: a custom BuildKit frontend that reads a YAML spec and produces Alpine APK packages. No Dockerfile involved. The entire build pipeline — from source compilation to APK packaging — runs inside BuildKit using LLB operations. Think of this like a dummy version of Chainguard’s melange
Wetter winters more common
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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.
据悉，苹果不仅于 2025 年 3 月推迟了 Siri AI 功能的部分升级，其 CEO 库克也在两个月后公开承认，开发更具个性化的 Siri「所花的时间比我们预期的要长」。