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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63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
一路上,几个乘客基本无话,后排我们三个挤得紧紧的,胳膊肘都没法舒展,只能尽量保持不动,生怕不小心蹭到身边人。车主倒是侃侃而谈,说她非专业跑顺风车的,顺路拉几个人只是为了凑个油费。好在快到我们县城的时候,有一位乘客先下车,后排空间才宽松起来。因为是顺风车,需要逐一送每位乘客,而我是最后一位,所以我到家的时间已经是下午4点左右了。粗略算了下路上的时间,坐顺风车与坐火车再倒客车的时间相差无几,只是体验反而更差了些。。关于这个话题,safew官方下载提供了深入分析
If you look at all of the JS glue code for the single call to console.log above, you’ll see that there is a lot of overhead. Engines have spent a lot of time optimizing this, and more work is underway. Yet this problem still exists. It doesn’t affect every workload, but it’s something every WebAssembly user needs to be careful about.