Core Viewpoint - The article discusses the limitations of file transfer in popular applications like WeChat and introduces QQ's new feature, "Flash Transfer," which significantly enhances file sharing capabilities. Group 1: File Transfer Limitations - WeChat has a file transfer limit of 200MB, making it difficult to share large files such as high-definition videos or comprehensive project documents [2][3]. - Users often face frustration when attempting to share files exceeding this limit, highlighting a significant drawback in WeChat's functionality [2]. Group 2: QQ Flash Transfer Feature - QQ has introduced a new feature called "Flash Transfer," which allows users to send files up to 10GB in size, vastly surpassing WeChat's limitations [3][5]. - The feature is available in the latest versions of QQ for both Windows (9.9.19) and Mac (6.9.73) [3]. Group 3: Transfer Characteristics - The transfer process in QQ Flash Transfer has no speed limitations, claiming to be over five times faster than traditional methods, benefiting both sender and receiver [6]. - Users can share files across applications, with links valid for 7 days, although custom link expiration is not yet available [6]. Group 4: Online Viewing and Accessibility - The feature supports "instant opening" for various file types, allowing users to view files online without downloading them [7]. - Users can download files without needing to log into QQ, enhancing accessibility [7]. Group 5: User Accessibility - QQ Flash Transfer is available for all users without VIP restrictions, allowing free usage for anyone in need of large file transfers [9].

5 月 31 日，余承东在某大会上公开提到： 大家看到，我们从其他行业来的，这个公司只做一款车，就卖爆了，虽然他的产品可能不是那么好，但 是都已经能卖得很爆啊，无论他的质量，甚至他的这个智驾能力都很……就因为他有强大的品牌能力、 流量能力。 就是今年新媒体，这个互联网社交网络时代，强大的营销能力、强大的品牌能力。所以他的一个产品哐 就能打爆。我们做的产品，你做得比他还好，质量好、体验好、性能好，各方面都好，你还卖不过他， 你甚至还卖不过他的零头，这就是在今天这个时代，没办法。 虽然余承东没有指名道姓，但外界普遍认为他是在暗讽小米汽车，尤其是小米 SU7 的成功。 虽然是放假，貌似不影响大厂之间的"打嘴炮"。 上午刷一下微博，结果就看到这两条热搜： 针对余的这段说法，小米两位高管都已下场回应。 这个瓜是这样的 31 日晚上，小米集团总裁卢伟隔空回应了： 不论是SU7的卖爆，还是YU7获得比SU7更高的关注和期待，都是以强大的产品力为基础。本着"十倍投 入做一辆好车"的决心，获得千万网友的严选而胜出！ 还是那句话，小米汽车的成功，是小米价值观，小米模式，和小米方法论的成功！ 莫言说:诋毁，本身就是一种仰望。 还配 ...

Core Viewpoint - DeepSeek has officially announced the completion of the R1-0528 upgrade, which significantly enhances its model performance, making it a leading open-source AI model and the second-largest AI laboratory globally [1][9][46]. Performance Enhancements - The upgraded DeepSeek-R1-0528 model exhibits performance comparable to top models like o3 and Gemini 2.5 Pro in various benchmark tests, particularly in mathematics, programming, and general logic [2][15]. - The model's accuracy in complex reasoning tasks has improved significantly, with AIME 2025 test accuracy rising from 70% to 87.5% [16]. - In benchmark tests, DeepSeek-R1-0528 achieved notable scores, such as 91.4% in AIME 2024 and 87.5% in AIME 2025 [17]. Reduction in Hallucination Rate - The hallucination rate of DeepSeek-R1-0528 has been reduced by 45%-50% compared to its predecessor, addressing previous concerns about high hallucination rates [20][24]. - This improvement allows the model to provide more accurate and reliable results in tasks such as summarization and reading comprehension [25][26]. Enhanced Functionality - DeepSeek-R1-0528 supports tool calls, enabling it to summarize articles by fetching content from links, achieving competitive scores in Tau-Bench [31]. - The model's front-end code generation capabilities have been enhanced, allowing for the rapid creation of applications with comprehensive features [33]. Distillation of Qwen3-8B - Alongside the R1 upgrade, DeepSeek has distilled the R1-0528 model's reasoning chain into a new version, DeepSeek-R1-0528-Qwen3-8B, which shows strong performance in mathematical tests, surpassing Qwen3-8B [6][37]. - The Qwen3-8B model, despite having significantly fewer parameters, demonstrates competitive performance, indicating the effectiveness of the distillation process [38]. Industry Positioning - Following the R1 upgrade, DeepSeek has been recognized as the second-largest AI laboratory globally, surpassing competitors like xAI, Meta, and Anthropic [44][46]. - The model's intelligence index score has increased from 60 to 68, reflecting a significant advancement comparable to OpenAI's improvements [46][47].

Core Viewpoint - The article discusses the superiority of human capabilities over large language models (LLMs), highlighting a recent demonstration by the creator of Redis, suggesting a resurgence of human potential in various fields [1]. Group 1 - The article emphasizes the importance of human skills and creativity in contrast to artificial intelligence [1]. - It references a visual representation that humorously suggests a movement to enhance human capabilities, titled "Make Human Great Again" [1].

Core Viewpoint - The company initially adopted Rust for its advantages in speed, safety, and modernity, but ultimately banned its use due to the discomfort it caused within the organization by exposing inefficiencies and raising performance expectations [1][22][28]. Group 1: Initial Adoption of Rust - Rust was seen as an ideal choice for the company, promising rapid development and safety features [2][6]. - The first service rewritten in Rust was a high-traffic application that had significant memory leak issues, which Rust effectively resolved, leading to impressive performance metrics [7][17]. Group 2: Consequences of Using Rust - The development speed increased dramatically, with new features being developed in just three months, which was deemed unacceptable by management [10]. - The ease of hiring Rust developers led to an influx of highly qualified candidates, making existing engineers feel inadequate [12][14]. - The internal toolchain was found lacking compared to Rust's ecosystem, highlighting organizational inefficiencies [15][16]. Group 3: Organizational Response - The CTO held a meeting questioning if the company would still be bogged down by bugs and technical debt without Rust, leading to a decision to ban its use [20][21]. - The decision was framed as a response to Rust's ability to expose the company's inefficiencies and elevate performance standards that the organization was not ready to meet [22][28]. Group 4: Aftermath and Reflection - Following the ban, 90% of services reverted to using Go, which was seen as adequately slow and safe, aligning with the company's strategic approach to managing technical debt [23]. - The company expressed regret over the decision only when stability was desired, indicating a complex relationship with the efficiency Rust brought [25][26].

Core Viewpoint - The article emphasizes that human programmers possess superior capabilities compared to large language models (LLMs), despite the usefulness of AI tools in assisting with programming tasks [3][10]. Group 1: Human vs. AI Capabilities - The article discusses a scenario where a complex bug in Redis was addressed, highlighting the limitations of LLMs in generating innovative solutions compared to human creativity [5][10]. - It is noted that while LLMs can assist in problem-solving, they often lack the ability to think outside conventional frameworks, which is a significant advantage of human programmers [10]. Group 2: Practical Applications of LLMs - The author shares experiences of using LLMs for code review and idea validation, indicating that these tools can enhance productivity but cannot fully replace the nuanced understanding required in software engineering [3][10]. - The article mentions that LLMs can serve as a sounding board for ideas, providing feedback that can help refine thought processes [13]. Group 3: Software Engineering Complexity - The article points out that software engineering encompasses much more than just coding, including understanding client needs and requirements, which LLMs are currently ill-equipped to handle [14]. - It emphasizes the social attributes of software engineering, where human interaction and comprehension of client demands play a crucial role [14].

Core Viewpoint - The article highlights the health risks associated with frequent consumption of takeout food, emphasizing the negative impact of unhealthy ingredients and plastic packaging on cardiovascular health [1][2][3]. Group 1: Health Risks of Takeout Food - A case study of a 34-year-old man who consumed takeout 2.5 times daily revealed severe health issues, including high blood pressure and elevated "bad cholesterol" levels, leading to a need for lifelong medication [2]. - Research indicates that frequent exposure to plastic products, such as takeout containers, is linked to a 13% increased risk of congestive heart failure, and animal studies show that these containers can alter gut microbiota, causing inflammation and oxidative stress [2][4]. - Long-term exposure to chemicals from plastic packaging can lead to chronic inflammation in blood vessels, increasing the incidence of carotid plaques by 1.8 times compared to the normal population [5]. Group 2: Nutritional Concerns - Takeout meals often contain excessive amounts of fats, with an average of 45 grams of oil per serving, exceeding daily recommended limits by 50%, which can promote the accumulation of "bad cholesterol" [6]. - High sodium content in takeout food, such as 8.6 grams of salt in a bowl of spicy sour noodles, can lead to increased blood pressure and a 30% higher risk of stroke for every 10 mmHg increase [6]. - The lack of vegetables in takeout orders, with leafy greens making up less than 12% of total orders, results in a significant deficiency of heart-protective nutrients like magnesium and potassium [7]. Group 3: Mitigation Strategies - The article proposes a "three-tier defense system" to minimize health risks when consuming takeout food, including choosing lower oil and salt options, rinsing oily dishes, and preparing meals at home on weekends [9]. - It is recommended to select takeout items labeled as "low oil" or "light salt," and to request separate packaging for sauces to reduce hidden sodium intake [9]. - For high-risk individuals, using wearable devices to monitor heart rate fluctuations after meals is advised [9].

Group 1 - The incident involved a potential attack on the official website of Iveco (China), where inappropriate content appeared in search engine results instead of the expected company information [1] - Although the website's internal content did not display any inappropriate material, it experienced slow loading times, and attempts to contact the provided phone number went unanswered [3] - By the morning of May 28, the website had been restored, but it was no longer searchable on many search engines [4]

Core Points - Apple plans to rename all its operating systems to a year-based naming convention instead of version numbers, aiming for consistency across its product lines [2] - The new naming system will see iOS, iPadOS, macOS, tvOS, watchOS, and visionOS all referred to by the same year, with iOS 26 set to replace iOS 19, and similar changes for other systems [2] - This change reflects Apple's commitment to creating a unified design language across different devices, with the new design style from visionOS being applied to other operating systems [2] - The official announcement of this new naming scheme is expected at the WWDC event on June 9 [2]

此前，马斯克已多次表示会减少"政府效率部"工作，将重心转回企业运营。分析认为，马斯克离任后专注企业 事务，或对特斯拉等企业发展产生积极影响。 5 月 29 日 ，马斯克通过社交媒体宣布，其作为特朗普政府"特殊政府雇员"的任期结束。马斯克在帖文中向特 朗普总统致谢，称感谢其给予机会来削减政府浪费性支出 。 他还表示，政府效率部（DOGE）的使命将随时间推移不断强化，会成为整个政府体系中的一种运作模式。 今年 1 月，特朗普签署行政令成立由马斯克执掌的"政府效率部"，旨在推动联邦政府大规模结构性改革，涵盖 人事改革、盘活闲置资产等方面。 但近期马斯克与特朗普在联邦财政政策上出现分歧，例如马斯克不满国会众议院通过的大规模税收与支出法 案，认为其增加联邦赤字，与"政府效率部"目标相悖 。 此外，按照美国相关规定，"特殊政府雇员"一年内任期不得超过 130 天，从 1 月 20 日起算，马斯克任期最晚 于 5 月底结束。 2、 突发！美国对中国断供 EDA。网友：真卡脖子 3、 好家伙！全女编程语言来了。网友：代码行末尾居然不是"啊啊啊…" - EOF - 推荐阅读 点击标题可跳转 1、 马斯克再次开启 7x24 工作 ...