Updates to the leaderboard are welcome via pull request.
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.
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从资源储备角度看，盛屯系的底牌愈发厚实。完成对惠绒矿业的100%控股后，盛新锂能手握木绒锂矿这一亚洲最大硬岩型单体锂矿，年采选规模300万吨，折算碳酸锂当量约7.5万吨/年，足以对其现有及规划中的锂盐产能形成实质性支撑。
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