AI训练讨论发布于LessWrong

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 15:14

djbinder于2026年10月2日在LessWrong上发布的文章《All the training in the world》是defensesindepth.bio的链接帖。正如LessWrong上的AI标签和标题本身所示，这似乎是一篇与AI训练相关的讨论或分析。在访问链接内容或完整文章之前，无法获得关于具体内容或论点的更多细节。 AI

影响这篇文章可能有助于AI社区关于训练方法及其影响的讨论。

排序理由该项目是讨论论坛上的链接帖，而非原始公告或研究论文。

在 LessWrong (AI tag) 阅读 →

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 该项目是讨论论坛上的链接帖，而非原始公告或研究论文。
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: High; Clearly on-topic for AI-industry coverage.
Story freshness: 1 days old; Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

LessWrong (AI tag) TIER_1 English(EN) · djbinder · 2026-10-02 15:14

全世界的训练

<p>The US has about 150 million workers. How long did it take them to learn to do what they do? I'm interested in this because of the analogous question for AI. Running an AI on a job and training it to do the job are different costs. In <a href="https://defensesindepth.bio/when-…

本文如何被排名

报道来源 [1]

全世界的训练

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