If I read your linked Wiki article correctly, this is at the moment a hypothetical conept:
Seed AI is a hypothesized type of strong artificial intelligence...
Also, the compiler example is, as they say, very limited in explaining the concept, as it is only single-step and by definition the Seed AI algorithm should be infinitely recursive.
A limited example is that program language compilers are often used to compile themselves. As compilers become more optimized, they can re-compile themselves and so be faster at compiling.
However, they cannot then produce faster code and so this can only provide a very limited one step self-improvement.
If you want to know anything more, I would suggest having a look at the organizations that are doing active research in this field.
Consolidated Robotics does the AI (under the name of Consolidated), but they were bought out by Halliburton in 2005.
In 2005, the privately held Consolidated was acquired by energy conglomerate Halliburton for an estimated price of $25 billion US. The company continues to operate under the name Consolidated, though as a wholly owned and operated division of Halliburton.
One can build tiny compilers that can be augmented by additional external information. This is a kind of learning. One can start extremely small ("seed") and grow the compiler by adding knowledge until it can start acquiring it. One has to start somewhere, and assuming a seed is already big enough to grow itself without help seems self-defeating; how did it get that way?
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如果我正确地阅读了您链接的维基文章，那么目前这是一个假设的概念：
此外，正如他们所说，编译器示例在解释该概念方面非常有限，因为它只是单步，并且根据定义，Seed AI 算法应该是 无限递归。
如果您想了解更多信息，我建议您查看在该领域进行积极研究的组织。
更新
Consolidated Robotics 开发了人工智能（以 Consolidated 的名义），但他们是2005年被哈里伯顿收购。
If I read your linked Wiki article correctly, this is at the moment a hypothetical conept:
Also, the compiler example is, as they say, very limited in explaining the concept, as it is only single-step and by definition the Seed AI algorithm should be infinitely recursive.
If you want to know anything more, I would suggest having a look at the organizations that are doing active research in this field.
UPDATE
Consolidated Robotics does the AI (under the name of Consolidated), but they were bought out by Halliburton in 2005.
人们可以构建微型编译器，可以通过额外的外部信息来增强该编译器。这也是一种学习。人们可以从非常小的（“种子”）开始，通过添加知识来扩展编译器，直到它可以开始获取它。一个人必须从某个地方开始，假设一颗种子已经足够大，可以在没有帮助的情况下自行生长，这似乎是弄巧成拙的；怎么会变成这样呢？
请参阅 https://stackoverflow.com/a/35676159/120163 了解可以引导的真正小型编译器。
One can build tiny compilers that can be augmented by additional external information. This is a kind of learning. One can start extremely small ("seed") and grow the compiler by adding knowledge until it can start acquiring it. One has to start somewhere, and assuming a seed is already big enough to grow itself without help seems self-defeating; how did it get that way?
See https://stackoverflow.com/a/35676159/120163 for a truly tiny compiler that can be bootstrapped.