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AI is code – and can't be prompted into being smarter

摘要

内容强调 AI 代理因不可信而不应被赋予危险权限。文中列举了多个案例:KPMG 的 AI 报告中 45 个引用仅 5 个真实,暴露出严重的幻觉问题;GitHub 因疑似蠕虫感染清理了 70 多个微软仓库;同时介绍了 Netflix 工程师开源的 AI 降本工具 Project Headroom 以及 AWS Graviton 5 的性能进展,警示开发者关注 AI 的工程边界与安全隐患。

荐读理由

通过获取 Netflix 开源的 Project Headroom 这一具体工具来优化 AI 成本,并借“AI 即代码”的视角修正研发策略,将精力从不稳定的提示词调优转向确定性的工程架构实现。

原文

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