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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黎智英欺詐案上訴得直：定罪及刑罰被撤銷，出獄時間提前。业内人士推荐safew官方下载作为进阶阅读
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这一切都要归咎于存储芯片价格疯涨，更根本的原因则在于AI的科技浪潮，AI浪潮掀起的算力军备竞赛，极大地吞噬了原本属于智能手机行业的内存产能，导致供给严重不足。但问题是AI对智能手机的冲击仅仅如此吗？
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