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I would never go so far as to say there's no place for AI in music (I'm a fan of Holly Herndon, after all). But I generally find music made with generative AI to be offensively boring, especially the outputs of Suno. So I'm having a bit of a tough time processing the fact that […]

Clone any website into clean code. Free & open source Discussion | Link

Your personal context file for every agent. Discussion | Link

According to the New York Times, federal agents have been told that the FBI will no longer be investigating confrontations involving ICE agents. The DHS and DOJ denied the change in policy to The Times. The reported change in guidance follows renewed scrutiny of violence by ICE agents who have killed two people in the […]

Manage your team of AI agents by voice, from anywhere Discussion | Link

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Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, how AI is playing a part.

I’ve been out of context with my computer science degree for years, and honestly, it feels overwhelming. I want to change that, so I'm starting this log to document my comeback story, my failures, and my progress. What I did today: Acknowledged the starting line. Took 10 minutes to think about where I left off and what I need to tackle first. Decided to write daily logs. This is not my first attempt to finish the degree, but hopefully with some public eyes on it, it will be the last. 10 subject left. Starting with Mathematical analysis. The biggest challenge right now: Feeling completely out of context and fighting the urge to get distracted by everything else. Many things have changed since i was actively going to classes. My generation graduated many years ago and i feel like getting all the information I need will be extremely difficult since i don't know anyone. Getting information from the university websites and emailing professors will be slow. Next steps: Tomorrow, I'm going to try to overcome my overdramatic anxiety and post in the student groups I was in, in hope that somebody might have new information about the subjects. I will go start lesson #1. Goal is to ease into the material and start a habit, rather than pressuring myself to do everything at once. Come back tomorrow.

The line between editorial content and paid promotion has been eroding for years. On most major retail platforms, in countless lifestyle publications and across the breadth of social media, content that presents itself as independent assessment is frequently underwritten by the very brands being assessed. This is not a new problem, but it is a worsening one. The consequences are practical. Consumers who believe they are reading a review and acting accordingly may be making purchasing decisions on the basis of what is, in effect, an advertisement. The financial cost of that mistake is modest in most individual cases. The cumulative effect on consumer trust is not. Understanding what separates a genuine review from disguised promotional content requires more than checking for a disclosure label. It requires looking at structure, incentive, methodology and language - and recognising that some of the most effective adverts are those that most convincingly resemble reviews. What a Review Is Actually Supposed to Do A review serves one primary function: to help a reader make an informed decision about a product, service or brand. That function is incompatible with advocacy. A reviewer who is trying to help a reader decide cannot simultaneously be trying to persuade that reader to buy. This distinction sounds obvious. In practice, it collapses quickly when the person writing the review has a financial relationship with the brand, when the product was provided free of charge without conditions, or when the publication depends on advertising revenue from the sector it covers. None of those arrangements automatically invalidates the content produced. But each one creates a structural incentive that pushes in a specific direction - and that direction is rarely towards harder scrutiny. The Disclosure Problem Regulatory frameworks in the UK, including guidance from the Advertising Standards Authority and the Competition and Markets Authority, require that paid-for content be clea

Over the weekend, I participated in the OpenAI Build Week Hackathon with a simple goal: Build something I would actually use as a developer. By Friday evening, I had an idea. By Sunday, that idea became an open source project called Arcovia . It wasn't just another AI coding experiment. I wanted to solve a problem I've faced while working on large React applications for years. The Problem We have excellent tools for code quality. ESLint catches code smells. Prettier formats code. SonarQube reports issues. AI reviews code and suggests improvements. But none of them answer questions like: Is my architecture healthy? Which modules are becoming bottlenecks? Where is technical debt accumulating? Which files should I refactor first? Why did my project receive this score? Architecture is often something we discuss during code reviews or realize too late when the codebase becomes difficult to maintain. I wanted a tool that could measure architecture health before it became a problem. Introducing Arcovia Arcovia is an Architecture Intelligence tool for React and Next.js projects. Instead of generating hundreds of isolated warnings, it analyzes the project as a whole and produces an interactive HTML report. It includes: 📊 Architecture Health Score 🕸️ Dependency Graph 🎯 Architecture Hotspots 📈 Explainable Score Breakdown 🛠️ Rule-based Findings 📉 Maintenance Burden ✅ Actionable Recommendations The goal isn't to replace linting. The goal is to help developers understand the bigger picture. How It Works Internally, Arcovia follows a deterministic analysis pipeline. Project │ ▼ Scanner │ ▼ AST Parser │ ▼ Project Model │ ▼ Dependency Graph │ ▼ Rule Engine │ ▼ Score Engine │ ▼ Interactive HTML Report The analyzer currently detects things like: God Modules High Fan-In High Fan-Out Orphan Modules Large Components Deep JSX Nesting Oversized Modules Duplicate Imports Unused Exports Instead of simply reporting findings, Arcovia combines them into an explainable architecture score. Determ