[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dciof1ea5dc5":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":80},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dciof1ea5dc5","AI公司为什么突然疯狂买旧书？背后是一场没人注意的数据危机！","\u002Fdoc\u002Fdciof1ea5dc5","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp> \u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">我们可能低估了这场\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">战争的残酷程度。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">公司正在批量购买旧书、绝版书和外语书，用液压机切掉书脊，再高速扫描成训练数据。不是为了文化保护，而是因为互联网上高质量的人类文字快被用遍了，网络又被大量\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">生成内容污染。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">2022\u003Cspan style=\"font-family: DengXian;\">年之前出版的书，特别珍贵，因为那时候还没有\u003C\u002Fspan>ChatGPT\u003Cspan style=\"font-family: DengXian; font-size: large;\">去帮忙写稿\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">法院文件显示，\u003C\u002Fspan>Anthropic\u003Cspan style=\"font-family: DengXian;\">早在\u003C\u002Fspan>2024\u003Cspan style=\"font-family: DengXian;\">年就启动“\u003C\u002Fspan>Project Panama\u003Cspan style=\"font-family: DengXian;\">”，购买并拆解数百万本纸质书。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">$META\u003Cspan style=\"font-family: DengXian;\">等巨头也因训练数据问题卷入版权诉讼。\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">现在缺的不只是\u003C\u002Fspan>$NVDA \u003Cspan style=\"font-family: DengXian;\">的算力和\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">$MU \u003Cspan style=\"font-family: DengXian;\">的内存，还缺没有被\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">加工过的“真人数据”。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">但这不代表\u003C\u002Fspan>$NYT\u003Cspan style=\"font-family: DengXian;\">、\u003C\u002Fspan>$NWSA \u003Cspan style=\"font-family: DengXian;\">等传统媒体一定会暴富。旧书和历史新闻属于一次性存量，模型买一次、扫一次，就可能长期使用；版权诉讼虽然能提高内容价格，却未必能带来持续高增长。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">真正更值钱的，是不断更新、无法一次买断的数据：\u003C\u002Fspan>$RDDT \u003Cspan style=\"font-family: DengXian;\">每天产生真实的人类讨论，\u003C\u002Fspan>$TRI\u003Cspan style=\"font-family: DengXian;\">掌握法律和税务数据，\u003C\u002Fspan>$SPGI \u003Cspan style=\"font-family: DengXian;\">、\u003C\u002Fspan>$FDS \u003Cspan style=\"font-family: DengXian;\">掌握金融与评级数据。\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">越深入专业行业，就越离不开这些高频、准确、可追溯的数据。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">美股投资网分析认为，\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据荒真正的投资逻辑不是“有内容就值钱”，而是谁拥有机器无法免费复制、每天都在更新的人类信息。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; 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