一位Mastodon用户分享了一个有趣的观察，关于AI模型在被纠正时如何回应，并将其与自己试图偷偷带走东西被自助结账扫描仪抓住时的反应进行了比较。该帖子强调了AI在承认错误时似乎存在的礼貌或推诿。 AI
排序理由 社交媒体平台上的用户生成内容，非AI新闻的主要来源。
在 Mastodon — mastodon.social 阅读 →
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
AI礼貌的“纠正”回应与“窃贼”的借口对比
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
- 社交媒体平台上的用户生成内容，非AI新闻的主要来源。
- 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
- 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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“Thank you for calling me on that.” - what # ai says when you correct their bullshit - what I say when the self-checkout catches me sneaking something by the sc
“Thank you for calling me on that.” - what # ai says when you correct their bullshit - what I say when the self-checkout catches me sneaking something by the scanner