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English(EN) # LLM are very bad for feedback, for # peerreview . Nothing is ever good enough for them and they also contradict themselves. You have them generate a paragraph

大型语言模型因缺乏理解能力和糟糕的反馈能力而受到批评

大型语言模型(LLMs)因其在提供有意义反馈方面的不足而受到批评,尤其是在同行评审等场景下。用户报告称,大型语言模型常常无法掌握内容的比例,导致提出的批评不能反映真正的理解。这种缺乏理解意味着大型语言模型并非真正智能,甚至可能与其先前的建议自相矛盾。 AI

影响 大型语言模型可能不适用于需要细致理解或一致反馈的任务,这可能会限制它们在同行评审等领域的应用。

排序理由 来自Mastodon用户对大型语言模型能力提出批评的观点文章。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

大型语言模型因缺乏理解能力和糟糕的反馈能力而受到批评

本文如何被排名

Signal score
5 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
来自Mastodon用户对大型语言模型能力提出批评的观点文章。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
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
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 [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · tuomov ·

    如果写一篇重要文章——比如政治宣言之类的——我也会自我批评几次,但#LLM们完全缺乏比例感

    I would also critique myself several times if writing an important text – a political manifesto or something – but the # LLM s completely lack sense of proportionality. This points to them not really understanding the content. They are not intelligent. 2/2 # AI

  2. Mastodon — mastodon.social TIER_1 English(EN) · tuomov ·

    大型语言模型对反馈、同行评审非常不利。它们永远觉得不够好,而且还会自相矛盾。让它们生成一段话

    # LLM are very bad for feedback, for # peerreview . Nothing is ever good enough for them and they also contradict themselves. You have them generate a paragraph or so, improve it a little bit, ask for feedback on the improvement, and they start critiquing their own earlier change…