300 Years Before ChatGPT, Jonathan Swift’s Gulliver’s Travels Imagined Machines Writing Books and Producing Knowledge (1726)

The print­ing press was invent­ed in the mid­dle of the fif­teenth cen­tu­ry, and it’s been down­hill for the writ­ten word ever since. Even before then, argu­ments that the vol­ume of writ­ing being done far out­stripped the val­ue of that writ­ing sure­ly weren’t unheard of. What­ev­er the era, the most inci­sive remarks on the appar­ent vic­to­ry of ver­bal quan­ti­ty over ver­bal qual­i­ty tend to have come from writ­ers them­selves. No less a satirist than Jonathan Swift made it one of his many tar­gets in Gul­liv­er’s Trav­els (1726), imag­in­ing an elab­o­rate machine of wood and wire called “the Engine” (see illus­tra­tion above) that auto­mat­i­cal­ly gen­er­ates text, though few remem­ber it — or rather, few remem­bered it until the rise of large lan­guage mod­els in the real world.

Gul­liv­er encoun­ters that tech­no­log­i­cal mar­vel, the Engine, at an insti­tu­tion called the Acad­e­my of Pro­jec­tors in the city of Laga­do. Swift’s pro­tag­o­nist records its cre­ator’s expla­na­tion as fol­lows: “Every one knew how labo­ri­ous the usu­al method is of attain­ing to arts and sci­ences; where­as, by his con­trivance, the most igno­rant per­son, at a rea­son­able charge, and with a lit­tle bod­i­ly labor, might write books in phi­los­o­phy, poet­ry, pol­i­tics, laws, math­e­mat­ics, and the­ol­o­gy, with­out the least assis­tance from genius or study.” The Engine’s oper­a­tion, with its unwieldy, clack­ing com­po­nents and a scram­bling staff of young crankers, read­ers, and scribes, may strike us as bizarre, just as it did audi­ences in the eigh­teenth cen­tu­ry. But in our time, when stu­dents can write their papers lit­er­al­ly with­out giv­ing it a thought (to say noth­ing of what their pro­fes­sors may be get­ting up to), its con­cept now sounds all too plau­si­ble.

“This is one of the ear­li­est known men­tions of a machine that could be con­sid­ered as a com­put­er in lit­er­a­ture, more than a hun­dred years pri­or to the first cal­cu­lat­ing engine designs by Charles Bab­bage,” writes Chris Gar­cia at the web site of the Com­put­er His­to­ry Muse­um. “The Engine might be seen as a com­put­er, but per­haps it’s bet­ter thought of as a sort of ran­dom-num­ber gen­er­a­tor,” spout­ing out whichev­er words of the local lan­guage that cor­re­spond with the dig­its. That post dates from ten years, near­ly to the day, before the launch of Chat­G­PT, which changed the gen­er­al pub­lic’s ideas about what com­put­ers can and can’t do. We may dis­agree about whether a machine can tru­ly gen­er­ate “a com­plete body of all arts and sci­ences,” as the Engine’s inven­tor intends, but it no longer sounds like sheer­est fan­ta­sy.

Swift had in mind not engi­neers of arti­fi­cial intel­li­gence but the Roy­al Soci­ety, whose enthu­si­asm for sci­en­tif­ic knowl­edge and exper­i­men­ta­tion he saw as insuf­fi­cient­ly teth­ered to real­i­ty, or at least prac­ti­cal­i­ty. In addi­tion to the Engine, writes lit­er­a­ture pro­fes­sor Robin Bates, “Swift imag­ines sci­en­tists attempt­ing to extract sun­beams from cucum­bers, soft­en mar­ble into pil­lows and pin­cush­ions, replace silk­worms with spi­ders (and hav­ing them eat bright­ly col­ored flies so the threads will be pre-dyed), mix paint by smell, reassem­ble orig­i­nal food stuffs from excre­ment, and build hous­es from the top down (in imi­ta­tion of the bee and the spi­der).” His satire holds up today thanks to his under­stand­ing that, “for all the promis­es of the Enlight­en­ment, the Age of Rea­son, and the Sci­en­tif­ic and Tech­no­log­i­cal Rev­o­lu­tions,” our attempts to change the world “founder the moment we start ignor­ing human nature.” But who needs human nature, the Pro­jec­tors of today might argue, when you’ve got enough com­pute?

Relat­ed con­tent:

How George Orwell Pre­dict­ed the Rise of “AI Slop” in Nine­teen Eighty-Four (1949)

When Roald Dahl Wrote a Sto­ry Pre­dict­ing the Rise of Chat­G­PT and Oth­er AI Large Lan­guage Mod­els (1954)

Sci-Fi Writer Arthur C. Clarke Pre­dict­ed the Rise of Arti­fi­cial Intel­li­gence & the Exis­ten­tial Ques­tions We Would Need to Answer (1978)

Why AI Com­pa­nies Are Buy­ing — And Then Destroy­ing — Old Books

George Orwell Got a B- at Har­vard, When Michael Crich­ton Sub­mit­ted an Orwell Essay as His Own

A Busy Person’s Intro­duc­tion to Large Lan­guage Mod­els (LLMs)

Based in Seoul, Col­in Marshall writes and broad­casts on cities, lan­guage, and cul­ture. He’s the author of the newslet­ter Books on Cities as well as the books 한국 요약 금지 (No Sum­ma­riz­ing Korea) and Kore­an Newtro. Fol­low him on the social net­work for­mer­ly known as Twit­ter at @colinmarshall.


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