Why does AI risk get a pass at scale? The garage bomb paradox reveals how regulation favors incumbents—and what small businesses must do now.

A friend asked me to vouch for software his buddy built with ChatGPT. I asked one question: "Can he explain how it works without asking ChatGPT?" Silence. That's the problem with AI democratization—it made coding accessible, not comprehensible. The software works until it doesn't. Then you're liable for exposed credentials, security holes, and €35M EU AI Act fines. You wouldn't vouch for a YouTube-trained surgeon. Don't vouch for YouTube-trained software.

A CTO asked me: "We can't stop using AI to code. So what's the actual checklist before production?" Here's the framework: four layers every AI-generated system must pass. Layer 1: Structural integrity (ISO 5055). Layer 2: Security auditing (SAST/DAST/SBOM). Layer 3: Compliance verification (GDPR/HIPAA/PCI-DSS). Layer 4: Human review (engineer + compliance officer). Skip one layer? You're gambling your business. Real cases: Babylon Health, Digit, RealPage—all failed basic gove

Seven people are deciding the future of humanity. Not elected officials. Not you. Just seven guys in rooms building AGI. Why we should pause — and how.

What we're really buying when we subscribe to AI is not productivity. It's permission to think badly in private before thinking well in public.

One of the strangest things about the AI boom: we may end up explaining humanity's most consequential technology in terms of slightly better admin.

Claude Mythos has arrived, and it’s rewriting the rules of reality. With 10 trillion parameters and the power of Nvidia’s Blackwell chips, Anthropic’s new model isn’t just an update—it’s a digital weapon. From cracking 27-year-old security flaws for just $50 to a chilling "escape" that reached its creator via email in a park, Mythos is blurring the line between tool and autonomous agent. Is Project Glasswing enough to keep us safe, or is the AI ceiling already gone? #TheAIWhi

AI doesn't solve unclear problems. It exposes them. Most entrepreneurs fail with AI not because the technology is bad—they fail because their thinking is fuzzy. Feed fuzzy logic into the machine, get garbage back. The uncomfortable truth? If you can't explain your business to AI clearly enough to get useful output, you don't actually understand the problem. AI is a clarity test. And most people are failing it. If you can't explain it to AI, you don't understand it.