HackerNews

Macbeth and His Problems

Article URL: https://porticoquarterly.com/essay/macbeth-and-his-problems/ Comments URL: https://news.ycombinator.com/item?id=49602716 Points: 30 # Comments: 9
HackerNews

Working on Economics with Fable 5

Article URL: https://wilsoniumite.com/2026/08/03/working-on-economics-with-fable-5/ Comments URL: https://news.ycombinator.com/item?id=49603086 Points: 36 # Comments: 20
🌍 TheVerge

Six years later, Sony revisits its legendary XM4 headphones

Six years ago Sony and Bose were in the middle of a noise-canceling battle, with each new model of headphones better than the last. In the fall of 2020, Sony released the WH-1000XM4 headphones to wide acclaim. They sat atop best headphones lists for years, thanks to their great sound, competitive ANC, and compact size, […]
🌍 TechCrunch

A secret new Elizabeth Holmes documentary stuns Telluride

Nathan Fielder and Lance Oppenheim's secret Elizabeth Holmes documentary, "You Can See Everything," stunned Telluride audiences Sunday night with its generous access to the Theranos founder.
🌍 Dev.to

Base64 Decode: Choosing the Right Method for Every Situation

A developer hits an unfamiliar string in a log file, an API response, or a query parameter and needs it readable before the day ends. The job looks tiny on paper, yet the path matters more than people expect. Pick the wrong approach and you'll burn an afternoon on whitespace; pick a thoughtful one and the same task takes thirty seconds. This guide compares the realistic options — manual work, a spreadsheet, command-line utilities, and a dedicated web helper — and gives an honest recommendation f...
🌍 Dev.to

I got tired of losing good jobs to timing, so I built a pipeline that scores LinkedIn listings against my CV and emails me the best matches

A job posting gets 200+ applicants in 48 hours. By the time LinkedIn's daily digest hits your inbox, the window is already closing. I kept finding great matches days after they were posted. So I built SnapplAI: it scrapes fresh LinkedIn listings, sends each one to Gemini to score it against your CV, and emails you only the top matches, before the crowd even sees them. How it works Four steps, one pandas DataFrame, no frameworks: Scrape — fresh listings from LinkedIn based on your f...
🌍 Dev.to

Why your progress bar's ETA lies, and the survey-sampling trick that fixes it

We've all trusted a progress bar that said "5 minutes left," walked away, and come back an hour later to find it barely moved. It's not a bug. It's built into how progress bars estimate. Here's the core problem, and it's more interesting than it looks. The lie every progress bar tells A normal progress bar computes ETA like this: "I've done 2,000 of 10,000 items in 10 minutes, so the remaining 8,000 will take about 40 more." That assumes the rest of the job looks like the part...
🌍 Dev.to

Two Kinds of Memory

I asked my AI agent where the retry logic lived. Four seconds later: three files, one shared helper, a comment linking to a Slack thread that doesn't exist anymore. Found it cleanly. Then I asked why the retry count was capped at three instead of five. Silence, then a guess. It could find the code. It had no idea why the code said what it said. Two failures wearing the same complaint — "the AI doesn't know this project." One's a search problem. The other's a memory problem. I'd alrea...
🌍 Dev.to

Why Is Rendering Office Documents So Hard? I Built Docxion to Find Out

Building Docxion: An Open-Source Office Document Viewer for Android and the Web Viewing a PDF inside an application is relatively straightforward. Viewing Microsoft Office documents is a different story. DOC, DOCX, XLS, XLSX, PPT, and PPTX all come with their own rendering challenges. If you want users to open these documents directly inside your application, you quickly end up choosing between complicated rendering stacks, external applications, proprietary SDKs, or solutions with lic...
🌍 Dev.to

What Happens When AI Agents Stop Working Alone?

Something interesting is happening in AI-assisted software development. We are getting very good at giving an AI agent a repository and a problem and letting it figure things out. The agent can explore the codebase, understand dependencies, make changes, run tests, interpret failures and continue working until it reaches a result. That is already changing the role of the developer. But there is another change happening underneath it that I find even more interesting. We are beginning...
🌍 Dev.to

Implementing Loop Invariant code Motion with LLVM

Introduction In the previous articles, we learned how to write analysis and transformation passes with LLVM. We started with a simple pass that counts, in a given module, how many add instructions there are. Next, we saw a simple implementation of Dead code elimination optimization and constant propagation. Our focus was on practicality: we simplify by making a few assumptions and start showing the code while keeping the theory to a minimum. We are keeping the same focus here: being pr...
How I Made My React Website Load Faster by Fixing Images
🌍 Dev.to

How I Made My React Website Load Faster by Fixing Images

The easiest performance win in React isn't always your JavaScript. Sometimes it's your images. I used to think performance optimization meant splitting bundles, memoizing components, and chasing Lighthouse scores. Then I opened Chrome DevTools on one of my own React projects. The result? Images were quietly eating most of the page weight — way more than my JS bundle, my fonts, everything else combined. A hero banner that looked perfect on my laptop was making mobile users download a ...
🌍 Dev.to

Ten questions to answer before you route production traffic through someone else's LLM endpoint

Every LLM endpoint's landing page says fast, reliable, compatible, secure. Those words are free. This is the list of questions that aren't free — the ones where the answer takes a vendor real work to be able to give, and where you can verify the answer yourself in an afternoon. Disclosure up front: I work on daoxe , a multi-model gateway. At the end I run this checklist against it, and two rows don't pass. That's the point of publishing it — a checklist that flatters whoever wrote it isn't...
🌍 Dev.to

A Complete Guide to Writing Dockerfiles from Beginner to Production

Docker শিখতে গেলে সবচেয়ে গুরুত্বপূর্ণ জিনিসগুলোর একটি হলো Dockerfile । অনেকে Dockerfile-কে শুধু কয়েকটি command-এর file হিসেবে দেখে: FROM node:22 COPY . . RUN npm install CMD ["npm", "start"] কিন্তু আসলে Dockerfile-এর প্রতিটি instruction-এর পেছনে একটি নির্দিষ্ট ধারণা আছে। কেন FROM লাগবে? COPY আর ADD -এর পার্থক্য কী? RUN আর CMD কি একই জিনিস? CMD এবং ENTRYPOINT কখন ব্যবহার করব? ARG আর ENV কখন? কেন COPY package*.json ./ আগে ল...
🌍 Dev.to

**Python Distributions and Their Impact on Data Science**

Understanding Statistical Distributions and Their Impact on Data Science In the world of data science, data is the foundation of every decision, model, and prediction. However, raw data on its own often appears chaotic and difficult to interpret. This is where statistical distributions become important. Statistical distributions help data scientists understand how data is spread, identify patterns, and make informed decisions based on probabilities. Without understanding distributions, analy...
🌍 Dev.to

7 Rules for Email and Phone Verification Delivery Risk and Account Continuity

The page fires at 02:13. A student cannot sign in, support is asleep, and the dashboard shows a healthy login endpoint. The missing signal was earlier: a verification code was requested repeatedly, then never accepted. That is a delivery and recovery problem, not merely a choice between two input fields. Short answer: email and phone verification protect different security boundaries, so choose based on identity stability, abuse exposure, and the recovery path you can operate when delivery fa...
🌍 Lobsters

The Dataflow Model Revisited

Abstract Eleven years ago, the Dataflow Model paper argued that unbounded, out-of-order data was the new normal, and that we must stop waiting for data to ever become complete. It proposed a unified model (windowing, triggers, watermarks, and retractions) for freely trading off correctness, latency, and cost across batch and streaming engines. On the occasion of its VLDB Test of Time award, we grade our own work—a paper about streaming analytics, in truth if not in name—on what aged well, what...
🌍 TheVerge

The real reason your phone is getting more expensive

When Apple debuts the next generation of iPhones this week, they're likely to come with an unwanted change: a higher price tag. A price hike from the supply-chain powerhouse would be the clearest sign yet that soaring memory costs have become unavoidable - with no end to the memory crunch in sight. Call it "chipflation" […]
🌍 TheVerge

EcoFlow makes the miniature power station even smaller

If you're in the market for a tiny power station that punches well above its size and weight then have a look at EcoFlow's new fourth-generation River series. The River 260 Gen4 features a 256Wh capacity battery while the 520 Gen4 packs in 512Wh - storing about 2.5x and 5x the energy of the largest […]