这两天，马斯克的一句公开发言，引发了全网热议。 话题不新鲜，仍是跟特斯拉的 FSD（全自动驾驶）功能有关； 这段视频迅速获得了数百万的观看量，同时，评论区迅速出现不少网友表示质疑，这操作合法？ 对此，很快马斯克在该视频下面直接给出官方回应： 大概 3 到 6 个月后可以实现，具体取决于所在城市和州的监管批准。 这样的官宣，无疑把自动驾驶技术发展与现实法律监管的平衡问题，再一次拉回大众视野。 技术上，特斯拉有没有能力、什么时候能实现 " 开车时玩游戏 " 的场景？ 只是这次马斯克公开透露其新进展，颇具颠覆性。 起因是一条视频在网上疯传： 视频中，一位特斯拉 Cybertruck 车主在启用 FSD（全自动驾驶）功能后，在车载屏幕上玩起了游戏。 法律上，相关技术该如何界定、完善、监管、落实责任划分体系？ 这两者都事关行业未来发展，今天也借机进一步聊聊这事儿。 01 首先，马斯克上面提到的特斯拉 FSD 模式玩游戏的愿景，其实早在去年他就提及过。 有消息称，当时特斯拉在网上透露特斯拉正在开发 " FSD 模式下游戏 " 功能。 今天的回应，算是直接确认该功能的开发进度（ 3-6 个月后实现）和上线条件（需要看各地的 ...

Core Viewpoint - The article emphasizes that China is leading in the penetration of L2-level assisted driving technology, with over 50% of new cars equipped with such features, indicating a significant shift in consumer preferences towards smart driving technologies [1][2]. Group 1: Market Penetration and Trends - In China, for every two new cars sold, at least one is equipped with L2-level assisted driving technology, reflecting a growing consumer demand for smart driving features [2]. - The penetration rate of L2-level and above assisted driving functions in new energy passenger vehicles reached 77.8% in the first four months of this year, while traditional fuel passenger vehicles exceeded 52% [2]. - The overall installation rate of automatic parking systems (APA) in passenger vehicles is 31.2%, with rates above 50% in the market segment priced over 240,000 yuan [2]. Group 2: Competitive Landscape - Despite lower installation rates of smart technologies in the U.S. market, it remains competitive in core intelligent technology areas, with Tesla's FSD being a global leader and companies like NVIDIA dominating in high-performance computing chips [2]. - The article highlights the urgent need for the Chinese automotive industry to consolidate and expand its advantages in smart technology [2]. Group 3: Future Development Paths - The future development of smart driving in China can be divided into two paths: focusing on higher-level autonomous driving (L3 and above) and transitioning core competencies towards smart technology and AI [3]. - The automotive industry is expected to see a shift in cost structure, with mechanical components dropping below 30% of total costs by 2030, while electronic costs could rise to 70% [3]. Group 4: Regulatory Environment - Various regions in China have introduced regulations to promote the implementation of L3-level and above autonomous driving, such as the regulations released by Beijing and Wuhan earlier this year [4].