Core Viewpoint - The article discusses the transition of several iPhone models, particularly the iPhone 6s, iPhone 8, and iPhone 11, from being highly regarded to being classified as obsolete products by Apple, highlighting their sales performance and the implications of being marked as "vintage" or "obsolete" [1][11][39]. Summary by Sections - **iPhone Models and Their Status** - iPhone 6s, released in 2015, achieved cumulative sales of 174 million units and was recently classified as obsolete [1][2]. - iPhone 8, launched in September 2017, has also been added to the obsolete list, with its 128GB version being the last standing [13][39]. - **Sales Performance** - Initially, iPhone 8 struggled in sales compared to iPhone X but later gained popularity, achieving a market share of 2.4% in May 2018, topping global smartphone sales [26][25]. - Cumulative sales of the iPhone 8 series exceeded 200 million units, comparable to the iPhone X [35][36]. - **Product Lifecycle and Support** - Apple designates products as "vintage" after 5-7 years of discontinuation, after which they may still have some parts available for repair [2][3]. - Products classified as "obsolete" (discontinued for over 7 years) will no longer receive any official repair services or parts [4][5]. - **Legacy and Future Outlook** - The article reflects on the legacy of classic iPhone models and expresses hope for future innovations from Apple [40].

Core Viewpoint - Manus, an AI startup, has completely withdrawn from the Chinese market, disbanding its entire team in China and blocking access to its website from Chinese IPs [1][2][3][4][6]. Group 1 - Manus has transitioned its headquarters to Singapore, indicating a decisive shift away from the Chinese market [8][10]. - The company had previously been viewed as a potential leader in the AI space, akin to "the next DeepSeek," but has now abandoned its Chinese operations just four months after its initial success [7][32]. - All teams in China have been disbanded, with only a small number of employees relocating to Singapore, while many others have left the company [18][44]. Group 2 - Manus's strategic focus has always been on overseas markets, as evidenced by its establishment of offices in California and Tokyo, and its recent recruitment efforts in Singapore [15][25]. - The company has been actively hiring for various technical and non-technical positions in Singapore, offering competitive salaries that can reach up to 180,000 RMB per month [22]. - Despite initial popularity, Manus's monthly active users have significantly declined from approximately 20 million in March to around 10 million by May [41]. Group 3 - The decision to leave China may be influenced by the need to secure funding amidst tightening regulations, as the U.S. Treasury is reviewing a $75 million investment in Manus [50][51]. - Manus's restructuring involves a new corporate structure that may help reduce compliance costs through tax agreements between Singapore and both the U.S. and China [52]. - The situation reflects a broader trend of Chinese companies relocating abroad to navigate regulatory challenges, similar to other companies that have made similar moves [54].

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Core Viewpoint - Microsoft seems to have unintentionally introduced a bug while modifying activation codes, affecting the TSforge ZeroCID activation method for Windows 10/11, leading to its suspension by the MAS team [1][2]. Group 1: Activation Mechanism Changes - The MAS team announced the suspension of the TSforge ZeroCID activation method due to its inability to activate Windows 10/11, attributed to a bug from Microsoft's code modification [1]. - The TSforge activation method was introduced in February 2025, allowing for permanent activation of Windows 10/11 without loss, but was blocked by Microsoft in March 2025 due to its widespread dissemination [1][2]. Group 2: Investigation and Findings - An investigation by WitherOrNot revealed that the hash values stored in cache entries change with each activation status check, indicating potential issues with the SPP authorization files [2][3]. - The current situation suggests that Microsoft is addressing activation issues in a haphazard manner, leading to code quality problems that require fixing, although it does not significantly impact normal activation processes [3]. Group 3: Microsoft's Approach to Piracy - Microsoft appears to be minimally addressing piracy-related activation issues, possibly due to low consumer purchase rates for the operating system, with revenue primarily coming from OEM licensing [4]. - The company seems to prioritize user engagement with Windows 11 over enforcing strict licensing, as the operating system includes numerous advertisements, making the purchase of licenses less critical [4].

Core Viewpoint - The article discusses a controversial incident involving a software engineer, Soham Parekh, who simultaneously held multiple full-time positions at various startups in Silicon Valley, raising ethical concerns about remote work practices and employment integrity [1][10]. Group 1: Incident Overview - Soham Parekh was accused of working for 3-4 startups at the same time, leading to significant backlash in the Silicon Valley startup community [2][4]. - The situation escalated when Suhail Doshi, former CEO of Mixpanel, publicly warned others about Parekh's deceptive practices, claiming that 90% of his resume was fabricated [4][6]. Group 2: Work Performance and Tactics - During interviews, Parekh was highly impressive, often outperforming dozens of other candidates and receiving offers as high as $200,000 annually [7][8]. - After being hired, he frequently went missing, citing various excuses for his absence, including illness and natural disasters, while still being active on GitHub for other companies [8][9]. Group 3: Community Reaction - Many startup founders shared their experiences of being deceived by Parekh, indicating that this type of "job fraud" is rare but has occurred in the high-pressure environment of Silicon Valley [6][9]. - The incident prompted discussions among founders about the challenges of managing remote teams and the ethical implications of employees working multiple jobs [11]. Group 4: Personal Admission and Future Prospects - Parekh admitted to his actions in a podcast, stating that he felt compelled to take on multiple jobs due to financial difficulties, which sparked further debate on the ethics of remote work [10][11]. - Following the controversy, he secured a position as a founding engineer at a startup called Darwin, which is willing to take a chance on him despite the trust issues raised [12].

Core Viewpoint - The article discusses the rapid adoption and impressive capabilities of Elon Musk's Grok4 AI model, highlighting its performance in various tests and comparisons with other models like OpenAI's o3. Group 1: Performance Highlights - Grok4 successfully passed the hexagonal ball programming test, showcasing its ability to understand physical laws [2][12]. - In a comprehensive evaluation, Grok4 outperformed o3 in all eight tasks, including complex legal reasoning and code translation [23][18][20]. - Tim Sweeney, founder of Epic Games, praised Grok4 as a form of Artificial General Intelligence (AGI) after it provided deep insights on a previously unseen problem [9][10]. Group 2: User Interactions and Applications - Users have engaged with Grok4 in creative ways, such as visualizing mathematical concepts and generating SVG graphics, demonstrating its versatility [25][32]. - A user named Dan was able to create a visualization of Euler's identity with minimal interaction, indicating Grok4's efficiency in generating complex outputs [31][26]. - The article mentions a high-level application called "Expert Conductor," which simulates an expert collaboration environment, further showcasing Grok4's potential in problem-solving [54][56]. Group 3: Community Engagement - The article encourages readers to share their innovative uses of Grok4, indicating a growing community interest and engagement with the AI model [66]. - Various users have reported their experiences and findings, contributing to a collaborative exploration of Grok4's capabilities [12][66].

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Core Viewpoint - The development landscape is undergoing a significant transformation with the advent of AI programming tools like Claude Code, which can autonomously handle coding tasks, leading to a redefinition of developer roles and skills required in the industry [1][5]. Group 1: AI Programming Tools Evolution - The initial experience with AI coding tools began with GitHub Copilot, which significantly enhanced coding efficiency by providing context-aware function completions [2][3]. - The emergence of new competitors like Cursor and Windsurf has shifted the focus towards agentic development models, allowing AI to perform complex tasks through iterative processes [3][4]. - Claude Code stands out as a terminal-focused IDE that fully replaces traditional coding environments, emphasizing an agentic approach to development [4][7]. Group 2: Practical Application of Claude Code - A complete macOS application named Context was developed using Claude Code, with 95% of the code generated by the AI, demonstrating its capability to manage the entire development process [1][5]. - The productivity boost from using Claude Code is substantial, allowing projects that previously took months to be completed in a week [5][56]. - The application of Claude Code has led to a reevaluation of the skills necessary for developers, shifting the focus from specific programming languages to problem-solving abilities and system design [5][6]. Group 3: Code Quality and Development Process - Claude Code exhibits a strong ability to write code, often outperforming average developers, and can autonomously handle tasks such as code generation, testing, and debugging [13][14]. - The AI's proficiency in Swift and SwiftUI is notable, although it occasionally struggles with modern frameworks, highlighting the need for user guidance to optimize output [15][16]. - Effective use of Claude Code requires clear specifications and context, as the quality of generated code is heavily dependent on the clarity of the input provided by the user [31][32]. Group 4: Context Management and Feedback Loops - The concept of context engineering is crucial for maximizing the effectiveness of AI tools, as managing the context window can significantly impact the quality of results [24][27]. - Implementing feedback loops allows Claude Code to iteratively improve code quality through testing and debugging, although some manual intervention is still necessary [39][41]. - The ability to generate mock data quickly enhances the development process, allowing for effective UI prototyping even in the absence of real data [44][46]. Group 5: Future of Development Environments - The traditional IDE model is likely to evolve, with future environments focusing on context management and feedback mechanisms rather than conventional code editing features [53][54]. - The integration of AI into development processes is expected to redefine the role of developers, making it essential to adapt to new tools and methodologies [56][57].