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English(EN) ⬆️ @ vij Part of the problem is that # AI has become a meaningless catchall phrase for what we used to call signal processing, regression, queueing theory, … ba

作者声称AI的广泛定义模糊了具体领域

“AI”一词已成为一个过于宽泛的总称,涵盖了信号处理、回归分析和排队论等领域。这种广泛的应用模糊了所涉及的具体数学和统计技术。作者对AI的推理能力表示怀疑,尤其是在无法获得完整知识的动态环境中,并质疑近期AI成就的有效性。 AI

影响 挑战了对AI的普遍理解,表明在技术讨论中需要更精确的术语。

排序理由 该条目是一篇评论文章,讨论AI的定义和范围,而不是事实公告或发布。

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 →

作者声称AI的广泛定义模糊了具体领域

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该条目是一篇评论文章,讨论AI的定义和范围,而不是事实公告或发布。
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
opinion
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AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
45 days old
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完整方法见我们的编辑标准。

报道来源 [1]

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

    ⬆️ @ vij 问题的一部分是 #AI 已成为我们过去称为信号处理、回归、排队论等的无意义的总称,ba

    ⬆️ @ vij Part of the problem is that # AI has become a meaningless catchall phrase for what we used to call signal processing, regression, queueing theory, … basically everything we learned in math, statistics, operations research, and so on. I'm still dubious about reasoning fro…