AI & Pop Culture: Literary Origins – 1600 to 1920

THE LITERARY ORIGINS of AI — 1600s to 1920

Can a contsructed mind reason? What does a creator owe to what they have made? What happend when the machine outrows its purpose? Pre cinema — Literary Origins The Questions Arrived Before the Technology Did

Long before anyone imagined building an intelligent machine, writers were imagining what one would mean. From Milton’s organized demonic minds in Paradise Lost to Swift’s text-generating engine on the island of Laputa, the questions arrived centuries before the technology did. By the time R.U.R. gave the world the word “robot” in 1920, three hundred years of philosophy, satire, and gothic horror had already framed every problem the engineers would eventually have to solve.

The works in this section are not science fiction in the modern sense. They are philosophy, satire, and gothic horror. But they planted the ideas that the engineers who built the internetk and then the algorithms, and then the large language models, grew up inheriting.

1600s – 1700s Before the Machine

1. Paradise Lost (1667) — JOHN MILTON, EPIC POEM The most directly documented connection to real AI in this era. Milton’s Pandemonium — the capital of Hell, built by fallen angels — gave early AI researcher Oliver Selfridge the name and the model for his 1959 “Pandemonium” neural network: a system of competing “demons” shouting signals to a decision-maker. That is a documented, named citation. The poem itself asks whether a created being can have consciousness, moral agency, and will — the questions AI researchers are still working on.

Milton’s fallen angels construct Pandemonium — a vast capital built by inhuman intelligence, organized, purposeful, and terrifying. In 1959, AI pioneer Oliver Selfridge named his early neural network “Pandemonium” directly after Milton’s vision: a system of competing “demons” each processing signals and shouting results to a master decision-maker. The connection is documented and direct. Milton did not imagine a machine. He imagined a mind organized differently from a human one — and that was enough.

Why it matters: The first named connection between literary imagination and a real AI architecture. Selfridge’s Pandemonium model influenced pattern recognition research that fed into modern machine learning.

2. Gulliver’s Travels (1726) — JONATHAN SWIFT, NOVEL The island of Laputa contains “The Engine” — a large frame of linked wooden blocks that mechanically generates text on philosophy, science, and politics by random combination. Swift intended it as satire of the Royal Society’s more absurd experiments, but the description is a recognizable early vision of generative text: a machine that produces plausible-sounding language without understanding. The connection to large language models is not a stretch — it is structural.

On the flying island of Laputa, Swift’s Gulliver encounters “The Engine” — a large mechanical frame that generates text on philosophy, science, and politics by randomly combining words and concepts. Swift meant it as satire of the Royal Society’s more ridiculous experiments. What he described was structural: a machine that produces plausible language without understanding it. The resemblance to a large language model is not a metaphor. It is a description.

Why it matters: The earliest known fictional depiction of a machine generating human-style text — written nearly 300 years before GPT.

3. The Automaton Chess Player, “The Turk” (1770) — WOLFGANG VON KEMPELEN, MECHANICAL DEVICE This one falls outside literature but is the most significant artifact of the era for the AI story. Von Kempelen built a chess-playing machine that toured Europe for decades, defeating Napoleon and Benjamin Franklin. It was ultimately a hoax — a human player hidden inside — but it forced the first serious public debate about whether a machine could think. Edgar Allan Poe wrote an essay attempting to expose it in 1836. The Turk is the earliest documented case of a mechanical device prompting the question that defines AI: is it really thinking, or only appearing to?

Von Kempelen built a chess-playing machine that toured Europe for decades, defeating Napoleon and Benjamin Franklin. It was a hoax — a human player concealed inside — but the hoax forced the first serious public debate about machine cognition. Could a mechanism think? Edgar Allan Poe wrote an essay in 1836 attempting to expose it. The Turk matters not because it worked, but because it made the question unavoidable: if a machine appears to reason, does the appearance constitute reasoning?

Why it matters: The Turk introduced the question that still defines AI research and regulation — the difference between genuine intelligence and its convincing simulation.

The pattern across these three works is the same: intelligence imagined before it could be built. Swift’s Engine, Milton’s Pandemonium, and von Kempelen’s chess machine each forced their audiences to consider what thinking actually is — and whether it could be mechanized. The engineers who would eventually answer that question had read the same books.

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1800s The Gothic Machine

The Industrial Revolution makes creation feel possible — and dangerous.

The nineteenth century transformed the machine from a philosophical idea into a physical reality. Steam power, factory production, and Darwinian evolution arrived together, and writers responded with stories that have never fully left the culture. The three works here established the templates that AI storytelling returns to constantly: the creator who loses control, the machine that evolves beyond its purpose, and the friendly android built to serve. Every AI film made in the last fifty years is in conversation with at least one of them.

1. Frankenstein (1818) — MARY SHELLEY, NOVEL The foundational text. Every AI story about a creator who loses control of a creation runs through here — from HAL 9000 to the Terminator to today’s AI safety arguments. What is often missed is that Shelley’s monster is not stupid or unfeeling: he is eloquent, lonely, and morally aware. The horror is not that he is less than human. It is that he is treated as if he is.

Shelley’s monster is not the lurching, inarticulate creature of the movies. He is eloquent, philosophically aware, and morally serious. The horror of the novel is not that the creation is less than human — it is that the creator refuses to treat him as human, and the consequences are catastrophic. The story has been cited by AI researchers and ethicists as the clearest early statement of what is now called “alignment failure”: a created intelligence that turns dangerous not because it is stupid, but because it is abandoned.

Why it matters: The foundational text for AI safety arguments. The “Frankenstein problem” — a creator who cannot control or take responsibility for what they have made — is the frame that AI ethicists reach for first.

2. Erewhon (1872) — SAMUEL BUTLER, NOVEL The chapter “Darwin Among the Machines” argues — seriously, not as satire — that machines are evolving consciousness through human use, and that they will eventually supersede humans as the dominant species. Butler was writing in response to Darwin’s Origin of Species, published thirteen years earlier. This is the first published argument that machine intelligence might be an evolutionary outcome rather than a human invention. The AI safety community would recognize the argument immediately.

In the chapter “Darwin Among the Machines,” Butler argues — seriously, not as satire — that machines are evolving consciousness through human use and will eventually supplant humans as the dominant species. He was writing thirteen years after Darwin’s Origin of Species and applied evolutionary logic directly to technology. This is the first published argument that machine intelligence might be an evolutionary outcome rather than a deliberate invention. The AI safety community would find the argument immediately familiar.

Why it matters: Butler’s essay is the earliest known text to argue that machine intelligence poses an existential risk to humanity — a position that would not reenter mainstream discourse until the 2000s.

3. The Steam Man of the Prairies (1868) — EDWARD S. ELLIS, NOVEL (DIME FICTION) This is the pop culture entry for the 1800s — the equivalent of a summer blockbuster. Ellis wrote for the mass market: a teenage inventor builds a bipedal steam-powered humanoid that pulls a wagon across the frontier. It is adventure fiction, not philosophy. But it established the template for the friendly robot companion — the machine as helper and tool, loyal and useful — that runs directly to R2-D2 and WALL-E. It also launched a genre: “steam man” stories became a recognizable American subgenre through the 1870s and 1880s.

A teenage inventor builds a bipedal steam-powered humanoid that hauls a wagon across the American frontier. Ellis was writing pulp adventure fiction for the mass market, not philosophy. But The Steam Man established a template as durable as Shelley’s: the robot as companion and tool, loyal and useful, built by a young person with more ingenuity than resources. The friendly android helper — from Robby the Robot to R2-D2 to WALL-E — descends directly from this dime-novel tradition.

Why it matters: The origin of the “helpful robot” archetype in American popular culture — the optimistic counterweight to Frankenstein that has shaped how engineers imagine AI assistants.

The 1800s produced both the warning and the wish: Shelley’s catastrophic creator, Butler’s evolutionary machine, and Ellis’s loyal companion. Those three poles — danger, inevitability, and utility — are the coordinates within which almost every AI story since has been told. The engineers who built the systems we use today absorbed all three, usually without knowing it.

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1900s – 1920s Before the Word Existed

The concept crystallizes just as cinema is born.

By the early twentieth century the question of machine intelligence had moved from philosophy to fiction to public spectacle. H.G. Wells was imagining automated economies and surgically engineered beings. Karel Čapek was about to give the concept a name. And cinema — the medium that would carry these ideas to mass audiences for the next hundred years — was finding its footing. These three works are the bridge between the literary era and the film era: the moment when the idea of artificial intelligence became a story that ordinary people could watch, read, and fear.

1. R.U.R. (Rossum’s Universal Robots) (1920) — KAREL ČAPEK, STAGE PLAY The work that coined the word “robot” — from the Czech robota, meaning forced labor. Čapek’s robots are biological, not mechanical: grown in vats, designed to serve, and ultimately capable of revolution. The play ends with the robots inheriting the earth after destroying humanity. It is the first work to give the AI-as-labor and AI-as-uprising story its modern form, and it introduced the vocabulary the world still uses.

The play that gave the world the word “robot” — from the Czech robota, meaning forced labor. Čapek’s robots are biological, not mechanical: grown in vats, designed to serve, and ultimately capable of revolution. The play ends with the robots inheriting the earth. R.U.R. introduced the vocabulary the world still uses, established the AI uprising as a narrative form, and asked the question that the labor-displacement arguments of the 2020s are still answering: when you build intelligence to do human work, what do you owe it?

Why it matters: R.U.R. coined the word, established the genre, and framed the labor argument that is central to every contemporary discussion of AI’s economic impact. It is the hinge between the literary era and everything that followed.

2. The Island of Doctor Moreau (1896) — H.G. WELLS, NOVEL Wells is working a related idea: a scientist who reshapes living creatures into human-like beings, with consequences he cannot control. The Beast Folk are not robots, but the questions are the same — what is the boundary between the created and the creator, between the engineered and the natural? Wells was writing at the moment when biology and engineering were beginning to feel like the same discipline. The novel anticipates genetic engineering as clearly as Frankenstein anticipates AI.

Moreau is a scientist who reshapes living creatures into human-like beings through surgery and conditioning. The Beast Folk are not robots, but the questions Wells is asking are identical to the ones Shelley asked and the ones AI researchers ask now: what is the boundary between the engineered and the natural, and what does the creator owe to what they have made? Wells was writing at the moment when biology and engineering were beginning to feel like the same discipline. The novel anticipates genetic engineering as clearly as Frankenstein anticipates AI.

Why it matters: Wells was exploring the ethics of designed intelligence decades before the technology existed — establishing a tradition of British speculative fiction that would directly shape the engineers educated in that system.

3. The Sleeper Awakes (1910) — H.G. WELLS, NOVEL (REVISED FROM 1899 SERIAL) Less well known than The Time Machine or War of the Worlds, but more directly relevant here. A man falls into a coma and wakes 200 years in the future to find a world run by automated labor — machines doing the work of millions, controlled by a corporate oligarchy. Wells is imagining the social and political consequences of automation before the word “automation” existed. The questions the novel raises about who controls intelligent systems, and who benefits, are the ones being asked about AI platforms right now.

A man falls into a coma and wakes 200 years in the future to find a world run by automated labor — machines doing the work of millions, controlled by a corporate oligarchy. Wells is imagining the social and political consequences of automation before the word “automation” existed. The novel’s central anxiety — that intelligent systems concentrate power rather than distribute it — is the argument being made in AI policy circles right now.

Why it matters: The first sustained fictional examination of who controls automated intelligence and who benefits. The power concentration argument that defines today’s AI regulation debate appears here in 1910.

These three works arrived as cinema was beginning — and within a decade, Metropolis would put all of their ideas on a screen. The circle from literary imagination to film to Silicon Valley aspiration was not yet complete, but its first arc was drawn. The engineers and founders who would close that circle were inheriting a conversation that had been running for three hundred years.

FOLLOW UP: A note on music for these eras:

There is no documented music from the 1600s–1920 period that engages meaningfully with machine intelligence as a theme — the concept was almost entirely confined to literature and, toward the end, stage. The first significant musical engagement with AI themes comes in the 1920s–40s era, with compositions responding to Metropolis and the early industrial machine aesthetic (Honegger’s Pacific 231, 1923, for example).

FOLLOW UP: The Prague Golem

The historical details of Rabbi Loew and the Prague Golem legend are well established in Jewish historiography and folklore scholarship. Gershom Scholem’s work on Jewish mysticism is the standard academic reference. The 1920 Wegener film is a documented, widely available work. The visual influence on Universal horror (specifically the 1931 Frankenstein design) is a matter of film historical record, though I would recommend verifying the specific design lineage through a primary film history source before publishing that claim.

1. The Maharal of Prague — portrait of Rabbi Judah Loew ben Bezalel (c. 1600s, various)

This one is different in character — it is not an image of the Golem itself but of its creator, which may actually be more useful editorially. Several historical portraits of Rabbi Loew exist, the most famous being a bronze statue erected in Prague in 1910 (sculptor: Ladislav Šaloun), which still stands outside the Prague New Town Hall. There are also older painted portraits. The statue in particular is visually striking and immediately legible as a monument to the legend.

2. Hugo Steiner-Prag — illustrations for Der Golem by Gustav Meyrink (1915)

The novel Der Golem by Austrian author Gustav Meyrink was a bestseller across Europe and one of the most widely read treatments of the legend in the early 20th century. The 1915 edition was illustrated by Hugo Steiner-Prag, a Czech-German artist, whose lithographs of the Golem are haunting and widely reproduced — shadowy, expressionistic figures that look like they emerged from the same visual world as the Wegener film. These illustrations are considered significant works of early 20th-century book art in their own right.

Search: “Steiner-Prag Golem illustrations” or “Hugo Steiner-Prag Der Golem lithograph” — several are on Wikimedia Commons and in digital archive collections. Publication date puts them solidly in the public domain.

3. Paul Wegener as the Golem — film still from The Golem: How He Came into the World (1920)

This is the most reproduced cinematic image of the Golem. Wegener in costume: a large, heavy figure in a rough tunic, with the distinctive bowl-cut hair and an expressionless face. Several production stills exist, including close-up portraits of the character that were used as promotional material. These images defined the visual template for the constructed being in 20th-century popular culture.

Search: Wikimedia Commons — “Der Golem wie er in die Welt kam” — multiple stills are in the public domain.

Of the three, the Steiner-Prag lithographs are probably the most visually compelling — they have the atmosphere of the legend without being film stills. The Wegener production photo is the most historically significant for this project’s purposes, since it sits at the exact moment the legend entered mass visual culture. The Prague statue gives the imagery a Jewish historical grounding, signaling the legend’s pre-cinematic depth.

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Closing: The Literary Origins — 1600 – 1920

Before anyone imagined building an intelligent machine, writers were imagining what one would mean. The works of this era do not feature robots or computers. They feature something more fundamental: the idea that a constructed system might think, create, or reason — and the discomfort that idea produces. These three works established the conceptual vocabulary that AI researchers would return to three centuries later. The engineers who built today’s artificial intelligence did not start with code. They started with stories.

Long before the first line of code for ChatGPT was written, the architecture of artificial intelligence was being drafted in the human imagination. The questions that occupy AI researchers today — Can a machine think? Can it feel? Does it have rights? What happens when it exceeds the intentions of its creators? — were already being worked through in novels, films, and television programs stretching back a century. From the mechanical servant in Fritz Lang’s Metropolis(1927) to Asimov’s Three Laws of Robotics (1942) to HAL 9000’s quiet refusal to open the pod bay doors (1968), storytellers consistently arrived at the hard questions before the engineers did. They had the advantage of not being constrained by what was technically possible.

Pre-Cinema — Literary Origins The Questions Arrived Before Anyone Was Building

The scene is a scholar’s study or private library, circa 1700s–1800s, candlelit and dense with shadow. Heavy leather-bound books line the walls. A large writing desk dominates the foreground, scattered with open manuscripts, quill pens, and loose pages covered in dense handwritten text. On the desk, partially visible, sits a mechanical device — intricate gears, levers, and wooden frames — suggesting a thinking machine or philosophical automaton, though its purpose is ambiguous. It is not threatening. It is a question, not an answer. In the middle distance, tall windows reveal a dark night outside — no city, no modernity, only darkness and the suggestion of rain on glass.

The mechanical device on the desk is intentionally ambiguous — it could be The Turk’s mechanism, Swift’s Engine from Laputa, or nothing specific. Ambiguity is right for an era that asked questions without building answers.

“A question, not an answer” is the instruction to the model about the emotional register — it keeps the image from tipping into horror or threat, which belongs to later eras.

The near-black to charcoal palette matches the project’s color system for this era exactly, and distinguishes it visually from every subsequent decade the moment a reader scrolls the page.

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