Currently, "Artificial Intelligence+" serves thousands of industries. As the forefront of artificial intelligence technology applications, big models are providing strong support for industrial development. In the field of video big model application, domestic big models are deeply integrated into the industry. What can a large video model do? What are the future development trends? Kwai AI experts were interviewed. Simply put, artificial intelligence big models are large-scale artificial neural networks trained through deep learning algorithms using massive amounts of data and computing power. They can be seen as the 'energy block' or 'infrastructure' for the application of artificial intelligence technology. ”Said Gai Kun, senior vice president of Kwai, head of Keling AI Business Department and head of community science line. Based on their emphasis on different application areas, large models can be classified into different types. For example, DeepSeek is a big model of language, Rock is a big model of basic science, and Kwai Keling is a typical big model of video. Various domestically produced models have demonstrated their strengths in fields such as government affairs, healthcare, and education. As a video model, Ke Ling serves the creation of video content in the AI era and is committed to promoting the content industry towards intelligence, high efficiency, and low barriers to entry. ”Gai Kun introduced that creators who use large video models can generate the content they want to shoot through algorithm driven methods, without relying solely on camera lenses. The key to using a large video model well lies in its generation effect and controllability. For example, Gai Kun said that based on the self-developed efficient model architecture and flow matching algorithm, Kwai can effectively improve the ability to simulate physical laws and respond to users' complex input, so that the role movement is more consistent with real logic, and the screen performance is more consistent with time and structural integrity. At present, AI video generation technology has been integrated and applied in advertising, e-commerce, short dramas, education and other fields, helping to improve production efficiency and reduce costs. Gai Kun said that, taking a short play with AI generated content (AIGC) as an example, the production time of the whole drama is only about 1/3 of the traditional production time after Kwai can be flexibly assisted. The true implementation of video generation technology requires the premise of verified real payment by the market. In the second quarter of 2025, Ke Ling's revenue exceeded 250 million yuan, of which nearly 70% was contributed by professional creators. Freepik, an overseas creative platform, has access to more than 10 video generation models around the world. The number of videos generated by global users who choose to use Kwai Kerin exceeds the total number of other models, reflecting the advantages of Chinese technical teams in scene understanding, user experience, etc. Not long ago, the Action Plan for Global Governance of Artificial Intelligence was released, emphasizing the promotion of the beneficial development and universal application of artificial intelligence. Gaikun stated that currently, artificial intelligence video generation still faces technical challenges such as consistency and rationality, and we must also be vigilant about issues such as copyright ownership and the spread of false content. Only by synchronously enhancing model and governance capabilities, continuously improving governance mechanisms, can technology serve industrial development more safely and reliably. (New Society)