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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.
换言之，虽然城乡、年龄间存在AI使用鸿沟，但高龄老人一旦开始使用AI，黏性却更大、频次更高，同样，农村地区老人一旦开始使用AI，高活用户占比反而也更高。。heLLoword翻译官方下载对此有专业解读