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:
6.9 inches (QHD+)
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人类智慧的稀缺性自带内在溢价，但机器智能正在广泛、甚至是合格且快速改进地替代着前者。好在的是，我们是在 2026 年看到这篇报告。