Fort Collins resident proposes paying people to learn, teach and contribute
By Torchy Blane
Special Correspondent, Arc Codex
FORT COLLINS, Colo. — There is an old assumption about education in America: if you want to get somewhere, you must first find the right gate.
The university has a gate.
The profession has a gate.
The apprenticeship has a gate.
The computer lab has a gate.
The good job has a gate.
And, increasingly, the gates have become expensive.
Ross Nesbitt, a Fort Collins resident and longtime systems engineer, has been thinking about what might happen if somebody built the opposite kind of institution.
Not another gatekeeper.
A free gate.
Nesbitt’s proposal is still an idea rather than a formal ballot measure. He is not asking Fort Collins voters to sign anything at this stage. Instead, he is putting the idea into public discussion and asking a more basic question:
What if a city deliberately built educational infrastructure that paid people to learn and contribute rather than charging them for the privilege of entering?
His proposed system would combine public computing equipment, network access, artificial-intelligence-assisted education, vocational training, multilingual instruction and community contribution.
The simplest version might require almost nothing from the student.
Scan a QR code.
Listen to a short lesson.
Answer five questions by speaking into a phone.
Pass the quiz.
Earn 200 points.
That may sound almost comically simple.
Nesbitt says that’s the point.
“If this can’t work for somebody who has never used a computer before,” he argues, “then we’ve built another gate.”
The First 200
The proposed points would not initially be money.
They would be recognition: a visible record that someone had learned something or contributed something useful.
A person might earn points by completing a lesson, tutoring another student, translating material, verifying a source, contributing software, helping maintain a community project or demonstrating a practical skill.
What the points might eventually purchase—or whether they acquire any monetary value at all—would be determined later.
The first principle would be simpler:
You earn them. You don’t buy them.
That distinction matters because Nesbitt’s proposal is partly an argument about the economics of education.
Traditional institutions generally ask the student to bring resources to the gate.
This system would reverse the flow.
The community would invest resources in the person coming through the gate.
From Detox to Doctorate
The proposal becomes more ambitious when the educational system itself is considered.
A ten-minute lesson for a person with limited literacy and a doctoral seminar cannot have the same vocabulary, pace or assumptions.
But they can be different presentations of the same underlying body of knowledge.
Nesbitt envisions a system capable of producing educational material across a broad matrix of reading levels, from elementary explanations through graduate and doctoral work.
The material could also be delivered through text, conventional lectures, audio and synthetic voices.
English and Spanish would be an initial pair of languages, with additional languages following.
The goal is not to create ten different universities.
It is to create one underlying knowledge system capable of explaining itself appropriately to ten different linguistic communities and many different levels of prior education.
A person should not have to become academically sophisticated before being allowed to begin learning.
The Synthetic Faculty
The professors in such a system would not all be human.
Some might be clearly identified synthetic faculty: persistent teaching personas with particular disciplines, voices and pedagogical styles.
That distinction is important.
A synthetic professor is not evidence.
The evidence remains underneath the professor.
The lecturer is an interface through which a body of knowledge is explained.
In this model, the source material, provenance, revisions and competing interpretations remain inspectable even when the lecture itself is delivered by an artificial voice.
That could make a synthetic professor something rather different from an ordinary chatbot.
The professor would have a curriculum.
The curriculum would have sources.
The sources would have provenance.
The lessons would have assessments.
The students could respond.
And the students could eventually contribute back to the system.
The Student Who Fixes the University
This may be the most unconventional part of Nesbitt’s proposal.
Suppose someone enrolls to study resident databases.
They learn the subject.
They build a project.
While working on the educational platform, they discover that one of its interfaces is inefficient.
They propose an improvement.
Their code is tested.
Another student reviews it.
A faculty member or qualified reviewer approves it.
The change becomes part of the educational infrastructure.
The next student studying resident databases encounters the improved system.
In other words:
The student improves the university that teaches the next student.
This creates a feedback loop:
learn → practice → contribute → review → improve → teach.
Artificial intelligence could help operate that loop.
A participant’s local AI could monitor subjects that interest its owner, discover new information, test software, identify contradictions, suggest corrections and prepare possible contributions.
But the human would decide what their AI is permitted to submit.
The result would resemble Wikipedia in one respect: ordinary participants could improve a shared resource.
It would resemble open-source software in another: contributions could become working infrastructure.
And it would resemble a university in a third: people would come there specifically to develop their capabilities.
A Civic Laboratory
Nesbitt is proposing this initially as a public discussion, not as a finished piece of legislation.
That distinction matters.
There are difficult questions.
Who determines what constitutes a useful contribution?
How should artificial intelligence be audited?
How should privacy be protected?
Who pays for the equipment and network?
How should learning credits be governed?
What prevents an institution intended to eliminate gatekeepers from becoming another gatekeeper?
And perhaps the most important question:
What happens when somebody tries to capture the system?
Nesbitt’s answer is not to assume that future administrators will always be virtuous.
It is to design the system so that important decisions leave evidence behind.
Sources should be visible.
Rules should be visible.
Changes should be recorded.
Artificial intelligence should not become an unquestionable authority.
Participants should have avenues for review and appeal.
The software itself should be subject to continuous testing.
In other words, the system should be designed with institutional corruption in mind rather than discovered after the corruption has already occurred.
What Would Fort Collins Actually Gain?
Perhaps the most interesting question is whether this should be understood as an education program at all.
Consider a laid-off engineer.
A teenager who has never discovered what she is good at.
A retired machinist.
An immigrant learning English.
A parent who wants to learn programming at night.
A person rebuilding a life after addiction.
A small-business owner trying to understand artificial intelligence.
A doctoral student looking for collaborators.
Under the traditional system, these people occupy very different categories.
Under Nesbitt’s proposal, they could all approach the same infrastructure from different directions.
One could learn.
Another could teach.
Another could build.
Another could translate.
Another could review.
Another could simply listen.
The system would measure what happened rather than requiring everyone to fit the same institutional mold.
The Free Gate
There is a larger argument underneath all of this.
Every society needs gates.
Expertise is a gate.
Safety is a gate.
Credentials are sometimes useful gates.
But gates become dangerous when access to them becomes a mechanism for extracting wealth or power from everyone standing outside.
Nesbitt’s proposal is therefore not really an argument for eliminating gates.
It is an argument for building better ones.
Gates that are free to enter.
Gates whose rules are visible.
Gates that can be challenged.
Gates that reward people for becoming more capable.
And, perhaps most importantly, gates that open outward as well as inward.
A person walks through one gate as a student.
They may eventually become the person helping somebody else through it.
That is a different conception of public education.
Not a castle.
Not a credential factory.
A commons.
The Experiment Begins With Listening
There is no petition attached to this article.
There is no ballot language being presented as though the City of Fort Collins has already adopted it.
There is simply an idea placed on the table.
Readers can disagree with it.
They can attack it.
They can improve it.
They can point out what it would cost.
They can explain why it would fail.
They can suggest something better.
Those discussions can themselves become part of the experiment.
Because perhaps the first free gate is not the university at all.
Perhaps it is the opportunity to enter the conversation.
Pass GO. Earn 200.
Then see where the road leads.
Facts Only
* Ross Nesbitt, a Fort Collins resident and systems engineer, proposed an alternative educational structure.
* The proposal suggests building an infrastructure that pays people to learn and contribute instead of charging entry fees.
* The proposed system would combine public computing equipment, network access, AI-assisted education, vocational training, multilingual instruction, and community contribution.
* A simple initial model involves earning recognition points for completing lessons or contributions rather than money.
* Points could be earned by completing lessons, tutoring, translating, contributing software, or demonstrating skills.
* The flow is proposed as: earn → do not buy → the community invests resources in the person.
* The goal is to create a single underlying knowledge system adaptable to various reading levels and languages.
* Professors could be synthetic faculty interfaces for knowledge delivery.
* Students can contribute improvements to the educational infrastructure through iterative development loops.
* The proposal calls for public discussion on issues like defining contributions, AI auditing, privacy, and governance.
Executive Summary
A resident proposes a system in Fort Collins where education is structured around paying people to learn and contribute rather than charging for access. The proposal suggests building an educational infrastructure that incorporates public computing, network access, AI-assisted learning, vocational training, multilingual instruction, and community contribution. A basic model involves earning points for completing lessons or contributions, with the goal being recognition rather than immediate monetary payment.
The system aims to reverse the traditional flow where students bear costs by having the community invest resources in the learners themselves. The proposal envisions a knowledge system capable of delivering material across various educational levels and linguistic backgrounds through diverse modalities like text, lectures, audio, and synthetic voices. A key element involves a feedback loop where participants improve the educational infrastructure by contributing to its design, which allows for iterative improvement from learning and practice to teaching.
The core argument is that existing gatekeeping mechanisms in education extract wealth, and this new system seeks to create free gates that reward capability. The proposal invites public discussion on complex issues such as defining useful contributions, auditing AI, privacy protection, and governance to prevent the infrastructure from becoming a new form of gatekeeping.
Full Take
The narrative operates as a critique of gatekeeping structures in education, arguing that traditional systems function by extracting wealth from participants rather than fostering capability. The core tension lies between the established structure—where access is a privilege secured by credentials—and Nesbitt’s vision of a "commons" where access is based on demonstrated contribution and capacity. This perspective challenges the assumption that expertise must precede learning, proposing instead a model where knowledge flows outward from investment into the learner.
The concept of synthetic faculty introduces a layer of self-reflexivity to educational authority, suggesting that the delivery mechanism for knowledge can be decoupled from individual human embodiment while maintaining provenance through traceable sources and assessments. The feedback loop described—learn, practice, contribute, review, improve, teach—is a sophisticated mechanism designed to institutionalize learning through practical application and communal refinement, echoing principles found in open-source development and collaborative knowledge construction.
The ultimate implication shifts the definition of public education from a monolithic institution (a castle or credential factory) to an evolving civic laboratory. The focus on designing systems resilient to capture by those seeking power suggests a recognition that institutional corruption is inevitable; therefore, the design mandate must prioritize transparency in process and accountability for outcomes. The proposition's strength lies not in the technical specifications of the AI model but in its philosophical commitment to structuring access as a mechanism for outward growth, where the most valuable outcome is the creation of agents capable of challenging and improving their environment.
Bridge Questions: How can the community establish equitable standards for valuing non-monetary contributions within this system? What mechanisms must be prioritized to ensure that the iterative improvement loop does not devolve into an opaque form of centralized control? If the goal is to shift from gates to a commons, what tangible metrics will define when access becomes truly free and self-governed?
Sentinel — Human
This article presents a detailed, abstract proposal for educational restructuring through the lens of distributed contribution, employing a discursive style that strongly suggests human philosophical synthesis rather than simple factual reporting.