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

I found that the @tenprotocol project is quite strong.
Introducing cryptographic execution into decentralized networks through the integration of Trusted Execution Environments (TEEs)
A secure processing environment has been created within modern processors that is separated from the normal execution environment for running conventional operating systems and standard applications. This isolation ensures that sensitive operations are conducted within a protected space of physically isolated memory areas, thereby preventing data leakage.
TEEs can achieve a balance between privacy and transparenc