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Originally published at carlosortet.com . Republished here with canonical. It matters more than ever, and it is more urgent than ever, to be able to prove that a model has read and used our content. There is an opportunity window to mark your content and this is before a model uses it. On 10 July I published an article here about the idea of hiding an impossible date inside a text so you could prove, later, that an AI had trained on it. Thirty two days later, on 11 August 2026, Anthropi...

GitHub Actions Basics for DevOps Introduction GitHub Actions is a powerful CI/CD platform that integrates seamlessly with GitHub repositories. It allows you to automate your software delivery pipeline, from testing and building to deploying and monitoring your applications. This article will provide a comprehensive overview of GitHub Actions, focusing on its basics, common failure modes, and trade-offs, along with a practical example. What Are GitHub Actions? Git...

The security industry still tends to describe scam infrastructure through the most visible artefact: the malicious website. That framing is convenient because websites are easy to scan, classify, block and remove. It is also operationally incomplete. A modern scam operation is better understood as a distributed service chain composed of acquisition channels, impersonation assets, communication mechanisms, payment pathways, supporting identities, redirectors, applications, phone numbers, soc...

Silent failures Your daily report stopped arriving two days ago. Nobody noticed, because a message that does not arrive looks exactly like a quiet day. A reader told me my fix was only a promise Count the scheduled jobs in your repository that end by sending something. A report, a digest, a backup confirmation, an alert. Now say, without opening anything, which of them actually sent something yesterday. Most teams cannot answer that, and the cost stays at zero until the one d...

APIMart: Discounted AI API Aggregator for GPT-5, Sora 2 💎 Anthony Max Anthony Max Anth...

Hey DEV community! 👋 I wanted to share a quick project I built using AI-assisted development (Vibe Coding): a lightweight, real-time Online Word Counter Tool . As an SEO specialist, I often need quick text analysis (word count, reading time, character limits). Instead of using bloated third-party sites, I decided to build one using pure JS/PHP with AI guidance. 💡 Key Features Built: Real-time word, character, sentence, and paragraph counting. Estimated reading & sp...

https://www.youtube.com/watch?v=KzdYKeAqWhY 题目：《Lean 创始人访谈全记录：当形式化验证遇上 AI，手写数学与软件验证将如何被重塑》 第（一）部分 开场与核心命题：从“测试只能证明有 bug”到“证明可确保无 bug” （0% - 8%） Dijkstra 名言引出形式化验证的根本价值：主持人以 Dijkstra 的名言“程序测试可用于揭示 bug 的存在，但永远无法证明 bug 的不存在”开场，指出 Lean 与形式化证明的意义恰恰在于“证明 bug 不可能发生”。 Lean 的基础定位：Lean 既是一门编程语言（可以写代码），也是一个证明系统（可以对代码写性质并用机器可检查的证明来验证）。它提供绝对正确的保证，并拥有多个独立的检查器。 Lean 应被视为平台：用户可以在 Lean 上写代码、写关于代码的性质命题、并给出证明；本期节目将围绕它如何工作、以及它如何改变数学和软件验证的未来展开，并提出“手写数学是否会终结”这一核心疑问。 第（二）部分 Lean 是什么：编程语言与证明助手的一体两面...

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Article URL: https://conic.al/writing/the-other-sean-byrne-doesnt-exist/ Comments URL: https://news.ycombinator.com/item?id=49307592 Points: 84 # Comments: 22

Article URL: https://chenxiachan.github.io/thoughtdag/ Comments URL: https://news.ycombinator.com/item?id=49307700 Points: 13 # Comments: 1

Here is why this article is worth your time: you cannot tell what a generated setup script does by reading the diff. A diff shows you the words that will run, not the files that will be touched, the network connections that will be opened, or the directories that will be wiped at execution time. For a small patch, manual review may be enough. For a server initialization or cleanup script produced by a free model, the danger is in the side effects you never see in the source. This guide turns ...

Qwen3.8-2.4T-A95B is a 2.4-trillion-parameter Mixture-of-Experts model with roughly 95B parameters active for each token. If you're planning to self-host it, the first thing to know is that this is a genuinely large distributed model: even the low-precision checkpoints are measured in terabytes. The official open checkpoint is: Qwen/Qwen3.8-2.4T-A95B The model has 512 routed experts and selects 10 of them per token alongside one shared expert. Its 92-layer backbone mixes 69 ...

A merge request changes one README line. The pipeline still calls a model. It costs tokens. It adds latency. It tells you almost nothing. Sound familiar? If you maintain a small CI setup, this failure keeps showing up. The instinct is to put model-based review everywhere. Then the free tier dies in a week. The fix isn't another monitor. It's a small decision gate that decides whether a diff deserves a model call at all. The operator-supplied availability claims for MonkeyCode incl...

Building Roshni: An Ultra-Low Latency, Multi-Agent Financial Voice Assistant for Bharat 🇮🇳 How I built an end-to-end, multilingual financial voice AI using Murf Falcon, LiveKit Agents, Deepgram Nova-3, Google Gemini, and Next.js during the 10 Days of AI Voice Agents Challenge. 🌟 1. The Problem & Why Voice Matters for Bharat In India, financial inclusion has accelerated rapidly with UPI, digital banking, and government-backed credit initiatives. However, navigating co...

AI agents are starting to remember more than chats. They can watch clicks, typed text, app switches, browser context, files, tool calls, and workflow history. That memory can make an agent feel useful fast, but it can also turn a helpful feature into a quiet privacy incident. If you are building an AI product, do not start with “how much can we capture?” Start with “what is the smallest event stream that still helps the user?” This guide shows a practical privacy filter you can place between ...

What I Learned Stealing Ideas from Matt Pocock’s .agents Directory If you’ve spent more than ten minutes on TypeScript Twitter, you know Matt Pocock. He’s the guy who made zod and TS generics feel approachable. But a few weeks ago, I stumbled onto something more interesting than his type gymnastics: a repo called mattpocock/skills , which is literally a dump of his .agents directory. At first I thought it was a joke. Then I realized it’s a goldmine for anyone building AI-assisted c...

Most of the industrial AI you have seen is a retrieval pipeline with a chat box on it. Chunk the manuals, embed them, stuff the top matches into a context window, let the model talk. It demos well. It falls apart the first time somebody asks a question where the answer depends on what a machine is doing right now. We are an applied research lab called Nodeblue, and the system we build is called Nexus. This is a writeup of the architectural decision at the center of it, which is that the langu...

I'm a solo builder. I needed a 2-minute product demo for ClinTrialFinder — a free tool I built that matches cancer patients to clinical trials. I can fumble through OBS and iMovie, but I'm not proficient — and Claude Code does it faster. So I asked Claude Code — an agentic coding tool — to make it. And it did: a narrated walkthrough where the voiceover lands exactly on the on-screen action. I never opened a screen recorder. I never opened a video editor. I never manually lined up a single...

Container Image Signing & SLSA Provenance Verification with Sigstore Cosign Supply chain security guide on signing OCI container images keylessly and verifying SLSA build provenance using Sigstore Cosign and Rekor. Executive Summary & Key Takeaways Keyless Image Signing: Sign OCI container images in CI/CD using OIDC identity tokens (Fulcio CA) without managing private keys. Immutable Transparency Log: Record signature metadata in the public Rekor transparency ...

For the last 10 days, I have been building a voice agent called Shiksha as part of the 10 Days of Voice Agents — VoiceForBharat Edition challenge by Murf AI. My original idea was simple: Build a voice agent that can help students learn through natural conversation. Over the challenge, that idea grew into a complete voice-based learning system with memory, tools, human escalation, call analytics, and a specialist agent . What is Shiksha? Shiksha is a voice-ba...

What I Built Overview & Purpose Canine AI Whisperer is an intelligent multimodal veterinary ethology and behavioral intelligence platform designed to bridge the communication gap between dogs and their humans. Our core goal is to transform modern canine care by translating subtle physical micro-signals, acoustic vocalizations, and behavioral telemetry into actionable, real-time guidance—preventing behavioral escalation and strengthening the bond between pet parents and their dogs. ...

Skills are reusable workflows, not magic knowledge pills. Before you install one, inspect its source, versions, and effects to confirm it fits your project. Start with a few focused skills and adapt them to what already exists. A skill is a set of instructions and scripts that lets an agent reproduce a specialized method. It doesn’t guarantee best practices or compatibility with your repository. The official documentation for tools like Claude Code and Codex explains how skills work under the...

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8/14/2026: Top 5 stories on the HackerNoon homepage!

Prefill/decode disaggregation can worsen tail latency through queue imbalance and KV transfer. Measure the full TTFT path and use load-aware routing.

I built a retrieval-augmented Q&A tool over my own published essays. This is the log of building it — the actual decisions, in order, with real numbers and r...

Learn everything you need to know about Javascript via these 500 free HackerNoon blog posts.

The Unitree G1 has found online fame as a relatively affordable robot that can charm a crowd. But can it ever hold down a real job?