生成式AI成败的关键在于网络安全，这份前沿研究揭示了二者之间的深层博弈。
arXiv:2606.28929v1 Announce Type: cross Abstract: Cybersecurity is a real-life test-bed for many machine learning problems at once, especially when co…
用《2001太空漫游》经典台词警示：LLM进入汽车环境面临哪些安全风险？这篇论文系统性评估并给出框架。
arXiv:2606.14327v1 Announce Type: cross Abstract: This paper appraises recent frameworks within AI development to integrate LLMs into control tasks in…
使用外部API快速构建AI看似便捷，但长期依赖可能暗藏陷阱，本文剖析了公司为何应转向自建AI基础设施。
Why Most Companies Should Own Their AI Infrastructure Every company seems to be racing toward the same destination: integrating Artificial Intelligenc…
用Git历史预测代码库中哪些文件最可能出问题，开源CLI工具FlameKit帮你一眼识别
FlameKit: Analyze Git History to Find Technical Debt, Risky Files, and Refactoring Priorities ⭐ GitHub Repository: https://github.com/mrhujaifa/flamek…
基于真实开发者查询，揭示LLM生成代码中库幻觉的具体风险与数据支撑
arXiv:2509.22202v3 Announce Type: replace-cross Abstract: Large language models (LLMs) now play a central role in code generation, yet they continue t…