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English(EN) Anthropic publishes Claude's system prompt. The captured version is 13 times longer.

Anthropic 的 Claude 系统提示比发布版本长 13 倍

一个存储库捕获了来自各种 AI 模型的系统提示,揭示了公开版本与模型内部使用的版本之间存在显著差异。例如,AnthropicClaude 的公开系统提示有 4,269 个单词,而生产中使用的捕获版本有 56,148 个单词。这种差异凸显了公开的提示通常会省略操作细节、工具定义和具体指令。对这些提示的分析表明,在调整 AI 的语气和语调方面付出了巨大的努力,并且比公开的安全策略有更细粒度的拒绝类别。 AI

影响 揭示了 AI 公司如何专注于语气和细粒度的安全控制,为提示工程提供了见解。

排序理由 对 AI 模型的系统提示进行分析,而不是新模型发布或核心研究。

在 dev.to — LLM tag 阅读 →

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

Anthropic 的 Claude 系统提示比发布版本长 13 倍

本文如何被排名

Signal score
40 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
对 AI 模型的系统提示进行分析,而不是新模型发布或核心研究。
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
model release, product
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
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]

  1. dev.to — LLM tag TIER_1 English(EN) · Muhammad Tayyab ·

    Anthropic发布了Claude的系统提示。捕获的版本长13倍。

    <p>Every AI product reads a block of instructions before it ever sees your message. Who it is, what it refuses, how it formats answers, what it must never say. You do not write it and you are not shown it.</p> <p>One repo has captured <strong>430 of them</strong>, organised by ve…