The Open Build Manifesto

The next era of the web must be transparent, human-centered, and collectively built — where AI and knowledge remain as open as mathematics, chemistry, and physics.
The Open Build Manifesto
1. How It All Started
The World Wide Web we use today began as a universal workshop — open, linkable, inspectable. Its early stack was simple yet profound: URLs to locate resources, HTTP to transfer them, HTML to render them. Anyone could publish a page, link to another, and see the code behind it. That transparency made the web humanity’s greatest collective invention.
Today, AI and algorithmic systems shape what we read, watch, and believe. If their logic is hidden, then knowledge itself becomes gated.
Open Build is the conviction that technology should be created where everyone can see how it works, learn from it, and improve it — just as scientific discovery has always thrived through openness.
Progress depends on collaboration, not secrecy.
2. From Web 1.0 to Web 3.14
Web 1.0 (1991 – 2004) — Read-only and inspectable. Static pages, few authors, total transparency.
Web 2.0 (2004 – present) — Read-write and social. Abundance of content but rise of black-box platforms and engagement metrics.
Web 3.0 (2014 – present) — Read-write-own. Programmable value and decentralization, yet still opaque to most users.
Looking back, each wave solved real problems but introduced new ones. The next phase must keep the openness of Web 1.0, the usability of Web 2.0, and the user-aligned incentives of Web 3 .0 — while boosting transparent, human-centric systems (including AI).
The next step is Web 3.14 (Pi) — a continuous curve rather than a leap.
3. Why Change Now
AI has crossed a threshold. Models and agents now mediate communication, culture, and work — often invisibly.
Explainable AI must move from theory to practice.
When reasoning processes are hidden, societies surrender agency. Closed-box intelligence concentrates power; open intelligence distributes it. Transparency is not a feature — it is the foundation of trust.
The urgency is further raised now that AI-induced job displacements are happening right before our eyes.
“Stable” jobs within big corporations were a thing popularized by industrialization. With cars on the road, people were able to commute to a central place to work in droves. Trapped within walls, they would operate machines, generating profits for the big bosses while earning a living (usually) wage.
Web 2.0 offered means to change that. Content creators broke out of the traditional mindset of getting formal education → landing a job → climbing the corporate ladder. That’s not to say education is no longer important. Many highly educated folks have since hopped on the content creation bandwagon, too!
A myriad of profitable businesses (big and small) can now be found online, where some don’t even have an actual physical presence.
AI adoption will move us further away from the traditional, deep-seated sense of jobs.
It is time we upgrade the web to align with these prospects.
4. Why We Call It “Build in the Open”
Industrial-era jobs taught people to operate closed systems.
Web 2.0 freed many from those walls — creators, freelancers, remote builders — but left them dependent on opaque infrastructures.
AI will transform work again.
To align with that future, we must construct the next web in public view, where systems are inspectable and improvements compound.
5. Our Commitments
Transparent Systems
No black boxes. Models, datasets, and reasoning paths must be visible and documented.
Responsible Safety
Oversight that protects human life — especially children — without turning into exploitative surveillance.
Safety and privacy can coexist through accountable design.
Human-Centered Design
Technology should amplify creativity and understanding, not replace them. Progress is measured by empowerment, not screen time.
Open Collaboration
Knowledge expands through sharing. We support open standards, public APIs, shared research, and community governance across AI and web infrastructure.
Right to Inspect and Adapt
Every individual should be free to study, question, and modify the systems they depend on. When knowledge is locked away, civilization slows down.
6. Why Knowledge Must Stay Free
Mathematical theorems, molecular formulas, and physical laws belong to everyone.
If Newton had hidden gravity, planes wouldn’t fly.
If Maxwell had encrypted electromagnetism, there would be no light.
If Turing’s logic had been proprietary, there would be no computation.
So too with AI.
Its mechanisms must remain open to study and improve. To privatize intelligence is to privatize progress itself.
7. Introducing BRAIN
To embody these principles, we are building BRAIN — the Brain Resembling Additive Intelligence Network.
BRAIN will be:
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Built from scratch, not trained on others’ creative work for private gain.
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Modeled after human reasoning, learning through additive understanding and ethical reflection rather than mass data scraping.
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Transparent and inspectable, from dataset to inference path.
BRAIN is not a product; it is a public good — a demonstration that ethical, open AI can exist and evolve responsibly.
8. Building the Open Infrastructure
Higher-Level Builds
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An Action Engine: like a search engine that can perform real-world tasks.
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An Open Ecosystem: a non-zero-sum environment for creators and developers.
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A Jouralistic Core: to steer the mission ethically.
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Supporting Ventures: sustainable revenue to fund the commons.
Infrastructural Builds
- Brain:
The Brain Resembling Additive Intelligence Network (BRAIN) is our foundation for open, explainable AI — built transparently from the ground up to resemble how humans reason. Instead of scraping the web for others’ work, BRAIN learns additively: step by step, concept by concept, with every layer visible for public review. It is designed not as a product to be owned, but as a living framework for ethical intelligence — a system that anyone can study, verify, and improve. BRAIN will serve as both a demonstration and a blueprint for how AI can coexist with humanity’s values of openness, accountability, and shared progress.
Together these form the groundwork for Web 3.14 — a network of open systems, ethical AI, and verifiable human participation.
9. Why Everyone Benefits
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Developers gain creative freedom without opaque APIs.
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Researchers can replicate and challenge results, ensuring scientific integrity.
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Communities adapt technology to local languages and needs.
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Society rebuilds trust through transparency and shared stewardship.
Closed systems breed dependency. Open builds create resilience.
10. The Future
We imagine a world where:
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Algorithms are public blueprints, open and verifiable.
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Oversight protects people without overreach.
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The web remains a commons — a living reflection of human curiosity and collaboration.
This is the Open Build. It is not inevitable — it must be built.