Summary of the Conference Call on SenseTime Technology Company Overview - **Company**: SenseTime Technology - **Industry**: Artificial Intelligence (AI) Key Points and Arguments Performance and Achievements - SenseTime's "Riri Xin" fusion model ranked first in both SuperCLUE and OpenCompass evaluations, achieving a total score of 18.3, tying with DeepCV3, indicating a significant breakthrough in native fusion modality training [2][4][5] - The company launched the Riri Xin 6.0 version, which constructs over 200 billion high-quality tokens for multi-modal long thinking chain data, achieving a length of 64K, significantly enhancing data analysis capabilities, particularly in vertical industries like finance [2][20] Government Support and Industry Growth - The Shanghai government is heavily supporting the AI industry, with the industry scale expected to exceed 450 billion yuan by the end of 2024, and over 60 generative AI models have been registered with the state [2][7] - SenseTime has developed the SenseCore AI computing platform to provide efficient computing power support for large model research and industrial applications in Shanghai [2][8] Technological Innovations - SenseTime's multi-modal models excel in processing unstructured data, improving efficiency and decision-making in scenarios like financial audits and e-commerce price comparisons [2][24] - The company emphasizes the importance of multi-modal models in achieving general artificial intelligence, as they can enhance learning efficiency and address complex problems [12][67] Future Directions and Applications - SenseTime aims to apply its native modality fusion widely across various scenarios to enhance interaction experiences [6][9] - The company is focused on deepening AI applications in key industries and fostering collaboration with academic institutions to build open platforms [9] Market Position and Competitive Edge - According to a report by Frost & Sullivan, SenseTime ranks first in China's generative AI technology stack market due to its continuous investment in technology innovation and high-performance domestic inference engines [3] Real-World Applications - The multi-modal model has been successfully applied in various fields, including automatic driving and smart healthcare, showcasing its ability to solve complex issues and enhance user experience [2][8][24] - In the e-commerce sector, the model can automatically analyze price information across platforms, providing optimal purchasing suggestions [25][26] Challenges and Opportunities - The rapid growth of multi-modal data presents challenges in data management and processing, necessitating the development of adaptive technologies to optimize performance [19][67] - The company is committed to addressing the challenges of data scarcity in the robotics sector through virtual simulation technologies [68][72] Educational Impact - SenseTime's technology is also being integrated into educational tools, enhancing learning experiences through interactive and immersive methods [50][52] Collaboration and Ecosystem Development - SenseTime collaborates with various partners, including Kirin Software, to develop comprehensive solutions that enhance the domestic AI ecosystem [30][59] Additional Important Content - The company is preparing for the World Artificial Intelligence Conference in 2025, aiming to foster international cooperation and share innovative outcomes [9] - SenseTime's advancements in video editing and AI capabilities are set to revolutionize content creation and enhance user engagement [55][57] This summary encapsulates the key insights from the conference call regarding SenseTime Technology's performance, innovations, market position, and future directions in the AI industry.