In the development of artificial intelligence (AI), models, Computing Power, and data form the three main pillars. Although models and Computing Power have created immense market value, the true bottleneck for AI development is high-quality, verifiable, and applicable training data.

With the advancement of AI technology, high-quality data resources have become increasingly scarce. Although the total amount of data generated by humans is enormous, the high-value data that can truly reflect human intent and behavioral logic is very limited and is being rapidly consumed.

In this context, blockchain technology demonstrates immense potential. It is like an undeveloped "data gold mine" that can not only accurately reflect human economic behavior but also possesses characteristics of full transparency and traceability. However, this valuable data is still hidden in chaotic unstructured transaction records, making it difficult to apply directly.

To solve this problem, an open network called Hyperdata Network is under construction. Its goal is to transform fragmented on-chain data into high-quality structured data that can be utilized by AI. This network, referred to as the "On-Chain Data Operating System for the AI Era," includes three key elements: a unified open data standard, a secure verification service backed by a large amount of ETH, and a high-throughput data availability layer that supports real-time large-scale data processing.

This innovation will allow the data originally buried at the bottom of the blockchain to be cleansed, verified, and assembled, becoming the "fuel" that AI models can directly use. This transformation opens up new possibilities for AI applications, such as training smarter trading agents, developing decentralized applications (dApps) that can learn autonomously, and providing complete and trustworthy data pipelines for AI models.

This innovation that transforms blockchain data into resources usable by AI is called DataFi. It is not just a data platform; it also provides the infrastructure for AI-native applications with credible, programmable, and signal-dense data.

With the continuous development of AI technology, the importance of high-quality data will increasingly become prominent. The structuring and usability enhancement of blockchain data will undoubtedly become one of the key factors driving further development of AI.