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.
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智能涌现:包括中科第五纪在内,最近采访的多家具身智能公司都说自己的机器人在工业场景搬箱子。但你提到,即使这个看似简单的任务,真能做好的企业也不是很多,所以从模型能力来看,具身机器人搬箱子的难点是什么?
Раскрыты подробности похищения ребенка в Смоленске09:27