一位 Mastodon 用户对谷歌的 Gemini AI 表示不满，称其经常做出错误的猜测，并且至少有 50% 的时间是错的。用户建议，一个直接从互联网上引用相关引文的 AI 会更有用。 AI
影响 凸显了用户对 AI 准确性的担忧以及对更可靠、基于来源的响应的渴望。
排序理由 用户对特定 AI 模型性能的意见。
在 Mastodon — fosstodon.org 阅读 →
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
用户批评 Gemini AI 经常不准确
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
- 用户对特定 AI 模型性能的意见。
- 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
- 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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如果 #Gemini 能够搜索人类互联网就好了……但它只会猜测。错误率至少 50%。一个仅仅（而且只）会
If # Gemini would just search the damn human internet...! But instead, it just makes guesses. It's wrong at least 50% of the time. An # ai that merely (and only!) sourced relevant quotations from the internet would actually be useful.