HackMD
Introduction
The future AI era is a huge decentralized computing network. The demand for on-chain artificial intelligence is increasing day by day. Many projects have begun to provide reliable and trustworthy neutral neural network training and execution solutions. However, a complete AI solution is a model, calculation Power and data are jointly composed. Existing algorithm innovation has become increasingly weak. The ability to master high-quality and diverse data has become a very important part of whether the model can break through the ceiling. According to KPMG’s 2023 research report, the adoption of generative artificial intelligence has huge implications at the data level Risks need to be addressed, including intellectual property issues, personal data sharing, lack of regulatory frameworks and bias in generative AI models, etc. These issues can be well solved by adopting blockchain technology
Omnichan Data Network is a modular data network that strives to provide a transparent, reliable and open ecosystem of data models to serve any AI domain usage scenario, and enables revenue distribution to participants through tokenization of data models
KEY HIGHLIGHTS
- data interoperability
- dual chain framework Consensus Layer(cosmos CometBFT consensus engine) + Execution Layer(EVM) ref:https://docs.omni.network/learn/omni/architecture
- data programmable: onchain data becomes a programmable dataset
- A set of Framework dual-chain communication standards, LIKE ABCI
- tokenized dataset：dataset become assets
Advantage
- Compare data annotation and integration projects (eg.glass, masa): Provide programmable interoperability capabilities based on data models, allowing data developers to truly adopt Data Mass Adopted to AI
- Compare the indexing project (thegraph): Provide verifiable data with a wider dimension, including offchain and blockchain ledgers, and can combine larger data sets:
