{"id":1264,"date":"2026-07-12T12:06:42","date_gmt":"2026-07-12T12:06:42","guid":{"rendered":"https:\/\/commercialrelocationpros.com\/?p=1264"},"modified":"2026-07-12T12:06:42","modified_gmt":"2026-07-12T12:06:42","slug":"its-not-just-annoying-its-inescapable","status":"publish","type":"post","link":"https:\/\/commercialrelocationpros.com\/?p=1264","title":{"rendered":"It\u2019s Not Just Annoying, It\u2019s Inescapable"},"content":{"rendered":"
\n

If Julius Caesar <\/em>had debuted this year, William Shakespeare might have been accused of writing it with AI. A certain suspicious rhetorical device appears again and again in the play. It\u2019s in Act I, Scene ii: \u201cThe fault, dear Brutus, is not in our stars, but in ourselves.\u201d In Act III, Scene ii: \u201cNot that I loved Caesar less, but that I loved Rome more.\u201d And later in that same scene: \u201cI come to bury Caesar, not to praise him.\u201d<\/p>\n

Read more NATO Is Going Strong, Actually<\/a><\/p>\n

These famous lines include what has become perhaps the best-known tic of AI writing\u2014a sentence that tells you what the subject isn\u2019t<\/em> as well as what it is: It\u2019s not X; it\u2019s Y<\/em>. Once you start noticing the construction, you see it all over the place. In one version, the Y is additive: It focuses, intensifies, or expands on the X. An annual review by Citizens Financial Group reported that growth in its private-banking division was \u201cnot just a win for the private bank\u2014it\u2019s a win for the entire enterprise.\u201d In another variant, the Y supplants the X as the preferred descriptor. \u201cThe target was never a man. The target was the truth,\u201d Michael Flynn, a former Donald Trump adviser, wrote in a March X post.<\/p>\n

Then there are constructions like No A, no B, just C<\/em>, which especially seem to crop up in AI-generated fiction. Lines such as \u201cNo bag, no things, no armor, just me\u201d helped to fuel accusations of AI writing in the horror novel Shy Girl<\/em>, which was pulled by its publisher this year. (The book\u2019s author denied using AI to write it. Citizens Financial Group has previously said that its communications team \u201cleverages the technology in a number of areas.\u201d Flynn did not respond to a request for comment.)<\/p>\n

The prevalence of this device isn\u2019t just anecdotal\u2014it\u2019s measurable. (Sorry.) Barron\u2019s <\/em>reported that its appearance in corporate communications more than quadrupled from 2023 to 2025. Researchers at Pangram, which makes an AI-detection tool, estimate that Not just X but Y<\/em> sentences appear three times as often in AI writing as they do in human writing. Elyas Masrour, a founding engineer at Pangram, told me that all of the major chatbots\u2014including ChatGPT, Claude, Gemini, and various open-source models\u2014rely on it to varying degrees.<\/p>\n

Many other well-known chatbot tells\u2014such as the usage of delve<\/em>\u2014have come and gone as AI companies honed their models and worked out kinks. Last fall, ChatGPT became obsessed with goblins and gremlins, prompting another intervention: OpenAI retired ChatGPT\u2019s \u201cnerdy\u201d personality, whose affinity for mythical creatures had apparently infected its other models. Yet It\u2019s not X; it\u2019s Y<\/em> has shown no signs of abating.<\/p>\n

Before ChatGPT came along, the construction was obscure enough that it didn\u2019t really have an agreed-upon name. Now there\u2019s a scramble for what to call it. Terms from academia, such as antithesis<\/em> and metalinguistic negation<\/em>, capture some forms of the construction but not others. In an email, Laurentia Romaniuk, a product manager for model behavior at OpenAI, referred to it as \u201ccontrastive phrasing.\u201d Despite its clunkiness, the most popular name I\u2019ve seen is \u201cnegative parallelism.\u201d<\/p>\n

When deployed judiciously, negative parallelism can be punchy. But ChatGPT turns to it too often, Romaniuk acknowledged, which can feel formulaic. So the company is working on ways to broaden the chatbot\u2019s repertoire. In the meantime, she added, users can try giving ChatGPT \u201ccustom instructions.\u201d On a Reddit forum about AI writing, users trade tips for scrubbing negative parallelism from chatbots\u2019 writing. One suggested pasting Claude\u2019s output into another AI chatbot and telling it to act as a copy editor who has a strict ban on \u201cnegative pairings\u201d such as \u201cit wasn\u2019t X, it was Y.\u201d<\/p>\n

One obstacle to a more comprehensive fix is that no one seems to know for certain why AI models are so enamored with negative parallelism in the first place\u2014maybe not even the companies that created them. (Anthropic and Google did not respond to my requests for an interview.)<\/p>\n

The simplest theory is that humans trained them that way. Large language models are built by first identifying patterns in unfathomable quantities of human-written text: books, academic papers, patent filings, and especially the internet. Negative parallelism was, of course, present in the initial training data. Shakespeare aside, there are lots of famous examples: In the 1960s, the legendary football coach Vince Lombardi popularized the saying that \u201cwinning isn\u2019t everything; it\u2019s the only thing.\u201d In the 1990s, a frozen-pizza brand\u2019s commercials insisted: \u201cIt\u2019s not delivery. It\u2019s DiGiorno.\u201d<\/p>\n

Read more The Return of the Democratic Manly Man<\/a><\/p>\n

But the training data also included lots of bad writing that AI companies don\u2019t want their chatbots to mimic, Tuhin Chakrabarty, a computer-science professor at Stony Brook University who studies AI writing, told me. So they also undergo \u201creinforcement learning,\u201d a process by which human reviewers grade the models on their responses. Through trial and error, chatbots are guided away from inappropriate responses (making stuff up, giving illegal advice, insulting the user) and toward those rated helpful. Chakrabarty said that it\u2019s plausible that human reviewers tended to give high marks to responses that included It\u2019s not X; it\u2019s Y<\/em>. That could be because negative parallelism gives the impression of nuance and insight: The AI seems to be reasoning its way from a subpar descriptor to a more apt one.<\/p>\n

That still may not be enough to explain just how prevalent the construction seems to be across the major AI models. Several experts I talked with pointed me to another, even weirder explanation.<\/p>\n

Although chatbots have advanced dramatically in their research and reasoning capacities, they are still fundamentally text-prediction machines. They generate answers one \u201ctoken\u201d\u2014or chunk of text\u2014at a time, based on what has come before. Each successive word choice factors in both the statistical likelihood of that word coming next in a sequence, based on patterns in the original training data, and the likelihood that it will lead to a highly rated response overall. In other words, the models are always seeking a balance between the clever word choice and the obvious one.<\/p>\n

When a chatbot uses negative parallelism, according to this theory, it\u2019s essentially hedging between the two. Once it has started a sentence whose function is to characterize something, the path of least resistance is to say first what the thing isn\u2019t <\/em>(X), and only then what the thing is<\/em> (Y). Put another way: For a sentence that begins with \u201cThis is,\u201d following it with \u201cnot just\u201d is both more likely and safer than the many options for how to directly characterize its subject. And after \u201cThis is not just,\u201d the rest of the sentence gets easier too. The next word can be X\u2014the boring, obvious descriptor that gets negated\u2014which in turn sets up the final choice of Y, the somewhat punchier descriptor.<\/p>\n

Even if researchers could figure out exactly why chatbots embrace negative parallelism, there\u2019s another factor that could make it very hard to fix: \u201cWhen something gets into these models, it\u2019s very hard to pull it out,\u201d Masrour, the Pangram engineer, said. That\u2019s because one of the main ways that AI models have continued to evolve is by training on text generated by other bots. That AI text is presumably replete with negative parallelism, which further bakes it into the newer model. Now consider that a growing share of the writing on the internet is also AI-generated. This, too, becomes training data for future generations of AI.<\/p>\n

On top of that, some AI labs are also using AI instead of, or in addition to, human reviewers in the post-training process, Chakrabarty said. Without intervention, there\u2019s a risk of \u201cmodel collapse,\u201d in which AI reinforces its own biases to the extent that it loses touch with the human data that were meant to ground it. \u201cIt\u2019s a very vicious loop,\u201d Chakrabarty said. \u201cThere\u2019s already negative parallelism in the text, and then AI is preferencing negative parallelism\u2014it comes to a point where it just cannot write without that.\u201d AI language is eating its own tail.<\/p>\n

Chatbot clich\u00e9s might be grating, but there\u2019s an upside to them: They make AI writing easier to distinguish from the human variety. Masrour said that although the AI writing\u2019s specific markers keep changing, it isn\u2019t actually getting any more difficult for Pangram\u2019s software to detect. The stubborn persistence of constructions such as negative parallelism may be one reason.<\/p>\n

The trade-off, for human writers, is that a once-potent rhetorical device is now a clich\u00e9 that makes you sound like a bot. That has put some people in the awkward position of insisting that they\u2019re not using AI\u2014that\u2019s just how they write. Before you mock them for it, consider that you too might soon find yourself talking and writing more like a machine: A recent study by researchers in Germany suggested that AI\u2019s writing tics are now cropping up more in spontaneous human conversation. If that continues, maybe negative parallelism will eventually lose its status as an AI-writing tell after all. The fault, dear readers, will be not in our chatbots, but in ourselves.<\/p>\n

Read more The Surprising Source of America\u2019s Success<\/a><\/p>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

We are stuck with AI\u2019s favorite writing tic.<\/p>\n","protected":false},"author":1,"featured_media":1263,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-1264","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"\nIt\u2019s Not Just Annoying, It\u2019s Inescapable - Commercial Relocation Pros<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/commercialrelocationpros.com\/?p=1264\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"It\u2019s Not Just Annoying, It\u2019s Inescapable - Commercial Relocation Pros\" \/>\n<meta property=\"og:description\" content=\"We are stuck with AI\u2019s favorite writing tic.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/commercialrelocationpros.com\/?p=1264\" \/>\n<meta property=\"og:site_name\" content=\"Commercial Relocation Pros\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-12T12:06:42+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\\\/\\\/commercialrelocationpros.com\\\/#\\\/schema\\\/person\\\/3a3374a445f1b5d4852b1d7c15b9fe3a\"},\"headline\":\"It\u2019s Not Just Annoying, It\u2019s Inescapable\",\"datePublished\":\"2026-07-12T12:06:42+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264\"},\"wordCount\":1581,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/commercialrelocationpros.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/9c58f621ff107bbc76a427c3bdbc7735.avif\",\"articleSection\":[\"Technology\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264\",\"url\":\"https:\\\/\\\/commercialrelocationpros.com\\\/?p=1264\",\"name\":\"It\u2019s Not Just Annoying, It\u2019s Inescapable - 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