enum AccountType {
从公元前600年左右起，欧亚大草原上的人们开始掌握骑术。到公元前400年左右，与农耕民族交界的北方游牧部落将骑马与射箭相结合，形成了一支马背上的强大军事力量。骑兵出现后，农耕民族与游牧部落之间的贸易活动和文化交流日益兴盛。无论是赵武灵王的“胡服骑射”还是秦汉长城的修筑，都与来自欧亚草原的骑兵密切相关。骑兵尤其是重装骑兵的出现革新了战争形态。文献记载的“甲骑具装”，为将士和马匹都披上厚重铠甲，可如同坦克一般冲锋陷阵，所向披靡。湾漳壁画墓出土的甲骑具装俑（见图）便是这一兵种的真实写照。近年来，在邺城正南门朱明门外的护城河中，意外发现了一具保存相对完好的“甲骑具装”铁铠实物。当时能够编入军队的这类兵种数量或许还相对有限，也存在一些马身未披铠甲的骑兵。
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Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.