--- title: "AI Newsletter 与策展者 - 信源与标准 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/sources/ai-newsletters-curators-directory/" 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/) - 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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 · 进阶 # AI Newsletter 与策展者 杨思远 / 思行致远 · 2026/7/7 · 置信度：高 信源Newsletter策展者AI学习独立站 用人工策展对抗信息过载，把信号从噪音里挑出来。 # AI Newsletter 与策展者 > 用人工策展对抗信息过载，把信号从噪音里挑出来。 --- ## 一、是什么 AI Newsletter 与策展者是一类以邮件、博客或资源库形式存在的 AI 信息筛选服务。它们通常不生产原始新闻，而是靠策展人的判断，把工具、论文、产品更新、工作流和观点按主题、频率与受众分层整理，再推送给读者。 ## 二、为什么存在 AI 领域信息爆炸，三类问题最突出： - **官方信息分散**：模型、API、产品更新分布在不同站点。 - **低质量内容泛滥**：营销文、AI 生成的假新闻、过时教程大量存在。 - **个人时间有限**：没有人能实时跟踪所有信源。 策展者通过人工筛选和主题聚焦，帮读者把”看什么”的决策成本降下来。 ## 三、核心机制 | 来源 | 形态 | 更新频率 | 目标受众 | 一句话定位 | 代表作品/入口 | 细节卡 | | --- | --- | --- | --- | --- | --- | --- | | Ben’s Bites | Newsletter/邮件 | 日更 | AI builder、非技术创业者 | Exited founder 写的 AI 创业与工具简报 | [https://bensbites.com/](https://bensbites.com/) | [Bens-Bites](https://siyuanailab.com/knowledge/sources/bens-bites/) | | Every | 订阅媒体/专栏合集 | 多专栏周更 | AI 实践者、产品经理、开发者 | 多作者 AI 深度评论与实操指南 | [https://every.to/](https://every.to/) | [Every](https://siyuanailab.com/knowledge/sources/every/) | | Zara’s AI learning library | 个人资源库 | 不定期 | 非技术背景学习者 | 手动挑选的免费 AI 学习资源索引 | [https://zara.faces.site/ai](https://zara.faces.site/ai) | [Zaras-AI-learning-library](https://siyuanailab.com/knowledge/sources/zaras-ai-learning-library/) | | AI Valley | 工具目录/Newsletter | 不定期 | AI 工具探索者 | 发现最新 AI 工具与提示词 | [https://aivalley.ai/](https://aivalley.ai/) | [AI-Valley](https://siyuanailab.com/knowledge/sources/ai-valley/) | | AINews by smol.ai | Newsletter | 未明确 | AI 工程师 | Beehiiv 托管的 AI 技术新闻邮件 | [https://ainews.beehiiv.com/](https://ainews.beehiiv.com/) | [AINews-by-smol-ai](https://siyuanailab.com/knowledge/sources/ainews-by-smol-ai/) | | Peter Yang | Newsletter/Substack | 不定期 | PM、忙碌知识工作者 | 实用 AI 教程与访谈 | [https://creatoreconomy.so/](https://creatoreconomy.so/) | [Peter-Yang](https://siyuanailab.com/knowledge/sources/peter-yang/) | ### 3.1 与信源分级的关系 按 [AI学习信源-如何分级与使用](https://siyuanailab.com/knowledge/sources/ai-source-principle/) 的框架，这些策展型来源通常属于**第 3 级（可信第三方）**。它们适合作为观点、案例和灵感来源，关键事实仍需回查第 1 级官方文档或第 1.5 级研究论文。 ## 四、常见误解 | 误解 | 真相 | | --- | --- | | Newsletter 只是新闻搬运 | 优质 Newsletter 有策展人判断、观点和分析 | | 订阅越多越好 | 跟踪 3-5 个匹配自己角色的 Newsletter 比订阅 20 个更有效 | | 免费版就够了 | 付费版常含深度分析、社区、模板库；按需选择 | | 策展者不会出错 | 策展者也有偏好和盲区，关键判断仍需交叉验证 | | 所有 Newsletter 都能公开归档 | 部分 Beehiiv/Substack 出版物会隐藏历史 issue，仅对订阅者开放 | ## 五、怎么用 ### Level 0：按角色订阅 - **产品经理 / 知识工作者**：Peter Yang、Every - **工具探索者 / 创作者**：AI Valley、Ben’s Bites - **工程师 / 研究者**：AINews by smol.ai、Every 的技术专栏 ### Level 1：建立阅读仪式 固定时间浏览，不随时刷邮件。建议每日 5 分钟扫标题，每周 30 分钟精读 1-2 篇。 ### Level 2：做剪藏与卡片化 把有用的工具、工作流、观点剪藏进素材池或知识库，满足 `[卡片化候选]` 条件时转为知识卡片。 ### Level 3：交叉验证 把 Newsletter 当作灵感源。涉及功能、价格、模型能力等关键判断时，回查官方文档或 Release Notes。 ## 六、延伸阅读 - 原则卡：[AI学习信源-如何分级与使用](https://siyuanailab.com/knowledge/sources/ai-source-principle/) - 目录卡：[AI官方文档与产品更新](https://siyuanailab.com/knowledge/sources/ai-official-docs-directory/) - 关联概念：`[[策展者经济]]` / `[[信息节食]]` ### 适用场景与行动 **场景：**需要建立 AI Newsletter 与策展者 的信源目录和选择顺序时。 **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：**按卡片中的分级与链接挑选 2-3 个来源，放入自己的固定阅读清单。 ### 相关卡片 - ai-source-principle - bens-bites - every - zaras-ai-learning-library - ai-valley - ainews-by-smol-ai - peter-yang 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：AI 权威媒体与机构洞察](https://siyuanailab.com/knowledge/sources/ai-media-insights-directory/) [下一张：AI 官方文档与产品更新 →](https://siyuanailab.com/knowledge/sources/ai-official-docs-directory/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)