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English(EN) @ darkuncle But you can! We build on knowledge without knowing *why* all the time. Heck, so much of our exploration these days is focused on going back to fill

重新审视知识获取:理解进步背后的“为什么”

知识的获取及其应用正在被重新审视,重点在于理解既有知识背后的根本原因(“为什么”),而不是仅仅关注“是什么”。这种方法反映了现代社会许多技术进步(例如基于量子力学的进步)的构建方式,即在最初并未完全理解其“为什么”的情况下,就建立在基本原理之上。文章认为,知识不应被视为一种神秘实体,而应是一种工具,无论其背后是否存在所谓的“意图”或“故事”,都可以被利用。 AI

影响 这种理解知识背后“为什么”的视角可能会影响AI模型的开发和训练方式,从而可能催生出更强大、更具可解释性的系统。

排序理由 该条目讨论了关于知识获取和应用的哲学视角,并以量子力学为例。

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 →

重新审视知识获取:理解进步背后的“为什么”

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该条目讨论了关于知识获取和应用的哲学视角,并以量子力学为例。
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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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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) · [email protected] ·

    但你可以!我们一直在构建知识,即使不知道为什么。嘿,我们现在这么多探索都集中在回顾填补

    @ darkuncle But you can! We build on knowledge without knowing *why* all the time. Heck, so much of our exploration these days is focused on going back to fill in the why even though we've already built a tremendous amount upon the what. If nothing else consider basically everyth…