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:
Building software at Google's scale is extraordinarily difficult, and the Gemini API inherited a key management architecture built for a different era. Google recognized the problem we reported and took meaningful steps. The open questions are whether Google will inform customers of the security risks associated with their existing keys and whether Gemini will eventually adopt a different authentication architecture.
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Lambert 指出，Anthropic 把三家公司并排列在同一篇博客里，掩盖了一个关键差异：它们做的根本不是同一件事，量级天差地别，动机也各有侧重。