Core Viewpoint - Microsoft is facing an unprecedented issue with a surplus of GPUs that are idly stored due to insufficient power supply and data center infrastructure [1][2][3][4]. Group 1: Current Challenges - The primary challenge is not a surplus of computing power but rather the lack of electrical capacity and the inability to quickly build data centers close to power sources [2][4]. - Microsoft has a significant number of NVIDIA AI chips that are currently unused due to these infrastructure limitations [3][4]. - The industry is experiencing a collective challenge where energy and infrastructure must match the growing demand for AI computing power [10][11]. Group 2: Energy Supply Issues - The overall electricity demand in the U.S. has surged over the past five years, driven by the rapid expansion of AI and cloud computing data centers [15][16]. - Traditional power plants take years to develop, while the AI industry expands at a quarterly pace, leading to a mismatch in supply and demand [17][18]. - Many data center developers are opting for "behind-the-meter" power solutions to bypass public utilities and meet their energy needs [17]. Group 3: Future Outlook - There are concerns that if AI demand slows down, the investments in power plants and energy storage could become underutilized [22]. - However, some industry leaders believe that AI's energy demand will only continue to grow, leading to more applications and higher overall demand [24][25]. - The call for increased power generation capacity is seen as a strategic asset for AI development, with suggestions for the U.S. government to add 100 gigawatts of power annually [28]. Group 4: Strategic Adjustments - Microsoft has decided not to stockpile single-generation GPUs due to the risk of obsolescence and depreciation if they cannot be powered [30][32][33]. - The industry is shifting focus from peak performance to energy efficiency, as the limitations have transitioned from computing power to energy supply [39][40]. - Microsoft has announced plans to invest $8 billion in data centers and AI projects in the Gulf region over the next four years, indicating a shift in AI infrastructure towards energy-rich emerging markets [43][44].

Core Viewpoint - The article discusses the controversy surrounding the Guangzhou Metro App, which has been criticized for its intrusive advertising practices that disrupt the user experience, particularly during peak commuting hours [1][3][4]. Group 1: User Experience Issues - Users have reported that the app frequently displays ads when using the ride code feature, with the "shake to trigger" function leading to accidental ad activations, significantly affecting the efficiency of passing through gates during rush hours [1][3]. - Many users expressed frustration over the ad display process, which requires them to view multiple ads before they can complete their transaction, leading to delays and missed trains [3][4]. Group 2: Customer Service Response - The customer service response to complaints has been criticized for lacking empathy and failing to address the core issues raised by users, suggesting that not everyone dislikes ads and offering a cumbersome feedback process [4][6]. - This response has led to further public backlash, with many users feeling that their concerns were dismissed and that the company was not taking responsibility for the negative impact of the ads [6]. Group 3: Regulatory and Corporate Response - Following public outcry and regulatory scrutiny, the Guangzhou Metro took immediate action by removing the "shake to trigger" ads and optimizing the app's interaction design to minimize disruptions [7][10]. - The regulatory body highlighted that the ad practices may violate advertising laws, emphasizing the need for clear exit options for ads and restrictions on high-sensitivity triggers [6][10]. Group 4: Broader Implications - The incident raises important questions about the commercialization of public service apps, suggesting that while advertising can be a source of revenue, it should not compromise user convenience and service quality [10][11]. - The media has pointed out that the core function of public transport apps should prioritize safety, stability, and efficiency, and that any commercial elements introduced must not overshadow these essential services [11][12].

以下文章来源于算法爱好者 ，作者小蒜 算法爱好者 . 算法是程序员的内功！「算法爱好者」专注分享算法相关文章、工具资源和算法题，帮程序员修炼内 功。 11 月 3 日，外媒援引路透社报道称： 美国总统特朗普表示，AI 巨头英伟达的最先进芯片将仅供美国企 业使用，禁止向中国及其他国家供应。 在 CBS《60 分钟》节目播出的预录访谈及空军一号上对记者的谈话中， 特朗普强调，只有美国客户 才能获得英伟达的顶级 Blackwell 芯片 。 "最先进的芯片，除了美国以外我们不会让任何人获得，我们不会把（Blackwell）芯片交给其他国家。" 他在接受 CBS 采访时如此表态，与此前从佛罗里达返回华盛顿途中对记者的说法如出一辙。 此番言论显示，相较于美国官员先前释放的信号，特朗普可能对尖端 AI 芯片实施更严格的管制，中国 乃至全球其他地区或将无法获取英伟达最先进的半导体产品。 2025 年 7 月，特朗普政府曾发布新版人工智能蓝图，试图通过放宽环保规定、大幅扩大对盟友的 AI 技术输出来维持美国在这一关键技术上对中国的优势。 而就在 10 月 31 日，英伟达刚宣布将向韩国及三星电子等企业供应超过 26 万枚 B ...

Core Insights - The article discusses common mistakes engineers make during code reviews, particularly in the context of increasing AI-generated code and the challenges of reviewing it effectively [3][5]. - It emphasizes the importance of understanding the entire codebase rather than just focusing on code differences (diff) and provides practical advice to improve review efficiency [3][5]. Group 1: Common Mistakes in Code Reviews - Engineers often focus solely on the code differences (diff), missing out on significant insights that come from understanding the broader system [6][7]. - Leaving too many comments during a review can overwhelm the reviewer, making it difficult to identify the most critical feedback [8]. - Using personal coding preferences as a standard for reviews can lead to unnecessary comments and conflicts, as there are often multiple valid solutions to a problem [9][11]. Group 2: Recommendations for Effective Code Reviews - Reviewers should prioritize understanding the context of the code changes rather than just the diff, considering what might be missing from the code [18]. - It is advisable to leave a limited number of well-considered comments instead of a large volume of superficial ones [18]. - Clearly marking reviews as "blocking" when there are significant issues helps clarify the status of the review and prevents confusion about whether changes can be merged [12][13]. Group 3: Review Culture and Practices - Most reviews should ideally result in an approval status, especially in fast-paced environments like SaaS, to avoid bottlenecks in development [13][14]. - High rates of blocking reviews may indicate structural issues within teams, such as over-cautiousness or misalignment of goals between teams [14]. - The article suggests that code reviews should also serve as learning opportunities, fostering knowledge sharing and team growth [17][22].

Core Viewpoint - The dissatisfaction among Sam's Club members is primarily due to the recent app redesign and the appointment of a former executive from X company, leading to concerns about the brand's direction and customer experience [2][4]. Group 1: App Redesign Issues - The redesign of the Sam's Club app has led to numerous complaints from members, particularly regarding overly beautified product images that lack authenticity [2]. - Members expressed frustration over the new interface, which has become more complicated, making it harder to access product details and hiding important information like ingredient lists [4]. - There is a growing concern that the app's changes reflect a shift towards a more commercialized approach, reminiscent of X company's e-commerce strategy, which could undermine the original member-focused model [4]. Group 2: Executive Changes - The appointment of a former executive from X company as the president of Sam's Club has sparked fears among members about potential changes in company culture and operational focus [2]. - The backlash against the new leadership is evident in the negative reviews and calls for the removal of the new executive [2][3]. Group 3: Company Response - In response to the backlash, Sam's Club issued a statement indicating that the app changes were in testing phases and that they would continue to optimize based on member feedback [6]. - As of November 4, some product images have been reverted to their original versions in response to member complaints [8].

Core Viewpoint - Nexperia Netherlands has unilaterally decided to stop supplying wafers to its packaging and testing factory in Dongguan (ATGD) starting from October 26, 2025, citing alleged non-compliance with contractual payment conditions by local management [1] Group 1: Company Response - Nexperia China strongly opposes the claims made by Nexperia Netherlands, stating that the allegations of non-compliance are baseless and that Nexperia Netherlands owes ATGD approximately 1 billion RMB in outstanding payments [2][4] - Nexperia China has established sufficient inventories of finished goods and work-in-progress, ensuring stable fulfillment of customer orders through year-end and beyond, with a secure and reliable supply chain [5][6] - To ensure long-term supply resilience, Nexperia China has proactively initiated multiple contingency plans and is accelerating the qualification of new wafer supply sources, expressing confidence in meeting all customer demands starting next year [6][5] Group 2: Management Accountability - The management team at Nexperia Netherlands is accused of severe dereliction of duty, prioritizing personal interests over the company's overall interests, which violates professional ethics and corporate governance [4] - The unilateral suspension of supply by Nexperia Netherlands is viewed as a serious violation of contractual agreements and customer trust, described as an extremely irresponsible act [5] Group 3: Commitment to Customers - Nexperia China emphasizes its commitment to product quality and fulfilling customer promises, stating that the supply suspension will not change its dedication to customer interests [7][8] - The company values the trust and support of its customers and will maintain timely and transparent communication with them [8]

图转自阑夕，留言区还有网友补充了这一张： AI 时代的最热门编程"语言" ↓↓↓ | 排名 | 挡垫 | 提示词语言 | 市场占有率 | | --- | --- | --- | --- | | 1 | | 给我生成完整可运行的代码 | 18.762% | | 2 | € | 用中文回答 | 16.543% | | 3 | > | 我说了要复用现有接口 | 14.891% | | 4 | 11 | 别又给我生成一堆TODO | 12.337% | | 5 | > | 为什么又引入新依赖 | 10.984% | | 6 | | 这个错误你上次就犯过 | 9.215% | | 7 | ← | 别自作聪明优化 | 7.638% | | 8 | > | 这个API根本不存在 | 6.492% | | 9 | 1 | 还是报错 | 5.871% | | 10 | 1 | 注释和代码对不上 | 4.923% | | 11 | → | 就改这里别的别动 | 4.156% | | 12 | 111 | 不要用any啊大哥 | 3.784% | | 13 | | 能先跑起来再说吗 | 3.291% | | 14 | 1 | 你这 ...

Core Insights - VoidZero, founded by Vue creator Evan You, has successfully raised $12.5 million (approximately ¥88.96 million) in Series A funding, indicating strong investor confidence in their vision of creating a unified JavaScript toolchain [1][3][4]. Funding and Investor Support - The Series A round was led by Accel, with participation from Peak XV Partners, Sunflower Capital, and industry leaders such as Koen Bok from Framer and Eric Simons from StackBlitz, highlighting the recognition of VoidZero's goals [3]. - Previously, VoidZero secured $4.6 million in seed funding in 2024 to validate their concept of a faster and more user-friendly JavaScript toolchain [3]. Team Expansion and Product Development - Following the funding, VoidZero has expanded its team, bringing in industry experts, including the creator of napi-rs and key contributors from various open-source projects [6]. - The company has launched its flagship product, Vite+, which integrates multiple development functions into a single command-line interface, addressing the fragmentation issues faced by over 28 million JavaScript developers [8][11]. Product Performance and Market Impact - Vite, the core tool of VoidZero, has surpassed Webpack in weekly downloads, indicating a significant shift in developer preference [9]. - Other tools like Vitest and Rolldown have also shown impressive growth, with Rolldown achieving over 1 million downloads per week [9]. - Vite+ is currently in private testing, with the recent funding aimed at accelerating its stable release, promising to enhance developer productivity by reducing the time spent on learning and tool compatibility [11]. Ecosystem and Future Outlook - VoidZero's approach of leveraging commercial products like Vite+ to support open-source projects presents a sustainable model for the ecosystem [12]. - The tools developed by VoidZero are already being utilized by major companies such as OpenAI, Shopify, and Stripe, and the company aims to significantly boost JavaScript developer productivity [14]. - With plans for further team expansion and market development in the Asia-Pacific region, VoidZero is positioned to potentially transform the future of JavaScript tooling [14].

Core Insights - Microsoft Azure experienced a significant global outage on October 29, 2025, affecting various services and users worldwide, coinciding with the release of its Q1 FY2026 earnings report, which showed a 40% year-over-year revenue growth in cloud services [5][6][27] - The outage was attributed to an accidental configuration change in Azure Front Door, leading to widespread service disruptions across Microsoft's core services and third-party applications [16][22] Group 1: Outage Details - The outage began at 16:00 UTC and lasted nearly 9 hours, with full recovery expected by 23:20 UTC [5][24] - Affected services included Azure Active Directory, Azure SQL Database, and many others, impacting a wide range of industries and applications [9][16] - Major companies like Alaska Airlines and healthcare institutions reported service interruptions due to the Azure outage [11][13] Group 2: Industry Implications - This incident follows a similar outage from Amazon AWS, raising concerns about the centralized risks associated with cloud services [27][28] - Experts highlighted that such outages could lead to significant financial losses for businesses, emphasizing the need for improved resilience in cloud infrastructure [30] - The concentration of cloud services among a few major providers poses systemic vulnerabilities, prompting discussions on the necessity for redundancy and multi-cloud strategies [28][30]

Core Viewpoint - Elon Musk predicts that traditional smartphones, operating systems, and applications will completely disappear within the next five to six years, envisioning a future dominated by AI where devices serve merely as edge nodes for AI reasoning, displaying content and playing audio without complex operating systems or installed apps [4]. Group 1 - Musk describes a future where server-side AI interacts with device-side AI to generate any desired video content in real-time, such as navigation interfaces, rather than relying on pre-installed applications [4]. - The interaction between AI entities will occur in real-time, with most content consumed by users being AI-generated, and voice will become the primary mode of interaction [4]. - Bandwidth limitations are identified as a key factor driving this transformation, as the demand for high-speed data transmission increases, making direct interaction with intelligent systems a more efficient choice [4]. Group 2 - Musk's vision aligns closely with a device currently being developed by OpenAI in collaboration with former Apple chief designer Jony Ive, which is reported to be pocket-sized, screenless, equipped with various sensors, and capable of running AI models locally while relying on cloud support for complex tasks [5].