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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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这家曾以46名员工创造出茅台五倍多人效的公司，到底遭遇了什么？他的轻资产神话还能继续吗？
Специалисты отметили, что в октябре 2025-го наиболее бюджетная студия в столице продавалась дешевле, за 3,75 миллиона рублей. При этом удешевление, уточнили они, связано не со снижением стоимости квадратного метра, а с характеристиками конкретных лотов.