2024-05-30 - tech

Two sessions live! What did the NPC deputies say about AI, semiconductors, and a

As the National Two Sessions are in full swing, the semiconductor industry has once again become a hot topic of discussion. As the cornerstone of modern information technology, the progress of the semiconductor industry has a profound impact on the country's technological strength and economic competitiveness.

The Central Political Bureau meeting recently pointed out that new quality productivity is innovation-led, breaking away from traditional economic growth models and paths of productivity development. It is characterized by high technology, high efficiency, and high quality, and aligns with the new development concept as an advanced form of productive quality. From this definition, integrated circuits, artificial intelligence, high-end displays, intelligent manufacturing, and others all fall within the scope of new quality productivity.

Now, as the Two Sessions of 2024 convene, new quality productivity has once again become a buzzword in the proposals of many entrepreneurs and representatives, such as senior executives from tech companies like China Mobile, 360, TCL, ZTE, and Phytium Information. They have all put forward their thoughts and suggestions on accelerating the development of new quality productivity in AI, integrated circuits, high-definition displays, and computational infrastructure.

The semiconductor industry has combed through government work reports from Beijing, Shanghai, Guangdong, and other regions, as well as the advice and suggestions from representatives at the Two Sessions. This article focuses on the current status and future development direction of China's semiconductor industry from the perspective of government work reports and representative suggestions, and this is the representative suggestion section.

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01

Phytium Information Deputy General Manager Guo Yufeng: Building a High-Quality Talent Cultivation System for Integrated Circuits

As the computational foundation of the technology industry, integrated circuits will act as the vanguard of new quality productivity. The core engine of new quality productivity is innovation, and the key to innovation lies in talent. To strengthen the cultivation of integrated circuit talent, the Ministry of Education launched the "Strong Foundation Plan" for the selection of basic discipline talents in 2020, and the same year, the integrated circuit major was established as a first-level national discipline, with many universities such as Tsinghua University setting up integrated circuit colleges.

National Committee member and Deputy General Manager of Phytium Information Technology Co., Ltd., Guo Yufeng, believes that although strengthening school-enterprise cooperation has alleviated the shortage of chip talent, China's integrated circuit industry still faces severe challenges in talent development.

Firstly, there is a prominent supply-demand contradiction, with the phenomenon of "difficulty in finding jobs" for college graduates and "difficulty in recruiting" for companies coexisting. Secondly, the knowledge system emphasizes application over foundation. In terms of knowledge system construction, college majors tend to focus on application systems such as the internet and artificial intelligence, lacking solid training in foundational systems like architecture and algorithms. Thirdly, there is a discrepancy between learning and application. The curriculum system, teaching machines, and electronic classrooms in colleges are still mainly based on foreign software and hardware environments, such as Intel processors, Windows operating systems, and Oracle databases. However, many key industries have begun to widely use domestically developed software and hardware products, leading to companies still incurring high human and time costs to train newly recruited employees.For this reason, Guo Yu Feng suggests that in response to the severe challenges faced by the talent development in the integrated circuit industry, it is necessary to quickly build a high-quality talent training system that matches the development requirements of new quality productivity. First, strengthen the policy formulation of high-quality talent systematized training, attract talent to flow towards strategic and leading industries, and enhance the enthusiasm of universities, graduates, and other parties to engage in the domestic chip cause; second, adhere to the "both depth and breadth" in the direction of training, cultivate new quality labor; third, accelerate the process of domestication of educational infrastructure, and deeply cultivate the innovative soil of new quality productivity.

02

Academician of the Chinese Academy of Engineering and Chief Commander of the "Starlight China Core Project" Deng Zhonghan: The key to developing new quality productivity lies in strengthening scientific and technological innovation

"The most important thing in developing new quality productivity is to strengthen scientific and technological innovation, especially original and disruptive scientific and technological innovation, and to accelerate the realization of high-level self-reliance and strength in science and technology." National Committee member, Academician of the Chinese Academy of Engineering, and Chief Commander of the "Starlight China Core Project" Deng Zhonghan said.

It is understood that artificial intelligence (AI) can give birth to new models, new industries, and new business forms, adding strong driving force to economic and social development. The focus of competition in the AI era is computing power, and the key lies in chips.

Deng Zhonghan suggests that in order to develop new quality productivity, actively layout the high-quality development of the AI chip industry, it is necessary to stand at a global height and consider technological innovation and industrial development, talent introduction and cultivation, financial support and other factors comprehensively.

Industry standards are an important support for scientific and technological innovation and economic and social development, and are an important carrier of technical rules and industrial foundations. "To promote the development of the chip industry, it is necessary to have a solid underlying 'hard technology', and the most important thing is technical standards." Deng Zhonghan suggests that relevant departments need to focus on new fields such as smart computing and smart perception, accelerate the development of independent standards and the research and development of chip technology, and promote the formation of industrial advantages with the advantages of independent standards and policy advantages.

Next, with the strong promotion of the development of new quality productivity by the country, we will redouble our efforts, continuously break through new technological heights, continuously expand new application fields, and make new and greater contributions to the national scientific and technological progress and high-quality economic and social development with practical actions." Deng Zhonghan said.

03

Founder and Chairman of TCL Li Dongsheng: Increase the proportion of equity financing in the science and technology manufacturing industry, and continue to promote the high-quality development of Chinese manufacturing.The technology manufacturing industry is characterized by strong technological innovation and high industrial integration, but it also comes with significant investment, high risk, and long return periods. Due to a long-standing mismatch between financing needs and financial supply, the "financing difficulty" issue in the technology manufacturing industry has always been a hot topic at the Two Sessions. During this year's Two Sessions, Li Dongsheng, a national People's Congress representative, founder, and chairman of TCL, brought forward a proposal titled "Suggestions on Further Improving the Financing Environment for the Technology Manufacturing Industry." Li Dongsheng pointed out that against the backdrop of increasing global economic downturn pressures, the development of the technology manufacturing industry faces more challenges, necessitating further improvements in the financing environment to promote high-quality development in the sector.

Li Dongsheng's specific suggestions include: enhancing the continuity and stability of financing policies; increasing the proportion of direct financing, especially equity financing; improving the basic systems of the capital market, issuing relevant supporting policies for the technology manufacturing industry, and broadening the financing paths for enterprises; expanding channels for raising capital, extending project loan terms, and providing financing support for the globalization of enterprises, among others.

"For high-tech, capital-intensive projects like semiconductor displays and integrated circuit chips, the investment in a single project can be tens of billions. In such projects, the capital structure typically requires that the capital contribution should account for more than 40%. If the capital contribution is less than 40%, it is difficult to secure project financing from financial institutions. How to raise such a high capital contribution? The sources are twofold: one is the accumulation of the company's profits, and the other is equity financing in the capital market," Li Dongsheng said in a recent interview with journalists, indicating that capital market financing is an indispensable part of the entire financing structure of the technology manufacturing industry. If financing channels are obstructed, it will directly affect the development of enterprises.

Li Dongsheng also proposed that, given the current financing environment, including changes in IPO rules, the entry of new capital into the technology manufacturing industry has also been affected.

"In addition to financing in the public market, there is another very important financing channel, which is various investment funds. Over the past decade or so, many of our technology projects have relied on these investment funds and social capital for direct investment. However, due to changes in the rules of our entire capital market, concerns have increased for these social capitals when investing in industries," Li Dongsheng told reporters from Caixin, "They originally invested in these projects with the expectation of exiting after 5-7 years. Now that the projects have been invested in and have gone public, they cannot exit according to the new rules, making it difficult to make new investments. These issues need to be addressed by increasing financing methods and channels in the domestic capital market to support the development of China's technology manufacturing industry."

Li Dongsheng further stated that the aforementioned issues will have a significant impact on the development of China's technology manufacturing industry in the coming years. However, to comprehensively solve this problem, it requires top-level institutional design and the improvement of the entire capital market's system and processes. "I hope to raise some issues from the industry's perspective, so that relevant departments have an additional consideration when addressing them."

04

BOE's Chen Yanshun: Unlocking the Innovative Growth Space of the Real Economy with "Screen-based Internet of Things"

Chen Yanshun, chairman of BOE (Jingdong Fang), spoke at the Two Sessions with the theme "Unlocking the Innovative Growth Space of the Real Economy with 'Screen-based Internet of Things'":

Currently, the deep integration of the real economy and the digital economy is sparking a new round of innovation revolution globally. AI, the Internet of Things, cloud technology, and others are rapidly integrating into specific application scenarios, providing innovative growth space for the high-quality development of the real economy. Enterprises should strengthen the leadership of technological innovation and enhance the efficiency of transforming scientific and technological achievements into new productive forces.In 2024, marking the beginning of the next thirty years for JD.com, we stand at the starting point of a new journey. We will adhere to the "Screen of Things Internet" overall strategy to promote development, follow the value principle of "Sustainable Technology Innovation," and promote the integration of display technology with Internet of Things technology and digital technology. We will increase the intensity of innovative research and development, accelerate the speed of technology transformation, and consolidate the foundation for enterprise development. We will also join hands with global partners to open up innovation and achieve win-win cooperation, and work together to promote high-quality development of the industry.

Xiaomi's Lei Jun: Suggests Incorporating AI into Nine-Year Compulsory Education

As the 2024 National Two Sessions are about to commence, National People's Congress (NPC) representative and Chairman & CEO of Xiaomi, Lei Jun, brings forth four suggestions concerning green and low-carbon, artificial intelligence, intelligent driving, and intelligent manufacturing.

Specifically, this year Lei Jun focuses on the widely-discussed artificial intelligence industry and continues to offer advice on the development of the automotive industry and the intelligent manufacturing industry.

In the proposal "On Strengthening the Cultivation of AI Talents to Meet the Needs of Technological Transformation," Lei Jun makes the above statement.

In 2023, general artificial intelligence technologies represented by large models and generative artificial intelligence have attracted worldwide attention, sparking a new wave of AI. Lei Jun believes that, from a long-term trend, the demand for personnel who master the basic skills of artificial intelligence in various industries is growing rapidly. Considering the actual technical level of domestic generative artificial intelligence, there is a significant shortage in the reserve of top artificial intelligence talents, and the shortage of AI composite talents is even more pronounced. Therefore, strengthening the cultivation of talents in the field of artificial intelligence will become a key factor for the continuous upgrading of China's industry.

Furthermore, he suggests vigorously promoting the construction of AI-related majors in universities. According to data released by the Ministry of Education, currently, 498 universities in China offer an undergraduate major in "Artificial Intelligence," and 209 universities have successfully filed or applied for an undergraduate major in "Intelligent Science and Technology." This is still a relatively low proportion among the more than 3,000 universities nationwide.

Lei Jun suggests increasing investment in the construction of AI disciplines in universities, expanding teaching capacity by strengthening cooperation and exchange with world-class research institutions, introducing excellent teaching staff from abroad, and attracting senior corporate talents and industry experts to teach in universities. At the same time, he proposes expanding AI general education courses to more majors, such as traditional science and engineering majors, medicine, finance, humanities, history, arts, and other fields, to cultivate more interdisciplinary talents.

Thirdly, he suggests encouraging large technology companies and social education and training institutions to carry out training for AI application-oriented talents to adapt to the characteristics of rapid technological iteration in the AI field, high demand for talents, and widespread application.In the proposal "Suggestions on Further Regulating the Safe Application of Intelligent Driving Products," Lei Jun stated that there are still significant differences in the industry's intelligent driving products regarding functional definition, safety performance, human-machine interaction, operating conditions, and data application. There are potential safety risks in driving and data security, and it is necessary to expedite the implementation of relevant regulations, standards, and product supervision management methods to regulate the safe application of intelligent driving products.

In response, Lei Jun suggests the following: establish a safety supervision and management mechanism for assisted driving products as soon as possible, accelerate the implementation of safety technical requirements and testing verification standards for assisted driving, refine the human-machine interaction requirements for drivers in terms of environmental and risk alerts, standardize the correct use of assisted driving functions, and create a safer assisted driving experience.

It is essential to further refine the compliance measures and implementation details of product standards for the collection, storage, and use of intelligent driving data, providing clearer guidelines for the governance and efficient circulation of intelligent driving data, and guiding enterprises to use intelligent driving data reasonably. At the same time, establish a unified intelligent driving safety monitoring data platform, and continuously improve the regulatory system through the empowerment of big data.

In the proposal "Suggestions on Increasing Support for Intelligent Manufacturing and Accelerating the Integration of Advanced Technology Development," Lei Jun suggests that efforts should continue to strengthen the construction of infrastructure such as 5G, data centers, and computing power. The competent authorities should also introduce special projects as soon as possible, focusing on the deployment and application of intelligent manufacturing system software, AI large models, and general-purpose bionic robots as key industrial breakthrough directions, and support the creation of application scenarios that deeply integrate artificial intelligence with manufacturing, represented by large models.

He suggests encouraging enterprises in the field of intelligent manufacturing, especially leading enterprises, to take the lead in creating practical and exemplary models of intelligent manufacturing, building exemplary factories and production lines, and exploring future manufacturing models and enterprise forms. It is also recommended to continue encouraging in-depth integration of industry, academia, research, and application, guiding research institutions and universities to work with enterprises to jointly invest in the development of intelligent manufacturing standards and specifications.

Lei Jun suggests that the Ministry of Finance, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and other departments should accelerate the implementation of significant special projects in intelligent manufacturing, promote the research and development and industrialization of key technical equipment such as intelligent production equipment, intelligent testing equipment, and intelligent manufacturing software, and enhance the overall competitiveness of domestic manufacturing.

During the 2024 National People's Congress, Feng Xingya, General Manager of GAC Group and a national representative, brought five suggestions and one proposal on the formulation of intelligent driving regulations and standards, focusing on specific content such as new energy vehicle power battery standards, the integration of new energy vehicles with the power grid, the development of energy-saving vehicles, the development of automotive-grade chip industry chains, and automobile exports.

The imperfect power battery standard system hinders the large-scale development of new energy vehicles and the research and development of all-solid-state high-performance batteries. In response to issues such as the lack of unified charging and battery swapping standards and the absence of all-solid-state battery standards, Feng Xingya proposed suggestions such as unifying high-power charging standards and battery swapping standards, and exploring the establishment of an all-solid-state battery standard system.As the new energy vehicle (NEV) ecosystem strides forward, the chip industry in the field of key technologies still faces the "neck choke" dilemma. The ability for industries to be autonomous and controllable has become a key factor affecting the healthy development of the automotive industry. Despite many breakthroughs, the domestic chip industry still has many challenges to overcome. In response to the "neck choke" predicament of the automotive industry, Feng Xingya, for the first time last year as a national legislator, proposed to significantly increase the application rate of domestic chips, accelerate the guidance of industry transformation from a policy level, and speed up the improvement of supporting measures for automotive chips. This year at the Two Sessions, in light of the shortcomings in domestic automotive chip design technology, the overall lag in core manufacturing, insufficient chip application coverage, and an immature ecosystem, he proposed suggestions to overcome design weaknesses, enhance manufacturing capabilities, strengthen vehicle-end applications, and improve application support, reflecting a high level of attention to the domestic application of chips.

Geely's Li Shufu: The automotive industry should play the role of "chain leader" and take the lead in achieving "dual carbon" goals.

At this year's Two Sessions, Li Shufu, a member of the National Committee of the Chinese People's Political Consultative Conference (CPPCC) and Chairman of Geely Holding Group, brought forward two proposals: "On Establishing and Promoting National Standards for Barrier-Free Vehicle Use and Promoting Pilot Demonstration Project Construction" and "On Consolidating the Carbon Market Foundation and Promoting the Automotive Industry to Achieve 'Dual Carbon' Goals". He focused on barrier-free taxis and low-carbon development in the automotive industry.

In the proposal "On Consolidating the Carbon Market Foundation and Promoting the Automotive Industry to Achieve 'Dual Carbon' Goals", Li Shufu stated that as a vital pillar industry of the national economy, the automotive industry has a long industrial chain, high relevance, and strong driving force. It should fully play the role of "chain leader", guiding the upstream and downstream industrial chains to continuously and effectively reduce carbon emissions, and take the lead in achieving "dual carbon" goals. However, the progress of carbon-related policy systems and carbon market construction both domestically and internationally has not only hindered the domestic automotive industry from achieving the "30·60" goals ahead of schedule but has also restricted the process of Chinese automotive products going international.

In response, he made four suggestions. First, establish a unified product carbon footprint management system for the automotive industry and promote the international connection and mutual recognition of automotive product carbon footprints. Second, prioritize the connection mechanism between the "Passenger Car Enterprise Average Fuel Consumption and New Energy Vehicle Credit Management Method" (hereinafter referred to as the "Credit Method") and the carbon reduction system. Accelerate the introduction of supporting mechanisms related to the new energy transformation of the automotive industry to promote and drive the low-carbon transformation of the automotive industry. Third, expedite the introduction of carbon reduction support policies for key industries, promote the construction of a national carbon market, and use market mechanisms to encourage planned carbon reduction by enterprises. Lastly, strengthen the standardized management of digital carbon management tools.

Zhang Xinghai, Chairman of Seres Group: Encourage high-quality supply chains to go global and leverage the comprehensive competitiveness of China's automotive industry.

At the 2024 Two Sessions, Zhang Xinghai's proposals mainly focused on the systematic high-quality development and high-level safety of China's intelligent connected new energy vehicles, as well as the high-quality development of private enterprises. The content mainly revolved around the training of talents in the entire chain of electrification and intelligence, strengthening the integration of supply chains, and promoting the rapid "going global" of new energy vehicles.

In Zhang Xinghai's view, supply chain enterprises have become a relatively weak link in China's automotive industry chain, finding it difficult to establish long-term and stable strategic cooperation relationships with Chinese vehicle manufacturers. There is a risk of lagging behind the technological and product innovation pace of vehicle manufacturers, as well as the risks of "chain drop" and "chain break".In response to this, Zhang Xinghai suggests that policies should be introduced to guide, encourage, and support capable supply chain companies to integrate, merge, and reorganize smaller supply chain enterprises. This would further strengthen the more powerful companies, eventually forming the industry status of leading enterprises. In addition, an in-depth research on China's parts industry is necessary to provide potential leading enterprises with support for production factors, as well as financial and tax support for research and development.

At the same time, Zhang Xinghai also stated that it is necessary to actively respond to internal and external adverse factors to maintain the high-speed "going global" of new energy vehicles. Specifically, Zhang Xinghai's suggestions mainly include: First, relevant departments should promote the international mutual recognition of automotive carbon footprint accounting standards, methods, and data, to clear the carbon emission-related obstacles for Chinese new energy vehicles exporting to Europe, and at the same time, draw on the advanced carbon footprint accounting experience of the EU to guide domestic automotive carbon footprint accounting work. Second, encourage high-quality supply chain companies to "go global," and work together with high-quality car companies to develop overseas. Third, establish a national-level terminal consumer credit finance platform to provide credit funds and loan services support for independent car companies "going global."

Xiaopeng Motors Chairman He Xiaopeng: Exploring regulations for unmanned driving in defined scenarios

National People's Congress representative and Chairman of Xiaopeng Motors, He Xiaopeng, will submit a proposal on "Promoting the application of flying cars to help develop new quality productive forces in the low-altitude economy."

He Xiaopeng stated that flying cars have entered a period of explosive development. Flying cars integrate the two major industrial systems of automobiles and aviation, and their product certification, operation management, and operational safety are a completely new subject. Currently, the development process of the flying car industry is similar to that of new energy vehicles a decade ago, and there is an urgent need for relevant national departments to encourage innovation from a regulatory perspective, to be bold and forward-looking in policy, and to strongly support policies to accelerate the application and implementation of flying cars.

He suggests: Accelerate the top-level design and strategic planning of the flying car industry, and make forward-looking top-level plans in product management, product certification, and standard system design, clarify the top-level planning for flying car certification, increase the investment in certification resources, and form a phased product certification path; around the large-scale application of flying cars, build and improve the relevant operational systems, and support the large-scale application of products from multiple aspects such as pilot qualifications, airspace, and operational management; draw on the experience of the development of new energy vehicle industry policies, formulate policy plans for the development of the flying car industry, and introduce supporting implementation plans to promote the rapid development of the flying car industry.

China Mobile Chairman Yang Jie: Suggests promoting "AI+" action at the national level

In the proposal "On comprehensively promoting the 'AI+' action and accelerating the formation of new quality productive forces," Yang Jie, a member of the Standing Committee of the National Committee of the Chinese People's Political Consultative Conference and Chairman of China Mobile, stated that AI large models have made substantial breakthroughs and are accelerating into a new stage of large-scale application. This promotes artificial intelligence from being an auxiliary means to help thousands of industries improve quality and efficiency to becoming an indispensable infrastructure and core capability to support the transformation and upgrading of the economy and society, and to accelerate the transition from "AI+" to "AI+".To this end, he suggests promoting the "AI+" initiative at the national level to fully leverage the tremendous potential of artificial intelligence in driving scientific and technological leapfrog development, industrial optimization and upgrading, and the overall leap in productivity.

Specific recommendations include: First, to coordinate the development of computational intelligence, perceptual intelligence, cognitive intelligence, and motor intelligence, and to solidify the foundation for "AI+" development. It is necessary to strengthen the organic integration and systematic innovation of the "four types of intelligence," accelerate breakthroughs in forward-looking basic research and leading original achievements, and promote AI to have stronger cognitive, judgment, and creative abilities, injecting strong momentum into the formation of new quality productivity.

Second, to accelerate the spread of artificial intelligence to benefit every household and empower various industries, creating an "AI+" industrial highland. The direction should be to promote AI's comprehensive and in-depth integration into key areas and core links of the real economy, focusing on the people's needs for a better life in education, healthcare, elderly care, and entertainment, and accelerating the layout of strategic emerging industries and new industrial tracks such as super-large intelligent computing centers, humanoid robots, unmanned driving, and future biology. Cultivate a batch of innovative applications with demand, benefits, and prospects, such as multimodal human-computer interaction, intelligent assistants, industrial understanding computing, and code generation, so that artificial intelligence can not only "write poetry" but also "get things done," driving in-depth changes in productivity with high-quality industrial development.

Third, to explore the construction of innovation consortiums with enterprises as the main body and deep integration of industry, academia, research, and application, and to cultivate the fertile soil for "AI+" innovation. It is essential to give full play to the leading role of enterprises in scientific and technological innovation, create innovation consortiums and new R&D institutions widely participated in by state-owned enterprises, private enterprises, universities, and research institutes, integrate advantageous resources in production, education, and research, coordinate key links in innovation from upstream to downstream, improve the scientific and technological innovation evaluation system and incentive mechanisms, create a good atmosphere that encourages innovation, dares to break through, and is tolerant of trial and error, widely attract global AI leading talents and well-known scholars, cultivate a batch of exemplary applications oriented towards key industries of the national economy, and promote the deep integration of innovation chains, industrial chains, capital chains, and talent chains, accelerating AI technology breakthroughs and application popularization.

Fourth, to deepen the construction of a controllable and trustworthy artificial intelligence security protection system, and to build a "AI+" security barrier. AI should be used at a high level to ensure the high-quality development of AI, comprehensively review the security standards and technical strategies of the technical infrastructure, data, models, and applications, systematically forge AI security capabilities, layout new technologies such as intrinsic security, privacy computing, and blockchain, enhance the governance effectiveness in content risk management, data privacy protection, and scientific and technological ethics standards, and form an integrated and trustworthy "AI+" security system throughout the process.

Zhou Hongyi, Chairman of 360 Group: Support the development of large models towards verticalization and industrialization.

"The competition between China and the United States in the field of artificial intelligence is, on the one hand, a confrontational battle against the general large models of Open AI; on the other hand, it is a battle of differentiated and distinctive large model applications. At present, it still takes time for China to catch up with the United States in the core technology of general large models, but in the application of large models, 2024 is the first year of large model application scenarios, and China can completely take a path of large model development with Chinese characteristics."

Zhou Hongyi, a member of the National Committee of the Chinese People's Political Consultative Conference, founder, chairman, and CEO of 360 Group, believes that in many vertical fields, there is no need for large models of a hundred billion scale; large models of ten billion are sufficient to empower hundreds of industries. An important direction for the development of large models in China should be to leverage the advantages of industries and scenarios, combine large models with business processes and product functions, seek multi-scenario applications, verticalization, and industrialization, and help accelerate the formation of new quality productivity.

To this end, Zhou Hongyi proposes three suggestions: 1. Scenarios are very important, and large models have great potential in vertical fields. It is recommended that the government and state-owned enterprises take the lead in providing more application scenarios, focus on "small incision, large depth," and promote the verticalization and industrialization of large models; 2. Knowledge is very important, and vertical large models based on "dark knowledge" can better solve enterprise problems. It is recommended to encourage enterprises to manage knowledge well before customizing AI, and upgrade the enterprise big data platform to an enterprise knowledge platform; 3. Business integration is very important, and it is recommended to encourage and guide enterprises to deeply integrate large models with digital business systems, combine them with business processes, and give full play to the value of large models.Zhou Hongyi's second proposal mainly focuses on the security issues of general large models and puts forward three suggestions: 1. It is suggested that the state pay more attention to the security issues of general large models, provide special support policies for enterprises with both "security and AI" capabilities, and better play their important role in solving the security issues of general large models; 2. It is suggested that the state study and formulate a standard system to ensure the security of general large models, promote the security evaluation and access to security services of general large models, and reduce the security risks of general large models; 3. Encourage in-depth cooperation between the government, central state-owned enterprises, and enterprises with both "security and AI" capabilities in the field of large model security.

In the third proposal, Zhou Hongyi focuses on network security, mentioning that it is urgent to quickly make up for the digital security capability gap of the vast number of ordinary units. To this end, he puts forward three suggestions: First, coordinate the construction of digital security public service infrastructure, and concentrate on digital security capabilities; Second, change the mindset of focusing on construction and neglecting effects, encourage various units to purchase digital security cloud services, as an upgrade path for traditional network security construction; Third, encourage network security companies to actively transform, and contribute to the improvement of the country's overall digital security level in the form of security as a service, especially encourage leading enterprises with core technologies that are sanctioned by the United States to play a greater role.

Deputy Director of the Quantum Information Key Laboratory of the Chinese Academy of Sciences and Professor at the University of Science and Technology of China, Guo Guoping: Accelerate the planning and layout of the future quantum computing industry.

Guo Guoping, a member of the National People's Congress, Deputy Director of the Quantum Information Key Laboratory of the Chinese Academy of Sciences, and Professor at the University of Science and Technology of China, said that the proposal of "new quality productivity" provides a guide for China to seize the historical opportunities of the new round of technological revolution, lead the development of strategic emerging industries and future industries, and is a breakthrough and support point for implementing the innovation-driven development strategy, seizing the commanding heights of future development, and building a new advantage in the competition among major countries, which is an inevitable choice for promoting high-quality economic development.

In Guo Guoping's view, at present, China's economic development momentum is at a critical period of transformation from resource element input to innovation-driven, and it is necessary to accelerate technological innovation to provide a solid support for promoting high-quality economic and social development. New quality productivity is the productivity where technological innovation plays a leading role, and it is the productivity that meets the requirements of high-quality development. Its main carrier is the industry, and the core engine is innovation.

"In the quantum computing industry, new quality productivity is manifested in the ability to better utilize quantum computing technology to achieve breakthroughs in traditional computing and various industry applications, thereby improving production efficiency, creating value, and promoting economic development." Guo Guoping suggested accelerating the planning and layout of China's future quantum computing industry, introducing policies to support the quantum industry, and fully supporting the development of the quantum industry chain.

"Quantum technology, represented by quantum computing technology, is expected to become an important core technology for China to open up new fields and win new races in the global science and technology industry during the country's '14th Five-Year Plan' period and even in the longer term, and will give birth to a batch of new quality productivity." Guo Guoping said.