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Attempting to stop Microsoft users sending ‘reactions’ to email from me by adding a postfix header

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✨ Explore this trending post from Hacker News 📖 📂 Category: 💡 Key idea: Over the past few months, I’ve noticed that an increasing number of replies to email that I’ve sent are “reactions”. I imagine that, to the sender, or to someone in the Microsoft ecosystem, they are handled a bit liked a “thumbs-up” or “heart” reaction to a Signal message. To me - as someone not in the Microsoft ecosystem - for each reaction, I get an email: like [person] reacted to your message: The “like” is alt-text. Because I don’t allow loading of remote content, I don’t…

How I Use Every Claude Code Feature

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💥 Check out this awesome post from Hacker News 📖 📂 Category: 💡 Here’s what you’ll learn: I use Claude Code. A lot.As a hobbyist, I run it in a VM several times a week on side projects, often with --dangerously-skip-permissions to vibe code whatever idea is on my mind. Professionally, part of my team builds the AI-IDE rules and tooling for our engineering team that consumes several billion tokens per month just for codegen.The CLI agent space is getting crowded and between Claude Code, Gemini CLI, Cursor, and Codex CLI, it feels like the real race is between Anthropic…

Context engineering | Chris Loy

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🚀 Read this awesome post from Hacker News 📖 📂 Category: ✅ Here’s what you’ll learn: As our use of LLMs has changed from conversational chatbots and into integral decision-making components of complex systems, our inference approach must also evolve. The practice of "prompt engineering", in which precise wording is submitted to the LLM to elicit desired responses, has serious limitations. And so this is giving way to a more general practice of considering every token fed into the LLM in a way that is more dynamic, targeted, and deliberate. This expanded, more structured practice is what we now call…

LM8560, the eternal chip from the 1980 years – Tyco’s Pages

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🚀 Check out this insightful post from Hacker News 📖 📂 Category: 💡 Here’s what you’ll learn: Quick jumps to:– What digital alarm clocks before it were like– Why is the LM8560 so costs effective? The trick, how it works– Typical issues– Its weak point is also its strength– Its “hidden” functions– Some unwanted behaviors– That evil beep beep!– Limitations of use– Make a quartz clock / DC supply clock with the LM8560– Operating modes– Its relatives and predecessors– The Duplex display. A not versatile but clever solution– Not the best chip for electronics hobbyists– My alarm clocks– My first…

Why do AI models use so many em-dashes?

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💥 Explore this trending post from Hacker News 📖 📂 Category: 💡 Here’s what you’ll learn: If you asked most people to name a defining feature of AI-generated writing, they’d probably say the em-dash — like this. Language models use em-dashes so much that real humans who like em-dashes have stopped using them out of fear of being confused with AI. It’s also surprisingly hard to prompt models to avoid em-dashes: take this thread from the OpenAI forums where users share their unsuccessful attempts. Given all that, it’s kind of weird that we don’t really know why language models use…

Notes by djb on using Fil-C (2025)

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🚀 Explore this trending post from Hacker News 📖 📂 Category: ✅ Key idea: I'm impressed with the level of compatibility of the new memory-safe C/C++ compiler Fil-C (filcc, fil++). Many libraries and applications that I've tried work under Fil-C without changes, and the exceptions haven't been hard to get working. I've started accumulating miscellaneous notes on this page regarding usage of Fil-C. My selfish objective here is to protect various machines that I manage by switching them over to code compiled with Fil-C, but maybe you'll find something useful here too. Timings below are from a mini-PC named phoenix…

Yes you should understand backprop | by Andrej Karpathy

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🚀 Check out this trending post from Hacker News 📖 📂 Category: ✅ Here’s what you’ll learn: When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the lowest level. The students had to implement the forward and the backward pass of each layer in raw numpy. Inevitably, some students complained on the class message boards:“Why do we have to write the backward pass when frameworks in the real world, such as TensorFlow, compute them for you automatically?”This is seemingly a perfectly sensible appeal - if you’re…

Meta readies $25bn bond sale as soaring AI costs trigger stock sell-off

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🔥 Check out this insightful post from Hacker News 📖 📂 Category: 📌 Key idea: Unlock the Editor’s Digest for freeRoula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.Meta is planning to raise $25bn from a bond sale to help it pay for soaring artificial intelligence costs, even as the Big Tech group’s shares suffered one of their worst days ever over concerns that its spending is too high.The social media group had hired Citigroup and Morgan Stanley to raise up to $25bn in debt, ranging from five to 40 years in maturity, in what…

(Quite) A Few Words About Async

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🚀 Explore this trending post from Hacker News 📖 📂 Category: 💡 Main takeaway: I’ve had a few conversations about async code recently (and not so recently) and seen some code that seems to make wrong assumptions about async, so I figured out it was time to have a serious chat about async, what it’s for, what it guarantees and what it doesn’t. Most of the code in this entry will be written with Python syntax (and often Python libraries), but with a few minor exceptions, we’ll be discussing concepts that are valid across languages. We all know about performance,…

frostyplanet/crossfire-rs: A lockless mpmc/mpsc to support async base on crossbeam

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💥 Read this trending post from Hacker News 📖 📂 Category: 📌 Main takeaway: High-performance lockless spsc/mpsc/mpmc channels. It supports async contexts, and communication between async and blocking contexts. The low level is based on crossbeam-queue. For the concept, please refer to the wiki. V1.0: Released in 2022.12 and used in production. V2.0: Released in 2025.6. Refactored the codebase and API by removing generic types from the ChannelShared type, which made it easier to code with. v2.1: Released in 2025.9. Removed the dependency on crossbeam-channel and implemented with a modified version of crossbeam-queue, which brings performance improvements for both async…