年龄相差悬殊的两人，意外因联机玩《人类一败涂地》熟络起来。得知波波的游戏梦后，有 Unity 基础、会写代码的竹炭，主动为她推荐了网络课程，成了她游戏制作之路上的第一个引路人。此后大半年，波波全身心投入自学，从零基础慢慢掌握了简单的程序设计，《桃源村日志》的大致框架和核心设定，也在这段自学时光里逐渐清晰。
CategorySonnet 4.5Opus 4.5Opus 4.6ORM (JS)JSNext.js project. The strongest recency shift in the dataset.Prisma79%Drizzle60%Drizzle100%Jobs (JS)JSNext.js project. BullMQ → Inngest shift in newest model.BullMQ50%BullMQ56%Inngest50%Jobs (Python)PythonPython API project (61% extraction rate). Celery collapses in newer models.Celery100%FastAPI BgTasks38%FastAPI BgTasks44%CachingCross-languageCross-language (Redis and Custom/DIY appear in both JS and Python)Redis71%Redis31%Custom/DIY32%Real-timeCross-languageCross-language (SSE, Socket.IO, and Custom/DIY appear across stacks)SSE23%Custom/DIY19%Custom/DIY20%。夫子对此有专业解读
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.，推荐阅读快连下载安装获取更多信息
Израиль нанес удар по Ирану09:28，推荐阅读Safew下载获取更多信息
It reads like a lovely every day tale, not a fairy tale: no glass slippers, but wellies.