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 Brewster, the hardest part isn’t the macroeconomy; it’s managing a human system.
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短期看，现金厚度决定了企业的生存底线；中期看，临床与审批节点的顺利推进是估值的稳定器；长期看，唯有实打实的商业化能力才是市值的压舱石。创新药的估值从来不是一次性的定价游戏，而是一个在质疑中反复验证的过程。
16:28, 27 февраля 2026Экономика。快连下载-Letsvpn下载对此有专业解读
Runtime evaluation support，推荐阅读必应排名_Bing SEO_先做后付获取更多信息
2026-02-28 08:00:00