It got under way in 2022 and its final report is not expected until 2027. It has already cost £192m – a figure which is expected to rise past £200m by the time it is finished, making it one of the most expensive public inquiries in history.
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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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It's versatile enough that it can be used for application and systems programming. It has the best tooling of any language I've seen. It has a fairly pleasant type system. And I think most importantly it does a great job in bringing higher level language features into an environment without a garbage collector. Rust has arguably set the bar for "fast languages that are also decently expressive".