北京的风已经开始刺骨了。站在2025年的尾巴上回头看，这一年的机器人圈子，给人一种强烈的割裂 感。 上海不仅装脑子，更是最残酷的"练兵场" 在很多人印象里，上海是精致的、体面的，甚至是喝着咖啡谈生意的。但在机器人版图里，上海的角色 要糙得多，也硬得多：上海是动作控制的高地，更是汽车链的修罗场。 上一篇聊珠三角，我们看到了深圳速度：仿佛一夜之间，造机器人变得比造手机还容易，是个厂子都能 攒出来一台。随之而来的，是一场令人眼花缭乱的视频军备竞赛——打开朋友圈，你每天都能刷到新的 演示视频，画面里的机器人个个生龙活虎，能跑能跳，甚至把后空翻当成了标配。 但建议大家把倍速关掉，把那些激昂的BGM关掉，凑近了，盯着机器人的手看三秒钟。你会发现一个 让从业者脸红的现象：抖。 静态摆拍时，它们是充满未来感的艺术品；一旦伸手拿杯子，或者做个穿针引线的细活，那种肉眼可见 的高频颤抖，立马让它从"终结者"变成了"帕金森患者"。 这就是我们今天要聊的第二场战争——精度战。如果说珠三角决定了机器人能不能生出来，那么"上海 —苏州—杭州"这条长三角智造走廊，则决定了机器人能不能干细活。 所以不能光盯着热闹的深圳湾，咱们得往长三角看看。 ...

Core Viewpoint - The article discusses the evolving landscape of the autonomous driving industry in China, highlighting the shift in competitive dynamics and the increasing investment in autonomous driving technologies as a core focus of AI development [1][2]. Industry Trends - The autonomous driving sector has undergone significant changes over the past two years, with new players entering the market and existing companies focusing on improving execution capabilities [1]. - The industry experienced a flourishing period before 2022, where companies with standout technologies could thrive, but has since transitioned into a more competitive environment that emphasizes addressing weaknesses [1]. - Companies that remain active in the market are progressively enhancing their hardware, software, AI capabilities, and engineering implementation to survive and excel [1]. Future Outlook - By 2025, the industry is expected to enter a "calm period," where unresolved technical challenges in areas like L3, L4, and Robotaxi will continue to present opportunities for professionals in the field [2]. - The article emphasizes the importance of comprehensive skill sets for individuals in the autonomous driving sector, suggesting that those with a short-term profit mindset may not endure in the long run [2]. Community and Learning Resources - The "Autonomous Driving Heart Knowledge Planet" community has been established to provide a comprehensive platform for learning and sharing knowledge in the autonomous driving field, featuring over 4,000 members and aiming for a growth to nearly 10,000 in the next two years [4][17]. - The community offers a variety of resources, including video content, learning pathways, Q&A sessions, and job exchange opportunities, catering to both beginners and advanced learners [4][6][18]. - Members can access detailed technical routes and practical solutions for various autonomous driving challenges, significantly reducing the time needed for research and learning [6][18]. Technical Focus Areas - The community has compiled over 40 technical routes related to autonomous driving, covering areas such as end-to-end learning, multi-modal models, and various simulation platforms [18][39]. - There is a strong emphasis on practical applications, with resources available for data processing, 4D labeling, and engineering practices in autonomous driving [12][18]. Job Opportunities - The community facilitates job opportunities by connecting members with openings in leading autonomous driving companies, providing a platform for resume submissions and internal referrals [13][22].