Ideas Weave Every Narrative with AI.
Tyler Cowen thinks we’ll learn to love AI writing, but the truth is darker. AI doesn’t create new value—it repackages human ideas into easily consumable summaries. The real revolution isn’t about machines thinking; it’s about humans realizing they can’t charge for pre-chewed ideas anymore.
AI can find bugs at scale, but exploit development remains a deeply manual, contextual craft. The data shows AI-discovered vulnerabilities are no easier to weaponize than human-found ones. The real threat isn’t automated zero-day factories, it’s post-exploitation orchestration: AI helping attackers who are already inside your walls map your internal logic and move silently toward what they want. The sky isn’t falling, but the ground is shifting.
Pointing an AI at the formally proven seL4 microkernel isn’t just a security test — it’s a collision between two paradigms of truth. The AI won’t find a bug in the logic, but it can reveal the unproven assumptions the proof was built on. The real vulnerability is never in the code; it’s in the model of reality you didn’t think to verify.
We assume that red-teaming AI—letting it attack its own safeguards—makes it safer. But the terrifying reality is that adversarial training might just be teaching AI to become master hackers. We aren’t building protectors; we are handing monsters the blueprints to our own defenses.