Currently, the popularity of smart racetracks is unprecedented, and capital, technology, and talents are rapidly pouring in. The industry generally uses full-stack self-research and vertical closed loop as development choices at this stage. However, behind the industrial boom, technology routes have yet to converge, industry standards have not yet been formed, and implementation scenarios are still being explored. Whether the industry will maintain a state of vertical self-development for a long time or will eventually move towards a specialized division of labor has become a core point of contention in the industry. At the 2026 Convergence Intelligence Industry Development Conference co-hosted by the Polymerization Intelligence Industry Innovation Center and Hubei Science Investment, Fan Qingyuan, co-founder of Octopus Power, gave a clear judgment in an exclusive interview with “China Business Daily” and other media: the closed loop of brain-hand data integration is the best shortcut for rapid early iteration of the industry, but it is by no means the end of the industry. With mature technology and clear standards, the industry will inevitably move towards division of labor and collaboration. Established only eight months ago, Octopus Dynamics is an up-and-coming force rapidly rising on the racetrack. Since its establishment in January of this year, the company has built a complete team covering large models, physical AI, hardware research and development, and complex system delivery in a very short period of time, and has quickly implemented the three core products of the world's basic models, bionic dexterous hands, and multi-modal digital acquisition, forming a unique “brain-hand-data” self-development loop. According to Fan Qingyuan, a short-term closed loop is a practical choice for startups to seize the industrial window, quickly verify technology paths, and make up for shortcomings in physical AI productivity, while long-term division of labor and collaboration is an inevitable trend of large-scale, cost-reduction, and industrialization of the integrated intelligent industry.

Currently, the popularity of smart racetracks is unprecedented, and capital, technology, and talents are rapidly pouring in. The industry generally uses full-stack self-research and vertical closed loop as development choices at this stage. However, behind the industrial boom, technology routes have yet to converge, industry standards have not yet been formed, and implementation scenarios are still being explored. Whether the industry will maintain a state of vertical self-development for a long time or will eventually move towards a specialized division of labor has become a core point of contention in the industry. At the 2026 Convergence Intelligence Industry Development Conference co-hosted by the Polymerization Intelligence Industry Innovation Center and Hubei Science Investment, Fan Qingyuan, co-founder of Octopus Power, gave a clear judgment in an exclusive interview with “China Business Daily” and other media: the closed loop of brain-hand data integration is the best shortcut for rapid early iteration of the industry, but it is by no means the end of the industry. With mature technology and clear standards, the industry will inevitably move towards division of labor and collaboration. Established only eight months ago, Octopus Dynamics is an up-and-coming force rapidly rising on the racetrack. Since its establishment in January of this year, the company has built a complete team covering large models, physical AI, hardware research and development, and complex system delivery in a very short period of time, and has quickly implemented the three core products of the world's basic models, bionic dexterous hands, and multi-modal digital acquisition, forming a unique “brain-hand-data” self-development loop. According to Fan Qingyuan, a short-term closed loop is a practical choice for startups to seize the industrial window, quickly verify technology paths, and make up for shortcomings in physical AI productivity, while long-term division of labor and collaboration is an inevitable trend of large-scale, cost-reduction, and industrialization of the integrated intelligent industry.