来源：36氪 技术，或许就是产业向双碳叙事转型的起点。 在"双碳"目标提出的第五个年头，关于产业生态的讨论，愈发需要一线的声音。 12月23日，由36氪与东方证券及旗下子公司东证创新、东证资本联合发起的第四届"双碳星物种·碳索计划"第三站在上海启动。这也是本届碳索计划的收 官站。 从郑州航空港区的"未来交通"，到北京大兴的"未来能源"，再到上海聚焦"未来技术"，碳索计划沿着双碳目标的现实推进路径，持续向产业纵深行进。 也正因此，本次活动选择走进上海人工智能产业的重要载体"模速空间"，实地探访人工智能从技术创新走向系统落地的现实样本。 作为发起者，东方证券与36氪组织投资机构与产业链上下游企业深入产业现场，围绕AI驱动下的产业创新路径、低碳智能制造的现实可能性展开系统性 探讨。 活动当天，36氪副总裁谢作强、36氪基金副总裁郑王宇、东方证券副总裁陈刚、模速空间副总经理张韵等嘉宾出席现场。同时，现场还进行了人工智能相 关项目路演。 "如果说前两站我们侧重于'看见'产业实践和'链接'多方资源，那么今天我们更希望与各位一起'沉淀'实践洞察、'升维'发展认知。"东方证券副总裁陈刚表 示。东方证券作为资本市场的参与者和推 ...

Core Viewpoint - The article emphasizes the importance of integrating AI technology into low-carbon transformation efforts, highlighting the need for real-world applications and collaboration across industries to achieve carbon neutrality goals [1][9][19]. Group 1: Event Overview - The fourth "Carbon Species Star · Carbon Index Plan" was launched in Shanghai, marking the conclusion of this year's initiative, which aims to explore the intersection of AI and low-carbon development [1][4]. - The event featured discussions on AI-driven industrial innovation and the potential for low-carbon smart manufacturing, with participation from various industry leaders and investment institutions [3][5]. Group 2: AI and Low-Carbon Transition - AI is being re-evaluated as a critical tool for enabling low-carbon transitions within complex industrial systems, with a focus on its ability to optimize processes and reduce emissions [10][14]. - The article notes that the successful implementation of carbon neutrality goals requires a symbiotic relationship between the innovation chain, capital chain, and industrial chain [10][19]. Group 3: Shanghai Model Space - Shanghai's "Mosu Space" serves as a significant hub for AI innovation, providing a platform for over 200 companies and facilitating collaboration across various sectors [13]. - The space aims to accelerate the development of AI applications in industries such as finance, healthcare, and manufacturing, contributing to a robust ecosystem for technology innovation [13][14]. Group 4: Industry Insights - The article highlights that AI technologies are transitioning from a phase of capability demonstration to one of responsibility, where they will directly impact energy consumption and production efficiency [17]. - Various companies presented their AI solutions during the event, showcasing their readiness to integrate into existing industrial systems and contribute to green transformation efforts [15][16].