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🔥 Explore this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: from the age-verification-is-another-phrase-for-privacy-breach dept From the very beginning of this recent obsession with identifying everyone online (yes, they like to call it “age” verification, but it always ends up as identity verification), we’ve been pointing out that it was a huge privacy nightmare waiting to happen. Or maybe it wasn’t waiting. Maybe it was already happening. This week a massive new data breach has been revealed that should put the nail in the coffin for the idea that any sort of age or identity verification…

🚀 Read this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Retrospective on Project Xanadu’s success and failure: a lack of design iteration, meaningful use-cases, or practicality stopped a valuable vision from maturing into something useful. (And contrasted with my approach.) In December 2024 during a visit to San Francisco, I was lucky enough to be invited at the last minute to a party that could only have happened there: a celebration of the 50th anniversary of hypermedia visionary Ted Nelson’s 197452ya manifesto, Computer Lib/Dream Machines, extolling the vision of Project Xanadu hypertext. I’ve contributed to…

🚀 Read this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Digital subscribers can listen to this article. Subscribe today for unlimited access to Texas Monthly. Already a subscriber? Log in. Some staggered through the hospital’s doors, arriving at all hours of day and night. Others were wheeled in on gurneys, their bodies having given out before they could reach the emergency department. Many had collapsed at work—while painting houses, stapling shingles, or paving roads. All had been born in Mexico or Central America, and most complained of a crushing fatigue they could no longer ignore.Routine blood…

💥 Explore this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Why would a coding agent ignore a retrieval interface that returns more precise results? I explored this question in a small study comparing lexical search with grep against LSP-backed semantic navigation. I expected semantic navigation to reduce noise and save tokens. Instead, agents often stayed with grep. When I forced them to use the semantic path first, task success sometimes fell. This is a question of LLM-friendliness. A tool is not friendly to a model merely because its results are precise. It must return enough…

🔥 Check out this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Through decades of consolidation, reorganization, and divestiture, AT&T left a famously complicated corporate history. One of the greatest enterprises in American history, arguably the greatest enterprise, AT&T has often rivaled the federal government in the size of its budget and workforce. One of the reasons, as we well know today, was monopolization and its close relative vertical integration. AT&T was the telephone system, or at least aspired to be, and for decades the meaning of "Universal Service" was that the service was designed, built,…

✨ Read this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Like I wrote, september has started with my disappointment with 1password. As I was expecting, I got a reply to my email at the support team. Here’s what they have told me. Hello Nicola, Thank you for reaching out and sharing your questions and concerns about our decision to become a corporate patron of the Omacom Foundation. We value the relationship we have with you, and we want to respond thoughtfully and openly about the purpose of this commitment and how we’re approaching it at…

✨ Check out this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: A lot of the educators I admire in the frontend web space seem to be either bowing out or dialing back their efforts: Axel Rauschmayer, Salma Alam-Naylor, Josh W. Comeau, to name a few. Other well-known luminaries like Kent C. Dodds, Addy Osmani, Rachel Nabors, and Lydia Hallie have pivoted from talking about frontend development to talking about… well, take a wild guess. I never made a living from talking about web dev, but I do have this blog, and I’ve done conference talks…

✨ Read this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: A little over a decade ago, I led the controls design for a first-of-its-kind full digital-control system for a U.S. nuclear plant. It was, on paper, a beautiful machine—engineered to run itself the way a modern airliner does, with operators watching over a system that rarely needed them. And we made a decision that, to an efficiency-minded observer, looked backward: We deliberately left manual steps inside sequences the system could execute on its own.We were solving a specific problem. An operator who only ever supervises…

🔥 Check out this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: The positive reputation of GLP-1 medications like semaglutide (Ozempic/Wegovy) and tirzepatide (Mounjaro/Zepbound) continues to get bolstered. These drugs might even help keep some infectious diseases at bay. Two studies in recent weeks have found a link between GLP-1 use and a reduced risk of diseases like tuberculosis or infections serious enough to send people to the hospital. Though more research is needed to confirm this connection, GLP-1 drugs could very well offer a buffer against certain infections, particularly among more vulnerable groups like people…

✨ Check out this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: How did we run all these experiments concretely? Our panel of repositories We started by running an analysis over thousands of public GitHub repositories from which we extracted statistics about programming languages & frameworks, third-party services, deployment platform, team sizes, and codebase age. Since Tech startups are more likely to have open-source repositories than large enterprises, and stacks are likely very different we then unbiased our statistics based on publicly available data and reached our ideal panel distribution. We then staffed various coding agents…