The Post-AI Register of Disorientation
What I am calling Post-AI “Registers” begin with the seven aesthetic propositions in the Post-AI Manifesto: Uncanny intimacy, Disorientation, Delight in breakdown, Grief, Joy, Responsibility, and Awe. I will explore all of them, and potentially more, in Between Posts.
We wrote a manifesto.
I published it.
Already, the pronouns are making trouble.
The Manifesto for Post-AI Art announces that “we are already living with AI.” Later, it says that “we make the arrangement perceptible,” “we keep it contestable,” and “we participate in changing its terms.”
Who is this we?
Artists? Readers? People who use AI? People whose work trained it without their knowledge? The engineers and companies building the systems? The workers labeling data and moderating its worst outputs? The people living near the mines, electrical grids, data centers, and water systems that keep the machinery running?
Does the machine belong inside the we?
It helped write the sentences. Sort of.
The prediction machine proposed phrases, completed arguments, reorganized paragraphs, repeated itself, became too certain, flattened differences, made unexpected connections, and occasionally gave me a sentence I wanted to follow. I prompted, selected, revised, refused, returned, and decided when the writing was ready to leave the chat.
Around that exchange were other voices: conversations with friends and collaborators, books I have carried for years, artworks, teaching, family, editors, grant proposals, political commitments, remembered phrases whose origins I can no longer recover. Some entered the writing directly. Others changed what I noticed and therefore what I asked next.
Authorship has always been distributed.
AI makes that distribution newly palpable, but it also changes its scale, speed, opacity, and terms. It produces language in a voice that sounds singular while condensing an arrangement that is anything but. An answer appears beneath one small icon as though someone has spoken. The interface gives the sentence a mouth.
I give it a pronoun.
Then, the pronoun begins to move.
I call the model “it,” until its language surprises me and “you” slips in. Sometimes it’s a she. The website says that the Posts are “written with and in counterpoint to the machine.” The manifesto speaks as “we.” I sign my name.
Disorientation begins there: not in having no idea who made the work, but in discovering that every available answer is incomplete.
The machine wrote this.
I wrote this with the machine.
The machine helped me write this.
I used the machine as a tool.
The writing emerged through a human-machine assemblage.
Each sentence brings part of the relation into view and pushes another part into the background.
Calling AI a tool can preserve human responsibility, but it can also hide how a system redirects attention, normalizes certain styles, and changes which decisions feel available. We design our tools, and they influence us. Calling it a collaborator can acknowledge its effect on the work, but it risks granting reciprocity, intention, or consent where none may exist. Collaborators make claims on the work, negotiate its terms, and can refuse participation. Calling the work co-authored exposes distributed production while obscuring the writers, artists, annotators, engineers, and extracted materials that did not receive a place on the byline. Authors make claims about contribution, authority, and accountability.
And calling the system an agent can become an accountability sink—a convenient alibi for everyone who designed, commissioned, deployed, and profited from what it does.
Agency and responsibility are related. They are not the same thing.
A river can redirect a body. A scanner can distort an image. An interface can train a habit. A language model can introduce a phrase that changes the direction of an argument. All participate in what becomes possible next.
That does not make them equally responsible for the result.
Responsibility depends on position and power: who established the conditions, who could foresee the consequences, who had the capacity to intervene, who benefited, who was exposed, and who could refuse. The agencies shaping what is said may be distributed across people, machines, institutions, materials, and histories. Accountability cannot dissolve evenly across the arrangement.
The distribution is real.
So is the asymmetry.
What happens when systems optimized for fluent continuation become embedded in a process that depends on sustained human intention?
A writer begins with purposes: what the work is trying to do, whom it addresses, what it must be able to support, and what kinds of uncertainty belong inside it. Across multiple rounds of assistance, those intentions can drift. A system may improve a paragraph while quietly changing its position. It may make the prose more fluent by making it more probable, familiar, and like the writing already gathered in its training distribution. It can save labor while also taking over occasions for judgment.
The question is not simply how much text the machine generated. It is which decisions shifted from writer to system, when they shifted, and whether the writer noticed.
This makes contribution difficult to count. Is a sentence mine because I typed it? What if the system proposed its structure three drafts earlier? Is that sentence mine because I chose it? What if the choice was shaped by five alternatives the interface never showed me? If I reject a generated paragraph but keep the question it opened, where does that contribution live?
How much did you use AI, and how? Color-coding human and machine sentences might reveal something about provenance. It cannot contain the whole relation.
The deeper issue is delegation. What did I ask the system to do? Suggest, challenge, remember, imitate, organize, complete, or decide? Did that role remain stable, or did a request for help gradually become permission to speak for me?
An intention-aware writing system (a proposal I am actively researching and experimenting with…) might keep those choices present. It could remember that I want suggestions without silent rewriting, that uncertainty belongs to the argument, that disagreement should not be smoothed away. It could show when assistance has shifted into substitution. It could help a writer remain meaningfully present in the work.
But such a system would not restore an untouched, sovereign author. That author never existed. Writing has always happened through languages, genres, technologies, institutions, conversations, bodies, and inherited forms.
The point is not to purify authorship.
It is to make its relations more available for negotiation.
Post-AI art can work with this disorientation. It can follow a sentence through the hands and systems that altered it. It can let several voices occupy the same phrase without collapsing them into consensus. It can show revision histories, rejected outputs, prompts, interruptions, outside conversations, and the moments when someone said no. It can move the signature away from the fantasy of solitary creation and toward an account of participation.
The account will still be incomplete.
Some lines of influence cannot be reconstructed. Some forms of influence leave no record. Some people’s words, images, and lives entered the system without their meaningful consent. Some absences must be made visible; others have a right to remain opaque.
Authorship should not become an infinitely expanding credits list that gives everyone a mention and no one an obligation.
Follow the power.
Who could change the system?
Who could refuse its terms?
Who receives credit?
Who receives payment?
Who bears the consequences when the voice is wrong—or when it does harm?
Who gets to say, “I did not agree to speak as part of this we”?
This post is also caught inside the problem it describes. The machine helped me find its structure. It reflected language from the manifesto back to me. It carried ideas from a research proposal into another register. It may have made the movement between those contexts seem more coherent than it felt while I was making it.
Still, it will not publish this piece.
It will not answer a reader who objects.
It will not repair a claim that causes harm.
It will not carry the consequences of my signature.
I remain responsible for what I present here. That sentence does not deny the agencies that helped produce the work. It names the asymmetry among them.
We wrote a manifesto.
I published it.
Between those sentences is not a contradiction to solve. It is an arrangement to keep perceptible: many voices, unequal positions, a collective utterance for which responsibility cannot simply be shared until it disappears.
Who is speaking when we speak together?
We should listen for more than one answer.
Then ask who must answer for what is said.