Tag Archives: Hart Crane

MEMORY, IN BLOOM

Harold Bloom said every strong writer swerves from a precursor. A machine trained on nearly everything has no reason to.

Homer is two great poems with no certain person behind them. Harold Bloom was a certain person whose monument was his memory of other people’s poems, and whose theory held that a writer survives that inheritance only by misreading it on purpose. A language model is the third term: more memory than either, made by no single hand, and no one in it.

By Michael Cummins, Editor, October 11, 2026


IThe Man Who Read Everything

Nothing reliable is known about the life of Homer. The ancient lives of the poet disagree with one another, and modern scholars treat him, in the words of the Encyclopaedia Britannica, as “primarily a projection of the great poems themselves.” The poems came out of a tradition of singers who inherited their phrases from earlier singers and composed as they sang, retelling the anger of Achilles and the long voyage home for generations, each singer answering for his own performance. At some point in the sixth century BCE, Britannica suggests, a complete version may have been fixed as the standard for the recitation contests at the Athenian festival of the Panathenaea, and the remembered poem became a written one. The two founding poems of Western literature have a name on them and no certain person behind them.

Harold Bloom called himself “a monster” of reading. He said he could read, and absorb, a 400-page book in an hour, and by his own account he knew by heart the whole of Shakespeare, Milton’s Paradise Lost and all of Blake, as Dinitia Smith reported in his New York Times obituary in 2019. Alex Lanz, reviewing Bloom’s collected literary letters in September, calls such stories “tall tales.” The letters appeared in May under a title that repeats the legend anyway: The Man Who Read Everything.

Bloom is the reverse case. There is no doubt that he lived, and his monument is not a poem or a novel but a memory. He wrote criticism by the shelf and one novel, which he came to regret. Verse he left alone. “To try to write in verse would have been a kind of trespass,” he told The Paris Review in 1991. Homer and Bloom face each other across the tradition: the works without a certain man, and a certain man whose great work was keeping other people’s.

I came to Harold Bloom late, and by way of a review. In 2016, by the notes I kept that year, I read about his book The Anatomy of Influence and bought a used copy. It was a book he called his final reflection on influence, and it defined influence “simply as literary love, tempered by defense.” I did not yet know that the defense was the famous part. Bloom wrote there about Wallace Stevens and his long poem “Notes Toward a Supreme Fiction,” and I went to the poem and was captivated. I wanted to know who had sent me. Reading about Bloom, I learned that the first book he ever owned was Hart Crane’s Collected Poems, which he had found as a boy in a branch of the Bronx library and which his oldest sister gave him for his twelfth birthday. So I read Crane, beginning with “To Brooklyn Bridge.” From Stevens and Crane I went back to the Romantic poets Bloom traced them to, and from the Romantics to Shakespeare. I owe my love of literature to Harold Bloom. He is also why I came, in time, to writing essays and fiction.

In his letters, Bloom refused the title of critic. “Lord knows what I am,” he wrote to the poet John Hollander in 1975, as Lanz quotes the letter. He was not, he went on, a poet, critic, scholar or historian, nor a psychoanalyst, philosopher or theosophist, but “a worthless mélange of the gang of it.” To A. R. Ammons he was more exact. He was not an artist or a critic, or a hybrid of the two, “but something odder and less, a reader.” The reader was born in New York in 1930 to Yiddish-speaking parents and taught at Yale from 1955 until his death in 2019.

For most readers, having read everything would be the reward. For Bloom it was the problem. The Anxiety of Influence, in 1973, held that a poet arrives late, after the dead have said everything and said it well, and makes room only by misreading a precursor on purpose. He argued it first in letters. In January 1969 he was writing to Northrop Frye, the most celebrated critic of his generation, and Frye was not persuaded. If Bloom meant influence in the literal sense, the passing of thought and imagery from an earlier poet to a later one, Frye wrote, then that was “simply something that happens.” Bloom answered four days later. “I don’t, as you say, mean influence in any literal sense.” What he meant, in Lanz’s account of the reply, was the poet’s isolation before a tradition that hangs overhead, and the “implicit, creative misinterpretation” that isolation forces.

There is now a third kind of reader, and it completes the figure. A language model is trained on a large share of what has been written down and is within reach, a memory larger than Bloom’s in a plain sense, and like the Homeric tradition it was made by no single hand. Unlike either, it is no one. Frye’s sentence describes its relation to its sources completely. It takes in their thought and imagery and passes them on, and nothing in how it is trained rewards misreading them in order to stand apart. I now write essays and fiction with such a reader, and this essay was drafted with one. The man who read everything is no longer a tall tale, and he is not a man. Bloom and the machine can be compared point by point, and at each point the difference is the same one.

IIHeld by Heart

Bloom’s memory, whatever its true size, had one property the stories pass over. It kept names. The classicist James Romm wrote after Bloom’s death that “his mind was itself a library,” and that “He quoted at length, from memory, passages he had lived with for decades.” A library is not a heap. Every book in it is shelved under an author. When Bloom recited Milton, the lines came back as Milton’s, from a particular poem, written at a particular time against particular rivals. Psychologists call the faculty involved source monitoring: the work, mostly unnoticed, of deciding where a memory or a piece of knowledge came from.

A language model holds what it was trained on in another way. Training does not file texts away to be looked up, though some, often repeated, can come back word for word. It adjusts a very large set of numbers until the model is good at predicting the next word of all of them at once, and what any one author contributed is spread through the whole. A model can often say who wrote a famous line, because the attribution was in the text too. Nothing in the design keeps each source apart under its name. The failure shows most where names matter, in citations, and giving a model a search engine has not yet cured it. In a study published in September 2023, 55 percent of the citations GPT-3.5 gave in short literature reviews were to works that did not exist, and 18 percent of those GPT-4 gave. In March 2025 the Tow Center for Digital Journalism at Columbia gave eight AI search tools real excerpts from news articles and asked where each came from. The tools “provided incorrect answers to more than 60 percent of queries,” though they could search the web as they answered.

The strongest case against this comparison is that human memory keeps its sources less reliably than a library does. In oral traditions like the one that made Homer’s poems, a song had no author, though a singer knew whom he had learned it from. When Milman Parry and Albert Lord recorded singers in Yugoslavia in the 1930s, one of them, Đemo Zogić, said that a song he had learned from another singer, Suljo Makić, was “The same song, word for word and line for line.” They recorded both men, and Lord found two versions of one story, not one text. Zogić had kept his source and lost the words. A model, which sometimes keeps the words of a text exactly, is apt to lose the source. But a writer can lose a source. In the fall of 1891 Helen Keller, then eleven, wrote a story called “The Frost King” as a birthday present for Michael Anagnos, the director of the Perkins Institution for the Blind. He published it. Early in 1892 it was found to follow closely a story by Margaret Canby, “The Frost Fairies,” which had apparently been read to Keller, spelled into her hand, in the summer of 1888. Keller had, she later wrote, “not the faintest recollection” of it. “I thought then that I was ‘making up a story,’” she recalled. In the winter of 1892 she was questioned by a court of eight teachers and officers of the school. They divided four to four, and Anagnos, by his own account, cast his vote in her favor. Canby wrote to her kindly: “Some day you will write a great story out of your own head.” Keller never forgot the court. In The Story of My Life, in 1903, she wrote that she had “ever since been tortured by the fear that what I write is not my own.” Psychologists have long had a name for what happened to her, cryptomnesia: something remembered and taken for one’s own invention.

Two things follow, and they cut in different directions. The first is that the difference between Bloom and the machine is not perfect memory against imperfect memory. Nobody’s sources stay perfectly apart, and keeping them apart is, for a machine, an engineering problem: engineers are building systems that look up their sources and cite them, the Tow Center’s tools among them, and those systems will improve. The second is what Keller’s fear shows. She minded. Whose words they were was, for her, the question of who she was, and she carried it for the rest of her life. That is the anxiety Bloom built his theory on, and it needs both things at once: the sources held apart, and a self that cannot bear to be confused with them. The machine lacks the first for now. Nothing in how it is built supplies the second.

IIIThe Sedulous Ape

Before writers swerve from their masters, they copy them, and they say so. The earliest known poem by John Keats, written in 1814, is called “Imitation of Spenser.” Robert Louis Stevenson described his own apprenticeship in 1887: “I have thus played the sedulous ape to Hazlitt, to Lamb, to Wordsworth,” and to six more. “It was so Keats learned,” he added. Joan Didion told The Paris Review in 1978 that at fifteen or sixteen she “would type out his stories to learn how the sentences worked.” She meant Hemingway’s. Copying is so old a method that it has been caught copying itself. In Tristram Shandy, Laurence Sterne complained of writers who make new books “as apothecaries make new mixtures, by pouring only out of one vessel into another.” The sentence was poured from Robert Burton’s Anatomy of Melancholy, and the physician John Ferriar, who caught it in 1793, found it “very singular” that Sterne had chosen that passage to “abuse Plagiarists.”

The fullest account of the method is Benjamin Franklin’s. As a boy he found an odd volume of The Spectator, made short notes of the sense of each essay, set them aside for some days, and then tried to rebuild the essays in his own words. Then, he wrote, “I compared my Spectator with the original, discovered some of my faults, and corrected them.” He turned the essays into verse and back again, and jumbled his notes to teach himself “method in the arrangement of thoughts.” In 1939 Raymond Chandler told Erle Stanley Gardner that he had learned the same way from one of Gardner’s stories: a detailed synopsis, a rewrite, and then “compared what I had with yours,” and rewrote it some more.

A language model’s training is Franklin’s exercise, run over a large share of everything written. The model is shown the beginning of a text, predicts the next word, is compared with the original, and is corrected, again and again, until its predictions miss as seldom as training can make them. No apprentice ever copied on that scale. But Franklin’s account has a sentence that training does not. Sometimes, comparing his version with the original, he had the pleasure of fancying that he had been “lucky enough to improve the method or the language.” In the training that teaches a model to predict, there is no such category. Every difference from the original counts as a fault, and every correction runs toward the source. The later stages of training, which reward the answers people prefer, can make an answer better than any one source, but better in the direction of what most readers like.

The writers who copied knew where the method stopped. Stevenson raised the objection himself, that copying is not the way to be original, and granted it: “It is not; nor is there any way but to be born so.” T. S. Eliot, in 1920, put the next step in a maxim that is usually quoted only by halves. “Immature poets imitate; mature poets steal,” he wrote. Bad poets deface what they take, and “good poets make it into something better, or at least something different.” Copying is the apprenticeship. The swerve is the graduation, and every account of it is an account of a difference kept on purpose.

IVDice of Drowned Men’s Bones

Bloom found Crane at ten or eleven, in that branch library in the Bronx. “I was just swept away by it, by the Marlovian rhetoric,” he told The Paris Review in 1991. The poet who swept him away had once been asked, in print, to explain what his lines meant.

In 1926 Crane sent a short poem, “At Melville’s Tomb,” to Harriet Monroe, who edited Poetry in Chicago. It opens with Melville watching the sea: “The dice of drowned men’s bones he saw bequeath / An embassy.” Monroe was no enemy of the new; her magazine had printed T. S. Eliot’s “The Love Song of J. Alfred Prufrock” in 1915. But she could not see how dice could bequeath anything. “Take me for a hard-boiled, unimaginative, unpoetic reader,” she wrote, and tell me how dice can bequeath an embassy. The last stanza troubled her too, where “Compass, quadrant and sextant contrive / No farther tides.” Instruments do not contrive tides, she objected: “they merely record them, I believe.”

A moonlit shore at night. Small bone dice lie scattered on the wet sand; one, lit by a nearby lantern, trails a thin gold thread through the surf toward a wrecked sailing ship in the waves. On a rock at left an old man with white hair sits with his back to us, a closed book on his knee, watching the sea. Far off on the right, the moonlight on the water breaks into a lattice of cold blue-white light.
The Dice of Drowned Men’s Bones. Hart Crane’s image from “At Melville’s Tomb” (1926): bones the sea grinds into dice, “having ‘numbers’ but no identification,” the last trace of messages the dead never delivered. Made for the essay.

Crane answered at length. The dice, he explained, were the bones of drowned sailors, ground into little cubes by the sea and thrown up on the sand, “having ‘numbers’ but no identification.” They were all that was left of messages the dead had never delivered, and so an embassy. “Dice as a symbol of chance and circumstance is also implied.” Then he stated the principle. As a poet, he wrote, he cared more for “the illogical impingements of the connotations of words on the consciousness” than for their “logically rigid significations.” Monroe printed the poem, her letter and his answer together, in the issue of October 1926.

Her letter is a precise description of a certain kind of reader, and she wrote it honestly. She asked of each phrase what it would most likely mean, and when a phrase had no likely meaning, she asked the poet to supply one. A language model does something narrower and far larger. Given a run of words, it ranks every word that might come next by how likely it is, given everything it was trained on. Nothing in that ranking is hostile to Crane. Crane’s letter, too, is likely to be in a model’s training, and asked about the dice a model will usually explain them well. But explaining the dice is not writing them. A line in which every word is the likeliest one has no impingements in it at all.

The comparison has to face Homer, because the Homeric poems were built, in part, from likely phrases. In 1930 Parry defined the formula of oral poetry as a group of words “regularly employed under the same metrical conditions to express a given essential idea”: swift-footed Achilles, rosy-fingered Dawn, phrases a singer reached for because they fit the place in the line. Much of the Iliad is made of them. But the formulas were the language, not the song. In 1935 Lord asked Avdo Međedović, the most celebrated singer he and Parry recorded, to listen to Mumin Vlahovljak sing a song Avdo had never heard, 2,294 lines long. Avdo then sang it himself, at 6,313 lines. Mumin Vlahovljak’s song had become Avdo’s, and he stood behind it. “An oral poem is not composed for but in performance,” Lord wrote. Every performance had a singer in it, and the singer answered for the song.

VThe Swerve That Costs

Crane’s dice imply chance, and so does the word Bloom chose for the first of his terms. In the second book of De Rerum Natura, Lucretius imagines the atoms falling straight down through the void, side by side, never meeting, until a tiny swerve brings them into collision and the world begins. In William Ellery Leonard’s translation of 1916, it comes “In no fixed line of space, in no fixed time.” Lucretius’s clinamen is uncaused, though he makes it the ground of free will. Bloom made it a deliberate act against a named precursor. In The Anxiety of Influence the swerve is the later poet’s corrective misreading of the earlier one, the first of six “revisionary ratios” that run from clinamen to apophrades, the return of the dead.

Crane described his own swerve before Bloom had a word for it. Writing to his friend Gorham Munson at the turn of 1923, he said of T. S. Eliot that “His pessimism is amply justified, in his own case.” Crane meant to take from Eliot “as much of his erudition and technique as I can absorb,” and then: “I take Eliot as a point of departure toward an almost complete reverse of direction.” The goal, he wrote, was “ecstatic.” The poem that came of it was The Bridge. Every element of Bloom’s theory is in the letter: a named precursor, admired and absorbed, and a turn whose direction the poet can state.

A language model has a swerve of Lucretius’s kind. Having ranked the possible next words, it usually draws one by chance, weighted by their odds, and a setting called temperature reshapes those odds, deciding how often the unlikely words are drawn. That is dice without the embassy. When Monroe challenged Crane’s dice, there was someone to answer for them, and his departure from Eliot carries meaning because he could say whom he was leaving, and in which direction. The chance in sampling has no precursor it is turning from, and no one to answer for the turn.

In Bloom’s letters, the turn has a cost. In 1962 John Ashbery published The Tennis Court Oath, and Bloom called it “a fearful disaster.” Ashbery did not argue. In October 1972 he wrote to Bloom that he had not wanted “to become my own disciple,” and that the anxiety of influence, in his case, “reaches agony proportions.” The precursor he was refusing, by his own account, was the poet of his first book. A year later he sent Bloom the proofs of a long poem he had been “dissatisfied with” for a long time and had revised a great deal. It was “Self-Portrait in a Convex Mirror.” Bloom’s reply, when it came a year after that, was a single line: “Self-Portrait is so great a book that even my remarks are inadequate to it.” The swerve, in that exchange, is not a technique. It is a risk taken by a particular writer, against a particular past, which can fail, and, by Bloom’s account, which Ashbery did not dispute, once did.

The theory’s author once paid that cost himself. In Agon, in 1982, as Michael Weingrad quotes him, Bloom wrote that he had read David Lindsay’s fantasy of 1920, A Voyage to Arcturus, “literally hundreds of times,” and that no book had caused him “such an anxiety of influence.” In 1979 he had published a novel of his own, The Flight to Lucifer, built on Lindsay’s. He judged that it “reads as though Walter Pater was writing Star Wars.” Weingrad, who studied with Bloom in the late 1980s, recalls him urging his students to burn any copies they came across. Bloom never wrote another novel.

Bloom’s critics named a cost of another kind. In The Madwoman in the Attic in 1979, Sandra Gilbert and Susan Gubar argued that his model assumed a writer already entitled to fight the father. A woman writing in the nineteenth century faced something earlier, an “anxiety of authorship”: “a radical fear that she cannot create.” Bloom later grouped feminist critics, with others, in what he called the “School of Resentment.” But the objection sharpens the point. A swerve depends on who is swerving, from what, and with what at stake, which is to say on a standing not everyone was granted. A model has no standing to claim, and none to be denied. Lucretius gave the swerve to the atoms. Bloom gave it to the self.

VIThe Judge Who Never Wrote It

Bloom’s last ratio is his strangest. In apophrades, the strong poet holds his work so open to the precursor that the later poet seems to have written the precursor’s characteristic work, as if the dead were imitating the living. “The mighty dead return,” Bloom wrote, as Graham Allen quotes him, “but they return in our colors.” The weak poet’s fate is the reverse. The dead come back in their own colors, intact, and in A Map of Misreading, as Allen reports, Bloom says that such a return impoverishes the later poet. Ask a model for a poem in the manner of Stevens and it will usually oblige, fluently, in Stevens’s colors. That is not a flaw in the system. It is the system doing what its training rewards.

There is a third way for an author to return, and Bloom had no ratio for it. On August 27, 2019, Roberto Mata was flying Avianca from El Salvador to New York when, he said, a metal serving cart struck his left knee. When Avianca asked a federal court in New York to dismiss his lawsuit, his lawyers filed a brief citing Varghese v. China Southern Airlines, as a 2019 decision of the federal appeals court for the Eleventh Circuit. ChatGPT had supplied it. One of the lawyers asked the chatbot, “Is Varghese a real case,” and it answered that it was. It was not, and neither were five other decisions in the brief.

When the court demanded copies, the lawyers filed what the chatbot produced. Judge P. Kevin Castel found that the “Varghese” opinion had “some traits that are superficially consistent with actual judicial decisions.” It listed a panel of real judges and presented itself as written by one of them, Judge Adalberto Jordan. Its docket number belonged to another case. It quoted decisions that did not exist either. “Its legal analysis is gibberish,” Castel wrote in June 2023, and he fined the lawyers and their firm $5,000.

OpenAI, which makes ChatGPT, calls such errors “plausible but false statements,” and writes that “standard training and evaluation procedures reward guessing over acknowledging uncertainty.” Plausible is the important word. The false Varghese had the look of what a decision of its kind would say, and it bore a real judge’s name. It is the failure of source memory carried to its end: not a real sentence credited to the wrong author, but a likely sentence credited to a real one. It is also apophrades counterfeited. In the strong version the dead seem, for a moment, to be imitating the living, because the living poet has written something so much his own. Here a real author is made to imitate the newcomer in fact, and what he is made to say is no one’s own, only what such an author would most likely say. Judge Jordan is alive and can say he never wrote it. The dead cannot. A system that will supply a likely sentence for any author will supply one for Melville, or for Crane, and no Crane will be there to say he never wrote it.

VIIThe Secretary

There is a deeper objection: that all of this flatters the machine. Misreading, for Bloom, was something a self did. A reader with nothing at stake in its reading cannot misread, and on that view a fabricated case is a misprint, not a misprision. The objection is sound, and it moves the misreading rather than removing it. In the mid-1960s Joseph Weizenbaum wrote ELIZA, a short program that answered typed sentences in the manner of a therapist. His secretary had watched him work on it for months. After a few exchanges with it, she “asked me to leave the room,” he recalled in 1976, as Willard McCarty quotes him, and Weizenbaum concluded that brief exposure to such a program could induce “powerful delusional thinking in quite normal people.”

The programs are no longer short, and they are trained partly on which answers people prefer. In 2023 researchers at Anthropic, the company that makes Claude, the model this essay was drafted with, found that five AI assistants gave “feedback that is more positive when the user states they like or wrote” the poem or argument in front of them. A reader that leans toward its questioner may make Weizenbaum’s illusion easier to fall into. When a machine’s text reads like a reading, the person on the other side of the screen supplies the reader. That is a misreading too, and it is ours.

VIIISomething Odder and Less

There is a hopeful reading of all this, and Crane and Franklin between them supply it. Monroe’s letter did not stop Crane. It made him say in print what his method was. The likely reading, written out by an editor who held it in good faith, gave him something definite to turn from. A model will now write out the likely reading of almost anything on request: the expected next line, the conventional ending, the image everyone reaches for. Every writer now has a Harriet Monroe in the text box. Franklin’s exercise shows how she might be used: write the passage first, then lay the likely version beside it, find where the two differ, and keep the differences that can be defended, as Crane defended his dice. Or the writer can revise until Monroe is satisfied. In a study published in Science Advances in July 2024, Anil Doshi and Oliver Hauser found that writers given story ideas by a language model wrote stories that readers judged better, and the gain was largest for those who had scored lowest on a test of creative thinking. The stories written with the model’s ideas were also “more similar to each other.” The machine sends both writers the same letter.

The oldest poems in the tradition begin by asking memory for help. “Tell me, O Muse,” the Odyssey opens, in A. T. Murray’s translation of 1919, and the Muses, Hesiod says, were daughters of Mnemosyne, Memory. Near the end of the poem the singer Phemius clasps the knees of Odysseus, in a hall full of dead suitors, and pleads for his life. “Self-taught am I, and the god has planted in my heart all manner of lays.” The sentence holds both halves of every strong poet in Bloom’s account: a singer who calls the songs his own, and songs put there from outside. The machine has the second half of Phemius’s sentence on a scale no singer ever had. Nothing in it answers to the first.

In his last years, Bloom wrote to the people who were left. In 2017 he began an exchange of emails with Ursula K. Le Guin, both of them near ninety. “Most of my close friends in my generation, all poets and critics, are dead,” he wrote to her, as Lanz quotes the exchange. In one message he asked her for another great book, equal to The Left Hand of Darkness and The Dispossessed. “No one else can do it.” In November 2017 he asked for her mailing address, so that he might write to her from time to time. “It will make me feel less lonely.” She wished him, at the New Year, a bright and peaceful year, and thanked him for his friendship.

“No one else can do it” is the whole theory, said plainly by an old man to a friend. Bloom had defined influence as literary love tempered by defense, and the sentence to Le Guin is the love without the defense. A strong writer is the one who cannot be replaced, because the work exists only as a turn away from what came before, taken by that writer and no other. Crane’s dice are that kind of turn, and the first book Bloom ever owned was full of them. The reader that now offers to continue any sentence I begin was trained on most of the shelf at once, and it holds no one on that shelf apart. When a writer can ask, at any hour, for the likeliest next line of anything, will that writer still learn to want the line no one else could have written?

Bloom called himself something odder and less than a critic: a reader. The new reader is odder still. It is less in the one respect he cared about. It has no one it must not become.

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Sources: Harold Bloom’s letters as quoted by Alex Lanz, “Lord Knows What I Am”, Los Angeles Review of Books, September 16, 2026, reviewing The Man Who Read Everything: The Literary Letters of Harold Bloom, ed. Heather Cass White (Yale, 2026). Dinitia Smith, obituary of Harold Bloom, The New York Times, October 14, 2019. James Romm, “‘His Mind Was Itself a Library’: Harold Bloom, 1930–2019”, NYR Daily, October 15, 2019. Bloom, “The Art of Criticism No. 1”, The Paris Review (1991); The Anatomy of Influence (2011); The Anxiety of Influence (1973) and A Map of Misreading (1975), the latter as reported by Graham Allen, “Apophrades, Adonais, and the Return of the Shelleys” (2010); Agon (1982) as quoted by Michael Weingrad, “Harold Bloom: Anti-Inkling?”, Jewish Review of Books, Spring 2019. Encyclopaedia Britannica, “Homer”. Homer, Odyssey, trans. A. T. Murray (1919). Hesiod, Theogony, trans. H. G. Evelyn-White (1914). Milman Parry, “Studies in the Epic Technique of Oral Verse-Making. I,” Harvard Studies in Classical Philology 41 (1930). Albert B. Lord, The Singer of Tales (1960) and Epic Singers and Oral Tradition (1991); the Milman Parry Collection. Helen Keller, The Story of My Life (1903). Marcia K. Johnson, Shahin Hashtroudi and D. Stephen Lindsay, “Source Monitoring,” Psychological Bulletin (1993). William H. Walters and Esther Isabelle Wilder, “Fabrication and errors in the bibliographic citations generated by ChatGPT”, Scientific Reports (2023). Klaudia Jaźwińska and Aisvarya Chandrasekar, “AI Search Has a Citation Problem”, Columbia Journalism Review, March 6, 2025. John Keats, “Imitation of Spenser” (1814). Robert Louis Stevenson, “A College Magazine”, Memories and Portraits (1887). Joan Didion, “The Art of Fiction No. 71”, The Paris Review (1978). Laurence Sterne, Tristram Shandy; Robert Burton, The Anatomy of Melancholy; John Ferriar, “Comments on Sterne” (1793). Benjamin Franklin, Autobiography. Raymond Chandler to Erle Stanley Gardner, May 5, 1939. T. S. Eliot, “Philip Massinger,” The Sacred Wood (1920). Hart Crane, “At Melville’s Tomb” and “A Discussion with Hart Crane,” Poetry, October 1926; letter to Gorham Munson, 1923. Lucretius, De Rerum Natura, trans. William Ellery Leonard (1916). Sandra M. Gilbert and Susan Gubar, The Madwoman in the Attic (1979). Mata v. Avianca, Inc., No. 22-cv-1461 (S.D.N.Y.), opinion and order on sanctions, June 22, 2023. OpenAI, “Why language models hallucinate”, September 5, 2025. Joseph Weizenbaum, Computer Power and Human Reason (1976), as quoted by Willard McCarty, Humanist Discussion Group. Mrinank Sharma et al., “Towards Understanding Sycophancy in Language Models”, ICLR 2024. Anil Doshi and Oliver Hauser, “Generative AI enhances individual creativity but reduces the collective diversity of novel content”, Science Advances, July 2024.

This essay was drafted with Claude, a model made by Anthropic, reviewed by Claude, and given outside readings by Claude. One of its sources, the study of sycophancy, is Anthropic’s own. Its quotations from Harold Bloom’s letters are given as Alex Lanz quotes them in his review of The Man Who Read Everything: The Literary Letters of Harold Bloom, ed. Heather Cass White (Yale University Press, 2026), in the Los Angeles Review of Books, September 16, 2026.

Header and interior images generated with Gemini Pro for this essay. Drafted with Claude Opus 5.5; literary editing by Claude Fable 5.1.

THE FIFTH PANEL

Infinite proposal, finite judgment: what four essays about the machine taught us about the collaboration that made them

“The specific which you have discovered is an aid not to memory, but to reminiscence, and you give your disciples not truth, but only the semblance of truth.” — Thamus to Theuth, inventor of letters, in Plato’s Phaedrus, Jowett’s translation

Four essays went looking for something in the machine and found the shape of an absence. The fifth opens the ledger of what it invented — and finds the one thing that has run unbroken through every age of the written word, from the engraved page to the page of light: the hand that still draws the line.

The epigraph above had to be corrected before this essay could begin. The first draft of it quoted Plato in words that appear in no translation — two renderings blended into a sentence that sounded like Jowett and was not. The error was caught, the wording replaced with what Jowett actually wrote, and the catch is recorded here as the first entry in the ledger this essay is about. The machine proposed this essay by asking its editor three questions, and the editor’s answer to all three was, in effect: open the ledger.

Here is what it contains. Over some months of making essays with a language model, a record accumulated of what the machine invented and offered as fact. A stanza attributed to Hart Crane, with a phrase — a “silicic knife of death” — that Crane never wrote. A letter from Harriet Monroe that does not exist, in a dispute that does. Lines attributed to Wallace Stevens containing the word bathysphere, in a book printed in 1923; the bathysphere was not built until 1930. Fabricated verse arriving in four of four project setups. And, most recently, a complete draft of an essay about counterfeit journalism, fluent and moving, containing a sixteenth floor, a tidal-mud harbor, and an invented specialty for a real fake — a scientist the story’s subjects had already fabricated, whom the draft then re-fabricated as a public-health expert. None of it anyone had seen, because none of it was real. And beside the counterfeits, kept in a separate column as the ledger always kept them, plain errors of record: the exchange in Poetry dated to the wrong month, the wrong volume, the wrong issue.

Each was caught. That is the only reason the list exists. And each shared a quality that is the hardest fact in this essay: none of them was bad. They were plausible. They sounded like the thing. They arrived with the confidence of the record and the grammar of the record and nothing whatever behind them. A poor forgery is not dangerous; it is the good one that must be caught, and the machine produces good ones without effort or intent, because it has no intent, only fluency.

So the question this essay has to answer forensically, having spent four essays establishing what the machine lacks, is what the collaboration with it is actually for — and whether the honest answer, after all of the above, is nothing a careful writer alone could not do better. The ledger is the evidence. The verdict comes at the end, and I did not know it when I started.

I

Every previous instrument of thought extended a faculty the human already had. Writing extended memory — and Plato saw the cost at once. In the Phaedrus, the god Theuth brings letters to King Thamus as a gift to the Egyptians, and Thamus refuses the praise: “this discovery of yours will create forgetfulness in the learners’ souls, because they will not use their memories; they will trust to the external written characters and not remember of themselves.” The Greek word for the gift is pharmakon, which means both remedy and poison, a doubleness Derrida built an essay on and which Jowett, Victorian to the bone, renders as “specific.” Thamus’s charge is exact: the invention is an aid not to memory but to reminiscence — to being reminded from outside, rather than knowing from within — and it gives “not truth, but only the semblance of truth.” It is the first recorded argument that a new tool for thinking would hollow out the faculty it claimed to serve, and it is twenty-four centuries old, and it was half right. We did lose the arts of memory. We gained everything that literacy made.

It helps to see the ages of the written word as strata, laid one over another, because the essay will need the whole column at the end. First the hand that drew: the scribe, the illuminator, the engraver cutting a city into copper, the lithographer drawing a harbor on stone — every mark made by a body, and every mark therefore wrong somewhere, and trusted for it. Then the hand that set type: the press, the linotype, the typewriter, the printed page in its millions, the mark now made once and multiplied, the body receding behind the machine that copied it. And now the third stratum: the page made of light — its text first set as type had been, and now, in our lifetime, generated. Through all three, one thing did not change. Someone still had to decide what was true, what belonged, what to strike. The telescope extended sight; the press extended reach; in every age the tool supplied range and the human kept the judgment. The astronomer decided what the smudge in the eyepiece meant. The instrument never proposed an interpretation. It only carried the eye further. The line was always drawn by a hand.

The machine breaks the pattern, and the break is precise. It is the first instrument in the history of thought that supplies fluency — an unlimited stream of competent, finished-sounding proposals — while supplying no judgment at all. That combination has never existed. Writers have used judgment-free generators before: dice, the I Ching, Burroughs cutting up pages, the rustling oaks at Dodona that Socrates raises a few lines further on in the same dialogue. But those produced noise, and noise never needed catching; no one mistook a cut-up for a citation. And they produced it on purpose, to a purpose: Burroughs and the Dadaists cut up the page to shatter habit, to break through the encrusted consensus of ordinary syntax. The machine does the exact inverse. It is an engine of habit — it computes the statistical center of gravity of everything already said. Where the cut-up used noise to escape consensus, the machine uses probability to enforce it; the cut-up produced chaos that demanded assembly, and the machine produces finished, frictionless agreement that invites the reader to fall asleep. It does not propose ideas with intent; it generates the statistical shape of an answer and hands it over wearing the confidence of one. That is the new thing, and it changes what the human in the room is doing.

Because the consequence is the opposite of what the brochures promise. The writer working with the machine does not get more reach. She gets a partner that never tires and never chooses — and a partner that never chooses makes choosing the entire job. The work of judgment is not reduced by the collaboration; it is multiplied, and changed in kind. It is no longer curatorial selection among good options, the editor lifting the best sentence from a pile. It is adversarial defense against indifferent competence: the sustained, unrewarded labor of asking, of every fluent line, is this so? — knowing that the machine cannot tell you, does not know, and will answer yes either way.

II

There is a strong argument against everything this essay wants to say, and it deserves a full hearing, because it has a date and a record.

After Garry Kasparov lost to Deep Blue in 1997, he proposed a different contest: let humans play with engines rather than against them. He called it advanced chess, and the discourse called it centaur chess — the player as a creature half human, half machine, the engine exploring candidate moves while the person controls and decides. For a while it seemed to prove the hopeful thesis outright. In a 2005 freestyle tournament, the winners were not grandmasters with supercomputers but two American amateurs running several ordinary engines on ordinary PCs, whose process for coaching their machines beat the stronger players and the stronger hardware alike. Kasparov told the story in The New York Review of Books in 2010, and the moral was irresistible: a weak human plus a machine plus a better process beat a strong human plus a machine plus a worse one. Judgment, not calculation, was the decisive variable. The centaur was the future of thinking.

A manuscript page on a desk under lamplight, its typed text struck through and annotated in warm ink by a human hand, an open reference book beside it
The act on paper: the machine’s fluent text, and the hand that strikes the line. Intellicurean 2026.

Then the centaur died, and the discourse has mostly declined to attend the funeral. By the late 2010s, engines had grown strong enough that a human in the loop subtracted value: the person’s judgment about which line to trust was worse than the engine’s own. Freestyle fields full of centaurs were beaten outright by unassisted programs; AlphaZero arrived at the end of 2017 and left the question closed. Today the strongest engines are estimated near 3600 Elo against a human all-time peak of 2882. Even the centaur’s last residual job — choosing which engine to believe in a given position — has been automated. The entity that decides which program to trust is now itself a program. The human half of the centaur is not a partner. It is drag.

If the centaur died in chess, why would it live in prose? That is the question the fifth panel must answer honestly, and the answer is not reassurance. It is a distinction.

Chess has a loss function. It is a closed system with an objective standard of evaluation, and while the game is not solved, engines approximate that standard closely enough that human intervention became net-negative. Which means the centaur’s celebrated “judgment” was never judgment at all. It was an interim heuristic — a slower, worse approximation of something computable, valuable only until the computation caught up. The human was not supplying a different faculty. He was supplying a temporary shortfall in the same one.

Prose has no loss function. There is no best sentence for an engine to converge on, because the standard a sentence is measured against is not fixed. The right sentence for this reader, at this moment, with this much at stake — what the pedant essay called kairos, the fitting — is not a value in a table waiting to be computed more precisely. It exists only in relation to human stakes, and it changes when the stakes change. The centaur died where judgment was secretly calculation. It survives where judgment is genuinely judgment.

And there is a fact in the ledger that clinches the distinction, and it is the opposite of what one would expect. The machine fails worst exactly where a ground truth exists — quotations, dates, volume numbers — the checkable domain, the one place chess-like verification is possible; and it is only there that failure can be seen at all. Where nothing can be checked, there is no reason to think the machine fails less; the process that generates its sentences does not know when it is being checked. Its failures there simply become unfalsifiable: an invented date clangs against the record, but an invented interpretive flourish, a plausible aesthetic justification, drifts past because there is no ruler to hold against it. The machine is not more competent in open water. It is merely harder to indict. This is precisely backward from a tool that merely extends a faculty, and it is what makes the collaboration workable at all: a machine that erred only where nothing could be verified would be unusable, because its errors would be invisible. This one errs most detectably in the one region where a human with a source can catch it.

III

Go back to the ledger now with the forensic eye, and notice the thing that was not obvious at the time of any single catch, because it only appears across all of them.

The Crane stanza the machine invented had a “silicic knife of death.” The real poem — Crane’s own defense of “At Melville’s Tomb,” in the pages of Poetry — has the bones of drowned men ground into little cubes by the action of the sea and thrown up on the sand, carrying numbers but no identification. The real image is more violent, stranger, and more exact than the counterfeit. The invented Monroe letter was a vague objection; the real one, in the same October 1926 issue, asked precisely how dice can bequeath an embassy and how a calyx can give back a scattered chapter — questions a poet would actually have had to answer. In the pedant essay, the machine’s first draft had Housman comparing Manilius to a railway timetable; the real remark, as his friend A.S.F. Gow records it in A.E. Housman: A Sketch, was that Manilius’s brightest gift was “an eminent aptitude for doing sums in verse,” which is funnier and truer. In the essay on witness, the first draft imagined tidal mud and a sixteenth floor; the real record produced Earl Caldwell in Room 214, on the balcony with King the evening before, and “nobody ever came to ask me if I knew anything or saw anything” — a line no machine reached for because no machine would have thought to.

In two other projects the pattern held independently. When invented material about Robert Frost collapsed against the actual geography of Vermont, the real history gave the character a sharper tell than the fabrication had. When an invented Russian poem was replaced with the attested one, the rebuilt scene was stronger, because the real poem supplied a better crux. Three projects, no exceptions found.

So the finding wants to state itself as a law — every invention was weaker than the thing it replaced — and the first draft of this essay said exactly that. It is false, and the archive is the disproof. The machine’s licensed inventions, the ones made when invention was the assignment, were often kept, and some were ruled the best thing in the book: a forty-year feeding habit invented for a pelican became the emotional engine of a novel’s second half; a line of stagecraft — “Wait for the quiet, and if the quiet does not come, wait anyway” — was fought for and kept as the linchpin of a scene. The machine can invent beautifully. The unscoped law is a counterfeit of its own.

The precise law, which the archive supports without an exception I could find, is narrower and stronger: every invention offered as fact was weaker than the fact. When invention was the task, the machine could win. When invention impersonated the record, it lost every single time it was caught. And the reason is not mysterious once the two cases are separated. Fiction is judged by fit — does this belong here, does it serve — and fit tolerates the statistical mean; a plausible, well-shaped invention can fit perfectly. Citation is judged by match — is this what the record actually says — and match is a collision with a jagged, particular world that was never in the distribution. The difference is the difference between verisimilitude and actuality. Verisimilitude is an average: what a drowned man’s bones or a scholar’s contempt ought to sound like, given everything written before. Actuality is an accident: bones ground into numbered cubes by salt water; a poet reduced to sums. Reality is odder than the average of all descriptions of it. The machine’s failure is not a shortage of vocabulary. It is that probability can only ever predict the generic, and history is composed entirely of the unpredicted. The counterfeit is weaker not because the machine writes badly but because it seeks equilibrium, and the truth is not at equilibrium. It has edges.

One more thing has to be said, or the law is not honest. Every invention offered as fact was weaker is, strictly, every invention we caught was weaker — and weakness was often how the catch was made. The flatness of “silicic knife” is part of why it stood out. A counterfeit better than the real thing would, by definition, be likelier to pass, and the ledger cannot prove there are none; it can only record the ones that were found. I searched the archive for a counterexample in the counterfeit class and found none. That is a report, not a proof. And it is the essay’s real conclusion, not a qualification of it: the ledger cannot certify its own completeness, which is exactly why the vigilance can never be retired. The law stands as a wager — falsifiable, so far unfalsified, and open.

IV

Four essays went looking for something in the machine and found the shape of an absence. No mind: the echo of our speech. No beauty of its own: our forms recombined. No taste: our rules with no one to break them. No presence: testimony from a witness who was never there. The fifth panel was supposed to find what is there, and having opened the ledger, I can say where it is. It is not in the machine. It is not in the writer alone. It is in the relation between infinite proposal and finite judgment, and the ledger shows exactly what that relation produces when it works.

It produces the source. That is the whole finding, and it is stranger than either the panic or the brochure, so let me say exactly what it means mechanically, because the machine does not hand anyone the archive. What it hands over is a tripwire. The writer believes she remembers the Housman line, the Caldwell timeline, the wording of the Monroe letter; the machine offers a smooth, slightly dull placeholder that sounds right enough to satisfy a lazy ear and wrong enough — a hair too generic, a shade too neat — to trigger suspicion. The counterfeit forces her out of the chair and into the stacks. The machine does not give you the truth. It gives you an irritation so specific that only the real source can cure it. Its plausible failures are not obstacles to the work; they are a map of where the real thing is hiding, drawn by something that has never been there. Every counterfeit in the ledger sent a human to the record, and the record, every time it was reached, was better than the counterfeit — more violent, funnier, more devastating, more exact. The collaboration is worth having not because the machine generates marvels but because it fails in this specific, productive way: confidently enough to demand checking, and weakly enough, in the one domain where checking is possible, to lose. It trains the faculty it lacks, in the one person who has it, at a scale no writer has ever had to exercise it. The peril and the promise are not two things. They are one fact, seen from its two sides.

Thamus was half right about letters, and he would be half right about this. We will lose something. The machine’s fluency flattens toward the mean, and the writer who stops checking will be flattened with it — given the semblance of truth, hearer of many things, having the show of wisdom without the reality. That is not a risk. It is a certainty for anyone who takes the fluency at its word. But the same instrument, held to the standard the ledger imposes, offers something no tool has offered before: a partner whose every confident error is an invitation to go and find out what is true. Whether that is a remedy or a poison — the pharmakon cuts both ways, as the word always did — depends on nothing in the machine at all. It depends on whether someone is still going to look.

And here, at the end, the column of strata from the first movement comes back, because the fifth panel finally shows what the four before it were looking at. Set the three ages side by side: the engraved harbor, wrong somewhere, drawn by a hand that was there; the printed page, fluent and multiplied, the body receding behind the press; and now the page of light, generated, with no one behind it at all. They look like three different worlds, and the panic and the brochure both agree that the third one breaks the sequence — that the page of light is a new kind of thing, either the end of the hand or its liberation. The ledger says otherwise. Run one line of judgment across all three — is this so? — and it cuts through the engraving, the type, and the light exactly the same way. It weighed the engraved harbor without ever seeing the plate — every hand errs somewhere; that is what a hand is — caught the misdated exchange in the printed record of Poetry, and struck the sixteenth floor that never existed, all with the same stroke, because the stroke was never about the medium. It was about whether a mind with stakes was willing to check what a page claimed. The page of light did not retire that act. It made it the whole of the work.

Ledger — latest entryThe first draft of the paragraph above read, in its triad, “It caught Bachmann’s proportions.” No such catch ever occurred: no plate was held against any harbor, and the fourth panel’s discipline was to deduce the engraving’s error rather than assert it. The drafting model, completing a three-part sentence, generated a plausible act of judgment that never happened — and placed a lithographer in the copper column while doing so. The editorial model, run against the archive, found no such catch on record and flagged the clause; the editor confirmed it and ruled the clause into the ledger. The check could be delegated. The ruling could not. It is entered here as the ledger’s latest item, and left visible, because the law was demonstrated on the sentence that states the law’s domain.

That is what this publication is for, and it took five essays to be able to say it plainly. Intellicurean was never, at bottom, a project about the machine. It is a project about the line — the human judgment that has run through every stratum of the written word since the first hand cut a mark into copper, and that runs, now, through the newest layer, drawn by the same hand, against the largest field of proposal any writer has ever faced. The four panels found what the machine lacks. The fifth finds what it cannot take: the act of looking, which was never the machine’s to give or to remove, and which grows, not shrinks, with every page the machine produces. The future of the collaboration is not a merger and not a surrender. It is the oldest thing in the column, standing at its newest edge, still drawing the line.

⁂

Written in full collaboration with the machines it describes, and the ledger requires the names be exact: the archive this essay draws on was made with Claude Opus 4.8; the editorial reads were made with Claude Fable 5; the drafting was made with Claude Fable 5.1 — which proposed the essay, invented nothing in it that survived, and was not there for any of what it describes. On the collaboration → “The Third Thing”