Core Insights - The event "Empowering New Energy, Driving the Future" focused on the transformation of achievements by young scientists and the high-quality development of embodied intelligence, gathering over a hundred young scientists and renowned company entrepreneurs [1] Group 1: Technological Innovations - Dr. Jiyuan Jie from Qianxun Intelligent shared a solution that employs a three-stage learning path similar to large models, which includes pre-training with internet images, imitation learning data from real robots, and reinforcement learning to enhance performance [3] - This architecture addresses the multimodal challenges in traditional imitation learning, allowing models to flexibly choose various paths to achieve the same task rather than just replicating average actions [3] Group 2: Engineering and Commercialization - The true breakthrough in embodied intelligence lies not only in the choice of technological paths but also in the engineering capabilities that enable practical applications, with Qianxun Intelligent possessing top-tier hardware manufacturing capabilities and a pioneering software team [5] - The company's mission is to enable 10% of the global population to own their robots within ten years, showcasing technology maturity through specific industrial applications [5]

Core Viewpoint - The CEO of Li Auto, Li Xiang, discussed the transition of the auxiliary driving system to the VLA architecture, questioning its efficiency compared to potential future architectures [1] Group 1 - VLA architecture is capable of addressing full autonomous driving, but its efficiency as the optimal solution is uncertain [1] - Li Xiang highlighted that VLA is still based on the transformer architecture, which raises questions about whether transformer is the most efficient architecture available [1] - Currently, VLA is considered the most powerful architecture in terms of capabilities [1]