Week 7, 2026 — A curated selection of what matters in AI right now. February 2026 might be the most consequential month in AI history. Seven major language models launching simultaneously, the EU AI Act deadline looming, and Microsoft proving that a single prompt can break your model's safety
The most-used strategy framework in the world runs on sticky notes and Google Docs. I built a native Mac app to fix that.
Most companies want AI but can't implement it. The solution isn't more technology. It's expert partners who deliver results with human accountability.
An open-source AI assistant has exploded to 98,000 GitHub stars. It schedules meetings, writes code, and controls your smart home. It also has full access to everything on your computer. Welcome to the age of agentic AI.
The profession once terrified of AI now desperately needs it. And the data shows something surprising: firms using AI hire more auditors, not fewer.
80.9% benchmark scores. 2.3x code output. 10 weeks to 10 minutes. Here's what Claude Code actually delivers, and what it means for development teams.
A cartoon of a hatching chick inspired programming's most universal ritual. Here's how two words became every coder's first triumph.
Anthropic's new Cowork feature transforms Claude from a chatbot into an autonomous colleague that actually gets work done. After years of waiting for AI assistants that do more than chat, this might be the real thing.
Traditional development fears change. AI-powered development embraces it. The real value isn't speed—it's building systems that adapt.
87% of musicians now use AI tools somewhere in their workflow. Yet a growing resistance movement fights to preserve human creativity. The music industry is splitting in two—and both sides are shaping what comes next.
80.9% benchmark scores. 2.3x code output. 10 weeks to 10 minutes. Here's what Claude Code actually delivers—and what it means for development teams.
If you’ve ever spent an afternoon sampling a synth, drum machine, or modular setup, you know the drill. Hit record. Play a sound. Stop. Trim. Rename. Repeat. Over and over again. Audio Auto Sampler was built to remove that friction. The problem with manual sampling Most sampling workflows are
If you make music, you know the problem. You have thousands of samples. Packs you bought. Folders you organized once. Recordings, jams, half-finished ideas you forgot about. Finding the right sound often takes longer than using it. That breaks creative flow. This tool exists to remove that friction. What it