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.
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中國分析師利明璋（Bill Bishop）在其通訊中指出，春節正逐漸演變為「AI節日」，企業刻意選擇數百萬人居家並嘗試新應用程式的時段發布產品。