作者对“AI”一词的过度使用表示沮丧，并将其与20世纪中期对“电子大脑”的过度炒作进行了比较。他们认为，“AI”一词经常在不解释技术能力、机制或社会影响的情况下被使用，这使得它在理解其真正价值或潜在风险方面毫无帮助。 AI
排序理由 观点文章，谴责一个常用词的过度使用，缺乏具体新闻价值。
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作者谴责“AI”炒作是过去科技潮流的令人厌烦的回声
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
- 观点文章，谴责一个常用词的过度使用，缺乏具体新闻价值。
- 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
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- 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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听到计算领域的新事物都被称为“# AI ”，就像读 20 世纪 50 年代和 60 年代那些滔滔不绝吹捧什么的图书和文章一样令人厌倦，它们对当时的事物大加赞赏，而现在呢
Hearing every new thing in computing termed as ' # AI ' is as tiresome as reading books and articles from the 1950s and 1960s that gushingly fawn over what the new-fangled 'electronic brains' will do for us. Neither term helps one bit in explaining what the technology can do for …