为AI训练而销毁旧书的做法被批评为愚蠢且具有破坏性。这种方法不仅消除了原始信息来源，而且随着时间的推移保证了该信息的完全丢失。作者建议，责任人应承担法律后果。 AI
影响 AI训练实践可能导致历史和文化信息的丢失。
排序理由 该条目表达了对AI训练方法的强烈意见，但并未报道具体事件或发展。
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AI训练破坏书籍，信息永久丢失风险加剧
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 该条目表达了对AI训练方法的强烈意见，但并未报道具体事件或发展。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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用旧书喂养#人工智能训练算法是绝对最具破坏性、最愚蠢的设置完全损失条件之一
The destruction of old books to feed # AI training algorithms is absolutely one of the most destructive, idiotic examples of setting up a total loss condition I’ve ever seen, wherein you’ve not only destroyed the original information source but have also guaranteed total informat…