刘年丰：操作的核心是操作对象，但以前的主流模型太关注全局信息。我们的思路是：通过多个二维热力图，把要操作的对象位置自适应地学习出来，让模型意识到什么是最需要响应的操作对象。
长文本生成：得益于混合线性注意力架构，在生成长达 500 行的重构代码 + 注释时，速度非常快，没有出现“断触”或逻辑崩坏。
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One of the criticisms about AI generated code is that it “just regurgitates everything on GitHub” but by construction, if the code is faster than what currently exists, then it can’t have been stolen and must be an original approach. Even if the explicit agentic nature of rustlearn makes it risky to adopt downstream, the learnings from how it accomplishes its extreme speed are still valuable.