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.
allocation. If, for instance, we can fit 4 tasks in that backing store,
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OPEC+ Looks Willing to Defy Oil Bears’ Warnings AgainThe group has gained room to maneuver thanks to factors beyond its control.
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