Seven hours apart. Two headlines. Together they read like a single sentence. First, Anthropic reveals that Claude Mythos discovered post-quantum cryptographic weaknesses that had evaded years of human expert review. Original cryptanalysis. Not pattern matching against known vulnerabilities. The model found something human specialists had not found. Seven hours later: over 1,100 employees from OpenAI, Anthropic, Google, and Meta sign a letter calling for a U.S.-backed global e

MIT's State of AI in Business report found that 95% of enterprise generative AI pilots fail to deliver measurable ROI. Not “underperform.” Fail — no return the company can point to. Separately, Gartner surveyed companies on their AI-driven workforce reductions and found that 80% had cut headcount, with zero correlation between the size of the cut and any resulting improvement in ROI. Cutting people didn't produce better numbers. It just produced fewer people. Then there's the

Today America turns two hundred and fifty, and I've got a confession: I love this holiday more than almost any other, and it has almost nothing to do with fireworks and everything to do with fireworks. Let me explain. I've been building professional-grade firework shows since I was about ten years old, and I'm fifty-one now, so do the math — that's four decades of taking a legal-adjacent hobby entirely too seriously. It started with wooden shipping pallets, five or six of the

Fourteen months ago I wrote a piece called "Why We NEED a Billion Robots." The thesis was simple: the AI conversation was obsessed with the wrong half of the workforce. Everyone was watching chatbots write emails while ignoring the fact that nobody had figured out how to automate a plumber, an electrician, or a warehouse picker. I argued that solving machine intelligence was the easy part — manufacturing that intelligence into a body that could actually do physical work was t