1. The Story Behind “100 Go Mistakes and How to Avoid Them”
Total comment counts : 25
Summary
The article, updated on April 11, 2025, shares the author’s journey in writing their book, “100 Go Mistakes and How to Avoid Them,” published in August 2022. The inspiration for the book began in 2018 while the author was working in Switzerland and exploring Scala and Akka for a project. Following challenges with these technologies, they discovered Go, which quickly became their preferred programming language.
After moving to the UK and experiencing a difficult job in a Java ecosystem, the author shifted companies to pursue a Go-focused role. They started a blog post about common mistakes in Go that unexpectedly gained popularity, leading them to collect more mistakes over time. By November 2020, they had compiled a list of 100 mistakes, prompting the decision to write a book rather than just an open-source repository. They approached Manning, a publisher known for quality, to publish their work, which reflected their journey and passion for writing. The article introduces “Inner Brew,” a new section for personal reflections alongside the main content.
Top 1 Comment Summary
The article discusses the author’s frustrations with the review process in a PR-based setup, emphasizing the desire for a smoother collaboration. The author expresses surprise that a copy editor, who reviewed a Go book, was more comfortable using Git than a web-based review tool, questioning the decision by Manning to employ such an editor. Additionally, the author shares a negative experience with Manning regarding an inquiry about self-publishing a book and the possibility of a second edition. Instead of receiving a personalized response, the author received a form letter rejecting their inquiry, despite not having submitted a formal proposal. They note that while Manning mentioned accepting Google Docs, other formats like AsciiDoc may also be acceptable based on a blog post.
Top 2 Comment Summary
The article discusses issues related to using sync.Pool with non-fixed-size objects in Go programming. It emphasizes that this practice can lead to various problems, citing a blog post for a general overview and a specific GitHub issue as recent experiences of the author. The text notes that many standard library usages of sync.Pool employ tiered pools with fixed sizes, often dropping objects that exceed certain limits, which can be as large as 16KB. This is described as a well-known pitfall within the community, referencing examples of mistakes associated with inefficient allocation optimizations involving sync.Pool.
2. But what if I want a faster horse?
Total comment counts : 120
Summary
The article discusses the shift in user experience for platforms like Netflix and Spotify, comparing their original simplicity and functionality to their current states. Initially, both services offered vast catalogs and user-friendly features that allowed for personalized content management. However, over time, they have evolved into chaotic experiences reminiscent of TikTok, focusing on constantly changing content rather than stable libraries. This has led to a decline in user control and meaningful interaction with their media choices, with platforms prioritizing algorithm-driven recommendations over consistent, reliable navigation. The author yearns for the straightforwardness of the past, likening it to wanting a “faster horse” rather than a radically different solution. The article highlights a broader trend of convergence in tech where platforms lose their distinct, user-centered functionalities.
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The article discusses the influence of enthusiasts on consumer preferences and product development, particularly in tech services like Netflix, Spotify, and Instagram. It asserts that while a small segment of the population—enthusiasts—shapes public opinion and discourse about products, analytics often capture the preferences of a broader, less opinionated audience. This can lead to a product design that caters to average users, ignoring the insights of enthusiasts. The example of web browsers highlights how enthusiastic recommendations drive adoption and popularity, even among users who are indifferent to the specifics. Ultimately, relying solely on user analytics may result in a product that fails to engage discerning consumers, though it may still be profitable.
Top 2 Comment Summary
The article discusses the challenges faced by Netflix and Spotify regarding content licensing and their subsequent shifts in strategy. In 2012, Netflix had access to a vast library of content, which allowed it to serve as an indexed search for available videos. However, as other companies recognized the low pricing of their content, they began increasing prices, triggering bidding wars that reduced Netflix’s available library over time. This shift prompted Netflix to transition from a content aggregator to a content producer to avoid extinction. Similarly, Spotify also expanded beyond music after facing licensing competition. Both platforms had to evolve significantly to survive, as there was no viable route to simply replicate their earlier models in the modern landscape.
3. Default styles for h1 elements are changing
Total comment counts : 33
Summary
The article serves as a guide for web developers on key aspects of web technology, including HTML, CSS, and JavaScript, while emphasizing the importance of creating accessible web content. It also discusses significant changes in default user agent (UA) styles for nested section headings in browsers and how these may affect web developers.
Historically, the HTML specification included an outline algorithm that automatically assigned semantic heading levels to <h1> elements based on their nesting within sectioning elements. However, this led to confusion as many developers did not expect the algorithm’s behavior, contributing to inconsistent practices in using <h1> tags. The algorithm was removed from the HTML spec in 2022, though some UA stylesheet rules remain.
Browsers are now beginning to update their default styles, and auditing tools like Lighthouse are flagging instances where <h1> elements lack explicitly defined font sizes. Developers are advised to clearly specify font sizes and margins for <h1> elements to avoid issues and conform to new auditing standards.
The article includes recommendations for styling <h1> elements and highlights the importance of adhering to these changes for better web structure and accessibility. Additionally, it promotes resources available on MDN, such as recent browser updates and FAQs to assist developers in adapting to these changes.
Top 1 Comment Summary
The article provides historical context about the outline algorithm, which was initially adopted by the W3C as a promising concept. However, it faced resistance from browsers and screen readers due to issues like ambiguity with existing web content and the challenge of requiring screen readers to create their own implementations of the algorithm. After eight years and extensive consideration by a standards organization, the WHATWG ultimately decided to abandon the outline algorithm.
Top 2 Comment Summary
The article discusses a user’s inquiry about why the HTML heading tags <h5> and <h6> have smaller default font sizes compared to paragraph tags <p>. The user had previously asked this question on Stack Exchange but did not receive a satisfactory explanation. A link to the original Stack Exchange discussion is provided for further reference.
4. My Own Private Binary: An Idiosyncratic Introduction to Linux Kernel Modules
Total comment counts : 12
Summary
The article discusses the author’s journey to minimize the size of ELF executable files, which typically have a minimum size of around 4KB. Frustrated by this, the author investigated the ELF format and managed to reduce an executable to an impressive 45 bytes, claiming it to be the smallest possible size for a functioning ELF executable on x86 Linux.
The discussion also touches on alternative binary formats like aout, which was used in early Linux systems but became deprecated due to limitations and security issues. Despite its deprecation, the author explored aout support by compiling a kernel that allowed it, successfully running a 35-byte aout binary.
The author then considers the variety of executable file formats supported by Linux, noting that support for new formats can be added dynamically without recompiling the kernel. However, the author found no completely flat binary format without metadata, which could lead to even smaller executables. The article highlights the complexities of executable formats in Linux and the challenges of reducing their size.
Top 1 Comment Summary
The article is an in-depth essay by Breadbox, focusing on creating smaller binary executables, particularly in the context of C programming and kernel modules. It covers various binary formats, including ELF, a.out, and old MSDOS .COM binaries, emphasizing the simplicity and size efficiency of the latter. The author explains how to dynamically load new executable formats into the Linux kernel, providing a practical walkthrough of writing a minimal “Hello World” kernel module in C. After successfully creating a tiny binary, Breadbox explores advanced features like implementing a stack and heap, handling command-line arguments, and automatically invoking the exit syscall. The article, while technical, is infused with humor, making it engaging and enjoyable to read.
Top 2 Comment Summary
The article discusses a technical disagreement between two articles regarding how scripts without a shebang (’#!’) are executed. One article claims that the kernel manages the execution by registering callback functions for different file types, ultimately allowing the kernel to try running the script as a shell script if no other format is accepted, leading to an “Exec format error” if it fails. In contrast, the article the author references argues that the shell itself handles this process. The author appears to support the latter view based on their own experimentation with a shell script, which showed different behavior depending on how it was executed. They express confusion over how the kernel would know which shell to use if it were to take responsibility for execution without a shebang.
5. Playing in the Creek
Total comment counts : 19
Summary
The article reflects on the author’s childhood experiences of building a dam in a creek and the realizations about problem-solving and the limitations that come with growing up. Initially, the author enjoyed creatively trying to block the water using natural materials but then discovered a more direct method with a shovel, leading to a conversation with their father about the loss of the exploratory play associated with the original task. As the author recounts other childhood experiments, such as building catapults or sparklers, they highlight how achieving mastery or understanding in various activities often curtails the freedom to play or experiment further.
The narrative connects these childhood lessons to adult life, particularly in the context of pursuing a career in investment banking, where winning certain games leads to the necessity of finding new challenges. The author illustrates this with examples like playing at a beach where natural forces are greater than their own, symbolizing the limits of one’s efforts and the necessity for new approaches when faced with overwhelming challenges. Ultimately, it implies a parallel to the field of artificial intelligence, emphasizing the importance of mindful exploration and caution against reckless ambition. This reflection on growth underscores the theme that deeper understanding often leads to fewer avenues for carefree exploration.
Top 1 Comment Summary
The article critiques the focus on AI development, arguing that the real issues stem from the commercialization and marketing of AI, where the goal becomes maximizing profit rather than fostering creativity or enjoyment. It posits that if AI developers approached their work as a hobby rather than a money-making endeavor, the technology would be less problematic, featuring more exploration and less dangerous applications. The author highlights that many people lack self-regulation and will not stop harmful behaviors without external intervention, similar to children needing parental guidance. The article concludes that as long as profit maximization is prioritized over responsible development, challenges will persist regardless of the context, whether in AI or other fields.
Top 2 Comment Summary
The author of the essay expresses a shared sentiment with the original writer but believes they couldn’t articulate it as well. They are skeptical about the likelihood of AI researchers heeding calls to slow down their work. The author highlights the admirable decision of stepping away from a lucrative finance job for moral reasons, yet emphasizes that the finance industry continues to thrive with individuals willing to prioritize profit over ethics.
6. Fintech founder charged with fraud; AI app found to be humans in the Philippines
Total comment counts : 54
Summary
Albert Saniger, founder and former CEO of Nate, an AI shopping app, has been charged with defrauding investors, according to the U.S. Department of Justice (DOJ). Nate, founded in 2018, raised over $50 million, including a $38 million Series A in 2021. The app claimed to enable one-click purchases across e-commerce platforms using AI. However, the DOJ alleges that Nate relied on human contractors in the Philippines to handle purchases, resulting in an actual automation rate of 0%. Saniger misrepresented the app’s capabilities to secure funding. Nate ran out of money and sold its assets in January 2023, leaving investors with significant losses. This issue of startups exaggerating their AI capabilities is not isolated, as other companies have also been reported to employ similar practices.
Top 1 Comment Summary
The article reflects on a common pattern observed in AI startups, which typically begins with an individual identifying a problem that could be addressed through machine learning (ML) or artificial intelligence (AI). The steps outlined are:
- An individual explores a problem and finds a potential ML/AI solution.
- They realize the model shows promise and could be commercially viable.
- They launch a paid service and attract some early customers.
- The AI model fails to generalize effectively, leading the startup to hire human workers to manage the limitations and improve the model.
- The reliance on human labor grows as the AI underperforms.
- This situation draws public scrutiny when an article points out the use of inexpensive human labor in their operations.
The author is critical of this cycle, highlighting the challenges and ethical concerns that can arise in the development and deployment of AI technologies.
Top 2 Comment Summary
The author shares their experience of being mistakenly flagged as a potential shoplifter by a grocery store’s self-checkout system, which analyzed their hand motions via CCTV footage. They express doubt about whether the flagging was due to software analysis or if it involved human monitoring from overseas.
7. How a $2k ‘Made in the USA’ Phone Is Manufactured
Total comment counts : 40
Summary
The article discusses the challenges of manufacturing smartphones in the U.S., particularly in relation to President Trump’s vision of reshoring high-tech manufacturing. The author highlights that while many components involved in smartphone production are sourced internationally, there is one smartphone, the Liberty Phone by Purism, that qualifies for a “Made in the USA” label according to the FTC. Priced at $2,000, the Liberty Phone is based on Purism’s Librem 5, which costs $800 when made in China, and is noted to have outdated specifications.
The article features an interview with Purism’s founder, Todd Weaver, who discusses the company’s journey toward producing the Liberty Phone. Founded in 2014, Purism initially focused on laptops before transitioning to smartphones. Despite relying on Chinese expertise for initial manufacturing, Purism has developed its own production capabilities in California, striving to produce as many components in the U.S. as possible. The company aims to cater to the security market by ensuring full control over its supply chain and the transparency of its technology. Weaver details the process of assembling the Liberty Phone in their facility, illustrating their commitment to American manufacturing.
Top 1 Comment Summary
The article discusses the cost structure of a phone produced in China versus the US. It reveals that the production cost in China is $550, with a selling price of $799, resulting in a 45% markup. In contrast, the production cost in the US is $650, sold for $2000, yielding a 207% markup. The author argues that with these figures, the company shouldn’t be concerned about tariffs, as an 18% tariff would make US production cheaper than Chinese for US customers. However, the main issue seems to be a lack of production capacity in the US, rather than cost concerns.
Top 2 Comment Summary
The article features commentary from a skilled electronics engineer expressing confusion over the language used in a piece discussing Surface Mount Technology (SMT) and PCB assembly. The engineer remarks that the phrasing is unusual and suggests that the author may not fully understand the technical aspects or that the editing may have affected clarity. The engineer highlights specific statements that demonstrate a lack of conventional terminology used by professionals in the field.
8. Gemini Live with camera and screen sharing capabilities
Total comment counts : 20
Summary
Gemini Live, a new feature available on Android, allows users to engage in live conversations with AI through their camera or screen sharing. Launched for Gemini Advanced subscribers, it is now accessible to all users of the Gemini app on Pixel 9 and Samsung Galaxy S25 devices. The tool supports over 45 languages and can assist in various scenarios such as organizing clutter, brainstorming creative ideas, troubleshooting issues, aiding in online shopping, and providing feedback on digital content. Users can interact with Gemini by showing images or sharing their screens for real-time assistance. Note that Gemini Live is not yet available for enterprise or education accounts, and requires an internet connection. The rollout will continue over the coming months, transitioning users from Google Assistant to Gemini.
Top 1 Comment Summary
The author uses a screen-sharing tool from Google AI Studio to assist in understanding mathematical notation in academic papers. They verbally ask questions about the meanings of symbols, finding this method highly beneficial since they have not memorized the notation.
Top 2 Comment Summary
The author finds the opening sentence of AI responses in demo videos off-putting, feeling it reflects a cultural expectation of joyful helpfulness that doesn’t resonate with them. Coming from a more direct and concise culture, they perceive this approach as mismatched.
9. Live Map of the London Underground
Total comment counts : 46
Summary
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Top 1 Comment Summary
The article warns against using a specific API due to its unreliable data. It highlights that the API provides information from various arrivals boards, which inconsistently spell station names and describe train statuses using varied free text. The author expresses skepticism towards the organization behind the API, citing past disruptions and a lack of modern features like multi-factor authentication. Overall, the message conveys frustration and concern over the data’s reliability and the organization’s capabilities.
Top 2 Comment Summary
The article discusses a visually appealing Tube Tracker app, which has been repeatedly recreated by the author over the past decade for learning and testing purposes. The author expresses frustration with the Transport for London (TfL) API, noting that it hasn’t improved despite numerous attempts. They reference a colleague, Chris Applegate, who previously wrote about challenges with the API over ten years ago, questioning whether certain stations on the Hammersmith & City/Circle line were ever added. The article includes several links to related content, including the author’s projects and other resources.
10. Clojure: Realtime collaborative web apps without ClojureScript
Total comment counts : 11
Summary
The article discusses the creation of a multiplayer web app using a framework called Datastar. The author highlights several key aspects of this app’s design and performance. Initially, the app used a naive implementation by sending the complete main body on every change, which raised concerns about performance. However, Datastar employs a fast morph algorithm to optimize updates by only changing altered elements.
Further improvements were made by leveraging HTML bubble up events, reducing the number of event listeners to a single top-level listener and increasing cell count to 2500 while maintaining data efficiency. The article notes that Brotli compression over server-sent events (SSE) offers significant bandwidth savings, suggesting that this approach is often more efficient than using websockets, which can complicate operations.
The author emphasizes that Datastar allows for a reactive programming model similar to React but keeps the view on the client and the state on the server, enhancing simplicity. The framework can be paired effectively with Clojure, allowing for the development of interactive web apps without ClojureScript. The article concludes by inviting readers to explore the full source code for the Datastar game of life.
Top 1 Comment Summary
The article discusses the Clojure community’s focus on state management, recognizing its significant role in software issues. It highlights a front-end approach using Datastar to manage state on the backend, thereby avoiding front-end complications. Additionally, it mentions interesting developments in Electric Clojure and a new framework called Replicant, which the author finds particularly intriguing. If Replicant didn’t exist, the author would consider using Datastar as described in the article.
Top 2 Comment Summary
The article discusses two main approaches to managing client state in web applications: client-heavy state management (separate client applications) and client-light state management (thin clients). It emphasizes that application state is typically managed on the server side, often stored in a database, making the need for client-side management questionable.
The author argues that managing state in both client and server can lead to duplication, synchronization issues, and added complexity, which can negatively impact maintainability and increase risks and costs. In many common applications, such as eCommerce and business tools, server-side management alone is often sufficient.
The article concludes that it’s possible to maintain real-time features and high interactivity in web applications without the need for extensive client-side state management, thanks to technologies like Server-Sent Events (SSE) and efficient HTML merging.