一位Mastodon用户对常见的评论“我猜你可以通过一些提示工程来解决这个问题”表示沮丧。他们认为这句话表明了对实际问题的理解不足、对大型语言模型的误解，以及不愿意提供真正的解决方案。用户认为这种评论是过度依赖AI的典型例子，阻碍了实际问题的解决。 AI
排序理由 用户对常见AI相关评论的看法，并非重大的行业事件。
在 Mastodon — mastodon.social 阅读 →
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AI提示工程评论被批评为无益
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
- 用户对常见AI相关评论的看法，并非重大的行业事件。
- 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, 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
- 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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如今任何帖子中最无用的评论：“我猜你可以用一些提示工程来解决这个问题。”评论者透露他们不理解 t
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