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Article URL: https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791%2826%2900405-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666379126004052%3Fshowall%3Dtrue Comments URL: https://news.ycombinator.com/item?id=49341411 Points: 49 # Comments: 16

Article URL: https://en.andros.dev/blog/54572bc7/finger-the-1971-social-network-that-never-died/ Comments URL: https://news.ycombinator.com/item?id=49342472 Points: 20 # Comments: 6

Article URL: https://acadia.engineering/blog/rethinking-database-programming Comments URL: https://news.ycombinator.com/item?id=49342530 Points: 87 # Comments: 36

Article URL: https://pixelcluster.dev/VRAM-Overcommit/ Comments URL: https://news.ycombinator.com/item?id=49342719 Points: 219 # Comments: 58

Article URL: https://www.theregister.com/ai-and-ml/2026/08/18/google-buys-crashed-airline-spirits-data-at-auction-because-ai/5288962 Comments URL: https://news.ycombinator.com/item?id=49343559 Points: 95 # Comments: 48

Article URL: https://arstechnica.com/tech-policy/2026/08/as-wisconsin-cities-flee-flock-its-shared-camera-network-loses-value/ Comments URL: https://news.ycombinator.com/item?id=49344114 Points: 8 # Comments: 1

An AI product can become expensive without doing anything obviously wrong. The prompts work. The model answers correctly. Users are getting value. Then usage grows and the inference bill grows much faster than expected. One common reason is architectural: every task is being sent through roughly the same model path. A document extraction step uses the same model as a difficult reasoning task. A simple classification gets the same reasoning effort as a complex investigation. ...

About a quarter of our users access the API with a key. The main barrier isn't code, it's the first half hour: open the docs, figure out which endpoints you need, put together the first request, find where the key goes. The Postman network skips most of that. You get ready-made collections you can fork into your workspace and run with your own key. We're in there now, next to Notion, Stripe, and Twilio — and getting listed took one evening. Here's how I did it, and why I decided not to build the...

I run WiFi for a few hostels using TP-Link Omada controllers. Wanted customers to buy data and check their remaining balance straight from WhatsApp, no need to message me directly. Sounded simple. It was not. Attempt 1: TP-Link's official Open API TP-Link has a real, documented API for this. OAuth2, client credentials mode, the whole thing. I set it up exactly the way their own tutorial says to: created an app, grabbed the Client ID, Client Secret, and Omada ID straight from t...

Terraform Remote State Explained Terraform is a powerful tool for infrastructure as code, but managing state files can be a complex task. The terraform_remote_state data source allows you to access state data from other Terraform modules or workspaces, enabling you to share data across different teams and environments. In this article, we will explore the terraform_remote_state data source, its benefits, failure modes, and trade-offs, along with a practical example. Introduct...

In the last piece I said the matching core had 56 tests. That sentence is close to meaningless, and I want to fix it here. Test count is not a quality signal. You can write a hundred tests that exercise every line and catch nothing, because they only ever ask the code to do what it already does. So when I wrote the suite for this thing, I wrote it the other way round: each test is a hypothesis that the gate can be beaten, and the test passes only when the gate goes red. The core is now pub...

What I built howtolosemoneyfast.com is a satirical lottery analysis tool. You can simulate thousands of EuroJackpot or Lotto 6aus49 draws, check your numbers against every real historical draw (back to 1955 for 6aus49), and watch a chart of your net worth go relentlessly downward. The entire thing runs client-side. No backend, no data collection. Your numbers never leave your browser. Why I wanted to make the abstract concept of "1 in 139 million" feel visceral. Reading ...

Most developer portfolios look exactly the same: a generic hero section, some floating mockups, and a standard contact form. As a software developer with a background in multimedia, I wanted to build something that didn't just tell visitors I write code—I wanted it to physically feel like a developer's environment. I decided to ditch the standard web layout and build a cinematic, IDE-style terminal portfolio from scratch. Here is a breakdown of the architecture, the micro-interactions, an...

A field note on why your RAG app doesn't have a model problem — it has a retrieval problem. Built on a 346-page scanned Kannada novel: OCR, hybrid retrieval, reranking, deterministic routing — and the numbers that proved it worked. The moment I stopped trusting my own system was the moment it confidently answered a question about page 120 with a passage from an entirely different chapter. I was building a RAG agent for Heli Hogu Kaarana , a Kannada novel by Ravi Belagere, digitize...

Setting up cloud infrastructure is the easy 10%. You click through a console or run a few Terraform files, things come up, it works, everyone's happy. Then the other 90% starts, the part that actually decides whether your setup is a foundation or a slow-motion incident, and almost nobody talks about that part until they're living in it at 3am. So here's the 90%, roughly in the order it bites. Setting up cloud infrastructure is the easy 10%. You click through a console or run a few Terraform ...

Every "AWS vs Azure vs GCP" article is a feature table, and every feature table is useless, because all three can do essentially everything you need. Compute, storage, databases, networking, managed Kubernetes, serverless, ML. If your decision comes down to which one has a particular service, you're comparing at the wrong altitude, because they'll all have caught up within a release or two anyway. So ignore the tables. Here's what actually decides it. ** What does your team already know **...

How AI Security Studio's ASS Script engine lets you record, replay, and narrate a full offline security scan — deterministic analysis first, local LLM reasoning second. Most "AI-powered" security tools have the same dependency: your code has to leave your machine to get an answer. That's a non-starter for a lot of security research — client engagements under NDA, regulated codebases, or just not wanting proprietary source sitting in someone else's inference logs. AI Security Studio is built ...

In 2023, the business model was clear. Anthropic builds models. Developers access them via API. Developers build products. Users use the products. Anthropic makes money from the API. Everyone wins. This was the foundation on which thousands of companies built their products, raised their funding, and hired their teams. The labs were infrastructure. The ecosystem was the product layer. The relationship was symbiotic and straightforward. That model is gone. It did not disappear wi...

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Last quarter, we ran our production voice AI receptionist — Loquent — across four different TTS engines simultaneously, split-testing real patient calls at dental and healthcare clinics. The results surprised us: the most "natural sounding" engine in demos performed the worst with actual patients. Why We Ran This Test At Autor, we've been running Loquent in production for over a year now. It handles thousands of automated calls per month for healthcare and dental clinics across C...

AI agents can only use tools as reliably as those tools are described. That’s why I built ToolReady AI —a free tool that reviews MCP and AI-agent tool schemas, identifies reliability problems, and recommends specific fixes. A function might work perfectly when a developer calls it directly, yet still fail when an agent has to decide when to call it, which arguments to provide, and what values are safe. In many cases, the problem is not the underlying API. It is the tool schema placed betw...

Most people ask: What will my first job teach me? The deeper question is quieter: What does it take to become someone who can finally be trusted with real work? There is a real tension in the first job. One view says it’s just a stepping stone — gain experience, update the résumé, move on. Another says it shapes you in ways that stay long after the job itself is forgotten. Both can be true. A first job can be temporary. What you learn from it may not be. The First ...

The concrete problem A security pull request can be green for the wrong reason. Unit tests may pass, the vulnerable endpoint may return a different status code, and a scanner may stop reporting the original finding. None of those results necessarily shows that the attacker lost the capability that mattered. The same identity might reach the sensitive action through another route, inherit a broader token, or trigger an equivalent workflow with slightly different input. This becomes especia...

Sometimes you have GPS coordinates like: 40.7128, -74.0060 But coordinates alone are not very useful to most users. They usually want to know something much simpler: What place is this? The process of converting latitude and longitude into a human-readable address is called reverse geocoding . In this article, we'll build a simple reverse geocoding example with JavaScript. What Is Reverse Geocoding? Normal geocoding converts an address into coordi...

post 7: A practical guide to understanding Docker Compose—what it is, how it works, and the misconceptions that catch most beginners. You've mastered single containers. Now it's time to build a real application. A frontend. A backend. A database. A Redis cache. Suddenly you're juggling multiple docker run commands. Ports. Networks. Volumes. Environment variables. Chaos. Then someone says: "Just use Docker Compose." It works beautifully. But here...

SpaceXAI recently introduced Grok Bot, an always-on AI-agent service designed to work more like an autonomous teammate. The agents have their own cloud computer environment and can log into applications, websites and tools to perform multi-step tasks. They can also operate in parallel and coordinate with other agents. The product is entering a market that already includes competing agentic workplace products from OpenAI, Anthropic and Microsoft. Traditional chatbot: User ↓ Question...

I’ve been building a side project called OopsCalorie , an AI-powered calorie and meal tracking app. The idea sounded simple enough: User logs or takes a photo of their food. AI identifies the meal. Estimate calories and macros. Save the entry. Done. Simple, right? Well... Then we started testing it with Filipino food. 😂 AI Meets Filipino Food 🇵🇭 One of the funniest parts of building OopsCalorie has been testing the food recognition. At one point, ou...

30 React.js Interview Questions You Should Know Before Your Next Frontend Interview ⚛️ Whether you're preparing for a frontend interview or simply want to brush up on your React.js knowledge , this guide covers 30 real-world, scenario-based React interview questions that interviewers frequently ask. The goal isn't just to memorize definitions. These questions are designed to help you understand how and when to apply React concepts in real-world applications . 📌 Bookmark this ...