一位Mastodon用户正在询问人们在与大型语言模型（LLM）互动时是否使用“请”和“谢谢”等礼貌用语。这个问题引发了关于礼貌是否会影响LLM响应，或者中立、直接的方法是否更有效的讨论。 AI
排序理由 社交媒体上用户生成的问题，关于与LLM的互动方式，缺乏更广泛的行业影响或新信息。
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 →
用户争论与AI聊天机器人的礼貌用语
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
- 社交媒体上用户生成的问题，关于与LLM的互动方式，缺乏更广泛的行业影响或新信息。
- 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
- 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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你对你的#LLM说“请”和“谢谢”吗，还是保持简短中立？#AI
Do you say "Please" and "Thank You" to your # LLM , or do you remain as short and neutral as possible? # AI