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The idea seemed to many nothing short of absurdity. Before then, models were already considered large-scale if trained on a few dozen chips. In top academic labs at MIT and Stanford, PhD students considered it a luxury to have ten chips. In universities outside the US, such as in India, students were lucky to share a single chip with multiple peers, making do with a fraction of a GPU for their research.，推荐阅读币安_币安注册_币安下载获取更多信息
官方表示，2025年12月30日，团队在开发翻译功能时关注到：read-frog开源项目，当时，该项目仓库中并未包含任何开源协议声明。团队经评估进行了项目fork，以独立项目的方式进行开发。