Core Viewpoint - SenseTime has launched Seko 2.0, an integrated creative and multi-episode generation AI model, leveraging its self-developed Seko series models for image and video generation [1] Group 1: Product Development - Seko 2.0 is built on the SenseTime's self-developed Seko series models, including SekoIDX and SekoTalk, which form the technological foundation for multi-modal generation [1] - The Seko series models are compatible with domestic AI chips from Cambricon [1] Group 2: Strategic Partnerships - SenseTime has established a strategic partnership with Cambricon in October, focusing on the joint optimization of software and hardware [1] - The collaboration aims to enhance core model capabilities, improve computing power utilization, and increase cost efficiency [1]

Group 1 - SenseTime officially launched Seko 2.0, the industry's first multi-episode generative agent, showcasing significant advantages in consistency for multi-episode video generation [1] - The Seko series models, including SekoIDX and SekoTalk, are built on SenseTime's proprietary technology, which has been adapted to support domestic AI chips from Cambricon, marking a key leap from language to multi-modal capabilities [1] - The LightX2V framework is designed with a highly compatible domestic adaptation plugin model, currently supporting multiple domestic chips, including Cambricon, enhancing the performance of the Seko series models [1] Group 2 - In October, SenseTime and Cambricon established a strategic partnership to optimize software and hardware jointly, facilitating a collaborative innovation between domestic large models and computing power [2] - The partnership aims to continuously optimize core model capabilities, enhance computing efficiency, and reduce resource consumption, allowing more enterprises to access high-performance multi-modal capabilities at lower costs [2] - The collaboration will also focus on improving large-scale parallel processing capabilities and developing a more flexible resource management mechanism to ensure stable model operation across diverse environments [2] Group 3 - The deep collaboration between SenseTime and Cambricon is expected to significantly enhance model efficiency, resource utilization, and cross-hardware compatibility, lowering the barriers to using multi-modal AI [3] - The partnership aims to foster a thriving domestic AI application ecosystem, creating more efficient and user-friendly product systems while providing developers with open and friendly tools [3]