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Bias risksArtificial intelligence tools are trained on vast quantities of material — articles, images, artwork, research papers, YouTube transcripts, etc. And that means these models often reflect the biases of their creators. While major AI companies try to calibrate their models to avoid offensive or discriminatory statements, these efforts may not always succeed.，推荐阅读WPS下载最新地址获取更多信息
2 月 26 日，Afterpay 母公司 Block 的掌门人 Jack Dorsey 在 X 上发帖表示：“we're making @block smaller today。”
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