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:
Some games might even find a way to make both types of backend operation part of their design. Imagine an always-online MMO style game where server-authoritative data is critical. Now imagine a standalone offline side-story that uses the same gameplay mechanics and systems. The same C# code powers both modes, but is used in drastically different ways.
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美國學者戈登表示，若要預測美國下一個「禁止進口令」是否會針對台灣製造商，她坦言「完全無法預測」，但製造商是否應該擔心？「答案是肯定的，只要工人處於符合強迫勞動定義的環境，就應該感到憂慮。因為我們必須徹底消除強迫勞動。」
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