一篇评论文章认为，AI 当前的输出由于依赖常见和无争议的人类表达而存在固有缺陷。作者认为，这种方法导致内容缺乏原创性和深度，并将其标记为“垃圾”。 AI
影响 批评了当前 AI 的能力，暗示其在生成新颖或有见地的内容方面存在根本性限制。
排序理由 知名作者发表的批评 AI 输出的评论文章。
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AI 输出因依赖传统表达而被批评为“垃圾”
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
- Commentary
- 知名作者发表的批评 AI 输出的评论文章。
- 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
- opinion
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- 78 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
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人工智能提炼出“人类表达中最平庸、最无争议的惯例”。这就是为什么它的输出，简单来说，就是垃圾
AI distills “the most pedestrian, noncontroversial conventions of human expression.” That's why its output is, put simply, slop https:// substack.nybooks.com/p/against -slop-an-interview-with-meghan # AI # Slop