知鱼智联CTO董云鹏：发布“里链”AI智能体集群，以AI原生技术重构空间数智化未来形态

Core Insights - The forum highlighted the importance of AI-native technologies in reshaping spatial intelligence systems, with the launch of the "LiChain" AI agent cluster product by Zhiyu Zhili [1][3] - The evolution of spatial intelligence is now centered around AI-native approaches, emphasizing the integration of industry knowledge, AI tools, and human-machine collaboration [3][10] Company Developments - Zhiyu Zhili has developed the "LiChain" AI agent cluster, which features three core capabilities: intelligent computing power scheduling, industry model refinement, and collaborative agent networks [6][10] - The company has achieved over 70% code auto-generation in its AI-native reconstruction, transforming its development team to focus on architecture design and effect validation [10] Industry Trends - The current phase of spatial intelligence is moving beyond simple technology stacking to creating "spatial intelligent agents" with perception, analysis, decision-making, and interaction capabilities [10] - The "Double Hundred Star Chain" ecological co-construction initiative aims to unify standards in spatial intelligence, involving multiple industry partners to foster collaborative development [10][12] Technological Innovations - Zhiyu Zhili's AI platform addresses key technical pain points by ensuring data credibility and usability, which are essential for effective AI model training [12] - The company employs domestic technology to safeguard data sovereignty and security, enhancing the reliability of its AI applications [12] Future Outlook - The future of spatial intelligence is seen as a collaborative coexistence between humans and machines, allowing workers to focus on creative and complex decision-making tasks [12][13] - As digital technologies mature, spatial intelligence is expected to play a crucial role in driving industrial transformation and upgrading [13]