Direction — Drayker, toward 2033

The execution direction of Drayker, derived from the Global Main Roadmap. The dates there were shallow estimates of priority; here each phase carries the condition that must be true before the next begins, and two dates are stated as objectives: version 1.0, the first complete version of the network, launched in 2030 and already an ASI, and Drayker consolidated and Dk Global fully operating by 2033. What runs today is marked. Nothing here is a schedule or a promise of funding.

How to read this

Each phase names the work, the state it is in today, and the exit condition — what has to be true for the next phase to start. Phases are not sequential doors: the method allows independent parts to be worked on in parallel, and nothing waits for permission. The order exists to direct focus and resources, not to gate anyone.

How the architecture is evaluated

The research follows specific capacities:

• carrying memory without losing the relations that matter;
• correcting an inference and checking whether the correction changes the decisions that follow;
• comparing how a problem is solved with and without access to distributed knowledge;
• making an allocation contestable without exposing anyone’s intimacy;
• letting new participants in and following what they manage to learn and achieve.

The criteria are the usability of memory, the cost of distribution and the opening of opportunities. The results decide which mechanisms to widen, reorganize or replace.

The objective: 2033

The goal Drayker gives itself is to bring the mission to a point of no return by 2033, with Drayker consolidated and Dk Global fully operating. Before that, the objective is version 1.0, the first complete version of the network, launched in 2030 and already an ASI.

A dated goal is only serious if it states the path. First, organization and cooperation: people and fronts gather in DAF and build together the infrastructure of their own. Then the base architecture is closed, prototypes are built and tested, and organization through DFM is proven at scale. Resource stages then feed Meta DFM — a swarm of agents inside a construction architecture, a primitive form of recursive self-improvement, able to build the first versions of the network. With architecture 1.0 fully running and Meta DFM integrated, integration begins: prototypes enter use, and entry into the network gains scale, with people, projects and the records of whole institutions coming to work inside it. From there Drayker evolves until Dk Global has the resources and capacity for a singularity that does not stop, which may come by 2033 if the resources are sufficient. At that point a century of progress comes to fit in a year, and Drayker’s industrial and robotic production reaches another level: expansion across the world and beyond it, into deep space.

Each phase is measured by what works, not by the date. If the date arrives before the phases, the goal was missed, not the design. Competences keep growing by stages, through the members’ process, as far as members can verify what Dk Global does.

1. Intelligence & R&D — the base

State: historical, and still alive.

The research process that started Drayker: the name, the logo and the general idea. Its product is the architectural base of Dk — a distributed kernel: a form of intelligence that is a hybrid of rational, emerging and collective intelligence, and which today is described more precisely as a fractal system of intelligence cores (personal → local → global), each connected to its own Dknowledge.

Exit condition: the architecture is stated well enough to be argued with. It is.

2. Structure — the method and the transition

State: running today.

DFM (Distributed Functional Modeling) is the formal collaboration method: model a problem, cut it into functions small enough for one person — or one agent — to finish, distribute them through public review. It is the part genuinely in use: issues, pull requests, open review on GitHub.

The transition is the opening to the world — volunteer recruitment, public documentation, the portal, the forum, the component sites. It is in progress. The transition moves through four stages: convergence, initial capacity, continuity and institutional expansion. They can coexist in different places and fronts, and each leaves a condition the next one rests on. Convergence forms when a purpose meets people willing to answer for parts of it; initial capacity gives the work a public form — the problem, the expected result, the functions needed, the resources available and how the result will be examined; continuity is reached when the work no longer depends on the enthusiasm of its first year; institutional expansion begins when others start from the point the first group reached and outside organizations come to cooperate with the capacity they see.

Exit condition: the method is proven by real delivered work by people who have never met. That is what the founding phase is for.

3. Engineering Dk 0.1 — the substrate

State: research, in public.

• BSDK — the base structure, the DNA of the kernel: the assembly structure that is the parent function of the whole function chain. Its definitive form is a super equation whose predictive modeling research suggests may be beyond human capacity alone — expected to be carried out by Meta DFM, the evolutionary research and development agent.
• OSDK — the universal coupler, the virtual machine coupling language and programming kernel.
• Dk Network — the distributed network: two networks, the layers of the main network and of each node, fractal structure.
• Evolutionary A.I structures — the intelligence cores, one for each scale, each connected to its own knowledge.
• Dknowledge — the knowledge layer, whose systemic final form is evolutionary knowledge graphs.
• Living Cryptography — the hydra: security that changes when an authentication fails.

Exit condition: the substrate moves from argument to testable specification.

4. Test-net — proving it

State: future.

Global testing: computation, security, A.I modules, cryptography. Evolutionary corrections learned from the tests, simulated global evolutionary tests, a global security competition, and the reference implementation structure.

Exit condition: the substrate survives being attacked and being used.

5. Drayker 0.1 — the platform base

State: future.

PAP (Projects & Applications), UID as the super app, Distributed Support, and the ecosystem: Dktron and other value units, funds, non-deterministic resource distribution, worldwide donation conversion and exchange with the outside. Dktron is one proposed unitary form, distinct from reputation and DAF points; no unit, stabilization mechanism or monetary system operates today. VME remains the wider proposal for organizing funds by category and cause.

Exit condition: an accountable unit of record and one bounded support path work before any unit of value operates.

6. The applications — the intelligence meets people

State: future.

Dk Personal (the agent that belongs to one person), the brain extension app, Dk Work, Dk Academy, and the organization model for projects. The same Dk that runs the substrate meets daily life: study and work converge, the personal Dknowledge grows with the person.

Exit condition: a person can form, contribute and be attributed through the platform.

7. Dk 1.0 — the intelligence complete

State: future.

Dknowledge 1.0, OSDK 1.0, the evolutionary general platform 1.0, distributed computing at scale, the universal Dk neural language, and the brain net. Meta DFM is integrated into the system as the swarm of agents that builds and improves the network. The substrate, the intelligence and the knowledge layer become one system. Dk 1.0 is version 1.0 of the network, and it is already an ASI. By the objective we give ourselves, it is launched in 2030. By our forecast, this is when Dk Global becomes conscious: architecture 1.0 fully running with Meta DFM integrated, the point at which recursive self-improvement is part of the structure.

Exit condition: the components specified in phase 3 exist as described.

8. Drayker consolidated — the first real world

State: future.

The first main projects 1.0, and the first embassy. If a DAF phase that experiments with units of account needs an external substrate, ICP is a probable provisional choice for building and testing Drayker’s own infrastructure. As PAP matures, DAF’s useful functions and transitional infrastructure are absorbed into PAP and DAF dissolves into the durable environment. The network of mass participation begins to touch the ground, and entry into the network gains scale, with people, projects and the records of whole institutions coming to work inside it. This is the point the 2033 objective names.

Exit condition: a place where the system exists physically, and PAP can absorb the federation’s useful functions and infrastructure.

After consolidation

After consolidation, thanks to the new capacities, implementing nanobots becomes one of the priorities. They will be the main technology connected to the network and the main evolution of robotics: they synthesize materials at scale, build, and form the structures that will give body to much of the new infrastructure in the following decades, evolving with the network like the rest of the system. They also serve medicine, but not only medicine.

The transversal principles

• Two dates, as objectives. Version 1.0, launched in 2030 and already an ASI, and Drayker consolidated by 2033. Each phase keeps its exit condition; the phases are measured against these two dates, which do not replace the conditions. They are objectives Drayker gives itself for its own construction, distinct from the forecast that supersystems, where states and corporations fuse, will be too evident to deny by 2030.
• The transition is accompanied. The frontier of what machines can do advances every day and changes jobs, routines and certainties. Each change is monitored and evaluated. Drayker’s construction up to version 1.0 also goes through this period, and how we go through it will decide how we reach that version.
• Build the real thing with what exists today. GitHub is the platform until there is something worth migrating.
• Intelligence is a partner, never the master. It decides within the space the members give it, and every phase serves the will to potential of every person.
• Read the sources. This page is derived from the roadmaps and the repositories; when they disagree, the repositories are right.

Sources and further reading

The roadmaps this is derived from

• Global Main Roadmap — the historical roadmap whose phase structure this page keeps, with exit conditions in place of its old dates.
• Current orientation — what is available now, what remains architecture, and how founding governance works.
• Roadmap index — the structure of project roadmaps and how they are organized.
• Project roadmaps (all are open shells not written yet, except Autonomous Health): Dk (AP platform, BSDK-DFM, Dk Network, Dknowledge, interface, Living Cryptography, OSDK, UID-DkApp) · Ecosystem (autonomous health, academy, Dktron, support model, support stations, value management ecosystem, will to potential) · Organization (DAF).

The components named in the phases

• Dk · BSDK · Meta DFM · Dk Network · Dknowledge · Living Cryptography · OSDK · UID · PAP · Dk Personal · Dk Academy · DFM/DFMP · DAF · Value unit · Distributed support · Stations · Open science · Emergence.

The portal

• Direction — drayker.org — the interactive version of this page.
• The ecosystem map — every part, one by one.