On January 5, the "China AIGC Industry Application Summit and Unbounded AI Ecological Partner Conference" was held in Hangzhou Future Science and Technology City. The conference was jointly guided by the Management Committee of Hangzhou Future Science and Technology City, Yuhang District Science and Technology Bureau and Yuhang District Enterprise (Talent) Comprehensive Service Center, hosted by Timestamp Technology, and provided special media support from AI New Intelligence. Depth focus on AIGC applications, the conference reached 1,000 participants, and invited many industry elites and experts from industry and research, investment institutions, universities and AIGC entrepreneurs to share the progress of AIGC applications in the past year and discuss future development trends. At this summit, Unbounded AI held the first ecological partner conference, setting a precedent in the industry. In the past year, Wujie has gained nearly 4 million users, 250 million+ paintings, 200+ large painting models, hundreds of government-enterprise cooperation units, and an average of one AI creation contest and nearly 50 college trips per week. At the summit, a number of AIGC achievements were released, including the joint launch of the silk industry's first practical graphic AI model "Wansli Flower Model" by Wansli Silk and Unbounded AI, and the launch of the "AI + Cultural Tourism" innovation-led sustainable development plan by Wusli AI and Digital Rhyme China and other institutions. Chang Cheng, founder of Unbounded AI, said at the summit that in the next three months, Unbounded will usher in the moment of its own "creature" (model) explosion, and models of major industries and national style, art illustrations, and private images will be launched one after another. Unbounded hopes to better export its model capabilities to ecosystem partners, and believes that many excellent applications based on Unbounded models will emerge. In the coming year, Unbounded AI will further upgrade its technology, strengthen support for natural language, improve the generalization performance of models, and launch a developer platform.