--- title: "AI & I - 信源与标准 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/sources/ai-and-i/" 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/) - [Midjourney 官方文档](https://siyuanailab.com/knowledge/sources/midjourney-official-docs/) - [OpenAI 官方文档](https://siyuanailab.com/knowledge/sources/openai-official-docs/) - [Anthropic 官方文档](https://siyuanailab.com/knowledge/sources/anthropic-official-docs/) - [AI 官方文档与产品更新](https://siyuanailab.com/knowledge/sources/ai-official-docs-directory/) 研究论文与预印本（6） - [Anthropic Research](https://siyuanailab.com/knowledge/sources/anthropic-research/) - [arXiv](https://siyuanailab.com/knowledge/sources/arxiv/) - [Google Research Blog](https://siyuanailab.com/knowledge/sources/google-research-blog/) - [Lilian Weng](https://siyuanailab.com/knowledge/sources/lilian-weng/) - [OpenAI Research](https://siyuanailab.com/knowledge/sources/openai-research/) - [AI 研究论文与预印本](https://siyuanailab.com/knowledge/sources/ai-research-papers-directory/) 权威媒体与机构洞察（7） - [a16z AI](https://siyuanailab.com/knowledge/sources/a16z-ai/) - [MIT Technology Review AI](https://siyuanailab.com/knowledge/sources/mit-technology-review-ai/) - [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 # AI & I 杨思远 / 思行致远 · 2026/7/7 · 置信度：高 AI应用播客Every知识工作信源 Every 旗下的 AI 播客，展示顶尖从业者如何把 AI 嵌入日常知识工作。 # AI & I > Every 旗下的 AI 播客，展示顶尖从业者如何把 AI 嵌入日常知识工作。 --- ## 一、是什么 AI & I 是 Every（原名为 Chain of Thought 等栏目的付费媒体）旗下的播客，由 Dan Shipper 主持。节目聚焦”世界上最聪明的人如何使用 AI”，每期邀请创业者、研究者或高管，展示他们实际使用 AI 的工作流、工具栈和判断逻辑。 ## 二、为什么存在 - **应用导向**：不追模型参数，而是看模型如何被转化为个人或组织的生产力。 - **工作流密度高**：嘉宾常现场演示 prompt、工具组合和自动化流程。 - **知识工作场景**：特别适合研究者、写作者、产品经理和独立创业者。 ## 三、核心机制 | 内容主题 | 典型内容 | 价值 | | --- | --- | --- | | AI 工具栈 | 嘉宾展示自己每天用的 AI 工具 | 直接迁移到自己的 workflow | | 组织应用 | ”我们如何用 AI 运行 25 人公司” | 看团队级 AI 落地经验 | | 产品判断 | Codex、Claude Code、AI Agent 等讨论 | 理解工具能力边界 | | 个人生产力 | 写作、研究、编程、决策辅助 | 找到可立即尝试的方法 | ## 四、常见误解 | 误解 | 真相 | | --- | --- | | 只听播客就能获得同样能力 | 嘉宾的上下文和工具栈不同，必须自己实验 | | 内容只适合技术人员 | 很多期是作家、产品经理、设计师分享非编程用法 | | 每期都是产品推广 | 虽有商业背景，但 Dan Shipper 以追问和实测著称 | | AI & I 只讲消费级工具 | 也涉及企业级应用、Agent 工作流和团队治理 | ## 五、怎么用 ### Level 0：收藏入口 - 播客主页：[https://www.every.to/ai-and-i](https://www.every.to/ai-and-i) - Every 主站：[https://www.every.to/](https://www.every.to/) ### Level 1：从工作流相关单集开始 优先听与自己角色最相关的单集：写作、编程、研究、管理。 ### Level 2：复现一个工具组合 选一期提到的工具组合，在 1 周内做最小可行实验。 ### Level 3：沉淀为 SOP 把验证有效的方法写成自己的 prompt 库或工作流文档。 ## 六、延伸阅读 - 目录卡：[AI深度播客与视频](https://siyuanailab.com/knowledge/sources/ai-podcasts-videos-directory/) - 原则卡：[AI学习信源-如何分级与使用](https://siyuanailab.com/knowledge/sources/ai-source-principle/) - 关联概念：`[[AI工作流]]` / `[[Claude Code]]` / `[[Agent]]` ### 代表作品/入口 | 作品 | 类型 | URL | | --- | --- | --- | | AI & I 主页 | 播客入口 | [https://www.every.to/ai-and-i](https://www.every.to/ai-and-i) | | How OpenAI’s Codex Team Uses Their Coding Agent | 单集 | [https://every.to/podcast/how-openai-s-codex-team-uses-their-coding-agent](https://every.to/podcast/how-openai-s-codex-team-uses-their-coding-agent) | | Inside Stainless, The Developer Tools Startup Anthropic Just Bought for $300 Million | 单集 | [https://every.to/podcast/inside-stainless-the-developer-tools-startup-anthropic-just-bought-for-300-million](https://every.to/podcast/inside-stainless-the-developer-tools-startup-anthropic-just-bought-for-300-million) | | Figma Exec on Why the SaaSpocalypse Is a Goldmine | 单集 | [https://every.to/podcast/figma-exec-on-why-the-saaspocalypse-is-a-goldmine](https://every.to/podcast/figma-exec-on-why-the-saaspocalypse-is-a-goldmine) | | How We Run a 25-person Company on Four AI Agents | 文章 | [https://every.to/source-code/how-we-run-a-25-person-company-on-four-ai-agents](https://every.to/source-code/how-we-run-a-25-person-company-on-four-ai-agents) | | Claude Code for Product Managers | 文章 | [https://every.to/source-code/claude-code-for-product-managers](https://every.to/source-code/claude-code-for-product-managers) | ### 适用场景与行动 **场景：**需要判断「AI & I」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 AI & I 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-podcasts-videos-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：Y Combinator Blog](https://siyuanailab.com/knowledge/sources/y-combinator-blog/) [下一张：AI Valley →](https://siyuanailab.com/knowledge/sources/ai-valley/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)