快科技2月27日消息，据报道，特斯拉CEO马斯克在最新采访中喊话投资者："请继续持有你们的特斯 拉股票。我认为它将会价值连城 这是我的赌注"。 马斯克在访谈中进一步描绘了特斯拉的长远蓝图："20年后，我想说特斯拉连在月球上都建有工厂了。 实际上，总体而言，我看到了特斯拉非常繁荣的未来。很难预测20年后的事情，但如果你说5到10年， 我可以说特斯拉拥有极其光明的未来。" 英伟达虽最新财报业绩与指引均超市场预期，但投资者对AI资本支出可持续性的担忧，引发了科技板 块的整体避险情绪。 目前特斯拉正推进多项核心业务布局，完全自动驾驶（FSD）技术预计3月20日在荷兰获批，得州超级 工厂的Cybercab已启动生产，将于4月规模化投产，柏林超级工厂也将开启电池单元量产。 2026年特斯拉有五座工厂将大规模投产，五条主要生产线同步落地，同时Optimus机器人、Semi重型卡 车等新产品也在推进欧洲市场布局。 马斯克还提及，特斯拉在全球多地的产能与产业链布局正持续完善，柏林超级工厂计划实现电池、阴 极、阳极等环节的垂直整合。 未来还将拓展更多产品生产，成为欧洲最大的工厂综合体之一。 受英伟达股价大幅波动影响，美股科技股出 ...

智通财经APP获悉，国金证券发布研报称，马年央视春晚"含Bot"量再度提升，在ToB/C客群差异、大 脑/小脑层面泛化性要求的区分下，人形机器人形成多类买单方画像清晰且现阶段具身智能足以胜任的 商业化场景。泛化是机器人区别于自动化机器设备的本质区别，也是解锁多元商业化场景的钥匙。具身 训练中，真机数据是刚需，而仿真与人类视频可以提供数据扩展必要的数量级补充，一段式学习系统、 大脑侧模型预训练以及小脑侧三条路线均在过去一年中取得突破性进展。 1)一段式学习系统取得阶段性突破。26年初，Figure AI发布Helix 02，新增运动直觉S0系统，能够在整 个房间范围内实现"灵巧、长时程的自主行为"；同期，特斯拉选择将Optimus与无人驾驶共享一套闭环 仿真世界模型，并希望将Grok大模型作为Optimus机器人集群的高级调度中枢。 国金证券主要观点如下： 从央视春晚Bot火热看人形机器人四大潜在商业化场景 马年央视春晚"含Bot"量再度提升，松延动力、宇树科技、魔法原子、银河通用&Sharpa为全国人民贡献 了四台兼顾科技属性与人文关怀的精彩节目，也展示出人形机器人产业面向商业化落地的最新尝试。以 星海图前首 ...

Core Insights - The article highlights the contrasting performance and market valuation of Toyota and Tesla, with Toyota selling 11.32 million vehicles and Tesla delivering 1.63 million vehicles in 2025, resulting in a sales gap of 9.69 million vehicles [1][3] - Despite Toyota's higher sales and net profit of $31.2 billion compared to Tesla's under $3.8 billion, Tesla's market capitalization reached $1.54 trillion, nearly five times that of Toyota's $311 billion, indicating a significant shift in how the capital market evaluates automotive companies [3][5] - The article emphasizes that Tesla's focus has shifted from merely selling cars to providing transportation services, with plans to develop AI and robotics technologies, which are seen as future growth drivers [5][12] Sales and Profit Comparison - In 2025, Toyota is projected to generate a net profit of $31.2 billion, while Tesla's profit is expected to be less than $3.8 billion [3] - Tesla's market capitalization is significantly higher at $1.54 trillion compared to Toyota's $311 billion, illustrating a valuation disparity [3] Business Strategy and Future Outlook - Tesla's CEO Elon Musk has indicated a strategic pivot, with plans to cease production of the Model S and Model X to focus on manufacturing robots, aiming for an annual output of 1 million units [5] - The company's mission has evolved to prioritize wealth generation through AI and robotics, positioning itself for a future of high-income opportunities [5][12] - Tesla's upcoming Cybercab, a robotaxi, is set to be mass-produced, with a projected price of $30,000, which is lower than the entry-level Model 3, indicating a competitive pricing strategy in the robotaxi market [10][12] Legal and Regulatory Challenges - Tesla has filed a lawsuit against the California DMV to overturn a ruling that found the company guilty of false advertising regarding its autonomous driving capabilities [13][15] - The lawsuit aims to protect Tesla's brand reputation and facilitate the commercialization of the Cybercab, as the company seeks to eliminate potential legal risks [15] Market Potential - The robotaxi market is projected to exceed $400 billion by 2026, highlighting the significant growth potential in this sector [12] - Tesla's Robotaxi fleet has reportedly surpassed 200 vehicles, with plans for exponential growth, indicating strong ambitions in this emerging market [15]

野心还看不懂吗？ 对于马斯克和他背后的商业帝国，不能再用老眼光看了。 特斯拉可能既是商业伙伴，又是国家威胁。 想象一下，当最后一辆特斯拉Model S缓缓驶下加州弗里蒙特工厂的生产线，经过一番改造后，从这里将走出以百万计的Optimus机器人；想象一下，马斯 克的SpaceX及其全资拥有的子公司xAI正在参加五角大楼的秘密项目，目标是研发可由语音控制、自主运行的无人机集群技术…… 随着市场逐渐饱和、竞争对手不断涌现，电动汽车市场竞争愈发激烈，利润空间也在不断被压缩。 2025年，特斯拉全球交付163.61万辆电动车，同比下降8.56%，连续第二年下滑。 那一刻，可能既是在宣告特斯拉一个时代的结束，也是人类工业史上一个新里程碑时刻。 1月28日，特斯拉四季度业绩电话会议上，CEO埃隆·马斯克宣布将于今年二季度末正式停产Model S和Model X，腾出产能用于生产Optimus机器人。 在马斯克眼中，Optimus和Cybercab无人驾驶出租车才是特斯拉未来的核心增长点，这与其在SpaceX和星链的布局一脉相承。特斯拉作为现金牛和融资基 盘，为马斯克其他业务创造稳定的资金来源。 然而，马斯克的野心不断膨胀， ...

Core Viewpoint - OpenAI CEO Sam Altman believes that the concept of orbital data centers is impractical in the current context, citing economic and technical challenges associated with launching data centers into space [2][3]. Group 1: OpenAI's Perspective - Altman stated that the idea of sending data centers into space is absurd given the current circumstances, particularly due to the high launch costs and difficulties in addressing issues related to components like GPUs [3]. - He acknowledged the future potential of orbital data centers but emphasized that the technology is not yet at that stage [3]. Group 2: Elon Musk and SpaceX's Vision - Elon Musk has been advocating for the establishment of data centers in space, claiming that the lowest cost for deploying artificial intelligence will be in space, with a target timeline of two to three years [3]. - Musk's vision includes integrating xAI with SpaceX to accelerate the orbital data center project, which aims to create a network of one million satellites functioning as orbital data centers [3]. Group 3: Google's Initiatives - Google is also exploring the concept of space data centers, with CEO Sundar Pichai describing the initiative as a "moonshot" project aimed at developing a solar-powered system that exceeds Earth's current energy production capabilities [4]. - Pichai mentioned that Google plans to take the first step towards this goal by deploying small equipment racks on satellites by 2027, expressing confidence that this approach will become a conventional method for building data centers in about ten years [4][5]. - The internal project at Google, named "Project Suncatcher," aims to utilize solar energy from space to address the growing energy demands of artificial intelligence while reducing the environmental impact of traditional data centers [5].

文 任泽平 刚从美国回来，我才明白马斯克说的"超音速海啸"是什么意思。亲历CES和硅谷后，我只有一个感觉：震撼！一个新时代真的来了。 AI不是风口，是海啸。 1、CES变成AI展，机器人已"判若两人" 2026年，或许就是那个转折点。届时汽车行业将彻底洗牌。 今年CES只有一个主题：AI。整个展会火爆到难以想象。机器人、自动驾驶展位，挤得人山人海。 机器人的进步太快了。看到它们轻松地翻跟斗、打拳击、端盘子，还能安静地折纸。去年还有人嘲笑机器人笨拙，今年所有人都开始担心自己会 不会被替代。马斯克放出豪言，3年内Optimus机器人手术水平将超越全球顶尖医生。 在旧金山街头到处都是Waymo的无人驾驶出租车，行驶流畅。AI是这个时代最大机会，可能远超三十年前的IT互联网。 2、亲驾FSD后背心发凉，马斯克没吹牛 我试驾了特斯拉最新FSD。一个词，丝滑。全程无需接管，红绿灯、调头、进出主路，系统处理的比老司机还稳。马斯克坚持纯视觉，靠的是海 量数据和强大算力。 我把体验分享给国内的企业家。余承东认为，国内路况更复杂，加上激光雷达方案会更安全。 但一个共识是无人驾驶的大规模落地，比我们想象中快得多。马斯克、余承东、何 ...

Group 1: AI Applications - The global AI competition is intensifying, with model iterations driving deeper application scenarios, and the focus is on whether significant capital expenditures by tech giants can lead to commercial applications [2][3] - The competitive landscape for AI applications is shifting from dominance by OpenAI to a more multipolar environment, with major players like Google and Meta integrating AI into their ecosystems [3] - In China, AI applications are experiencing a breakthrough, with major tech companies accelerating model iterations and application deployments, leading to a transformation from model landing to scenario monetization [5] Group 2: AI Computing Power - Overseas, major cloud service providers are maintaining high capital expenditures, with a projected increase of 67% in 2026, reflecting a strong demand for AI computing power [7][8] - In China, leading tech companies are increasing capital expenditures and accelerating the iteration of domestic large models, promoting the performance of domestic chips amid tightening supply from foreign sources [9] Group 3: Storage - The demand for storage is entering a new super cycle driven by AI training and inference needs, with AI servers consuming significantly more memory than traditional servers [11][16] - Supply constraints are expected to persist, leading to continued high prices for storage components, as major manufacturers shift production focus to advanced memory types [16] Group 4: Commercial Aerospace - Commercial aerospace is becoming a key battleground in US-China competition, with significant policy support and funding initiatives in both countries to accelerate industry development [19][21] - Domestic companies are achieving breakthroughs in satellite mass production and reusable rocket technologies, transitioning from technical validation to commercialization [22] Group 5: Humanoid Robots - Major overseas companies are ramping up production plans for humanoid robots, benefiting domestic component suppliers, with Tesla aiming for a production capacity of 500,000 units by 2026 [27][30] - Chinese manufacturers are leading in humanoid robot shipments, with significant contracts and production milestones achieved in 2025 [30] Group 6: Intelligent Driving - Domestic policies are expected to facilitate the commercialization of L3 autonomous driving in 2026, with several manufacturers preparing to launch L3 models [32][33] - Tesla's Full Self-Driving (FSD) technology is setting the direction for autonomous driving, with significant advancements in AI capabilities [35] Group 7: Energy Storage - The expansion of AI computing power in North America is driving electricity demand, with domestic power equipment expected to accelerate exports [37][40] - China's "14th Five-Year Plan" includes significant investments in the power grid and energy storage, creating a favorable environment for industry growth [40][43] Group 8: Chemicals - The chemical industry is undergoing a transformation driven by policies aimed at supply-side reform, with a focus on optimizing supply structures and reducing excess capacity [44][47] - New economic sectors are boosting demand for chemical materials, particularly in AI, renewable energy, and robotics, leading to a favorable outlook for new materials [47][48]

16 星期一 2026年2月 信息来源：网络 编辑-楓華 投资方Fortuna Investments CEO贾斯图斯·帕尔马（Justus Parmar）指出："登陆月球成本更低、周期更短，是向火星计划迈 出的理性一步。" 02 月球城市蓝图：阿尔法基地长啥样？ 虽然施工方案尚未公开，但根据公开信息，我们可以勾勒出"阿尔法月球基地"的大致样貌： 火星太慢、太远：最佳发射窗口每26个月一次，单程飞行需6个月。一旦初期殖民地出现紧急情况，救援和补给可能 要等上半年甚至更久。 月球更快、更安全：发射窗口约每10天一次，飞行仅2天，补给频率和应急响应速度大幅提升。 那个曾断言"月球只是干扰"、高喊"直奔火星"的狂人马斯克，变卦了。 2月9日至10日，马斯克在社交平台X上连续发帖， 正式宣布SpaceX战略重心大调：未来10年的头等大事，不再是火星，而是在月球上建造一座能够"自我发育"的城市。 这不仅是一个梦想的位移，更是一次基于生存危机的"冷酷计算"。 01 星际梦想绕道：火星给月球让路 马斯克的战略调整，其实源于冷酷的现实考量——速度。 马斯克算了一笔账："月球城市可在不到10年实现自我发展，而火星城市则需要20 ...

Group 1 - The core mission of Tesla has evolved significantly over the years, shifting from "accelerating the world's transition to sustainable energy" in 2019 to "stunning prosperity" recently, indicating a departure from its original environmental focus [2][3] - Elon Musk has declared that Tesla is not merely a car company but a robotics company, planning to cease production of Model S and X in favor of producing 1 million units of the Optimus robot [2] - SpaceX's objectives have also changed, with Musk announcing a new focus on building self-sustaining cities on the Moon, while still claiming to pursue Mars city development, although timelines remain vague [2] Group 2 - Analysts suggest that Musk's shifting missions are not driven by noble ideals but rather to cater to investors and boost stock prices, intertwined with personal emotions [3] - Musk's contradictory statements regarding the future of AI, claiming it will surpass human intelligence in 5-6 years while also suggesting AI will retain humanity due to "curiosity," raise concerns about his vision for the future [2]

瑞银集团最新报告指出，人形机器人正加速从概念验证迈向工业应用，2026年全球需求量预计将达到3万台。 分析师Phyllis Wang在本周发布的报告中表示，随着机器人逐步具备"大脑"，其在工厂车间与仓库中执行重复性任务的能力显著提升。 尽管今年仅有少数机器人能在工业场景下自主完成简单任务，但增长势头已初步确立。 报告进一步指出，若工业现场应用取得突破，2027至2028年需求预测存在明显上行空间。头部制造商已着手产能布局，特斯拉计划建设 年产100万台Optimus机器人的产线，预计2026年底投产。 2027-28年迎来增长高峰 瑞银维持2026年全球人形机器人需求3万台的基准预测，但同时提示上行风险。若人工智能技术加速演进或客户反馈积极推动采用率提 升，乐观情境下需求可达3.5万台，极端情境下有望上看4万台。 分析师Phyllis Wang强调，一旦工业场景应用取得实质性突破，2027至2028年的需求预测将面临显著上行空间，真正的出货放量有望在 这一时期集中释放。 瑞银认为，尽管机器人智能水平与客户期望仍有差距，但制造商的产能扩张计划已释放出对市场前景的明确信心。 中国企业占据主导 特斯拉领跑产能扩张 ...