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.
This is the approach Harrison and I were originally talking about, and it’s the one I reach for most. If you already use 1Password, the CLI (op) makes this almost frictionless.
，更多细节参见im钱包官方下载
而在去年 11 月，字节跳动技术副总裁杨震原曾透露，PICO 将于 2026 年推出新一代产品。，这一点在搜狗输入法2026中也有详细论述
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