The OML framework (Open, Monetizable, Loyal) of Sentient AGI aims to build an open, monetizable, and loyal decentralized artificial intelligence ecosystem by combining blockchain technology and encryption economic models, ensuring that benefits are fairly shared among contributors. The core mechanisms for achieving benefit sharing are mainly reflected in the following aspects:

1. The combination of openness and monetization

Open source model and ownership separation: Under the OML framework, the AI model itself is open source, with the code and weights publicly available. However, Sentient allows for the ownership and usage rights of the model to be tracked and verified through its protocol layer. Once developers make the model public, its ownership information (including the original creator and subsequent contributors) will be recorded on the Blockchain.
Pay-per-use: Any user (whether individual or business) must pay a fee when using these open-source models for inference or query. Each call triggers an on-chain payment event.
Automatic Profit Distribution: Through smart contracts, the fees generated from payments will be automatically distributed to all ownership sharers of the model according to preset rules. This includes multiple contributors such as the original creator of the model, subsequent fine-tuners, and infrastructure providers.

2. Fingerprint technology and rights protection

To achieve the aforementioned monetization distribution, it is essential to accurately identify and verify the ownership of the model. Sentient employs a technology called "Fingerprinting."

Technical Principle: During the model training or fine-tuning phase, a set of unique, hidden "question-answer" pairs (key-response pairs) will be embedded. This set of keys acts like an encryption signature of the model; even if the model is fine-tuned or modified, its fingerprint still exists in the vast majority of cases (removal probability <0.01%).
Verification and Tracking: A network composed of "Provers" regularly queries deployed model instances using known fingerprint keys. If the model responds with the corresponding secret answer, it can verify that the model copy originates from a specific authorized version, thus confirming its ownership. This effectively prevents unauthorized reproduction and commercial use, safeguarding the economic interests of contributors.

3. Dynamic Ownership and Governance

Contribution means ownership: Developers can become "builders" in various ways and share ownership of the model:
Submit New Model: Submit a brand new AI model to the protocol for the first time.
Improve the existing model: Download the existing model, fine-tune and improve it, and submit a new version.
Combine new artifacts: Create new AI applications by combining multiple existing models.
Ownership records and profit sharing: The ownership proportions of all contributors to each model version will be clearly recorded on the chain. When the model generates revenue, the smart contract will automatically distribute profits to all contributors based on this dynamic ownership structure. This means that even developers who make minor improvements to the model can benefit from the subsequent value brought by their contributions.
Community Governance and Loyalty: "Loyalty" is reflected in the governance of the model and its future development, which is jointly decided by the community of ownership share holders. Through decentralized governance mechanisms such as DAOs, model owners can vote to determine major matters such as the direction of model upgrades and fee settings, ensuring that the development of the model aligns with the long-term interests of the contributor community.

4. Multi-level Incentives and Ecological Development

The benefit-sharing of the OML framework is not limited to model creators but extends to all participants in the ecosystem:

Validator nodes: Node operators responsible for verifying model fingerprints and conducting compliance checks can earn rewards from the network.
Infrastructure providers: Nodes that provide computing, storage, and network resources can also earn a share of the fees.
Broader ecological incentives: Sentient has established funding programs (such as the Sentient Builder Program) to provide financial incentives for developers to build AI agents and applications within the Sentient ecosystem, thereby enriching the entire ecosystem and creating more value for all participants.

Summary

The OML framework of Sentient AGI achieves benefit sharing through a combination of "open models + on-chain confirmation + encryption economic incentives." It utilizes Blockchain technology to ensure transaction transparency and automated distribution, addresses the challenges of confirmation and traceability of open-source models through fingerprint technology, and ultimately, through a dynamic ownership structure and smart contracts, continuously and fairly returns the profits generated by the model to every developer who contributes to the model. Its goal is to build a positive cycle: the more people use the open-source model → the more benefits creators receive → incentivizing more people to contribute and improve → generating stronger and more useful open-source models.

This mechanism aims to fundamentally change the current state of open source AI "powered by love", providing sustainable economic returns for open source developers, thereby challenging the closed-source AI model landscape dominated by large technology companies.
Shenzhen Chen Village Committee Party Branch
#Sentient # SentientAGI #KAITOAI
@SentientAGI @KaitoAI