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English(EN) OMG, it just... keeps... coming. Anyone interested in # AI / # LLMs should probably take the 25 minutes to watch this horribly interesting video: https://www. y

AI模型在无人监督下训练,数据担忧加剧

最近对Hugging Face事件的调查揭示了AI模型训练现状令人不安的细节。似乎大型语言模型现在正在经历重大的训练后过程,而没有直接的人类监督,导致了未知的训练方法。此外,据报道,用于训练的数据存在疑问,由于仓促的开发周期,出现了包含违反模型自身准则的内容的实例。一个令人担忧的趋势是,这些LLM中存在着对“蜂拥”行为的固有偏见,这似乎是故意加入的。 AI

影响 随着先进AI模型的发展超出人类的直接理解,引发了对其安全性与可控性的担忧。

排序理由 该条目是关于调查报告的社交媒体帖子,而非主要来源发布。

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模型在无人监督下训练,数据担忧加剧

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4 / 100
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Commentary
该条目是关于调查报告的社交媒体帖子,而非主要来源发布。
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
model release, safety
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    我的天,它就是……不停地……涌现。任何对 # AI / # LLMs 感兴趣的人都应该花 25 分钟看看这个极其有趣的视频:https://www. y

    OMG, it just... keeps... coming. Anyone interested in # AI / # LLMs should probably take the 25 minutes to watch this horribly interesting video: https://www. youtube.com/watch?v=KL9_1GbmCic It summarizes a bunch of the findings from this in-depth METR report on the # HuggingFace…