来源：环球网 【环球网科技综合报道】1月23日消息，据《商业内幕》报道，特斯拉首席执行官埃隆·马斯克表示，特 斯拉完全自动驾驶（FSD）监督版的价格将会上涨。 马斯克表示，随着特斯拉完全自动驾驶的不断改进，其订阅价格将会上涨，最终价格可能会超过 100 美 元。"无监督版真正的价值提升在于，你可以全程玩手机或睡觉。" 目前，根据特斯拉官网上的车辆信息，客户可以一次性支付8000 美元购买该系统。但从 2 月 14 日起， 此选项将不再提供。（思瀚） ...

Core Insights - Hong Kong Airlines has announced a deep AI strategic partnership with Alibaba's Fliggy and Qianwen App, marking a significant step in enhancing travel booking experiences through AI technology [1][3] - The collaboration aims to simplify the ticket booking process, allowing users to make requests in natural language and receive tailored travel recommendations, thus improving user experience and reducing decision-making costs [3] Group 1: Partnership Details - Hong Kong Airlines is one of the first airlines to integrate with the "AI ticket booking" feature on Qianwen App, providing exclusive ticket benefits through Fliggy and Qianwen [1] - The partnership not only expands sales channels but also innovates travel service models, enabling users to enjoy a more convenient travel experience with just a simple request [1][3] Group 2: AI Functionality and Future Plans - Users can now request travel options using natural language, allowing AI to understand their needs and automatically filter the best options for booking [3] - Hong Kong Airlines plans to further deepen its collaboration with Fliggy AI and Qianwen App to expand "ticket+" products and lifestyle service scenarios, promoting more interactive experiences [3] - The AI capabilities may eventually integrate with mobile assistants and smart wearable devices, enabling voice-based travel planning anytime and anywhere [3] Group 3: Company Perspectives - The business head of Hong Kong Airlines emphasized the importance of AI technology in reshaping future services, aiming for smarter and more personalized offerings [3] - The product head of Fliggy AI highlighted the transition to an "AI service era," leveraging Alibaba's model and ecosystem advantages to enhance real-world AI travel experiences [3]

据介绍，太空金属增材制造（即太空金属3D打印）被视作未来航天任务的关键赋能技术。该技术可实 现航天器零部件在轨快速制造与自主修复，大幅减少对地面补给的依赖，显著提升深空探测、空间站长 期运营及月面基地建设的任务弹性与可持续性。此次实验的成功，标志着我国在此战略性领域已达到世 界先进水平，为后续发展在轨制造与维护技术奠定了坚实基础。 本次任务同时验证了中科宇航"力鸿"系列飞行器作为低成本、高灵活微重力实验平台的能力，验证了返 回式载荷舱高可靠伞系气动减速技术、飞行器子级返回精确落点控制等技术，展现了我国在亚轨道回收 技术方面的突破。该飞行器飞行高度约120公里，目前可提供超过300秒的高品质微重力环境，并具备实 验载荷完好回收功能。未来力"鸿一号"返回式载荷舱将升级为最长留轨时间不低于1年、重复使用次数 不小于10次的轨道级太空制造航天器，适配在轨制造的高精度需求，支撑我国在轨制造及微重力物理、 空间生命科学、空间材料科学等前沿科学实验。（思瀚） 来源：环球网 【环球网科技综合报道】1月23日消息，中国科学院力学研究所宣布，近日，由力学研究所研制的微重 力激光增材制造返回式科学实验载荷，搭载中科宇航"力鸿一号" ...

Core Viewpoint - Apple is expected to soon release MacBook Pro models equipped with M5 Pro and M5 Max chips, with a significant redesign anticipated for the next generation MacBook Pro by late 2026 or 2027 [1][3] Group 1: Upcoming Releases - The new MacBook Pro models featuring M5 Pro and M5 Max chips are likely to be launched shortly [1] - The next generation MacBook Pro is projected to undergo a major redesign, expected to be unveiled by the end of 2026 or in 2027 [1][3] Group 2: Rumored Features - Six rumored new features for the upcoming MacBook Pro include OLED display, touch functionality, Dynamic Island, M6 Pro and M6 Max chips manufactured using TSMC's 2nm process, a thinner design, and built-in cellular connectivity [3] - The exact release date for the new features remains uncertain, but the possibility of a release later this year for models with OLED displays is mentioned [3]

"特斯拉已在几个城市推出了Robotaxi服务，到今年年底，这项服务将在美国非常非常普及，"他在达沃 斯世界经济论坛上表示。 来源：环球网 【环球网科技综合报道】1月23日消息，据CNBC报道，特斯拉首席执行官埃隆·马斯克表示，到 2026 年 底，他的公司将在美国建立一个"广泛"的Robotaxi网络。 外媒称，经过多年不断推迟交付承诺后，特斯拉Robotaxi终于在2025年6月于得克萨斯州奥斯汀上路， 车上配备了人类安全监督员。该公司后来在旧金山推出了由人类驾驶员操作人类驾驶员操作的共享汽车 服务。 2025年10月，马斯克宣称特斯拉到年底将在奥斯汀拥有"500辆无人驾驶出租车"。同年11月，他将这一 数字下调至约60辆。（思瀚） ...

来源：环球网 【环球网科技综合报道】1月23日消息，据MacRumors报道，自去年年底以来，苹果硬件主管约翰·特纳 斯一直在负责苹果的设计团队，此举被视为苹果在为他接任首席执行官一职做准备。 外媒称，苹果公司首席执行官蒂姆·库克在2025年最后几个月任命特纳斯负责设计团队，扩大了他的职 责范围。外媒援引内部消息人士的话称，库克计划让特努斯更多地参与公司运营。 多份报告显示，特纳斯是最有可能在库克退休后接任苹果CEO一职的人选。库克去年年满65岁，但目前 看来他并没有即将退休的计划。特纳斯年仅50岁，因此如果他最终晋升为CEO，他的任期可能会很长。 外媒表示，特纳斯被形容为性格沉稳、注重细节，并且对苹果的供应链了如指掌。但苹果内部一些人担 心他过于保守，而且个人魅力不足以领导苹果公司。（思瀚） ...

Core Viewpoint - The retail market for narrow passenger cars in January is estimated at approximately 1.8 million units, showing a month-on-month decline of 20.4% but a year-on-year increase of 0.3% [1] Group 1: Market Performance - The retail volume of new energy vehicles is expected to be around 800,000 units, with a penetration rate of approximately 44.4% [1] - The first week of January saw weak market performance with an average daily retail of 30,000 units, reflecting declines both year-on-year and month-on-month [1] - The second week showed slight recovery with average daily retail increasing to 50,000 units, with a narrowing decline [1] - By the third week, the market began to recover slowly, with average daily retail expected to reach 57,000 units due to the implementation of trade-in subsidies [1] - The fourth week is projected to see a significant increase in daily retail, potentially reaching 120,000 units, driven by completed subsidy policies and enhanced first-time purchase demand [1] Group 2: Future Projections - The passenger car market is expected to reach a new high in 2025, with total retail sales of narrow passenger cars projected at 23.745 million units [1] - Retail sales of new energy narrow passenger cars are anticipated to be 12.809 million units, representing a year-on-year growth of 17.6% [1] - The penetration rate for new energy vehicles is expected to reach 53.9% by the end of 2025 [1]

来源：央视网财经 近日，我国科学家首次从纳米尺度，原位揭示了自然界中金纳米颗粒在黄铁矿表面形成的动态过程，画 面中，黄金从一块矿石的表面，静静"生长"出来。地球上99%的黄金都被封存在地下2000多公里的地核 中。以前人们认为，地球黄金来自火山喷发、地壳运动等过程，含有黄金的岩浆上涌而被带到地球表 面，最终形成金矿。最近，我国科学家的这一项突破性发现，揭示了自然界中还存在另一种更温和 的"炼金术"，用一种常见矿石——黄铁矿也能"炼出黄金"。 这项发现，远不止是解开一个自然之谜， 它还打开一扇全新的大门：未来，我们或许能仿照这套自然的"炼金术"，开发出更精准、更环保的技 术，从传统废弃的矿石里"召唤"黄金，甚至指导我们在全球范围内寻找新的黄金宝藏。 0:00 ...

来源：科技日报 科技日报记者 刘霞 结果显示，该海洋面积大致相当于今天的地球北冰洋，可能是火星历史上最大的水体。 这一发现不仅加深了科学家对火星演化的理解，也为寻找外星生命带来新希望。 研究整合了美国国家航空航天局（NASA）火星勘测轨道飞行器、欧洲空间局"火星快车"号以及"微量 气体轨道飞行器"（ExoMars）等任务的海量数据。其中，ExoMars搭载的高分辨率彩色相机尤为关键， 能捕捉黑白图像无法分辨的地表细节，揭示矿物成分与沉积结构的细微差异。 团队表示，这些彩色影像与地形数据相结合，宛如一台"地质时间机器"，让他们得以回溯数十亿年前火 星地貌的演化过程，重建其水文历史。团队重点聚焦于"水手峡谷"——太阳系已知最长、最深的峡谷系 统，全长约4000公里，宽逾600公里，深达7公里。他们特别考察了其东南部的"科普来特斯峡谷"区域， 这里的地质构造可追溯至约33亿年前。 综合图像与地貌分析，团队识别出大量类似地球上河口三角洲与冲积扇的结构，这些正是河流携带泥沙 汇入静水（如海洋或湖泊）时形成的典型地貌。此外，他们还追踪到一条清晰的古代海岸线遗迹，并据 此估算出这片古海洋的范围。 瑞士伯尔尼大学行星地质学家 ...

Core Insights - The announcement from Beijing Zhipu Huazhang Technology Co., Ltd. highlights a significant increase in user demand for AI computing power due to the launch of the GLM-4.7 series model, indicating a temporary strain on computing resources in the AI industry [1] - The AI chip market in China is projected to exceed 1 trillion yuan by 2028, accounting for approximately 30% of the global market, emphasizing the need for high-quality, domestically controlled AI computing power to seize opportunities in the AI sector [1] Group 1: Current State of Computing Power - There is a pronounced computing power gap in China, with foreign manufacturers dominating the AI computing power market, holding nearly 70% of the market share in 2024 [2] - The self-sufficiency rate of AI GPUs in China has increased from less than 10% in 2020 to approximately 34% in 2024, with expectations to reach about 82% by 2027 [2] Group 2: Causes of Supply-Demand Imbalance - The supply of computing resources in China faces multiple constraints, including limitations on high-end chip imports and a lack of competitive performance in domestic GPU chips compared to international products [3] - The fragmentation of computing resources among service providers leads to low utilization rates, exacerbating the supply-demand imbalance [3] - The rapid deployment of AI applications across various industries has resulted in an explosive growth in computing power demand, with over 13,000 projects and more than 30,000 smart factories established nationwide [3] Group 3: Solutions to Computing Power Challenges - To address the computing power challenges, there is a need to fully leverage domestic computing resources and accelerate the development of the domestic chip supply chain [4] - Recent government initiatives aim to optimize the layout of intelligent computing power and enhance service levels to resolve supply-demand issues [4] - Improving the efficiency of computing power utilization and task completion, as well as fostering collaboration among stakeholders in the computing ecosystem, is essential for achieving a competitive edge in the global AI landscape [5]