Core Insights - The collaboration between SenseTime and Cambricon marks a significant milestone in the development of "domestic chips + domestic models," with the successful adaptation of the Seko series model on the same day it was released [1][2] - This partnership aims to enhance the domestic AI application ecosystem, making advanced multimodal AI capabilities more accessible and cost-effective for developers and enterprises [1][3] Group 1 - Cambricon's Day 0 adaptation of SenseTime's "Riri Xin" model demonstrates the rapid response capability of domestic chips in supporting local AI manufacturers, indicating a strong collaboration within the domestic AI ecosystem [2] - The Seko series models, including SekoIDX and SekoTalk, form the core technology base for the Seko2.0 intelligent agent, showcasing the extension of the domestic AI ecosystem into more complex multimodal generation fields [2] Group 2 - The partnership focuses on creating a more efficient and user-friendly tiered product system, leveraging the LightX2V framework designed by SenseTime for rapid adaptation to various domestic hardware [3] - Innovations such as low-bit quantization, compressed communication, and sparse attention mechanisms have significantly improved inference performance by over three times, enhancing the overall efficiency and resource utilization of the models [3] - Future collaboration will involve deeper optimization efforts to lower the barriers for using multimodal AI and improve the overall user experience [3]