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:
Denuvo Anti-Tamper — Wikipedia。关于这个话题，夫子提供了深入分析
当前的核心消费群体是“科技育儿先锋族”，这些家长更关注产品的安全性和内容的适配性。而潜力人群则指向都市独居群体，对他们来说，情绪价值尤为重要，使用场景更加碎片化，依赖性也更强。，详情可参考91视频
现在，AI 硬件，苹果也打算这么干了。