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.
would hold up today, but still a roadblock to fraudsters who would have a hard
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习近平总书记鞭辟入里，深刻分析两种不同政绩观的内在本质——
trufflehog filesystem /path/to/your/code --only-verifiedThe pattern we uncovered here (public identifiers quietly gaining sensitive privileges) isn't unique to Google. As more organizations bolt AI capabilities onto existing platforms, the attack surface for legacy credentials expands in ways nobody anticipated.
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