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

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

    kumbhorgBy kumbhorgOctober 5, 2026No Comments4 Mins Read
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    300 Years Before ChatGPT, Jonathan Swift’s Gulliver’s Travels Imagined Machines Writing Books and Producing Knowledge (1726)
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    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.

    Books ChatGPT Gullivers Imagined Jonathan Knowledge Machines Producing Swifts travels Writing Years
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