转自：CSDN（ID：CSDNnews） 一边在课堂 上学算 法，一边在宿舍里写诈骗工具；白天是工科大学生，晚上是 Telegram 黑产"售 后客服"——这是英国一位年仅 21 岁的大学生的真实人生。 他没有用编程去构建 App，也没去投身创业，而是开发并出售可复用的"钓鱼工具包"：只需简单几 步，任何"菜鸟诈骗者"都能一键生成假冒网站，诱导受害者上钩。最终，这些工具被用于遍布全球 的网络诈骗，给受害者带来超过 1 亿英镑（约合人民币 9.5 亿元）的损失。 而这个" 技术型 诈骗合伙人"，就是来自伦敦的 Ollie Holman —— 他曾是英国肯特大学的电子与 计算机工程专业学生，如今因七 项罪名成立，被判处了 7 年监禁，并面临高额非法所得追缴。 （ Ollie Holman ） "天才少年"还是"诈骗合伙人"？一场从大学宿舍发起的全球诈骗 现年 2 1 岁 的 Ollie Holman 来自 英国 伦敦西北 部的 Eastcote ， 如开头所说 ， 案件曝光时 Ollie Holman 就读于英国肯特大学， 专业是电子与计算机工程 —— 掌握前沿技术、年纪轻 轻、动手能力强，这 些 本应是 Oll ...

Core Viewpoint - Microsoft has transformed its Edge browser into an AI assistant with the introduction of the "Copilot mode," marking a significant shift in how users interact with the web [1][24]. Group 1: Features of Copilot Mode - The Copilot mode allows the Edge browser to function as an AI agent, capable of reading and analyzing multiple open tabs simultaneously to perform complex tasks [3][15]. - Users can interact with Copilot through a simplified interface resembling a chat window, enabling direct input of URLs, search queries, or conversational prompts [6][7]. - Copilot can understand user intent, whether it involves searching, chatting, or navigating, enhancing the browsing experience [8][10]. - The AI can group tabs for better organization, helping users maintain focus and quickly locate needed content [12]. Group 2: Future Developments - Upcoming features include a "thematic journey" function that organizes past and present browsing activities into a cohesive learning path, suggesting next steps based on user research topics [17]. - Future plans involve enabling Copilot to perform tasks such as restaurant reservations, itinerary management, and shopping, contingent on user authorization [20]. Group 3: Market Implications - Microsoft's move is a direct challenge to Google Chrome, which has dominated the browser market with over 60% share, while Chrome's integration of AI features remains less aggressive [24][25]. - The introduction of AI capabilities in browsers may lead to a shift in business models, with speculation that future AI features could be bundled with subscription services, indicating a potential end to free browser software [29][31]. - The evolution of browsing from a traditional model to an AI-driven experience suggests a fundamental change in user interaction with the web, moving towards a more intelligent assistant-like role [32][34].

Core Viewpoint - The article discusses a significant corruption case involving a senior executive from a major internet company in Shanghai, specifically related to bribery in logistics operations, highlighting the systemic issues within the industry and the implications for corporate governance [1][3]. Group 1: Case Details - On July 24, Shanghai police reported the arrest of seven individuals involved in a bribery case, with the total amount exceeding 40 million yuan (approximately 5.6 million USD) [1]. - The case centers around Han Liu, a former logistics supervisor at Ele.me, who was implicated in accepting bribes from suppliers in exchange for favorable treatment in securing logistics delivery qualifications across multiple cities [1][3]. - The investigation revealed that Han and two accomplices received bribes over 30 times within two years, totaling over 40 million yuan [1][3]. Group 2: Supplier Dynamics - Suppliers engaged in bribery either sought to retain their qualifications due to poor performance or aimed to improve their business conditions by gaining preferential treatment [3]. - Han and his associates exploited their positions to provide business advantages to those who bribed them, further entrenching corrupt practices within the logistics sector [3]. Group 3: Company Response - In June 2023, Ele.me acknowledged the investigation into Han Liu, stating that the company had conducted an internal review and reported the findings to law enforcement [5]. - The company emphasized its commitment to integrity and compliance, indicating a zero-tolerance policy towards unethical behavior [5]. Group 4: Executive Background - Han Liu, born in the 1980s, previously worked at JD.com and joined Alibaba in 2019, eventually becoming the CEO of Ele.me in March 2024 before being reassigned in February 2025 [6].

Core Viewpoint - The lawsuit initiated by a player against Tencent's "Honor of Kings" aims to demand transparency regarding the game's matchmaking algorithm, raising concerns about fairness and player retention strategies [1][2][4]. Group 1: Lawsuit Background - The plaintiff, Ms. Sun, has been a dedicated player of "Honor of Kings" for several years and has experienced significant disparities in matchmaking, leading to frustration and a sense of being controlled by the algorithm [1][2]. - Ms. Sun filed the lawsuit on June 18, 2024, and received a notice of acceptance after 246 days, highlighting the lengthy legal process involved [2]. Group 2: Legal Claims - The lawsuit claims that under the Consumer Rights Protection Law, players have the right to know how the game matches them with teammates and opponents, which is currently not disclosed by the game [2][3]. - Ms. Sun requests the court to mandate Tencent to reveal the specific factors influencing matchmaking and their respective weights across different game modes [3]. Group 3: Industry Implications - The case is unprecedented in China, and Ms. Sun hopes it will draw attention from lawmakers and industry professionals to the issue of algorithm fairness in gaming, which is a significant sector in the country [4].

Core Viewpoint - Meta is aggressively recruiting top AI talent, emphasizing the importance of computational resources and small teams over high salaries in attracting researchers [1][2][11]. Group 1: Recruitment Strategy - Meta's recruitment strategy focuses on attracting top researchers by offering them the opportunity to work with minimal team members and maximum computational power [2][11]. - The company aims to ensure that it can connect with all top researchers in the industry for potential collaborations in the future [4][65]. - Meta's recruitment is not targeted against specific competitors but is part of a broader strategy to build a strong AI research team [4][65]. Group 2: Vision for AI - Meta's vision for "personal superintelligence" aims to empower individuals by addressing their daily concerns, such as relationships and creativity, rather than just productivity [4][6][21]. - This vision contrasts with other companies like OpenAI and Google, which focus on broader, centralized AI solutions [4][13][19]. - The company believes that AI will evolve in various directions and does not subscribe to a "winner-takes-all" mentality [6][13]. Group 3: Capital Expenditure Strategy - Meta is investing heavily in building one of the largest computational clusters globally, funded entirely by its cash flow, which provides a competitive advantage [5][44]. - The company is constructing multiple multi-gigawatt data centers, with the Hyperion project expected to expand to 5GW in the coming years [47][50]. - Meta's approach to building data centers has evolved to be more efficient, utilizing innovative methods to expedite construction [46][44]. Group 4: Future of AI Development - The company is witnessing early signs of "self-similarity" in its models, indicating significant advancements in AI capabilities [10][34]. - Meta's focus on developing AI technologies is expected to lead to transformative changes in both user-facing products and internal software development processes [32][33]. - The integration of AI into everyday life, such as through smart glasses, is seen as a key area for future development [24][30].

Core Viewpoint - The article emphasizes the transformative impact of AI technology on the job market for programmers, highlighting the urgent need for professionals to adapt to new AI-driven roles and skills to avoid career obsolescence [1]. Group 1: Industry Trends - Major companies like Alibaba Cloud, ByteDance, Tencent, JD.com, and Baidu are integrating AI capabilities into their core operations, with a significant portion of job openings (80%) related to AI [1]. - Traditional programming skills are becoming less relevant, as the demand shifts towards expertise in AI model development and application [1]. - The job market is witnessing a stark contrast, with traditional roles shrinking while AI-related positions are expanding, leading to salary increases of up to 150% for AI roles [1]. Group 2: Training and Development - A free training program titled "AI Model Application Development Practical Training Camp" is being offered to help professionals acquire essential AI skills [2][3]. - The program aims to cover AI model principles, practical applications, and career development strategies, providing participants with hands-on experience [3][11]. - The course includes insights from industry leaders and offers opportunities for direct referrals to major companies, enhancing participants' job prospects [12][14]. Group 3: Skills and Competencies - Key skills highlighted include understanding AI model architecture, fine-tuning techniques, and the ability to implement AI solutions in various business scenarios [6][9]. - The training emphasizes the importance of practical project experience, which is becoming a critical requirement for job applications in the AI field [11][12]. - Participants will learn to leverage AI technologies to improve business processes and create value, positioning themselves as competitive candidates in the evolving job market [11][14].

Core Viewpoint - The closure of AWS Shanghai AI Research Institute marks the end of AWS's overseas research facilities, reflecting broader trends in the tech industry regarding restructuring and resource optimization in response to strategic evaluations [1][3]. Group 1: AWS Shanghai AI Research Institute Closure - AWS Shanghai AI Research Institute was officially disbanded on July 22, 2023, as announced by its chief applied scientist, Wang Minjie [1]. - The institute was established in September 2018 during the World Artificial Intelligence Conference (WAIC) and was AWS's first AI research facility in the Asia-Pacific region [1][2]. - The closure is part of a larger trend, as Amazon has been implementing a workforce restructuring plan affecting multiple departments within AWS, resulting in layoffs impacting hundreds of positions [3]. Group 2: Research Focus and Contributions - The institute specialized in various core areas, including natural language processing, graph neural networks (GNN), and large-scale machine learning systems [2]. - It led the development of the open-source project Deep Graph Library (DGL), which has significant influence in the GNN field and is compatible with major deep learning frameworks like PyTorch, Apache MXNet, and TensorFlow [2]. Group 3: Industry Trends - The closure of AWS's research institute aligns with similar actions taken by other tech giants in China due to geopolitical factors, including IBM's decision to close its R&D department in China and Microsoft's shutdown of its AI lab in Shanghai [4].

Core Viewpoint - The article discusses a historical event from 2017 involving a discussion between prominent figures in the tech industry, highlighting the relationship between Tencent and its server infrastructure, particularly in the context of Chinese manufacturing versus American sourcing [1][3]. Group 1: Event Context - The event took place on April 20, 2017, during the "Internet Plus" Digital Economy Summit in Hangzhou, co-hosted by the Zhejiang Provincial Economic and Information Technology Commission and Tencent [1]. - Key figures present included Tencent's Ma Huateng, Wahaha's Zong Qinghou, Lenovo's Yang Yuanqing, and financial writer Wu Xiaobo, who discussed the empowerment of economic transformation through the internet [1]. Group 2: Discussion Highlights - Zong Qinghou questioned Ma Huateng about the location of Tencent's servers, specifically whether they were in China or the United States [4]. - Wu Xiaobo interjected, confirming that Tencent's servers are located in China [4]. - Zong Qinghou further inquired about the origin of the servers, asking if they were made in China or the U.S., to which Yang Yuanqing responded that many of Tencent's servers are from Lenovo [6].

Core Viewpoint - The article highlights the increasing challenges and costs associated with Oracle's Java compliance audits, leading many organizations to consider migrating to open-source alternatives like OpenJDK due to financial pressures and the complexity of compliance management [1][12][21]. Compliance Challenges - 73% of companies have faced Oracle-initiated Java compliance audits in the past three years [1]. - 37% of respondents identify managing software licenses as their biggest challenge, while 36% struggle with discovering software licenses [4]. - 29% attribute compliance issues to the complexity of software development environments, making it difficult to track license usage across various platforms [5]. Financial Impact - Over 54% of organizations spend more than $100,000 annually to resolve licensing non-compliance issues, with 27% spending over $500,000 [6]. - The costs associated with compliance include not only fines but also the time and resources spent on audits and purchasing additional licenses [6][8]. Migration to Open Source - 79% of respondents have migrated to or plan to migrate to OpenJDK alternatives, with only 14% intending to continue using Oracle Java subscriptions [13][19]. - 15% have completed their migration, while 22% have started, and 25% are actively planning [15]. - The primary motivations for migrating include security and reliability (51%) and cost reduction (42%) [17]. Cost Comparison - More than two-thirds of respondents estimate they can save at least 40% on Java licensing costs after migrating to open-source solutions [23]. - Only 4% of respondents are unconcerned about Oracle's pricing and licensing policies [21]. Ongoing Compliance Awareness - Even after migrating to open-source, organizations must remain vigilant about Oracle Java usage, as over 75% of respondents undergo at least two compliance checks annually [25]. - Many companies are questioning the fairness of Oracle's licensing model due to the increasing costs and audit pressures [26].

Core Viewpoint - The article emphasizes the importance of integrating existing programming skills with large model technologies to enhance career prospects and salary opportunities in the AI field [1]. Group 1: Course Offerings - A course titled "Large Model Application Development Practical Training" is designed to help developers master the complete AI application development process through practical projects and code breakdown [1]. - The course covers essential technologies such as RAG, AI Agent, and Transformer architecture, providing a comprehensive learning path from basics to advanced applications [8]. - The course has served over 20,000 students and has received positive feedback, with many participants securing high-paying job offers [10]. Group 2: Learning Outcomes - Participants will learn to fine-tune mainstream large models like DeepSeek and Qwen for specific scenarios, improving model performance and task accuracy [10]. - The course includes practical applications of RAG technology for efficient knowledge retrieval and generation in various sectors such as law, healthcare, and finance [10]. - Students will also learn to design and develop AI Agents for multi-task collaboration and complex problem-solving in industry-specific contexts [10]. Group 3: Career Development - The course aims to help participants build technical barriers, avoid job insecurity, and enhance their career development over the next 20 years [12]. - It offers insights into current job market trends, salary expectations, and career paths from the perspective of hiring managers [19]. - The program provides reliable internal referral opportunities and direct hiring benefits, facilitating quicker access to high-paying job offers [19].