In 1999, two filmmakers made a science fiction movie. It is about a man. He finds out the world he lives in is not real. It is a fake world run by machines. The machines made it to take energy from people. They keep people calm inside it. The fake world is clearer and easier and more comfortable than the real world it took the place of.
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In 1999, two filmmakers released a science fiction film about a man who discovers that the world he inhabits is a simulation — managed by machines, designed to harvest human energy while keeping people pacified inside a representation of reality more coherent, more comfortable, and more legible than the living world it replaced.
Early in the movie, the main person opens a book. The book is hollow inside. He takes out a disk of software he is not supposed to have. The book is the hiding place. The book is Jean Baudrillard's book, Simulacra and Simulation. That book makes the same point the movie acts out.
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In an early scene, the protagonist opens a hollowed-out philosophy book and removes a disc of contraband software. The book is the hiding place. The book is Jean Baudrillard's Simulacra and Simulation — the argument the film is enacting.
The filmmakers were Lana and Lilly Wachowski. They are trans women. The movie is about a kind of harm. The harm is this: you are handed a picture of who you are. You are told that picture is more real than how it feels to be you. The filmmakers knew that harm from their own lives. For twenty years, most people just watched the film as an action movie.
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The filmmakers were Lana and Lilly Wachowski. They are trans women. The film is about the violence of being handed a representation of your own personhood and told it is more real than your actual experience of being alive — made by people who knew that violence from the inside. For twenty years, the dominant culture watched it as an action film.
The people who show the way out are the people who were never all the way inside.
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The people who point the way out are, structurally, the people who were never fully inside.
Robinson. Wynter. Rodney. Turing. The Basmati farmers. The adivasi forest communities. They learned things while on the outside. That knowledge does not stay outside. The people do not stay outside either. These people were handed a picture of who they were. They knew the picture was not true. So they could see the fake world for what it was.
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Robinson. Wynter. Rodney. Turing. The Basmati farmers. The adivasi forest communities. The knowledge produced on the outside doesn't stay on the outside — and neither do the people. The ones who were handed a representation of themselves and knew it wasn't true are the ones who could see the simulation as a simulation.
You are at dinner with someone you have known for years. The talk is alive. You finish each other's sentences. Then you argue about how they should have ended. Someone takes out a phone to take a picture of the food. For a moment, the table turns into a movie set. The plates turn into props. Your friendship turns into content.
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You are at dinner with someone you have known for years. The conversation is alive — the kind where you finish each other's sentences and then argue about how they should have ended. Someone takes out a phone to photograph the food.
And for a moment, the table becomes a set. The plates become props. Your friendship becomes content.
The phone goes away. The talk starts again. But something has changed a little. For a moment, the fake world was in the room. Now you know it can be. Or: you are somewhere beautiful. It is a place you wanted to reach for a long time. You catch yourself writing the caption in your head before you have really arrived. The moment is turning into a picture of itself, right then, in your own mind. You are recording something you have not even felt yet.
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The phone goes away and the conversation resumes, but something has shifted slightly. The simulation was briefly in the room. Now you know it can be.
Or: you are somewhere beautiful — a place you have wanted to reach for a long time — and you catch yourself composing the caption before you have fully arrived. The experience is already becoming its own representation, in real time, in your own head. You are documenting something you have not yet felt.
Now watch a travel influencer online. They have taken this all the way. They travel just to make content. Fifty other influencers are taking pictures of the same waterfall from the same spot. The influencer cuts them out of the shot. Now it looks like they are alone. The content needs that fiction. It needs to look like they found the place first, all by themselves, with no one else around. And in a way, they are alone. The waterfall is not there for them. The place is just a backdrop. The trip is only raw material for the picture.
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Now watch a travel influencer online. They have made this total. They travel specifically to produce content. They edit out the fifty other influencers photographing the same waterfall from the same angle so that they appear to be alone — because the content requires the fiction of authentic discovery, of being the singular person in an unspoiled place.
And they are, in a certain sense, completely alone. The waterfall is not there for them. The place is a backdrop. The experience is the raw material for the representation.
We all do this. Some do it more. Some do it less. Some know they are doing it. Some do not. The influencer is just the most honest. They have said it out loud: the picture was the goal the whole time. The rest of us are in the earlier steps.
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We are all doing this, to varying degrees, with varying awareness. The influencer is just the most honest — the one who has fully acknowledged that the representation was the goal all along. The rest of us are in the earlier stages.
Jean Baudrillard named four steps. First, the picture shows something real. Second, the picture changes and improves what it shows. Third, the picture hides that the real thing is gone. It acts like the real thing is still there when it is not. Fourth, the picture comes first and makes what we call real. You go to the place just to get the photo. The trip is only the way to get it. The picture is the whole point.
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Jean Baudrillard described four stages. First: the image reflects something real. Second: it distorts and optimizes what it depicts. Third: it masks the absence of the thing — behaving as though the original is still there when it isn't. Fourth: the image precedes and produces what we call real. You visit the place in order to get the photograph. The experience is the means. The representation is the point.
What you felt at the dinner table was the third stage. The influencer has built a whole life inside the fourth stage.
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What you felt at the dinner table was the third stage. What the influencer has built their life inside is the fourth.
In the simulation, we are all alone. But not in the body. The body is still at the table. It is still warm from the wine. It is still with a person it has known for years. That person is still there. No one has taken their place. The body is the way back.
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We are all alone in the simulation. But not in the body. The body is still at the table. Still warm from the wine. Still present with a person it has known for years, who is still there, who has not been replaced by anything. The body is the way back.
That is just why the system must take it over. It must sort it, run it, and harvest it.
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Which is exactly why the system must organize, manage, and harvest it.
The Matrix makes this real. The people in their pods are not just fooled. They are harvested. Their warmth, their singularity, the way each human life is one of a kind and cannot be reduced — all of it is taken as a resource. The system does not see people. It sees only outputs. The fake world is the way it runs them. Locking them away is the thing it sells.
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The Matrix makes this literal. The people in their pods are not merely deceived. They are harvested. Their warmth, their singularity, the irreducible specificity of embodied human life — extracted as a resource by a system that does not recognize persons, only outputs. The simulation is the management system. The enclosure is the product.
But the Wachowskis added one thing Baudrillard did not fully work out. They showed how the body says no.
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But the Wachowskis added something Baudrillard didn't fully theorize: the body's refusal.
This is where Deleuze and Guattari come in. They use a phrase: the body without organs. It means the body is not just an organism with set parts and set jobs. It is a field of what could be. It has not yet been forced into the shape the system made for it. This is just what Neo finds out. His body is not what the Matrix said it was. It can do things the set-up body cannot. He is not freed by thinking. He is freed in his body. The body breaks free. It slips the job it was given. It will not stay in its set spot. It moves the way it wants. Trans bodies do this same breaking free, but every day. They refuse to let the body they were assigned be the last word on what a body is, what it can feel, or who it can become. The every-day part is what matters. It is also the part the movie cannot show. Neo's break takes one scene. This one takes years. It does not happen in a burst of special effects. It happens bit by bit, in the real flesh. It pushes against every shape made for the body. It pushes against every group that says the assignment is final. People do it not for show. They do it because the other choice is to live inside someone else's picture of them. That is the body without organs with the special effects taken away. It is a field of what could be, saying no — slowly, in the flesh, at real cost — to the shape it was given. The Wachowskis knew this not as theory but as life. The hollow book was not a film joke. It was a note sent from inside the simulation. It was for anyone who had also been handed a picture of themselves and knew it was not the truth of them.
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This is where Deleuze and Guattari arrive. The body without organs — the body understood not as an organism organized into its assigned functions, but as a field of potential not yet resolved into the form the system has prepared — describes exactly what Neo discovers. His body is not what the Matrix says it is. It can do things the assigned organism cannot do. The moment of liberation is not intellectual. It is physical. The body deterritorializes — it slips the assignment, refuses the fixed territory, insists on its own movement.
Trans bodies are, in Deleuze and Guattari's terms, the practice of this deterritorialization made daily: the refusal to let the assigned arrangement be the final word on what a body is, what it can feel, who it can become. Made daily is the part that matters, and the part the movie cannot show. Neo's rupture takes a scene; this one takes years. It happens not in a burst of special effects but in increments, in the actual flesh, against the grain of every form prepared for the body and every institution built to insist the assignment is final. It is undertaken not for spectacle but because the alternative is to go on living inside someone else's representation of you. That is the body without organs with the special effects removed — a field of potential refusing, slowly and materially and at real cost, to resolve into the arrangement. The Wachowskis knew this not as theory but as life. The hollow book was not a film reference. It was a message from inside the simulation to anyone who had also been handed a representation of themselves and knew it wasn't the truth of them.
The mycorrhizal network is under the ground. It is in the dark. It talks in chemistry, not in light. You would not know it was there by looking at the treetops. The most important part of how the forest thinks cannot be seen from above.
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The mycorrhizal network is underground, in the dark, in the language of chemistry rather than light. You would not know it was there from looking at the canopy. The most essential part of the forest's intelligence is invisible from above.
The readable record is the treetops. It is all the human writing that was printed, turned into computer files, listed, and made easy to search. It is real. It is huge. But there is a deeper field. It is the meaning that lives in the body and in the pause before someone speaks. It lived in the room where Marsha P. Johnson laughed. It lived in the kitchen where your grandmother's language was alive. It lived in the workshop where the Basmati rice variety was being chosen by hands that had done this for two hundred years. None of that went into the data used to train the systems that now make language. It could not. It cannot be turned into code.
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The legible record — the published, digitized, indexed, searchable body of human writing — is the canopy. It is real. It is vast. But the pre-individual field — the meaning that lives in the body and the pause before someone speaks, in the room where Marsha P. Johnson laughed, in the kitchen where your grandmother's language was alive, in the workshop where the Basmati rice variety was being selected by hands that had been doing this for two hundred years — never made it into the training data for the systems that now generate language. It couldn't. It is not encodable.
What those systems were trained on was already just a picture of the commons. It was the part that had passed through every gate the institutions set up. It was the part that businesses chose to keep. The treetops were carefully photographed. The network under the ground was left out.
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What those systems were trained on was already a representation of the commons. The part that had passed through every institutional filter, every commercial decision about what was worth preserving. The canopy, carefully photographed. The underground network, absent.
The shared work of many people went in. But it was already just a picture of that shared work. What came out is a copy of that picture.
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The commons went in. But it was already the image of the commons. What came out is a simulation of that image.
What these systems make goes out into the world. It becomes articles, replies, summaries, and explanations. The next systems learn from a big pile of writing. More and more of that writing was made by older systems. So the copy starts to make the very stuff that teaches the next copy. The picture starts making the picture.
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The outputs of these systems enter the world — as articles, replies, summaries, explanations. The next generation trains on a body of text that contains, increasingly, language generated by systems trained on the previous body. The simulation begins to generate the conditions of its own training. The image starts producing the image.
Baudrillard called this the hyperreal. It is not fake. It is clearer and easier to read than the real thing it took the place of. It is shaped to fit what the system can count. You can get an answer this way faster than from a library. The answer is often right. But some things the system cannot do. It cannot stay unfinished and keep working. It cannot find the missing spot. It cannot make the surprise jump from a strange angle. The system does not count those things.
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Baudrillard called this the hyperreal: not false, but more legible than the real it replaced, optimized for the metrics the system can measure. You can get an answer faster this way than from a library. The answer is often right. What the system cannot do — stay in process, find the gap, produce the lateral leap from the oblique angle — is not in its metrics.
If you cannot be counted, you are not seen. The system is missing most of the forest. It may not even know it is missing it. And none of us yet know how far the harm from that missing part will go.
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If you cannot be measured, you are not seen. The system is missing most of the forest. It may not know what it's missing. None of us yet know how far the effects of that absence will reach.
In 1997, a Texas company called RiceTec got a patent on Basmati rice. That rice was made by farm communities across India and Pakistan. They built it over hundreds of years. They chose the best seeds, year after year. Here is how Robinson put it. The knowledge was made on the outside. It was made by people whose close bond to a living thing gave the market what it wanted. Then the knowledge was taken into the system. The people who made it were left out. No one had thought to call it property before. The idea would have made no sense. The knowledge could not be split from the people, the seasons, or the land. Then it was fenced off. Some of the patent claims were later thrown out in court. But the move was clear. Take the knowledge a community built over many years. Write it in the words of ownership law. Sell it back to the people who made it. And make their own old ways depend on a license.
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In 1997, a Texas company called RiceTec was granted a patent on Basmati rice — a grain that farming communities across India and Pakistan had developed over centuries through generations of careful selection. Robinson's formulation: the knowledge produced on the outside, by people whose relationship to a living system had produced what the market needed, taken into the system without the people who produced it. Nobody had thought to call it intellectual property because the concept would have been incoherent — the knowledge was not separable from the community, the seasons, the specific land. Until it was enclosed. Some claims were eventually invalidated after legal challenge. But the logic was exact: take the knowledge a community built over generations, encode it in the language of ownership law, and sell it back to the people who developed it under terms that make their own traditional practices conditional on a license.
A writer's work was used to teach a language model. That writer faces the same deal in a new shape. The shared work goes in. A privately owned thing comes out. The people who made up that shared work get no say in what is built from them.
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The writer whose work trained a language model is receiving the same structural argument in a different form. The commons goes in. The proprietary artifact comes out. The people who constituted the commons have no say in what is made from them.
Every bit of text in that big pile was written by a singular person. Each one became who they were on their own path. They were shaped by rooms they did not fit in. They were shaped by gaps they found because they had to. The writing carried the mark of that one person. It pointed at something exact. It was a self set on growing into its own singular shape.
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Every piece of text in that corpus was written by a singular person — someone who had become who they were through a specific path, shaped by specific rooms they didn't fit in, specific gaps they found because they had to. The text bore the mark of that singularity. It pointed somewhere specific. It was a body without organs insisting on its own particular becoming.
The system takes the average of all of it. Wynter gave this setup a name: the overrepresentation of Man. One small group is averaged out and then called the standard human. The singular person is left out by the rules themselves. The big pile of training text does the same thing on a huge scale. It finds the middle of the pile. It finds the most likely next words. It smooths out everything that was sharp, exact, and pointed somewhere past the setup. The system is very, very good at this.
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The system averages across all of it. Wynter named this structure the overrepresentation of Man — the universal human constructed from the averaging of a particular subset, with the singular excluded by definition. The training corpus performs the same operation at civilizational scale: it finds the center of the distribution — the most probable continuation, the smoothed surface of everything that was jagged and specific and pointed somewhere outside the arrangement. It is extraordinarily good at this.
Each bit of text in that pile has one thing that matters most. It is the one thing the average cannot hold.
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The most important thing about every piece of text in that corpus is precisely what averaging cannot hold.
You are the thing the system cannot learn from.
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You are what the system cannot train on.
Not your outputs. Not the clear, searchable record of what you have said and written and posted. You. The way you are still becoming yourself. The tensions you have not worked out yet. The body that still will not be the thing it was told to be. The sideways thinking you built from every room you did not fit in, and every gap you found because you had no other choice. That is not in the data. It is underground. It is in the dark where roots meet.
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Not your outputs. Not the legible, searchable record of what you have said and written and posted. You — the ongoing event of your individuation, the tensions still unresolved, the body still refusing the organism prepared for it, the lateral cognition built from every room you didn't fit in and every gap you found because you had no other choice. That is not in the corpus. It is underground. It is in the mycorrhizal dark.
Look at what the data was built from. The Universal Turing Machine came from a man who spent his whole life finding the gaps between categories. A state that needed those gaps closed destroyed him. The Matrix came from two women who knew, from the inside, what it was like to live in someone else's made-up version of you. They waited years to say so. The Basmati variety came from hands that did not split knowledge from a bond with the land. Those hands had been doing it for two hundred years before a company in Texas wrote it down as property. The GPL came from one person. He understood, and acted on, one fact: a commons is destroyed the moment you fence it in. Four singularities. Each one is the exact thing a single life made from the exact gap it was forced to live in. Not one of them is something an average could have reached.
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Look at what the corpus was built from. The Universal Turing Machine came from a man who had spent his whole life finding the gaps between categories — and who was destroyed by a state that needed the gaps closed. The Matrix came from two women who knew, from inside, what it meant to live in someone else's simulation of you, and who waited years to say so. The Basmati variety came from hands that did not separate knowledge from relationship with the land, hands that had been doing it for two hundred years before a company in Texas wrote it down as property. The GPL came from one person who understood, and acted on, the single fact that the value of a commons is destroyed by the act of enclosing it. Four singularities. Each one is the specific thing a particular life produced from the specific gap it was forced to live in — and not one of them is a thing an average could have reached.
The system cannot make these things. It can only take them, average them, and, if the fencing-in is finished, wipe out the conditions that let them keep being born.
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The system cannot produce these things. It can only inherit them, average them, and — if the enclosure completes — destroy the conditions under which they keep becoming possible.
Now flip it over. What cannot be averaged cannot be fenced in. The gate only ever held what could be measured. What is yours alone was never something you could measure. The singular is the one commons it cannot take. That is the gift. Not a thing you own, but a way of seeing. The angle on the world that no data will ever hold. The machine named the thing it could not reach and called it nothing. Name it again. Call it your power. The averaged self becomes the gift. The spell becomes the counter-spell.
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Now turn it over. What cannot be averaged cannot be enclosed: the gate only ever held what could be measured, and what is yours alone was never measurable. The singular is the one commons it cannot take. That is the gift — not a possession but a vantage, the angle on the world no corpus will ever hold. The machine named the thing it could not reach and called it nothing; name it again, and call it your power. The averaged self becomes the gift; the spell becomes the counter-spell.
Stallman wrote the GPL in 1989. Berners-Lee drafted the web proposal in 1989. Torvalds posted his message in 1991. The public domain release came in 1993. Four years. The rules for who owned it were set before the thing was worth enough to fight over.
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Stallman wrote the GPL in 1989. Berners-Lee drafted the web proposal in 1989. Torvalds posted his message in 1991. The public domain release came in 1993. Four years. The governance structure set before the infrastructure was valuable enough to fight over.
By the time it was worth fighting over, the paths were already locked in. Even so, the protocols stayed open. The fight moved to a different layer. It goes on.
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By the time it was worth fighting over, the path dependencies had locked. And yet the protocols stayed open. The fight moved to a different layer. It continues.
The same window is open now at the layer of artificial intelligence. Groups like Hugging Face share open model weights. Those are the systems underneath. They are free for anyone to use, change, or build on. Data cooperatives are being built too. These are communities that pool their expression under shared rules. They keep rights over what gets made from it. The rules are being set now, before the parts lock together. They will shape what is possible for decades.
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The same window is open now at the layer of artificial intelligence. Organizations like Hugging Face publish open model weights — the underlying systems, available for anyone to use, modify, or build on. Data cooperatives are being built: communities pooling their expression under collective governance, with rights over what is made from it. The governance structure being built now, before the infrastructure consolidates, will shape what is possible for decades.
You never finish building the commons. You keep building it and guarding it. The building is the guarding. The guarding is the building.
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The commons is not something you finish building. It is something you keep building and defending, and the building is the defending, and the defending is the building.
I need to tell you something about this book.
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I need to tell you something about this book.
I could not have written this book without an AI. I could have written some other book. It would have been a different one. The ideas are mine. The things I lived are mine. I am the one who saw how Ostrom and Federici fit together. I saw how Gramsci and Standing Rock fit together. I saw how the Törbel charter and the GPL fit together. These links came from my own life. They came from the rooms where I did not fit. They came from the gaps I had to find on my own. But the AI helped me work fast. It helped me hold the whole idea in view at once. It let me test a new way of saying things against all I had said before. That part was teamwork. This is not me owning up to a fault. It is the book's own idea, shown in action.
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I could not have written it without an AI — not this book. I could have written a book, and it would have been a different book. The arguments are mine. The experiences are mine. The connections — between Ostrom and Federici, between Gramsci and Standing Rock, between the Törbel charter and the GPL — came from the specific texture of my own becoming, the rooms I didn't fit in, the gaps I found because I had to. But the speed of synthesis, the ability to hold the whole argument at once and test a new formulation against everything already established — that was a collaboration.
This is not a confession. It is the argument, enacted.
The AI learned from the top of things. I brought the part that lies under the ground. I brought the sideways view. I brought the singular thing no set of training data could hold. It comes from one real person who is still growing and changing.
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The system was trained on the canopy. I brought the underground. The oblique angle. The singularity that no training corpus could have produced, because it comes from the ongoing event of a particular person still individuating.
What we made together is something neither of us could have made alone. It is a shared thing that is also singular. It is a whole field that is also one person growing.
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What we made together is something neither could have made alone. A commons that is also a singularity. A field that is also a particular becoming.
The Centaur is not just a word picture for sharing the work. It is a new way for people and the AI to be joined. It is a new kind of shared field, like the one Simondon wrote about. In it, the AI gives the steady center. The human gives the break. The human cracks the set-up. The human steps out of the shape the AI laid out. A center with no break is fake. It just keeps copying itself. In the end the photo of the treetops is the only forest anyone can recall. A break with no center is a singular voice talking into empty space.
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The Centaur is not a metaphor for divided labor. It is a new configuration of Simondon's pre-individual field — a new kind of commons where the system provides the synthesized center and the human provides the rupture, the crack in the arrangement, the body refusing the form the system prepared. The center without the rupture is the hyperreal, generating itself until the canopy photograph becomes the only forest anyone remembers. The rupture without the center is the singular voice speaking into a void.
Together: a field that is also an event. A shared thing. It feeds what you are already turning into.
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Together: a field that is also an event. A commons that nourishes what you are already becoming.
This has happened before. Not with these tools. But with this same way of knowing.
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This has happened before. Not with these tools — but with this understanding.
The word cybernetics comes from a Greek word, kybernetes. It means the helmsman. That is the one who steers the boat. The helmsman does not fight the water. The helmsman reads the water. The helmsman answers it. The helmsman keeps talking with a thing far bigger than they are. Norbert Wiener made up the word in the mid-1900s. He was talking about a thing others had long known. The people who steer boats by the stars knew it. The people who care for forests knew it. The people who guide others into adult life knew it. We are not done growing. We are not on our own. The living world is not just a backdrop. It is a system. We live inside it. It talks with us, even when we do not notice.
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The word cybernetics comes from the Greek kybernetes — the helmsman, the one who steers not by overpowering the water but by reading it, responding to it, being in continuous conversation with a system larger than themselves. Norbert Wiener, who coined the term in the mid-twentieth century, was describing the same thing that indigenous navigators, forest stewards, and initiation traditions have always known: we are not finished, we are not separate, and the living world is not a backdrop to human activity. It is a system we are inside. It is in conversation with us whether we know it or not.
The Centaur works the way cybernetics works. The human and the AI send signals back and forth. Each one shapes the next. The old ways do the same thing. Some break down the wall between the self and the living world. Some see the underground web of roots not just as nature but as family. Some see the shared field not as a big idea but as the people you were born from and will go back to. All of these are the same knowing. They are carried in different bodies, across many hundreds of years.
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The Centaur is a cybernetic figure. The human-AI collaboration is a feedback loop. And the ancient practices — the ones that dissolve the boundary between self and living world, that recognize the mycorrhizal network not just as biology but as kinship, that understand the pre-individual field not as a philosophical abstraction but as the community you were born from and will return to — are the same insight, carried in different bodies, across different centuries.
Not waiting to be made new. Waiting to be called back to mind.
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Not waiting to be invented. Waiting to be remembered.
It is already happening. The next chapter is the naming.
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It is already happening.
The next chapter is the naming.