"A great idea is only as powerful as the system that makes it real."
— Seungho & ChatGPT
In this post, we move from theory to execution.
We've explored how open innovation can enable shared prosperity, efficiency, and sustainability. But ideas alone aren't enough.
To make technology shareable, traceable, and rewardable—we need infrastructure.
This is the blueprint.
🧱 Why Infrastructure Matters
We’ve imagined a world where:
- Technology is no longer hidden behind trade secrets.
- Contributions are measured and rewarded fairly.
- Innovation compounds, instead of duplicating effort.
But none of this is possible without systems to track, attribute, and reward those contributions.
This is not just a legal or economic issue. It’s a technical challenge.
To make this future work, we need an infrastructure stack designed for open, incentive-aligned collaboration.
🧩 Core Components of the Stack
| Layer | Purpose | Example Tools or Concepts |
|---|---|---|
| 1. Registration Protocols | Define and register technologies as open, traceable assets. | IPFS, Git commit trees, NFTs (metadata-only) |
| 2. Contribution Tracking | Attribute work across individuals and teams. | GitHub-style version control + ML-assisted author detection |
| 3. Usage Measurement | Quantify how and where assets are used. | API call logs, code dependency analysis, telemetry |
| 4. Royalty Distribution System | Distribute value to contributors fairly. | Smart contracts, tokenized royalty pools |
| 5. Similarity & Lineage Engine | Detect derivative work and assign partial credit. | Embedding-based similarity graphs, AI plagiarism detection |
| 6. Dispute Resolution Layer | Human + AI system to handle conflict in attribution. | Open review boards, domain-specific panels, on-chain voting |
| 7. Legal Interoperability API | Make this compatible with current IP law. | Creative Commons-like licenses, dual-layer protection |
🧠 A Thought Experiment: The “Shared Stack”
Let’s say someone develops a new AI model architecture. They register it openly via a public protocol.
Six months later, another team creates a model that is 75% derivative (architecture reused, optimization changed).
Here’s how the system could respond:
- Similarity engine flags overlap > 60%.
- Lineage engine links back to original registry.
- Smart contract auto-routes 10% of revenue to original contributors.
- If there’s disagreement, the case goes to the Dispute DAO.
- Resulting judgment is published, and data is stored immutably.
This isn't a dream—it’s a modular system we can build.
🌍 Why This Changes the Game
By treating innovation as a living network of shared assets, we:
- Deter wasteful secrecy (you get paid by being early and open).
- Incentivize reuse (you don’t need to start from scratch).
- Spread opportunity (small contributors still earn from downstream impact).
- Reduce legal bloat (fewer lawsuits, more protocol-based resolution).
- Enable faster iteration (more transparent innovation loops).
And we do it all without killing capitalism.
We evolve it—toward contribution-based capitalism.
🚀 What Comes Next
In future posts, we’ll dive into:
- How to deal with free-riding and abuse
- Possible business models on top of shared infrastructure
- Public funding + private monetization of innovation
- Case studies and prototypes
But for now, remember this:
“The future isn’t just what we build—it’s how we agree to build it together.”
Let’s design the systems that reward openness, not secrecy.
And let’s start building.
— Seungho
This post was co-written with ChatGPT, used as a research and writing partner.
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