Pinlong Cai | 蔡品隆
Research Scientist, Shanghai Artificial Intelligence Laboratory
Xuhui District, Shanghai, China
caipinlong@pjlab.org.cn
Google scholar | ORCID | ResearchGate
I have long focused on data-driven modeling for intelligent systems, applying these approaches to several domains such as Intelligent Transportation, Autonomous Driving, and Industrial Automation. Yet with the rapid emergence of Artificial General Intelligence (AGI), exemplified by large multimodal models, my perspective has gradually shifted from fitting tasks with data toward enabling machines to understand the world.
I believe true AGI should not merely be larger models, but systems that embrace knowledge-driven learning, perhaps by emulating human cognition, or through continuous self-evolution via interaction with the environment. Rather than replacing human intelligence, AGI will be an awakening of machine intelligence guided and accompanied by humanity. This evolution has the potential to fundamentally reshape how scientific discovery unfolds and profoundly advance the trajectory of human civilization.
I am committed to contributing to this journey, not just for the technology itself, but for the transformative future it may bring.