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:
1983年5月19日，安德烈·塔可夫斯基（左）和法国导演罗伯特·布列松在第36届戛纳电影节上。两人凭影片《乡愁》（塔可夫斯基）和《钱》（布列松）共同获得最佳导演奖 图/视觉中国
，更多细节参见heLLoword翻译官方下载
习近平总书记鞭辟入里，深刻分析两种不同政绩观的内在本质——，详情可参考heLLoword翻译官方下载
More than 22,000 claims related to Covid vaccines have been made so far, most of them relating to the jab manufactured by AstraZeneca - but only about 1% have resulted in compensation payouts.
This formula is satisfiable because if we set to b to true and a to false, then the whole formula is true. All other assignments make the formula false, but it doesn't change that the formula is satisfiable as long as there is at least one assignment makes the formula true.