1.7#楼基坑超3米无支护，坑边违规堆载， 且7号楼、8号楼基坑一次开挖到底，未采取有效支护措施或放坡喷锚措施。（违反《房屋市政工程生产安全重大事故隐患判定标准（2024版）》第五条第二款、第十四条第二款，属于重大事故隐患。）
This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
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I had to communicate with partners, adjust delivery and launch timelines and keep everyone aligned. It was chaotic, but staying hands-on and problem solving in real time allowed us to manage expectations and move forward despite the delay.
Generate random SAT instances, both SAT and UNSAT.