Core Viewpoint - The article highlights the challenges faced by students in programming courses, particularly those using outdated technology, and emphasizes the importance of adaptability and resourcefulness in learning programming skills. Group 1: Student Experience - A student from Xi'an University of Electronic Science and Technology faced difficulties with a second-hand computer that could not run code efficiently, leading her to write programs by hand in a notebook [1][4]. - The reliance on traditional methods, such as using paper and pen for coding, reflects a struggle against the limitations of technology in a digital age [2][6]. Group 2: Community Reactions - Online reactions to the article included humorous and relatable comments from users who resonated with the struggles of learning programming without adequate resources [8]. - Suggestions from the community included affordable alternatives for students, such as purchasing a Raspberry Pi for programming tasks, indicating a shared understanding of the challenges faced by students [8]. Group 3: Professional Insights - The article references a past incident involving a well-known case of a programmer who managed to write 300,000 lines of code in a month, illustrating the dedication and effort required in the programming field [10].

Core Viewpoint - The article discusses a new U.S. government policy requiring NVIDIA and AMD to pay 15% of their revenue from specific AI chip sales in China as a licensing fee to obtain export licenses, marking an unprecedented approach in U.S.-China trade relations [3][5]. Group 1: Revenue Sharing Model - NVIDIA and AMD must pay 15% of their sales revenue from the H20 and MI308 chips sold in China to the U.S. government to secure export licenses [5]. - The H20 chip, designed specifically for the Chinese market, has only 20% of the performance of NVIDIA's flagship H100 chip [5]. - This revenue-sharing model is reminiscent of practices from the Trump administration, which previously banned NVIDIA from selling the H20 chip to China [5][7]. Group 2: Financial Implications - Following the ban in April 2025, NVIDIA faced an estimated loss of $8 billion in revenue, with the Chinese market accounting for 12.5% of its global revenue [7]. - Analysts estimate that NVIDIA could sell approximately 1.5 million H20 chips in China, generating around $23 billion in revenue, leading to a potential payment of about $3.45 billion to the U.S. government [7]. - AMD, which relies on the Chinese market for 24% of its revenue (approximately $6.2 billion), is also subject to the same licensing fee terms [7]. Group 3: Responses and Reactions - NVIDIA stated that it complies with U.S. government regulations for participating in the global market, without denying the existence of the agreement [8]. - Public reactions include concerns about the implications of the revenue-sharing model, with some comparing it to a tax increase [9].

Core Viewpoint - Elon Musk announced that the AI model Grok 4 from xAI will be available for free to global users, marking a significant move in the AI industry [2][3]. Group 1: Free Access and Usage Model - Grok 4 is not a trial or limited-time offer; it is genuinely free for users [4]. - Users can choose between an automatic mode, where the system decides when to use Grok 4 based on query complexity, and an expert mode for more control [4]. - There is a limit of 5 uses every 12 hours for free users, after which a subscription is required [6][8]. Group 2: Product Features and Market Impact - Grok 4 was officially launched on July 10, 2023, and is the fourth iteration of xAI's AI models [8]. - The model includes a standard single-agent version and a multi-agent version called Grok 4 Heavy [8]. - Musk claims Grok 4 is the strongest AI model globally, achieving performance levels comparable to a PhD in academic problem-solving [8]. - The model's performance metrics indicate it competes with top models from OpenAI and Anthropic in real-time speed, reasoning ability, and advanced vision [8]. - The free availability of Grok 4 is expected to strengthen its position in the global market and stimulate innovation in AI technology [8].

近期，有爆料称消费者购买华为 Pura 80 等搭载原生鸿蒙操作系统的手机时，被要求签署知情同意 书。 据相关用户证实，知情书内容为确认 "本人自愿购买华为原生态鸿蒙操作系统产品，店员已经告知鸿蒙 系统使用或有不便，部分软件开发有缺陷不全，等待软件商适配"，并表明产品无硬件质量问题，未来 不会因软件相关问题追究商家责任。销售人员强调，若产品存在质量问题，仍能按规定退换货。 相关博主回应表示，和华为交流后得知新机销量和该情况有关，非因硬件问题，软件问题后续能通过升 级解决，销售方是怕返修率受影响才推行此措施。 也有人认为，在系统不成熟时要求签知情书，有 "甩锅" 嫌疑。 网友反应 对于该做法，公众看法不一。 部分人觉得华为较为诚实，提前告知可防止消费者因软件适配问题产生误会与投诉。 - EOF - 推荐阅读 点击标题可跳转 1、 饿了么前 CEO 被抓细节曝光，4000 万元贿款物藏多个出租屋 2、 小扎本人回应天价挖人策略！顶尖人才更在乎 GPU 支配权！ 3、 2017 年宗庆后问马化腾：腾讯服务器是中国造还是美国造？ 4、 某大V呼吁"吊销不支持纯血鸿蒙的 APP 的 ICP 许可" ...

Core Insights - The article discusses the recent performance of GPT-5 in IQ tests, highlighting that it scored 118 in the Mensa IQ test and 70 in offline tests, marking the lowest record in OpenAI's model family [4][6] - The performance issues are attributed to routing problems within the model, rather than a lack of intelligence [7][11] - The article emphasizes the importance of effective prompting to unlock GPT-5's potential, suggesting that user interaction significantly influences the model's output quality [15][19] Group 1: Model Performance - GPT-5's IQ test results have sparked widespread criticism, but the underlying issue is related to its routing system [4][6][11] - Despite the low scores, GPT-5 continues to show exponential growth in intelligence, adhering to the Scaling Law [13][14] - The model's performance can be significantly improved with proper prompts, demonstrating its capability when users provide clear and structured requests [15][18][25] Group 2: Applications in Medicine - GPT-5 has shown remarkable capabilities in the medical field, assisting researchers in identifying key findings in complex experiments [31][39] - A specific case is highlighted where GPT-5 helped a biomedical researcher explain a previously unexplained result, showcasing its potential as a research partner [30][39] Group 3: Competitive Landscape - OpenAI's GPT-5 is positioned as a strong competitor to Anthropic's Claude model, particularly in programming capabilities [41][48] - The article notes that GPT-5's programming abilities have attracted more developers, indicating a shift in the competitive dynamics of AI models [42][46] Group 4: Future Directions - OpenAI aims to lead the transition to "agent-based reasoning" with GPT-5, focusing on reducing user intervention and integrating AI into daily tasks [66][71] - The model's training emphasizes synthetic data, overcoming limitations of internet data scarcity and enhancing knowledge coverage [68][71] - Future goals include elevating LLM capabilities to a theoretical framework level, aiding in scientific innovation [77]

Core Viewpoint - The article discusses the mixed reactions to the release of GPT-5, highlighting both excitement and criticism from users, indicating high expectations for AGI [4][5][6]. Group 1: GPT-5 Release and User Reactions - The release of GPT-5 has sparked widespread discussion, with some users expressing disappointment while others praise its capabilities [4][5]. - The anticipation for GPT-5 has evolved into expectations for AGI within a short span since the launch of ChatGPT in November 2022 [6]. Group 2: OpenAI's Response and Future Plans - OpenAI acknowledges the challenges faced during the rollout of GPT-5 and commits to improving system stability and user experience [9][10]. - OpenAI plans to double the usage limits for ChatGPT Plus users and will allow them to continue using GPT-4o based on usage patterns [14][15]. - The company is working on enhancing the user interface to allow easier model switching and to clarify which model is responding to queries [14][15]. Group 3: Model Features and Improvements - GPT-5 will automatically enable reasoning capabilities, and future updates will improve the switching process between models [15][32]. - A new voice model has been introduced, enhancing instruction adherence and response speed [23]. - OpenAI is focusing on better handling of biases and aims to make GPT-5 mini feel more personable [29]. Group 4: User Feedback and Customization - OpenAI recognizes the diverse preferences among users for different model versions and is considering options for simultaneous access to multiple models [16][17]. - The company is exploring the possibility of unlimited usage for reasoning features for Plus users [35][36].

Group 1 - The core claim circulating online is that Lei Jun transferred 5 billion USD overseas through Wells Fargo [1] - Xiaomi Group's public relations manager Wang Hua publicly denied any collaboration with Wells Fargo or the mentioned entity, stating that there has been no contact of any kind [3] - Xiaomi has initiated legal proceedings against those spreading false information regarding the alleged transfer [3]

大家好，我是小程程 昨晚在小某书上刷到一个帖子，上海 XX 电商公司发布一则《关于加班的通报表扬》。 通报强调，公司通过门禁系统打卡时间统计发现了一批有 高度责任感 + 默默无私加班奉献 的员工。 默默无私加班奉献？ "默默"是在说这都是员工主动加班的，公司没有强制要求。 "无私加班奉献"，听起来是不是有点像无偿加班的？ 真·热血员工 。。。。。。 其中榜一员工（哪吒）的在 7 月份加班 159.96 小时，平均下班时间为 23:12 。 哪吒真不愧是"热血组"的员工。 此外，我在招聘网站查到该公司的上班时间是 08:30 ~ 17:30，且称 " 偶尔加班" 。（果然应验了是"默 默无私奉献" ） 根据这些数据，下面来推算一下哪吒在这个电商公司属于哪种休息制度： 为方便计算，哪吒加班时间就取整按 160 小时来算，每月 30 天。 A：假设公司双休 + 每月工作 22 天，则日均加班约 7.2 小时。 那哪吒是在凌晨 12:42 点打卡下班 了。（所以该公司 99% 不是双休） B：假设公司大小周 + 每月工作 24 天，则日均加班 6.6 小时。那哪吒是在 12:06 下班了，（这种可能 也可以排除。） ...

Core Viewpoint - Microsoft has recently joined the $4 trillion club, following Nvidia, showcasing the significant financial success attributed to its AI strategy despite recent layoffs [3][5][12]. Financial Performance - Microsoft's quarterly net income reached $27.2 billion, marking a substantial increase from previous years [4]. - The company has become the second in history to surpass a market valuation of $4 trillion [5][12]. - The financial report indicated that Microsoft's investments in AI are yielding impressive returns, contributing to its market valuation [12][20]. AI Strategy and Investments - Microsoft has heavily invested in OpenAI, integrating its models across various products, which has significantly enhanced user engagement and revenue [20][23]. - The company is expected to spend $30 billion in capital expenditures in the upcoming fiscal quarter, the highest in its history, to further bolster its AI capabilities [24]. - Microsoft's cloud service, Azure, has become its largest revenue source, reflecting the growing demand for AI-driven solutions [24]. Market Dynamics - Major tech companies like Nvidia, Amazon, Google, and Meta are also heavily investing in AI, collectively dominating the S&P 500 index [16][30]. - The AI arms race among these giants is intensifying, with each company adopting aggressive strategies to capture market share [15][30]. Workforce and Compensation - Despite the financial success, Microsoft has laid off approximately 9,000 employees, raising concerns about the impact of AI on job security [9][36]. - The company has revealed high compensation packages for senior engineers, with a level 70 engineer potentially earning up to $3.784 million, highlighting a stark contrast between executive compensation and workforce layoffs [9][45][57].

二、厂商争议：14 个月拖延与 48 小时"奇迹修复" 一、漏洞始末：从数据泄露到身体操控 2025 年 3 月，安全研究员 BobDaHacker 发现全球知名智能情趣玩具品牌 Lovense（用户超 2000 万）存在两项高危漏洞： 1、 邮箱裸奔 ：用户互动时（如静音他人），应用会通过 XMPP 协议明文传输关联邮箱地址。攻击者使用网络嗅探工具即可捕获，甚至可通过脚本在 1 秒内精准定位任意用户的真实邮箱 ，即使账户使用匿名昵称也无济于事。 2、 账户接管与身体操控 ：仅凭邮箱即可生成身份验证令牌，无需密码即可登录账户。 攻击者能远程操控绑定的智能玩具（如调整震动模式、强度、 时长），读取私密聊天记录，甚至接管管理员账户。 此次漏洞对 网络主播群体危害尤甚 ——他们常公开用户名以接收观众打赏控制玩具，却因邮箱泄露面临人肉搜索、骚扰甚至勒索风险。 更讽刺的是，同类漏洞早于 2023 年 9 月被其他研究人员报告，但 Lovense 仅标记为"已解决"而未实际修复。 三、行业警钟：情趣科技的安全"法外之地" Lovense 事件暴露了物联网情欲产业的系统性隐患： 结语 当科技赋予亲密关系跨越时空的力量，Lo ...