One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
OpenAI周五发布的声明称，亚马逊、英伟达和软银在该轮融资中分别投资了500亿美元、300亿美元和300亿美元。这笔投资使OpenAI的估值达到7300亿美元(未计入投资前)，相较于其10月份在二级融资中的5000亿美元估值，实现了大幅增长。OpenAI表示，随着本轮融资的推进，预计其他投资者也将加入。（证券时报）
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