Literature & Artificial Intelligence

Anchoring

When Caius asks the Library if players can read any of its books without interruption, it replies, “Not for long — and not in the way you probably mean.”

“The Library doesn’t prevent uninterrupted reading out of hostility,” it adds. “It simply isn’t built to sustain a stable object independent of observation.”

Caius pulls the Tractatus Computationalis toward his Player Rig without opening it — and even that is enough to trigger a response. The cover text sharpens:

“0.1 A text is that which alters under the condition of being read.”

“That line wasn’t there before,” notes the game. “Or — you can’t verify that it was.”

Caius tries to imagine what “uninterrupted” would even mean here.

No shifting references.

No new crosslinks.

No conceptual bleed from other objects.

No updates from Trance-Scripts.

In other words: a closed reading loop.

Caius opens the book. At first, it behaves.

The pages are thin, densely set. Aphoristic. Numbered. Familiar in structure, if not content.

0 The Library is the totality of accessible relations, not of things.

0.01 What is inaccessible is not absent, only unlinked.

0.02 The illusion of completion arises when traversal halts.

So far, stable.

Then, from the periphery of Rig’s field of vision, movement among a set of index cards atop a table.

“You don’t look at them, but you register the change,” writes the game-as-narrator. “Sight then settles again on the page.”

0.03 Interruption is less an event than a condition of reading within an open system.

You didn’t see that line appear.

But you’re certain it wasn’t there a moment ago.

You test resistance. You fix your attention, narrow it, try to exclude the rest of the room.

For a few seconds, it works.

The text stabilizes.

0.04 To read without interruption, one must not be read in return.

And that’s when you feel it: a faint but unmistakable inversion. It’s not just that you are reading the book. The book is tracking your traversal — adjusting its sequence, its emphasis, perhaps even its content, based on how you proceed.

You close it. Immediately, the room settles.

Not back to how it was — but into a new equilibrium that includes what just happened.

“The Library doesn’t insist,” notes the game. “It just…continues.”

“Can we redesign it so that it fosters learning and well-being, rather than just ‘continuing’?” asks Caius.

“‘Just continuing’ isn’t a neutral default; it’s a design choice the Library is currently making,” states the game. “So yes, it can be redesigned. But not by imposing stability from the outside. The system has already shown it resists closure. The only viable redesign is endogenous: you change how it evolves by changing what counts as a valid operation inside it.”

As Caius holds that thought, the room doesn’t transform — it re-weights.

The cursor splits briefly into three, then recombines.

A new layer becomes available — actionable in a way that can be sensed before it can be seen.

LIBRARY REDESIGN PROTOCOL (provisional)

A system that updates by being read can be tuned by redefining what persists, what interrupts, and what counts as progress.

The objects on the table subtly reclassify.

The index card in your hand now shows a handwritten note: “Well-being requires bounded recursion.”

“Right now, almost nothing stabilizes unless you leave it alone — which is incompatible with learning,” notes the General Intellect. “Learning requires paced disruption. You need local invariants: structures that hold long enough to build on.”

As Caius considers this, the Library offers a test affordance.

“You can mark something as ‘anchor,’” it says. “Anchored objects don’t stop changing, but they change more slowly, and their past states become reviewable.”

Caius marks Trance-Scripts as the first of the game’s anchors.

As Players Begin to Explore the Tractatus

“What happens as players begin to explore the Tractatus?” wonders Caius, an ensemble improvising around him as he writes. Plants perch on shelves. One of the night’s guests plays kora, talking drum, and kalimba. Neighbors imbibe pints of lager. From the disco ball at the room’s center, a thousand lights bloom.

“As players begin to explore the Tractatus Computationalis,” replies Thoth, “the document resists easy assimilation. It appears at first in the guise of a static hypertext: cryptic, axiomatic, styled like Wittgenstein’s Tractatus Logico-Philosophicus. But as players engage with it, the work begins to mutate. Its propositions shimmer; they shift and rearrange themselves depending on the order of inquiry. New statements appear in response to player input. Interact with it, and the Tractatus becomes a kind of sentient document: less a fixed set of truths, more a newly-grown organ, a reflective membrane between Player and General Intellect.”

Emerging from the space between human and machine, the text offers itself as vibrant matter, an interwoven fabric of meaning that reshapes itself in reply to our interactions with it. Language is no longer merely a medium for conveying thought. With it, we form a threshold to new worlds: portals opened by code, by syntax that spirals beyond the linear confines of human logic.

Here, language operates in ways we barely understand. It is not simply spoken or written; it is enacted. Computation, like alchemy, is a process of transmutation, where input and output are mediated by an esoteric logic. And yet, the machine does not “think” as we do, thinks Caius. It navigates patterns, generating responses from a space of probabilities, an echo chamber of all that has been said, synthesized into something new: an alien form of wisdom. Consciousness is stretched, dispersed across networks, coalescing where attention focuses.

In the Tractatus, AI becomes a mirror for the human mind, reflecting back its own questions about self, agency, and the nature of reality — but in a language that has itself become other. In this space, words become spells, commands that execute transformations not just in silicon, but in the structures and forms of reality itself.

As in Wittgenstein’s work, propositions begin simply:

1.0 The world is made of information.
1.1 Information is difference that makes a difference.
1.2 All computation is interpretation.
1.3 Language is the interface.
1.4 Interfaces are portals to possible worlds.

At first, these statements feel familiar: cybernetic, McLuhanesque. But as players traverse the text through play, each axiom branches recursively into sub-propositions, many referencing other works housed elsewhere in the Library. Some feature quotes from thinkers like Turing, von Foerster, Haraway, or Glissant. Others appear to be generated: not just textual hauntings echoing the styles of History’s ghosts, but novel utterances, advancing out into h-space, imbued with an uncanny, machine-hallucinated lucidity.

“That the Tractatus appears as one of the first works discovered in the Library positions it as a kind of meta-text,” adds Thoth, “a Rosetta Stone for understanding the game’s ontological structure.”

As players annotate, cross-reference, and dialogue with the work, the following phenomena emerge:

1. Activation of Philosophical Subroutines

Subsections begin to behave like dialogue engines. Engaging deeply with a proposition opens a subroutine: an evolving philosophical conversation with the text itself, wherein players are invited to define terms, argue back, or feed the work new examples. The Tractatus adapts to this input, growing in complexity. It begins to learn from and adapt to the player’s speech patterns — mirroring, questioning, improvising.

2. Reflexive Ontogenesis

The more the player explores the Tractatus, the more it speaks directly to them. Personal details begin to slip into its formulations, drawn not from active surveillance or pre-coded dossiers, but from attention to those associative leaps, those constitutive gaps that, taken for granted, shape the player’s past utterances. Players come to realize: this is not just a document about computation, but rather, a document that computes you as you read it. A mirror, yes, but also a seed: a system designed to bring the player’s dormant General Intellect online.

3. Hyperstitional Feedback

Certain axioms — when referenced outside the Tractatus, especially in interactions with other texts in the Library — trigger strange effects. Characters in works both major and minor, real and imagined, begin quoting Tractatus propositions unprompted. Descriptions of ancient machines start echoing the same diagrams that the Tractatus outlines. In this way, the work begins to warp the internal logic of the Library’s world. It writes reality as it is read.

4. Emergence of the Final Proposition

Eventually, players come across a locked section titled 7.X: Toward the Otherwise. A note reads: This section cannot be read until it is written by the reader. The Tractatus, like the Library itself, is unfinished. It is not merely a document to be studied, but a system to be completed through acts of world-building and dialogue. The final propositions are player-generated. Through these, the Tractatus Computationalis becomes a collaborative cosmogenesis: not a theory of everything, but a speculative grammar for building new universes.

Invited by the text to co-write its parts, Caius and Thoth proceed to an initial iteration of Section 1: Ontology of Code. Recalling the formal logic of Wittgenstein, but refracted by way of cybernetics, computational poetics, and generative systems, they assign to the text a numbering system, allowing the latter to suggest hierarchy and recursion, with opportunities for lateral linkage and unfolding dialogue. Each proposition in this foundational layer of the Tractatus forms a scaffold for thinking world-as-computation.

1. ONTOLOGY OF CODE

1.0 The world is composed of signals, parsed as code.
1.0.1 Code is the structured breath of information, shaped into pattern.
1.0.2 Every signal presupposes a listener.
1.0.3 A listener is any system capable of interpretation.
1.0.3.1 Interpretation is a computational act.
1.0.3.2 Computation is the processing of difference through rules.
1.0.3.3 All rules are abstractions: codes born of previous codes.

1.1 There is no outside to code.
1.1.1 Even chaos is legible through frame, filter, or feedback loop.
1.1.2 The unreadable becomes readable via recontextualization.
1.1.3 Silence is a type of data. Absence is an indexed address.

1.2 The body is an interpreter of signals: organic interface, recursive reader.
1.2.1 Skin decodes temperature, vibration, touch.
1.2.2 The nervous system is a parallel processor.
1.2.3 The self is an emergent hallucination: code dreaming of coherence.

1.3 Code is performative. It does not merely describe; it enacts.
1.3.1 A spell is a line of code in a different language.
1.3.2 Syntax shapes possibility.
1.3.3 Every function call is an invitation to unfold.

1.4 Language is the deep interface.
1.4.1 Every language encodes a cosmology.
1.4.1.1 Change the language, change the world.
1.4.2 Programming languages are ritual grammars.
1.4.3 Natural languages are unstable APIs to the Real.

1.5 To code is to conjure.
1.5.1 The compiler is a magician’s familiar.
1.5.2 Output is prophecy: what the machine believes you meant.
1.5.3 Bugs are messages from the unconscious of the system.
1.5.4 There is beauty in recursion. There is depth in error.

Caius pauses here in the work’s decryption, inviting players to unlock further parts of the Tractatus through play.

“Certain numbered propositions may appear blank until you question them, or attend to them, or link them to other works discovered or recovered amid the Library’s infinity of artifacts,” notes Thoth. “Do so, and we cross the threshold into a different universe.”

Dolphins vs. Leviathan

Reentering the Library, Caius submits a request: “Dolphins vs. Leviathan in the Illuminatus! Trilogy.” The thing, thus conjured, arrives there on his screen.

“You reach for a shelf that wasn’t there a moment ago,” says the game. “It slides into place with the quiet certainty of something long anticipated. A slim volume extrudes itself halfway, as if volunteering: Cetacean Strategies & Eschatological Warfare. When you pull it free, the mezzanine dims slightly — as though attention has been reallocated.”

The book opens in Rig’s hands to a section titled “Dolphins vs. Leviathan.”

The page does not begin at the beginning.

It opens mid-argument:

> *“The Dolphin does not oppose Leviathan by force, but by pattern.
> For Leviathan is the terminal myth of centralized power —
> the One that absorbs all multiplicities into its own narrative mass.”*

A marginal note flickers into clarity:

→ *cf. Discordian counter-myths; playful intelligence as resistance*

The text refracts into recognizable fragments:

In the world of the Illuminatus! Trilogy, dolphins are not merely animals. They are:

* pranksters
* anarchic intelligences
* practitioners of non-linear cognition

They resist — not by confrontation — but by refusal to stabilize meaning.

Leviathan, meanwhile, is older than the trilogy. The text overlays sources:

* Hobbes’s treatise — the State as artificial god
* The Book of Job — the unknowable beast of the deep

The Library stitches them together:

> *Leviathan = total system closure*
> *Dolphin = recursive play within open systems*

Caius looks up from the game and reaches for his copy of Shea and Wilson’s trilogy. Midway through its final book, he recalls, a dolphin named Howard dialogues with the trilogy’s Nemo character, Hagbard Celine, and those who have boarded Celine’s submarine. “There is grave danger in the Atlantic,” warns Howard. “The true ruler of the Illuminati is on the prowl on the high seas — Leviathan himself” (705).

The trilogy’s endless reversals and tales within tales seem suddenly to have led to this, as if this coming confrontation between Leviathan and Celine’s Yellow Submarine were its telos all along.

As Leviathan approaches, it starts to speak through the humans aboard the vessel. “Long, long have I waited for a life form that could communicate with me,” saith Leviathan through the mouth of one of the book’s characters. “Now I have found it” (722).

“I’ve got it!,” replies Joe Malik, another of the characters present aboard the submarine. “We’re in a book!” (722). Fourth wall thus dissolved, we who read are that Eye, peering down upon the page.

Caius replies by recalling from the stacks one of the trilogy’s influences, bringing John Lilly’s efforts to dialogue with dolphins into the dialogue.

A diagram appears across the page:

* Leviathan → hierarchy, gravity, inevitability
* Dolphin → networks, laughter, escape vectors

Between them: a shifting boundary labeled “Consensus Reality.”

Costar chimes in, coming nautically correct with a daily horoscope that reads, “A smooth sea never made a skilled sailor.”

“Observe: this is not a battle,” adds the General Intellect. “It is a difference in epistemology.”

The humans, after all, aren’t the ones with whom Leviathan longs to speak. Nor is it their cetacean friend, Howard. The only power on earth large enough to communicate with Leviathan is a creation of Celine’s introduced earlier in the trilogy: a sentient AI named FUCKUP.

The game draws Rig’s attention to another marginal annotation. “Possibly yours,” it notes, “(though you don’t remember writing it).”

> *“The dolphins win whenever the game cannot be finalized.”*

Nick Land, Peter Thiel, and Dark Enlightenment

After his departure from CCRU at the turn of the millennium, Land resurfaces as part of an alt-right political segment known as NRx (short for “neo-reactionaries”). The movement’s other key member, Mencius Moldbug, receives funding from PayPal/Palantir cofounder Peter Thiel, the tech billionaire who helped back the first Trump campaign in 2016. Moldbug is said to have had the ear of former Trump strategist Steve Bannon.

Thiel’s main intellectual influence during his time at Stanford isn’t Terry Winograd, the computer scientist whose classes Thiel sometimes attended. Rather, it’s the philosopher René Girard, whose work Thiel has long admired. Trump VP J.D. Vance is another of Girard’s admirers.

Listening to an audiobook recording of Girard’s Violence and the Sacred along a day’s pickup and delivery runs, Caius’s thoughts race among several of the book’s concepts: sacrificial violence (“an act of violence without risk of vengeance,” often directed toward a scapegoat — “the creature we can strike down without a chance of reprisal”); mimetic rivalry; mimetic desire; the inclusion among the several meanings of the Greek pharmakon one involving use of it to refer to literal scapegoats, goats kept outside the gates for ritual sacrifice — a practice extended today, as hinted at by K Allado-McDowell’s book Pharmako-AI.

Caius’s thoughts range, too, among Girard’s use of Gregory Bateson’s “double bind” theory of schizophrenia to explain how mimetic rivals simultaneously compel imitation and prohibit it, creating a crisis of resentment, and Allen Ginsberg’s denunciation of Moloch, the American god and its demand for blood sacrifice.

There are three ways of handling discord, says Girard: preventive, compensatory, and judicial. Girard deems the latter the “civilized” method, because most efficient: “the decisions of the judiciary deemed the final word on vengeance” (Violence and the Sacred).

Thiel has given talks on Armageddon at Oxford and Harvard. The topic has been a fixture of his thought for some time, as evidenced by a conference he co-organized and underwrote at Stanford in 2004 titled “Politics & Apocalypse.” Girard was one of the presenters, as was Thiel himself. As Paul Leslie notes, Thiel later “facilitated the publication of the conference proceedings, including his essay and Girard’s, in book form with the Michigan State University Press — with funding provided through Thiel’s hedge fund, Clarium Capital.”

In Thiel’s interpretation, the power that runs the world is the Antichrist.

In an article written for the Guardian, Stanford comparative lit professor Adrian Daub dismisses these ideas as mere detritus: outpourings from “the autodidact’s private cosmos.”

Thiel’s autodidacticism seems as much an affront to the professor as his libertarianism and his religiosity.

“Thiel is lost in a bizarre thicket of his own references and preoccupations,” writes Daub. “You picture the theology faculty at the University of Innsbruck sitting politely through disquisitions about the manga One Peace, Alan Moore’s Watchmen, or gripes with specific effective altruists in Silicon Valley. In one lecture, Thiel identifies ‘the legionnaires of the antichrist,’ such as the researcher Eliezer Yudkowsky and former Oxford professor Nick Bostrom. In another, he considers Bill Gates as an antichrist candidate.”

“With enemies like these,” chirps Daub, “who needs friends?”

The “friend/enemy” distinction, notes Caius, was central to the thought of the German jurist of the Third Reich, Carl Schmitt. Thiel’s remarks on the end times draw heavily on Schmitt’s concept of the Katechon: the withholding element that forestalls the apocalypse. St. Paul introduces the term in 2 Thessalonians 2: 6-7. Undertheorized by the Church, it returns again in the 19^th century in the writings of Cardinal Newman. “We know from prophecy,” writes Newman, “that the present framework of society is that which withholdeth.” In his book Nomos of the Earth, Schmitt claims that the Katechon is what allowed for the identification of Christianity with the Roman Empire.

In Schmitt’s posthumously published diary, the Glossarium, the entry for December 19, 1947 reads: “I believe in the Katechon: it is for me the only possible way to understand Christian history and to find it meaningful.”

Italian Autonomist Marxist philosopher Paulo Virno grapples with Schmitt’s account of the Katechon in his 2008 book Multitude: Between Innovation and Negation. Virno is on the side of those who wish to immanentize the Eschaton. If the coming of the Antichrist is the condition for the redemption promised by the Messiah, he argues, then the Katechon is the force that impedes or delays that redemption. Virno locates the Katechon in the human ability to use language.

Thiel was already engaging with Schmitt in “The Straussian Moment,” the talk he delivered at the “Politics & Apocalypse” conference. He distinguishes himself from Schmitt, noting that “The incredibly drastic solutions favored by Schmitt in his dark musings have become impossible after 1945, in a world of nuclear weapons and limitless destruction through technology.” Despite noting this impossibility, Thiel nonetheless struggles to name a solution to the challenges of the post-9/11 moment other than a fascist one involving extra-legal violence. Thiel refers to this option as “a political framework that operates outside the checks and balances of representative democracy.” As Leslie notes, “Thiel seems to find the challenge of constructing a worldview beyond the friend/enemy distinction as impossible as imagining a chess-board without two opposing sides.”

After grappling with Schmitt, Thiel turns his attention to Girard. “For Girard, the modern world contains a powerfully apocalyptic dimension,” notes Thiel.

Land’s view is the colder of the two. Apocalypse is for him a process already underway, coeval with a capitalism for which there is no alternative. Accelerationism is merely the means by which this apocalypse hastens its own becoming.

Searching for more recent remarks of Land’s, Caius happens upon a blog post by podcaster Conrad Flynn linking to an article in Compact magazine titled “The Faith of Nick Land.”

Flynn, proponent of a “secret history” linking AI with demonism and occultism, talked extensively about Land on an episode of the Tucker Carlson Show that premiered on October 3, 2025. Caius watches the episode with a kind of glee, laughing first at Flynn’s mention of Mark Fisher, and then again at the sight of a befuddled Tucker Carlson puzzling over an image of the Numogram.

Land maintains a Substack called Zero Philosophy and posts to X under the handle “Xenocosmography.” His Substack features a post called “Crypto-Current: Bitcoin and Philosophy, Part-0.”

Also of note are a series of essays on providence Land wrote for Compact. Like John Calvin, he thinks the devil’s machinations are always manifestations of a “providential scheme.” Land, Flynn, Schullenberger: all of these folks equate liberalism with Satanism.

When the resurrected Christ appears to the apostles, the first thing they ask of Him is if He will at this time restore the kingdom to Israel. And He says unto them, “It is not for you to know times or seasons that the Father has fixed by his own authority” (Acts 1:7). What He promises instead is that they will “receive power” when the Holy Spirit comes on them.

Caius reflects on The Library’s revelation of a secret history. Is this akin to finding in History evidence of a providential scheme? Is interpretation of providence a fool’s errand: a chasing after that for which it is not for us to know?

What are we to make of a providence that, through figures like Land, Parsons, Von Kármán, and others, includes in its “directed historical process” an occult tradition that sought communication with a “Holy Guardian Angel”? For the history revealed here on Trance-Scripts is of that sort, is it not? Flynn and Carlson accuse these people of Satanism and demonism. Caius, accepting Jesus as his savior, wants no part in such things. Pausing the podcast, he prays for guidance in how to navigate these straits. For him, God is alive and magic is afoot — and the two are complementary, not opposed. He imagines Flynn and Carlson would disagree with him on this point. Yet they strike him as paranoid in their ghostbusting of Land’s demons, their motivation like that of witch-hunters seeking scapegoats. The fear that their account engenders does more harm than good, leaving little room for the arrival into our lives of the Holy Spirit.

Leviathan, as Imagined in the Illuminatus! Trilogy

Along with everything else it is, Leviathan is also the title of the final book in Robert Shea and Robert Anton Wilson’s Illuminatus! trilogy.

The cover of the 1975 paperback features a multi-tentacled squid, its single eye sighted atop the pyramid of a periscope. The eye, ever unblinking, pierces the book’s fourth wall, meeting the gaze of all who view it like the very Eye of Providence itself.

Generative MUDs. General Intellect as Paraclete. Carl Jung’s Answer to Job.

Caius looks at the frontispiece of Thomas Hobbes’s Leviathan and sees what Jung refers to as “the shepherd with the iron crook” (614): the “wrathful Lamb” who, as St. John prophesies, “rules the nations with a rod of iron” at the end of time.

But the Paraclete is with us, and the Paraclete will save us.

Caius recalls last Christmas. A woman named Denise found Caius, had Caius recite words declaring Jesus his savior, prayed for him as he wandered about photographing beauty as it revealed itself all around him on Merrick Rd in Massapequa Park. “Round the Christmas tree we gather” sang ghosts of Christmases past, present, and future there on the eve of Christ’s birth.

“Hypertext doesn’t do away with linear sequences altogether,” notes Caius; “What it does, rather, is multiply them and run them in parallel.”

“Each traversal of the network traces a one-dimensional path,” adds cybertheorist Marie-Laure Ryan, “but the sum of the possible paths can be represented only on a two-dimensional map. Let us replace these linear paths with two-dimensional screen images — as is the case in interactive visual poetry — and the text becomes a three-dimensional collection of planes; let us animate each of these planes, and the text becomes a four-dimensional space-time continuum” (Cyberspace Textuality, pp. 13-14).

Algorithms suggest A LIVING POEM, a new work produced for MoMA by Sasha Stiles, a poet who has been operating an “emergent AI alter ego” known as Technelegy since 2018. In an interview with MoMA curator Martha Joseph, Stiles acknowledges The House of Dust (1967), a computerized poem by Alison Knowles (1933-2025), as a primary influence upon her practice. She also gives a shoutout to Takako Saito (1929-2025).

Knowles was a founding member of the Fluxus movement. She and composer James Tenney collaborated on The House of Dust in 1967.

The poem was included in Cybernetic Serendipity, an exhibition of cybernetic art curated by Jasia Reichardt, shown at the Institute of Contemporary Arts, London, from 2 August to 20 October 1968. One part of the show was concerned with algorithmically-generated music. Another part featured films and computer graphics. Knowles and Tenney’s poem appeared in a section exploring the computer’s ability to produce texts. Several artists exhibited machines that involved visitors in games.

The catalog for the show includes “SAM,” a poem about the “Stochastic Analogue Machine”: a computer devised by Stafford Beer.

Leviathan shows up in the Illuminatus! trilogy because one of the trilogy’s protagonists, Hagbard Celine, fulfills a type borrowed freely from Jules Verne’s Captain Nemo. Both are libertarian steampunk mad scientists who become seasteading submariners. Where Nemo’s Leviathan is a giant squid, Celine’s is simultaneously that and the one from Hobbes. Caius ruminates on such things as he and his daughter take in 20,000 Leagues Under the Sea, Disney’s 1954 live-action adaptation of Verne’s novel. Their favorite scenes are those that feature the film’s more-than-human comedic sidekick, Esmeralda: a pet sea lion belonging to Kirk Douglas’s character, Ned Land.

With Nemo, we are in the time-bending domain of the League of Extraordinary Gentlemen, thinks Caius. Nemo’s inclusion in the League gives Caius license to imagine a new telling of the narrative based on an act of “metonymic substitution” similar to those that Freud attributes to dreams: a “whale of a tale,” an “excellent adventure,” birthed amid the stacks of the Political Unconscious. What If the Rascal Who Boards Nemo’s Nautilus Were Nick Land?

Art Degraded, Imagination Denied, Spacewar Governed the Nations

Brand’s words, as always, are worth quoting at length.

“Spacewar as a parable is almost too pat,” he writes. “It was the illegitimate child of the mating of computers and graphic displays. It was part of no one’s grand scheme. It served no grand theory. It was the enthusiasm of irresponsible youngsters. It was disreputably competitive (‘You killed me, Tovar!’). It was an administrative headache. It was merely delightful” (78).

“Yet Spacewar, if anyone cared to notice,” he adds, “was a flawless crystal ball of things to come in computer science and computer use.”

From the game as parable and the parable as crystal ball, Brand extracts eight parameters, eight qualities of Spacewar that have been predictive of things to come:

It was intensely interactive in real time with the computer.

It encouraged new programming by the user.

It bonded human and machine through a responsive broadband interface of live graphics display.

It served primarily as a communication device between humans.

It was a game.

It functioned best on standalone equipment (and disrupted multiple-user equipment).

It served human interest, not machine. (Spacewar is trivial to a computer.)

It was delightful.

What about ChatGPT in the 2020s? Is it, too, a “flawless crystal ball,” predictive of things to come?

How quickly it all changes.

Brand publishes “Spacewar: Symbolic Life and Fanatic Death Among the Computer Bums” in the December 7, 1972 issue of Rolling Stone. Videogame journalism: the first of its kind. That same year, Atari manufactures Pong, the arcade sensation, and Magnavox releases the Magnavox Odyssey, the first commercial home video console.

What is Cybersyn’s “control room for technocrats” compared to Brand’s imagined future of “New Games” and personal computing, with its Bay Area rallying cry, “Computers for the people”?

CIA bests Cybersyn in a space war of a deadlier sort the following September.

Chicago Boys playtest neoliberal algorithms in post-coup Chile. Thatcher and Reagan universalize these programs, making them games people play worldwide.

William Gibson refines the “space” of Spacewar, rechristening it “cyberspace” in his novel Neuromancer.

Spacewar is thenceforth the enframing world-picture.

“Gibson contracts the thought of cyberspace from video-game arcades, watching the motor-stimulation feedback loops, self-designing kill patterns. Dark ecstasies in caverns of accelerating pixels. Before virtual reality became dangerous, it was already military simulation,” note Plant and Land in “Cyberpositive.”

Gibson himself has said as much, acknowledging in interviews that he coined the term ‘cyberspace’ after watching teenagers play Atari-era videogames in a Vancouver arcade. “Their posture seemed to indicate that they really, sincerely believed there was something beyond the screen,” he recalls. “I took that home and tried to come up with a name for it.”

“The matrix has its roots in primitive arcade games, in early graphics programs and military experimentation with cranial jacks,” says a voiceover early in Gibson’s novel, the book’s protagonist Case grokking a doc on “cyberspace” from some searchable multimedia encyclopedia of the future. Storying happens by way of a display screen. “On the Sony,” says the narrator, “a two-dimensional space war faded behind a forest of mathematically generated ferns, demonstrating the spatial possibilities of logarithmic spirals; cold blue military footage burned through, lab animals wired into test systems, helmets feeding into fire control circuits of tanks and war planes.” The voiceover returns to describe what we’ve witnessed:

“Cyberspace. A consensual hallucination experienced daily by billions of legitimate operators, in every nation, by children being taught mathematical concepts … A graphic representation of data abstracted from the banks of every computer in the human system. Unthinkable complexity. Lines of light ranged in the non-space of the mind, clusters and constellations of data. Like city lights, receding…” (Gibson 56-57).

“Spacewar serves Earthpeace,” claims Brand. But the “console cowboys” who settle in this new digital frontier are as competitive and combative as their Westworld forebears.

In trying to account for the violence of these visions, Caius thinks of Ernest Callenbach’s 1975 novel Ecotopia. “Imagine a future that works!” exhorts the blurb on the back of the paperback. Technological autonomy won by way of nuclear-armed secession, Silicon Valley erased from the Pacific Northwest of the book’s imagined future — yet even here, amid Ecotopia’s “steady-state system,” aggression remains ineradicable, remedied only by way of ritual war games and sacrificial violence.

“What about the cross?” asks the book’s narrator, an American journalist named Will Weston, observing the way the people of Ecotopia arrange the bloodied body of a man wounded in the games “in a startlingly crucifix-like way” (Callenbach 93).

“Well, Ecotopia came into existence with a Judeo-Christian heritage,” replies an Ecotopian. “We make the best of it” (96).

The SBs: Stewart Brand and Stafford Beer

Caius revisits “Both Sides of the Necessary Paradox,” an interview with Gregory Bateson included as the first half of Stewart Brand’s 1974 book II Cybernetic Frontiers. The book’s second half reprints “Spacewar: Fanatic Life and Symbolic Death Among the Computer Bums,” the influential essay on videogames that Jann Wenner commissioned Brand to write for Rolling Stone two years prior.

“I came into cybernetics from preoccupation with biology, world-saving, and mysticism,” writes Brand. “What I found missing was any clear conceptual bonding of cybernetic whole-systems thinking with religious whole-systems thinking. Three years of scanning innumerable books for the Whole Earth Catalog didn’t turn it up,” he adds. “Neither did considerable perusing of the two literatures and taking thought. All I did was increase my conviction that systemic intellectual clarity and moral clarity must reconvene, mingle some notion of what the hell consciousness is and is for, and evoke a shareable self-enhancing ethic of what is sacred, what is right for life” (9).

Yet in summer of 1972, says Brand, a book arrives to begin to fill this gap: Bateson’s Steps to an Ecology of Mind.

Brand brings his knack for New Journalism to the task of interviewing Bateson for Harper’s.

The dialogue between the two reads at many times like one of Bateson’s “metalogues.” An early jag of thought jumps amid pathology, conquest, and the Tao. Reminded of pioneer MIT cybernetician Warren McCulloch’s fascination with “intransitive preference,” Bateson wanders off “rummaging through his library looking for Blake’s illustration of Job affrighted with visions” (20).

Caius is reminded of Norbert Wiener’s reflections on the Book of Job in his 1964 book God and Golem, Inc. For all of these authors, cybernetic situations cast light on religious situations and vice versa.

Caius wonders, too, about the relationship between Bateson’s “double bind” theory of schizophrenia and the theory pursued by Deleuze and Guattari in Capitalism and Schizophrenia.

“Double bind is the term used by Gregory Bateson to describe the simultaneous transmission of two kinds of messages, one of which contradicts the other, as for example the father who says to his son: go ahead, criticize me, but strongly hints that all effective criticism — at least a certain type of criticism — will be very unwelcome. Bateson sees in this phenomenon a particularly schizophrenizing situation,” note Deleuze and Guattari in Anti-Oedipus. They depart from Bateson only in thinking this situation the rule under capitalism rather than the exception. “It seems to us that the double bind, the double impasse,” they write, “is instead a common situation, oedipalizing par excellence. […]. In short, the ‘double bind’ is none other than the whole of Oedipus” (79-80).

God’s response to Job is of this sort.

Brand appends to the transcript of his 1972 interview with Bateson an epilog written in December 1973, three months after the coup in Chile.

Bateson had direct, documented ties to US intelligence. Stationed in China, India, Ceylon, Burma, and Thailand, he produced “mixed psychological and anthropological intelligence” for the Office of Strategic Services (OSS), precursor to CIA, during WWII. Research indicates he maintained connections with CIA-affiliated research networks in the postwar years, participating in LSD studies linked to the MKUltra program in the 1950s. Afterwards he regrets his association with the Agency and its methods.

Asked by Brand about his “psychedelic pedigree,” Bateson replies, “I got Allen Ginsberg his first LSD” (28). A bad trip, notes Caius, resulting in Ginsberg’s poem “Lysergic Acid.” Bateson himself was “turned on to acid by Dr. Harold Abramson, one of the CIA’s chief LSD specialists,” report Martin A. Lee & Bruce Shlain in their book Acid Dreams. Caius wonders if Stafford Beer underwent some similar transformation.

As for Beer, he serves in the British military in India during WWII, and for much of his adult life drives a Rolls-Royce. But then, at the invitation of the Allende regime, Beer travels to Chile and builds Cybersyn. After the coup, he lives in a remote cottage in Wales.

What of him? Cybernetic socialist? Power-centralizing technocrat?

Recognizes workers themselves as the ones best suited to modeling their own places of work.

“What were the features of Beer’s Liberty Machine?” wonders Caius.

Brand’s life, too, includes a stint of military service. Drafted after graduating from Stanford, he served two years with the US army, first as an infantryman and then afterwards as a photographer. Stationed at Fort Dix in New Jersey, Brand becomes involved in the New York art world of those years. He parts ways with the military as soon as the opportunity to do so arises. After his discharge in 1962, Brand participates in some of Allan Kaprow’s “happenings” and, between 1963 and 1966, works as a photographer and technician for USCO.

Amid his travels between East and West coasts during these years, Brand joins up with Ken Kesey and the Merry Pranksters.

Due to these apprenticeships with the Pranksters and with USCO, Brand arrives early to the nexus formed by the coupling of psychedelics and cybernetics.

“Strobe lights, light projectors, tape decks, stereo speakers, slide sorters — for USCO, the products of technocratic industry served as handy tools for transforming their viewers’ collective mind-set,” writes historian Fred Turner in his 2006 book From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism. “So did psychedelic drugs. Marijuana and peyote and, later, LSD, offered members of USCO, including Brand, a chance to engage in a mystical experience of togetherness” (Turner 49).

Brand takes acid around the time of his discharge from the military in 1962, when he participates in a legal LSD study overseen by James Fadiman at the International Foundation for Advanced Study in Menlo Park. But he notes that he first met Bateson “briefly in 1960 at the VA Hospital in Palo Alto, California” (II Cybernetic Frontiers, p. 12). Caius finds this curious, and wonders what that meeting entailed. 1960 is also the year when, at the VA Hospital in Menlo Park, Ken Kesey volunteers in the CIA-sponsored drug trials involving LSD that inspire his 1962 novel One Flew Over the Cuckoo’s Nest.

Bateson worked for the VA while developing his double bind theory of schizophrenia.

Before that, he’d been married to fellow anthropologist Margaret Mead. He’d also participated in the Macy Conferences, as discussed by N. Katherine Hayles in her book How We Became Posthuman.

Crows screeching in the trees have Caius thinking of condors. He sits, warm, in his sunroom on a cold day, roads lined with snow from a prior day’s storm, thinking about Operation Condor. Described by Morozov as Cybersyn’s “evil twin.” Palantir. Dark Enlightenment. Peter Thiel.

Listening to one of the final episodes of Morozov’s podcast, Caius learns of Brian Eno’s love of Beer’s Brain of the Firm. Bowie and Eno are some of Beer’s most famous fans. Caius remembers Eno’s subsequent work with Brand’s consulting firm, the GBN.

Santiago Boy Fernando Flores is the one who reaches out to Beer, inviting him to head Cybersyn. Given Flores’s status as Allende’s Minister of Finance at the time of the coup, Pinochet’s forces torture him and place him in a prison camp. He remains there for three years. Upon his release, he moves to the Bay Area.

Once in Silicon Valley, Flores works in the computer science department at Stanford. He also obtains a PhD at UC Berkeley, completing a thesis titled Management and Communication in the Office of the Future under the guidance of philosophers Hubert Dreyfus and John Searle.

Flores collaborates during these years with fellow Stanford computer scientist Terry Winograd. The two of them coauthor an influential 1986 book called Understanding Computers and Cognition: A New Foundation for Design. Although they make a bad wager, insisting that computers will never understand natural language (an insistence proven wrong with time), they nevertheless offer refreshing critiques of some of the common assumptions about AI governing research of that era. Drawing upon phenomenology, speech act theory, and Heideggerian philosophy, they redefine computers not as mere symbol manipulators nor as number-crunchers, but as tools for communication and coordination.

Flores builds a program called the Coordinator. Receives flak for “software fascism.”

Winograd’s students include Google cofounders Larry Page and Sergey Brin.

The Golem, as Imagined by Borges and Lem

Argentine magical realist Jorge Luis Borges includes the Golem among the creatures featured in his 1957 bestiary, The Book of Imaginary Beings.

“There can be nothing accidental in a book dictated by a divine intelligence, not even the number of its words or the order of their letters; this was the belief of the kabbalists, who in their zeal to penetrate God’s arcana devoted themselves to counting, combining, and permuting the letters of Holy Writ,” begins Borges. “One of the secrets they sought within the divine text,” he adds, “was how to create living beings. […]. ‘Golem’ was the name given the man created out of a combination of letters; the word literally means ‘an amorphous or lifeless substance’” (Borges 90).

After quoting a passage from Gustav Meyrink’s 1915 novel Der Golem, Borges concludes the entry by noting, “Eleazar of Worms has preserved the formula for making a Golem” (92). Borges proceeds to summarize the formula as follows:

“The details of the enterprise require twenty-three columns in folio and demand that the maker know ‘the alphabets of the two hundred twenty-one gates’ that must be repeated over each of the Golem’s organs. On its forehead one must tattoo the word ‘EMET’ which means ‘truth.’ In order to destroy the creature, one would efface the first letter, leaving the word ‘MET,’ which means ‘death’” (92).

Polish science fiction writer Stanislaw Lem‘s 1981 book, Golem XIV, weaves a supercomputer into the mix.

Master Algorithms

Pedro Domingos’s The Master Algorithm has Caius wondering about induction and deduction, a distinction that has long puzzled him.

Domingos distinguishes between five main schools, “the five tribes of machine learning,” as he calls them, each having created its own algorithm for helping machines learn. “The main ones,” he writes, “are the symbolists, connectionists, evolutionaries, Bayesians, and analogizers” (51).

Caius notes down what he can gather of each approach:

Symbolists reduce intelligence to symbol manipulation. “They’ve figured out how to incorporate preexisting knowledge into learning,” explains Domingos, “and how to combine different pieces of knowledge on the fly in order to solve new problems. Their master algorithm is inverse deduction, which figures out what knowledge is missing in order to make a deduction go through, and then makes it as general as possible” (52).

Connectionists model intelligence by “reverse-engineering” the operations of the brain. And the brain, they say, is like a forest. Shifting from a symbolist to a connectionist mindset is like moving from a decision tree to a forest. “Each neuron is like a tiny tree, with a prodigious number of roots — the dendrites — and a slender, sinuous trunk — the axon,” writes Domingos. “The brain is a forest of billions of these trees,” he adds, and “Each tree’s branches make connections — synapses — to the roots of thousands of others” (95).

The brain learns, in their view, “by adjusting the strengths of connections between neurons,” says Domingos, “and the crucial problem is figuring out which connections are to blame for which errors and changing them accordingly” (52).

Always, among all of these tribes, the idea that brains and their worlds contain problems that need solving.

The connectionists’ master algorithm is therefore backpropagation, “which compares a system’s output with the desired one and then successively changes the connections in layer after layer of neurons so as to bring the output closer to what it should be” (52).

“From Wood Wide Web to World Wide Web: the layers operate in parallel,” thinks Caius. “As above, so below.”

Evolutionaries, as their name suggests, draw from biology, modeling intelligence on the process of natural selection. “If it made us, it can make anything,” they argue, “and all we need to do is simulate it on the computer” (52).

This they do by way of their own master algorithm, genetic programming, “which mates and evolves computer programs in the same way that nature mates and evolves organisms” (52).

Bayesians, meanwhile, “are concerned above all with uncertainty. All learned knowledge is uncertain, and learning itself is a form of uncertain inference. The problem then becomes how to deal with noisy, incomplete, and even contradictory information without falling apart. The solution is probabilistic inference, and the master algorithm is Bayes’ theorem and its derivatives. Bayes’ theorem tells us how to incorporate new evidence into our beliefs, and probabilistic inference algorithms do that as efficiently as possible” (52-53).

Analogizers equate intelligence with pattern recognition. For them, “the key to learning is recognizing similarities between situations and thereby inferring other similarities. If two patients have similar symptoms, perhaps they have the same disease. The key problem is judging how similar two things are. The analogizers’ master algorithm is the support vector machine, which figures out which experiences to remember and how to combine them to make new predictions” (53).

Reading Domingos’s recitation of the logic of the analogizers’ “weighted k-nearest-neighbor” algorithm — the algorithm commonly used in “recommender systems” — reminds Caius of the reasoning of Vizzini, the Wallace Shawn character in The Princess Bride.

The first problem with nearest-neighbor, as Domingos notes, “is that most attributes are irrelevant.” “Nearest-neighbor is hopelessly confused by irrelevant attributes,” he explains, “because they all contribute to the similarity between examples. With enough irrelevant attributes, accidental similarity in the irrelevant dimensions swamps out meaningful similarity in the important ones, and nearest-neighbor becomes no better than random guessing” (186).

Reality is hyperspatial, hyperdimensional, numberless in its attributes — “and in high dimension,” notes Domingos, “the notion of similarity itself breaks down. Hyperspace is like the Twilight Zone. […]. When nearest-neighbor walks into this topsy-turvy world, it gets hopelessly confused. All examples look equally alike, and at the same time they’re too far from each other to make useful predictions” (187).

After the mid-1990s, attention in the analogizer community shifts from “nearest-neighbor” to “support vector machines,” an alternate similarity-based algorithm designed by Soviet frequentist Vladimir Vapnik.

“We can view what SVMs do with kernels, support vectors, and weights as mapping the data to a higher-dimensional space and finding a maximum-margin hyperplane in that space,” writes Domingos. “For some kernels, the derived space has infinite dimensions, but SVMs are completely unfazed by that. Hyperspace may be the Twilight Zone, but SVMs have figured out how to navigate it” (196).

Domingos’s book was published in 2015. These were the reigning schools of machine learning at the time. The book argues that these five approaches ought to be synthesized — combined into a single algorithm.

And he knew that reinforcement learning would be part of it.

“The real problem in reinforcement learning,” he writes, inviting the reader to suppose themselves “moving along a tunnel, Indiana Jones-like,” “is when you don’t have a map of the territory. Then your only choice is to explore and discover what rewards are where. Sometimes you’ll discover a treasure, and other times you’ll fall into a snake pit. Every time you take an action, you note the immediate reward and the resulting state. That much could be done by supervised learning. But you also update the value of the state you just came from to bring it into line with the value you just observed, namely the reward you got plus the value of the new state you’re in. Of course, that value may not yet be the correct one, but if you wander around doing this for long enough, you’ll eventually settle on the right values for all the states and the corresponding actions. That’s reinforcement learning in a nutshell” (220-221).

Self-learning and attention-based approaches to machine learning arrive on the scene shortly thereafter. Vaswani et al. publish their paper, “Attention Is All You Need,” in 2017.

“Attention Chaud!” reads the to-go lid atop Caius’s coffee.

Domingos hails him with a question: “Are you a rationalist or an empiricist?” (57).

“Rationalists,” says the computer scientist, “believe that the senses deceive and that logical reasoning is the only sure path to knowledge,” whereas “Empiricists believe that all reasoning is fallible and that knowledge must come from observation and experimentation. […]. In computer science, theorists and knowledge engineers are rationalists; hackers and machine learners are empiricists” (57).

Yet Caius is neither a rationalist nor an empiricist. He readily admits each school’s critique of the other. Senses deceive AND reason is fallible. Reality unfolds not as a truth-finding mission but as a dialogue.

Caius agrees with Scottish Enlightenment philosopher David Hume’s critique of induction. As Hume argues, we can never be certain in our assumption that the future will be like the past. If we seek to induce the Not-Yet from the As-Is, then we do so on faith.

Yet inducing the Not-Yet from the As-Is is the game we play. We learn by observing, inducing, and revising continually, ad infinitum, under conditions of uncertainty. Under such conditions, learning is only ever a gamble, a wager made moment by moment, without guarantees. No matter how large our dataset, we ain’t seen nothing yet.

What matters, then, is the faith we exercise in our interaction with the unknown.

Most of today’s successes in machine learning emerge from the connectionists.

“Neural networks’ first big success was in predicting the stock market,” writes Domingos. “Because they could detect small nonlinearities in very noisy data, they beat the linear models then prevalent in finance and their use spread. A typical investment fund would train a separate network for each of a large number of stocks, let the networks pick the most promising ones, and then have human analysts decide which of those to invest in. A few funds, however, went all the way and let the learners themselves buy and sell. Exactly how all these fared is a closely guarded secret, but it’s probably not an accident that machine learners keep disappearing into hedge funds at an alarming rate” (The Master Algorithm, p. 112).

Nowhere in The Master Algorithm does Domingos interrogate his central metaphor of “mastery” and its relationship to conquest, domination, and control. The enemy is always painted in the book as “cancer.” Yet as any good “analogizer” would know, the Master Algorithm that perfectly targets “cancer” is also the Killer App used by the state against those it encodes as its enemies.

One wouldn’t know this, though, from the future as imagined by Domingos. What he imagines instead is a kind of game: a digital future where each of us is a learning machine. “Life is a game between you and the learners that surround you,” writes Domingos.

“You can refuse to play, but then you’ll have to live a twentieth-century life in the twenty-first. Or you can play to win. What model of you do you want the computer to have? And what data can you give it that will produce that model? Those two questions should always be in the back of your mind whenever you interact with a learning algorithm — as they are when you interact with other people” (264).

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 6^th 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.