Why the AI era calls for practical hope rather than doom or hype — and the question, from a seventh grader, that set the course of this book
Space, the final frontier.
That line sent a generation looking up. I was one of those kids — Huntsville, Alabama, the son of a rocket scientist and a creative artist, in a city whose entire identity rested on a single proposition: that human beings could be sustained inside systems of extraordinary complexity, if you got the engineering culture right. Huntsville built the Saturn V. Huntsville helped put people on the moon. Nearly everyone’s parents worked on some piece of it. The dream was in the water.
Then, on a clear cold morning that happened to be my sixteenth birthday, a teacher came into my Algebra and Trigonometry class to tell us. Just over a minute after launch, the space shuttle Challenger had broken apart over the Atlantic, all seven aboard lost, a schoolteacher among them. I remember his face more than anything he said. My school was Virgil I. Grissom High, named for Gus Grissom, one of the first Americans in space — who had himself died on a launch pad, nineteen years earlier, in the fire that killed the crew of Apollo 1. I thought about that on the morning of the shuttle. I have thought about it often since.
It took me years to understand what I had watched. Challenger’s failure was both technical and institutional. The cold compromised a critical seal; engineers had warned about the conditions, and the launch decision went ahead. The Rogers Commission documented failures in communication and decision-making as well as in the hardware. Engineering culture includes what happens to a warning after someone has the courage to give it.
That is the oldest pattern there is, and it is not really about rockets. Powerful systems get built faster than the institutions meant to hold them, and the people closest to the consequences are rarely the people whose voices reach the rooms where the decisions get made. The capability arrives; the accountability lags; and what was obvious from inside the work becomes clear to everyone else only when it is too late to prevent. The current instance of the pattern is artificial intelligence, and this time the system in question is the one we all live inside.
Buckminster Fuller called this planet a kind of ship — Spaceship Earth, a closed vessel with no operating manual, carrying all of us together whether we understand the controls or not. The image has never been more exact. We are all aboard the same capsule, and this time the capsule sits on a launch pad of our own making: artificial intelligence, lighting its engines whether we chose to board or not. No one gets to stand outside this one and watch it go. Human lives are at stake, and not abstractly — the design of the systems we are about to depend on will decide who gets to thrive and who is left behind.
I didn’t come to this as a technologist. I wrote a computer program in middle school — to roll up Dungeons and Dragons characters for my friends — and a few years later I was working as a student representative for Apple. But my working life has not really been about the machines. It has been about the institutions people depend on, and whether they are built so the people inside them can thrive: schools, a federal agency, a citywide learning network, the public systems that quietly decide who gets to adapt and who gets left behind. Thirty years of that taught me the pattern I first saw at sixteen — capability outrunning the institutions meant to hold it — and taught me that the place to answer it is not the laboratory but the civic substrate itself: the public systems, the social contracts, the pathways to opportunity that determine whether people can adapt, work, and thrive.
So instead of charting a way into outer space, I find myself charting a way into Spatia. That word is the reason this book carries the title it does, and the difference between the two destinations is the whole of the point. The dream I grew up on pointed up and out — to orbit, to the moon, eventually to Mars. But we can’t eat Mars rocks for dinner. There is no Plan[et] B. Whatever we manage in space, the overwhelming majority of human beings will live their whole lives on this planet, and the urgent problem in front of us is not how to leave it but how to live here, well, alongside an artificial intelligence we are building faster than we are learning to govern it. Spatia is the name this book gives to the emerging civic realm of the real-world metaverse, where AI, spatial computing, and ambient technology blend into the places people actually live. We aren’t headed to space. We are headed into Spatia, the world we already call home, with a new kind of mind loose inside it.
The launches I grew up watching pointed away from the Earth; the journey this book is preparing for points back into it. The groundwork I have been laying is for a future in which people are represented by their own AI agents, as a counterbalance to corporate AI: AI Reps for digital personhood. And I have ended up in a particular gap. The people who care most about justice, dignity, and children often do not fully see what is coming technically. The people who understand the technology and the capital flows often do not care enough about justice to change course. I have spent my career in the space between them, and this book is written from there.
The AI Club
I taught a four-month AI elective to a class of fifth- through eighth-graders. The process that led me there started a few years earlier, and not with the technology.
The framework became DOTES: Do, Observe, Tell, Explore, Show. It gives a learner five ways to work with an experience: describe what happened, notice what mattered, tell the story, explore what it might mean, and show evidence. The point was to help young people recognize and communicate their learning, including the learning no transcript records.
In early 2023, before ChatGPT was a household word, I asked the educators I was working with whether I could show it to a few of their students. I had ChatGPT write a story — using the students’ real first names — about a group of teenagers from their school who take command of a rogue AI superintelligence that has gone haywire. They gasped out loud as the words scrolled up my laptop screen. I had done the impossible: I had impressed a room of middle schoolers.
Then I asked them: wouldn’t it be better if you controlled what went into this, so the story it told about you was true?
A seventh grader named Camila asked, “So we can have our own AI?”
Yes, I said.
We want that, they told me. That is how the AI Club class came to be: thirteen urban students, fifth through eighth grade, four afternoons a week, four months. Her question is the one this whole book is still trying to answer. Not theirs. Not the platform’s. Not the school’s. Ours.
It met during the first school year after ChatGPT — the year the teachers had already renamed it CheatGPT. The students worked out where things were heading faster than the adults did. We can’t believe what we see online anymore. If the AI does the work, we’re not the ones learning. The jobs are going to disappear. How are we going to make a living? A few weeks in, the mood was grim. The teachers were fixed on students using AI to cheat on assignments; the students could see that Big AI was preparing to cheat them out of a future.
One afternoon a fifth grader named Henry stayed behind, visibly upset.
“Are you okay, Henry?”
“I want to go live in the woods.”
He was not joking, and he was close to tears. He had worked it out: the machines would keep getting better, the work would keep getting scarcer, and the explanations the adults were offering were not going to hold. The woods, at least, were real. I told him we were going to get through this. There is a pathway to getting AI under our control, I said, and we are going to get through this.
I meant it. In the years since, that promise has taken on a name—Gameshow—and a proposed shape: a practice for helping people turn experiences into records they can review, carry, and use with an AI representative of their own. The complete system does not yet exist. This book is the long version of what it would take to make the promise true, for Henry and for every kid who has arrived at the woods.
When I later asked those students what I should do differently if I taught the class again, they were unanimous: start with TACOCAT. It was the map I had drawn for them — a palindrome, the same read forward and backward, which delighted them more than any other lesson I have ever planned. A silly cat that is secretly a journey — read its letters in order and the whole thing unfolds. Technology Tools, the ones already in play, grow into AI Agents. The agents need a place to belong, so they gather into Community Cooperatives. These cooperatives propel us into an Opportunity Orbit — room to learn, to build, to take part. Then the path turns civic: that participation has to be held by durable structures of self-rule and shared wealth, the Cyber Commonwealths (Cyberwealths), and those hold only if the intelligence inside them is Accountable AI.
And TACOCAT reaches its aim at the far end on Terraform Technology — not terraforming an uninhabitable foreign planet but reshaping the artificial intelligence we are building until it is something humans can actually live with here on Earth. A new ecology for AI; one that doesn’t hinge on the centralized systems. A counterbalance. That last step is the whole reason the destination is Spatia and not space. TACOCAT is the friendly version of this book’s argument, the one you can hand a seventh grader, and I plan to develop it in a separate TACOCAT field book. This book is the other thing society needs: the detailed plan that expands upon the friendly pathway.
Practical hope
What I told Henry is the stance of this whole book, and it is worth being plain about what it is and is not. It is not doom. The genre of AI catastrophe — the machines arrive, the humans lose, nothing can be done — is its own kind of surrender, and it is not true to what I have seen in the work. Nor is it acceleration, the faith that if we simply build faster the good future will arrive on its own. Both are ways of letting go of the wheel: one by despair, one by momentum. What I am offering instead is practical hope — the conviction that there is a pathway, that it can be built, and that it gets built the way real things get built: in actual places, by actual people, with institutions and tools and agreements we can put our hands on now. Not hype, not panic. Hope with a method.
A guide should help your judgment work. I want to put the proposals in your hands clearly enough that you can question them, try parts of them, and decide what deserves building.
I have been over some of this ground — not all of it. Others will go further than I have, and a few will write back from places I never reach. What I can hand you is what a guide hands the next traveler: the equipment a person needs to stay a person in the company of intelligent systems, the practice through which that equipment becomes participation, and the territory in which the participation can hold. Those are the three movements of this book.
A departure from the course we are on
There is a second meaning hiding in the word departure, and this book intends both. One is the departure of a journey beginning — the expedition this guide was written to outfit. The other is older and sharper: a departure from a heading, a turning away from a course that is carrying us somewhere we should not go. This is the inflection point; the moment a trajectory either bends or hardens into fate. We are being asked to depart, on purpose and while there is still room to steer, from a set of systems, concepts, and agreements that have quietly stopped serving the people living inside them.
The unease people feel about all of this is not irrational, and it deserves to be said plainly. People are afraid that AI will take their work and hollow out whatever bargaining power they had left; that its hunger for power and water will be charged to a planet already under strain; that human agency will erode until the choices that shape a life are made by systems no one can see or question; that the shared spaces where we talk to one another will fill with synthetic slop and deepfakes until no one can tell what is real or who is speaking; that the people least able to defend themselves — children, the elderly, anyone already vulnerable — will be the easiest to deceive and the first to be harmed. These are the worries of a public watching power and information concentrate faster than any protection for the people on the other end. They are not reasons to despair. They are reasons to change course.
What the turn calls for is a new standard of universal design for our digital networks — a baseline built to preserve and strengthen human agency, security, and opportunity for everyone, by default, the way curb cuts and closed captions stopped being special accommodations and became simply how things are made. It is an overdue counterbalance: a deliberate, structural rebalancing against the concentration of economic and informational power that the past two decades poured into very few hands. Spatia is the name for the place that counterbalance builds toward, and this book is the plan for getting there.
And the counterbalance does not begin with a manifesto or a regulation. It begins with something almost embarrassingly simple: a system, a game, a way for ordinary people to tell their stories — for school, for work, for life — and in the telling to build friendships, strengthen the relationships they already have, and work their way through conflict. That is the seed of learning, of economic opportunity, and of shared self-government, and at bottom it is a pathway from conflict toward peace. I first learned to see it that way from Dr. Dudley Weeks, my conflict resolution and peace studies professor in college, whose method begins with the relationship rather than the dispute. It returns, in the end, to the oldest questions a person or a people ever asks — Who am I? Who are you? Who are we together?— and to whatever language each of us uses to name our relationship to something larger than ourselves, and the individual and shared purposes that come from it. A book about artificial intelligence turns out to be, underneath, a book about those questions. It could not have been anything else.
The contracts that no longer serve
Our digital lives depend on agreements about employment, privacy, credentials, platform participation, and the use of personal information. Many provide too little protection or bargaining power for the people whose work and experience make AI useful. The AI economy is putting those weaknesses under new pressure.
You can see it in ordinary life. People stopped answering their phones. They stopped opening messages from numbers and addresses they did not recognize. They stopped believing what they saw and heard, because it could no longer be traced to anyone who had actually said or shown it. Deepfakes are one symptom; the condition is larger. It is the texture of moving through a day on the assumption that most of what reaches you is meant to act on you — without your consent, by parties you can’t identify, for reasons you can’t check. A contract that depends on the parties recognizing each other has stopped working when no one can tell who is who. Part of what this book and its proposed architecture take on is restoring the conditions under which a person can know whether they are dealing with another person, a Rep, or a bot — without giving up the privacy that makes a person a person. Verification and privacy are not opposites. They are paired, and together they are what makes trust possible again in everyday exchange.
The work includes reforming existing agreements and creating institutions for obligations they do not yet carry. Credit unions, mutual-aid societies, and public broadcasting offer precedents for organizing a service around purposes a conventional market underserves. Each required practices, funding, rules, and legal form. The AI era asks us to undertake that constitutive work again, beginning where people actually live.
The shape of the book
Three questions organize the book. Who does intelligence represent? Where does it live, and on what terrain? Who owns what it produces? Each question gets a trilogy of essays, joined by chapters that connect the proposals to their origins and to the work of building them. The technical passages identify design requirements and research questions; they are not specifications for a finished system.
Read it straight through and it moves from departure to equipment to terrain to ownership, each part setting up the next. Or start anywhere. A skeptic might begin with a bridge chapter and work back into the trilogy it spans; a builder might begin with Representational AI; a teacher might begin with the chapter on learning. The pieces stand on their own. The guide is what turns them into a journey.
This book is an act of learning. An act of becoming. The written word is among the oldest gifts we have for doing that together — for working out, in the company of others, who we are and who we are becoming. That is what it was always for, and it is the spirit in which I offer what follows.
I’m not a thing to be stored, but a story in motion. I emerge through what I do, observe, tell, explore, and show—through the DOTES that shape my journey and the journeys I share with others. My AI Rep is not me. It may carry traces of where I have been, but it cannot define where I will go. My story is unfinished. Each Dote should be both a record of what I learned and an invitation to learn again.
The pathway in these pages began with an ordinary aim: helping young people connect learning across schools, communities, and the places they already lived. Learners needed ways to tell their stories. Educators wanted to cultivate agency. Agency required control over the records of learning, and that question led beyond education into the institutions our digital lives depend on. I followed it there. The journey became this book.
This is an invitation to help build human standing in the AI era: the practical means by which ordinary people gain a voice, enforceable rights, and a share in the systems shaping their lives. It needs readers, collaborators, builders, and witnesses. If you want to take part, I would like to hear from you at Michael {at} intospatia {dot} xyz.
The teacher came in to tell us the shuttle had broken apart. Forty years later — for Henry, for Camila, for every kid who has done the math — this is the work I am still trying to do.
Sources
Presidential Commission on the Space Shuttle Challenger Accident, Report to the President (1986), especially the findings on the failed joint and launch decision. NASA: https://history.nasa.gov/rogersrep/genindex.htm
Diane Vaughan, The Challenger Launch Decision: Risky Technology, Culture, and Deviance at NASA (University of Chicago Press, 1996) — the standard sociological treatment of how an institution normalizes a known risk; the source for the account of capability outrunning accountability.
Mizuko Ito et al., Connected Learning: An Agenda for Research and Design (Digital Media and Learning Research Hub, 2013) — the framework behind the learning work this chapter draws on, and the inheritance the DOTES framework and the AI Club operated in.