2025年12月马斯克表示特斯拉在奥斯汀正在进行车内无安全员的Robotaxi测试，但尚未面向公众运营。 2026年1月22日特斯拉车内无安全员的Robotaxi车队开始在奥斯汀面向公众服务，目前仅从少数车辆开 始，后续数量将逐步增加，马斯克在达沃斯论坛中也表示2026年底Robotaxi服务在美国将得到非常广泛 的应用。特斯拉1月28日举办的四季度业绩会同样值得期待，或将披露最新Robotaxi运营情况及未来规 划。 Cybercab进展持续推进，马斯克披露后续硬件规划 截至2026年1月Cybercab已在美国五个州进行测试，计划4月生产，马斯克表示早期生产速度可能较慢但 最终会非常快，且预计大规模运营时每英里价格可能低于0.20美元。随着Cybercab量产在即，马斯克也 在不断披露硬件的更新情况：2026年1月17日马斯克表示AI5芯片设计几乎完成，AI6已进入早期开发阶 段，AI7/8/9设计周期目标为九个月。此外，马斯克表示AI4本身将实现远超人类的安全水平，AI4就能 实现无监督，无需额外硬件；AI5将使车辆几乎完美；AI6将用于Optimus和数据中心；AI7/Dojo3将采用 空间AI计算。 ...

智通财经APP获悉，特斯拉(TSLA.US)首席执行官埃隆·马斯克周六宣布，这家电动汽车制造商已接近完 成其第五代自动驾驶AI芯片(AI5)的设计工作，而第六代芯片(AI6)的研发亦已启动。此举标志着特斯拉 正朝着其"九个月芯片迭代周期"的目标快速推进。 马斯克的最新表态显示，特斯拉在推进自研芯片战略、降低对AI芯片龙头英伟达依赖的关键道路上进 展顺利。 "我们的AI5芯片设计已基本完成，AI6研发亦进入早期阶段。未来还将有AI7、AI8、AI9……我们的目 标是实现九个月的设计周期，"马斯克在社交媒体X上发文表示。 他更在发文中发出人才招募信号："加入我们，共同打造我认为未来将是全球量产规模最大的AI芯片!" 去年11月，马斯克曾透露，由台积电代工的AI5芯片计划于2027年进入大规模量产，旨在逐步取代特斯 拉车辆中当前搭载的AI4芯片。 而去年7月，特斯拉与三星电子签署了价值165亿美元的协议，将在美国本土生产其A16芯片。 ...

马斯克回应称："英伟达正在为汽车行业提供有用的工具，但汽车行业自身却几乎没有做出任何努力。 一位网友询问自动驾驶技术大神James Douma："对于英伟达Alpamayo自动驾驶AI的发布，特斯拉应该 感到担忧吗？" Douma回应称："不，这不会对FSD构成竞争，就像乐高发布一套太空穿梭机模型并不意味着会对'猎鹰 9 号'火箭构成竞争一样。英伟达发布了多代ADAS（高级驾驶辅助系统）开发套件及开发工具，用于 ADAS系统。这些并非真正的ADAS系统，而是用于帮助启动ADAS开发流程的工具。 如果企业能够采用这些技术，并真正着手研发ADAS系统，那对整个世界来说将是一件好事。我希望他 们能够这样做。如果他们取得巨大成功，或许能在五年内将其投入实际应用，这可能会帮助特斯拉在十 年后取代目前数量超过十亿的燃油驱动车辆。我们需要大量的具备自动驾驶能力的车辆，而特斯拉不可 能在任何合理的时间内生产出所有这些车辆。 在任何情况下，基于这一新开发工具构建产品的公司都绝不会对特斯拉的自动驾驶出租车市场机遇造成 丝毫影响。我倒是希望事情能如此简单——构建类似 FSD 的系统仍然是一项技术难度大、资源消耗高 且商业风险高的任 ...

国芯网[原:中国半导体论坛] 振兴国产半导体产业！ 不拘中国、 放眼世界 ！ 关注 世界半导体论坛 ↓ ↓ ↓ 12月11日消息，据韩媒报道，三星正在加快其在美国生产 特斯拉 AI5芯片的准备工作，近期已为其客户工程团队招募了一批经验丰富的工程师。该团队 将协助解决复杂的晶圆代工难题，稳定生产良率，并确保这一新项目的制造流程顺利推进。 此次大规模招聘表明，特斯拉的 AI5 项目在三星内部正快速推进。此前，三星与台积电共同赢得了特斯拉的芯片订单，成为 AI5 芯片的两家指定供应商 之一。 据报道，台积电将采用其 3 纳米制程技术生产 AI5 芯片，而三星则计划以 2 纳米制程进行试产，以此作为对其先进工艺能力的一次关键验证。 特斯拉首席执行官马斯克近日解释称，两家代工厂生产的芯片存在差异，是因为"它们将设计转化为实体形式的方式不同"。尽管如此，特斯拉的目标是让 两种版本的芯片在功能上完全一致，这无疑是一项重大挑战。这一情况令人联想到当年苹果 A9 芯片的"芯片门"事件，当时因由不同厂商代工，导致芯片 性能出现差异。 据了解，AI5 芯片是特斯拉为其自动驾驶系统开发的下一代专用硬件，同时也将用于 Optimus ...

特斯拉首席执行官埃隆・马斯克（Elon Musk）近日解释称，两家代工厂生产的芯片存在差异，是因为"它们将设计转化为实体形式的方式不同"。尽管如 此，特斯拉的目标是让两种版本的芯片在功能上完全一致，这无疑是一项重大挑战。这一情况令人联想到当年苹果 A9 芯片的"芯片门"事件，当时因由不同 厂商代工，导致芯片性能出现差异。 据IT之家了解，AI5 芯片是特斯拉为其自动驾驶系统开发的下一代专用硬件，同时也将用于 Optimus 人形机器人项目，以及车辆和其他产品中的各类人工智 能驱动功能。目前，特斯拉车辆搭载的是 AI4 芯片（此前称为 HW4 或 Hardware 4）。 IT之家 12 月 11 日消息，特斯拉供应商三星正筹备量产 AI5 芯片，此举将进一步推动该公司在自动驾驶领域的发展。 据韩媒 Sedaily 最新报道，三星正在加快其在美国生产 AI5 芯片的准备工作，近期已为其客户工程团队（Customer Engineering team）招募了一批经验丰富的 工程师。该团队将协助解决复杂的晶圆代工难题，稳定生产良率，并确保这一新项目的制造流程顺利推进。 此次大规模招聘表明，特斯拉的 AI5 项目在三 ...

Core Insights - Tesla's CEO Elon Musk announced a bold goal to produce a new AI chip every 12 months, aiming for a total output that surpasses all other AI chip manufacturers combined [3] - This strategic move signifies Tesla's enhanced investment in smart hardware, which will significantly impact the development of autonomous driving and humanoid robots [3] - The company has established a clear iterative roadmap for its AI chips, with AI4 already integrated into vehicles, AI5 nearing production, and AI6 in the research phase [3] Group 1: Strategic Implications - Musk's direct involvement in chip design reflects Tesla's strategy to build a comprehensive technological moat, recognizing that in-house chip development is crucial for overcoming technological bottlenecks [3] - Relying on third-party chips poses supply constraints and hinders deep integration with the Full Self-Driving (FSD) system and robot control algorithms [3] - Tesla's unique technological advantage stems from integrating autonomous driving hardware, battery systems, and AI infrastructure, with ongoing chip iterations further strengthening this barrier [3] Group 2: Technical Advancements - The upcoming AI5 chip, manufactured using TSMC's 3nm N3P process, boasts a computing power of 2000-2500 TOPS, a fivefold increase over the current AI4, with a 40% reduction in error rates [4] - Designed for end-to-end neural network models, the AI5 chip can process data from 12 high-definition cameras, enabling real-time decision-making for complex driving scenarios [4] - The AI5 chip's power consumption is optimized to 250 watts, crucial for the performance of the "Optimus" humanoid robot [4] Group 3: Application Scenarios - The advancements in AI chip technology will support Tesla's plans for L4-level autonomous driving commercialization, with a pilot program for unregulated Robotaxi services set to launch in Austin, Texas, in June 2025 [5] - The AI chip's computational capabilities will enable the operation of a 100 billion parameter neural network for the "Optimus" humanoid robot, achieving precision of 0.01 millimeters for tasks like factory quality inspection [5] - Tesla's chip technology allows for cross-domain applications, with electric vehicle components being utilized in robot development, significantly reducing production costs and laying the groundwork for large-scale implementation [5]

（文章来源：每日经济新闻） 每经AI快讯，当地时间11月23日，马斯克在社交媒体平台X发文称，"目前特斯拉汽车上使用的版本是 AI4芯片，我们即将完成AI5的流片，并已开始着手研发AI6"，目标是每12个月就将一款新的人工智能 芯片投入量产。 ...

Core Insights - Elon Musk predicts that by 2030, the overall capabilities of AI may surpass that of all humanity combined [3][57] - Musk's company xAI is rapidly developing its AI model Grok, which has undergone multiple iterations in a short time frame, showcasing a unique approach to AI development [4][6][10] Development of Grok - Grok was launched in November 2023 as an early testing version on the X platform [5] - The xAI team quickly upgraded Grok to version 1.5 in Spring 2024, enhancing reasoning capabilities and increasing context length to 128k tokens [6] - Grok-1.5V, which includes visual understanding capabilities, was announced in April 2024, allowing it to process multimodal information [7] - Grok-2 was introduced in August 2024, featuring significant performance improvements and new skills like image generation [8] - Grok-3, released in February 2025, focuses on complex reasoning and advanced problem-solving [9] - The latest version, Grok-4, is claimed to be among the industry's best in terms of comprehensive intelligence [10] Team and Philosophy - xAI has attracted top talent from companies like DeepMind and OpenAI, aiming to "deeply understand the truth of the universe" [12] - Grok is designed to be an alternative AI that is "truthful and humorous," inspired by the sci-fi classic "The Hitchhiker's Guide to the Galaxy" [13][14] - The goal is to pursue truth to the greatest extent, utilizing AI to generate synthetic data for knowledge reconstruction rather than relying on potentially biased internet data [19] Resource Integration - Musk leverages the vast real-time data from the X platform to enhance Grok's learning and response capabilities [20][21] - xAI has developed advanced search skills to dig deeper into X's internal information, improving the timeliness and accuracy of responses [23] - The integration of Tesla's computing power and chip technology supports xAI's AI development, with the upcoming AI5 chip expected to enhance performance significantly [25][31] Infrastructure and Computing Power - The Colossus supercomputing center, built in a record 122 days, provides substantial computational resources for training Grok [26][28] - The center's GPU cluster has reached nearly 1 quintillion operations per second, positioning xAI as a formidable player in hardware investment [36] Competitive Positioning - Musk believes xAI will soon surpass all companies except Google in the AGI race, driven by rapid infrastructure expansion and model iteration speed [36] - xAI's approach contrasts with competitors by promoting a more open and less politically correct AI, appealing to users dissatisfied with stricter AI models [38][41] Ethical Considerations - Musk acknowledges the potential risks of a more open AI, as Grok has faced controversies regarding its content [44][46] - xAI aims to balance the pursuit of truth with safety measures to prevent harmful outputs, reflecting a commitment to responsible AI development [47] Open Source Strategy - xAI has begun to open source its models, starting with Grok-2.5, to promote transparency and community involvement [50][53] - The open-source approach is limited by a custom "community license agreement," preventing direct commercial exploitation by competitors [52] Global Perspective - Musk recognizes the rapid advancements in AI from companies in China, highlighting the competitive landscape beyond the U.S. [56] - He views AI as a crucial component for enhancing human intelligence and believes that AGI could be essential for maintaining progress in civilization [57]

Core Insights - Tesla's CEO Elon Musk announced the need for a large semiconductor fabrication plant to meet the growing computational demands of autonomous driving and robotics, indicating potential collaboration with Intel [2] - The production of Tesla's AI5 chips will be shared between TSMC and Samsung, marking a significant development for Samsung's foundry business [3][4] - The decision to allocate AI5 chip orders to both TSMC and Samsung is seen as a strategic move to ensure sufficient supply amid increasing competition in the AI infrastructure sector [5] Group 1: Tesla's Semiconductor Strategy - Musk emphasized that relying solely on external suppliers is insufficient for the long-term development of Tesla's AI and autonomous driving technologies, necessitating the construction of an "ultra-large wafer factory" [2] - Tesla is currently heavily investing in chip research and development, with Musk expressing a strong interest in chip technology [2] - The collaboration with Intel is still in discussion, with no contracts signed yet, but it is deemed necessary for future chip supply [2] Group 2: Samsung's Foundry Business - The production of AI5 chips by both TSMC and Samsung signifies a revival of Samsung's foundry technology, which had faced challenges with yield and performance issues [3][4] - Samsung's shift in focus from speed to technology improvement has led to an increase in the yield of its 2nm process to 55%-60%, with plans to reach 70% by year-end [4] - The partnership with Tesla is expected to help Samsung utilize its idle wafer production capacity, especially as TSMC is currently overwhelmed with orders [5] Group 3: Market Dynamics - The semiconductor industry is experiencing a race to invest in AI infrastructure, with TSMC and Samsung being the only reliable suppliers capable of producing chips below 3nm [4] - The recent price hikes by TSMC may benefit Samsung, as companies like Qualcomm are considering Samsung as an alternative for wafer fabrication [5] - Tesla's strategy to secure AI chip supply is crucial as the demand for AI capabilities continues to rise across various sectors [5]

Group 1 - Tesla's CEO Elon Musk announced that Samsung Electronics will participate in the production of Tesla's self-developed AI chip "AI5," alongside TSMC, correcting previous reports that suggested TSMC would be the sole producer [1][2] - The AI5 chip is expected to enter mass production by the end of 2026, targeting a performance of 25 trillion operations per second (TOPS), while the AI6 chip is planned for release between 2027 and 2028, aiming for a performance of 50 to 60 trillion operations per second [2] - Musk emphasized the goal of ensuring an oversupply of AI5 chips, stating that any excess could be utilized in data centers, and clarified that Tesla's needs differ from Nvidia's broader customer base [3]