整理 | 苏宓 转自| CSDN（ID：CSDNnews） 在许多程序员的工作中，"每天、每周要写多少行代码"似乎成了一个绕不开的话题。有人拿它当 KPI，有人拿来卷效率，也有人把它当做衡量开发者价 值的量尺。 但真的是写得越多，代表能力越强、贡献越大吗？ 最近，在 Hacker News 上，一则经典回忆被再次顶上热榜：苹果公司早期工程师 Bill Atkinson 曾通过重写算法，不仅使软件性能提升了近六倍，还减 少了约2000 行代码。 结果，当被管理层要求填写" 本周编写的代码行数 "的表格时，他毫不含糊地写下了一个数字： -2000。 于是他们设计了一张表格，要求团队所有工程师每周五都得填，里面最关键的一栏就是："你本周写了多少行代码？" 但这项指标让 Bill Atkinson 感到相当荒谬。 他不是别人，正是 QuickDraw 图形引擎的作者 ，也是 Lisa 和后来的 Macintosh 项目中最关键的用户界面设计师之一。 在他看来，代码行数根本不是衡量开发效率的好办法。他的目标是让程序尽可能小、尽可能快，而这个所谓的"代码行数指标"只会鼓励大家写出臃肿、 混乱、质量低下的代码。 当时他正好 ...

Core Viewpoint - The article highlights the recruitment of two prominent AI experts, Banghua Zhu and Jiantao Jiao, by NVIDIA to enhance its enterprise-level AI capabilities through the Star Nemotron team, indicating a strategic move towards comprehensive AI solutions beyond just GPU sales [1][51]. Group 1: Recruitment of Key Talent - NVIDIA's CEO, referred to as "老黄," has made a notable appearance by recruiting Banghua Zhu and Jiantao Jiao, both of whom have strong academic and industry backgrounds in AI [2][51]. - Banghua Zhu, an assistant professor at the University of Washington, has joined NVIDIA as a Chief Research Scientist, focusing on enterprise-level AI agent development [12][21]. - Jiantao Jiao, an assistant professor at UC Berkeley and co-founder of Nexusflow, has also been announced as part of NVIDIA's team, emphasizing the company's commitment to building a robust AI workforce [14][15]. Group 2: Background of the Recruited Experts - Banghua Zhu has a solid academic foundation, having earned his PhD from UC Berkeley and co-founding Nexusflow AI in 2023, which focuses on reliable AI solutions for enterprise applications [20][21]. - Jiantao Jiao has extensive experience in both academia and industry, holding multiple positions at UC Berkeley and leading Nexusflow, which aligns with NVIDIA's goals in the AI sector [42][43]. Group 3: Strategic Implications for NVIDIA - NVIDIA aims to provide end-to-end AI solutions, moving beyond GPU sales to offer comprehensive agent solutions, as indicated by the introduction of the Nemotron series [51]. - The recruitment of Zhu and Jiao is seen as a response to the competitive landscape for AI talent, with a growing trend of companies hiring top Chinese AI researchers [52][53]. - This recruitment strategy reflects NVIDIA's recognition of the high caliber of Chinese AI researchers and the urgency to secure top talent in the rapidly evolving AI field [52][54].

Core Viewpoint - WeChat has optimized the interaction reminders in Moments, allowing users to better manage notifications and reduce information overload [1][11]. Group 1: New Features - The Moments message list now distinguishes between "interactions with me" and "friends' interactions," making it more organized [2][3]. - Users can access "all interaction messages" to view all content related to their interactions [4]. - The feature is currently in a gray testing phase, available to a limited number of users [5]. Group 2: User Experience Improvement - The previously introduced "only remind friends of my interactions" feature has expanded its testing coverage, allowing more users to set it up [6]. - After updating to the latest version, users can navigate to the new settings for interaction reminders [7]. - If the option to clear notifications appears, it indicates that the user is not part of the testing group [8]. Group 3: Notification Management - Enabling the new option will stop notifications for friends' interactions on posts the user has engaged with, although the message list remains accessible [9]. - Many users had previously expressed frustration over excessive notifications from interactions on posts they liked, seeking a way to limit notifications to only relevant interactions [10]. Group 4: Overall Enhancements - This update addresses user concerns by significantly reducing information interference and improving browsing efficiency [11]. - WeChat has also introduced other practical feature updates, such as chat record backup and the ability to clear "deleted or blocked friends," continuously enhancing the social experience [12].

Core Viewpoint - The Trump Group's announcement of entering the smartphone market with a "Made in America" phone has been contradicted by reports revealing that the phone is actually produced by a Chinese company, raising questions about the authenticity of the claims and the implications for American manufacturing [1][2][4]. Group 1: Announcement and Initial Claims - The Trump Group announced a new smartphone priced at $499, claiming it would be entirely "Made in America" and would boost American manufacturing and employment [1]. - The CEO of Purism revealed that the phone is not made in America but is produced by a Chinese company, contradicting the Trump Group's claims [2]. Group 2: Changes in Messaging - Following the backlash, the Trump Group has started to retract its previous statements, removing "Made in America" from its promotional materials and instead stating that the phone has a design that Americans can be proud of and was "born" in the U.S. [4][5]. - This shift from "American-made" to "locally born" is seen as a strategic move to mitigate the negative publicity [5]. Group 3: Industry Context and Challenges - The U.S. smartphone supply chain is currently incomplete, with core components still reliant on imports, making it difficult to produce a fully American-made device [8]. - High domestic labor and manufacturing costs make it challenging to sell the phone at a competitive price while ensuring profitability at the $499 price point [9]. Group 4: Broader Implications and Reactions - Analysts had speculated prior to the revelation that the phone would likely be made in China, citing similarities with existing models produced by Chinese manufacturers [10][12]. - The Trump Group has not provided an explanation for the discrepancies, indicating potential public relations challenges ahead [15]. - The situation raises questions about the credibility of Trump's previous demands for Apple to relocate its production to the U.S., especially given the current circumstances surrounding the Trump Group's smartphone [18][21].

Core Viewpoint - The article discusses the societal pressures and expectations surrounding success, particularly in familial and social contexts, highlighting how individuals are often judged based on their achievements and the reactions of those around them when they succeed or fail [1]. Group 1 - The article emphasizes that when an individual achieves success, they are often surrounded by supportive people, but this support can quickly turn to criticism if they experience setbacks [3][4]. - It points out the tendency of family and friends to monitor and judge one's career choices, often leading to negative comparisons and pressure [2][4]. - The narrative illustrates how societal expectations can create a toxic environment where individuals feel the need to constantly prove themselves to avoid judgment [3][4]. Group 2 - The article reflects on the dynamics of family relationships, particularly in rural settings, where success can lead to increased scrutiny and expectations from relatives [4]. - It discusses the contrasting reactions from family members based on an individual's success or failure, showcasing the conditional nature of familial pride [3][4]. - The piece also highlights the emotional toll of these societal pressures, suggesting that individuals may feel isolated or unsupported despite their achievements [2][3].

Core Viewpoint - The article humorously discusses the absurdity of modern social interactions, particularly focusing on the concept of "splitting costs" in various situations, highlighting how trivial expenses are calculated and shared among friends or acquaintances. Group 1 - The protagonist humorously requests reimbursement for a small amount spent on perfume during a date, emphasizing the triviality of the expense [3] - A scenario is presented where a spilled drink leads to a calculation of how much should be reimbursed, showcasing the absurdity of such financial exchanges in casual relationships [4] - The article includes a playful calculation of time spent responding to messages, equating it to a monetary value, further illustrating the humorous take on cost-sharing [5] Group 2 - The narrative includes various humorous interactions and comments from readers, reflecting a shared understanding of the ridiculousness of meticulously splitting costs for minor expenses [12][18] - The article touches on the broader theme of social pressures and expectations in relationships, where individuals feel compelled to account for every small expenditure [51][52] - The overall tone is light-hearted, encouraging readers to reflect on their own experiences with similar situations, fostering a sense of community through shared humor [66][70]

Core Viewpoint - Microsoft has failed to renew/update its TLS certificate, leading to frequent expiration notifications for some Office users, affecting multiple domains related to Office services [1][3]. Group 1 - The expired certificate was related to Office services and was due to expire on June 23, 2023, with the new certificate issued on June 28, 2024, and set to expire on June 23, 2025 [1]. - The issue affects six domains associated with Microsoft Office, including support.content.office.net and others, causing errors when users attempt to access certain resources [2][3]. - The problem is expected to be resolved once Microsoft engineers return to work and update the TLS certificate, which may take several hours due to time zone differences [3].

Core Viewpoint - Neuralink's recent presentation showcased significant advancements in brain-machine interface technology, with a bold three-year roadmap aiming to enhance human capabilities and integrate AI with human consciousness by 2028 [2][11]. Group 1: Current Developments - Neuralink has successfully implanted devices in seven individuals, allowing them to interact with the physical world through thought, including playing video games and controlling robotic arms [4][11]. - The N1 implant enables individuals with severe disabilities, such as spinal cord injuries, to regain control over their environment, exemplified by a participant who can now play games and design 3D parts using CAD software [14][21]. Group 2: Future Goals - The ultimate goal of Neuralink is to create a full-brain interface that allows for high-bandwidth communication between the human brain and external machines, potentially transforming human interaction and capabilities [60][63]. - The three-year plan includes milestones such as implanting devices in the speech cortex to decode conscious words by Q4 2025, increasing electrode counts to 25,000 by 2028, and achieving multi-device implants for comprehensive brain access [75][78]. Group 3: Technological Innovations - The second-generation surgical robot has improved the speed of electrode implantation from 17 seconds to just 1.5 seconds per electrode, enhancing the efficiency of the procedure [80][82]. - Neuralink's N1 implant introduces a new mode of brain data transmission, effectively linking human neural networks to machine learning models, which could revolutionize human-computer interaction [83][84].

Core Insights - The article reflects on the missed opportunity of creating a photo-sharing platform similar to Instagram, highlighting the importance of execution and timing in the tech industry [1][4][47]. Technical Architecture - Instagram's initial architecture was designed to be simple, avoiding reinventing the wheel and utilizing reliable technologies [9][7]. - The application was built on Amazon EC2 and Ubuntu Linux, with a focus on scalability and performance [6][7]. User Session Management - User sessions begin when the Instagram app is opened, sending requests to a load balancer that distributes traffic to application servers [10][14]. - Initially, Instagram used two Nginx servers for load balancing, later upgrading to Amazon's Elastic Load Balancer for better reliability [15]. Data Storage and Management - Instagram utilized PostgreSQL for storing user and photo metadata, implementing sharding to manage the large volume of data generated by user activity [21][23]. - The photo storage solution involved Amazon S3 and CloudFront, enabling efficient distribution of images globally [28]. Caching and Performance Optimization - Redis was initially used for mapping photo IDs to user IDs, with optimizations reducing memory usage significantly [30]. - Memcached was employed for session caching, ensuring quick access to frequently used data [31]. Monitoring and Error Handling - Instagram implemented Sentry for real-time error monitoring and used Munin for tracking system metrics, allowing for proactive issue resolution [39][40]. - External service monitoring was managed through Pingdom, with PagerDuty handling event notifications [41]. Reflection on Market Timing - The article emphasizes that the founders' lack of experience with modern technologies and cloud services at the time hindered their ability to capitalize on the emerging market [43][46]. - It concludes that many opportunities may be missed due to a lack of insider knowledge and market readiness [49].

Core Viewpoint - The release of DeepSeek-R2 has been delayed due to CEO Liang Wenfeng's dissatisfaction with its performance and a shortage of Nvidia H20 chips, which are critical for its development [1][2][4]. Group 1: Development Timeline - The anticipation for R2 began after the release of the DeepSeek-V3 model in December last year, which was considered a benchmark for cost-performance [5]. - Initial expectations suggested that R2 would be launched in April, following the upgrade of V3 on March 24 [11]. - Despite the release of a paper on inference scaling in April, there has been no official update on R2's launch [12][16]. Group 2: Technical Specifications - R1's training utilized 30,000 H20 chips, 10,000 H800 chips, and 10,000 H100 chips, indicating the significant computational resources required for R2 [3]. - Leaked parameters for R2 suggested it would have 1.2 trillion parameters and utilize 5.2 petabytes of training data, raising questions about its hardware requirements [17]. Group 3: Community Reactions - Following the news of the delay, community responses varied, with some expressing belief that the delay would be worthwhile, while others speculated that R2 might wait for the release of V4 [26][28].