The forum host introduces the concept of multimodal AI, emphasizing its significance in modern large models and its potential to unify language, vision, and other modalities.
02:01
Panel Introduction by Forum Host
The forum host introduces the distinguished panel members, including leaders from academia and industry, such as professors, researchers, and innovators.
05:27
Debate on Language Models vs. Multimodal AI — Qiu
Qiu discusses two competing perspectives: whether language models are central to AI or if multimodal systems are essential to bridging physical and digital worlds.
11:36
Critical Framework for AI Progress — Xiangyu
Xiangyu outlines the importance of learning paradigms like autonomous learning, exploration, and context modeling as crucial for the next generation of AI systems.
18:43
Challenges in Continuous AI Evolution — Panel
Panelists collectively discuss key challenges in AI evolution, emphasizing self-improvement, memory modeling, and world modeling as the future of intelligent systems.
43:20
Conclusion and Next Steps by Forum Host
The host thanks the panelists for their insights and emphasizes the importance of long-term collaboration between academia and industry to shape the future of AI development.
55:14
Keynote Speech by SenseTime CEO Xu Li
Xu Li elaborates on SenseTime’s advancements in multimodal intelligent systems, highlights industry collaborations, and outlines strategies for AI deployment to wider audiences.
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