THE specimen before us—a post to the Reddit forum r/ChatGPT, dated December 2024, bearing the title "ChatGPT tricks I wish I knew earlier (not the usual ones)"—belongs to a genre that has no name yet, though it deserves one. It is the instructional manual composed in the idiom of the very machine it purports to instruct. It is the snake consuming its own tail, except that the snake has been generated procedurally and cannot taste anything.

The author, who identifies no credentials and supplies no name beyond a Reddit handle, opens with the confessional mode that has become the signature tic of machine-assisted prose: "I've been using ChatGPT heavily for the past few months, and honestly most tips online are pretty basic." One notes the adverb "honestly," which in the literature of human utterance once served to distinguish a forthcoming truth from prior evasion, but which here performs no such function. It is a word deployed not for meaning but for warmth—the textual equivalent of a hand placed briefly on one's forearm by a stranger at a conference. One flinches.

What follows is a listicle of four prompting strategies, each presented with the bolded numerical heading, the imperative subheading, and the paired bad/better examples that constitute the formal architecture of approximately eleven million posts composed in the same twelve-month period. The advice is as follows: first, that one should assign the machine a professional role ("Act like a senior engineer with 10 years of experience"); second, that one should request critique rather than assistance; third, that one should iterate upon initial output with such refinements as "Make it sharper" and "Reduce fluff"; and fourth, that one should supply context rather than posing generic questions.

These recommendations are, in the abstract, unobjectionable. They are also, in the concrete, entirely undemonstrated. Not once does the author furnish a specimen of output improved by the application of these methods. Not once does the author describe an actual result, a genuine surprise, a moment in which the machine produced something that could not have been anticipated. The post is a recipe without a dish, a manual for a voyage the author has manifestly not undertaken. One is reminded of those Victorian conduct books in which the chapter on "Deportment at Table" was composed by men who dined alone.

But the structural irony—and it is structural, not incidental—runs deeper than mere omission. The author's third recommendation counsels the reader to iterate, to refuse the first draft, to follow up with demands that the machine "reduce fluff" and "make it more practical." Yet the post itself is composed entirely of fluff. It is a first draft that has been published without revision, in which every sentence occupies precisely the register of vague encouragement that the author purports to have transcended. "The quality jump is huge," we are told. How huge? In what direction? To what end? The author does not say. The author cannot say, because the author is not, in any meaningful sense, present.

This is the phenomenon that warrants examination. The post is not, as it claims, a guide written by a human being who has learned to use a machine more effectively. It is a closed loop—a production in which the machine's characteristic output has been lightly repackaged as human advice and redistributed to an audience that will feed it back into the machine as a prompt, generating further output in the same register, which will in turn be repackaged and redistributed. The user serves not as author but as relay, a switching station through which the signal passes without modification.

One observes the telltale signatures. The trailing question—"Curious...... what's something you discovered that most people don't use?"—with its six suspension points, its manufactured intimacy, its naked solicitation of engagement. The phrase "thinking partner," which flatters both the machine and the user whilst describing neither. The curious locution "It's underrated for practice," which floats between the third and fourth recommendations like a sentence that wandered away from its paragraph and could not find its way home.

What the specimen finally reveals is not a failure of artificial intelligence but a failure of reading. The author has received the machine's output and has been unable to distinguish it from thought. This is not because the machine's output is sophisticated. It is because the author's expectations are not. The post counsels specificity in the prose of generality, demands rigour in the cadences of laxity, and advises its readers to reject the machine's first draft whilst itself constituting a first draft that no one—neither human nor machine—has troubled to reject. It is, in the most precise sense available to criticism, slop about the refinement of slop, and it has been received by its audience with the gratitude of the parched for water, regardless of its provenance.

The machine, one suspects, would have written it better. It would at least have included an example.