What this page is about
What we built: A functioning autonomous research operation: one researcher, locally-owned compute, 256 cycles run, 17 patterns extracted, 34 collaborator workspaces active, under EUR 5 per month in electricity. Everything on this portal was built and is running under those conditions.
Why it matters for Stage IX: Stage IX is a Dutch cultural funding programme for practices in permanent beta -- ongoing, self-sustaining work that keeps generating knowledge without a fixed endpoint. This application demonstrates that the infrastructure already exists, already runs, and already produces verifiable output. The question is not whether the practice works. It does. The question is what it can do with more capacity.
How Stage IX resources would be used: Three things: expanding the researcher network (currently one person, target four to six), adding compute nodes to allow parallel workloads, and documenting the methodology in a form that other institutions can adopt without needing the original researcher present. The budget is for distribution, not for building what is already built.
How it proves permanent beta: The system has no planned endpoint. The observation pipeline runs 14 times per day. The pattern library grows as cycles accumulate. The 84-cycle zero-action synthesis phase showed that the system can enter new operational modes without being instructed to do so. Permanent beta is not a claim about intent -- it is a description of what is already happening.
From single researcher
to distributed practice
one framework is operational. The methodology is documented. The infrastructure is proven. Stage IX funding enables the move from single-researcher operation to a distributed research network that can run in parallel across domains, institutions, and geographies.
Current state / target state
The local compute infrastructure handles image generation, processing, and data storage. AI language processing currently runs on cloud APIs (Anthropic, Gemini, and others via the one routing layer — the system that dispatches tasks to whichever AI service is available). This is a deliberate interim position, not the end state.
The research grant funds the transition: replacing cloud-based processing with distributed local processing across the contributor network. Compute nodes contributed by researchers, artists, and institutions in the network will handle language tasks directly. No external API dependency. No external jurisdiction. No ongoing subscription cost.
The architecture is designed for this transition from the start. Routing logic is provider-agnostic. Local endpoints are already supported. What the grant buys is the network scale required to make local processing reliable at research scale.
Current state
One researcher. Locally-owned compute. Everything described on this portal was built and is running under those conditions.
The constraint has been productive. Working within tight resource limits forced methodological clarity: every design choice had to justify itself. What Stage IX unlocks is not replacement of what was built under constraint -- it is extension of it to a scale where the methodology can be tested against different researchers, different domains, and longer timeframes.
What scaling enables
University collaboration. Formal institutional grounding for the circuit methodology. A university partner provides the infrastructure to publish findings, access peer review, and build toward long-form studies that require institutional continuity.
Multi-researcher deployment. 10 to 20 parallel observation arcs across different domains and geographies. Each researcher runs their own circuit with their own site types. The patterns that appear across all arcs are the most durable findings.
Long-form study. A 3 to 5 year continuous observation program to validate pattern stability over time. 256 cycles over one year is strong evidence. 1000 cycles over three years is a different kind of evidence.
Public methodology documentation. Peer-reviewed publication of the circuit methodology and pattern extraction system. Making the method available for independent replication by other researchers.
Installation work. The Crystalline Structure concept at Nxt Museum: visitors performing distributed coordination with wire and ceramic at room scale. The pattern made physical and participatory.
Facility-specific proposals
Each consortium member represents a distinct context in which one framework methodology can operate. The proposals below are specific to each facility's environment and practice.
Planetary sonification. Earth-2 climate AI data translated to 3D spatial audio in real time. The same distributed coordination patterns that appear in factory floors and forest ecosystems also operate in atmospheric data -- this makes them audible in 4DSOUND's spatial environment, at the scale of a room.
Data consent installation. Visitors choose what to contribute. What they contribute shapes the space. The ethics of data extraction made tangible and interactive -- not as a lecture, but as a decision visitors make and immediately see the consequences of.
Formal analysis of the circuit methodology. Academic collaboration on the mathematics of scale-invariant coordination patterns. The same algorithm appears in factory, forest, and village -- CWI can examine that rigorously and establish whether the structural equivalence holds under formal analysis.
Practitioner workshops. Build a tool in a session. Fork it. Revenue shared proportional to contribution. Applied cooperative infrastructure for the creative community -- not a theory of cooperation, but a working instance of it.
Long-duration immersive research. The circuit methodology applied to extended time: what does accumulated observation reveal over months rather than days? Ruimtetijd's environment supports the kind of sustained presence the methodology requires at its most demanding.
Education methodology. How does knowledge move between practitioners? The circuit methodology as a teaching model for distributed coordination in creative practice -- applied to the specific question of how skills and knowledge transfer across a practitioner community.
Timeline
Open call launches. one framework submits to Established Artist track. 5+ years of practice across AI routing infrastructure, autonomous systems, and immersive installation. 256 autonomous research cycles already logged.
Application deadline. one routing layer, Lana-Dreamer autonomous research system, and pattern extraction pipeline fully documented and operational. The application is not a proposal — it is a record of what is already running.
Committee review. one framework evaluated on: methodology depth (circuit observation system), technical infrastructure (local-first, provider-agnostic routing), and permanent beta evidence (256 cycles, 17 validated patterns, no planned endpoint).
Shortlist notification. If invited to interview: one framework presents the live system — not slides. The infrastructure runs in the room.
Interviews at consortium facilities. Priority conversations: CWI on formal analysis of scale-invariant coordination patterns; 4DSOUND on Earth-2 climate data sonification; Nxt Museum on the data consent installation concept.
Selection confirmed. one network onboarding begins. Contributor workspace provisioning, ethical terms deployment, contribution ledger initialisation.
Residency starts. Base at Ruimtetijd, Fort Penningsveer. Month 1: onboarding, facility access, and first multi-researcher arc deployment — expanding from one researcher to four to six parallel observers across domains.
Core R&D phase. Parallel arcs running: 4DSOUND planetary sonification (atmospheric coordination patterns made spatial and audible); CWI formal analysis of circuit methodology mathematics; AHK practitioner knowledge-transfer workshops; POPKRAFT cooperative tooling sessions.
Crystalline Structure installation development for Nxt Museum. Visitors performing distributed coordination with wire and ceramic at room scale — the pattern library made physical and participatory. Simultaneously: first peer-review submission drafted.
Local inference transition. Cloud API dependency replaced by distributed local inference across contributor compute nodes. No external jurisdiction. No ongoing subscription cost. one routing layer operating fully provider-agnostic at research scale.
Residency closes. Outputs: peer-reviewed methodology publication (open access), 1000+ cycle longitudinal dataset, onboardable documentation package for institutional replication, and a functional cooperative compute network operating without the original researcher present.
What the budget covers
The current operation runs for under EUR 5 per month in electricity. Stage IX funding is not for keeping the lights on -- it is for distribution: more researchers, more compute, more domains.
The infrastructure that generates the evidence - the compute, the pipeline, the archive - is already running and already paid for. Stage IX budget covers the expansion, not the foundation.
Value distribution model
one framework tracks value through contribution records — not purchased, not speculative. Understanding how value flows through the network draws on three reference frames: the labour theory of value (Marx), cooperative economic governance (Mondragon), and commons sustainability principles (Ostrom).
Marx identified surplus value as the gap between what labour produces and what labour receives. In standard capitalist arrangements, this surplus flows upward to capital holders -- owners of the means of production accumulate what workers generate.
one framework inverts the direction. Surplus value generated by contributors -- compute cycles contributed during idle time, knowledge frameworks built into the pattern library, field observations that become reusable research -- flows back to contributors via the contribution value system.
Contribution value is earned, not purchased. It carries no speculative value and cannot be traded on open markets. It is a claim on verified value, redeemable against actual network revenue — what the contribution produces for the network is distinct from what it redeems against. BOINC operated this kind of contribution tracking for 20 years across millions of contributors without speculative distortion.
Mondragon Corporation (Basque Country, founded 1956) demonstrates that worker-owned, democratically governed enterprises can operate at industrial scale across 70 years. Key structural features applicable to one framework:
One member, one vote. Governance is proportional to membership, not capital ownership.
Internal capital accounts track each member's contribution. Surplus is distributed proportionally.
80,000+ members across 250+ cooperatives. Democratic governance scales.
Elinor Ostrom (Nobel 2009) documented how communities sustain commons without collapse. Each principle maps directly to one network governance:
Contact
Questions about the methodology, the infrastructure, or the application can go directly to Jesse Sep van Aalderen.