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.

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文丨贺乾明 编辑丨程曼祺 吴泳铭难得的公开亮相，给了阿里云。 去年 9 月， 吴泳铭接任阿里巴巴集团 CEO，后直接管理两大业务板块 ：一是阿里赖以起家，目前 仍为最大主业的电商，吴泳铭是淘天集团董事长兼 CEO；另一个就是阿里云，吴泳铭同时担任阿里 云智能集团董事长兼 CEO。自那以后，吴泳铭甚少公开露面，去年的双十一晚会他也没有参加。 在 9 月 19 日举办的 2024 云栖大会上，吴泳铭在主题演讲中说："新技术应用早期，渗透率比较 低，大部分人会产生怀疑，这很正常。但新技术革命会在人们的怀疑中成长，让很多人在迟疑中错 过。" 吴泳铭：生成式 AI 最大的想象力，不是一两个手机上的超级 App。 这概括了如今大模型领域的观点分歧。由 ChatGPT 引发的大模型和生成式 AI 热潮，因一系列进展 不如预期——GPT-5 迟迟未发、Sora 未大规模开放等——在今年下半年转冷。微软、Google 等公司 的财报会上，高管们频繁被追问：到底如何平衡大模型的投入与收益？ 直到一周前，OpenAI 在 9 月 13 日发布最新模型 o1 系列，展示投入更多算力、数据等资源，依然 能换来模型性能提升，才一定程度上 ...