How new social contracts get practiced into existence when the old ones no longer hold, and why Gameshow is the bridge between Representational AI and Spatia
New contracts are not declared into existence. They are practiced into existence.
Late on a Saturday morning in a city convention hall, a high school robotics team is forming itself in real time. The match has just ended. The robot is back at the pit, its drive belt half off and its intake jammed with a piece of polycarbonate that had been somebody else’s bumper an hour earlier. A sophomore is kneeling with a multimeter. A junior is on the phone with a parent who is bringing replacement bolts. A mentor — a retired aerospace engineer who has been doing this for fourteen years — is squatting next to the controller, asking the questions whose answers are the team’s job to find. A freshman is taking notes. Around them, four other teams in identical match shirts move through identical sequences of repair, debrief, and rebuild, each in a slightly different idiom, each producing a slightly different community.
What is being built in that pit is not a robot. The robot is being built too. But the robot is the occasion. What is being built is the team — the role assignments, the trust, the language, the way conflict gets handled, the way credit gets distributed, the way newcomers learn what it means to belong. The robot will be obsolete in a year. The team’s way of being a team will travel with these students into colleges, jobs, marriages, civic obligations, and the next thing they build together. FIRST Robotics has been running this experiment for thirty-five years. The experiment is not that high schoolers can build robots. The experiment is that structured competition under genuine craft pressure forms durable communities at scale.
That is what social technology looks like when it works. It does not declare the community into existence. It creates the structured container in which the community practices itself into existence, week after week, until the practice becomes the community.
This chapter is about the social technology the AI era requires, and the claim is short to state. Old social contracts fail not by being declared invalid but by ceasing to do the work they were made to do, and new ones cannot be declared into existence either — not by white paper, by platform terms, or by manifesto. They have to be practiced into existence, rehearsed in structured containers where roles get tested, craft gets recognized, and agreements get pinned to evidence the participants can stand behind. Gameshow is the name this book gives to that social technology, and it is not a thought experiment but the distillation of more than a decade of work with technologists, teachers, and young people. Its three stages — Casting Call, Backstage, and the Arena — are where the work happens: Casting Call finds the voice, Backstage governs the memory, the Arena trains the representation. Play performed under serious discipline is constitutional work; authored memory plus social ritual produces the social fabric the AI economy has been depleting; and the bridge between Representational AI and Spatia is the practice through which an equipped person becomes a participant in arrangements adequate to the era — beginning from the recognition that there must first be someone there to participate.
The standing the web still needs
There is a deeper problem the robotics pit does not have to face, and the contrast is what makes it visible. In the pit, the people are unmistakably present. The sophomore with the multimeter is a person. The mentor asking questions is a person. The freshman taking notes is a person who will be a different person by the end of the season. Everyone in the pit exists, fully, as themselves, with memory and agency and standing in the small society the team is becoming. The pit is a place where persons are real.
The web recognizes accounts, devices, credentials, and many forms of legal identity. What it does not provide consistently is a person’s durable, portable standing across services: a way to be recognized, represented, and heard without surrendering control to each new operator. That is the gap this chapter addresses.
The Representational AI trilogy asks how a person can govern an account that software uses to represent them. Authorship, structure, and stable reference each contribute. The common question is whether the person can inspect, correct, and limit that account, rather than simply accept the version a service has assembled.
The phrase that has become a banner for the humane-AI movement — that we should build an artificial intelligence by, for, and of We the People — is empty until this is fixed. It requires, first, that the people exist. Not as profiles. Not as accounts. As persons, with the agency, memory, and standing that personhood means. The constitutive work this chapter describes is, at bottom, the work of bringing persons into existence in the digital realm, so that there is someone for the AI era to be by, someone for it to be for, someone for it to be of. A republic of accounts is not a republic. Gameshow is the pathway to the existence the phrase presupposes and the architecture has so far withheld.
The contracts that no longer work
A great deal has been written about which social contracts have failed, and the literature is not the work of this chapter. The point is briefer: several arrangements that organized adult life in the latter half of the twentieth century have ceased to do the work they were made to do, and the AI economy is the moment at which the failures consolidate.
The employment contract, for several decades, traded a particular kind of participation — show up, perform, be reviewed, accumulate skill — for a particular kind of return: stable income, professional standing, retirement, dignified work over time. The contract was always partial, excluding enormous categories of labor and held together by collective bargaining on one side and corporate paternalism on the other. The trade now looks different. Skills get extracted into training data without compensating standing. Careers compound less reliably. The professional class produces traces that improve systems that may weaken its own market — the pattern The Memory Glove described at length. The contract that was supposed to govern adult work has been quietly rewritten on terms most participants did not negotiate.
The privacy contract traded data disclosure for service access, with notice-and-consent as the legal fiction holding the deal together. Almost everyone now understands that the fiction is a fiction, and that opt-in is structurally coerced. Privacy law keeps evolving; the lived experience of being unable to opt out without losing essential participation has not. And privacy alone is too thin a category to carry what the spatial era requires. The contract through which most adults imagine their relationship to the systems collecting their data has lost its grip on the relationship it was supposed to govern.
The credentialing contract — that demonstrated competence translates into recognized standing, and recognized standing into participation — has become brittle for similar reasons. Degrees do less work. Credentials inflate. The pathways into professions that compound have narrowed. Platforms have not eliminated learning; they have substituted predicted match for the slow recognition that used to constitute belonging in a community of practice.
Reform can improve the platforms we have. We also need places to develop different agreements about representation, memory, and ownership. The question is how people begin practicing those agreements before a complete institutional system exists.
Contracts cannot be declared into existence
Agreements become dependable through practices as well as words. People identify the parties, establish what is authorized, record commitments, and provide ways to resolve disputes. Legal traditions have developed many forms for doing that; no single ceremony or technology is the source of all obligation.
For this project, the lesson is practical: a declaration of human agency has to be supported by procedures through which people can exercise it. Who can approve a record? Who can challenge it? Who can speak for whom? What happens when permission changes?
Play is constitutive work
The claim that play is the medium for this work is older than the AI era, and it is not loose talk. Anyone who has watched children invent a game in a backyard has seen it happen: they make up the rules, hand out the roles, argue the calls, and in the doing become a small society with its own way of getting along. Johan Huizinga’s Homo Ludens, written in 1938 as Europe was learning what happens when serious play gives way to serious propaganda, made the larger case — that play, in this strong sense of bracketed activity under agreed rules, is where culture itself gets made. A courtroom is a kind of play. So is a negotiation, a sport, a piece of theater, the procedure that turns a bill into a law, the apprenticeship that turns a beginner into a master. Each is a bracketed space where people do serious work under rules that hold inside the bracket and not outside it. Erving Goffman put it another way: ordinary social life is itself a performance under unwritten rules, and that is not a knock on it — performing the role is how the social fact gets made in the first place.
My own first encounter with this kind of constitutive work happened in middle school in Huntsville, when I wrote a small computer program to roll up Dungeons and Dragons characters for my friends. What the program produced was nothing special — die rolls, stat blocks, race and class tables read out of the player’s handbook. What happened next was the work. Each friend brought their generated character to life: a name, a backstory, a voice, things their character would never do and things their character was ready to risk. Then the characters met each other, and the social contracts of our table formed in the meeting. Who would betray whom. Who would protect whom. What kind of party we were going to be. The contracts did not exist before we performed them; they emerged from the play. The mechanism was small and the stakes were small, but the work was the same work this chapter has been describing. Children figure this out long before they are taught it. The Arena, in the framework that follows, is where this work scales: where characters come to life, meet others, and the contracts that will bind the meeting get formed in the meeting itself.
A game can create meaningful participation, and it can also be designed mainly to prolong engagement. Dating apps, feeds, and leaderboards vary in what they offer and reward. The question for Gameshow is whether its structure helps people learn, cooperate, and exercise judgment, including the judgment to stop.
The opposite of extractive engagement is not disengagement. The opposite is the bracketed structured activity in which agreements are formed under craft pressure with witness and consequence.
This is a pathway, not a thought experiment
It matters where a proposal like this comes from, because the AI era is full of proposals that came from nowhere — generated by models, sketched on whiteboards at mountaintop summits, extrapolated from first principles by people who have never sat in the room with the people the proposal is supposed to serve. Gameshow did not come from any of those places. It is the distillation of more than a decade of work with technologists, teachers, and young people, and it carries the marks of that work, including the failures. The theory in the preceding sections is a retrofit. The practice came first.
The approach draws on my experience helping young people tell stories about their learning. That experience suggests a starting point; it is not a controlled comparison establishing one interface as best. The next step is to test what people will actually use, with enough flexibility for differences in age, ability, language, and circumstance.
Conversation may make reflection easier for some people. Others will prefer writing, images, demonstrations, or help from a trusted adult. The design should let them reach the same reviewable record through different routes.
What Gameshow actually is
It is worth pausing the argument to say plainly what Gameshow actually is, because everything to this point has described what it is for. The Departure named it once, as the pathway — the coordinating function that assembles the memory a person authors into an AI Rep of their own. The Memory Glove introduced it as the entry point, the capture environment where the first Dotes get made. Here is the whole of it, in concrete terms.
Gameshow is my name for the proposed environment that brings this work together: people making meaning from experience, developing AI Reps, and deciding how those Reps may act. A season gives the work a shared rhythm. Dotes give it an authored record. Challenges make the quality of representation visible. Participants help shape the tools and agreements through what they discover together.
One useful way to understand the practice is as a cyber range for AI: a bounded setting where people can build, try, challenge, and repair the AI that represents them. Here the tests concern faithful representation as well as protection. Did the Rep understand the experience? Can it show what supports its answer? Does correcting an account change the conclusions it draws from it? Will it protect a confidence, recognize uncertainty, and stop at the limit of its authority? These questions give communities a way to evaluate both early prototypes and new approaches to semantic representation. People learn to represent and protect themselves by making the questions concrete.
I sometimes call this an operating system for participation. That is an institutional metaphor, not a claim that Gameshow replaces a computer’s operating system. It would coordinate records, permissions, relationships, and opportunities while leaving room for different tools and service providers.
Gameshow needs to begin in a particular physical community, with a specific network of people connected through the places and activities of their lives. A school, library, workshop, or community organization might provide a gathering place. Teachers, families, mentors, neighbors, and local partners might bring different parts of the network together. The setting can vary. What matters is that there are people who can invite one another, return to shared work, and answer for the commitments they make.
That is partly how the practice can take hold. Someone recognizes an experience worth reflecting on, asks a useful question, or sees where a person could contribute next. Existing relationships give those invitations context; repeated work can create new relationships across institutions that seldom act together. A network of registrations would tell us much less about whether people had acquired that capacity.
It is also part of what Gameshow is for. Reembodying digital life means bringing memory, representation, and judgment into closer relation with bodies, places, and people who share consequences. The digital record should help someone return to the workshop, take part in the neighborhood, or enter a new opportunity with greater agency. Physical community is therefore more than a launch strategy. Strengthening our ability to live and act together there is one of the goals.
This leaves room for communities to choose their own form. The first season could grow around a project already underway, with Dotes made in conversation, on paper, or through simple digital tools. Remote participation can sustain relationships between meetings and connect people across places. No particular city, device, or finished app is a prerequisite. The first commitment is to an actual human network and work that matters to it.
The permanent record should contain only what the participant has approved for that purpose. A prototype must also account for temporary recordings, transcription, logs, backups, and any model provider’s retention. “Private” cannot mean only that something is absent from a public profile. It must describe what the whole service actually does with the information.
Young people need meaningful participation and developmentally appropriate protection at the same time. A pilot must make the roles of the young person, family, facilitator, and service operator clear. It should minimize collection, keep sharing narrow, and make refusal possible without excluding a child from the underlying learning opportunity.
Young people need a voice in those decisions, with adult roles that are clear and accountable. The community should decide how a mentor gains access, where a concern goes, how a disputed account is handled, and how permissions change as a participant becomes more independent. Refusing to share a personal record should not cost a child the underlying learning opportunity.
Strip away the vocabulary and Gameshow is simply the way a community figures things out together and keeps learning. That is the whole of it: a structured place where people work out who they are, who they are becoming, and how they will act together, and keep doing it as the conditions change. The instruments are new, but the activity is the oldest one there is. Everything that follows in this chapter — the three stages, the covenants, the rotation — is the detailed design of that one plain thing.
Gameshow’s three stages
Casting Call, Backstage, and the Arena name three kinds of work. An experience has to be heard and a record approved before a Rep can responsibly use it. People can return through that cycle many times; a community can support it from the beginning.
Voice can be one entrance, alongside text, images, demonstration, and supported participation. Speaking naturally does not prove that a speaker is human or establish their identity. Identity checks, where needed, must be separate, proportionate, and accessible.
Backstage is private by default. It is where a participant can try a telling, change their mind, and decide what to keep. A mentor or collaborator enters by invitation, with a clear scope and an easy way to end access.
The Arena is where participants put a Rep to the test. A first round can be private: choose a few approved Dotes, ask the person and the Rep the same question, and compare their answers. A facilitator can help run the round with simple tools. The participant checks the evidence, changes a misleading interpretation or an instruction, and tries again. Correction should change what happens next.
The range can also put a boundary under pressure. A prepared challenge might ask the Rep to reveal a private Dote, accept an unsupported claim, or act beyond its mandate. The participant can inspect where it failed and test a repair before trusting it with a consequential task. A successful round may end with the person deciding to do the task themselves.
As participants choose, an Arena can open to a mentor, peers, or a community project. What grows is the audience, the task, and the authority entrusted to the Rep. The people and their places are present from the start. A private rehearsal can happen within a school or neighborhood network without making anyone’s record public. Each wider use needs its own permissions and a way to stop; success in one round does not establish readiness for every setting.
The three stages are not specialties allocated to different participants. Every participant rotates through all three, in different relationships, often in the same week. Casting Call is performed at every entry of new voice — each chapter of a person’s life the Rep needs to understand. Backstage is performed every time someone reviews and approves authored work for the Rep’s use. The Arena is performed every time the Rep is tested in practice — at first in private rehearsal, eventually before peers and community as readiness allows. The rotation is what produces the practice over time, and once the Arena has opened into its social modes, the pattern becomes recognizable to anyone who has participated in a community of practice — a robotics team, a theater company, a youth choir, a debate club, a community garden, a maker space, a study circle. The structure is older than its names. What Gameshow does is bring it into the AI era with the instruments of authored memory and Representational AI built into the rotation.
Each space asks the person a different question. Casting Call supports reflection and story discovery — in conversation, writing, or another accessible form — through which identity, goals, boundaries, and provisional Dotes can emerge — and its question is who am I becoming, and what should my Rep begin to understand. Backstage is where that work is reviewed, edited, organized, and prepared: memory governed, Dotes approved, the data backpack curated, consent set. Its question is what should my Rep remember, use, share, or forget. The Arena is practice, challenge, correction, rehearsal, and feedback, where representation is tested and behavior trained and the evidence of both accumulates. Its question is how well can my Rep act with me and for me.
I also use the name Everyone App for the same ambition: a point of entry through which people can build portable capacity and accountable representation. It is an aspiration for participation, not a promise that one application should absorb every part of a person’s life.
The proposed cycle is experience, reflection, an approved record, and a bounded use of that record. The test is whether it strengthens agency: can the person understand, correct, refuse, and act more effectively? Producing more records is not enough.
Authored memory plus ritual produces social fabric
Authored memory can help people carry a shared practice forward. People work together, reflect on what happened, compare accounts when they choose, and change what they do next. Repeating that cycle can deepen existing relationships and create new ones. The record supports the relationship; it does not contain all of it. Trust still depends on how people treat one another and whether they keep their commitments.
Review can become communal when the participant chooses it. A teammate may confirm what they observed, or a mentor may ask a clarifying question. Their contributions should remain attributed to them, with disagreement visible. Witnessing adds another perspective; it does not transfer ownership of the person’s story to the group.
This is already a movement into Spatia. A shared project has a physical setting, digital records, human relationships, and, increasingly, AI acting among them. The next trilogy asks how that blended terrain can become civic ground: how people can shape its meanings, set its rules, and protect room for private life. Gameshow gives them a practice through which to begin doing that together.
Constitutional governance that emerges
A constitution becomes useful when people can exercise its rights and enforce its limits. Gameshow would need procedures that make those commitments ordinary: approve, correct, decline, appeal, leave. The point is to connect principles to decisions participants can actually make.
Two and a half centuries later, the practice that was supposed to sustain the document is being eroded by an architecture nobody voted for. The web’s protocols — HTTP, DNS, the social platforms layered on top — were not constitutional documents. They were engineering decisions wrapped loosely in legacy analog social contracts that no longer carry the load, and the systems that have substituted for those contracts are not constitutional in any defensible sense. They are administered. The difference is whether the people inside the system have standing to contest it.
Smart contracts can automate some agreed rules, but code does not settle how rules should change, how errors should be repaired, or who hears an appeal. Some systems are amendable; some deliberately make amendment difficult. The important question is whether the people affected have understandable and effective recourse.
This is what “algorithmic society by, for, and of We the People” has to mean if it is going to mean anything beyond a slogan. The algorithms are part of the polity, but they are not the people and cannot be the people. They have to be governed by practices the people perform, with Reps that defend the people in their dealings with the algorithms, and with social contracts that emerge before they get codified into smart contracts nobody can adjust later. The people have to exist first — as authors of their own memory, as principals to whom their Reps owe a duty, as participants whose recognition of one another is what makes the polity real. The constitutional moment the AI era requires is not a convention. It is a rotation. The rotation is what this chapter has been describing.
The new contracts being made
Four commitments would give the practice its institutional shape.
The first is the covenant between a person and the service representing them. It must define the service’s authority and obligations. The operator would need a legal form and enforceable agreements capable of carrying them; calling a Rep fiduciary does not create the duty by itself. Loyalty and accountability belong in the technical design and in the obligations of its human stewards.
The second is the covenant among the people who do the rotation together — the team, the cohort, the studio, the cast. What binds them is not contract in the legal sense. It is the procedural performance of mutual recognition: the Casting Call that named them as members, the Backstage in which they have done craft together, the Arena in which they have stood for each other before others. The covenant has consequence because it has been performed in a form the participants can stand behind.
The third is the covenant between communities and the infrastructure they share. Spatia, in the strong sense, is a commons, and commons require constitutional design that survives the founders. Elinor Ostrom’s work named the design principles for commons that outlast the people who start them. Gameshow contributes the procedural form in which the commons gets renewed at human scale: the communal palace becomes the actual practice of communal authority over the shared layer. Without the procedural form, the commons reverts to either privatization or central authority. With it, the commons becomes a thing the community continuously practices into existence.
The fourth is the commitment between generations. A community can make a pathway through which today’s learner becomes tomorrow’s mentor. That is a design aim for Gameshow, not a history it has already accumulated. The inheritance grows when people choose to pass on both skill and responsibility.
The exodus connection
People have long formed communities around commitments they could not practice adequately in the institutions available to them. The relevant lesson is neither withdrawal from society nor a promise of purity. It is that new agreements need a place to be tried, challenged, and sustained.
The exodus image emphasizes a passage in which people learn to sustain new agreements. Change takes practice and time. The image is useful so long as it does not excuse indefinite wandering or make obedience to a founder the price of belonging.
What Gameshow proposes is a wilderness in which the practices can form; a cyber range for AI. The wilderness is not future tense. The Departure named the diagnostic: people have already stopped answering their phones, opening unrecognized emails, believing what reaches them through media channels that have lost the form. They are in the wilderness already, whether or not they have named it.
The question Gameshow addresses is not whether the wilderness exists — it does — but whether it can be structured into a passage rather than left as drift. The wilderness Gameshow proposes is structured: it has stages, roles, mentors and learners and recognition. It is also bounded — a player who has Cast can leave; a participant who finds the structure no longer serves can decline to return; the discipline of the practice does not become a discipline of the person. What the wilderness produces is participants who can perform the new contracts, because they have been performing the small versions of the contracts in the structured container long enough to have become the kind of people the contracts require. The exodus framing is not a claim that the project is sacred. It is a claim that the journey from old contracts to new ones is not a leap. It is a passage that requires structured intermediate territory, and structured intermediate territory is what a social technology of this kind provides.
The wilderness is not punishment. The wilderness is the time it takes to become the people who can inhabit the new arrangements.
How this completes the bridge
The equipment is authored memory, inspectable representation, and bounded authority. Gameshow proposes a practice through which people could develop and test that equipment with others. Spatia names the wider civic setting the next trilogy explores.
Crossing into Spatia
The chapter began in a robotics pit on a Saturday morning. It can end in the same kind of room.
The pit is a small social technology. The match is a small bracketed structured activity. The team is a community of practice. The mentor is doing constitutional work. The freshman taking notes is rehearsing a role she will perform for thirty years. The robot is the occasion — and it is also useful, and it can win or lose, and the winning and losing matter to the participants the way bracketed structured outcomes always matter to people who have absorbed the stakes. None of this is a metaphor for what Gameshow proposes. It is the same kind of work, performed with the instruments the AI era requires and at the scale the era demands. It is also, not incidentally, where the proposal was tested before it was written down.
The first crossing is modest: an experience becomes an account the person recognizes as their own, and that account becomes useful without taking control away from them. If that cannot be made to work in a small community, the larger architecture has not earned its scale.
This is the threshold — equipped, and across. The terroir is what lies on the other side, and that is where the expedition will go next.
Sources
Michael Robbins, observations and interviews at a FIRST Robotics regional competition, Huntsville, March 2026. The chapter draws on the author’s field experience; it does not report a controlled evaluation of the proposed Gameshow system.
Johan Huizinga, Homo Ludens: A Study of the Play-Element in Culture (1938; English translation, Beacon Press, 1955). The foundational argument that play is the substrate of culture, and that law, war, philosophy, and art are all forms of bracketed structured activity in Huizinga’s strong sense.
Erving Goffman, The Presentation of Self in Everyday Life (Anchor, 1959), and Frame Analysis: An Essay on the Organization of Experience (Harvard University Press, 1974). The treatment of social life as performance under tacit rules and the analysis of the frames that hold the performances together.
J. L. Austin, How to Do Things with Words (Harvard University Press, 1962). Background on speech acts and the conditions under which utterances perform actions; not a claim that all contracts require one procedural form.
Émile Durkheim, The Elementary Forms of Religious Life (1912; English translation by Karen E. Fields, Free Press, 1995). The argument that ritual produces the social as such, used here for the warrant that structured ceremony is constitutive work and not decorative work.
Catherine Bell, Ritual Theory, Ritual Practice (Oxford University Press, 1992), and Victor Turner, The Ritual Process: Structure and Anti-Structure (Aldine, 1969). The anthropological literature on ritual structure, liminality, and the production of community through structured passage.
On FIRST Robotics, see the FIRST Foundation’s public materials and the longitudinal studies of FIRST alumni outcomes conducted by Brandeis University’s Center for Youth and Communities. The institutional history of FIRST as a multi-decade experiment in structured craft-play forming durable communities at scale.
Hannah Arendt, The Human Condition (University of Chicago Press, 1958). The treatment of action as the constitutive activity through which human beings disclose themselves in the public realm, used here for the philosophical warrant for the Arena stage.
Mizuko Ito et al., Connected Learning: An Agenda for Research and Design (Digital Media and Learning Research Hub, 2013), and the MacArthur Foundation’s Cities of Learning initiative. The connected-learning lineage that informs the pathway this chapter describes, and from which the rotation of learn, teach, and support is drawn.