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    <title>【硅谷坐标 × 华源HYSTA 特别节目】：AI 的下一程：对话11 位硅谷顶级AI从业者</title>
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    <description>&lt;p&gt;專訪 11 位矽谷 AI 頂尖從業者，探討開源與閉源模型趨勢、AI 安全、個人助理市場及資本開支可持續性等關鍵議題。觀眾可從專家視角了解 AI 產業前沿動態與未來挑戰。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=0VsLXnkxGPU&quot;&gt;https://www.youtube.com/watch?v=0VsLXnkxGPU&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Andy Pavlo: What Happens When Billions of AI Agents Hit Your Database</title>
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    <dc:creator>The MAD Podcast with Matt Turck</dc:creator>
    <description>&lt;p&gt;Andy Pavlo 探討 AI Agent 如何改變資料庫生態，指出向量資料庫已普及，Agent 現在能建立、修改甚至刪除資料庫。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=74X0DJOVEc8&quot;&gt;https://www.youtube.com/watch?v=74X0DJOVEc8&lt;/a&gt;&lt;/p&gt;</description>
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    <title>1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael Andrew</title>
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    <pubDate>Fri, 02 Oct 2026 00:00:00 +0800</pubDate>
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    <description>&lt;p&gt;訪談 Salesforce 首席資料官 Michael Andrew，探討當 AI 代理成為客戶時，資料團隊的角色與挑戰。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5619895088.mp3&quot;&gt;https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5619895088.mp3&lt;/a&gt;&lt;/p&gt;</description>
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    <title>工具是門票，系統是底氣：Databricks 資深解決方案工程師 An-Lei 的工程實踐與 AI 思考</title>
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    <pubDate>Mon, 28 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>台灣資料科學社群 TWDS</dc:creator>
    <description>&lt;p&gt;專訪 Databricks 資深工程師 An-Lei，分享從建築領域轉職資料工程的實戰經驗。文章探討如何透過解決真實痛點建立工程能力，並分析在 AI Agent 時代，工程師應如何從工具使用者轉型為系統架構師與業務洞察者。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://medium.com/twdsmeetup/%E5%B7%A5%E5%85%B7%E6%98%AF%E9%96%80%E7%A5%A8-%E7%B3%BB%E7%B5%B1%E6%98%AF%E5%BA%95%E6%B0%A3-databricks-%E8%B3%87%E6%B7%B1%E8%A7%A3%E6%B1%BA%E6%96%B9%E6%A1%88%E5%B7%A5%E7%A8%8B%E5%B8%AB-an-lei-%E7%9A%84%E5%B7%A5%E7%A8%8B%E5%AF%A6%E8%B8%90%E8%88%87-ai-%E6%80%9D%E8%80%83-a405399410fa&quot;&gt;https://medium.com/twdsmeetup/%E5%B7%A5%E5%85%B7%E6%98%AF%E9%96%80%E7%A5%A8-%E7%B3%BB%E7%B5%B1%E6%98%AF%E5%BA%95%E6%B0%A3-databricks-%E8%B3%87%E6%B7%B1%E8%A7%A3%E6%B1%BA%E6%96%B9%E6%A1%88%E5%B7%A5%E7%A8%8B%E5%B8%AB-an-lei-%E7%9A%84%E5%B7%A5%E7%A8%8B%E5%AF%A6%E8%B8%90%E8%88%87-ai-%E6%80%9D%E8%80%83-a405399410fa&lt;/a&gt;&lt;/p&gt;</description>
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    <title>The Biggest AI Coding Agent Upgrade Is Already on Your Machine?!</title>
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    <pubDate>Fri, 25 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>Cole Medin</dc:creator>
    <description>&lt;p&gt;展示如何將與程式碼代理的對話記錄轉化為資料，以提升代理效能。觀眾可學習使用單一提示詞最佳化規則，或建立資料庫進行結構化查詢。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=td52e2tQFIU&quot;&gt;https://www.youtube.com/watch?v=td52e2tQFIU&lt;/a&gt;&lt;/p&gt;</description>
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    <title>How Deep Learning Finally Cracked Messy Tables - Frank Hutter</title>
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    <pubDate>Thu, 24 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>Machine Learning Street Talk</dc:creator>
    <description>&lt;p&gt;訪談 Frank Hutter 介紹 TabPFN，一款預訓練在合成資料上的表格基礎模型，能在單次前向傳播中完成預測。內容涵蓋其如何解決傳統深度學習處理表格資料的困難、與編碼代理的整合方式，以及 TabPFN 3.5 在多個…&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Deep-Learning-Finally-Cracked-Messy-Tables---Frank-Hutter-e3p9qvq&quot;&gt;https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Deep-Learning-Finally-Cracked-Messy-Tables---Frank-Hutter-e3p9qvq&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Amazon Ban Hammer, Seedance Strategy, Amazon Blocks Muse | Vinod Khosla, Augustus Doricko, Ben Hylak, Aaron Levie, Lucas Shaw</title>
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    <pubDate>Tue, 22 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>TBPN</dc:creator>
    <description>&lt;p&gt;探討 Seedance 2.5 等 AI 影片模型的突破、Amazon 阻擋 Muse 的商業策略，以及 Vinod Khosla 對個人代理市場的預測。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://share.transistor.fm/s/81a5a42e&quot;&gt;https://share.transistor.fm/s/81a5a42e&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI Agent 基礎</category>
    <category>AI 商業與創業</category>
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    <title>Databricks CEO on AI Pacing, Cyber Risk, and the Enterprise</title>
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    <pubDate>Sat, 19 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>The a16z Show</dc:creator>
    <description>&lt;p&gt;Databricks 創辦人兼執行長 Ali Ghodsi 與 a16z 主持人探討企業 AI 採用瓶頸，指出問題不在模型不夠聰明，而在於缺乏企業情境與組織知識。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://a16z.simplecast.com/episodes/databricks-ceo-on-ai-pacing-cyber-risk-and-the-enterprise-QM1oJt1I&quot;&gt;https://a16z.simplecast.com/episodes/databricks-ceo-on-ai-pacing-cyber-risk-and-the-enterprise-QM1oJt1I&lt;/a&gt;&lt;/p&gt;</description>
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    <title>AutoIndex with Sam O'Nuallain - Weaviate Podcast #143!</title>
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    <pubDate>Mon, 07 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>Weaviate Podcast</dc:creator>
    <description>&lt;p&gt;介紹 AutoIndex 論文，透過兩個代理（程式與分析）自動撰寫 Python 程式碼，最佳化資料結構以提升檢索指標。讀者可了解如何利用 LLM 編寫程式來自動處理資料分塊與索引，無需手動調整參數。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://podcasters.spotify.com/pod/show/weaviate/episodes/AutoIndex-with-Sam-ONuallain---Weaviate-Podcast-143-e3of9p9&quot;&gt;https://podcasters.spotify.com/pod/show/weaviate/episodes/AutoIndex-with-Sam-ONuallain---Weaviate-Podcast-143-e3of9p9&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Why Clickhouse and Agents are a Great Combo</title>
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    <pubDate>Wed, 02 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>exe.dev Blog</dc:creator>
    <description>&lt;p&gt;介紹如何建立 exe-finops，利用 ClickHouse 儲存事件並搭配 AI Agent 自動生成財務報告與排查問題。讀者可學習如何用無 ETL 架構整合 Stripe 事件，並讓 AI 直接查詢資料庫解決複雜查詢需求。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://blog.exe.dev/meet-exe-finops-the-custom-tool-i-built-for-our-billing-data&quot;&gt;https://blog.exe.dev/meet-exe-finops-the-custom-tool-i-built-for-our-billing-data&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Build a Shareable Site</title>
    <link>https://aiwulin.itsmygo.uk/c/ef82cb171a/</link>
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    <pubDate>Sat, 29 Aug 2026 00:00:00 +0800</pubDate>
    <dc:creator>OpenAI</dc:creator>
    <description>&lt;p&gt;示範如何用 ChatGPT Work 建立可分享的網站，涵蓋團體旅遊行程規劃與專案啟動儀表板。觀眾能學習無需寫程式即可透過對話生成具備資料庫、投票與權限管理的網站，並整合外部工具更新資料。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=0qK3KqvtRrg&quot;&gt;https://www.youtube.com/watch?v=0qK3KqvtRrg&lt;/a&gt;&lt;/p&gt;</description>
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    <title>SE Radio 734: Sathiesh Veera on Engineering Data-Protection Guardrails with LLMs</title>
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    <pubDate>Thu, 20 Aug 2026 00:00:00 +0800</pubDate>
    <dc:creator>Software Engineering Radio</dc:creator>
    <description>&lt;p&gt;訪談 AT&amp;amp;T 架構師 Sathiesh Veera，探討企業在使用大型語言模型時，因資料外流至雲端而面臨的資料保護問題。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://se-radio.net/2026/08/se-radio-734-sathiesh-veera-on-engineering-data-protection-guardrails-with-llms&quot;&gt;https://se-radio.net/2026/08/se-radio-734-sathiesh-veera-on-engineering-data-protection-guardrails-with-llms&lt;/a&gt;&lt;/p&gt;</description>
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    <category>大型語言模型入門</category>
    <category>Agent Harness</category>
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    <title>Omnigent: Composition, Control, and Collaboration for AI Agents</title>
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    <pubDate>Sun, 02 Aug 2026 00:00:00 +0800</pubDate>
    <dc:creator>AAIF Live</dc:creator>
    <description>&lt;p&gt;分享如何利用 OmniGent 等工具，透過讓多個 AI 模型互相辯論來提升程式碼品質與研究效率。講者分享實戰經驗，包括用不同模型測試、處理繁體中文語料以及建立 AI 代理的工作流程。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=MQqV-v5HqaU&quot;&gt;https://www.youtube.com/watch?v=MQqV-v5HqaU&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI Agent 基礎</category>
    <category>Coding Agent</category>
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    <title>Stanford MS&amp;E435 Economics of the AI Supercycle | Spring 2026 | Infrasctructure, Enterprise AI, SaaS</title>
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    <pubDate>Tue, 14 Jul 2026 00:00:00 +0800</pubDate>
    <dc:creator>Stanford Online</dc:creator>
    <description>&lt;p&gt;演講者 Ali Ghodsi 指出人工通用智慧（AGI）已存在，但企業導入 AI 失敗是因缺乏組織內部的知識脈絡。他強調軟體業面臨門檻降低的挑戰，並建議學生避免短視，應著眼於長期影響。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=sRvrXL83N-c&quot;&gt;https://www.youtube.com/watch?v=sRvrXL83N-c&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Why Netflix, Uber, and Spotify Never Lag: The Database Nobody Talks About | Aaron Katz</title>
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    <pubDate>Tue, 31 Mar 2026 00:00:00 +0800</pubDate>
    <dc:creator>Gradient Dissent</dc:creator>
    <description>&lt;p&gt;Aaron Katz 與 Lukas Biewald 訪談 ClickHouse 創辦人，分享從 Yandex 內建工具到成為百億美元公司的歷程。內容涵蓋如何建立雲端服務、面對競爭對手策略以及 AI 時代資料庫的未來。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://episodes.captivate.fm/episode/f776d7d6-e08f-42cf-b657-f9533b6d6e78.mp3&quot;&gt;https://episodes.captivate.fm/episode/f776d7d6-e08f-42cf-b657-f9533b6d6e78.mp3&lt;/a&gt;&lt;/p&gt;</description>
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    <title>加入 Dynamia 密瓜智能后的第一个月：为什么 AI Native Infra 值得投入</title>
    <link>https://aiwulin.itsmygo.uk/c/6ec301f6c4/</link>
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    <pubDate>Fri, 06 Feb 2026 00:00:00 +0800</pubDate>
    <dc:creator>Jimmy Song（宋净超）博客</dc:creator>
    <description>&lt;p&gt;分享加入 Dynamia 密瓜智慧一個月後的觀察，闡述 AI 原生基礎設施（AI Native Infra）的核心在於算力治理而非單純模型最佳化。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://jimmysong.io/zh/blog/why-i-join-dynamia-ai-native-infra&quot;&gt;https://jimmysong.io/zh/blog/why-i-join-dynamia-ai-native-infra&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI 晶片與硬體</category>
    <category>AI 輔助軟體工程</category>
    <category>推論與部署</category>
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    <title>Beyond the Chatbot: Practical Frameworks for Agentic Capabilities in SaaS</title>
    <link>https://aiwulin.itsmygo.uk/c/e477e86525/</link>
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    <pubDate>Mon, 29 Dec 2025 00:00:00 +0800</pubDate>
    <dc:creator>AI Engineering Podcast</dc:creator>
    <description>&lt;p&gt;訪談 SaaS 產品與工程主管 Preeti Shukla，探討如何在多租戶軟體中安全地加入 AI 代理能力。內容涵蓋如何平衡延遲、成本與隱私，選擇合適的模型與架構，以及透過驗證與可觀測性系統來防止「自信錯誤」。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.aiengineeringpodcast.com/adding-agentic-behavior-to-saas-episode-72&quot;&gt;https://www.aiengineeringpodcast.com/adding-agentic-behavior-to-saas-episode-72&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI Agent 基礎</category>
    <category>Agent Harness</category>
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    <title>AI Enterprise - Databricks &amp; Glean | BG2 Guest Interview</title>
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    <description>&lt;p&gt;訪談 Databricks 與 Glean 創辦人，探討企業 AI 落地的真實挑戰與成功案例。內容涵蓋為何 95% 專案失敗、私有資料與代理系統如何構建護城河，以及 AGI 現狀與未來價值分配。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://podcasters.spotify.com/pod/show/bg2pod/episodes/AI-Enterprise---Databricks--Glean--BG2-Guest-Interview-e3cokl2&quot;&gt;https://podcasters.spotify.com/pod/show/bg2pod/episodes/AI-Enterprise---Databricks--Glean--BG2-Guest-Interview-e3cokl2&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI 商業與創業</category>
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    <title>EP116｜生成式 AI 媒體的軍火商：fal.ai</title>
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