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:
Source: Computational Materials Science, Volume 267
。Line官方版本下载是该领域的重要参考
Дания захотела отказать в убежище украинцам призывного возраста09:44
寵物市場在中國大陸也在朝著萬億（兆）規模發展。荷蘭跨國會計師事務所畢馬威（KPMG）引用Statista數據推算，2025年為8114億元人民幣（1176億美元；3.69兆元新台幣；9191億港元）。