What is OpenLedger (OPEN)?

Deep Dive

1. Purpose & Value Proposition

OpenLedger addresses the lack of transparency and fair compensation in AI development. Traditional AI models often use data without crediting contributors, while centralized entities profit. OpenLedger’s Proof of Attribution (PoA) traces every data input and model tweak on-chain, ensuring contributors receive rewards when their work is used. This creates a decentralized ecosystem where data, models, and AI agents become liquid, tradeable assets (OpenLedger Blog).

2. Technology & Architecture

• Datanets: Community-curated datasets stored on-chain, enabling verifiable data sharing and monetization.
• ModelFactory: A no-code platform for training AI models using Datanets, with all processes auditable.
• OpenLoRA: Reduces deployment costs by up to 99% by running multiple fine-tuned models on a single GPU.
  These components form an end-to-end framework for building, refining, and deploying AI models transparently (BTCC Analysis).

3. Tokenomics & Governance

The OPEN token (1 billion total supply) serves four core functions:
- Gas fees: Paid for transactions, model training, and inference.
- Governance: Holders vote on protocol upgrades and dataset/model quality standards.
- Rewards: Distributed to data contributors and model developers via PoA.
- Staking: Secures the network, with penalties (“slashing”) for malicious actors.
Over half the supply (51.7%) is earmarked for community incentives, aligning long-term participation (Gate.io Blog).

Conclusion

OpenLedger reimagines AI development as a collaborative, decentralized process where contributors are fairly compensated. Its architecture bridges blockchain’s transparency with AI’s scalability, creating a new paradigm for open-source intelligence. Can community-driven governance maintain quality as the ecosystem scales?