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Обвинения США против Ирана описали фразой «строят самолет в процессе полета»08:51。91视频对此有专业解读
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.
How hard can it be, I hear you saying. Difficult to imagine that enough cruft can be added to the titular program for it to become a worthy reverse engineering challenge. But I kid you not: the binary I am going to analyze – here it is – was really created by compiling，更多细节参见一键获取谷歌浏览器下载