长安汽车官方消息称，12月20日，首块L3级自动驾驶专用正式号牌"渝AD0001Z"在重庆诞生，由重庆市公安局交通管理总队正式授予长安汽车，标志着 长安汽车开启L3级自动驾驶时代。 ...

当然，哈塞特和特朗普的观点在当下并不被大多数美联储官员和经济学家接纳。许多美联储官员仍在担 心美国物价压力仍过高，甚至有些官员反对进一步降息，因为持续存在的高物价压力以及对特朗普关税 政策可能推高物价的担忧仍未消除。 特朗普显然并不受这些反对声音的影响，反而一再声称美国的通货膨胀已不再是令人担忧的问题，并且 一直在极力推动降息。上周三，他还在公开讲话中吹嘘称："我正在降低那些高昂的物价，而且速度很 快。" 12月21日，美东时间周五（12月19日），白宫经济顾问凯文·哈塞特公开表示，美国总统特朗普称美国 通胀水平较低的观点是正确的，尽管数据、公众舆论以及大多数经济学家都对此观点持不同看法。 美联储现任主席鲍威尔的任期即将于明年5月结束，而哈塞特就是目前最有望成为下届美联储主席的热 门人选之一。在特朗普可能即将公布他对下任美联储主席的提名人选之际，哈塞特的表态可能将着重表 明，他与特朗普在货币政策问题上持相同的宽松立场。 美国通胀实际已低于美联储目标？ 就在上周四，美国政府报告称，美国11月消费者价格指数（CPI）较上年同期上涨2.7%，尽管这一数字 低于9月份报告的3%，也低于市场预期，但也仍然高于美联储2% ...

Core Insights - The company unveiled its next-generation GPU architecture "Huagang" at the first MUSA Developer Conference (MDC2025) in Beijing, showcasing advancements in AI training clusters and various technologies [1][2] - The new architecture supports full precision computing from FP4 to FP64, with a 50% increase in computing density and a 10x improvement in energy efficiency [1] - The company plans to launch the "Huashan" chip focused on AI training and inference, and the "Lushan" chip aimed at graphics rendering [1] Architecture and Performance - The "Huagang" architecture enhances training cluster capabilities with the "Kua'e" 10,000-card intelligent computing cluster, achieving 60% training utilization on dense models and 40% on mixture of experts models, with a linear scaling efficiency of 95% [1] - In inference, the company collaborated with Silicon-based Flow to achieve a single card Prefill throughput exceeding 4000 tokens/s and Decode throughput over 1000 tokens/s on the DeepSeek R1671B model [1] Software Ecosystem - The MUSA 5.0 version optimizes programming models, computing libraries, and compilers, with core computing library muDNN's GEMM and FlashAttention efficiency exceeding 98% and communication efficiency reaching 97% [1] - The company plans to gradually open-source some core components, including computing acceleration libraries and system management frameworks [1] Graphics and AI Integration - The new architecture integrates hardware ray tracing acceleration engines and supports self-developed AI generative rendering technology [2] - The company introduced the MTLambda simulation training platform and the MTT AIBOOK based on the "Yangtze" SoC, focusing on cutting-edge fields like embodied intelligence and AI for Science [2] Future Infrastructure - The company announced the MTTC256 super-node architecture design for next-generation large-scale intelligent computing centers, emphasizing high-density hardware and energy efficiency optimization [2] - The comprehensive technology layout from chip architecture to cluster infrastructure and edge devices aims to support the development of the domestic AI computing ecosystem [2] - Industry experts believe the company is positioning itself to compete directly with Nvidia by releasing its architecture early to boost confidence in its software ecosystem [2]

Group 1 - The core strategy of Toutiao for 2025 is centered around "quality depth" content, aiming to promote rational thinking and public dialogue while increasing investment in high-quality content [2][4] - In the past year, the reading volume of quality deep articles on the platform has increased nearly threefold, and the income of related creators has also seen overall growth [2] - The platform has optimized its distribution mechanism to enhance content matching efficiency, creating a distribution chain where articles seek readers, and establishing an independent traffic pool to support the cold start of deep content [3] Group 2 - The company has launched three support initiatives: "Special Creation Fund," "Deep One Studio," and "Fire Plan," aimed at supporting the creation and dissemination of deep graphic content [1] - The conference featured discussions on the theme of creating "slow" content in a fast-paced era, with participation from various media figures and creators sharing their experiences [3] - The company plans to continue investing in and collaborating with creators to promote the construction of a deep content ecosystem [4]

据现场信息，当晚演唱会中，6台宇树科技G1人形机器人在歌曲《火力全开》中亮相。伴随电子节奏响 起，机器人与人类舞者保持高度同步，完成挥臂、踢腿、转身等连续舞蹈动作，并在高潮段落集体完成 空翻，落地稳定，成为演唱会最受关注的瞬间之一。 特斯拉CEO埃隆·马斯克在社交平台转发一段中国演唱会视频，并配文评价"令人印象深刻！"，相关画 面迅速引发海外科技圈关注。视频内容显示，在18日王力宏"最好的地方"巡回演唱会成都站现场，多台 人形机器人登台与歌手及舞者同台表演，完成了整齐度和难度兼具的舞蹈动作。 从技术层面看，宇树人形机器人G1具备17个以上自由度，动作响应速度达到毫秒级，并通过动态平衡 控制系统支撑高强度舞台动作。在多机协同方面，团队通过多智能体控制技术，实现多台机器人在舞台 环境下的同步表演。同时，机器人具备基础环境感知能力，可在复杂灯光和人员密集场景中规避碰撞风 险。 知情人士透露，为完成此次演出，技术团队与演出方进行了较长周期的排练和调试，对舞蹈动作、节奏 匹配及舞台安全进行了反复验证。这也使得人形机器人首次以"群体舞蹈"的形式，完整融入商业演唱会 流程，而非单点展示。 演出结束后，"机器人伴舞""宇树G ...

数据统计，从2011年上市至今，三七互娱累计分红27次，累计现金分红总额超过115亿元。三七互娱12 月11日公告称，公司全资子公司安徽泰运拟向帝奥微湖杉（嘉兴）股权投资合伙企业（有限合伙）进行 投资，出资额不超过5000万元。帝奥微湖杉基金目标认缴总规模为3亿元，但不超过4亿元，最终以实际 募集情况为准。本次投资帝奥微湖杉基金后，帝奥微湖杉基金将投资于AI产业链相关企业。 数据统计，从2016年上市至今，玲珑轮胎累计分红15次，累计现金分红总额超过36.91亿元。玲珑轮胎 12月11日发布2025年第三季度权益分派实施公告，本次利润分配以方案实施前的公司总股本14.64亿股 为基数，每股派发现金红利0.065元（含税），共计派发现金红利9512.77万元。 | 证券简称 | 分红总额 | 分红次数 | Wind行业 | | --- | --- | --- | --- | | | (亿元) | | | | 三七互娱 | 13. 86 | 3 | 传媒 | | 玲珑轮胎 | 3.59 | 3 | 汽车与零配件 | | 迈瑞医疗 | 49. 35 | 3 | 医疗设备与服务 | | 御银股份 | 0. 05 | ...

Core Viewpoint - The Delaware Supreme Court ruled that Elon Musk's 2018 compensation plan must be reinstated, stating that the lower court's decision to cancel it was too extreme and did not allow Tesla to explain what constitutes fair compensation [1] Group 1: Court Ruling - The Delaware Supreme Court overturned the lower court's decision, awarding symbolic damages of $1 to Musk [1] - The court emphasized that the cancellation of the compensation plan was inappropriate and unfair to Musk, who had not been compensated for his efforts over six years [1] Group 2: Compensation Plan Details - The 2018 compensation agreement allowed Musk to purchase approximately 304 million shares of Tesla stock at a significantly discounted price, contingent on the company achieving several milestone goals [2] - These stock options represent about 9% of Tesla's outstanding shares, and if fully exercised, Musk's ownership stake would increase from approximately 12.4% to about 18.1% post-expansion [2] Group 3: Financial Implications - Following the reinstatement of the 2018 compensation plan, Musk's net worth is currently estimated at $749 billion according to Forbes' real-time billionaire tracker [3] - In November, Tesla shareholders approved a larger CEO compensation plan, which could potentially reward Musk with up to $1 trillion if he meets ambitious revenue and product goals over the next decade [3]

Core Insights - The article emphasizes the shift in the AI computing industry from chaotic competition to collaborative ecosystems, as highlighted by the "refusal of internal competition" advocated by the director of the National Advanced Computing Industry Innovation Center, Li Jun [2][3] - This transition is crucial as AI becomes a central battleground in global technological competition, addressing the urgent need for self-controlled computing power ecosystems [2][3] Industry Challenges - AI computing power demand is increasing at an annual rate of over 40%, yet the industry faces severe internal competition characterized by long supply chains and homogenized competition among companies [2][3] - Many companies pursue a "large and comprehensive" approach but struggle to achieve excellence, leading to a distorted bidding environment where "the more one loses, the more likely they are to win" [2][3] Structural Issues - The internal competition stems from structural contradictions in the global computing power landscape, where the urgent need for self-controlled computing power is hindered by incompatibility among different vendors' chips and systems [3] - Small and medium enterprises face barriers to entry in AI projects due to high costs and equipment incompatibility, necessitating a unified interface standard and collaboration mechanisms [3] Proposed Solutions - Li Jun proposed five measures to support partner growth, focusing on collaboration among core enterprises and manufacturers to develop high-end processors and a full-stack product matrix [3][4] - The measures include building joint laboratories, sharing resources, and enhancing market access through regional AI innovation centers, creating a closed-loop ecosystem from technology development to market implementation [3][4] Early Achievements - The HAIC2025 conference showcased over 50 innovative results from the cooperative ecosystem, demonstrating the collaborative innovation capabilities of the open ecosystem [4] - Companies like Yike and Haiguang have successfully explored new markets through deep collaboration, validating the commercial value of division of labor [4] Ecosystem Value - The organization has over 6,000 partners and 28 physical ecosystem adaptation centers, creating a closed-loop industry ecosystem centered on self-control [5] - This ecosystem allows each enterprise to find precise positioning, fostering a positive cycle of core technology breakthroughs and industry scale [5] Strategic Shift - The exploration by the organization represents a reconstruction of the AI computing industry's development model, advocating for resource sharing and collaborative mechanisms to enable domestic computing power to iterate and optimize in real scenarios [6] - The call for a shift from "zero-sum competition" to "positive-sum competition" is essential for building a robust foundation for computing power in the AI industry [6]

Core Insights - The first MUSA Developer Conference showcased the launch of the new GPU architecture "Huagang" by Moore Threads, along with AI training and inference chip "Huashan" and high-performance graphics rendering chip "Lushan" [1][4][5][7] - Moore Threads introduced the "Kua'e" supercomputing cluster, featuring the self-developed "Yangtze" intelligent SoC chip, aimed at enhancing AI computing capabilities [1][9] Group 1: New GPU Architecture and Chips - The "Huagang" GPU architecture features a 50% increase in computing density and supports full precision end-to-end calculations from FP4 to FP64, with new asynchronous programming models and MTLink high-speed interconnect technology for scaling over 100,000 cards [4][14] - The "Huashan" chip focuses on AI training and inference, integrating new asynchronous programming and full precision tensor computing units, supporting large-scale intelligent computing clusters [5] - The "Lushan" chip specializes in high-performance graphics rendering, achieving a 64x increase in AI computing performance, 16x in geometric processing, and 50x in ray tracing performance, catering to AAA games and high-end graphics creation [7] Group 2: Collaborations and Ecosystem Development - Several companies listed on the Sci-Tech Innovation Board, including Dahong Technology and Zhongwang Software, are collaborating with Moore Threads to leverage its GPU for high-performance needs such as ultra-high-definition live streaming and offline video enhancement [3] - The MUSA software architecture has been upgraded to version 5.0, enhancing compatibility with programming languages like TileLang and Triton, and achieving over 98% efficiency in core computing libraries [12] Group 3: Industry Challenges and Future Directions - The need for a unified or highly compatible interface standard for domestic GPU chips is emphasized to avoid fragmentation and inefficiencies in the software ecosystem [13] - The transition from "usable" to "willing to use" domestic GPU platforms hinges on improving developer experience and reducing migration costs [12] - The engineering challenges of building large-scale systems without proprietary interconnects are highlighted, with a focus on achieving reliable low-latency communication and operational efficiency [14]

整个12月都在揣测年末"圣诞老人行情"是否会如期而至的美股交易员们，如今或许终于等来了他们期盼 已久的"转机"。 标普500指数周四上涨0.8%，终结了连续四日下跌的走势，周五又以一波类似的涨幅报收。至此，今年 美股最后一个完整的交易周宣告结束。 尽管市场对人工智能板块的长期担忧持续存在，估值水平仍显偏高，但强劲的经济表现和企业盈利前景 正支撑着投资者信心。据Susquehanna International Group观察，交易员正抢购芯片制造商和科技巨头 的看涨期权，散户群体对美股的追捧热度不减。 高盛集团交易团队在致客户报告中指出："除非遭遇重大冲击，否则当前强劲的季节性行情与更清晰的 仓位布局将难以逆转。" 该团队成员Gail Hafif表示， "虽然我们不认为会出现剧烈反弹，但认为从当前水平到年底仍有上涨空 间。" 周四美股最初的反弹，源于一份低于预期(尽管存在争议)的通胀报告增强了明年进一步降息的预期。科 技股领涨大盘，彭博七巨头指数大涨2%，纳斯达克100指数在连续五日震荡后攀升1.5%。而周五在美 而若以历史为鉴，美股似乎有望继续攀升：据城堡证券统计，自1928年以来，标普500指数在12月最 ...