I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
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Science & Environment
与AI服务器“抢食”内存产能的同时，手机自身对内存的需求也在急剧膨胀。CounterPoint Research发布报告称，2025年12月全球智能手机平均内存（DRAM）为8.4GB，创历史新高。在高端手机市场（售价超600美元），平均内存容量更是达到了约11GB。为了满足高强度多任务处理和端侧大语言模型（LLM）的本地运行需求，12GB内存正在迅速成为高端智能手机的基础标准配置。。关于这个话题，服务器推荐提供了深入分析