野心背后的伦理隐忧 据新华社援引马斯克社交媒体动态，2025年12月31日，马斯克明确表示，其脑机接口公司"神经连接"将在2026年开始对脑机接口设备进行"大规模生产"。这 标志着该项技术正试图从医学实验阶段跨入标准化"工业产品"门槛。马斯克在声明中强调，2026年的核心目标之一是转向"更加精简和几乎完全自动化的外 科手术流程"。 随着2026年钟声的敲响，世界首富埃隆·马斯克再次抛出两项引发关注的动态。这位身处风口浪尖的亿万富翁，试图在辞旧迎新的时刻通过大胆 的承诺来对冲其名下企业面临的重重争议。 首先是马斯克旗下备受关注的脑机接口公司"神经连接"（Neuralink），正式宣布旗下产品进入量产阶段；另一边则是特斯拉在自主驾驶领域的突 破，一名特斯拉车主通过全程FSD（完全自动驾驶）的方式成功横跨美国大陆，甚至连途中寻找服务站充电也无需车主人工介入。 然而在这场技术狂欢的阴影下，来自监管机构、医疗专家以及伦理学者的质疑声也愈发响亮。 ▲马斯克（资料图片 据视觉中国） 脑机接口步入"量产元年" 几乎在同一时间，马斯克转发的一段特斯拉车主视频引爆舆论。该车主宣称，他开启了最新版本的FSD系统，在几乎没有人类干预 ...

当华尔街的分析师还在修正对超级富豪身家的想象力边界时，埃隆・马斯克已经将这个边界推向了前所未有的高度。 6770 亿美元——这个足以让历史上所有富豪都黯然失色的数字，让他成为人类史上首位冲破 6000 亿美元大关的财富创造者，而距离那个被视为遥不可及的 万亿富翁目标，似乎只剩下一层窗户纸。 这不是单一公司的胜利，而是一个横跨太空、汽车、人工智能的科技帝国协同爆发的结果，九股核心力量正共同将这位硅谷 "颠覆者" 推向财富之巅。 SpaceX的估值翻倍堪称这场财富盛宴的引爆点。 这家曾被质疑"烧钱无底洞"的火箭公司在12月的内部要约收购中给出了8000亿美元的惊人估值，较8月的4000亿美元直接翻倍，一举超越 OpenAI 成为全球 最大独角兽。 支撑这一天价估值的，是马斯克手中42%的股权。仅这一项就为他带来1680亿美元的身家增长，成为本次财富飙升的核心引擎。 路透社援引SpaceX首席财务官Bret Johnsen的股东信函称，公司正加速推进2026年IPO计划，目前的二次股票出售以每股 421 美元定价，为上市铺路。 对于资本市场而言，SpaceX早已不是单纯的火箭公司，而是集太空运输、卫星互联网、星际探 ...

在中国市场，特斯拉被国产汽车制造商全方位包围，市场占有率正持续下滑，汽车销售收入增速也出现明显放缓。小米、蔚来、小鹏等都想踩着特斯拉实 现销量突飞猛进，甚至是在第四季度盈利。 特斯拉似乎走到了关键的岔路口，又不得已做出了"错误"的选择。 但就是这样的处境下，特斯拉11月已正式通知其全球供应商：未来两年内，所有供应给美国工厂的汽车零部件，必须彻底排除中国产品。 多重压力的夹击下，特斯拉的未来发展将会是什么样？ 销量骤降的特斯拉 当下，特斯拉在中国市场的销量正经历断崖式下跌，市场表现令人担忧。 懂车帝数据显示，2025年10月，特斯拉Model Y和Model 3的销量合计26006辆。同比下降35.76%，环比下降63.64%，创2022年11月以来新低。其中，曾 长期稳坐SUV销冠的ModelY表现尤为惨淡，2025年10月销量仅为1.95万辆，被小米YU7以3.37万辆的成绩大幅度超越。 图/特斯拉"去中国化"来源/互联网 新能源观截图 特斯拉"去中国化"的战略倾向将自己推向舆论焦点，间接拉远了与中国消费者的距离，影响购买意愿。长远来看，它或许会失去中国这个重要市场。 这是特斯拉不想看到的。11月26日，特 ...

Core Viewpoint - Elon Musk has received a potentially $1 trillion compensation package, which is unprecedented in human business history, amidst significant challenges faced by Tesla, including a 45% drop in European sales and a halved profit in the first quarter [5][7][8]. Group 1: Compensation Structure - The $1 trillion compensation is contingent upon Musk increasing Tesla's market value from $1.5 trillion to $8.5 trillion, representing a 466% increase [14][15]. - The compensation is divided into 12 milestones, each tied to specific performance targets, including achieving a market cap of $2 trillion and selling 1 million Optimus humanoid robots [17][18]. - Achieving these targets is described as "extremely challenging," with analysts suggesting that even partial success could yield Musk hundreds of billions [20][24]. Group 2: Shareholder Sentiment - Despite skepticism from professional investors, including Norway's sovereign fund, 75% of shareholders voted in favor of Musk's compensation plan, viewing it as a necessary gamble to retain his leadership [9][10][28]. - Retail investors expressed strong support for Musk, equating his leadership with Tesla's identity, leading to a "faith vote" rather than a purely rational business decision [28][39]. Group 3: Strategic Implications - The compensation package is seen as a strategic investment in Tesla's future, emphasizing its transition from an automotive company to a leader in AI and robotics [57][58]. - Musk's vision includes the potential for a market dominated by humanoid robots, with predictions of billions of units sold by 2030, which could justify the ambitious market cap target [44][45]. - The plan signals a broader industry shift towards AI and robotics, positioning Tesla at the forefront of this transformation [57][58].

Core Points - Elon Musk has received a potentially $1 trillion compensation package, which is considered the most expensive in business history [5][12] - The approval of this package comes at a time when Tesla is facing significant challenges, including a 45% drop in European sales and a halving of profits [6][10] - Despite skepticism from professional investors, retail shareholders overwhelmingly supported the package, viewing Musk as integral to Tesla's identity and future [22][33] Company Performance - Tesla's current market value is $1.5 trillion, and Musk's compensation is contingent upon increasing this to $8.5 trillion, a 466% increase [12][15] - The compensation is divided into 12 milestones, each requiring specific performance targets, including achieving a market cap of $2 trillion and selling 1 million humanoid robots [13][14] - Analysts have noted that even achieving a few of these milestones could result in Musk earning hundreds of billions, raising concerns about the feasibility of the targets [18][20] Shareholder Sentiment - Retail investors are more focused on Musk's vision and past successes than on corporate governance principles, leading to a 75% approval vote for the compensation package [32][50] - The sentiment among shareholders is that without Musk, Tesla's stock would plummet, prompting them to support the package as a means to retain his leadership [33][50] - The vote reflects a belief in Musk's ability to turn ambitious visions into reality, despite the risks involved [47][50] Strategic Implications - The $1 trillion package is seen as a strategic investment in Tesla's future direction towards AI and robotics, rather than just a salary [49][50] - Musk's focus on humanoid robots and autonomous vehicles positions Tesla as a leader in these emerging markets, with potential for significant market share [38][49] - The approval of this compensation plan signals a commitment to ambitious technological advancements, which could reshape the automotive and tech industries [49][50]

Core Viewpoint - Tesla has unveiled a neural network-based "World Simulator" designed to create a realistic virtual training environment for its Full Self-Driving (FSD) and Optimus robot projects, significantly reducing reliance on real-world road testing and enabling AI to learn the equivalent of 500 years of human driving experience in just one day [1][3][5]. Group 1: World Simulator Features - The "World Simulator" generates continuous, multi-angle driving scenarios based on vast amounts of real-world data, allowing for high-fidelity virtual driving experiences [3]. - It enables closed-loop evaluations, where new FSD models can be tested in a virtual environment without the risks and costs associated with real road tests [10]. - The simulator can recreate historical dangerous scenarios and generate extreme "long-tail" situations to rigorously test AI models [12]. Group 2: AI Engine and Generalization - The underlying AI engine and simulation platform are versatile, being used for both vehicle training and the Optimus humanoid robot, aligning with Elon Musk's vision of creating a general AI capable of interacting with the physical world [7][18]. - The simulator's core function is to predict future scenarios based on current vehicle states and driving commands, rather than merely simulating driving [8]. Group 3: Technical Architecture - Tesla's choice of an "end-to-end" architecture allows the AI model to directly process pixel data and output driving commands, facilitating overall system optimization [13][14]. - This approach eliminates information loss that can occur in modular systems, enabling the AI to make nuanced decisions based on real-time data [14][15]. - The architecture is designed to handle the "long-tail problem" effectively, with lower latency and a unified computational framework [16]. Group 4: Data Handling and Transparency - Tesla faces challenges with processing vast amounts of data, estimating input tokens at 2 billion while outputting only two commands, which could lead to learning incorrect correlations [17]. - The company has developed a complex "data engine" to filter valuable training samples from its extensive data flow [17]. - Addressing the "black box" criticism, Tesla's AI can provide interpretable outputs and generate 3D models of the environment, offering insights into its decision-making process [17]. Group 5: Market Implications and Concerns - Tesla's ambitions extend beyond automotive applications, as the AI system and simulator are being adapted for the Optimus robot project, indicating a broader goal of developing general AI [18]. - This strategic direction has sparked market discussions and investor concerns, particularly regarding the potential for competitors to leverage simulation technology without needing extensive vehicle fleets [20]. - There are ongoing concerns about existing product safety issues, such as "phantom braking," which Tesla must address while pursuing its grand narrative [21].

Core Viewpoint - Shanghai has issued demonstration operation permits for smart connected vehicles to eight companies, including Xiaoma Zhixing, which has launched a driverless Robotaxi service, highlighting differences in technology routes, business models, and implementation strategies compared to Tesla [1] Group 1: Technology Route - Xiaoma Zhixing's Robotaxi utilizes an L4 autonomous driving solution, focusing on "predictive capabilities" to enhance decision-making similar to human drivers, suitable for China's dense traffic environment [3] - Tesla relies on extensive user fleet data to iteratively improve its Full Self-Driving (FSD) system, aiming for a gradual transition from L2 to L4, but still requires human supervision [3] Group 2: Business Model - Xiaoma Zhixing adopts a "regional pilot" strategy, initially operating in specific areas of Pudong with a pricing model of "14 yuan starting + 2.7 yuan/km," closely aligned with traditional ride-hailing services [4] - Tesla plans a global Robotaxi network with a subscription service and a "car owner shared fleet" concept, though specific pricing details have not been disclosed [4] Group 3: Implementation Challenges - Xiaoma Zhixing is closely aligned with Chinese regulations, gradually expanding its testing range, but may face capacity issues during peak times due to limited vehicle numbers [5] - Tesla encounters a more complex global regulatory environment, needing to adapt its technology to various traffic rules and address the debate over lidar versus non-lidar approaches [5] Group 4: Overall Perspective - Xiaoma Zhixing exemplifies a pragmatic approach to autonomous driving in China, while Tesla continues its legacy of disruptive innovation [6] - Future competition may evolve into a long-term contest between these two technological routes, with user experience and safety records becoming critical factors [6]