一条内裤的“远征”: 巴迪高试图用“0手触”撬动一次性内裤的信任缺口 | 早期项目

· · 来源:dev资讯

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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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If you want something fully split with thumb clusters and a columnar layout but that’s a little less minimal than the Zsa Voyager— and wireless to boot — the Advantage 360 from Kinesis, makers of the popular Advantage 2 is a good one to check out. It looks like it comes from an ‘80s-era IBM office, but is somehow also from the future. The tenting goes from low to intense and the key well curves concavely to meet your fingers where they naturally land. The 360 is per-key programmable, works with layers and has four macros keys.