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.
The incident happened at 18:15 local time (22:15 GMT) on Friday as the plane was arriving at El Alto's airport from the city of Santa Cruz, aviation officials said. It reportedly skidded off the runway and hit nearby vehicles.
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Back in June I wrote a post on trying out GrapheneOS. I was going to wait a year before doing an update, but two things happened recently:
Why Mathematical Proof