Construction of a Trusted Infrastructure for High-Value Corpus Circulation Initiated, Driving the High-Quality Development of Large AI Models

Construction of a Trusted Infrastructure for High-Value Corpus Circulation Initiated, Driving the High-Quality Development of Large AI ModelsOn August 19th, the 2024 Beijing Artificial Intelligence Ecosystem Conference announced the official launch of the construction of a trusted infrastructure for high-value corpus circulation. This infrastructure, jointly built by over ten domestic corpus data key units including the Xinhua News Agency National Key Laboratory, People's Daily Online, Higher Education Press, and China General Technology Group, will leverage cutting-edge information technologies like blockchain and privacy computing to provide strong corpus data support for the high-quality development of large AI models

Construction of a Trusted Infrastructure for High-Value Corpus Circulation Initiated, Driving the High-Quality Development of Large AI Models

On August 19th, the 2024 Beijing Artificial Intelligence Ecosystem Conference announced the official launch of the construction of a trusted infrastructure for high-value corpus circulation. This infrastructure, jointly built by over ten domestic corpus data key units including the Xinhua News Agency National Key Laboratory, People's Daily Online, Higher Education Press, and China General Technology Group, will leverage cutting-edge information technologies like blockchain and privacy computing to provide strong corpus data support for the high-quality development of large AI models.

In recent years, the rapid development of large AI model technology has created an urgent need for massive, high-quality corpus data. However, current corpus data circulation faces numerous issues, including data security risks, data copyright disputes, high data acquisition costs, and uneven data quality. These problems severely hinder the training and application of large AI models.

The construction of a trusted infrastructure for high-value corpus circulation aims to address these issues and build a standardized, secure, and efficient corpus data circulation system. This infrastructure will utilize blockchain and privacy computing technologies to achieve the following objectives:

1. Secure Trusted Circulation of Corpus Data:

• Blockchain technology can provide trusted evidence, immutability, and easy rights confirmation for corpus data, ensuring its authenticity, integrity, and traceability, effectively addressing issues like unclear data sources and unreliable data quality.

• Privacy computing technology allows data analysis and mining while protecting data privacy through the "data stays within its domain, usable but not visible" approach, enabling the release of data value.

2. Establishing a Nationwide Interconnected Bridge for Corpus Data:

• This infrastructure will build a distributed network connecting corpus data providers, processors, and consumers across the country, enabling trusted data access, cross-regional discoverability, and access for model training, providing rich corpus resources.

3. Promoting the Formation of High-Quality Corpus Datasets:

• By integrating resources from various parties, this infrastructure will drive the construction of high-quality corpus datasets, providing a more robust data foundation for training large AI models.

4. Building a Sustainable Ecosystem for Corpus Data Circulation and Value Enhancement:

• This infrastructure will utilize smart contracts to implement on-chain incentive mechanisms, encouraging the supply and circulation of corpus resources, forming a virtuous cycle within the ecosystem.

The launch of the construction of a trusted infrastructure for high-value corpus circulation marks a new stage in the development of corpus data circulation for large AI models in China. It will not only promote the rapid development of large AI models but also provide important safeguards for the healthy development of China's AI industry. In the future, as this infrastructure continues to improve and develop, it will further drive breakthroughs in China's AI technology, enabling leapfrog development in the AI industry.

Simultaneously, the construction of this infrastructure provides valuable insights for data circulation in other domains. In a context where data security and privacy protection are increasingly emphasized, the experience gained from this infrastructure can facilitate the digital transformation of other sectors, promoting the effective utilization and value release of data resources.

In conclusion, the launch of the construction of a trusted infrastructure for high-value corpus circulation is a significant milestone for the development of large AI models and a major breakthrough in China's data circulation domain. This infrastructure is expected to become a powerful engine for driving the development of the AI industry, enabling China to achieve "overtaking on a curve" and leapfrog development in AI.