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:
«Через неделю-две этот экстрим уже — обыденность, и к такому привыкают», — отметила россиянка.，推荐阅读咪咕体育直播在线免费看获取更多信息
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Nothing about this system makes sense, which is why I think we should build a new one. In the meantime, though, we should also fix the old one. But that’s hard, for two reasons. First, many people are invested in things working exactly the way they do now, so every stupid idea has a constituency behind it. Second, our current administration seems to believe in policy by bloodletting: if something isn’t working, just slice it open at random. Thanks to these haphazard cuts and cancellations, we now have a system that is both dysfunctional and anemic.，这一点在heLLoword翻译官方下载中也有详细论述
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