🚀 Explore this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: The intuitive notions of computation and algorithm are central to mathematics. Roughly speaking, an algorithm is an explicit, step-by-step procedure for answering some question or solving some problem. An algorithm provides routine mechanical instructions dictating how to proceed at each step. Obeying the instructions requires no special ingenuity or creativity. For example, the familiar grade-school algorithms describe how to compute addition, multiplication, and division. Until the early twentieth century, mathematicians relied upon informal notions of computation and algorithm without attempting anything like a formal analysis.…
🔥 Check out this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: ssh.place: r/place over SSH One canvas. Everyone draws on it over SSH. No account, no install · 200×60 cells · one placement every 15s Draw on it: ssh ssh.place Any SSH key works. There is nothing to sign up for. 30 online · 2042 of 12000 cells drawn How it works Move the cursor with the arrow keys, wasd or hjkl The canvas is wider than your terminal, so scroll to pan around. shift+←/→ jumps a whole screen. Pick a color with 0 to…
🚀 Discover this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: CP/M‑386 is CP/M for 386 protected mode, derived from CP/M‑68K. CP/M‑386 is currently in the very early development stages. Compatible with 386 (and later systems) with 2MB (or more) memory. Systems using either PC BIOS or UEFI (with CSM) are supported. VGA, 8042 PS/2, 8250/16450/16550 UART, CMOS RTC, and 8253/8254 PIT are supported. CP/M‑386 should be highly source‑compatible with other implementations: System BDOS coverage CP/M‑68K 1.3 100% CP/M 2.2 100% CP/M‑Plus 71% DOS‑Plus 62% MP/M 2.1 50% The system currently reports BDOS 2.2 to applications. The CP/M‑386 BDOS…
🚀 Explore this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: A feature that sounded obviously good When I introduced Book Corners, I explained that much of its initial data came from OpenStreetMap. OSM gave the project a useful starting point, with thousands of public bookcases already mapped around the world. Book Corners also accepts new libraries directly from its users. People can submit a location and a photo, and the contribution becomes public after moderation. It seemed only fair that, when one of those submissions was missing from OSM, Book Corners should be able to…
💥 Discover this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Blazingly fast. Memory-unsafe and faster than yours. Shitty is built for low latency, fast startup, and predictable resource use. It keeps terminal state on the CPU and renders cells with native compute backends: Vulkan on Linux and Metal on macOS. 100MB catted through the GUI on an Apple-silicon MacBook, every terminal equalized first: Menlo 12pt, the same 14x28px cell, an 80x24 grid, 500 lines of scrollback. Best wall time of three runs. Printable ASCII (the scroll path): terminal wall user throughput shitty 0.81s 0.50s ~118…
🚀 Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: If you've ever wondered how much of your personal information is collected every time you go online, California is giving consumers a new way to push back. Starting Aug. 1, registered California data brokers must begin honoring requests submitted through the state's Delete Request Opt-out Platform, better known as DROP. The online tool allows California residents to ask registered data brokers to stop selling their personal information without having to contact hundreds of companies individually. Since Jan. 1, about 350,000 Californians have already signed up…
✨ Read this must-read post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Michael Pollan has written about everything from mushrooms to apples and corn, but his coevolutionary story of how tulips and humans shaped each other may have been the most prescient given recent market parallels. GPU compute powering crypto for the last decade has spilled over into a bigger boom in language models. From bulbs, to coins, and now tokens. With animal spirits driving markets higher and CEOs blaming artificial intelligence for layoffs, who is using whom? AI, like the apple and corn plants, is gleefully…
💥 Discover this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: As of today, the EU's rules on AI models become enforceable, cementing the European Commission's role as the world's most prominent regulator of this disruptive technology. Euronews takes a deep dive into what the rules mean for Europe and beyond. ADVERTISEMENT ADVERTISEMENT The AI Act is the first comprehensive law regulating artificial intelligence. Passed in 2024, some of its most significant provisions — notably those regulating large language models — become applicable this August. As the law introduces first-of-its-kind rules, enforcing them presents a unique…
💥 Check out this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Seven years after its blockbuster 2019 announcement, SwiftUI was supposed to be the mature, production-grade future of cross-platform UI development on all Apple platforms. Instead, SwiftUI feels like a perpetual beta, even in 2026. In this deep dive, I break down why the initial excitement has given way to deep professional frustration for senior engineers. I analyze the systemic issues with performance and layout predictability, the chaotic state of SwiftUI’s ever-changing data flow, and the frustrating lack of backward compatibility that forces developers into…
✨ Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: This week is Agents Week.As we started thinking about and planning the week, we wrestled with a broader question of what it means to support this new era of agents and what a purpose-built foundation for agents actually looks like. Which brought us to a simpler framing: what is an Agent Cloud? We quickly realized however, that our framing was wrong. Not because it’s the wrong question to ask, but because of who we were asking — ourselves, instead of our agents. It’s no longer about…