Recently, AI agents have become very popular. Although a bunch of meme concepts have emerged, the core narrative will ultimately return to infrastructure. AI has three key components: data, algorithms, and computing power. Among them, data is the foundation of AI. A large amount of high-quality data can help AI systems learn and understand the world better. The diversity and quantity of data directly affect the performance of AI models.
Therefore, the primary intersection of blockchain and AI is also the data protocol. Recently, I noticed that in the architecture of Chainbase, Manuscript focuses on the data protocol layer. Manuscript is a revolutionary blockchain data flow framework.
Through Manuscript, on-chain and off-chain data can be seamlessly integrated into the target data storage for unlimited querying and analysis. Manuscript's vision is to achieve "data trading" within the Chainbase network, establishing a Chainbase ecological component that allows users to access any data in any way, through any service, and using any language.
Manuscript provides a wealth of tools and resources for this process, making data processing more efficient and transparent. Through these technical means, Manuscript can make the acquisition of on-chain data more freely flexible, greatly enhancing the value of data and enabling more people to easily use and apply this on-chain data. By combining with artificial intelligence algorithms, it can automatically analyze massive amounts of blockchain data, uncover hidden patterns, trends, and anomalies, helping users gain insights from the data.
These processes include data production, data transformation, and data labeling.
Data production: For example, the analysis of blockchain transaction data and fraud detection analysis.
Data transformation: For example, converting traditional data formats into AI training data.
Data labeling: For example, labeling multimodal data while ensuring trust through blockchain.
These invisible underlying applications of data are precisely the guarantee for AI's stability and effectiveness, which can only be established on the premise of unified on-chain and off-chain data storage and trading. Therefore, Chainbase's Manuscript will become an important infrastructure for the AI industry, providing higher quality data and deep insights for various industries.
