English(EN) Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog. So

AI模型训练于历史文献和人类写作

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 11:30

大型语言模型是在海量文本数据上训练的，包括莎士比亚和爱因斯坦等历史人物的作品，以及哲学著作和个人博客。这种对人类写作的依赖凸显了先进的AI技术是如何建立在数千年前的一项基本人类发明之上的。 AI

影响凸显了人类写作在当前AI技术发展中的基础性作用。

排序理由该条目讨论了LLM的训练数据，并将其与历史文献和人类写作进行类比，这是一篇观点/评论文章。

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本文如何被排名

Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 该条目讨论了LLM的训练数据，并将其与历史文献和人类写作进行类比，这是一篇观点/评论文章。
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: 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: Standard; On-topic for AI-industry coverage; kept in the public index.
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 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-09-02 11:30

大型语言模型在海量人类写作数据集上进行训练。莎士比亚、哲学家、爱因斯坦的论文，还有谁知道呢，甚至可能还有我的博客。所以

Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog. So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years ol…

链接 ctnet.co.uk/most-important-invention-writ…

本文如何被排名

报道来源 [1]

大型语言模型在海量人类写作数据集上进行训练。莎士比亚、哲学家、爱因斯坦的论文，还有谁知道呢，甚至可能还有我的博客。所以

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