What were the abnormal parking situations on this highway last month? "- In front of the screen, Baidu employee Xing Zenghong was training the AI digital person" Xiaolu ". A few seconds later," Xiaolu "gave the answer based on simulation data:" The total number of abnormal parking incidents last month was 11805, of which 11659 have been handled. Xing Zenghong's profession is called Generative Artificial Intelligence System Application Worker. His job is to turn the intelligent brain of artificial intelligence into an expert in a certain field, allowing artificial intelligence to shine in industry applications. According to insiders, as one of the 19 new professions recently released by the Ministry of Human Resources and Social Security, the rise and growth of generative AI system practitioners is a microcosm of the innovation and vigorous development of China's AI industry. In 2018, Xing Zenghong graduated from the Electrical Engineering and Automation major and is now deeply involved in the field of intelligent transportation. Xing Zenghong's daily work mainly involves transforming AI code into perceptible and understandable artificial intelligence applications. One of them is to train AI agents to enhance the minimalist interaction and perception abilities of digital humans, ensuring the safety of public highway travel while improving the work efficiency of highway workers. Xing Zenghong gave an example to introduce that in the road network operation monitoring system he participated in writing, the staff can monitor abnormal parking, fires, smoke and other events on the road in real time through interaction with digital humans. The system classifies and categorizes different events into databases, and automatically matches corresponding contingency plans for disposal. Currently, the number of practitioners in the field of generative artificial intelligence, such as Xing Zenghong, is rapidly increasing. This year, the Ministry of Human Resources and Social Security has released a new batch of 19 new professions, including generative artificial intelligence system application personnel. Li Lili, Deputy Director of the Talent Research Department of the Talent Exchange Center of the Ministry of Industry and Information Technology, told a reporter from the Economic Reference Daily that from the perspective of talent types, generative artificial intelligence talents include both research talents engaged in the innovation of generative artificial intelligence theory and technology, as well as industrial talents who promote the landing and application of generative artificial intelligence technology, products, and services. The key to empowering economic development with generative artificial intelligence lies in its application, which requires a large number of talents to engage in the specific work of technology application landing. As the trendsetters of the new generation of information technology, relevant talents are ushering in broad development space Li Lili said. The emergence of related new professions demonstrates the rapid development of China's generative artificial intelligence industry. According to the "Research Report on the Development of China's Digital Economy (2024)" recently released by the China Academy of Information and Communications Technology, as of the end of 2023, there are a total of 254 large model manufacturers and universities with a parameter scale of over 1 billion in China, and nearly 80 large models have been released. Some domestically produced large models have been put into market application. It is worth noting that generative artificial intelligence has sparked a technological wave and also raised higher demands for corresponding high-end talents. According to the "2024 Big Model Talent Report" recently released by Maimai Gaopin Talent Think Tank, from January to July 2024, although the overall supply of big model talents exceeded demand, some technical talents were still in short supply. The recruitment quantity and talent shortage of big model algorithm and technical talents ranked among the top. The accelerated breakthrough application of digital technologies such as artificial intelligence not only affects the demand for labor quantity, but also puts forward new requirements for the quality of labor Li Lili believes that the current development of artificial intelligence talents mainly shows three trends: first, the prominent "leading goose effect" of top talents; second, the obvious trend of young talents innovating and breaking through in cutting-edge technology fields; third, the continuous increase in demand for artificial intelligence talents to empower industry transformation and upgrading, and the significant increase in demand for compound and application-oriented artificial intelligence talents. Faced with this trend, various parties have actively introduced policies to support the development of artificial intelligence talents. In April this year, the Ministry of Human Resources and Social Security and nine other departments issued the "Action Plan for Accelerating the Cultivation of Digital Talents to Support the Development of the Digital Economy (2024-2026)", proposing to focus on new professions in the digital field such as big data and artificial intelligence, formulate and promulgate national vocational standards, and build a scientific and standardized training system. Many regions are also increasing their efforts in cultivating artificial intelligence talents through various aspects such as specialized talent training, talent subsidies, and rewards. Li Lili believes that artificial intelligence is a typical interdisciplinary field, and in the future, continuous exploration can be carried out around the integration of industry and education, supporting a group of high-level universities and artificial intelligence enterprises to jointly build laboratories or research centers, supporting the latest development of industrial technology and the latest demand for talent cultivation of leading artificial intelligence enterprises, and opening courses, data, cases, tools, and practical training experimental platforms to universities. (New Society)