2024年7月中共中央政治局召开会议，分析研究经济形势和经济工作时，由网络流行语演变而来的“内卷式”竞争第一次出现在官方表述中，指代行业之间无序竞争的一种现实问题。
南方周末：剧里有一句台词：“是非是有的，一定是有的。千秋史册在上，江山黎庶在下，此事万古不易。”为什么创作这样的历史题材剧时，是非观这么重要？。业内人士推荐51吃瓜作为进阶阅读
На помощь российским туристам на Ближнем Востоке ушли миллиарды рублей20:47。下载安装 谷歌浏览器 开启极速安全的 上网之旅。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.
A battle royale.