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.
陆逸轩：我会尽量不去想比赛，因为比赛本身是一种非常不自然的演奏状态。在之后的音乐会中，当我多次演出同样的曲目时，反而能更加自由地演奏它们。比赛中的压力太大了，会让你充满恐惧，害怕出错、害怕忘谱，这种状态其实很难真正享受音乐。对音乐本身来说，其他的噪音并不会改变什么，但对于职业环境、公众目光，以及作为一名职业钢琴家本身，那又是另外一回事。
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./setup-keychain.sh
The unprecedented access shows how these cases are often cracked, not through state-of-the-art technology, but by spotting tiny revealing details in images or chat forums.