Seize the opportunity of "AI+" to drive digital transformation into the fast lane

Be an active participant in the era of artificial intelligence; do a good job in the research and development of large models for pedestals, accelerate the construction of a general artificial intelligence ecosystem; actively apply artificial intelligence, promote the intelligent, green, and innovative development of the coal industry; support small and medium-sized enterprises in applying artificial intelligence, and promote the development of the industrial metaverse empowering manufacturing... Around the promotion of "artificial intelligence +", accelerate the digital transformation, and actively provide suggestions and proposals as a representative member.

National Committee of the Chinese People's Political Consultative Conference member and Chairman of New Hope Group, Liu Yonghao:

Being an active participant in the era of artificial intelligence

◎ Journalist Li Yanzheng

"The era of artificial intelligence is coming. Enterprises must keep pace with the times, be active participants, and not be bystanders." Liu Yonghao, a member of the National Committee of the Chinese People's Political Consultative Conference and Chairman of the New Hope Group, recently stated in an interview with the Shanghai Securities News that at this year's National Two Sessions, he is focusing on topics such as the application of artificial intelligence.

Enhance financial support for small and micro enterprises

Liu Yonghao said that some small and micro enterprises in rural areas have problems such as small scale, limited funds, and insufficient historical credit records and financial data. However, these enterprises do need help. It is suggested that relevant banks provide support through the empowerment of big data and artificial intelligence.

"Previously, with the support of the Big Data Bureau of Sichuan Province and the Development and Reform Commission of Sichuan Province, we conducted some research and imported relevant data such as invoices of rural small and micro enterprises into the system. We found that a considerable number of small and micro enterprises not only have financing needs but also have sound and secure finances," Liu Yonghao admitted. In the past, small and micro enterprises had to go to the bank to fill out loan application forms, and the bank would require the enterprises to provide proof of their ability to repay the loan, which most small and micro enterprises could not provide. Now, through big data, it is possible to assess the repayment capability of enterprises and actively provide loans to rural small and micro enterprises without the need for the enterprises to apply to the bank."

This kind of attempt is expected to be promoted to more places. Relevant departments are cooperating with local governments to study how to use big data to solve the problems of difficult and expensive loans for small and micro enterprises, and pilot projects in some areas. "I believe that improving the sense of financial support for small and micro enterprises will play a positive role in economic development," said Liu Yonghao.

Developing new productive forces in the agricultural field

Liu Yonghao stated that private enterprises do face pressure in development. We must have confidence, not lie down passively, actively respond, and promote technological transformation. In the future, new opportunities will also emerge in traditional industries, and some companies will achieve new development.

New Hope Group has been on the road to transformation. After the launch of DeepSeek, Liu Yonghao requested that New Hope Financial Technology Company use the relevant software within half a month. He also installed relevant artificial intelligence applications on his computer and phone, and even tested the different effects of the software at different stages to choose the best application.

Liu Yonghao stated that the key to developing new productive forces in the agricultural field lies in improving efficiency through technological means. For example, replacing repetitive labor with robots and optimizing production processes with data. In terms of new technology applications, New Hope has developed vegetable cutting robots and other equipment that have been put into actual production. Needle-free injection technology replaces traditional needle methods, not only reducing animal stress responses, but also significantly improving medication accuracy. The popularization of innovative equipment has liberated grassroots employees from repetitive labor, allowing them to focus on higher value work.

Regarding the industry's "pig cycle" issue, Liu Yonghao introduced that the group is using years of accumulated industry experience and market data, combined with artificial intelligence technology to build a forecasting model. "By analyzing feed sales, farming scale, and price trends, the model can provide risk warnings for enterprises and farmers, helping everyone adjust strategies in advance." Liu Yonghao stated that this data-driven management model is gradually changing the passive situation of traditional agriculture relying on luck.

"We must keep up with the situation, be down-to-earth, do what we should do well, and actively develop new productive forces. This is the only way." Liu Yonghao said.

National People's Congress deputy, Chairman of iFlytek Liu Qingfeng:

Resolute

Developing large-scale model base well

◎ Reporter Liu Yifeng, Sun Xiaocheng

With pre-training and reinforcement learning, the general base large model still has a very high ceiling. We will firmly invest in the base large model and benchmark it against the highest global standards on domestically produced independent and controllable platforms. At the National Two Sessions, Liu Qingfeng, a National People's Congress delegate and Chairman of iFLYTEK, said in an interview with Shanghai Securities News. This year's National Two Sessions, Liu Qingfeng focused on topics such as the construction of the artificial intelligence ecosystem and the innovative development of domestic computing power base.

The development of artificial intelligence requires a 'keeping up with each other' pace.

By 2025, the hottest topic in the artificial intelligence industry is undoubtedly the emergence of DeepSeek.

"We applaud DeepSeek! The greatest significance of DeepSeek is to boost the confidence of people from all walks of life in China's independent innovation. Moreover, DeepSeek is very focused and pure, focusing on the innovation of underlying large models, without getting involved in industry implementation or considering short-term monetization, and is full of geek spirit." When talking about DeepSeek, Liu Qingfeng gave high affirmation.

Liu Qingfeng revealed: "To some extent, we all admire such geeks. After all, we have to find ways to achieve industry landing and achieve self-blood generation for development."

In Liu Qingfeng's view, different companies have different missions and visions. With the help of artificial intelligence, it can allow 200 million Chinese children to spend one less hour each day on ineffective and inefficient repetitive learning; it can enable residents in remote areas to enjoy medical services similar to those of top-tier hospitals... Liu Qingfeng believes that these practical applications have greater social significance and are also the mission of iFlytek.

Therefore, iFLYTEK focuses on both the underlying areas such as multi-turn dialogue, command following, semantic understanding, mathematics, and code, as well as the practical applications of artificial intelligence in fields such as education, healthcare, and automotive.

Liu Qingfeng believes that the continued development of artificial intelligence requires a 'keep-up' mentality. The industry also needs to innovate more in original technology and increase innovation in algorithms.

"We must have a group of people who dare to innovate at the source of future core technologies, with the courage and determination. Only in this way, whether it's artificial intelligence or the technology industry, will there be a greater future," Liu Qingfeng said.

Build a general artificial intelligence ecosystem

"In 2025, what I am most looking forward to is the promotion of the construction of a fully autonomous and controllable general artificial intelligence ecosystem." Liu Qingfeng said that developing general base large models on autonomous and controllable platforms to achieve the world's top level, especially benchmarking and surpassing in key areas related to national economy and people's livelihood, is crucial for China to take the initiative and win strategic advantages in the future global artificial intelligence industry competition.

Currently, the mainstream large models in China are keeping pace with leading countries in algorithm innovation, leading in some areas, and also accelerating in computing power. At the same time, the domestic software ecosystem for computing power is still relatively weak, with supporting tools such as operator libraries, toolchains, open-source training frameworks, and development platforms not yet perfect.

Liu Qingfeng stated that it is necessary to accelerate the research and innovation, application in scenarios, and open full-chain development of large models based on domestically-produced computing power, and to accelerate the construction of domestically controllable large models and industrial ecology on the domestically-produced computing power platform. To achieve this goal, efforts can be made in three aspects: encouraging the development and application of large models based on domestically controllable domestic computing power platforms; building a mechanism for fully sharing data resources; and providing special support for the construction of ecological systems based on domestically-produced computing power platforms.

On the ecological construction level, Liu Qingfeng suggested encouraging the development of large model developers' ecology and open-source community building based on the self-controllable computing power base, specifically supporting the accelerated formation of a domestic large model ecosystem and toolchain, and accelerating the formation of a self-controllable artificial intelligence industry ecology.

National People's Congress deputy, Chairman of Pingmei Shenma Group, Li Mao:

Artificial intelligence is reconstructing the underlying logic of the coal industry

◎Journalist Wang Wenyan

At this year's National Two Sessions, Li Mao, a deputy to the National People's Congress and chairman of Pingmei Shenma Group, focused on the intelligent, green, and innovative development of the coal industry.

"We have been using artificial intelligence to carry out various work for a long time." Li Mao said that the AI large model DeepSeek has become very popular and attracted wide attention. In fact, the coal industry has proactively integrated into the new round of technological revolution and industrial transformation, actively exploring the path of digital transformation. Taking Pingmei Shengma Group as an example, combining business segments, constructing and implementing artificial intelligence scene development, continuously deploying application of intelligent mining systems, large equipment fault diagnosis and online intelligent analysis, unmanned driving of coal mine transport vehicles, unmanned inspection by robots, advanced technology equipment such as AI video recognition in coal mines, launching an AI video analysis cloud platform system based on F5G, actively exploring the replacement of "hard, dirty, dangerous" positions, realizing real-time monitoring, remote inspection, and unmanned operation of key locations such as underground substations and pump rooms in coal mines. Among them, the independently developed intelligent coal selection system has been put into use in 11 mines of the group. While successfully replacing manual coal selection, the gangue selection rate has reached more than 90%, efficiency has increased by 60%, and the ash content of raw coal has been reduced by 6 to 10 percentage points.

"This year, we will also build two artificial intelligence cockpits, one for group production and sales synergy analysis and the other for production and operation, from the two directions of operation control and safety production, as well as detailed scenario models such as working conditions, coal mining machines, and coal mine water hazard monitoring and early warning, achieving 'one-click access' to group comprehensive data and 'one-screen overview' of operational situation," Li Mao said.

Li Mao believes that artificial intelligence is reconstructing the underlying logic of the coal industry, driving the reshaping of the industry chain, restructuring the safety system, and resetting the development paradigm. The coal industry should seize the opportunities related to "AI+", continuously introduce and apply new technologies and models, and build a "AI+" system with its own characteristics. At the same time, it is necessary to increase research and development investment, deepen cooperation with more well-known universities, leading enterprises, and research institutes, promote the integrated development of new generation digital technologies such as artificial intelligence, cloud computing, big data, and the coal industry.

Green development is the necessary path for the high-quality transformation of the coal industry. Li Mao stated that many industry enterprises have taken active actions in green development, such as comprehensive ecological governance of mines, development of new energy according to local conditions, and effective utilization of energy through the layout of various new energy storage systems. Pingmei Shenshua Group has built a 20MW distributed wind power project, a 6MW distributed photovoltaic project, and Tian'an Coal Industry's 24MW/96MWh vanadium flow battery energy storage station in Mapeng Mountain in Pingdingshan City. The green electricity generated by these photovoltaic and wind power is provided to internal enterprises through the Pingmei Shenshua grid, and surplus green electricity is stored in the vanadium flow battery energy storage station, avoiding the waste of wind and solar energy resources, improving the utilization rate of green electricity, and providing a solid foundation for the group to promote the replacement of traditional energy with green electricity.

"The urgent need for technological innovation to develop new productive forces." Li Mao said that the coal industry promotes industrial innovation through technological innovation, carries out cross-industry and cross-regional cooperation, and regards technological innovation as a "breakthrough code" throughout this process, creating an innovation matrix, focusing on talent allocation, and strengthening the transformation of results.

National People's Congress deputy,

Min Weidong, Dean of the Metaverse Research Institute of Nanchang University:

Promote the industrial metaverse

Empowering the development of the manufacturing industry

◎Journalist Wang Kaifeng

At this year's National Two Sessions, Min Weidong, a deputy to the National People's Congress and president of the Metaverse Research Institute of Nanchang University, continued to focus on topics such as empowering various industries with technological innovation represented by artificial intelligence and the future industrial development of industrial metaverse.

Supporting the application of artificial intelligence in small and medium-sized enterprises

Currently, technological innovations represented by artificial intelligence are leading profound changes in production methods, business models, and other aspects across various industries. Min Weidong stated that in terms of empowering industries, efforts should be made to promote the application of artificial intelligence in small and medium-sized enterprises, actively support the development and application of large models in vertical fields.

"The open source development model represented by DeepSeek greatly reduces the R&D and usage costs for enterprises, which is good news for the vast number of small and medium-sized enterprises," Min Weidong suggested that small and medium-sized enterprises should actively embrace change, actively try using AI large models and other technological applications, and enable AI to effectively empower industrial transformation and upgrading, and help the development of new quality productivity.

Min Weidong suggested that relevant departments should provide timely support and assistance to the difficulties that small and medium-sized enterprises may encounter in the process of applying artificial intelligence, and promote the landing of rapidly developing artificial intelligence technologies such as large models.

"The rapid development of artificial intelligence is both an opportunity and a challenge," said Min Weidong. On the one hand, it will inevitably drive the accelerated iteration of traditional industries, and some routine work may be replaced by automation and intelligence in the future; on the other hand, it will also incubate more new industrial opportunities and job opportunities, and resolve related contradictions through market optimization."

Drive the industrial metaverse to empower the manufacturing industry

"The industrial metaverse is a direction where intelligent manufacturing and metaverse integration develop together." Min Weidong introduced that the industrial metaverse is a new production and manufacturing model and industrial ecology that integrates key metaverse technologies with industrial and economic innovation, which is of great significance for promoting the digitization, networking, and intelligence of traditional industries.

It is reported that the industrial metaverse is not only a traditional digital twin, but also a comprehensive industrial factor chain, industrial chain, and value chain that forms the virtual and real mapping, interaction, and integration of people, virtual space, and physical space. People are the most creative role.

"Artificial intelligence is the most basic and important technology supporting the research of the Metaverse. Our team is committed to core algorithm research, including new adaptive deep learning, intelligent perception and natural interaction, new modeling and digital twins, as well as innovative applications of the Metaverse." Min Weidong introduced that their team is currently focusing on tackling key technologies such as advanced modeling and intelligent algorithms for immersive content, intelligent perception and efficient auto-generation of digital humans and scenes.

"We hope to see the intersection and integration of manufacturing industry with the metaverse, driving traditional industrial manufacturing towards 4.0 smart manufacturing," said Min Weidong.

National Committee member of the Chinese People's Political Consultative Conference and General Manager of Duoyunxuan Group, Zhu Qi:

The dictionary builds a solid knowledge 'foundation' for AI content output

◎Reporter Yang Xiangfei

During this year's two sessions, Zhu Qiguan, a member of the National Committee of the Chinese People's Political Consultative Conference and general manager of Shanghai Duoyunxuan Group Co., Ltd., focused on the cultural inheritance of the publishing industry, and suggested making the lexicographical editing industry more "youthful." "AI reconstructs the corpus through algorithms, and dictionaries are the most important and reliable source of knowledge for large language models, directly related to the quality of content output. Dictionaries lay a solid knowledge 'foundation' for AI content output," Zhu Qiguan told the reporter of Shanghai Securities News.

Focus on the cultural inheritance of the publishing industry

朱旗, who has been deeply involved in the publishing industry for nearly 30 years, adheres to the original intention of cultural inheritance and is committed to enabling outstanding traditional culture to resonate with the times. This year, he will focus on the cultural inheritance of the publishing industry, especially paying attention to large-scale dictionary compilation projects.

In the current rapid development of technology, the widespread application of AI has sparked many discussions. Now that AI is being used, why are we still concerned about compiling dictionaries? Faced with such questions, Zhu Qi believes that AI reconstructs corpora through algorithms, and dictionaries are the most important and reliable source of knowledge for large language models, directly related to the quality of content output.

"Nowadays, many articles have a clear 'AI flavor'! You can tell at a glance which product was used as a shortcut," Zhu Qi said. In stark contrast, the dictionary compilation team is still holding a three-day discussion on the definition of a term. Dictionary compilation is an important practice accumulated by human civilization, providing 'standard answers' for seekers of knowledge.

China has a history of compiling dictionaries for more than 2000 years, from the Eastern Han Dynasty's 'Shuowen Jiezi' to contemporary works such as 'Ci Hai,' 'Modern Chinese Dictionary,' and 'Chinese Encyclopedia.' Zhu Qi's research found that the compilation of dictionaries is currently facing difficulties, with a lack of successors. Taking the compilation of the seventh edition of 'Ci Hai' in 2015 as an example, out of nearly 150 chief editors, only 38 were below the age of 60.

Making the dictionary compilation industry more 'youthful'

After Zhuqi learned, many researchers, although they understand the importance of dictionary compilation, are seriously affecting the enthusiasm of young scholars participating because it cannot be counted as a personal academic achievement in the assessment and evaluation of titles in colleges and universities.

Despite facing difficulties, the compilation of dictionaries is still steadily progressing. For example, the second edition of the "Dunhuang Studies Comprehensive Dictionary" published earlier this year has undergone comprehensive revisions and systematic supplements to the version edited by Ji Xianlin, with the number of words increased from 2.4 million to over 4 million. This is an important manifestation of academic progress.

Zhu Qi believes that the construction of the author team is related to the development of the dictionary compilation industry. After in-depth research, Zhu Qi made relevant suggestions at this year's National Two Sessions. He hopes that relevant departments will establish a joint working group to conduct research and comprehensive evaluation of the dictionary compilation projects that various publishing houses are promoting or preparing; for key dictionary publishing projects, scientific methods will be formulated to quantify individual contributions in collective projects, and these contributions will be recognized in job title assessments and work evaluations, thereby attracting more young scholars to engage in the dictionary compilation industry.

(Source: Shanghai Securities News)

Source: East Money

Author: Shanghai Securities News