Core Viewpoint - The Paris Judicial Court has ruled against the French Advertising Industry Association's request to suspend Apple's App Tracking Transparency (ATT) feature, allowing it to continue operating legally in France, marking a significant victory for Apple in the legal dispute over user data control [1][3]. Group 1: App Tracking Transparency (ATT) Feature - The ATT feature was introduced by Apple in April 2021 as a core privacy protection mechanism, requiring apps to obtain explicit user consent before tracking their activities across apps or websites [1]. - Users can choose "Ask App Not to Track," which prevents apps from accessing the device's advertising identifier (IDFA), thereby enhancing user data security [1]. - Apple emphasizes that the primary goal of the ATT feature is to provide users with clear control over their personal data, setting privacy standards higher than industry norms [1]. Group 2: Legal and Regulatory Context - The French Competition Authority previously fined Apple €150 million for allegedly abusing its market position through the ATT feature [3]. - The advertising industry has expressed dissatisfaction with the ATT feature, claiming it has disrupted the traditional mobile advertising business model and led to a significant drop in user consent for tracking, resulting in reduced revenues for publishers and ad platforms [3]. - The French Advertising and Digital Trade Association filed a lawsuit claiming the ATT feature is anti-competitive and that Apple applies a "double standard" by not imposing the same restrictions on its own applications [3]. Group 3: Court Ruling and Industry Response - The court found that the advertising industry's claims regarding the ATT feature harming their business lacked sufficient evidence to support the request for suspension, leading to the dismissal of the lawsuit [3]. - Apple welcomed the court's ruling, stating that the advertising industry's accusations are "baseless" [3]. - The ATT feature has received widespread recognition and adoption from users globally, as well as high praise from privacy advocates and data protection regulators in multiple countries, including France [3].

Core Viewpoint - The UK Parliament's Treasury Committee warns that the country's financial regulatory system is lagging in addressing AI risks, which could lead to serious harm to public interest and the economy if a wait-and-see approach continues [1][4]. Group 1: Current AI Application in Financial Services - Over three-quarters of financial services firms in the UK have implemented AI in key business areas such as investment strategy formulation, administrative process automation, and insurance claims processing [4]. - While AI technology provides convenience to consumers, it also creates new financial stability risks due to the high dependency of financial institutions on AI systems and cloud service providers, which amplifies systemic risks [4]. Group 2: Recent Incidents Highlighting Risks - A significant outage of Amazon Web Services in October this year disrupted operations for several companies, including Lloyds Banking Group, underscoring the real threats posed by reliance on cloud services [4]. - Experts warn that AI-driven trading strategies may exacerbate market uniformity and volatility, while also increasing cybersecurity exposure, posing multiple challenges to the stability of the financial system [4]. Group 3: Regulatory Recommendations - The Treasury Committee has proposed several recommendations, including the need for the Financial Conduct Authority to issue clear guidelines by the end of this year to define the boundaries of AI use in the financial sector and clarify responsibilities [4]. - It is recommended to include key cloud service providers like Amazon Web Services and Google Cloud within the regulatory framework to enhance risk management of cloud infrastructure [4]. - The committee urges the prompt initiation of specialized market stress tests for AI to identify potential risk points in advance [4]. Group 4: Government and Regulatory Response - A spokesperson for the UK Treasury stated that the government aims to harness the potential of AI technology while effectively managing its risks [5]. - Both the Bank of England and the Financial Conduct Authority welcomed the Treasury Committee's recommendations and expressed commitment to studying and implementing them [5].

Core Viewpoint - The recent public dispute between Tesla CEO Elon Musk and OpenAI CEO Sam Altman over product safety has drawn significant industry attention, highlighting concerns regarding the safety of both ChatGPT and Tesla's Autopilot technology [1][3]. Group 1: Product Safety Concerns - Musk raised concerns about ChatGPT's safety, citing that since its release in 2022, there have been nine reported deaths associated with its use, urging people not to let loved ones use the chatbot [1]. - Altman defended OpenAI's commitment to product safety, acknowledging the challenge of balancing user protection with normal tool usage, and emphasized that OpenAI prioritizes safety measures [3]. Group 2: Mutual Accusations - In response to Musk's claims, Altman criticized Tesla's Autopilot, stating that over 50 deaths have occurred in accidents related to the technology, and he personally found it unsafe during his experience in a vehicle equipped with the system [3]. - Altman implied that Musk's accusations against OpenAI reflect his own issues, suggesting that Musk's criticisms are a form of self-incrimination [3]. Group 3: Legal Disputes - The public confrontation is not isolated, as Musk has initiated legal action against Altman and other OpenAI leaders, accusing them of misleading behavior during the organization's transition to a profit-driven model, which he claims deviates from its original non-profit mission [3]. - Musk had previously donated $38 million to support OpenAI's development during its early stages [3].

Core Insights - DeepSeek plans to launch its next-generation flagship AI model, DeepSeek V4, around mid-February during the Lunar New Year, which is expected to significantly enhance coding capabilities and attract industry attention [1][2] Group 1: Model Development - The release of DeepSeek V4 follows the one-year anniversary of the DeepSeek-R1 model, with developers discovering updates related to FlashMLA in 114 files, including 28 references to an unknown "MODEL1" identifier, likely indicating a new AI model with a different architecture [1][2] - The new architecture optimizes key technical aspects such as key-value (KV) cache layout, sparsity handling, and FP8 data format decoding support, addressing memory usage and computational efficiency issues, thereby laying the groundwork for performance improvements [3] Group 2: Research Innovations - DeepSeek's research team has previously published two technical papers introducing innovative training methods like "optimized residual connections (mHC)" and a biologically inspired "AI memory module (Engram)," suggesting that DeepSeek V4 may integrate these latest research findings to enhance its capabilities in handling complex tasks [3]

突破清晰与精准的边界 拉斯维加斯2026年1月20日 /美通社/ -- 随着拉斯维加斯展会的势头持续升温，由ApexVision点燃的"超清 晰时代"正从美国席卷全球。红外热成像领军企业高德智感，将这种"所见即所得"的智能红外成像技 术，全面引入户外热成像观测领域，开启"超清晰"视觉新纪元。 探秘热成像技术突破：何谓ApexVision？ "Apex"（顶点）与"Vision"（视觉）结合，其名已昭示了高德智感对极致的视觉性能的追求。立足于数 代热成像技术积淀，ApexVision以无与伦比的性能、效率与稳定性，定义了"超清晰"的全新篇章。它从 从底层重构红外成像，通过全新的探测器、处理平台与算法，交付全时段、全天候、全环境的超清晰、 无拖影热成像体验。 三大核心技术，重构"超清晰"基准 来源：美通社 搭载ApexVision的观测光学设备（包括单目、双目及夹式瞄具），专为户外爱好者、巡护员及搜救人员 设计，适用于户外观察、野外探险、执法、搜救等多种专业场景。在恶劣天气或低能见度环境下观察追 踪时，它们能帮助用户轻松识别雾、雨、霾及杂乱背景中的目标。即便在高倍变焦下，图像仍能保持轮 廓边缘锐利、毛发纹理清晰可 ...

Core Viewpoint - The Shanghai financial sector has introduced a significant policy initiative aimed at enhancing the market capabilities of non-ferrous metal commodities and increasing their global pricing influence through a comprehensive action plan consisting of 18 specific measures [1]. Group 1: Market Integration and Infrastructure - The action plan emphasizes "spot-futures linkage" and focuses on the interconnection of non-ferrous metal futures, spot, and derivative markets [2]. - It supports deep cooperation between the Shanghai Clearing House and the Shanghai Futures Exchange in clearing and risk management, promoting the application of "bulk commodity clearing" to improve transaction efficiency and security [2]. - The plan aims to enhance the breadth of services in the futures market by developing new products that cater to the needs of emerging industries such as new energy and new materials [2]. Group 2: Market Participation and Risk Management - The policy encourages various non-ferrous metal application enterprises, including those in automotive, construction, and home appliance manufacturing, to actively participate in futures and OTC derivative markets [2]. - It advocates for state-owned enterprises to use options to hedge risks and promotes a pricing model based on "futures price + premium" in trade settlements [2]. - These measures aim to break down barriers between the real economy and financial markets, allowing upstream and downstream enterprises in the supply chain to benefit from financial services [2]. Group 3: Internationalization and Pricing Influence - The plan seeks to enhance the internationalization of the market and increase the influence of "Shanghai prices" by expanding the high-level institutional opening of the futures market [3]. - It introduces an innovative "overseas warehousing and cross-border delivery" business model, allowing more non-ferrous metal varieties to be registered for delivery by foreign enterprises [4]. - This shift signifies a transition from "bringing in" to "going out," enabling "Shanghai prices" to reflect not only domestic supply and demand but also impact global trade [4]. Group 4: Market Ecosystem and Technological Integration - The action plan includes fostering a market ecosystem by cultivating trade leaders with supply chain service capabilities and exploring the establishment of a market maker system for OTC derivatives [4]. - It emphasizes the application of blockchain technology in the non-ferrous metal sector to promote cross-platform data sharing and establish corporate credit archives [4]. - The plan also aims to enhance the functionality of the national bulk commodity warehouse receipt registration center and explore legal enhancements for warehouse receipts to address issues related to rights confirmation and financing [4]. Group 5: Expert Evaluation and Strategic Implications - Analysts have praised the action plan for its depth and breadth, particularly highlighting the significance of "cross-border delivery" and "warehouse receipt legislation" in addressing industry pain points [4]. - The exploration of "overseas warehousing" is expected to significantly enhance the international representativeness of Chinese futures prices, attracting more foreign capital [4]. - The application of blockchain technology and the exploration of warehouse receipt legislation are seen as milestone developments in resolving trust issues in bulk commodity trade, potentially lowering risk management costs for financial institutions [5].

来源：半岛都市报 "一夜之间一条项链涨了近2万，有的顾客本来不舍得买，一听要涨价立马拿下，该咋说呢，挣两万不那 么好挣，但省两万比较好省。" 据新华社消息，国际黄金期货价格和现货价格20日均再创新高，一度突破每盎司4800美元。 多家品牌金饰价已逼近1500元。其中，周生生足金饰品报1495元/克，较1月20日1454元/克涨41元/克 。 老凤祥足金饰品报1498元/克，较1月20日1456元/克涨42元/克 。老庙黄金足金饰品1493元/克，较1月20 日1455元/克涨38元/克 。 刚刚 来自 iPhone客户端 十关注 买黄金是我今年做的最正确的事 不管买了多少 1月20日，记者走访青岛某金店，店员正忙着换价签，"80%的产品都要换"。 PACS 4 4 8.20 The Car 100 7 riller a 19:4 201 Page 124 el t and #1680 = A B ST P Andy 8 12 0 199 gets T n A 45 *2G337 PARCOS Carane - 41680 - 4 6 t e the 1052 DIOBELT el t ATTICAL 280 ...

Group 1 - The core point of the news is that spot gold prices have surged, reaching a new historical high of $4829.700 per ounce, with a 1.40% increase [1][2] - COMEX gold futures also saw an increase of nearly 1%, trading at $4810.3 per ounce [1][2] - Year-to-date, spot gold has risen over 11% [2] Group 2 - Domestic gold jewelry prices are on the rise, with multiple brands reporting prices above 1490 yuan per gram, marking a recent high [3] - Specific prices include Chow Sang Sang at 1495 yuan per gram, up 41 yuan; Lao Feng Xiang at 1498 yuan per gram, up 42 yuan; and Lao Miao Gold at 1493 yuan per gram, up 38 yuan [3] Group 3 - The recent surge in gold prices is attributed to heightened geopolitical risks related to Greenland, which has driven safe-haven demand for gold [9] - The significant rise in silver prices since December has also contributed to the upward movement in gold, with the gold-silver ratio dropping to around 50, a low not seen in 14 years [9] - Market analysts suggest that if geopolitical tensions ease, gold prices may face downward pressure, advising profit protection through strategic selling [8][9]

Core Viewpoint - Nvidia is facing a significant copyright class-action lawsuit from multiple authors, accusing the company of intentionally obtaining vast amounts of pirated data from various "shadow libraries" to train its AI models, with the involved data size reaching 500TB and containing millions of copyrighted books [1][3]. Group 1: Legal Allegations - The lawsuit claims that Nvidia used the Books3 dataset, which includes pirated works, for training its AI models, despite Nvidia's defense arguing that this usage falls under "fair use" [3]. - New evidence revealed in the lawsuit indicates that Nvidia's data strategy team sought to acquire millions of pirated materials from the "Anna Archive," a controversial shadow library, and proceeded with the collaboration despite knowing the data's illegal status [3][4]. - The lawsuit has expanded to include claims of contributory and vicarious infringement, asserting that Nvidia facilitated the acquisition of pirated datasets for its clients [4]. Group 2: Company Operations and Market Impact - Nvidia has been a key beneficiary in the AI boom, with its revenue significantly increasing due to the demand for AI training chips and data center services [1]. - The company has actively developed its own AI models, such as NeMo and Retro-48B, which rely on extensive text data for training, raising questions about the legality of its data sourcing methods [1]. - The ongoing legal issues with the "Anna Archive" and other platforms like LibGen, Sci-Hub, and Z-Library have heightened public scrutiny of Nvidia's data acquisition practices [4].

Group 1 - The core viewpoint is that energy costs will be a critical factor determining the success of countries in the artificial intelligence (AI) race, with AI infrastructure development closely linked to energy costs [1][3] - Microsoft has announced a significant investment of $80 billion in AI data center construction, with 50% of the spending allocated to regions outside the United States [3] - Nadella emphasizes that the development of AI must consider social value, as the inability of tokens to improve healthcare, education, and public sector efficiency could lead to a loss of social license to use scarce energy resources for token generation [3] Group 2 - Nadella suggests that Europe, facing high energy costs exacerbated by the Russia-Ukraine conflict, needs a more global perspective to succeed in the AI era [4] - The competitiveness of European products in the global market, rather than just within Europe, is essential for the region's economic revival [4] - Nadella criticizes the focus on "sovereignty" in discussions, advocating for broader market access for local industrial and financial services to enhance competitiveness [4]