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:
Net international migration to the U.S. peaked at 2.7 million new entries in 2024, but has since sharply declined. It fell to 1.3 million last summer, according to January Census data, and then turned net negative, according to research from Brookings, meaning more people are leaving the U.S. than coming in. The private sector has weighed in, too, with Goldman Sachs economists reporting last week that immigration policies put in place over the past year have resulted in an 80% decline in net migration relative to the historical average.
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在胡敏看来，各地对“中心”的追逐并非凭空而起，看似百花齐放的定位背后，其实贯穿着三条交织的逻辑线：夯实既有的生产力基础、适应高质量发展要求创新驱动、因地制宜激发新的竞争优势。，更多细节参见下载安装汽水音乐
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В России ответили на имитирующие высадку на Украине учения НАТО18:04