Since the 18th National Congress of the Communist Party of China, the Party Central Committee, with Comrade Xi Jinping at its, has placed great importance on the development of new generation of artificial intelligence. General Secretary Xi Jinping pointed out that "accelerating the development of new generation of artificial intelligence is important strategic measure for us to take the initiative in the global science and technology competition". The Fourth Plenary Session of the 20th Central Committee of the Communist Party of adopted the "Suggestions of the Central Committee of the Communist Party of China on the Formulation of the 15th Five-Year Plan for National Economic and Social Development, which pointed out that the "Artificial Intelligence  " action should be fully implemented, leading the transformation of scientific research paradigms with artificial intelligence, strengthening the integration of artificial with industrial development, cultural construction, people's livelihood security, and social governance, seizing the commanding heights of artificial intelligence industry applications, and empowering various industries from all aspects. present, pre-trained large models represented by DeepSeek continue to make breakthroughs, promoting the transformation of artificial intelligence from perception to cognition, from analytical and judgmental to, and from specialized to general, and new generation of artificial intelligence has become a new focus of international competition and a new engine of economic development. We must accurately grasp the technical and development trends of new generation of artificial intelligence, explore its high-quality development path, and strive for the initiative in the global scientific and technological revolution and industrial transformation

1. Accurately understand the technical characteristics of new generation artificial intelligence
New generation of artificial intelligence has typical universal characteristics. Different from the previous universal technologies such as steam engine, electricity, computer and Internet, the core characteristics of new generation of artificial intelligence lies in its ability to simulate human intelligence a higher level, showing anthropomorphic attributes. First, autonomous perception. Relying on a variety of devices, it autonomously senses visual, auditory, tactile and multi-modal information, thus obtaining and understanding the external environment, showing human-like perception ability. Second, autonomous learning. Relying on the pre-training of massive by deep learning models, combined with user feedback optimization, it builds a knowledge base, thereby enhancing learning ability. Third, autonomous decision-making. Using logical reasoning, probabilistic reasoning and methods, it constructs tools such as knowledge graphs and rule libraries, and makes corresponding decisions after in-depth analysis of complex problems. Fourth, automatic execution. It can automatically receive and pre-set task instructions, relying on predefined processes and rule libraries, and efficiently complete various complex tasks.
New generation of artificial intelligence also has significant technology-economic characteristics. First, permeability. New generation of artificial intelligence can penetrate into the field of human physical and mental labor, and even into the field that has achieved automation. Second, substitability. New generation of artificial intelligence can create virtual labor, thus breaking through the fundamental contradiction between the "ceiling of growth" of labor resources and the "infinite growth" human demand. Third, synergy. New generation of artificial intelligence can promote the synergistic development of various economic elements, effectively break the inherent barriers, and release the sygistic multiplier effect of "1 1>2". Fourth, creativity. New generation of artificial intelligence relies on deep learning, reinforcement learning and other technologies to extract effective information create new knowledge and new elements, which powerfully drives high-quality economic development.
2. A deep understanding of the development trends of new generation of AI
The system of new generation of artificial intelligence technology covers basic support layer, middle technology layer and downstream application layer. The basic layer relies on high-performance chips, sensor clusters and deep learning frameworks and other software platforms to provide underlying computing for the system. The technology layer, with the simulation of human cognition as the core, transmits computing power into intelligent technology capability through machine learning models. The application layer promotes extensive implementation of artificial intelligence in various industries. The analysis of its development trend can be carried out from four dimensions: basic innovation, technology research and development, application scenarios and security.
Basic innovation focuses on the improvement of large model capabilities and computing power system. The new generation of artificial intelligence large model continues to improve in terms of parameters and multi- data processing capability, and its universality reaches a new height. For example, DeepSeek optimizes the basic software through the early fusion architecture, and improves the efficiency of multimodal data integration. The computing power empowerment system that drives the intelligent technology transformation shows a trend of intelligence, intensification, networking, greening and quantizing. With the dynamic scheduling (intellectualization), cluster efficiency optimization (intensification), cloud-edge-end synergy (networking), energy efficiency improvement (greening) and-classical hybrid architecture (quantization), the computing power resources effectively alleviate the computing power bottleneck of the basic support layer and improve the efficiency of model intelligent transformation. In addition, scale distributed interactive algorithm and open source collaborative innovation will become an important way to drive the formation of general artificial intelligence ecology.
Technical research and development focuses on breakthroughs in data technology and human-machine interaction. First, the large-scale of data infrastructure technologies such as synthetic data technology, vector databases, and integrated data lake and warehouse architectures that support the training of machine learning models will effectively alleviate the scarcity of highquality data. Synthetic data breaks through the collection bottleneck by generating simulated samples, vector databases optimize the storage and retrieval of feature data, and the integrated data lake and warehouse architecture data management processes to improve training efficiency. Second, the revolution in human-machine interaction that extends the boundaries of intelligent technology capabilities will continue to make breakthroughs, and brain-computer are expected to become the next generation of human-machine interaction methods. Brain-computer interfaces build a "thought-machine" channel by parsing neural signals, and embodied intelligence technology end large models with the ability to interact with the physical world.
Application scenarios are accelerating and deeply penetrating. The new generation of general-purpose artificial intelligence large models will from content creation and other general scenarios to vertical fields and personalized scenarios, and professional artificial intelligence large models and personal intelligent assistants are also accelerating their implementation. In 2024 the global artificial intelligence market size exceeded $279.2 billion, and it is expected to reach a compound annual growth rate of 35.9% by 230. The new generation of artificial intelligence will penetrate and apply to various industries and fields such as scientific research, education, medical, finance, manufacturing, entertainment, urban management,, energy, law, sports, etc., with unprecedented speed and depth.
It is worth noting that the rapid development of new generation artificial intelligence may lead to new ethical and risks such as ecological damage, and safety supervision needs to find a balance between technological innovation and social stability. Artificial intelligence governance has also become the core issue of international society. present, many countries and regions have passed relevant laws on artificial intelligence, and international organizations such as the United Nations are also accelerating the construction of a global governance framework, and the regulatory will significantly increase.
Through a comprehensive analysis of the trend of underlying innovation, technological research and development, application scenarios, and safety supervision, the development pulse of new generation artificial is clearly presented. This not only reveals its technological logic but also provides important guidance for dealing with future challenges.