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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.

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For example, some of my own guilty displeasures are opera, old movies, and poetry. I don’t hate any of those, but I like them far less than I want to admit when I’m not writing a blog post about guilty displeasures. I have been to operas, including the full cycle of Wagner’s Nibelungen. I have friends who have made me watch black and white movies from the Hollywood golden age. I used to write poems as a teenager, like all sensitive and nerdy young men. But quite frankly, I don’t feel that I need any of those things in my life. When my friend who conducts operas at the university invites me to one, I patiently wait for the singers to quit singing so I can properly enjoy the instrumental parts of the music. When I must watch old movies, I spend 25% of the time reading the Wikipedia summary to keep myself entertained. When I read a book or blog post that quotes something in verse, I literally just skip it and hope it wasn’t important to understand the rest.。旺商聊官方下载对此有专业解读

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