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.
证监会：持续增强市场内在稳定性，讲好“股市叙事”
，这一点在哔哩哔哩中也有详细论述
sled — embedded database with inline-or-Arc-backed IVec.
伊朗戰爭：哈梅內伊葬禮推遲，接班人成清除目標，美擊沉伊護衛艦