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Stewart Brand thinks big and long. He thinks on a planetary scale – as suggested by the title of his celebrated Whole Earth Catalog – and on the longest of timeframes, as with his Long Now Foundation, which looks forward to the next 10,000 years of human civilisation. He has had a lifelong fascination with the future, and anything that could get us there faster, from space travel to psychedelic drugs to computing. In fact, he was arguably the bridge between the San Francisco counterculture of the 60s and present-day Silicon Valley: in his commencement speech at Stanford University in 2005, Steve Jobs eulogised the Whole Earth Catalog and Brand’s philosophy, and echoed its farewell mantra: “Stay hungry. Stay foolish.”，详情可参考WPS下载最新地址
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After OpenAI released GPT-5.3-Codex (high) which performed substantially better and faster at these types of tasks than GPT-5.2-Codex, I asked Codex to write a UMAP implementation from scratch in Rust, which at a glance seemed to work and gave reasonable results. I also instructed it to create benchmarks that test a wide variety of representative input matrix sizes. Rust has a popular benchmarking crate in criterion, which outputs the benchmark results in an easy-to-read format, which, most importantly, agents can easily parse.