Articles

The article delves into the profound impact and chaotic consequences of AI music generation technology on streaming platforms and the broader music industry. Using the example of the rock band King Gizzard being impersonated by AI on Spotify, it uncovers serious deficiencies in Spotify's AI content regulation. The article highlights how streaming platforms' enthusiasm for AI-generated music has led to a flood of low-quality 'music junk,' disrupting the traditional creative ecosystem and delivering a double blow to both original musicians and cover artists. Despite some regulatory measures taken by Spotify, its deep-seated pursuit of user engagement time and the CEO's positive stance on AI music make it challenging to eradicate AI-generated filler content. Faced with this dilemma, an increasing number of independent musicians are choosing to abandon mainstream streaming platforms, migrating to distribution channels like Bandcamp that offer greater respect for creators. The article concludes by reflecting that while music creation capability may no longer be scarce, what will truly be rare in the future is thoughtful engagement with music and genuine support for creators, advocating for the industry to return to a more empathetic creative path.

The article details Jing Shui Hu Ventures' success in counter-cyclical fundraising of over 1 billion RMB in China's domestic fund market. The institution positions itself as an “investment craftsman” (a term suggesting a highly skilled and meticulous investor), with founder Zhang Yi upholding the investment philosophy of “discovering Alpha, not chasing Beta.” Through bottom-up in-depth research and independent judgment, it heavily invests in early-stage high-growth projects, such as Voton Energy and Polymaker. The article also highlights Jing Shui Hu Ventures' restraint and discipline in fund scale, even returning funds to LPs to avoid “investing for the sake of investing,” and solving liquidity issues through innovative methods like Secondary Funds, achieving a multi-party win-win for LPs, GPs, and portfolio companies. It primarily relies on institutional LPs and, in investment practice, emphasizes fostering understanding and trust-building with state-owned LPs, forming an operating model characterized by disciplined growth and the compounding effect of trust, providing a unique observation perspective for the primary market. The term 'Ru Ju' signifies entering a new landscape and order.

This article announces the release of Spring Tools 5.0, a significant update bringing several key enhancements. It highlights renewed support for upcoming Spring Framework 7, Spring Boot 4, and Spring Data 2025.1, along with features like new API versioning, functional bean registration, JSpecify checks, and AOT-generated data repositories. A major new feature is its readiness for the 'AI era of coding,' with integration capabilities for Cursor, Copilot for Visual Studio Code, and Copilot for Eclipse. Additionally, Spring Tools 5.0 introduces a completely new logical project structure view based on stereotypes, offering a unique Spring-specific perspective within Visual Studio Code, Cursor, and Eclipse. The Eclipse version also updates to Eclipse 2025-12 and provides full support for JDK 25. The article directs users to detailed release notes and download links.

This article highlights the ineffectiveness of `DeprecationWarning` for Python library API deprecations, drawing on a specific incident involving `urllib3`. When `urllib3` removed deprecated methods that had been marked with warnings since April 2023, major downstream dependents like `kubernetes-client` and `fastly-py` were still using them, leading to breakage. This forced `urllib3` to reintroduce the deprecated methods in a patch release. The author concludes that `DeprecationWarning`, despite being an easy-to-use and language-blessed mechanism, fails to effectively communicate deprecations to library users. The discussion also touches upon the `warnings` module in Python and suggests using the `-Wonce::DeprecationWarning` flag during testing to catch deprecations without excessive spamming, indicating a gap between intended deprecation mechanisms and actual developer behavior.

Professor Xu Xin's team at Tsinghua University's School of Economics and Management proposed the “GDP-B” (Gross Domestic Product-Benefit) measurement method to address the challenge of how to measure the social value of free and zero-marginal-cost digital products and services. This method combines large-scale empirical surveys with incentive-compatible experimental designs, aiming to scientifically measure digital well-being. The study found that Chinese consumers' perceived value of digital services is significantly higher than that observed internationally, and digital well-being exhibits dynamic changing characteristics. The team also explored the special form of China's “Digital Kuznets Curve” and plans to establish a dynamic database for digital well-being, sharing research data to provide a scientific basis for policy-making and promote academic theoretical development.

The article documents a roundtable discussion on China's computational blueprint at the “Jiazi Gravity Year-End Gala,” focusing on how to achieve breakthroughs amidst intensifying global computational capacity competition and external constraints on China's computational infrastructure industry. The panelists identified process bottlenecks, software ecosystems, and system engineering as current multidimensional challenges. To overcome the “triple dilemma” of insufficient computational capacity, limited interconnection, and a nascent ecosystem, the article proposes strategies such as identifying suitable application scenarios, building differentiated technological roadmaps, and promoting edge-cloud collaboration. The discussion spanned from compiler toolchains and chip manufacturing process choke points, to the system engineering challenges of ten-thousand-card-scale computational capacity, the future landscape of edge-cloud collaborative computing distribution, and critical technologies like interconnection and liquid cooling that push physical limits. Finally, it shared insights from engineering practice and highlighted China’s unique advantages in global computational competition, emphasizing the importance of scenario insights, engineering capabilities, and industry chain synergy.

This article details Cursor IDE's latest Visual Editor for Cursor Browser feature, highlighting how it addresses a key pain point in frontend development: the need to manually reconcile code after making style adjustments in the browser. This feature enables users to modify the UI directly on the browser preview interface through drag-and-drop, clicking, and adjusting—similar to how Figma or Webflow operate. Subsequently, the Cursor Agent automatically translates these visual changes into code and writes them into the project, thereby achieving true Design to Code. The article provides a tutorial for experiencing this feature, covering core operations such as selecting elements, conversing with AI, and directly modifying interface elements. It also lists various application scenarios, including testing applications, visual editing of layouts and styles, accessibility auditing, and design-to-code workflows, emphasizing its significant enhancement to frontend development efficiency.

This article details the process of adding a dark mode feature to a website. Driven by user complaints about brightness, the author leveraged Claude Code's capabilities to generate the initial CSS for dark mode, incorporating `@media (prefers-color-scheme: dark)` and a `data-theme` attribute for user preference detection and manual override. A custom footer icon allows users to toggle between auto, forced-light, and forced-dark modes. The article also touches upon using Claude Code to create an animated GIF demo and how Cog was used to resolve CSS duplication issues arising from handling both media preferences and explicit user selections, demonstrating practical application of AI tools in web development challenges.

Nutanix Cloud Clusters (NC2) on Google Cloud has reached general availability, offering a robust solution for hybrid cloud environments. This partnership allows enterprises to migrate and modernize specialized, regulated, and mission-critical applications to Google Cloud without the need for refactoring, while maintaining performance and operational consistency. Key advantages include running workloads on Google Compute Engine's optimized infrastructure (Z3 and C4 machine families), accelerating AI innovation by co-locating data with services like Gemini Enterprise and Vertex AI, and cost savings through dynamic scaling and committed use discounts. The solution supports seamless workload migration, consistent operations, disaster recovery, capacity bursting, and license portability. The architecture integrates Nutanix Cloud Infrastructure (NCI) software directly onto Compute Engine bare metal instances, utilizes existing Google Cloud VPC for networking, and offers unified management via Prism Central. Additionally, it enables deep integration with Google Cloud's AI and analytics tools like BigQuery, Vertex AI, and Dialogflow, allowing applications on NC2 to derive deeper business value and build custom ML models. Licensing will be available via Google Cloud Marketplace, allowing customers to use existing Google Cloud spend commitments.

The core argument of the article is that the development of AI technology is profoundly changing the foundational rules of society and business, shifting the world from a past normal distribution to a power law. This means a few top performers capture most of the rewards, while the majority of ordinary people face challenges. In this context, the article proposes personal coping strategies: abandon the pursuit of 'all-round excellence' and instead focus on an extremely niche area. By leveraging the power of AI and the Internet, individuals can amplify their value and aim to become the 'Top 10%' in that field. Simultaneously, the article emphasizes that future income structures will become polarized, urging people to transition from relying on wages to becoming efficient entrepreneurs. This involves building digital assets such as intellectual property, media, data, and code to generate 'massive income,' rather than merely depending on passive income.