今天趣图来咯~ 11 日下午，苹果官宣发布 iPhone Pocket。东西是和某品牌联名的，如果只看产品名字，我还真以为是一款数码产品。 然而它长下面这样： 这款产品的设计灵感源自"一块布"，采用独特的 3D 针织一体结构，可适配所有 iPhone 以及其他随身小物。 官方表示，这款配件"以美妙方式将 iPhone 随身穿戴" 。 不少网友 联想至"毛线杯套""保温水瓶套""剪洞长筒袜"。而且它的价格也是很苹果…… 短款 1299￥，长款卖 1899￥ 这设计，加上这价格…… 于是，欣赏不来的网友们，纷纷 吐槽： 往期趣图 （点击下方图片可跳转阅读） " 回去让我姥给我勾一个 " " 这不就是我姥姥以前织的毛线手机套吗？ " "库克怕 iPhone 冻着，给它织了件毛衣" " 我以为是 pocket，谁知道真是个 pocket 啊 " " 国内没市场，国外易被抢，来个电话半天都扒拉不出来" 趣图: 后端表示十分感谢 ...

Core Insights - Tencent's 2025 R&D report reveals significant data on product and technology development, highlighting the increasing role of AI in their operations [1] Group 1: Programming Languages and Workforce - The most popular programming language at Tencent shifted from C++ to Go starting in 2021 [3] - As of June 30, 2023, Tencent has approximately 111,221 employees, with 76% of them involved in product and R&D roles [5][9] Group 2: Code Generation and AI Utilization - Tencent generates approximately 325 million lines of new code monthly, with 50% of this code being AI-assisted [6] - 94% of code reviewers at Tencent utilize AI for code review, with AI identifying 28% of code issues, leading to a 44% increase in effective problem detection [6] Group 3: Efficiency Improvements through AI - By 2025, 284 teams at Tencent are using AI to enhance productivity, with over 90% of engineers employing in-house AI tools [8] - Specific improvements include a 50% reduction in compilation time for WeChat, a 31% decrease in delivery cycles for WeChat Pay, and a 40% reduction in compilation time for mobile QQ on iOS [10] Group 4: Automation and Quality Enhancements - Tencent's game art production automation rate has reached 95%, with automated tools achieving quality comparable to manual production [12] - In Tencent Cloud, 65% of new code comes from the AI code assistant Codebuddy, resulting in a 31.5% reduction in bug rates per thousand lines of code [12] - Tencent's advertising iteration efficiency has doubled, with 90% of version releases achieving full process automation [12] - The success rate for deploying Tencent's financial technology environments has improved to 99% [12]

前些天因摇一摇霸屏广告淘宝上了一次热搜 ， 双十一前夕 淘宝又上热搜了。 11 月 10 日 14:01，刘嘉玲一条怒怼微博将淘宝、天猫推上风口。她直接 @淘宝和天猫，质问 "严重侵权、欺骗消费者是你们的营销策略吗？"。 事件起因 刘嘉玲在微博中晒出两张电商平台界面截图，截图显示该店铺在售卖 "新西兰 ENCARE 耳牛免疫球蛋白" 时，将梁朝伟的半身照放在商品首页做宣传，还标注了品 牌是梁朝伟参与的访谈节目《大片很好看》的特别赞助商。 除此之外，店铺同时也使用了该节目的主持人陈鲁豫的照片用于宣传。但梁朝伟、陈鲁豫均未与该品牌有过代言合作，店铺的这种行为很容易让消费者误以为梁朝 伟是该产品代言人，进而误导消费。 于是刘嘉玲直接 @淘宝和天猫官方账号，愤怒质问这种侵权且欺骗消费者的行为是否是平台的市场营销策略。 面对质疑，涉事店铺客服一开始辩解称品牌赞助过梁朝伟参与的节目，所以拥有照片使用权，还表示在和节目组沟通厘清误会。 不过该说法很快遭到反驳，一来该节目是 2024 年首播的，距此次宣传已时隔较久，二来节目赞助和艺人个人肖像的商业使用授权毫无关联，不能混为一谈。 后续店铺客服改口称事件已移交品牌方处理，店内 ...

Core Viewpoint - The article discusses the significant impact of AI on the U.S. economy, highlighting a paradox where substantial investments in AI lead to massive layoffs in the tech sector, suggesting a future where either widespread unemployment or economic collapse may occur [3][8][9]. Group 1: Economic Impact of AI - Investment in information processing and software accounts for 4% of U.S. GDP but contributed 92% of GDP growth in the first half of the year [6]. - The U.S. economy is heavily betting on AI, with the potential for transformative changes that could lead to either mass automation of jobs or economic stagnation [9][10]. - The tech industry is experiencing a wave of layoffs, with October 2025 seeing 33,281 layoffs, a significant increase from 5,639 in September [37][38]. Group 2: Industry Reactions and Strategies - Keith Riegert, CEO of Ulysses Publishing, expressed concerns about AI's dual potential to either create a dystopian future of mass unemployment or lead to economic collapse, preferring the latter [13][31]. - Riegert emphasized the need for the publishing industry to embrace AI or risk being left behind, showcasing a strategic partnership with OpenAI that mandates employees to use ChatGPT for at least one hour daily [20][17]. - Meta is integrating AI into employee performance management, using an internal tool called Metamate to assist in generating performance reviews [48][50]. Group 3: Layoffs and Financial Pressures - The tech sector's layoffs are attributed to a combination of factors, including over-hiring during the pandemic, economic downturns, and the rising costs associated with AI infrastructure [55][66]. - Companies like Amazon and Meta are facing financial pressures due to high AI-related expenditures, leading to significant layoffs as a cost-cutting measure [67][75]. - The article notes that AI investments are not generating sufficient revenue to justify the scale of layoffs, with projections indicating that global AI infrastructure spending could approach $1 trillion by 2025, while revenues from generative AI may not exceed $30 billion [75][76]. Group 4: Future Employment Landscape - The article raises concerns about the long-term employment prospects for recent graduates, noting that a significant portion of the long-term unemployed are college graduates [85]. - While AI has not yet fully displaced young workers, the narrative suggests that future job opportunities may diminish as the economy recovers [86][87].

Core Viewpoint - The controversy surrounding the Sam's Club app redesign reflects broader concerns about the impact of executives from large companies on smaller organizations, particularly regarding the blind adoption of management practices that may not fit the new environment [10][11]. Group 1: User Reactions - Users expressed strong dissatisfaction with the new app interface, leading to calls for the dismissal of the new executive from the "X" background, despite the redesign being planned prior to their arrival [1][2]. - A significant number of comments (over 1000) emerged from users sharing negative experiences related to the influence of executives from large companies, highlighting issues such as severe internal competition and layoffs [3][4]. Group 2: Criticism of Management Practices - Many users criticized the "blindly copying models" approach taken by smaller companies when hiring executives from large firms, suggesting that such practices often lead to detrimental outcomes [7][10]. - A consultant noted that the operational models of large companies are tailored to their specific market conditions and cannot be directly applied to smaller firms without adaptation [7][10]. Group 3: Long-term Implications - The article emphasizes that the core issue is not solely the executives from the "X" background, but rather the decisions made by company leadership to hire them and implement their management strategies [8][11]. - Effective management should be based on the unique circumstances of each company, rather than a one-size-fits-all approach derived from larger organizations [10][11].

Group 1 - Liu Qiangdong proposed a 90% excess profit tax on technology monopolies, with funds directed towards pension and education sectors [1] - The tax would primarily target tech giants with market capitalizations exceeding $1 trillion, such as Nvidia, Apple, Google, and Microsoft [1] - The proposal has sparked discussions online, with some expressing concerns that such a high tax rate could stifle innovation and reduce investment in research and development [4][5] Group 2 - Liu Qiangdong envisions a future work model where employees may only need to work one day a week or even just one hour, driven by technological advancements creating new service demands [3] - There is a belief that the rise of AI and robots will not replace human jobs but rather create new opportunities in fields like humanities, arts, tourism, and space exploration [3]

Core Points - The Biden administration has informed federal agencies that Nvidia will not be allowed to sell its latest simplified AI chip, the B30A, to China [5] - The B30A chip is a compliant version that meets current U.S. export restrictions, but its performance is lower than Nvidia's flagship H100 [5] - Nvidia has provided samples of the B30A chip to several Chinese customers, indicating a potential demand for its capabilities in training large language models [5] - Nvidia's spokesperson stated that the company has zero market share in the competitive Chinese data center computing market and has not included this market in its performance guidance [5] - Nvidia is reportedly working on modifying the B30A design in hopes that the U.S. government will reconsider its stance [5] Summary by Sections Section 1: Government Regulations - The Biden administration has prohibited Nvidia from selling the B30A chip to China, reflecting ongoing tensions and regulatory scrutiny in the tech sector [5] Section 2: Product Details - The B30A chip is designed to comply with U.S. export restrictions and is intended for use in training large language models, which is a significant requirement for many Chinese enterprises [5] Section 3: Market Position - Nvidia's spokesperson highlighted the company's lack of market presence in China, emphasizing that it has not factored this market into its financial outlook [5] Section 4: Future Developments - Nvidia is in the process of redesigning the B30A chip, aiming for a potential policy shift from the U.S. government regarding its export to China [5]

Core Viewpoint - The article discusses the investigation initiated by the Hangzhou Yuhang District Market Supervision Administration regarding the forced redirection of users to Taobao during the "Double 11" shopping festival, highlighting user complaints about the intrusive advertising practices [1][3]. Group 1: Investigation and User Complaints - The Hangzhou Yuhang District Market Supervision Administration confirmed receipt of complaints about forced redirection to Taobao when using various mobile apps, which significantly disrupts user experience [1][3]. - Users reported that minor interactions, such as touching the screen or slight movements of the phone, led to automatic redirection to Taobao's event page, causing frustration and annoyance [3][5]. Group 2: Regulatory Actions and Past Issues - Taobao has faced multiple regulatory penalties in recent years due to advertising compliance issues, indicating a pattern of problematic advertising practices [4]. - In June 2021, Taobao was fined 50,000 yuan for illegal advertising content, and in July of the same year, it received another fine of 50,000 yuan for failing to promptly address illegal advertising by platform merchants [5].

Core Viewpoint - The article discusses the conflict between Google Project Zero and the open-source framework FFmpeg regarding the responsibility of fixing bugs discovered by AI tools, raising questions about the ethics of relying on volunteer maintainers for critical software security [1][17]. Group 1: Triggering Event - Google Project Zero announced a new policy called "Reporting Transparency" in July 2025, which requires the disclosure of bugs within a week of discovery, even if they are not yet fixed, while maintaining a standard 90-day repair window for vendors [3][5]. - The policy aims to reduce the "upstream patch lag," where fixes are available but not yet distributed to users, facilitated by Google's AI security engine, Big Sleep [3][5]. Group 2: Bug Discovery and Response - In August 2025, Big Sleep identified approximately 20 bugs in major open-source projects, including FFmpeg, which is widely used in browsers and media applications [5][6]. - Although most bugs were rated as low or medium risk, the public nature of the disclosures pressured FFmpeg maintainers to fix the bugs quickly without providing any direct patches from Google [6][7]. Group 3: FFmpeg's Reaction - FFmpeg developers expressed their frustration on social media, arguing that Google’s approach places undue pressure on volunteers to fix bugs without offering any support or solutions [8][12]. - They criticized the situation as a form of "corporate coercion," where a wealthy company uses AI to find vulnerabilities and then shifts the repair responsibility to unpaid volunteers [8][12]. Group 4: Diverging Perspectives - The security research camp, supporting Google, argues that FFmpeg, as a critical internet supplier, has an obligation to fix vulnerabilities and that the responsibility lies with maintainers [9][10]. - Conversely, the open-source camp, supporting FFmpeg, contends that Google should also contribute by providing patches alongside bug reports, emphasizing the strain on volunteer developers [12][13]. Group 5: Historical Context - This conflict is not unprecedented; similar frustrations have been voiced by other open-source maintainers, such as Nick Wellnhofer from libxml2, who highlighted the pressure from Google Project Zero [16]. - The article references the XZ Utils incident, where over-reliance on a few volunteers led to significant security risks, underscoring the vulnerabilities in the open-source ecosystem [16][18]. Group 6: Broader Implications - The ongoing debate highlights the fragile nature of the internet's foundational infrastructure, which often relies on a small number of volunteers, raising concerns about sustainability and security in the face of increasing bug reports from AI tools [17][18].

Core Viewpoint - The CEO of Nvidia, Jensen Huang, stated that China will win the AI competition, highlighting the advantages of China's regulatory environment and lower energy costs as key factors in this assertion [5][6]. Group 1: China's Key Advantages - China benefits from a more favorable regulatory environment, which is described as "efficient and agile," providing certainty for AI industry development. In contrast, Western countries are mired in skepticism and regulatory hurdles that may stifle innovation [8]. - Lower energy costs in China are a significant advantage for AI development, as data centers, which are crucial for AI operations, incur high energy expenses. Huang emphasized that Chinese tech giants can maintain AI operations at lower costs due to substantial energy subsidies [8][9]. Group 2: Timing and Industry Landscape - Huang's comments came at a critical time following a recent summit between US and Chinese leaders, where discussions on Nvidia's latest Blackwell chip sales to China were not included in the agenda, complicating Nvidia's market strategies [10]. - The rise of China's AI capabilities is evident, with local labs like DeepSeek producing advanced language models that challenge the technological edge of companies like OpenAI and Anthropic [10]. Group 3: Nvidia's Market Dilemma and Interests - Nvidia, which holds over 80% of the global AI chip market, has seen its market share decline from 27% in China to a complete exit due to escalating US export controls [12]. - The company has faced challenges in adapting its product offerings for the Chinese market, including the introduction of downgraded chips and special versions for China, but these efforts have been met with obstacles [12]. - Huang's statements reflect a recognition of China's AI strength and serve as a message to the US government that market openness is essential for mutual benefit, as policies that harm China may ultimately hurt the US [12].