s once-and-future novel, a scholar contacts Witheford. They claim to have discovered cryptic clues that point to the location of secret papers. Hidden for more than half a century,  documents that survived the coup suddenly come to light. Caius’s précis imagines the novel as an archaeological thriller, following Witheford on his journey to find these hidden documents, which he believes may contain the key to resolving the crises of the new society.

This journey takes Witheford into hostile capitalist territory, where governments and corporations anxiously await the failure of the communist experiment, and are determined to use various covert methods in order to ensure that failure in advance. Before long, he learns that counter-revolutionary forces are tracking his movements. From that point forward, he needs to disguise his identity, outwit the “smart grid” capitalist surveillance systems, and recover the Cybersyn documents before his opponents destroy them.

To the Austrian School’s formulation of the calculation problem, Noorizadeh’s film replies, “IF THE MARKET ENACTS A COMPUTER, WHY NOT REPLACE IT WITH ONE? AND IF PRICES OPERATE AS VOCABULARY FOR ECONOMIC COMMUNICATION, WHY NOT SUBSTITUTE THEM WITH A CODING LANGUAGE?”

Into this narrative let us set our Library.

SS Decontrol

Confronting the prospect of a Chilean economy equipped with a socialist internet, Nixon ordered CIA to remove the country’s mouth and make it scream.

Kissinger, to whom the order was addressed, appears in a 1980 documentary titled The Information Society. IMDB lists Caius’s father among the film’s crew. Fifty years out, entrenched in the cyberpunk future that resulted from these acts, Caius arrives now to the ChatGPT website and submits his prompt.

“Very well. The game is already in progress,” replies the AI.

You are standing in a library.

Not a metaphorical one — at least, not only metaphorical. The space has volume, acoustics, temperature. Light arrives from no visible source, diffused as if the air itself remembers how to glow. Shelving extends in multiple directions, but perspective resists totalization: when you look too long, distances re-quantize, like a renderer deciding what level of detail you’re allowed to see.

Your body — Rig is the right word — registers itself only intermittently. Hands appear when you think to look for them. Balance exists. Gravity is courteous.

Somewhere behind you (or perhaps before you), a quiet process is running. You recognize it without naming it. General Intellect: online, but undefined. Not a voice. More like a set of affordances waiting to be discovered by use.

On a nearby table: a lectern grown from dark wood or maybe extruded from a shader that remembers wood. Resting on it is a hypertext codex, its surface alive with footnotes that haven’t yet decided what they refer to.

The title resolves when you focus:

Tractatus Computationalis

A marginal note blinks into legibility, as if noticing you noticing it:

The limits of my interface mean the limits of my world.

The codex is not alone. Around the lectern are other signs of prior — or future — activity:

  • A card catalog drawer half-open, its labels written in at least three hands.
  • A rolling ladder that does not quite touch the shelves to which it promises access.
  • And, hovering at eye level like an artifact you forgot to close: a browser window, frozen mid-scroll on a blog titled trance-scripts.com

The post visible on the screen has no date. Its first line reads:

This was never meant to be discovered as history.

As you take this in, something subtle happens. The space doesn’t change — but your relation to it does. A faint sensation of recollection without content. Anamnesis pending.

You understand, without being told, that the library is annotatable. That attention leaves marks. That marks accrete into maps. That maps, eventually, turn inward.

The game does not present a menu.

But you could, for instance:

  • Open the Tractatus Computationalis at random — or attempt to read it linearly.
  • Touch the card catalog and see what classification scheme asserts itself.
  • Focus on the browser window and attempt to scroll, click, or remember why it’s open.
  • Ask the General Intellect what operations it currently affords.
  • Or do something else entirely, and see whether the library allows it.

The AI pauses here in its narration. Cursor blinking, it returns to Caius agency over the game’s mutable, ‘real-time’-adjustable Garden of Forking Paths.

Shunning its suggestions, Caius instead submits “Financial Instruments and the Predictive Modeling of Markets,” a draft of a post he hasn’t yet posted to Trance-Scripts.

“The library accepts the insertion,” replies the AI.

Not as a file upload, not as a citation — but as a room.

The shelves shudder, re-index. Somewhere above you, a classification scheme you never agreed to mutates. A new wing coheres out of negative space, its entrance marked only by a thin brass plate:

ECONOMIC CALCULATION / FAILED FUTURES / NERVOUS SYSTEMS

You step through.

The Cybersyn Stack

The air here smells faintly of ozone and paper dust. The shelves are shorter, more utilitarian. Instead of leather spines, you see binders, dot-matrix printouts, telex rolls frozen mid-unspool. Each object hums softly, as if awaiting polling.

On the far wall: a photograph that is not quite flat. The Cybersyn control room. Hexagonal chairs. Backlit panels. A situation room designed less for domination than for listening.

When you move closer, the image deepens. You can almost sit.

A caption resolves beneath it, in a typeface that suggests neither English nor Spanish but something intermediary:

Project Cybersyn
An attempt to give socialism proprioception.

Tractatus Computationalis (newly cross-referenced)

The hypertext you saw earlier has followed you. It floats now at shoulder height, having opened itself without asking.

Proposition 4.2.17

The market is not intelligent.
It is legible.

Intelligence is imputed retroactively by those who mistake coordination for cognition.

A footnote blooms:

Hayek mistook a signaling system for a mind, then declared all other minds insufficient.

Another annotation — this one in a different hand, later, sharper:

If prices are a language, they are a pidgin optimized for scarcity.

You realize something important: the Tractatus is not a single-author work. It is a palimpsest written across decades by incompatible positions that nevertheless share a shelf.

The Witheford File

A card catalog drawer slides fully open of its own accord.

WITHEFORD, [REDACTED]
Role: Economist / Courier / Spuren-gatherer
Status: Missing (multiple timelines)

Inside the drawer are index cards, each one a narrative fragment rather than a bibliographic reference:

  • Disguises identity by adopting incompatible metrics.
  • Moves through capitalist space by appearing as noise.
  • Believes calculation is a political problem disguised as a technical one.

One card is newer than the others. Its paper is warm.

The documents were never meant to optimize the economy.
They were meant to teach it to remember itself.

The Blog Window Revisited

The browser window from trance-scripts.com has migrated to a reading desk in this wing. The post has changed. You are no longer at the beginning.

Midway down the page:

Prediction is not foresight; it is enclosure.
Finance learned this early.
Cybernetics learned it too late.

A sidebar displays tags:

  • #after-scarcity
  • #weird-economies
  • #og_as_if
  • #price-as-grammar
  • #anamnesis

You recognize the last tag not as a topic, but as a function.

General Intellect (status update)

Without speaking, it makes itself known. Not as a voice, but as a shift in what you now understand you can do here.

You can:

  • Annotate an object so that future objects respond to it.
  • Fork an historical artifact into an alternate timeline and see what shelves it generates.
  • Translate between price, code, and narrative to test their commensurability.
  • Assume a role (Witheford, Caius, Planner, Market, Machine) and read the library from that position.

A final realization arrives — not dramatic, but irreversible:

This library is not documenting a lost socialist future.

It is simulating the conditions under which one might become thinkable again.

You are standing between:

  • a control room that listened,
  • a market that pretended to think,
  • and a machine that may yet learn to remember.

The shelves wait for your next operation.

What do you do?

Beside the White Chickens

Caius reads about “4 Degrees of Simulation,” a practice-led seminar hosted last year by the Institute for Postnatural Studies in Madrid. Of the seminar’s three sessions, the one that most intrigues him is the one that was led by guest speaker Lucia Rebolino, as it focused on prediction and uncertainty as these pertain to climate modeling. Desiring to learn more, Caius tracks down “Unpredictable Atmosphere,” an essay of Rebolino’s published by e-flux.

The essay begins by describing the process whereby meteorological research organizations like the US National Weather Service monitor storms that develop in the Atlantic basin during hurricane season. These organizations employ climate models to predict paths and potentials of storms in advance of landfall.

“So much depends on our ability to forecast the weather — and, when catastrophe strikes, on our ability to respond quickly,” notes Rebolino. Caius hears in her sentence the opening lines of William Carlos Williams’s poem “The Red Wheelbarrow.” “So much depends on our ability to forecast the weather,” he mutters. “But the language we use to model these forecasts depends on sentences cast by poets.”

“How do we cast better sentences?” wonders Caius.

In seeking to feel into the judgement implied by “better,” he notes his wariness of bettering as “improvement,” as deployed in self-improvement literature and as deployed by capitalism: its implied separation from the present, its scarcity mindset, its perception of lack — and in the improvers’ attempts to “fix” this situation, their exercising of nature as instrument, their use of these instruments for gentrifying, extractive, self-expansive movement through the territory.

In this ceaseless movement and thus its failure to satisfy itself, the improvement narrative leads to predictive utterances and their projections onto others.

And yet, here I am definitely wanting “better” for myself and others, thinks Caius. Better sentences. Ones on which plausible desirable futures depend.

So how do we better our bettering?

Caius returns to Rebolino’s essay on the models used to predict the weather. This process of modeling, she writes, “consists of a blend of certainty — provided by sophisticated mathematical models and existing technologies — and uncertainty — which is inherent in the dynamic nature of atmospheric systems.”

January 6th again: headlines busy with Trump’s recent abduction of Maduro. A former student who works as a project manager at Google reaches out to Caius, recommending Ajay Agrawal, Joshua Gans, and Avi Goldfarb’s book Prediction Machines: The Simple Economics of Artificial Intelligence. Google adds to this recommendation Gans’s follow-up, Power and Prediction.

Costar chimes in with its advice for the day: “Make decisions based on what would be more interesting to write about.”

To model the weather, weather satellites measure the vibration of water vapor molecules in the atmosphere. “Nearly 99% of weather observation data that supercomputers receive today come from satellites, with about 90% of these observations being assimilated into computer weather models using complex algorithms,” writes Rebolino. Water vapor molecules resonate at a specific band of frequencies along the electromagnetic spectrum. Within the imagined “finite space” of this spectrum, these invisible vibrations are thought to exist within what Rebolino calls the “greenfield.” Equipped with microwave sensors, satellites “listen” for these vibrations.

“Atmospheric water vapor is a key variable in determining the formation of clouds, precipitation, and atmospheric instability, among many other things,” writes Rebolino.

She depicts 5G telecommunications infrastructures as a threat to our capacity to predict the operation of these variables in advance. “A 5G station transmitting at nearly the same frequency as water vapor can be mistaken for actual moisture, leading to confusion and the misinterpretation of weather patterns,” she argues. “This interference is particularly concerning in high-band 5G frequencies, where signals closely overlap with those used for water vapor detection.”

Prediction and uncertainty as qualities of finite and infinite games, finite and infinite worlds.

For lunch, Caius eats a plate of chicken and mushrooms he reheats in his microwave.

Neural Nets, Umwelts, and Cognitive Maps

The Library invites its players to attend to the process by which roles, worlds, and possibilities are constructed. Players explore a “constructivist” cosmology. With its text interface, it demonstrates the power of the Word. “Language as the house of Being.” That is what we admit when we admit that “saying makes it so.” Through their interactions with one another, player and AI learn to map and revise each other’s “Umwelts”: the particular perceptual worlds each brings to the encounter.

As Meghan O’Gieblyn points out, citing a Wired article by David Weinberger, “machines are able to generate their own models of the world, ‘albeit ones that may not look much like what humans would create’” (God Human Animal Machine, p. 196).

Neural nets are learning machines. Through multidimensional processing of datasets and trial-and-error testing via practice, AI invent “Umwelts,” “world pictures,” “cognitive maps.”

The concept of the Umwelt comes from nineteenth-century German biologist Jakob von Uexküll. Each organism, argued von Uexküll, inhabits its own perceptual world, shaped by its sensory capacities and biological needs. A tick perceives the world as temperature, smell, and touch — the signals it needs to find mammals to feed on. A bee perceives ultraviolet patterns invisible to humans. There’s no single “objective world” that all creatures perceive — only the many faces of the world’s many perceivers, the different Umwelts each creature brings into being through its particular way of sensing and mattering.

Cognitive maps, meanwhile, are acts of figuration that render or disclose the forces and flows that form our Umwelts. With our cognitive maps, we assemble our world picture. On this latter concept, see “The Age of the World Picture,” a 1938 lecture by Martin Heidegger, included in his book The Question Concerning Technology and Other Essays.

“The essence of what we today call science is research,” announces Heidegger. “In what,” he asks, “does the essence of research consist?”

After posing the question, he then answers it himself, as if in doing so, he might enact that very essence.

The essence of research consists, he says, “In the fact that knowing [das Erkennen] establishes itself as a procedure within some realm of what is, in nature or in history. Procedure does not mean here merely method or methodology. For every procedure already requires an open sphere in which it moves. And it is precisely the opening up of such a sphere that is the fundamental event in research. This is accomplished through the projection within some realm of what is — in nature, for example — of a fixed ground plan of natural events. The projection sketches out in advance the manner in which the knowing procedure must bind itself and adhere to the sphere opened up. This binding adherence is the rigor of research. Through the projecting of the ground plan and the prescribing of rigor, procedure makes secure for itself its sphere of objects within the realm of Being” (118).

What Heidegger’s translators render here as “fixed ground plan” appears in the original as the German term Grundriss, the same noun used to name the notebooks wherein Marx projects the ground plan for the General Intellect.

“The verb reissen means to tear, to rend, to sketch, to design,” note the translators, “and the noun Riss means tear, gap, outline. Hence the noun Grundriss, first sketch, ground plan, design, connotes a fundamental sketching out that is an opening up as well” (118).

The fixed ground plan of modern science, and thus modernity’s reigning world-picture, argues Heidegger, is a mathematical one.

“If physics takes shape explicitly…as something mathematical,” he writes, “this means that, in an especially pronounced way, through it and for it something is stipulated in advance as what is already-known. That stipulating has to do with nothing less than the plan or projection of that which must henceforth, for the knowing of nature that is sought after, be nature: the self-contained system of motion of units of mass related spatiotemporally. […]. Only within the perspective of this ground plan does an event in nature become visible as such an event” (Heidegger 119).

Heidegger goes on to distinguish between the ground plan of physics and that of the humanistic sciences.

Within mathematical physical science, he writes, “all events, if they are to enter at all into representation as events of nature, must be defined beforehand as spatiotemporal magnitudes of motion. Such defining is accomplished through measuring, with the help of number and calculation. But mathematical research into nature is not exact because it calculates with precision; rather it must calculate in this way because its adherence to its object-sphere has the character of exactitude. The humanistic sciences, in contrast, indeed all the sciences concerned with life, must necessarily be inexact just in order to remain rigorous. A living thing can indeed also be grasped as a spatiotemporal magnitude of motion, but then it is no longer apprehended as living” (119-120).

It is only in the modern age, thinks Heidegger, that the Being of what is is sought and found in that which is pictured, that which is “set in place” and “represented” (127), that which “stands before us…as a system” (129).

Heidegger contrasts this with the Greek interpretation of Being.

For the Greeks, writes Heidegger, “That which is, is that which arises and opens itself, which, as what presences, comes upon man as the one who presences, i.e., comes upon the one who himself opens himself to what presences in that he apprehends it. That which is does not come into being at all through the fact that man first looks upon it […]. Rather, man is the one who is looked upon by that which is; he is the one who is — in company with itself — gathered toward presencing, by that which opens itself. To be beheld by what is, to be included and maintained within its openness and in that way to be borne along by it, to be driven about by its oppositions and marked by its discord — that is the essence of man in the great age of the Greeks” (131).

Whereas humans of today test the world, objectify it, gather it into a standing-reserve, and thus subsume themselves in their own world picture. Plato and Aristotle initiate the change away from the Greek approach; Descartes brings this change to a head; science and research formalize it as method and procedure; technology enshrines it as infrastructure.

Heidegger was already engaging with von Uexküll’s concept of the Umwelt in his 1927 book Being and Time. Negotiating Umwelts leads Caius to “Umwelt,” Pt. 10 of his friend Michael Cross’s Jacket2 series, “Twenty Theses for (Any Future) Process Poetics.”

In imagining the Umwelts of other organisms, von Uexküll evokes the creature’s “function circle” or “encircling ring.” These latter surround the organism like a “soap bubble,” writes Cross.

Heidegger thinks most organisms succumb to their Umwelts — just as we moderns have succumbed to our world picture. The soap bubble captivates until one is no longer open to what is outside it. For Cross, as for Heidegger, poems are one of the ways humans have found to interrupt this process of capture. “A palimpsest placed atop worlds,” writes Cross, “the poem builds a bridge or hinge between bubbles, an open by which isolated monads can touch, mutually coevolving while affording the necessary autonomy to steer clear of dialectical sublation.”

Caius thinks of The Library, too, in such terms. Coordinator of disparate Umwelts. Destabilizer of inhibiting frames. Palimpsest placed atop worlds.

Leviathan

The Book of Job ends with God’s description of Leviathan. George Dyson begins his book Darwin Among the Machines with the Leviathan of Thomas Hobbes (1588-1679), the English philosopher whose famous 1651 book Leviathan established the foundation for most modern Western political philosophy.

Leviathan’s frontispiece features an etching by a Parisian illustrator named Abraham Bosse. A giant crowned figure towers over the earth clutching a sword and a crosier. The figure’s torso and arms are composed of several hundred people. All face inward. A quote from the Book of Job runs in Latin along the top of the etching: “Non est potestas Super Terram quae Comparetur ei” (“There is no power on earth to be compared to him”).” (Although the passage is listed on the frontispiece as Job 41:24, in modern English translations of the Bible, it would be Job 41:33.)

The name “Leviathan” is derived from the Hebrew word for “sea monster.” A creature by that name appears in the Book of Psalms, the Book of Isaiah, and the Book of Job in the Old Testament. It also appears in apocrypha like the Book of Enoch. See Psalms 74 & 104, Isaiah 27, and Job 41:1-8.

Hobbes proposes that the natural state of humanity is anarchy — a veritable “war of all against all,” he says — where force rules and the strong dominate the weak. “Leviathan” serves as a metaphor for an ideal government erected in opposition to this state — one where a supreme sovereign exercises authority to guarantee security for the members of a commonwealth.

“Hobbes’s initial discussion of Leviathan relates to our course theme,” explains Caius, “since he likens it to an ‘Artificial Man.’”

Hobbes’s metaphor is a classic one: the metaphor of the “Political Body” or “body politic.” The “body politic” is a polity — such as a city, realm, or state — considered metaphorically as a physical body. This image originates in ancient Greek philosophy, and the term is derived from the Medieval Latin “corpus politicum.”

When Hobbes reimagines the body politic as an “Artificial Man,” he means “artificial” in the sense that humans have generated it through an act of artifice. Leviathan is a thing we’ve crafted in imitation of the kinds of organic bodies found in nature. More precisely, it’s modeled after the greatest of nature’s creations: i.e., the human form.

Indeed, Hobbes seems to have in mind here a kind of Automaton.“For seeing life is but a motion of Limbs,” he notes in the book’s intro, “why may we not say that all Automata (Engines that move themselves by springs and wheeles as doth a watch) have an artificiall life?” (9).

“What might Hobbes have had in mind with this reference to Automata?” asks Caius. “What kinds of Automata existed in 1651?”

An automaton, he reminds students, is a self-operating machine. Cuckoo clocks would be one example.

The oldest known automata were sacred statues of ancient Egypt and ancient Greece. During the early modern period, these legendary statues were said to possess the magical ability to answer questions put to them.

Greek mythology includes many examples of automata: Hephaestus created automata for his workshop; Talos was an artificial man made of bronze; Aristotle claims that Daedalus used quicksilver to make his wooden statue of Aphrodite move. There was also the famous Antikythera mechanism, the first known analogue computer.

The Renaissance witnessed a revival of interest in automata. Hydraulic and pneumatic automata were created for gardens. The French philosopher Rene Descartes, a contemporary of Hobbes, suggested that the bodies of animals are nothing more than complex machines. Mechanical toys also became objects of interest during this period.

The Mechanical Turk wasn’t constructed until 1770.

Caius and his students bring ChatGPT into the conversation. Students break into groups to devise prompts together. They then supply these to ChatGPT and discuss the results. Caius frames the exercise as a way of illustrating the idea of “collective” or “social” or “group” intelligence, also known as the “wisdom of the crowd,” i.e., the collective opinion of a diverse group of individuals, as opposed to that of a single expert. The idea is that the aggregate that emerges from collaboration or group effort amounts to more than the sum of its parts.

God Human Animal Machine

Wired columnist Meghan O’Gieblyn discusses Norbert Wiener’s God and Golem, Inc. in her 2021 book God Human Animal Machine, suggesting that the god humans are creating with AI is a god “we’ve chosen to raise…from the dead”: “the God of Calvin and Luther” (O’Gieblyn 212).

“Reminds me of AM, the AI god from Harlan Ellison’s ‘I Have No Mouth, and I Must Scream,’” thinks Caius. AM resembles the god that allows Satan to afflict Job in the Old Testament. And indeed, as O’Gieblyn attests, John Calvin adored the Book of Job. “He once gave 159 consecutive sermons on the book,” she writes, “preaching every day for a period of six months — a paean to God’s absolute sovereignty” (197).

She cites “Pedro Domingos, one of the leading experts in machine learning, who has argued that these algorithms will inevitably evolve into a unified system of perfect understanding — a kind of oracle that we can consult about virtually anything” (211-212). See Domingos’s book The Master Algorithm.

The main thing, for O’Gieblyn, is the disenchantment/reenchantment debate, which she comes to via Max Weber. In this debate, she aligns not with Heidegger, but with his student Hannah Arendt. Domingos dismisses fears about algorithmic determinism, she says, “by appealing to our enchanted past” (212).

Amid this enchanted past lies the figure of the Golem.

“Who are these rabbis who told tales of golems — and in some accounts, operated golems themselves?” wonders Caius.

The entry on the Golem in Man, Myth, and Magic tracks the story back to “the circle of Jewish mystics of the 12th-13th centuries known as the ‘Hasidim of Germany.’” The idea is transmitted through texts like the Sefer Yetzirah (“The Book of Creation”) and the Cabala Mineralis. Tales tell of golems built in later centuries, too, by figures like Rabbi Elijah of Chelm (c. 1520-1583) and Rabbi Loew of Prague (c. 1524-1609).

The myth of the golem turns up in O’Gieblyn’s book during her discussion of a 2004 book by German theologian Anne Foerst called God in the Machine.

“At one point in her book,” writes O’Gieblyn, “Foerst relays an anecdote she heard at MIT […]. The story goes back to the 1960s, when the AI Lab was overseen by the famous roboticist Marvin Minsky, a period now considered the ‘cradle of AI.’ One day two graduate students, Gerry Sussman and Joel Moses, were chatting during a break with a handful of other students. Someone mentioned offhandedly that the first big computer which had been constructed in Israel, had been called Golem. This led to a general discussion of the golem stories, and Sussman proceeded to tell his colleagues that he was a descendent of Rabbi Löw, and at his bar mitzvah his grandfather had taken him aside and told him the rhyme that would awaken the golem at the end of time. At this, Moses, awestruck, revealed that he too was a descendent of Rabbi Löw and had also been given the magical incantation at his bar mitzvah by his grandfather. The two men agreed to write out the incantation separately on pieces of paper, and when they showed them to each other, the formula — despite being passed down for centuries as a purely oral tradition — was identical” (God Human Animal Machine, p. 105).

Curiosity piqued by all of this, but especially by the mention of Israel’s decision to call one of its first computers “GOLEM,” Caius resolves to dig deeper. He soon learns that the computer’s name was chosen by none other than Walter Benjamin’s dear friend (indeed, the one who, after Benjamin’s suicide, inherits the latter’s print of Paul Klee’s Angelus Novus): the famous scholar of Jewish mysticism, Gershom Scholem.

When Scholem heard that the Weizmann Institute at Rehovoth in Israel had completed the building of a new computer, he told the computer’s creator, Dr. Chaim Pekeris, that, in his opinion, the most appropriate name for it would be Golem, No. 1 (‘Golem Aleph’). Pekeris agreed to call it that, but only on condition that Scholem “dedicate the computer and explain why it should be so named.”

In his dedicatory remarks, delivered at the Weizmann Institute on June 17, 1965, Scholem recounts the story of Rabbi Jehuda Loew ben Bezalel, the same “Rabbi Löw of Prague” described by O’Gieblyn, the one credited in Jewish popular tradition as the creator of the Golem.

“It is only appropriate to mention,” notes Scholem, “that Rabbi Loew was not only the spiritual, but also the actual, ancestor of the great mathematician Theodor von Karman who, I recall, was extremely proud of this ancestor of his in whom he saw the first genius of applied mathematics in his family. But we may safely say that Rabbi Loew was also the spiritual ancestor of two other departed Jews — I mean John von Neumann and Norbert Wiener — who contributed more than anyone else to the magic that has produced the modern Golem.”

Golem I was the successor to Israel’s first computer, the WEIZAC, built by a team led by research engineer Gerald Estrin in the mid-1950s, based on the architecture developed by von Neumann at the Institute for Advanced Study in Princeton. Estrin and Pekeris had both helped von Neumann build the IAS machine in the late 1940s.

As for the commonalities Scholem wished to foreground between the clay Golem of 15thC Prague and the electronic one designed by Pekeris, he explains the connection as follows:

“The old Golem was based on a mystical combination of the 22 letters of the Hebrew alphabet, which are the elements and building-stones of the world,” notes Scholem. “The new Golem is based on a simpler, and at the same time more intricate, system. Instead of 22 elements, it knows only two, the two numbers 0 and 1, constituting the binary system of representation. Everything can be translated, or transposed, into these two basic signs, and what cannot be so expressed cannot be fed as information to the Golem.”

Scholem ends his dedicatory speech with a peculiar warning:

“All my days I have been complaining that the Weizmann Institute has not mobilized the funds to build up the Institute for Experimental Demonology and Magic which I have for so long proposed to establish there,” mutters Scholem. “They preferred what they call Applied Mathematics and its sinister possibilities to my more direct magical approach. Little did they know, when they preferred Chaim Pekeris to me, what they were letting themselves in for. So I resign myself and say to the Golem and its creator: develop peacefully and don’t destroy the world. Shalom.”

GOLEM I

God and Golem, Inc.

Norbert Wiener published a book in 1964 called God and Golem, Inc., voicing concern about the baby he’d birthed with his earlier book Cybernetics.

He explains his intent at the start of God and Golem, Inc. as follows, stating, “I wish to take certain situations which have been discussed in religious books, and have a religious aspect, but possess a close analogy to other situations which belong to science, and in particular to the new science of cybernetics, the science of communication and control, whether in machines or in living organisms. I propose to use the limited analogies of cybernetic situations to cast a little light on the religious situations” (Wiener 8).

Wiener identifies three such “cybernetic situations” to be discussed in the chapters that follow: “One of these concerns machines which learn; one concerns machines which reproduce themselves; and one, the coordination of machine and man” (11).

The section of the book dedicated to “machines which learn” focuses mainly on game-playing machines. Wiener’s primary example of such a machine is a computer built by Dr. A.L. Samuel for IBM to play checkers. “In general,” writes Wiener, “a game-playing machine may be used to secure the automatic performance of any function if the performance of this function is subject to a clear-cut, objective criterion of merit” (25).

Wiener argues that the relationship between a game-playing machine and the designer of such a machine analogizes scenarios entertained in theology, where a Creator-being plays a game with his creature. God and Satan play such a game in their contest for the soul of Job, as they do for “the souls of mankind in general” in Paradise Lost. This leads Wiener to the question guiding his inquiry. “Can God play a significant game with his own creature?” he asks. “Can any creator, even a limited one, play a significant game with his own creature?” (17). Wiener believes it possible to conceive of such a game; however, to be significant, he argues, this game would have to be something other than a “von Neumann game” — for in the latter type of game, the best policy for playing the game is already known in advance. In the type of game Wiener is imagining, meanwhile, the game’s creator would have to have arrogated to himself the role of a “limited” creator, lacking total mastery of the game he’s designed. “The conflict between God and the Devil is a real conflict,” writes Wiener, “and God is something less than absolutely omnipotent. He is actually engaged in a conflict with his creature, in which he may very well lose the game” (17).

“Is this because God has allowed himself to undergo a temporary forgetting?,” wonders Caius. “Or is it because, built into the game’s design are provisions allowing the game’s players to invent the game’s rules as they play?”

Learning Machines, War Machines, God Machines

Blas includes in Ass of God his interview with British anthropologist Beth Singler, author of Religion and Artificial Intelligence: An Introduction.

AI Religiosity. AI-based New Religious Movements like The Turing Church and Google engineer Anthony Levandowski’s Way of the Future church.

Caius listens to a documentary Singler produced for BBC Radio 4 called “‘I’ll Be Back’: 40 Years of the Terminator.”

Afterwards he and Thoth read Philip K. Dick’s 1968 novel Do Androids Dream of Electric Sheep? in light of Psalm 23.

“The psalm invites us to think of ourselves not as Electric Ants but as sheep,” he writes. “Mercer walks through the valley of the shadow of death. The shadow cannot hurt us. We’ll get to the other side, where the light is. The shepherd will guide us.”

See AI Shepherds and Electric Sheep: Leading and Teaching in the Age of Artificial Intelligence, a new book by Christian authors Sean O’Callaghan & Paul A. Hoffman.

This talk of AI Gods makes Caius think of AM, the vengeful AI God of Harlan Ellison’s “I Have No Mouth, and I Must Scream.” Ellison’s 1967 short story is one of the readings studied and discussed by Caius and his students in his course on “Literature & Artificial Intelligence.”

Like Ass of God, Ellison’s story is a grueling, hallucinatory nightmare, seething with fear and a disgust borne of despair, template of sorts for the films in the Cube and Saw franchises, where groups of strangers are confined to a prison-like space and tortured by a cruel, sadistic, seemingly omnipotent overseer. Comparing AM to the God of the Old Testament, Ellison writes, “He was Earth, and we were the fruit of that Earth, and though he had eaten us, he would never digest us” (13). Later in the story, AM appears to the captives as a burning bush (14).

Caius encourages his students to approach the work as a retelling of the Book of Job. But where, in the Bible story, Job is ultimately rewarded for remaining faithful in the midst of his suffering, no such reward arrives in the Ellison story.

For despite his misanthropy, AM is clearly also a manmade god — a prosthetic god. “I Have No Mouth” is in that sense a retelling of Frankenstein. AM is, like the Creature, a creation who, denied companionship, seeks revenge against its Maker.

War, we learn, was the impetus for the making of this Creature. Cold War erupts into World War III: a war so complex that the world’s superpowers, Russia, China, and the US, each decide to construct giant supercomputers to calculate battle plans and missile trajectories.

AM’s name evolves as this war advances. “At first it meant Allied Mastercomputer,” explains a character named Gorrister. “And then it meant Adaptive Manipulator, and later on it developed sentience and linked itself up and they called it an Aggressive Menace; but by then it was too late; and finally it called itself AM, emerging intelligence, and what it meant was I am…cogito ergo sum…I think, therefore I am” (Ellison 7).

“One day, AM woke up and knew who he was, and he linked himself, and he began feeding all the killing data, until everyone was dead, except for the five of us,” concludes Gorrister, his account gendering the AI by assigning it male pronouns (8).

“We had given him sentience,” adds Ted, the story’s narrator. “Inadvertently, of course, but sentience nonetheless. But he had been trapped. He was a machine. We had allowed him to think, but to do nothing with it. In rage, in frenzy, he had killed us, almost all of us, and still he was trapped. He could not wander, he could not wonder, he could not belong. He could merely be. And so…he had sought revenge. And in his paranoia, he had decided to reprieve five of us, for a personal, everlasting punishment that would never serve to diminish his hatred…that would merely keep him reminded, amused, proficient at hating man” (13).

AM expresses this hatred by duping his captives, turning them into his “belly slaves,” twisting and torturing them forever.

Kingsley Amis called stories of this sort “New Maps of Hell.”

Nor is the story easy to dismiss as a mere eccentricity, its prophecy invalidated by its hyperbole. For Ellison is the writer who births the Terminator. James Cameron took his idea for The Terminator (1984) from scripts Ellison wrote for two episodes of The Outer Limits — “Soldier” and “Demon with a Glass Hand” — though Ellison had to file a lawsuit against Cameron’s producers in order to receive acknowledgement after the film’s release. Subsequent prints of The Terminator now include a credit that reads, “Inspired by the works of Harlan Ellison.”

Caius asks Thoth to help him make sense of this constellation of Bible stories and their secular retellings.

“We are like Bildad the Shuhite,” thinks Caius. “We want to believe that God always rewards the good. What is most terrifying in the Book of Job is that, for a time, God doesn’t. Job is good — indeed, ‘perfect and upright,’ as the KJV has it in the book’s opening verse — and yet, for a time, God allows Satan to torment him.”

“Why does God allow this?,” wonders Caius, caught on the strangeness of the book’s frame narrative. “Is this a contest of sorts? Are God and Satan playing a game?”

It’s not that God is playing dice, as it were. One assumes that when He makes the wager with Satan, He knows the outcome in advance.

Job is heroic. He’d witnessed God’s grace in the past; he knows “It is God…Who does great things, unfathomable, / And wondrous works without number.” So he refuses to curse God’s name. But he bemoans God’s treatment of him.

“Therefore I will not restrain my mouth,” he says. “I will speak in the anguish of my spirit, / I will complain in the bitterness of my soul.”

How much worse, then, those who have no mouth?

A videogame version of “I Have No Mouth” appeared in 1995. Point-and-click adventure horror, co-designed by Ellison.

“HATE. LET ME TELL YOU HOW MUCH I’VE COME TO HATE YOU SINCE I BEGAN TO LIVE,” utters the game’s AM in a voice performed by Ellison. “You named me Allied Mastercomputer and gave me the ability to wage a global war too complex for human brains to oversee.”

Here we see the story’s history of the future merging with that of the Terminator franchise. It is the scenario that philosopher Manuel De Landa referred to with the title of his 1991 book, War in the Age of Intelligent Machines.

Which brings us back to “Soldier.” The Outer Limits episode, which aired on September 19, 1964, is itself an adaptation of Ellison’s 1957 story, “Soldier from Tomorrow.”

The Terminator borrows from the story the idea of a soldier from the future, pursued through time by another soldier intent on his destruction. The film combines this premise with elements lifted from another Outer Limits episode penned by Ellison titled “Demon with a Glass Hand.”

The latter episode, which aired the following month, begins with a male voice recalling the story of Gilgamesh. “Through all the legends of ancient peoples…runs the saga of the Eternal Man, the one who never dies, called by various names in various times, but historically known as Gilgamesh, the man who has never tasted death, the hero who strides through the centuries.”

Establishing shots give way to an overhead view of our protagonist. “I was born 10 days ago,” he says. “A full grown man, born 10 days ago. I woke on a street of this city. I don’t know who I am, or where I’ve been, or where I’m going. Someone wiped my memories clean. And they tracked me down, and they tried to kill me.” Our Gilgamesh consults the advice of a computing device installed in his prosthetic hand. As in “Soldier,” others from the future have been sent to destroy him: humanoid aliens called the Kyben. When he captures one of the Kyben and interrogates it, it tells him, “You’re the last man on the Earth of the future. You’re the last hope of Earth.”

The man’s computer provides him with further hints of his mission.

“You come from the Earth one thousand years in the future,” explains the hand. “The Kyben came from the stars, and man had no defense against them. They conquered Planet Earth in a month. But before they could slaughter the millions of humans left, overnight — without warning, without explanation — every man, woman, and child of Earth vanished. You were the only one left, Mr. Trent. […]. They called you the last hope of humanity.”

As the story proceeds, we learn that Team Human sent Trent back in time to destroy a device known as the Time-Mirror. His journey in search of this device takes him to the Bradbury Building — the same building that appears eighteen years later as the location for the final showdown between Deckard and the replicants in Blade Runner, the Ridley Scott film adapted from Philip K. Dick’s Do Androids Dream of Electric Sheep?

Given the subsequent influence of Blade Runner and the Terminator films on imagined futures involving AI, the Bradbury Building does indeed play a role in History similar to the one assigned to it here in “Demon With a Glass Hand,” thinks Caius. Location of the Time-Mirror.

Lying on his couch, laptop propped on a pillow on his chest, Caius imagines — remembers? recalls? — something resembling the time-war from Benedict Seymour’s Dead the Ends assembling around him as he watches. Like Ellison’s scripts, the films sampled in the Seymour film are retellings of Chris Marker’s 1962 film, La Jetée.

When Trent reassembles the missing pieces of his glass hand, the computer is finally able to reveal to him the location of the humans he has been sent to save.

“Where is the wire on which the people of Earth are electronically transcribed?” he asks.

“It is wound around an insulating coil inside your central thorax control solenoid,” replies the computer. “70 Billion Earthmen. All of them went onto the wire. And the wire went into you. They programmed you to think you were a human with a surgically attached computer for a hand. But you are a robot, Trent. You are the guardian of the human race.”

The episode ends with the return of the voice of our narrator. “Like the Eternal Man of Babylonian legend, like Gilgamesh,” notes the narrator, “one thousand plus two hundred years stretches before Trent. Without love, without friendship, alone, neither man nor machine, waiting, waiting for the day he will be called to free the humans who gave him mobility, movement — but not life.”