How to Use AI With Your Privacy Intact
🌍 Wired

How to Use AI With Your Privacy Intact

Your conversations with AI chatbots are both highly personal and deeply vulnerable to surveillance. Here’s how you can protect yourself.
The UK Government Faces a Reckoning Over Palantir
🌍 Wired

The UK Government Faces a Reckoning Over Palantir

Andy Burnham once kept Palantir out of Greater Manchester. His first test as prime minister is whether to cut the company’s £330 million NHS contract—and risk a rupture with Big Tech and Washington.
🌍 TheVerge

Apple’s first live music venue is opening beneath its UK headquarters

Apple is preparing to open a new "state-of-the-art" live music venue in the UK, a 600-capacity space for hosting performances, recording sessions, and video broadcasts. The venue, called Apple Music Hall, is located underneath Apple's European headquarters in London's iconic Battersea Power Station, and is set to open next week on September 28th. Details about […]
🌍 TheVerge

Can you forget how you feel about Meta?

In 2021, as a whistleblower emerged with dramatic allegations that Facebook was harming children, CEO Mark Zuckerberg posted a rebuttal on Facebook. “We care deeply about issues like safety, well-being and mental health. It’s difficult to see coverage that misrepresents our work and our motives,” he wrote in a note to Meta staff, which he […]
🌍 TheVerge

Meta patches Muse exploit that let attackers control the AI agent

Meta has issued a patch for its Muse macOS app following the discovery of a zero-day vulnerability that could allow someone to take control of the AI agent. The bug found by security researcher Patrick Wardle utilized an undocumented Muse setting that enabled potential attackers running local code to redirect transcription processing from Meta's servers […]
Confirmed vs. Potential Vulnerabilities: How to Act on Each Without Creating Alert Fatigue
🌍 Dev.to

Confirmed vs. Potential Vulnerabilities: How to Act on Each Without Creating Alert Fatigue

Confirmed vulnerabilities are security flaws a scanner has actively verified as present — through direct proof, not inference. Potential vulnerabilities are conditions that suggest a weakness may exist but require manual investigation or authenticated scanning to confirm. The distinction determines your response workflow: confirmed findings trigger immediate remediation; potential findings trigger investigation first. The difference sounds straightforward. The operational reality is not. When...
🌍 Dev.to

A decorrelated bot that loses money is just a diversified way to lose money

I added trend-following bots to my fleet to decorrelate it. The correlation matrix said it worked. The P&L said it didn't. Here's the number that settles the argument. I run a small fleet of trading bots in paper mode. Most of them are variations on the same idea — mean-reversion on crypto: buy the dip, scale in, exit in green. Running five bots that all do the same thing isn't a fleet, it's one bet with extra logging. So I deliberately added bots designed to make money when the dip-buye...
🌍 Dev.to

Complete Polymarket Bot Architecture: Market Data, Strategy, Risk & Execution

Learn how to design a production-ready Polymarket bot architecture using real-time market data, strategy isolation, risk controls, CLOB execution, reconciliation, and Rust. A Polymarket bot becomes difficult to maintain at exactly the point where it starts making real decisions. Fetching an order book is easy. Sending an order is easy. The engineering problem is keeping market state, strategy state, order state, inventory, risk controls, and execution behavior consistent while all of the...
What an Angular-native Storybook alternative actually looks like
🌍 Dev.to

What an Angular-native Storybook alternative actually looks like

ng-prism puts the showcase config on the component, extracts the rest with the TypeScript compiler, and renders into your document instead of an iframe. This is the whole tool, end to end — including the three things that shipped in v22.2: a visual-regression panel, an Overview contact sheet, and a UI rebuilt around a single density scalar. The default, and what it costs If you build an Angular component library, you probably run Storybook. Not because you compared options — bec...
🌍 Dev.to

Nstrike — Blockchain légère (MVP)

Nstrike — Blockchain légère (MVP) 📖 Description Nstrike est une implémentation from scratch d'une Blockchain de type Ethereum, écrite entièrement en C++17 moderne sans aucune bibliothèque externe (ni OpenSSL, ni Boost, ni secp256k1). Le projet vise à démontrer le fonctionnement interne d'une Blockchain complète : cryptographie, machines virtuelles, consensus Proof-of-Work, comptes, jetons ERC-20, RPC JSON et CLI. Auteur : Martial Zinsou Version : 0.1.0 (MVP...
🌍 Dev.to

Ophthordle - a new weekly game to test your diagnostic skills!

Ophthordle’s rise signals something important for health-tech builders: diagnostic gamification works because it leverages pattern recognition, feedback loops, and low-friction repetition. What if we applied those same UX principles — not to identifying visual deficits — but to correcting them? Amblyotube (Meta Quest) does exactly that. Built with WebXR-like rendering pipelines and precise inter-pupillary distance calibration, it delivers asynchronous visual stimuli to each eye while main...
How To Create a macOS 27 Golden Gate USB Stick Installation Drive
🌍 Dev.to

How To Create a macOS 27 Golden Gate USB Stick Installation Drive

Introduction YouTube Video Requirements Downloading the macOS 27 Golden Gate Installer Creating the USB Installation Drive Introduction Hi there. In this article, I'll be going over how you can create a macOS 27 Golden Gate installation drive using a USB stick. Once created, it can be used to upgrade, install or reinstall macOS 27 on a supported Mac. YouTube Video If you would prefer to see this article in video form, I have a YouTube video for it below:...
🌍 Dev.to

Multi-Agent Systems: 4 Tests for When One Agent Beats Five

A team at Anthropic built a research system where one lead agent hands work to several subagents running in parallel. On their internal research eval it beat a single agent by 90.2%. In the same write-up they said it burns about 15 times the tokens of a plain chat, and that token usage by itself explained 80% of the variance in performance on the BrowseComp benchmark. Put those two numbers next to each other and the headline changes. Five agents did not win because five heads think better ...
🌍 Dev.to

Debugging Expo: Fixing Node v18 Incompatibilities and Network ETIMEDOUT Errors on Linux

Setting up a fresh mobile workspace can sometimes feel like running an obstacle course. If you’ve ever run npx create-expo-app only to be met with a wall of engine warnings, random ReferenceError: File is not defined breaks, and persistent ETIMEDOUT network failures, you are not alone. Here is exactly why these errors happen on a Linux environment and a bulletproof roadmap to fixing them. The Culprit 1: Node.js Version Mismatch Modern scaffolding tools move fast. The ...
🌍 Dev.to

How to Build a High-Converting Shopify Store Without Writing Tons of Custom Code

Building a Shopify store doesn't always mean writing hundreds of lines of Liquid, JavaScript, and CSS. The goal is to create a store that is fast, mobile-friendly, easy to use, and focused on conversions. Here are a few practical ways to do it. Start With a Flexible Theme Choose a theme with reusable sections and customization options. This lets you create: Custom homepage sections Product layouts Promotional banners Collection sections FAQs and testimonials You can ...
🌍 Dev.to

Think smaller: why specialist SLMs beat frontier models in production

Most agent tasks do not need a frontier model. The subtasks inside a production agent are largely repetitive and narrowly scoped, and a small language model of 1B to 8B parameters, fine-tuned on your production data, beats a frontier model on cost, latency and accuracy for that job. Serving a 7B runs roughly 10 to 30x cheaper than a 70B+ model. Originally published at overmindlab.ai . Frontier models are overkill for most agent tasks. Specialised small language models beat them on cost...