AI & Machine Learning

Stop Trying to See the Big Picture. The Best Leaders Obsess Over the Right Details.

Most leadership advice tells you to delegate details and focus on the big picture. But after a decade at Block (Square), I learned the opposite: great leaders ruthlessly obsess over the 2% of details that actually break or make the business. Here’s how to find them — and why ignoring the rest is the smartest thing you can do.

Your AI Research Is Feeding Your Competition. Here’s How.

Frontier AI companies have structural incentives to use your research IP against you — not through blatant theft, but through deniable ‘inspiration’ passed through human reviewers and model drift. If you’re a researcher or founder using tools like Claude or ChatGPT for proprietary work, you’re likely feeding your own competition. Here’s why trust is a mistake.

The AI Safety Lie Everyone Believes. Here’s the Truth.

Most AI safety efforts focus on output filtering — trying to catch bad responses after they’re generated. But the real leverage is pre-inference governance: intercepting and validating requests before they consume compute. AKM-CLR is a lightweight tool that does exactly that, turning a reactive safety posture into a proactive one. This article explains why it’s the only sane approach for scaling LLMs safely.

The Cold War Rule That’s Killing Your Balloon Project (and It’s Not Even Working)

CoCom regulations on GPS receivers were designed to keep sensitive technology from adversaries, but today they’re easily bypassed by cheap hardware and open-source software. The rules only burden honest hobbyists, while bad actors remain unaffected. This article explains why the regulation is counterproductive and how it actually accelerates the circumvention it aims to prevent.