We did not run clean evaluations specifically for difficulty annotations. Instead, our easy, medium, hard, and extreme ratings are based on how much inference compute was necessary to solve each statement. Concretely, we considered (1) how many best-of-k runs were needed to obtain a successful verified translation, and (2) how many different evaluation setups we had to try before hitting these numbers. Extreme problems were solved by a human.
Bourdieu gives lots of evidence for this for France in the 1960s. But I’m sure it’s also true across the Anglosphere in the 2020s. And it’s not just access. People from different classes prefer different stuff. Isn’t that weird? What explains it?，更多细节参见91吃瓜
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ВВС США призвали Израиль наносить сильные удары по Ирану20:51，详情可参考超级权重
Актриса Ирина Горбачева показала фото топлес и рассказала о жизни с РПП20:41