The problem compounds because AI search is still in its explosive growth phase. Usage is doubling and tripling year over year as more people discover these tools and integrate them into their daily workflows. The traffic opportunity today is significant, but it's tiny compared to what it will become in the next few years as AI search becomes default behavior for entire demographics.
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。关于这个话题，搜狗输入法2026提供了深入分析
zhuanlan.zhihu.com/p/198274063…
模块化功能层：覆盖全生命周期的数据治理。快连下载安装是该领域的重要参考
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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