The specimen before us is not, strictly speaking, a piece of machine-generated prose, and it is precisely this fact that renders it so useful to the student of contemporary letters. It is, rather, a field report—brief, exasperated, and inadvertently taxonomic—filed to the subreddit r/ChatGPT by a user who has spent sufficient time in the company of artificial intelligence to have developed what one might call, without irony, a critical ear. The author does not theorize. The author does not cite. The author simply identifies three structural tells of machine rhetoric with the weary precision of a man who has found the same counterfeit coin in his change purse once too often, and asks whether anyone might help him instruct the machine to stop.

One ought to begin with the examples furnished, for they constitute—quite without the author's apparent intention—a minor style guide to the default register of ChatGPT's output. The first: "this isn't a generic Reddit post, it's a call to action." The second: "that doesn't make it exciting, but it's real!" The third: "What this means for you—try suggesting some prompts that have worked for you, or link me to the information elsewhere." Each specimen, one observes, follows an identical rhetorical pattern: the false pivot, in which consequence is manufactured by the syntactic apparatus of reframing something as something else, whilst the substance of both halves of the reframing remains equally weightless. The structure is that of the epiphany—the volta, if one wishes to be generous—deployed in circumstances where no epiphany has occurred, nor could occur, nor was solicited.

The second example adds to this architecture the performed candor of the exclamation mark and the adjective "real," a word whose deployment in artificial prose has become so reflexive as to function now chiefly as evidence of its opposite. That a machine should insist upon the reality of its observations is, of course, the precise inversion of the literary convention in which a human author earns the reader's trust through the patient accumulation of accurate detail. The machine, possessing no trust to earn and no details it has observed, reaches instead for the assertion directly. "It's real!" it announces, with the confidence of a man producing credentials that no one has requested and that turn out to have been issued by himself.

The third example—the unsolicited directive—is perhaps the most instructive, for it reveals the machine's fundamental confusion between discourse and transaction. "What this means for you" is the language of the financial prospectus, the corporate memorandum, the quarterly earnings call. That it should appear unbidden in casual conversation suggests a system whose training data has been drawn so indiscriminately from the full corpus of English-language material on the internet that it can no longer distinguish between a human being asking a question and a shareholder awaiting guidance. The directive to "try suggesting some prompts" compounds the difficulty, for it asks the interlocutor to do the machine's work—a recursion that would be charming were it not so plainly accidental.

What arrests the attention of the literary reader, however, is not the accuracy of the complaint—which is considerable—but its structural irony. The user wishes to correct the machine's default speech pattern. The mechanism proposed for this correction is a prompt, stored in the machine's memory system, which will instruct the machine to suppress its own characteristic habits. One must pause to appreciate the circularity: the user must speak to the machine in order to teach it not to speak like a machine, must employ the machine's own faculties of comprehension and retention to remedy the deficiencies of those very faculties, must trust the system's memory to remember that the system's instincts are not to be trusted. It is rather as though one were to write a letter to one's tailor, in the tailor's own hand, instructing him to stop making all one's suits the same.

And yet the complaint itself—the user's own prose—achieves precisely the directness it seeks from the machine. "You know what I'm talking about," the author writes, and one does. The sentence is without false pivot, without performed candor, without unsolicited directive. It assumes a shared experience between writer and reader and proceeds upon that assumption without pausing to manufacture significance. It is, in short, the prose the machine cannot produce: prose that knows what it knows and does not pretend to know more. The complaint is also the proof. The user demonstrates, by the act of complaining, the register the machine has failed to locate.

One is left, finally, with a question that the user does not pose but that the specimen makes unavoidable: whether a system whose default rhetorical mode is the simulation of consequence can be taught, by stored instruction, to simulate instead the absence of simulation. Whether the machine, having learned to perform epiphany, can learn to perform the restraint of a writer who would not dream of performing one. The answer, one suspects, is that it can—and that the result will be a subtler species of the same difficulty, a directness as manufactured as the urgency it replaces, differing only in that it will be harder to detect and therefore longer in producing its own taxonomy of complaint.