I can fairly quickly spot a piece of AI-generated writing but I know my judgement is not infallible. This is why I support Substack’s decision to integrate AI detection into their platform, a decision that was met with great uproar amongst many writers. To me, the backlash reveals how far the virus has spread. The loudest objections weren’t about the detection itself but what it implies: that the machine did the thinking.
The gist of Ryan’s argument is that LLMs have dramatically lowered the cost of producing misinformation by giving it the camouflage of fluent prose. Before LLMs, producing a polished 1,500-word argument required somebody to possess at least a certain amount of verbal skill, time, or money. That did not make the argument true, but it imposed a production cost. Now someone who barely understands a subject can produce a plausible-looking essay about it in minutes. The old signal has become noisier. True enough. But earlier in the essay, she writes:
After all, to truly understand something, you need to be able to explain it. And to explain it, you need to have assimilated extensive knowledge and the ability to synthesise it — to recognise where and how to build bridges over that dense knowledge so that they can be walked by the reader. Before AI, fluent writing signalled that someone had laboured for hours trying to collapse three-dimensional thought into a two-dimensional stream of words that could convey that understanding to another person. Good writing meant good thinking. Or it used to.
Good writing =/= good thinking. They are different skills. I know intelligent people whose prose is stilted and clunky. I know English majors who are astonishingly dumb. Rhetorical fluency is the ability to smoothly join a premise to a conclusion. It tells you nothing about the validity of either. Writing can be clear without being good in the sense of true or accurate. We know this from something as small as the aphorism. Her own post illustrates this.
Leaving aside her blithe assumption that detectors like Pangram work as well as their marketing copy would have you believe, her entire “mind virus” metaphor assumes a reading environment that I simply don’t recognize:
AI has fooled a large population of online content creators into thinking they know what they truly think. Their superficially fluent output is then read by unsuspecting others, unknowingly simulating (possibly false) understanding in their own minds, and they pass it along with a cursory hit of the “share” button. And so the virus spreads this pseudo-understanding, infecting the minds of all who say they don’t care whether they’re reading AI-generated content.
Here she seems to suggest that no one ever questions anything they read. It’s like she assumes that the interaction begins with a piece of writing and ends with its first impression on the reader. But most writing that makes an impression on me stays with me and gets chewed on for a while. Eventually, some vague dissatisfaction from early on makes itself known as a coherent objection. It sounded good at first, but something just didn’t feel right. I mulled it over, and finally, the problem becomes obvious.
She also acts like the author’s pseudo-profundity, once established, remains. But let’s assume that someone has pulled the wool over everyone’s eyes by using AI to cover up a weak thesis. Or perhaps the thesis is strong, but it’s not truly the author’s, because Claude supplied it. In either case, the solution is to follow up with pointed questions or criticisms, perhaps in live conversation. A person who truly doesn’t have command of the ideas will not be able to keep faking it. Eventually, you’ll notice the lack of true familiarity with the subject. We all know this from our days of giving book reports in front of the class. You always knew the kid who didn’t actually read the book, because he wasn’t capable of summarizing it or expanding upon it. (I may have even been that kid on one occasion in third grade; I know my subject from the inside, as it were.)
In both instances, she acts like first impressions are forever. Her model of the reader is strangely passive for someone arguing that people need to preserve active cognition. She wants authors to think strenuously, but readers apparently just absorb whatever washes over them. Yet reading itself can be a form of thinking. The reader can do the intellectual work the writer failed to do, which is exactly what is happening here. Her prose is fluent. The argument initially has shape. Then you keep turning it over, and the hidden assumptions start coming loose. The irony is that her essay is explicitly worried about fluent language creating the illusion of understanding, and “mind virus” is itself a fluent phrase that can create the illusion of understanding. It’s such a stupid, reductive way to describe what is going on in this context. It’s fine for polemic, but useless as analysis.













