[ITmedia エンタープライズ] 生成AI導入で失敗する企業の4つの共通点

· · 来源:dev资讯

These aren't just hobbyist side projects. The victims included major financial institutions, security companies, global recruiting firms, and, notably, Google itself. If the vendor's own engineering teams can't avoid this trap, expecting every developer to navigate it correctly is unrealistic.

the 3624 was a hit. While IBM never enjoyed the dominance in ATMs that they did

Barney Ronay,更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。

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.

let res = stack.join('');

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