However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:
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，这一点在夫子中也有详细论述
// Speaker 0: [3.36s - 4.40s]。关于这个话题，91视频提供了深入分析
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// 步骤4：当前索引入栈 → 作为前面位置（i-1、i-2等）的"参考身高"