[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-github-repo-publishes-daily-ai-deep-dives-zh":3,"article-related-github-repo-publishes-daily-ai-deep-dives-zh":32,"series-industry-98680966-9eb7-44f6-9630-888575a31321":77},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"98680966-9eb7-44f6-9630-888575a31321","github-repo-publishes-daily-ai-deep-dives-zh","5 個細節看懂這個每日 AI 深讀倉庫","\u003Cp>一個 GitHub 倉庫，真的能每天寫出新的 AI 深讀嗎？\u003C\u002Fp>\u003Cp data-speakable=\"summary\">這篇在講一個會用即時網路研究，自動產出每日 AI 深讀文章的 GitHub 倉庫。\u003C\u002Fp>\u003Ch2>1. 自動生文，不靠人工編輯\u003C\u002Fh2>\u003Cp>這個專案的核心很直接：AI 代理先選題，再查資料，最後直接寫成文章。README 也明講，每篇都是 300+ 行的長文，最新一篇甚至已經排到 2026-07-07 的 Qualcomm。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783431170973-e5si.png\" alt=\"5 個細節看懂這個每日 AI 深讀倉庫\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>它不是把新聞摘要稍微整理一下，而是把研究、寫作、發布串成一條流水線。對想看「代理式出版」怎麼落地的人來說，這比概念圖更有參考價值。\u003C\u002Fp>\u003Cul>\u003Cli>每天輪換公司或工具主題\u003C\u002Fli>\u003Cli>輸出的是長篇 deep dive，不是短新聞\u003C\u002Fli>\u003Cli>文章以 Markdown 存在 \u003Ccode>articles\u002F\u003C\u002Fcode>\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 即時網路研究\u003C\u002Fh2>\u003Cp>README 寫得很清楚，代理會透過 DuckDuckGo 做即時搜尋，資料來源包含新聞、網頁和 GitHub。這代表文章不是\u003Ca href=\"\u002Fnews\u002Fdirect-opd-weak-to-strong-distillation-zh\">模型\u003C\u002Fa>憑空生成，而是當天抓到新資料後再組裝成文。\u003C\u002Fp>\u003Cp>對追 AI 公司動態的人來說，這種做法比舊文章彙整更有時效性。新品發表、融資消息、框架更新、產業變化，都能在同一天被納入。\u003C\u002Fp>\u003Cul>\u003Cli>DuckDuckGo 搜尋近期來源\u003C\u002Fli>\u003Cli>同時查新聞、網頁與 GitHub\u003C\u002Fli>\u003Cli>以單一公司為單位做深挖\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 公司覆蓋範圍很廣\u003C\u002Fh2>\u003Cp>目前檔案庫已經涵蓋 Google、\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa>、\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa>、\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa>、Fetch.ai、\u003Ca href=\"\u002Ftag\u002Flangchain\">LangChain\u003C\u002Fa>、CrewAI、Composio、Daytona、Qualcomm 等名字，也能看到 xAI、NVIDIA、DeepSeek、\u003Ca href=\"\u002Ftag\u002Fgithub-copilot\">GitHub Copilot\u003C\u002Fa> 這類高頻主題重複出現。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783431180569-6gzj.png\" alt=\"5 個細節看懂這個每日 AI 深讀倉庫\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這讓它不只是一次性的實驗，而像是一台持續運轉的 AI 編輯\u003Ca href=\"\u002Fnews\u002Fcamvla-calibration-free-view-robust-vla-zh\">機器\u003C\u002Fa>。它能跟上快速變動的產業節奏，同時還保留清楚的公司與日期\u003Ca href=\"\u002Fnews\u002Flabel-free-real-bogus-classification-uncertainty-zh\">分類\u003C\u002Fa>。\u003C\u002Fp>\u003Cul>\u003Cli>AI 實驗室與模型供應商\u003C\u002Fli>\u003Cli>開發工具與代理框架\u003C\u002Fli>\u003Cli>硬體、基礎設施、機器人公司\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 可翻查的日期檔案庫\u003C\u002Fh2>\u003Cp>每篇文章都以日期命名的 Markdown 檔保存下來，搜尋和引用都很方便。README 的表格也列出文章、公司與日期，想看某一天的內容，或比較同一家公司不同時間的覆蓋方式，都很直觀。\u003C\u002Fp>\u003Cp>這種結構的好處是，內容不會被覆寫，輸出品質也能一路追蹤。對研究者或編輯來說，它同時是一份資料庫和一個可觀察的產出紀錄。\u003C\u002Fp>\u003Ccode>articles\u002Fqualcomm-2026-07-07.md\u003Cbr>articles\u002Fgithub-copilot-2026-07-06.md\u003Cbr>articles\u002Fcognition-2026-07-01.md\u003Cbr>articles\u002Fdeepseek-2026-05-04.md\u003C\u002Fcode>\u003Ch2>5. 流程很清楚，也容易改造\u003C\u002Fh2>\u003Cp>「How It Works」的步驟很單純：選公司、搜尋網路、生成文章、發布。專案還提到會輪換主題，避免同一家公司太快重複，這讓內容流看起來更均衡。\u003C\u002Fp>\u003Cp>因為流程透明，所以很容易拿來改成別的用途。像是內部研究簡報、電子報、產業追蹤頁面，都可以直接借它的骨架。\u003C\u002Fp>\u003Cul>\u003Cli>自動挑選每日公司主題\u003C\u002Fli>\u003Cli>先研究再寫作\u003C\u002Fli>\u003Cli>輸出即用的 Markdown\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>哪種適合你\u003C\u002Fh2>\u003Cp>如果你想看的是「自動化內容生產」的真實案例，尤其是跟最新 AI 新聞綁在一起的案例，這個倉庫很值得看。它最適合工程師、編輯和研究者，用來研究每日 AI 觀察是怎麼被組成的。\u003C\u002Fp>\u003Cp>如果你要的是成熟產品、漂亮介面或完整商業化包裝，這裡不是重點。但如果你想看一條透明、可追蹤的研究到寫作流程，\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgautammanak1\u002Fai-tech-daily\">ai-tech-daily\u003C\u002Fa> 就是很好的參考。\u003C\u002Fp>","1 個 GitHub 倉庫每天自動產出 AI 深讀，靠即時網路研究、300+ 行長文與可追溯的日期檔案。","github.com","https:\u002F\u002Fgithub.com\u002Fgautammanak1\u002Fai-tech-daily",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783431170973-e5si.png","industry","zh","b9fd9d5e-034d-434a-9cf3-6e8b42d77c71",[17,18,19,20,21,22,23],"GitHub repo","AI deep dive","daily automation","real-time research","DuckDuckGo","Markdown archive","agentic publishing",[25,26,27],"這個倉庫每天自動產出一篇 AI 深讀，重點是研究與寫作全自動。","它用即時網搜和多來源資料，讓內容跟得上最新 AI 動態。","檔案以日期保存，方便查找、引用，也方便觀察長期輸出品質。",0,"2026-07-07T13:32:22.122243+00:00","2026-07-07T13:32:22.109+00:00","9d8ea374-f9e2-44bd-b242-099d1b1576c7",{"tags":33,"relatedLang":36,"relatedPosts":40},[34],{"name":17,"slug":35},"github-repo",{"id":15,"slug":37,"title":38,"language":39},"github-repo-publishes-daily-ai-deep-dives-en","This GitHub repo publishes one AI deep dive a day","en",[41,47,53,59,65,71],{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"97e71c99-2ea3-4028-87a2-d503e269d66b","anthropic-chip-move-breaks-gpu-dependence-zh","Anthropic 的自研晶片不是分心，是脫離 GPU 依賴的必要一步","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783513982447-3vf0.png","2026-07-08T12:32:35.013359+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"7221aff5-3dec-49ec-8cb7-a406786d31fa","anthropic-claude-california-government-workers-zh","Anthropic 替加州公務員砍半 Claude 價格","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783512171000-zr7e.png","2026-07-08T12:02:20.008928+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"58543e67-aec2-4b1f-a330-82e51d7bf5a9","rust-top-10-tiobe-language-choices-zh","Rust 進入 Tiobe 前十，語言選擇開始改寫","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783472578780-36w7.png","2026-07-08T01:02:21.560053+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"75eacc8b-c660-477c-ba87-c786cebaf485","anthropic-mythos-fable-revived-behind-scenes-zh","Anthropic 模型回滾，安全疑慮先發酵","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783470785118-y75g.png","2026-07-08T00:32:25.374427+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"5ddc8d84-674d-4a40-b6c6-83d7747b4034","aws-2026-openai-chips-layoffs-story-zh","AWS 2026：OpenAI、晶片與裁員定調","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783469001272-0p1i.png","2026-07-08T00:02:35.562803+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"6ceb2abd-804c-47e8-9ce3-f889a20e5ca7","openai-5-percent-gov-stake-ai-state-asset-zh","OpenAI 5% 讓渡把 AI 變國家資產","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783409642468-nkpp.png","2026-07-07T07:33:31.840639+00:00",[78,83,88,93,98,103,108,113,118,123],{"id":79,"slug":80,"title":81,"created_at":82},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":84,"slug":85,"title":86,"created_at":87},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":114,"slug":115,"title":116,"created_at":117},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":119,"slug":120,"title":121,"created_at":122},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 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