The threat extends beyond accidental errors. When AI writes the software, the attack surface shifts: an adversary who can poison training data or compromise the model’s API can inject subtle vulnerabilities into every system that AI touches. These are not hypothetical risks. Supply chain attacks are already among the most damaging in cybersecurity, and AI-generated code creates a new supply chain at a scale that did not previously exist. Traditional code review cannot reliably detect deliberately subtle vulnerabilities, and a determined adversary can study the test suite and plant bugs specifically designed to evade it. A formal specification is the defense: it defines what “correct” means independently of the AI that produced the code. When something breaks, you know exactly which assumption failed, and so does the auditor.
For a moment, I forgot myself in the sheer, giddy wonder of it, lofting like a blown leaf above forests, lakes, and an old railway winding into the mountains below. Then the first wave of turbulence hit. It felt like skidding on black ice—the sudden, sickening drop, the bewildering weightlessness—only I had no brake, no steering wheel, no hope of bailing out. The closest thing to grab was a large copper-colored knob on the dashboard, labelled “RELEASE.” But I’d been told not to do that under any circumstance, unless I wanted a very short flight. (I later learned that it was meant for the towing cable.) “We’re in that rotary stuff now!” Swenson shouted from the seat behind mine. When strong winds blow over a mountain range, they’re bent into huge, oscillating waves up high, while the air below spins down the slopes in ragged gusts, known as rotor clouds. It felt like driving over a row of logs. “I once had a passenger who threw up five times before we even released the rope!” Swenson said.
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