Ethan Mollick 认为，AI 生成的答案不仅仅是其训练数据的统计平均值。他解释说，AI 模型产生的响应比简单的聚合更复杂，这表明了更深层次的处理或综合。 AI
影响 挑战了关于 AI 模型行为和输出的普遍假设。
排序理由 知名人士的观点文章。
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 →
Ethan Mollick：AI 的答案并非训练数据的平均值
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
- 知名人士的观点文章。
- 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
- Same-day
- Cluster formed today. Ranking reflects the current source set at time of score.
完整方法见我们的编辑标准。
报道来源 [1]
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不，AI 并不会给你平均答案 Ethan Mollick 解释了为什么 AI 的答案不仅仅是其训练数据的统计平均值。https:// fed.brid.
No, AI Doesn't Give You The Average Answer Ethan Mollick explains why AI answers are not just the statistical average of their training data. https:// fed.brid.gy/r//notes/2026/10/3 0/no-ai-doesnt-give-you-the-average-answer/