Open Media Network: A Manifesto for the Digital Commons

A cohesive manifesto is needed as the world we inherited is fractured. Wealth, power, and knowledge are concentrated in the hands of the #nastyfew: platform owners, data hoarders, and corporate monopolies who extract value from our work, our attention, and our trust. Democracy has been hollowed out, captured and controlled by algorithms that decide what is knowable, profitable, and even true. Ecology, community, and care are sacrificed on the #deathcult altar of growth and consumption.

In this mess, the Open Media Network (#OMN) is a #KISS project that exists to reclaim the digital commons, reshape society, and redefine what is possible when power, knowledge, and technology are returned to the people.

In the current #dotcons economy, access to infrastructure, information, and governance is rent-based and extractive. Communities pay to participate, and the surplus flows to distant shareholders.

The #4opens – open code, open governance, open data, open processes – upend this system. Putting tools of creation and coordination into grassroots democratic, collective stewardship. Value no longer flows automatically upward; it stays with the communities that generate it.

On this path, inequality stops being “natural.” Rich and poor are revealed as structural outcomes of enclosure and extraction. By reclaiming infrastructure as a commons, we recompose power, and inequality becomes a historical memory, not a permanent fact.

The logic of capitalism equates growth with progress, but infinite growth on a finite planet is impossible. Digital goods – knowledge, code, culture, and coordination – are non-rivalrous, replicable, and shareable. By moving value into open, digital abundance, the material basis of economic expansion shrinks.

This frees human effort to focus on ecological outcomes. Energy systems can localise, circular economies can flourish, and extraction-driven industries can shrink. Consumerism no longer masquerades as culture. Life becomes about care, collaboration, and sustainability. In a post-consumption economy, human needs are met without destroying the biosphere

What we need to compost is the closed, corporate networks, that, reduce people to metrics: clicks, views, and engagement scores, where connection is commodified, communities dissolve into attention economies. Moving to #4opens networks reverse this. Open, modifiable, and transparent paths and systems allow communities to rebuild trust, care, and reciprocity. Collaboration happens without permission, and relationships can persist across distance and time. Communities stop belonging to brands and start belonging to people. Social infrastructure becomes a tool for power and resilience rather than extraction.

The capitalist world naturalised exploitation, scarcity, and secrecy. Our “common sense” became a prison: work more, compete, hoard, distrust. The #4opens world undoes this conditioning. Open infrastructure and governance teach us that scarcity is artificial, cooperation is powerful, and secrecy serves control, not communities. Common sense is no longer what capitalism told us, it is what we collectively choose, this open thinking makes new realities possible.

The transitory shaping of privacy as we imagined it is gone, the #dotcons and surveillance states already see everything. Closed systems cannot protect us; secrecy is a lost battle. The solution is radical transparency. Open metadata, and commons-based governance shift power away from hidden extractors and toward the public. Privacy becomes collective control over visibility: who sees what, and with what accountability. In this world, transparency is justice, and knowledge is a tool of liberation.

In a #4opens world, exchange is no longer driven solely by money. Scarcity loses its grip when knowledge, code, and infrastructure are freely shared. Value can be recognized, tracked, and distributed openly. We give not to accumulate, but to re-balance. Contribution is measured in social and ecological impact, not profit. Capitalism made money sacred; #4opens break that spell, opening paths to redistribute both material and social power.

The next bubble, current #AI#LLMs and ML #systems – is not intelligent. There is no path from these tools to general intelligence. What exists is pattern-matching, statistical correlation, and corporate extraction of public knowledge. But handing locked-up data to corporate systems strengthens anti-democracy structures. Instead of enabling “innovation”, it reinforces surveillance, centralisation, and algorithmic control. Real intelligence is collective, embodied, and social. True change and challenge emerges not from hype bubbles or closed corporate labs, but from communities building shared knowledge and infrastructure in the open.

Fascism vs. Cooperation – Fascism treats collaboration as weakness, hierarchy as inevitable, and domination as the only path to power. It cannot be trusted and cannot survive in open, cooperative networks. The #OMN path is the opposite: power through participation, resilience through trust, and flourishing through shared infrastructure. Communities that cooperate can sustain themselves, adapt, and grow, while isolationist, extractive paths, systems and tools wither. Cooperation is not optional, it is the foundation of any path to security, survival, and progress.

The choice before us, the world we inherited, is extractive, enclosed, and unsustainable. But the tools to reclaim power, knowledge, and community already exist. In #FOSS, the #4opens – applied to infrastructure, governance, culture, and knowledge – allow us to reduce inequality structurally, not through charity, but with rebuilding social trust and care, aligning human activity with ecological limits to make knowledge a public good, not a corporate asset.

Open Media Network is not a platform. It is a social path, to a world where power is distributed, knowledge is shared, and society is governed by the people who live in it. We are not asking for permission. We are building the commons, the question is not whether we can succeed, the question is whether we will choose to. History will remember what we did in this moment.

Why do we need to be this change and challange – when the vertical stack is captured, this is not simply a “shift to the right” in technology, ideas, or voting patterns. It is something deeper and far more dangerous: the capture of institutions themselves, the state as infrastructure. What we are witnessing is the hard right learning how to weaponise liberal, vertical systems against the values those systems claime to uphold.

This capture runs all the way down the stack. From the #dotcons to national governments and regulatory bodies; from university chancellors to local councils; from courts to media regulators. Structures that were designed – at least rhetorically – to mediate power are being repurposed as tools of repression, exclusion, and control.

Crucially, this is done using the language and procedures of liberalism itself: law and order, efficiency, neutral administration, security, common sense. The shell remains liberal. The content is no longer so.

Vertical systems are inherently brittle. They concentrate authority, normalise hierarchy, and rely on trust in institutions rather than participation in decision-making. When functioning well, they can stabilise society. When captured, they become perfect instruments for authoritarianism.

Once the hard right gains control of vertical institutions, it does not need to abolish democracy outright. Instead, it quietly redefines who counts, who is heard, and who is excluded. Algorithms are shaped. Funding rules tightened. Governance boards reshuffled. Enforcement priorities rewritten. Dissent is hollowed out while everything is insisted to be “within the rules.”

Universities become compliance factories. Local councils become enforcement arms. NGOs are defunded or disciplined. Media becomes “responsible.” Protest becomes “extremism.” This is not a breakdown of the liberal system, it is the system functioning as designed, but for different ends.

A dangerous illusion persists: that when the political pendulum swings back, these systems can simply be “returned to normal.” History tells us otherwise. Once vertical systems are captured, they are extremely difficult to bring back to any liberal-centrist path. Rules have been rewritten. Personnel replaced. Norms broken. Trust eroded. Appeals to fairness or precedent no longer land, because the system’s function has shifted from mediation to domination.

This is why “defending institutions” on its own is not enough. Institutions built on vertical authority cannot defend themselves once their legitimacy has been repurposed. At that point, asking them to save democracy is like asking a locked door to open itself from the outside.

Why horizontal power matters, and grassroots, federated power stops being a nice idea and becomes a necessary tool of change. Horizontal systems – commons-based networks, federated media, open governance, mutual aid, cooperative infrastructure – do not depend on permission from captured institutions. They distribute power, knowledge, and coordination across communities instead of concentrating it at the top.

In #OMN terms, this is about balancing power, not fantasising about purity, collapse, or revolution-as-spectacle. When vertical power becomes hostile, horizontal power provides resilience. It creates parallel capacities for communication, care, legitimacy, and collective action.

Federated systems are harder to capture because they have no single choke point. They can route around repression. They can survive attacks. They can continue to function even when formal institutions turn against the people they claim to represent.

We should be clear-eyed about where this leads. When vertical systems are captured and horizontal power is absent, pressure builds. History shows the likely outcomes: civil unrest, civil war, or international intervention. These are not abstract risks. They are structural consequences of power being monopolised without legitimacy.

Building horizontal power is not about accelerating conflict. It is about reducing the likelihood of catastrophic collapse by giving societies non-violent ways to rebalance power. When people have no voice, no access, and no agency, conflict becomes inevitable. When people can organise, communicate, and build alternatives, escalation can be resisted.

Its the strategic choice, the question is no longer whether horizontal power is desirable. The question is whether we build it before the remaining liberal structures are fully repurposed against us. The Open Media Network, the #4opens, federated governance, and open knowledge are not ideological luxuries. They are infrastructure for democratic survival in a world where vertical systems are increasingly hostile.

We are entering a period where balance – not dominance – will determine whether societies fracture or adapt. Horizontal power is what remains when the state forgets who it is meant to serve. Then the future will not be decided by who controls the top of the stack, but by whether people at the edges still have the means to organise, to speak, and to act together.

And that is a fight worth taking seriously, while there is still time.

LLM`s and the openweb

The debate about so called #AI and large language models inside the #openweb paths is not, at its core, a technical argument. It is a question of relationship. Not “is this tool good or bad?” but how is it used, who controls it, and whose interests it serves.

This tension is not new, every wave of open communication technology has arrived carrying the same anxiety: printing presses, telephones, email, the web itself. Each was accused – often correctly – of flattening culture, centralising power and then when enclosed eroding human connection. And yet, each was also reclaimed, repurposed, and bent toward collective use when used within humanistic social structures. The #openweb path was obviously never about rejecting technology, it was about refusing enclosure.

On the #FOSS and the #openweb, we have always understood that tools are political. Not only because they contain ideology in their code, but because they embody power relations in how they are built, owned, governed, and deployed. The #OMN project grew from this understanding, it isn’t an anti-tech project, it is a re-grounding of technology in social process: trust-based publishing, local autonomy, messy collaboration, and human-scale governance. On this path we have to constantly balance the #geekproblem that servers mattered less than relationships, code mattered less than continuity.

#LLMs arrive into this tradition not as something unprecedented, but as something familiar: a tool emerging inside systems that are deeply broken. The danger is not that LLMs exist, the danger is that they are being normalised inside closed, extractive, #dotcons infrastructures.

What makes LLMs unsettling is not intelligence, they have none, It’s proximity. They sit close to language, meaning, memory, synthesis, things humans associate with thought, culture, and identity. When an LLM speaks fluently without being feed lived experience, then yes, it can feel hollow, verbose, even uncanny. This is the “paid-by-the-word” reaction many people have: form without presence, articulation without accountability. This discomfort is valid.

But confusing discomfort with real danger leads to the wrong response. #LLMs do not have agency, consciousness, or ethics, they don’t take responsibility, they cannot sit in a meeting, be accountable to a community, or live with the consequences of what they produce. Which means the responsibility is entirely ours. Just like with publishing tools, encryption, or federated protocols.

Much of the current backlash against “AI” is not about facts. It’s about vibe. People aren’t only disputing accuracy or pointing to errors. They’re saying: “This feels wrong.” That instinct is worth listening to, but it’s not enough. The #openweb tradition asks harder questions:

  • Who controls the infrastructure?
  • Can this tool be used without enclosure?
  • Can its outputs be traced, contextualised, and contested?
  • Does it strengthen collective capacity, or replace it?
  • Does it help people build, remember, translate, and connect, or does it manufacture authority?

An LLM used to simulate “wisdom”, speak for communities, and replace lived participation is rightly rejected. That is automation of voice, not amplification of agency. But an LLM used as:

  • an archive index
  • a translation layer
  • a research assistant
  • a memory prosthetic
  • a bridge between fragmented histories

…can work within in a humanistic path if it is embedded in transparent, accountable, human governance. The #openweb lesson has always been the same: you don’t wait for systems to fail – you build alongside them until they are no longer needed. On this path #LLMs will become infrastructure, the real question is whether they are integrated into: Closed corporate stacks, surveillance capitalism, and narrative control or federated, inspectable, collectively governed knowledge commons.

If the open web does not claim this space, authoritarian systems will. This is not about fetishising this so-called AI, nor about rejecting it on moral grounds. Both are forms of avoidance. The #OMN path is pragmatic:

  • build parallel systems
  • insist on open processes
  • embed tools in social trust
  • keep humans in the loop
  • keep power contestable

#LLMs can’t and don’t need to understand spirit, culture, or community, humans do. What matters is whether we remain grounded while using tools – or whether we outsource judgment, memory, and meaning to systems that cannot be accountable.

Every generation of the open tech faces this moment, and every time, the answer needs to be not purity, but practice. Not withdrawal, but responsibility. Not fear, but composting the mess and planting something better. #LLMs are just the latest shovel, the question is whether we use them to deepen the enclosure, or to help dig our way out.

On the #OMN and #openweb paths, the answer has never been abstract. It has always been: build, govern, and care – together.

Governance, the mess of AI tech-fix paths

Seminar Reflection: Philosophy, AI, and Innovation – Week 6
Topic: AI Deliberation at Scale
Speakers: Chris Summerfield (Oxford & AI Safety Institute), MH Tessler (Google DeepMind)
Key texts: Jürgen Habermas, The Structural Transformation of the Public Sphere (excerpt) and Summerfield et al., “AI Can Help Humans Find Common Ground in Democratic Deliberation”

This seminar focus is on scaling democratic deliberation via AI. The example proposal is the #HabermasMachine a test projects to facilitate large-scale consensus using #LLMs (Large Language Models). The framing, unsurprisingly, is drawn from the elitist tech sector – Google DeepMind and Oxford – with a focus on “safety” and “moderation” over human messiness and agency.

The problem we face is that this #techshit path might work, but for who is the question, what kind of “public sphere” is this #AI recreating, and who holds the power to shape it? These are strongly top-down, technocratic proposals, rooted in a narrow utilitarian logic. The underlying assumption is that human decision-making is flawed and must be mediated, and ultimately managed, by algorithmic systems. Consensus is determined not through lived human to human dialogue or, as I like to say – mess, but through an AI that quietly nudges discussions to centrist consensuses.

There is no meaningful eye-to-eye group interaction in this project, no room for DIY, #bottom up agency. Participants become data points in a system that claims to “listen,” but acts through elitist mediation. It is consensus without community, and safety without solidarity. What’s missing is the power of mess, the presenter ignores this central question: Can we build messy, human-scale deliberation that doesn’t rely on top-down interventions?

Projects like this are not grassroots governance, rather it’s governance-by-black-box, mainstreaming by design, the incentive model is telling: ideas that align with the status quo or dominant narratives are rewarded with more money. Consensus is guided not by grassroots engagement or dissenting voices, but by what the algorithm (and its funders) consider “productive.” This is the quiet suffocating hand of #mainstreaming, cloaked in neutral code.

#TechFixes paths like this are about stability at all costs, yet we live in a time when stability is the problem, with #ClimateChaos threatening billions, the demand is for transformation, not moderation.

This is AI as intermediary, not a facilitator of the commons paths we need. Transparency? Not here, no one knows how the #AI reaches consensus. The models are proprietary, the tweaks are political, and the outcomes are mediated by those already in power. The system becomes an unaccountable broker, not of truth, but of what power is willing to hear.

We need to be wary of any system that claims to represent us without us being meaningfully involved. This is a curated spectacle of consensus, delivered by machines, funded by corporations, and mediated by invisible hands. What we need is human to human projects like the #OGB, not tech managed consensus. This #mainstreaming path isn’t compost. It’s simply more #techshit to be composted, mess is a feature, not a bug.

In the #OMN (Open Media Network), we explore paths rooted in trust, openness, and peer-to-peer process. Not asking for power to listen, but taking space to act. We compost the mess; we don’t pretend it can be sanitized by top-down coding.

#Oxford #AI #techshit #dotcons