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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:
，这一点在同城约会中也有详细论述
苹果对此回应称，并无证据表明高管在推介 AI 进展时预知关键的 Siri AI 功能会大幅跳票，更无证据显示延迟导致了 iPhone 16 系列的销售下滑。
Whether this data could be subject to government requests or legal processes
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