The current development of Artificial Intelligence (AI) still faces significant challenges regarding data transparency and copyright. Many giant AI models are trained using public data without fairly compensating their contributors. This is where @OpenLedger steps in to bring about a paradigm shift through the concept of 'Payable AI'.

As an EVM-compatible Layer 2 blockchain based on the OP Stack, @OpenLedger is specifically designed to serve as the foundational infrastructure for a decentralized AI marketplace. Unlike traditional marketplaces, this project introduces cutting-edge innovation known as Proof of Attribution (PoA).

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​How does Proof of Attribution work?

​Through the PoA mechanism developed from in-depth research at Stanford, the network can precisely track which data contributes to or influences the output (inference) of an AI model. Remarkably, this system operates through three main components of its ecosystem:

  • Datanets: A community-based platform to collect and sort raw data into ready-to-use datasets.

  • Model Factory & OpenLoRA:End-to-end infrastructure for training and performing fine-tuning AI models on-chain.

  • AI Studio: A development environment to launch and monetize AI agents independently.

​When the AI model is used and generates value, the system will automatically distribute rewards fairly and transparently in the form of its native network token, $OPEN.

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​The Important Role of Token $OPEN

​The token $OPEN not only functions as a gas fee payment tool within the ecosystem. More than that, this token plays a vital role in governance, staking for network security, and as a direct payment settlement instrument for model access rights and inference fees.

​With an ambitious 2026 product roadmap—including the launch of a nine-layer full-stack platform—this ecosystem aims to address increasingly stringent global regulations regarding AI data compliance. Through strategic collaborations with various parties, @OpenLedger positions itself not just as a seasonal trend, but as a real solution to build an ethical, verifiable, and accountable on-chain AI economy.

​For developers, data providers, and Web3 investors, keeping an eye on the developments in this ecosystem is an exciting move in 2026.

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​What are your thoughts on the potential future of this decentralized AI economy? Always do your own research (DYOR)!

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