当通用对话模型的及格线被拉平，巨头与创企们不约而同地将目光投向了下一个战略高地，也就是垂直专业领域，尤其是代码（Coding）与智能体（Agent）赛道。与吟诗作对的闲聊不同，写代码和执行复杂任务，要求模型必须具备慢思考的能力。而这也是检验大模型是否能从“玩具”变成“生产力工具”的唯一标准。
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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.。关于这个话题，体育直播提供了深入分析
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