--- title: "信源与标准 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/sources/" dateModified: "2026-09-14T19:22:40+08:00" --- 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 # 信源与标准 可信信息源、评估标准与筛选方法。 共 39 张卡片 [如何下载这份 AI·外脑 **查看获取与安装说明**](https://siyuanailab.com/knowledge/install/) [信源分级与框架1](https://siyuanailab.com/knowledge/sources/#group-1)[官方文档与产品更新6](https://siyuanailab.com/knowledge/sources/#group-2)[研究论文与预印本6](https://siyuanailab.com/knowledge/sources/#group-3)[权威媒体与机构洞察7](https://siyuanailab.com/knowledge/sources/#group-4)[深度播客与视频6](https://siyuanailab.com/knowledge/sources/#group-5)[Newsletter 与策展者7](https://siyuanailab.com/knowledge/sources/#group-6)[社交媒体账号6](https://siyuanailab.com/knowledge/sources/#group-7) ## 信源分级与框架 1 张 信源分级与框架词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [AI 学习信源：如何分级与使用](https://siyuanailab.com/knowledge/sources/ai-source-principle/) | | 面对海量 AI 信息，先按可信度分级，再决定投入多少注意力去验证。 | 信源信息验证AI学习 | ## 官方文档与产品更新 6 张 官方文档与产品更新词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [Google AI 官方动态](https://siyuanailab.com/knowledge/sources/google-ai-official-updates/) | | Google AI 与 DeepMind 的官方博客入口，覆盖 Gemini、研究进展和产品更新。 | GoogleGeminiDeepMind | | [MCP 官方文档](https://siyuanailab.com/knowledge/sources/mcp-official-docs/) | | 模型上下文协议（Model Context Protocol）的官方规范与开发者指南，是 Agent 与外部工具交互的开放标准。 | MCP模型上下文协议官方文档 | | [Midjourney 官方文档](https://siyuanailab.com/knowledge/sources/midjourney-official-docs/) | | Midjourney 的官方使用指南，覆盖参数、指令、风格控制和订阅说明。 | Midjourney图像生成官方文档 | | [OpenAI 官方文档](https://siyuanailab.com/knowledge/sources/openai-official-docs/) | | OpenAI 产品的官方文档，覆盖 GPT、Embeddings、Fine-tuning、Assistants API 和实时 API。 | OpenAIGPT官方文档 | | [Anthropic 官方文档](https://siyuanailab.com/knowledge/sources/anthropic-official-docs/) | | Anthropic 公司维护的 Claude 系列产品官方文档，是 Claude 能力、API 行为和安全指南的一手来源。 | AnthropicClaude官方文档 | | [AI 官方文档与产品更新](https://siyuanailab.com/knowledge/sources/ai-official-docs-directory/) | | AI 产品的说明书和更新日志，是查参数、追功能、排故障的第一手来源。 | 信源官方文档产品更新 | ## 研究论文与预印本 6 张 研究论文与预印本词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [Anthropic Research](https://siyuanailab.com/knowledge/sources/anthropic-research/) | | Anthropic 的公开研究入口，重点关注可解释性、对齐、Agent 能力和 AI 社会影响。 | Anthropic研究可解释性 | | [arXiv](https://siyuanailab.com/knowledge/sources/arxiv/) | | AI/ML 领域最大的开放预印本平台，是追踪原始研究、训练方法和模型评估的第一入口。 | arXiv预印本论文 | | [Google Research Blog](https://siyuanailab.com/knowledge/sources/google-research-blog/) | | Google 研究的官方博客，发布 Gemini、DeepMind、系统架构和应用研究的最新进展。 | Google研究博客Gemini | | [Lilian Weng](https://siyuanailab.com/knowledge/sources/lilian-weng/) | | OpenAI 研究员 Lilian Weng 的个人博客，以高质量长文把 RLHF、Agent、安全等复杂主题讲清楚。 | Lilian-Weng博客强化学习 | | [OpenAI Research](https://siyuanailab.com/knowledge/sources/openai-research/) | | OpenAI 的公开研究论文库，覆盖 GPT 系列、DALL-E、对齐方法和规模化研究。 | OpenAI研究生成模型 | | [AI 研究论文与预印本](https://siyuanailab.com/knowledge/sources/ai-research-papers-directory/) | | 论文和预印本是 AI 领域第 1.5 级信源：比官方文档更深入原理，但阅读成本更高，需要判断可信度与相关性。 | 信源研究论文预印本 | ## 权威媒体与机构洞察 7 张 权威媒体与机构洞察词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [a16z AI](https://siyuanailab.com/knowledge/sources/a16z-ai/) | | 硅谷顶级风投 a16z 的 AI 研究入口，擅长从投资视角判断基础设施、应用层与政策方向。 | a16zVCAI趋势 | | [MIT Technology Review AI](https://siyuanailab.com/knowledge/sources/mit-technology-review-ai/) | | MIT 旗下的技术研究型媒体，AI 报道兼顾科学突破、伦理影响与产业转化。 | MITTechnologyReview技术研究AI伦理 | | [Sequoia AI](https://siyuanailab.com/knowledge/sources/sequoia-ai/) | | 红杉资本的 AI 洞察，擅长从平台转移、创业机会和产业应用角度判断 AI 趋势。 | Sequoia红杉资本AI投资 | | [TechCrunch AI](https://siyuanailab.com/knowledge/sources/techcrunch-ai/) | | 老牌科技新闻媒体的 AI 板块，适合跟踪产品发布、融资动态和行业争议事件。 | TechCrunch科技新闻AI动态 | | [The Verge AI](https://siyuanailab.com/knowledge/sources/the-verge-ai/) | | 大众科技媒体 The Verge 的 AI 板块，擅长把 AI 产品动态、文化影响和社会争议讲给普通读者。 | TheVerge科技媒体AI产品 | | [Y Combinator Blog](https://siyuanailab.com/knowledge/sources/y-combinator-blog/) | | 全球最大创业孵化器 YC 的官方博客，最懂早期 AI 创业落地节奏的信源之一。 | YCombinator创业AI工具栈 | | [AI 权威媒体与机构洞察](https://siyuanailab.com/knowledge/sources/ai-media-insights-directory/) | | 创投机构、科技媒体与研究机构对 AI 趋势的判断，适合理解方向、商业影响与产业节奏。 | 信源权威媒体机构洞察 | ## 深度播客与视频 6 张 深度播客与视频词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [AI & I](https://siyuanailab.com/knowledge/sources/ai-and-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。 | AI应用播客Every | | [Andrej Karpathy（YouTube）](https://siyuanailab.com/knowledge/sources/andrej-karpathy-youtube/) | | 前 OpenAI 创始成员、Tesla AI 总监，用长视频把神经网络和 LLM 从第一性原理讲透。 | AI教育YouTube深度学习 | | [Google DeepMind Podcast](https://siyuanailab.com/knowledge/sources/google-deepmind-podcast/) | | 由 Hannah Fry 教授主持，听 DeepMind 研究员讲 AI 如何改变科学、健康与创造力。 | DeepMindGoogleAI研究 | | [Latent Space](https://siyuanailab.com/knowledge/sources/latent-space/) | | AI 工程师的播客 + Newsletter，连接前沿研究与工程落地。 | AI工程播客Newsletter | | [Lenny's Podcast](https://siyuanailab.com/knowledge/sources/lennys-podcast/) | | 产品、增长与职业发展的深度访谈播客，AI 产品话题密度越来越高。 | 产品管理增长播客 | | [AI 深度播客与视频](https://siyuanailab.com/knowledge/sources/ai-podcasts-videos-directory/) | | 长视频和深度播客适合建立直觉，但不适合作为事实基准；把它们当作第 3 级信源使用。 | 信源AI播客AI视频 | ## Newsletter 与策展者 7 张 Newsletter 与策展者词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [AI Valley](https://siyuanailab.com/knowledge/sources/ai-valley/) | | 一个聚焦 AI 工具和提示词的发现型站点，帮助用户快速找到适合场景的工具。 | AI工具提示词目录 | | [AINews by smol.ai](https://siyuanailab.com/knowledge/sources/ainews-by-smol-ai/) | | 面向 AI 工程师的技术 Newsletter，由 smol.ai 团队策展。 | NewsletterAI工程师Beehiiv | | [Ben's Bites](https://siyuanailab.com/knowledge/sources/bens-bites/) | | 面向 AI builder 的每日简报，偏重创业、投资和新工具。 | NewsletterAI工具创业 | | [Every](https://siyuanailab.com/knowledge/sources/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。 | NewsletterAI评论知识工作者 | | [Peter Yang (Behind the Craft)](https://siyuanailab.com/knowledge/sources/peter-yang/) | | 面向忙碌人群的实用 AI 教程与访谈，产品经理视角。 | NewsletterAI教程产品经理 | | [Zara's AI learning library](https://siyuanailab.com/knowledge/sources/zaras-ai-learning-library/) | | Zara Zhang 维护的免费 AI 学习资源库，面向非技术背景学习者。 | 资源库策展非技术学习者 | | [AI Newsletter 与策展者](https://siyuanailab.com/knowledge/sources/ai-newsletters-curators-directory/) | | 用人工策展对抗信息过载，把信号从噪音里挑出来。 | 信源Newsletter策展者 | ## 社交媒体账号 6 张 社交媒体账号词条列表 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | | [Andrej Karpathy（X）](https://siyuanailab.com/knowledge/sources/andrej-karpathy-x/) | | 把复杂的 AI 原理讲得最清楚的一线工程师教育者。 | XAI教育大模型 | | [Greg Isenberg（X）](https://siyuanailab.com/knowledge/sources/greg-isenberg-x/) | | 把独立开发和社区产品做成公开案例库的创业者，适合找产品化灵感。 | X独立开发创业 | | [Justine Moore（X）](https://siyuanailab.com/knowledge/sources/justine-moore-x/) | | 消费者 AI 和 AI 视频领域最敏锐的观察者之一。 | X消费者AIAI视频 | | [Lenny Rachitsky（X）](https://siyuanailab.com/knowledge/sources/lenny-rachitsky-x/) | | 产品人与增长人最系统的经验萃取者，适合找可复用的框架。 | X产品管理增长 | | [Swyx（X）](https://siyuanailab.com/knowledge/sources/swyx/) | | AI 工程师社区的信号放大器，适合捕捉新工具和新范式。 | XAI工程师社区 | | [AI 社交媒体账号](https://siyuanailab.com/knowledge/sources/ai-social-accounts-directory/) | | 关注 builder 型账号而非 influencer，把 X 当作 AI 前沿观点、案例和灵感的补充信源。 | 信源社交媒体X |