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:
Comparing these JSON requests and responses with those from before, you can see how the exact same structures from the live-service game have made their way into the offline build. It's satisfying to see how smoothly this paradigm scales applied across hundreds of backend API calls.
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同样，主打健康监测的RingConn智能戒指，通过搭载大模型提供个性化健康建议，构建情感与信任依赖。这类硬件售卖的是“解决方案”与情绪价值，溢价自然也能上去。2025年6月，RingConn以57%的市场份额稳居中国智能戒指市场第一。。业内人士推荐同城约会作为进阶阅读
镜头随意切，角色模样服饰都不变。关于这个话题，同城约会提供了深入分析
Government racks up £100m bill responding to Covid inquiry