--- title: "Every - 信源与标准 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/sources/every/" dateModified: "2026-07-07" datePublished: "2026-07-07" --- 打开 AI·外脑目录 AI·外脑 [返回专栏首页](https://siyuanailab.com/knowledge/) × 站内搜索 ⌕ 主要栏目 - [AI 核心概念](https://siyuanailab.com/knowledge/ai-core/) - [工作流](https://siyuanailab.com/knowledge/workflows/) - [工具配置与选型](https://siyuanailab.com/knowledge/toolkits/) - [信源与标准](https://siyuanailab.com/knowledge/sources/) - [场景案例 待开发](https://siyuanailab.com/knowledge/scenarios/) - [职业与能力](https://siyuanailab.com/knowledge/career/) 专题 - [从这里开始](https://siyuanailab.com/knowledge/start/) - [获取与安装](https://siyuanailab.com/knowledge/install/) - [建设日志](https://siyuanailab.com/knowledge/ops/) [信源与标准子目录](https://siyuanailab.com/knowledge/sources/) 信源分级与框架（1） - [AI 学习信源：如何分级与使用](https://siyuanailab.com/knowledge/sources/ai-source-principle/) 官方文档与产品更新（6） - [Google AI 官方动态](https://siyuanailab.com/knowledge/sources/google-ai-official-updates/) - [MCP 官方文档](https://siyuanailab.com/knowledge/sources/mcp-official-docs/) - 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[Sequoia AI](https://siyuanailab.com/knowledge/sources/sequoia-ai/) - [TechCrunch AI](https://siyuanailab.com/knowledge/sources/techcrunch-ai/) - [The Verge AI](https://siyuanailab.com/knowledge/sources/the-verge-ai/) - [Y Combinator Blog](https://siyuanailab.com/knowledge/sources/y-combinator-blog/) - [AI 权威媒体与机构洞察](https://siyuanailab.com/knowledge/sources/ai-media-insights-directory/) 深度播客与视频（6） - [AI & I](https://siyuanailab.com/knowledge/sources/ai-and-i/) - [Andrej Karpathy（YouTube）](https://siyuanailab.com/knowledge/sources/andrej-karpathy-youtube/) - [Google DeepMind Podcast](https://siyuanailab.com/knowledge/sources/google-deepmind-podcast/) - [Latent Space](https://siyuanailab.com/knowledge/sources/latent-space/) - [Lenny's Podcast](https://siyuanailab.com/knowledge/sources/lennys-podcast/) - [AI 深度播客与视频](https://siyuanailab.com/knowledge/sources/ai-podcasts-videos-directory/) Newsletter 与策展者（7） - [AI Valley](https://siyuanailab.com/knowledge/sources/ai-valley/) - [AINews by smol.ai](https://siyuanailab.com/knowledge/sources/ainews-by-smol-ai/) - [Ben's Bites](https://siyuanailab.com/knowledge/sources/bens-bites/) - [Every](https://siyuanailab.com/knowledge/sources/every/) - [Peter Yang (Behind the Craft)](https://siyuanailab.com/knowledge/sources/peter-yang/) - [Zara's AI learning library](https://siyuanailab.com/knowledge/sources/zaras-ai-learning-library/) - [AI Newsletter 与策展者](https://siyuanailab.com/knowledge/sources/ai-newsletters-curators-directory/) 社交媒体账号（6） - [Andrej Karpathy（X）](https://siyuanailab.com/knowledge/sources/andrej-karpathy-x/) - [Greg Isenberg（X）](https://siyuanailab.com/knowledge/sources/greg-isenberg-x/) - [Justine Moore（X）](https://siyuanailab.com/knowledge/sources/justine-moore-x/) - [Lenny Rachitsky（X）](https://siyuanailab.com/knowledge/sources/lenny-rachitsky-x/) - [Swyx（X）](https://siyuanailab.com/knowledge/sources/swyx/) - [AI 社交媒体账号](https://siyuanailab.com/knowledge/sources/ai-social-accounts-directory/) 信源与标准 · 入门 # Every 杨思远 / 思行致远 · 2026/7/7 · 置信度：高 NewsletterAI评论知识工作者付费媒体AI学习 以 AI 为主题的订阅媒体，集合多个专栏作者，提供深度评论和实操指南。 # Every > 以 AI 为主题的订阅媒体，集合多个专栏作者，提供深度评论和实操指南。 --- ## 一、是什么 Every 是一家 AI 领域的订阅媒体公司，由 Dan Shipper 等人创立。它通过多个专栏（如 AI & I、Chain of Thought、Vibe Check、Source Code、Context Window）覆盖 AI 产品、技术、商业和文化，内容介于新闻、评论与教程之间。 ## 二、为什么存在 相比单作者 Newsletter，Every 采用多专栏模式，让读者按兴趣选择深度内容。它不仅解释”为什么重要”，也提供”怎么用”的具体路径，适合希望系统理解 AI 的知识工作者。 ## 三、核心机制 | 入口/作品 | URL | 说明 | | --- | --- | --- | | 首页/订阅 | [https://every.to/](https://every.to/) | 主站点与订阅入口 | | AI & I | [https://every.to/s/ai-and-i](https://every.to/s/ai-and-i) | Dan Shipper 的 AI 专栏与播客 | | Vibe Check | [https://every.to/vibe-check/sonnet-5](https://every.to/vibe-check/sonnet-5) | 模型评测与产品体验 | | Context Window | [https://every.to/context-window/codex-in-practice](https://every.to/context-window/codex-in-practice) | OpenAI Codex 实践分析 | | Source Code | [https://every.to/source-code/claude-code-is-the-openclaw-alternative-you-already-have](https://every.to/source-code/claude-code-is-the-openclaw-alternative-you-already-have) | Claude Code 与 OpenClaw 对比 | | Chain of Thought | [https://every.to/chain-of-thought/the-moral-of-fable](https://every.to/chain-of-thought/the-moral-of-fable) | 对 Fable 模型的评论 | ## 四、常见误解 | 误解 | 真相 | | --- | --- | | Every 只是博客合集 | 它是付费订阅媒体，有编辑策略和专栏分工 | | 免费文章足够系统学习 | 深度指南和专栏完整内容常需付费 | | 只适合工程师 | 内容覆盖产品、商业、创作，适合各类知识工作者 | | 多专栏会分散注意力 | 可按兴趣选择 1-2 个专栏跟踪 | ## 五、怎么用 - **选专栏**：根据角色选 AI & I（产品/创作者）或 Source Code（工程）。 - **跟模型发布**：Vibe Check 适合快速了解新模型体验。 - **付费前试读**：先看免费文章判断风格是否匹配自己的学习节奏。 - **引用时注意**：观点性文章需与官方信息区分，避免把评论当事实。 ## 六、延伸阅读 - 目录卡：[AI-Newsletter与策展者](https://siyuanailab.com/knowledge/sources/ai-newsletters-curators-directory/) - 关联概念：`[[Claude-Code-原生能力与最新版本]]` / `[[OpenAI-Codex]]` ### 适用场景与行动 **场景：**需要判断「Every」是否适合作为 AI 学习、研究或行业观察信源时。 **适合谁：**非技术背景的 AI 学习者、产品经理、内容创作者和企业 AI 服务从业者。 **下一步：**把 Every 加入或排除出自己的 AI 信源清单，并在关键判断前交叉验证。 ### 相关卡片 - ai-newsletters-curators-directory 这张卡片由杨思远基于真实工作流和实测经验整理。 如发现信息过时或有误，可通过 [/contact](https://siyuanailab.com/contact) 反馈。 [← 上一张：Ben's Bites](https://siyuanailab.com/knowledge/sources/bens-bites/) [下一张：Google DeepMind Podcast →](https://siyuanailab.com/knowledge/sources/google-deepmind-podcast/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)