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.
"We're going to get there in steps, continue to take down risk as we learn more and we roll that information into subsequent designs," Isaacman said told CBS News. "We've got to get back to basics."
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Сайт Роскомнадзора атаковали18:00。关于这个话题，51吃瓜提供了深入分析
h->next_free = free_table[bucket];