在将显示器熔化到金属外壳的过程中， LG生产的显示器未能通过可靠性测试。苹果正在调整显示屏的 设计，以便通使其过测试，而且该公司仍然可以使用三星的显示器进行组装。 这个制造问题或将对iPhone 15 Pro和Pro Max造成严重的冲击，导致许多消费者难以在第一时间购买到 新设备。 至少有一款iPhone机型出现供不应求的情况在此前也曾多次发生过，而且也曾出现过 iPhone机型全部售 完，人们要等待几个月才能看到苹果提高产量、满足需求的情况。在这种情况下，苹果可能的利润率可 能会受到一定的影响，其假日季度收入将低于预期。 据报道，苹果在iPhone 15 Pro和Pro Max的显示屏的生产上遇到了困难，这可能会导致九月份新机上市 的时候设备数量受限。 据悉，iPhone 15 Pro系列将比iPhone14 Pro机型的边框更薄，正是边框尺寸的减小造成了问题。 苹果的供应商正在使用一种新的显示器制造工艺来缩小面板尺寸，这给 LG Display公司带来了问题。苹 果在2019年也遇到过类似的问题，那就是Apple Watch Series 7的显示屏尺寸增加了，导致这款设备的上 市时间被延迟了一个月。 ...

Group 1: Public Fund Industry - The public fund industry in China, valued at over 36 trillion yuan, is undergoing significant reforms with the release of new guidelines for performance benchmarks [1] - The guidelines aim to standardize performance benchmarks and enhance investment management discipline, promoting stable investment styles and long-term returns for investors [1] Group 2: Li Auto - Li Auto announced a recall of 11,411 MEGA vehicles due to safety hazards linked to insufficient corrosion resistance in the cooling liquid, which could lead to battery thermal runaway [2] - The recall affects vehicles produced between February 18, 2024, and December 27, 2024, and is part of Li Auto's commitment to prevent future incidents [2] Group 3: Proya - Proya's Q3 2025 revenue was 1.736 billion yuan, a year-on-year decline of 11.63%, with net profit dropping 23.64% to 227 million yuan, marking the largest quarterly decline in recent years [3] - The main brand's revenue showed signs of stagnation, with a slight decrease in H1 2025, indicating challenges in maintaining growth [3] Group 4: Volkswagen - Volkswagen reported a net loss of 1.072 billion euros in Q3 2025, with a 61.5% year-on-year decline in net profit for the first three quarters [6] - Porsche's poor performance significantly impacted the group's overall results, with a 99% drop in operating profit to 40 million euros due to a shift in electric vehicle strategy [6] Group 5: ZTE Corporation - ZTE Corporation experienced an 88% drop in net profit in Q3 2025, with a revenue of 100.52 billion yuan, reflecting a 32.69% year-on-year decline in net profit [12] - The decline is attributed to reduced revenue from traditional communication services and pressure on margins in emerging computing businesses [12] Group 6: Eight Horse Tea - Eight Horse Tea's stock surged 86.7% on its debut, but the company faces challenges in a competitive market, holding only a 1.7% share in the high-end tea market [10][11] - Despite significant marketing investments totaling approximately 875 million yuan over the past three and a half years, revenue growth has been modest [11] Group 7: Xpeng Motors and WeRide - A public dispute arose between Xpeng Motors and WeRide over misleading data in Xpeng's roadshow materials, highlighting intense competition in the autonomous driving sector [7] - This incident occurred as both companies prepared for simultaneous listings, intensifying the rivalry in the market [7] Group 8: DJI - The chairman of Yingshi Innovation publicly criticized DJI for monopolistic practices, coinciding with DJI's significant market share in the panoramic camera sector [8] - DJI captured 43% of the global market share shortly after launching its first product, indicating fierce competition in the consumer electronics space [8] Group 9: Vanke - Vanke reported a net loss of 28.02 billion yuan in the first three quarters of 2025, with a revenue of 161.39 billion yuan and a low gross margin of 2.0% [9] - The losses are attributed to declining project settlement scales, low gross margins, and increased provisions for inventory depreciation [9]

Core Viewpoint - The article discusses a consumer's negative experience with a trade-in service provided by a company named "同城帮" (Tongcheng Bang), highlighting issues of price manipulation and lack of transparency in the evaluation process of used phones [1][5][19]. Group 1: Consumer Experience - A social media influencer reported a significant price drop in the trade-in value of their iPhone from an initial assessment of 4488 yuan to 3017 yuan after the phone was received, a decrease of 1471 yuan [1]. - The influencer questioned the validity of the price adjustment, citing a lack of visible damage on the phone as per the official assessment photos [4]. - Many other consumers have reported similar experiences of drastic price reductions during the trade-in process, indicating a pattern of potential price manipulation by the service provider [7][9]. Group 2: Company Background - "同城帮" is a service under Beijing Qili Software Technology Co., Ltd., which is part of the 360 second-hand goods ecosystem, providing comprehensive recycling and trade-in solutions [19]. - The company has raised over 200 million yuan in funding, with notable investors including Suning and 360 Group, indicating a significant backing in the circular economy sector [19][20]. Group 3: Customer Service Issues - The influencer attempted to escalate the issue through customer service, demanding evidence for the price reduction and expressing concerns over the lack of proper handling during the evaluation process [14]. - After multiple complaints, the company offered to increase the trade-in price from 3200 yuan to 4200 yuan, but the influencer refused, insisting on the return of the phone instead [15][16]. - There were indications of potential deceptive practices in customer service interactions, where the influencer was advised to cancel the return request, which could have led to losing the phone [18].

Core Viewpoint - Apple has demonstrated the feasibility of fine-tuning large language models (LLMs) on iPhones using a new method called Memory-Efficient Backpropagation (MeBP), which offers better trade-offs between memory usage and computation time compared to existing methods [1][4]. Summary by Sections Introduction - The article discusses Apple's recent paper on MeBP, which allows for model fine-tuning on resource-constrained mobile devices like the iPhone 15 Pro Max [1][3]. Methodology - MeBP focuses on using LoRA for fine-tuning LLMs, aiming to keep memory usage below 1GB, as recommended by PocketLLM [4]. - The fine-tuning process using MeBP consists of three main steps: compressing base model weights, implementing gradient checkpointing, and creating an efficient runtime for executing the training graph [5][10]. Model Weight Compression - The team employed 4-bit symmetric INT4 quantization for non-LoRA parameters, including embeddings, to reduce disk space usage [7][10]. Gradient Checkpointing - The LLM is divided into blocks to ensure that memory consumption during backpropagation remains within device limits. Automatic differentiation is used to generate a backward graph for each block [8][9]. Runtime Implementation - The MeBP runtime is designed to minimize memory usage by memory-mapping compressed model weights and only decompressing them on demand during training [15][16]. Experimental Performance - The team compared MeBP with MeZO, the only known optimization method for mobile LLM fine-tuning, using server-side simulations and performance evaluations on mobile devices [18][24]. - The experiments were conducted on models with parameters ranging from 0.5B to 4B, focusing on loss and next token accuracy as evaluation metrics [20]. Utility Comparison - Results indicated that while zero-order (ZO) optimization showed slower convergence compared to first-order (FO) optimization, MeBP significantly outperformed ZO in terms of convergence speed and computational efficiency [23]. Performance Comparison - MeBP was implemented in Swift on an iPhone 15 Pro Max with 8GB RAM, showing that MeBP's computation time per gradient step was 43% to 94% longer than MeZO, but it converged faster overall due to fewer required steps [24][28]. - The memory usage of MeBP was slightly higher than MeZO in the worst case, but overall training memory usage was approximately 10 times smaller than previous mobile implementations [28]. Conclusion - All tested LLMs could be efficiently fine-tuned within 1GB of memory, making them suitable for background training on mobile devices [28].

Group 1 - The article expresses a sense of frustration and longing for home, particularly the comfort of a mother's care and meals [6][8][7] - It highlights the challenges of work life, including stress and financial issues, leading to thoughts of quitting and returning home [6][7][8] - There is a recurring theme of seeking emotional support from family, especially mothers, during tough times at work [5][6][7] Group 2 - The article discusses the importance of work-life balance, emphasizing the need to separate work from personal life and enjoy leisure time [17][19] - It encourages improving efficiency during working hours to allow for more personal time, which can enhance creativity [19] - The message promotes the use of tools to optimize both work and life, suggesting a proactive approach to managing responsibilities [19]

Group 1 - The article discusses the emotional struggles of workers who often express a desire to resign, highlighting the importance of support from family during tough times [1] - It emphasizes that financial stability or a strong support system allows individuals to consider leaving their jobs without fear [1] - The piece reflects on the happiness that comes from receiving encouragement from family when expressing the wish to quit a job [1] Group 2 - The article includes humorous anecdotes and relatable content about the daily life of workers, showcasing their frustrations and desires for a better work-life balance [21][23] - It mentions the importance of separating work from personal life, suggesting that work should ideally be completed during designated hours [21] - The narrative captures the essence of modern work culture, where many individuals feel overwhelmed yet find solace in shared experiences and humor [40][67]

Core Viewpoint - Xiaomi has taken the incident of a car allegedly driving away on its own seriously, establishing a special task force to investigate and verify the situation with users [1][2]. Group 1: Incident Investigation - Xiaomi's spokesperson stated that the company formed a special task force to investigate the viral video of a car driving away on its own, collaborating with users to verify the facts [1]. - The investigation involved checking the vehicle's backend data and operation logs from the users' smartphones, concluding that the vehicle's data matched the commands issued from an iPhone 15 Pro Max, ruling out any quality issues with the vehicle [1]. - The vehicle's backend data indicated that it received a parking assist command from the iPhone 15 Pro Max during the reported time frame, which activated the parking assist feature and led to the vehicle exiting the parking space [1]. Group 2: User Communication and Apology - During user feedback and online customer service interactions, there was confusion regarding the device that issued the parking assist command, with customer service mistakenly identifying it as an iPhone 16 instead of the correct iPhone 15 Pro Max, leading to misunderstandings [2]. - Xiaomi expressed apologies for the confusion caused by the inaccurate information and committed to improving service processes in the future [2]. - The company emphasized that user safety and experience remain its top priorities and thanked users for their support [2].

Core Viewpoint - The incident involving a Xiaomi car reportedly driving away on its own has been investigated, and the company concluded that the vehicle's movement was triggered by a parking assist command sent from the user's phone, ruling out any quality issues with the vehicle [1][2]. Group 1 - Xiaomi has established a special task force to investigate the incident and has collaborated with the user to verify the situation [1]. - The investigation revealed that the vehicle received a parking assist command from the user's iPhone 15 Pro Max, which activated the parking assist feature, leading to the vehicle moving out of its parking space [2]. - Xiaomi acknowledged a mix-up in communication where customer service mistakenly identified the device that sent the command, which caused confusion for the user, and the company has apologized for this error [2].

Core Viewpoint - The practice of limiting the iPhone 15 Pro Max's charging to 80% to extend battery lifespan is deemed counterproductive, as the marginal health benefits do not justify the significant reduction in daily usability [1][6]. Charging Strategy and Battery Performance - The author conducted a personal experiment over 18 months, strictly adhering to the 80% charging limit, which initially seemed to maintain acceptable battery performance [2][3]. - After 355 charging cycles, the battery capacity dropped to 91%, and the impact of the charging limit combined with natural battery degradation became noticeable, leading to increased anxiety about battery life [3][4]. - By the 17th month, with 501 charging cycles, the battery capacity fell to 89%, resulting in poor performance where the battery would deplete to near 20% by mid-afternoon, necessitating the use of a power bank [4][6]. Comparison with Other Devices - A colleague's iPhone, which did not have the 80% limit, maintained a higher battery capacity of 96% after 308 cycles, suggesting that the charging limit may not provide significant health benefits [6][8]. - Another test on the iPhone 16 Pro Max showed a battery capacity of 94% after one year with the same 80% limit, further questioning the effectiveness of this charging strategy [6][8]. Conclusion on Charging Limit - The overall conclusion drawn from the tests indicates that enabling the 80% charging limit is not worthwhile within a 1-2 year usage period, as the inconvenience of reduced battery life outweighs the minimal protective effects on battery health [6][8].

Core Viewpoint - The incident involving a Xiaomi car allegedly driving away on its own has been investigated, and the company concluded that the vehicle's operation was triggered by a user command from a connected iPhone, not a malfunction of the vehicle itself [1][6]. Group 1: Incident Details - A Xiaomi car owner reported that their vehicle unexpectedly started and drove away while they were indoors, leading to concerns about vehicle safety [1]. - The company established a special task force to investigate the incident and collaborated with the user to verify data from the vehicle and mobile app logs [1][6]. - The investigation revealed that the vehicle received a parking assist command from the owner's iPhone 15 Pro Max, which activated the vehicle's parking assist feature and caused it to exit the parking space [1][6]. Group 2: Communication and Clarification - Xiaomi's customer service initially confused the device model, leading to misunderstandings about the incident, for which the company apologized and committed to improving communication [2]. - The car owner confirmed the accuracy of the data reviewed with Xiaomi's team and expressed gratitude for their professionalism, urging others not to spread rumors [4][5]. - Xiaomi's vice president supported the car owner's statement, emphasizing the importance of understanding the clarified information [4][5].