Currently, AI is facing trust issues.

The opacity of model building and the ambiguity of data sources leave users full of doubts about the reliability of AI.

How does OpenLedger reshape the AI ecosystem?

OpenLedger addresses the AI "black box" problem through data attribution, zero-knowledge proofs (zk-proofs), and transparent logic, ensuring users can trust the reliability of its outputs.

Currently, the total market value of projects built on OpenLedger has exceeded 10.7 billion USD, covering multiple fields from DeFi to environmental data intelligence.

Specific innovation cases:
🐙Lagrange's DeepProve:
In DeFi, AI agents often pose risks due to lack of transparency. Lagrange utilizes OpenLedger to generate on-chain verifiable zk-proofs, making AI decision-making transparent and traceable, thus enhancing the security of the DeFi ecosystem.

🐙Ambios's Real-time Environmental Intelligence:
Through a decentralized sensor network, Ambios generates high-resolution environmental data. OpenLedger ensures the credibility and programmability of this data, providing reliable support for urban planning and scientific research.

🐙Morpheus's smart contract generation:
Morpheus uses dedicated models to generate secure and optimized smart contracts, while OpenLedger provides data attribution and traceability for the execution layer, reducing financial risks in contract development.

🐙Decentralized Data Collection of Data Bootstrap:
By parallelizing data scraping, Data Bootstrap breaks the bottleneck of traditional data collection. OpenLedger provides a verifiable smart layer that ensures data is efficient, transparent, and community-driven.

It can be seen that OpenLedger is not only a technological platform but also a cornerstone of a trust ecosystem. It aids in building a more open and collaborative intelligent future through transparent and verifiable AI infrastructure!

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