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English(EN) @ gimulnautti Love Doctorow! Agreed. But as these companies become oligarchs (or monopolies), it doesn't matter if their products are good or the service works

AI 的准确性问题：公司优先考虑规模而非质量

作者 PulseAugur 编辑部 · [1 个来源] ·

当前 AI 的状态，特别是大型语言模型，其特点是过程知识的贬值。随着 AI 领域的公司越来越像寡头或垄断者，其产品质量和准确性成为次要考虑因素。这种趋势的典型代表是缺乏真正准确性概念的 LLM，它们只是根据示例进行训练，如果其输出仅仅是“足够好”就算成功。 AI

影响 LLM 中对“足够好”的输出的关注可能会阻碍真正的 AI 进步和用户信任。

排序理由 该条目是一篇评论文章，讨论了 AI 的状态及其商业影响，没有发布新产品、研究或政策。

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 →

AI 的准确性问题：公司优先考虑规模而非质量

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该条目是一篇评论文章，讨论了 AI 的状态及其商业影响，没有发布新产品、研究或政策。
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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, other
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37 days old
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    爱 Cory Doctorow！同意。但随着这些公司成为寡头（或垄断者），他们的产品好不好用、服务成不成功就无关紧要了

    @ gimulnautti Love Doctorow! Agreed. But as these companies become oligarchs (or monopolies), it doesn't matter if their products are good or the service works well. So, process knowledge gets devalued. That's where we're at with # AI (at least LLMs) - a tool that has no concept …

    链接 mastodon.green/@gimulnautti

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