Core Insights - The continuous iteration of AI large models is driving transformative upgrades in traditional industries, particularly in the chip sector, which is expected to undergo significant changes [1] - AI is anticipated to foster the evolution of new industries and demands, with a focus on smart driving and robotics, as highlighted by Qualcomm's efforts in adapting its technology for various sectors [2] - The emergence of physical and biological intelligence is expected to lead to breakthroughs in AI healthcare, new drugs, and foundational sciences, with a projected increase in the number of robots surpassing humans by 2035 [3] Group 1: AI Development Trends - Zhang Yaqin identified five trends in AI development, including the transition from generative AI to intelligent agents and the rapid rise of AI risks [1] - The scaling law in the pre-training phase is expected to slow down, while the structure of the industry will evolve into a "foundation model + vertical model + edge model" framework [3] Group 2: Qualcomm's Strategic Focus - Qualcomm is actively exploring the robotics and smart wearable device markets, believing that their application scale could rival or exceed that of smartphones [2] - The company has launched the "Leap Dragon" brand to target industrial and embedded IoT markets, aiming to create a comprehensive platform matrix covering both consumer and industry-grade terminals [2] Group 3: Market Opportunities and Challenges - The robotics market is unique, with a significant overlap in technology between automotive and robotics sectors, presenting opportunities for chip development tailored to specific applications [4] - Qualcomm has been collaborating with local supply chain partners in China to foster innovation, particularly in the XR (AR and VR) space, which has seen extensive development over the past decade [5] Group 4: Industry Collaboration and Future Outlook - Qualcomm emphasizes the importance of collaboration with industry partners to drive the redesign and redefinition of products through AI [6] - The company is committed to providing high-quality products and has integrated NFC support in its chips to meet IoT application demands [7] - By creating application demonstration cases and conducting industry-specific analyses, Qualcomm aims to help various sectors, including manufacturing, realize the potential of 5G and AI technologies for transformation [8]

Group 1 - Recently, Li Auto has restructured its autonomous driving department, splitting the original three secondary departments into multiple new ones to enhance efficiency and quality in technology breakthroughs and product implementation [1][4] - The restructuring includes the division of the model algorithm team into three departments: foundational models, VLA models, and model engineering; the mass production R&D team into mass production delivery, software R&D, and active safety; and the data closed-loop team into data platform and data annotation [1][4] - The CEO, Li Xiang, outlined the development of the company's assisted driving in three stages, with the latest stage involving the VLA model, which aims to achieve a level of intelligence comparable to humans by integrating 3D and 2D visual data [2][4] Group 2 - The VLA driver model is described as the third generation of Li Auto's assisted driving technology, capable of understanding road conditions, responding to human commands, and remembering driver habits, resembling a personal driver [4] - The restructuring has resulted in the autonomous driving department being divided into 11 secondary departments, indicating a significant organizational shift to adapt to new R&D rhythms [4] - An innovation department has been added to oversee external technology collaborations and overseas development, managed by the former head of the data closed-loop team [4]

Group 1 - The core point of the news is that Li Auto has restructured its autonomous driving department to enhance the speed and quality of technological breakthroughs and product implementation, evolving towards an AI organization [1] - The restructuring involves splitting the original three secondary departments into multiple new departments, including foundational models, VLA models, model engineering, production delivery, software development, active safety, data platform, and data annotation, resulting in a total of 11 secondary departments [1][3] - Li Auto's CEO, Li Xiang, outlined the development of the company's assisted driving in three stages, with the latest stage being the VLA model, which aims to achieve a level of intelligence comparable to humans by integrating 3D and 2D vision [2] Group 2 - The VLA model has been established as a separate secondary department under the autonomous driving division, indicating a clear technical direction and the need for organizational adaptation to match the new research and development pace [3] - The company has also created an innovation department responsible for external technical cooperation, research, and overseas development, managed by the former head of the data loop team [3]

5月7日，在今晚的理想汽车"AI Talk 第二季"节目中，主持人提问理想汽车CEO李想 ，"今天的智能驾驶其实走到了一个新的十字路口上，有的人说甚至觉得 智能驾驶应该被叫停，你怎么想？" 图片来源：理想汽车微博视频截图 李想表示，"我觉着我们这么多年，从规则算法，做到了端到端+VLM，然后今天真正地迈入到了VLA（视觉语言行动模型）的阶段，我觉得比较像什么？ 比较像黎明前的黑暗吧。我觉得黎明马上就要来了，但是会先经历一个黑暗的过程，之所以有黑暗是因为要迎来黎明。" 李想认为，正因为辅助驾驶行业遇到了问题，所以自己最喜欢、最开心的方式就是去解决行业解决不了的问题。"就像我们推出增程式产品就是为了解决电 池成本高、充电难的问题，推出 5C（电池）也是为了解决充电慢、等待时间长的问题。我们愿意去解决行业中遇到的各种问题。" 李想表示，目前理想汽车做操作系统也是因为过去传统的车控、智控操作系统性能差、开发缓慢、芯片匹配周期长，而这些问题的存在恰好是自身的价值所 在。 随后，主持人提问李想，"为什么人类一定需要智能驾驶呢？为什么科技不能就此止步呢？" 对此，李想表示，"只要人类会雇佣专业司机，我觉得人工智能技术其实就 ...