[Editor's Note] Proposals are an important way to perform the functions of the CPPCC, an important carrier to uphold and improve the multi-party cooperation and political consultation system led by the Communist Party of China, an important form to carry forward socialist democracy with Chinese characteristics, and an important channel to assist the Communist Party of China and state organs in democratizing and scientific decision-making. In front of the CPPCC National Committee in Guizhou, in-depth investigation and research were carried out, opinions and suggestions were widely heard, and proposals were actively submitted to the Second Session of the 14th CPPCC National Committee.
With the innovation breakthrough in the application of big models, a new wave of AI has swept the world, setting off a new round of revolution in the way of industrial development. It is considered to be an important engine for the formation of new quality productivity. Countries around the world are actively seizing the commanding heights in the field of AI strategy.
At this year's National Two Sessions, Jing Yaping, member of the National Committee of the Chinese People's Political Consultative Conference (CPPCC) and director of Guizhou Provincial Big Data Development Administration, submitted the Proposal on Seizing the Opportunity of Artificial Intelligence and Accelerating the Development of New Quality Productivity to the Second Session of the 14th CPPCC National Committee.
Jing Yaping said that relying on the advantages of massive data, huge market scale and rich application scenarios, China has been "running fast" in AI application innovation.
Taking Guizhou Province as an example, in recent years, Guizhou has seized the "wind tunnel period" of the AI big model outbreak, switched the development focus to the AI track, accelerated the cultivation of new quality productivity, built a nationwide computing power guarantee base, strengthened the top-level design of intelligent computing development, issued 26 computing incentive measures and other policies, and released the 12 scenarios of "calculating from the east to the west", Accelerate the upgrading of the data center from "storage center" to "integration of computing and storage, and priority of intelligent computing". Huawei Cloud, Telecom and other intelligent computing centers have been built. The province's computing power has achieved scale breakthrough and structural optimization. Last year, 80000 intelligent computing chips were deployed, and the size of the total computing power has increased by 28.8 times, of which the proportion of intelligent computing scale is more than 80%, and the level of domestic comprehensive computing power is among the top in the country, The "first year of intelligent computing" in Guizhou was launched to achieve transformative growth.
"But on the whole, there are still shortcomings and gaps in China's intelligent computing ability, large model application, high-quality data sets and other aspects, which need to be promoted by the whole country." Jing Yaping suggested that we should give full play to the eastern talent, industry and other advantages, support the eastern region to increase scientific and technological innovation, accelerate the research and development of key core technologies of artificial intelligence, and create a source of artificial intelligence. Secondly, it is necessary to give full play to the advantages of data computing resources in the west, rely on the national hub node of the national integrated computing network, focus on the deployment of domestic artificial intelligence computing clusters in the west, build a national artificial intelligence training ground, and provide low-cost, high-quality, and easy-to-use computing services for model training in the east.
At the same time, it is necessary to increase the opening of the scene, build an AI industry application base, guide enterprises to base on their own strengths, according to the comparative advantages of each region, support local areas to cultivate large vertical industry models through AI training grounds, form a differentiated development pattern of large models, enable thousands of industries, and build an AI industry chain with international competitiveness.
In the digital era, ensuring data security is critical. Jing Yaping also suggested that we carry out data infrastructure pilot projects in the national strategic hinterland, build a secure and reliable "data network", create a large-scale, high-quality, timely, comprehensive, annotated and convenient national basic corpus, and provide corpus support for large-scale model training.
Tianyan News Reporter of Guizhou Daily
Wen/Lu Yitu/Jia Zhi
Editor Liu Juan
Second instance Chen Xi Li Jie
Third instance Tian Minjia
