Core Viewpoint - The Batch Normalization paper, published in 2015, has been awarded the Time-Tested Award at ICML 2025, highlighting its significant impact on deep learning and its widespread adoption in the field [1][2]. Group 1: Impact and Significance - The Batch Normalization paper has been cited over 60,000 times, marking it as a milestone in the history of deep learning [2][4]. - It has been a key technology that enabled deep learning to transition from small-scale experiments to large-scale practical applications [3][4]. - The introduction of Batch Normalization has drastically accelerated the training of deep neural networks, allowing models to achieve the same accuracy with significantly fewer training steps [13][14]. Group 2: Challenges Addressed - In 2015, deep learning faced challenges with training deep neural networks, which became unstable as the number of layers increased [5][6]. - Researchers identified that the internal data distribution of network nodes changed during training, leading to difficulties in model training [11][12]. - Batch Normalization addresses this issue by normalizing the data distribution of hidden layers, thus stabilizing the training process [12][14]. Group 3: Theoretical Developments - Initial theories surrounding Batch Normalization were challenged in 2018, revealing that it not only accelerated training but also made the optimization landscape smoother, enhancing gradient predictability and stability [22][24]. - New research suggests that Batch Normalization functions as an unsupervised learning technique, allowing networks to adapt to the inherent structure of data from the start of training [25][26]. Group 4: Authors' Current Endeavors - The authors of the Batch Normalization paper, Sergey Ioffe and Christian Szegedy, have continued their careers in AI, with Szegedy joining xAI and Ioffe following suit [30][31]. - Szegedy has since moved to Morph Labs, focusing on achieving "verifiable superintelligence" [33].

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Core Viewpoint - The article highlights the ongoing turmoil within Roma Shi, a company facing significant operational and financial challenges, leading to employee unrest and calls for accountability from its leadership [1][2][3]. Company Operations and Financials - Roma Shi's monthly sales are approximately 200 million yuan, but the actual cash flow is less due to automatic deductions for costs, including payments to suppliers and employee salaries [3][4]. - The company has reportedly run out of cash, primarily due to payments made to suppliers in early June, amounting to tens of millions, and subsequent financial issues related to product recalls [5]. - The company's leadership, particularly the five core owners, have been accused of misusing company funds for personal investments, such as real estate and vehicles, while failing to address the financial crisis [2][5]. Leadership and Corporate Structure - Roma Shi has two main shareholders, Lei Guibin and Lei Canhuo, each holding 50% of the company [6]. - The company has undergone multiple changes in legal representatives and has faced numerous legal challenges, indicating potential governance issues [7][26]. Employee Situation - Following the recall of defective products, employees have been reassigned to customer service roles, but the company abruptly announced a six-month shutdown, leading to widespread dissatisfaction [19][22]. - Employees are concerned about their financial futures, as the company plans to pay only 80% of the local minimum wage during the shutdown, which is insufficient for living expenses [20][25]. - The shutdown process has been criticized for lacking proper communication and legal compliance, as employees were not adequately informed or consulted [26][27]. Market Presence and Sales Performance - Roma Shi initially gained market traction by offering high-capacity power banks at significantly lower prices than competitors, achieving substantial sales during events like "Double 11" [11][13]. - At its peak, the company sold over 50 million units annually and generated revenue exceeding 2 billion yuan, with products distributed in over 80 countries [14]. Product Quality and Recalls - The company has faced severe quality control issues due to its reliance on low-cost components, leading to a major recall of 490,000 power banks in June 2025 [16][17]. - The recalls have severely impacted the company's operations, resulting in a complete halt of production and sales on most online platforms [28].

Core Viewpoint - The article discusses the recent hiring of Lu Liu and Allan Jabri from OpenAI by Meta, highlighting the strategic move by Meta to bolster its AI capabilities and regain trust after the Llama 4 release. Group 1: Lu Liu's Background and Achievements - Lu Liu, a notable researcher, previously worked at OpenAI where she led the development of the popular "Ghibli style" image generation feature, which gained over 130 million users and generated more than 700 million images in its first ten days [24][28]. - Liu graduated with a GPA of 3.84 from South China University of Technology and has a strong academic background, including a PhD in machine learning from the University of Technology Sydney [9][13]. - Her research focuses on meta-learning, few-shot learning, and graph neural networks, with significant contributions to privacy-preserving applications in edge computing [14][20]. Group 2: Meta's Strategic Moves - Meta is aggressively recruiting talent from OpenAI, with a focus on individuals who have a strong background in AI research, particularly those involved in the development of advanced models like GPT-4o [6][37]. - The hiring of Liu and Jabri is part of a broader strategy by Meta to enhance its AI capabilities and achieve its open-source goals, potentially ahead of the release of GPT-5 [7][22]. - The article notes that Meta's "superintelligent lab" now includes a significant number of researchers from OpenAI, indicating a targeted effort to consolidate AI talent [38]. Group 3: Industry Implications - The article suggests that Meta's recruitment strategy may reflect broader challenges within OpenAI to retain top talent, as evidenced by the ongoing departures of key researchers [39][40]. - The competitive landscape in AI research is intensifying, with companies like Meta actively seeking to acquire expertise from leading organizations to strengthen their positions in the market [37][41].

iOS 微信 8.0.61 内测版还悄悄新增与好友聊天发送实况图片功能，用户可在对话框点击【+】 - >【照片】选择对应实况图片进行发送。 综合各大平台用户反馈，iOS 微信 8.0.61 版本新增支持 微 信 聊 天 记 录 误 删 撤 销 功 能 ， 避 免"手滑删错"。 对此，腾讯客服表示，这是微信为了防止误操作而提供的功能。左滑删除单个好友或群聊天记录 时，系统会显示删除弹窗提醒，用户可以在 5 秒内撤销删除，相应功能 目前尚未全面开放，iOS 设备已更新至 8.0.61 及以上版本的部分机型支持， 其他设备暂未开放。 腾讯提醒，务必定期通过电脑微信的迁移与备份功能备份重要数据，避免再次丢失，请勿相信第 三方恢复软件，谨防受骗。 来自IT之家 ...

在一片 裁员降薪 的风潮中， AI算法岗 可以说是 一枝独秀 。目前AI竞赛已进入 "千亿级投入" 阶 段，增加了大量 AI和算法 的岗位，薪资待遇也是水涨船高。据统计，很多算法岗薪资比往年 提 高50% ，大批 前 后端程序员 准备进军 AI算法 领域。 80% 新增技术岗要求 AI能力 （如 大模型开发 、RAG架构） 从事AI岗位的开发者平均年薪达 40万+ ，而传统前后端还停留在 20万 区间 AI已能独立完成 代码生成 、调试等任务 ··· 当下新时代来临，DeepSeek宛如一颗璀璨的新星，在行业内掀起了阵阵热潮。如今，这股强劲的 AI之风 ，终究还是吹到了 后端 ，既是风险，也是 机遇 。 传统CRUD开发岗位 缩减30% 对于正在 求职，转型 的各位同学来说， 现在就是 应聘算法岗的红利期 ，目前后端岗位已经饱和， 而算法岗却供不应求，缺乏大量人才。 市场上很多算法岗的起薪都达到 25-30k ， 而这个薪资已经 是很多 前后端岗的天花板 了。 为解决大家快速转型到算法领域， 我在这里给大家推荐一个《 算法工程师培养计划 》， 该课程 计划由 12位年薪百万以上 顶级技术专家 联合打造研发，他 ...

Group 1 - The article discusses the impressive planning and organizational skills of individuals with a "J" personality type, highlighting their ability to create detailed plans for activities such as travel [1][3][6] - A specific example is provided where a friend created an extensive Excel sheet detailing outdoor equipment, hotel prices, and travel logistics, showcasing the meticulous nature of "J" individuals [3][6] - The author expresses admiration for the efficiency and thoroughness of "J" individuals, suggesting that their approach can save others from unnecessary mental effort [3][16] Group 2 - The article includes a mention of a wish list related to interests, indicating a structured approach to personal goals and desires [2][7] - There is a reference to a travel wish list for 2025, which further emphasizes the forward-thinking and planning mindset of "J" individuals [4][6] - The content suggests that having friends with "J" traits can be beneficial, as they often take the lead in organizing activities and making plans [3][16]

Core Viewpoint - The article discusses the operational challenges faced by Romoss, including product recalls and employee layoffs, highlighting the safety concerns related to their power bank products and the impact on their business operations [1][7][10]. Group 1: Company Operations - Romoss has closed its official flagship stores on major e-commerce platforms like Tmall, Taobao, and Pinduoduo, with only the self-operated store on JD remaining [1]. - The company issued a "work stoppage and production suspension notice," effective from July 7, 2025, for a duration of six months, affecting most employees except for those recalled [3]. - During the first month of the work stoppage, Romoss will pay employees their regular wages, but from the second month onward, they will only receive 80% of the local minimum wage as living expenses [4]. Group 2: Product Recalls - Romoss announced a recall of 491,745 units of specific models of their ROMOSS brand power banks manufactured between June 5, 2023, and July 31, 2024, due to safety concerns [5]. - Over 1.2 million power banks have been recalled across brands, including Romoss and Anker, due to issues with battery cells that could lead to overheating and potential fire hazards [6][7]. - The recall was prompted by problems with battery cells supplied by upstream manufacturers, which were found to have inconsistencies in materials leading to safety risks [7][10]. Group 3: Regulatory Actions - The market regulatory authority has suspended or revoked multiple CCC certifications for the lithium battery supplier of Romoss, affecting their ability to sell products [9][10]. - As of July 3, the market regulatory authority has suspended 5,269 CCC certificates related to power banks and revoked 343, indicating a significant regulatory crackdown on safety compliance in the industry [11].

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