[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
Anthropic 放弃核心 AI 安全承诺
。WPS官方版本下载对此有专业解读
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:
（三）被处罚人在当地没有固定住所，不当场收缴事后难以执行的。