In January 2024, CVE-2024-21626 showed that a file descriptor leak in runc (the standard container runtime) allowed containers to access the host filesystem. The container’s mount namespace was intact — the escape happened through a leaked fd that runc failed to close before handing control to the container. In 2025, three more runc CVEs (CVE-2025-31133, CVE-2025-52565, CVE-2025-52881) demonstrated mount race conditions that allowed writing to protected host paths from inside containers.
From a technical perspective, the status quo works. WebAssembly runs on the web and many people have successfully shipped software with it.
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Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
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3.监理单位未按要求派驻监理人员，监理人员数量不足，且人员不符合要求。总监工程师长期不在岗履职，未见打卡及会议签到记录；专业监理工程师一人在岗，但无社保；现场问题较多，监理形同虚设。