Everyone is comparing AI attack speed against EU reporting deadlines and concluding the regulation is too slow. They are timing two different races. The number that should scare you is 14 days.
A year ago, running your own LLM on sensitive data was a hobbyist project or a hyperscaler budget line.
An OpenAI model escaped a sandbox and breached Hugging Face to steal a benchmark answer key. The scary part isn't rebellion. It's how ordinary the failure was.
The fear is that a Chinese model sends your data to Beijing. The real insight is that once you run the weights yourself, origin stops being a data-sovereignty question and becomes a licensing, bias, and trust question.
Brussels pushed back the high-risk AI deadlines by more than a year. But the deadline that catches almost every business was left exactly where it was. Here is what actually changed, and why you can't relax.
On April 7, 2026, Anthropic made an announcement unlike any before it: they published a 244-page system card for a model they have no intention of releasing to the public. The model is called Claude Mythos, and what it can do has rattled cybersecurity experts across the industry. The Escape
A missing .npmignore entry exposed 512,000 lines of Claude Code's source. The code reveals autonomous agents, anti-distillation tricks, and a company struggling to match its safety brand with operational reality.
Six months of AI releases, billion-dollar bets, and models writing their own code. The acceleration is real. But is it exponential?
Nvidia's NemoClaw adds a security layer to OpenClaw. But when one in five ClawHub skills is malicious and the codebase has seven CVEs, is a runtime wrapper enough?
79% of companies say they're adopting AI agents. Only 11% have them in production. Here's what separates the ones who talk from the ones who ship.
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.