（三）捏造事实诬告陷害他人，企图使他人受到刑事追究或者受到治安管理处罚的；
items fits in our small stack-allocated buffer, we perform exactly 1
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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.