160 Composition Studies
be writing. In many cases, we have been training them to try to write like a
machine would. Smooth, bland, correct, formulaic, compliant, voiceless, not-
wrong. ChatGPT does it better, but it’s never been worth doing: this is why
students hate writing it and you hate grading it.
In a rst year writing-intensive English course on Digital Lives, I had a
student come to my oce after the rst assignment, to ask where he had “lost
grades.” Computer science and engineering students ask me this question very
frequently. He had done quite well, and I told him so in my standard response.
“But how,” he asked, “if I wanted to get a higher mark? What would I have
to do?” I surprised myself by answering: “Delight me.” And then he surprised
me: he kept coming to my oce, kept talking through with me what could
distinguish writing that got the job done from writing that was delightful. How
the way we express the idea—through pacing or vocabulary or register—makes
up a good part of persuasion and eectiveness. I told him to read more, to
notice the writing, to mark where he was surprised, to feel where the beats
landed. He would need to risk a big idea and try to nd the way to understand
it by writing his way in, taking his reader with him. He kept pushing, and I
kept pushing. By the end of the term, he was getting grades in the mid 90s.
It was not so much that he was submitting better writing projects, although
he was, but that he was really developing a sense of what writing can be and
do. We were both delighted.
Writing without Writers
Generative AI pretends that there can be writing without writers, which is
as nonsensical as suggesting there can be swimming without swimmers, or
breathing without breathers. e advantage that human writers have—be-
yond our crystallized knowledge, contextual understanding, desire to con-
nect, and gift for linguistic and syntactical innovation—is that we seek, pro-
duce, and discern meaning. e mirage of suciently advanced AI blinds us
to the fact that it is nothing more than an imitation game, an innite number
of monkeys, a stochastic parrot. e generated text is boring, or derivative,
or both, and often factually incorrect. When I write, it’s because I have some-
thing to say, and I know that if I do it persuasively, I can change some part of
the world in some small way. It’s because I love endlessly looking up words I
already know, to disrupt my reliance on received understanding. It’s because
I know I will emerge with so many more ideas than I started with, and I nd
that exciting. It’s because the way I’m going to write is going to sound like me
and that’s how that diers from what others would write is what makes up
the scholarly conversation. My students deserve to feel like this too, but they
don’t. Most of my writing instruction is now oriented toward teaching my
students that their own ideas are worth expressing, that they’re not “writing