Articles

This article introduces the 'Resonant Computing Manifesto,' a framework launched at WIRED's The Big Interview event, aiming to promote a positive vision for building hyper-personalized, AI-powered software. It critiques the traditional approach of creating standardized solutions for the 'average user,' which has led to sterile digital experiences. The manifesto posits that AI offers the missing piece, enabling software to adapt fluidly to individual contexts at scale, thus moving beyond the 'one-size-fits-all' model. It proposes five core principles for 'resonant software': ensuring data privacy and personal stewardship, dedicating software to user interests, fostering plural and distributed control, making tools adaptable to individual needs, and designing for prosocial shared spaces. The movement is presented as a response to perceived deviations from early idealistic principles within Big Tech, seeking to define a more human-aligned future for technology.

This article provides a detailed analysis of the fundamental differences in index structures between MySQL's two major storage engines, MyISAM and InnoDB. The article first introduces MyISAM's index implementation, pointing out that both its primary key index and ordinary indexes are non-clustered indexes, with indexes and row records stored separately, and leaf nodes storing pointers to row records. Subsequently, it focuses on elaborating on InnoDB's clustered index characteristics, emphasizing that its primary key index is physically stored together with row records, making primary key queries highly efficient; while ordinary index leaf nodes store primary key values, requiring a 'lookup operation'. Clear diagrams illustrate the engine's internal mechanisms and their impact on database design and query performance. The article also provides practical suggestions for InnoDB primary key selection, such as using trend-increasing short integers as the primary key to optimize performance and storage efficiency.

The article begins with the case of product manager Lin Mo, highlighting issues like inefficient information reception and increased colleague pressure caused by a fast speech rate. It then delves into the double-edged sword effect of speaking quickly, pointing out its advantages in efficient information transfer, demonstrating confidence, and mental agility, as well as its disadvantages such as creating communication pressure, increasing the risk of misunderstanding, weakening empathy, and potentially being misinterpreted as arrogance. The article emphasizes that merely speaking fast is not the problem; the key lies in mastering one's speech pace. It offers four practical tips: possessing contextual insight, cultivating self-awareness, effectively using pauses, and being audience-centric, aiming to help readers become communication masters who can flexibly control their speech rate.

This article introduces CS146S "Modern Software Developer," a new course offered by Stanford University's Computer Science Department. The course presents an innovative requirement for students: all development tasks throughout the semester must primarily rely on AI, and AI conversation logs must be submitted for verification. The course is taught by Mihail Eric and features guest lectures from multiple AI domain experts. Developed over 10 months, it is the first course among top universities to focus on the principles and practices of AI software, aiming to teach students how to become the most efficient software developers using AI coding. The course materials, including the homepage and a curated reading list, have been fully released online, providing valuable self-learning resources for learners with a solid programming foundation.

This issue of Morning Brief delves into how AI technology profoundly impacts various fields of technology and business. In consumer electronics, the iPhone Air's depreciation rate hits a new high, while the controversial Doubao AI Phone sparks mixed industry reviews. To address the demands of AI data centers, memory giant Micron is strategically exiting the consumer-grade business. The company will fully focus on enterprise-grade and High Bandwidth Memory (HBM). At the AI application level, Google Search is seamlessly integrating conversational AI features, Alibaba Qianwen is upgrading document and PPT generation, Doubao is launching the Seedream 4.5 model to strengthen image generation, Google Workspace Studio is launching a low-code AI Agent platform, and Ant Lingguang is achieving mini-game generation in 30 seconds, all showcasing the enormous potential of AI in office efficiency, content creation, and entertainment. In addition, the Morning Brief also covers Apple executive changes, Xiaomi Auto trends, Australia's social media ban, AI-generated fraudulent claims, and the latest progress of multiple movies.

The article details the innovative features and practical applications of Meitu's AI design tools, particularly RoboNeo, in AI Poster design. The author first points out the common pain points of current AI Poster design, such as difficulties in secondary editing, deformation of complex products, complex design workflows, and low stability of prompts. Subsequently, the article showcases RoboNeo's solutions through numerous examples: the intelligent layering function can accurately separate the foreground and background and perform seamless filling; the seamless text editing function can modify text content while maintaining the font style; for E-commerce scenarios, the tool can generate multi-size, multi-angle product suite images in a streamlined process while maintaining product consistency; it also demonstrates virtual model try-on, generating personalized posters based on the subject, multi-language poster creation, and Text-to-Poster and Dynamic Poster generation. The article emphasizes that these tools greatly simplify the design process, improve the work efficiency of E-commerce, operations, and content creators, making AI Poster design more convenient and controllable, and transforming creative ideas into practical results.

The article uses the Car of the Year list from the renowned automotive media TopGear as an introduction, detailing award-winning models such as the BMW iX3, Dacia Hipster, Kia PV5, Mercedes-Benz Electric CLA, Audi A6 Avant, Land Rover Defender OCTA, Ferrari 296 Speciale, Ford Mustang GTD, and Yangwang U9. After introducing these models and the reasons for their accolades, the article's core point is that in the New Energy Era (the era of electric and alternative energy vehicles), significant differences have emerged between overseas and Chinese markets in the perception of vehicle aesthetics, functionality, and pricing. Through specific examples, such as the varying evaluations of the BMW iX3 and Mercedes-Benz GLC EV in Central European markets, it emphasizes that the era of traditional automakers' standardized global car is long gone, and future product strategies must highly value localization needs.

The article announces the release of Django 6.0, highlighting two particularly notable new features: background workers and template partials. Background workers, originating from DEP 14 and prototyped in `django-tasks`, provide native support for asynchronous task execution, crucial for modern web applications. The author references a 'first look' article by Kevin Wetzels, which includes insights into custom database-backed worker implementations. Template partials, a Google Summer of Code project, offer a clean design for defining and reusing template fragments, with an `inline` attribute for immediate definition and rendering, and the ability to render named partials directly from Python code. The author expresses enthusiasm for combining template partials with HTMX and demonstrates their practical application by using an AI tool (Claude Code) to refactor his own blog's codebase, showing how partials can de-duplicate content display. Overall, Django 6.0 brings substantial improvements for developer efficiency and application architecture.

This Vercel security advisory addresses the critical 'React2Shell' vulnerability (CVE-2025-55182) impacting Next.js applications (versions 15.0.0 to 16.0.6) and other frameworks utilizing React Server Components. It confirms public Proof-of-Concept (POC) exploits and active threat actor probing. Vercel has implemented a multi-layered defense, including Web Application Firewall (WAF) rules and blocking new deployments of vulnerable Next.js versions. The article strongly recommends immediate upgrading to patched Next.js versions as the only complete fix, noting WAFs offer only partial protection. It provides a detailed patching table for Next.js, guidance for other frameworks, and answers frequently asked questions regarding vulnerability detection, signs of exploitation, available protections, and safe testing practices. Vercel also highlights its partnership with HackerOne for responsible disclosure, offering substantial bounties.

The article reports the successful listing of Moore Threads, a domestic general-purpose GPU manufacturer, on the STAR Market. Its opening market capitalization surpassed 305.5 billion yuan, setting several records, including the fastest IPO approval on the STAR Market in just 88 days. Founded by Zhang Jianzhong, former general manager of NVIDIA China, Moore Threads rapidly iterates its products based on its MUSA full-featured GPU architecture. According to the prospectus, the company will allocate 8 billion yuan of raised funds primarily to the R&D of AI training-inference integration, graphics, and AI system-on-chip (AISoC) solutions. Furthermore, the article highlights Moore Threads' strategic transformation, with AI-accelerated computing products' revenue share skyrocketing to 94.85% in the first half of the year, becoming the primary growth driver, demonstrating its significant position and growth potential in the domestic chip market.