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AI 写代码提速之后，测试系统先跟不上了

本页汇总本期引用的官方公告、论文和代码仓库。点击条目即可前往原始页面。

01Anthropic：测试系统扩容复盘原始资料https://claude.com/blog/agentic-coding-is-straining-ci-heres-how-we-scaled-test-impact-analysis-at-anthropic↗ 02Apple：Siri AI 开始开放及地区限制原始资料https://www.apple.com/newsroom/2026/09/siri-ai-a-profoundly-more-capable-and-personal-assistant-is-here↗ 03路透社：企业客户的数据留存担忧（转述 The Information）原始资料https://wsau.com/2026/09/14/palantir-nvidia-curb-ai-model-use-over-data-fears-the-information-reports/↗ 04Anthropic：9 月 1 日公布的企业安全监控方案原始资料https://www.anthropic.com/news/enterprise-frontier-safeguards↗ 05NVIDIA：本地 Agent Portable Computer 开放 Windows 支持原始资料https://blogs.nvidia.com/blog/local-ai-perplexity-windows-pcs/↗ 06LIT 论文原始资料https://arxiv.org/abs/2609.12641↗ 07LIT 代码与开放范围原始资料https://github.com/MAGICLAB-NUS/LIT↗ 08LIT 实机模型权重原始资料https://huggingface.co/shailes-h/Molmoact2-LIT↗ 09SAS 论文原始资料https://arxiv.org/abs/2609.13141↗ 10SAS 训练、评测与推理代码原始资料https://github.com/Tencent-Hunyuan/Simple-Attention-Sparsification↗ 11SNAP3D 论文原始资料https://arxiv.org/abs/2609.13146↗ 12SNAP3D 演示原始资料https://lucytuan.github.io/SNAP3D/↗ 13SNAP3D 仓库（代码待发布）原始资料https://github.com/LucyTuan/SNAP3D↗