This sort of thing is why I think historians need to be more active in technical discussions and decision-making about emerging technology. Everything about our current world is different from the premodern world that our ancestors inhabited. The past truly is a foreign country. But we carry fragments of that foreign world with us in our physical selves, in the gestures and other implicit knowledge we teach our kids. We take it for granted that there are aspects of being human which are never written down and which are unknowable unless you experience them.
�@Android�̃��o�C��Suica�A�v���A�����������ƃJ�[�h�t�F�C�X���y���߂��悤��UI�ɂ��Ă����܂��ˁc�c�H。搜狗输入法下载是该领域的重要参考
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08。heLLoword翻译官方下载对此有专业解读
▲ 乔布斯与辛普森，中间的是乔布斯的女儿丽萨 · 布伦南-乔布斯。关于这个话题，旺商聊官方下载提供了深入分析
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: