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  <title>AI 武林：AlphaFold</title>
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    <title>谷歌DeepMind掌舵人承认当前模型略逊于前沿​ | ​Koray Kavukcuoglu | Gemini 4 | 3.5 Pro | AI前沿 | AGI | 强化学习 | 深度学习 |</title>
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    <description>&lt;p&gt;DeepMind 掌舵人 Koray Kavukcuoglu 坦承當前模型略遜於業界前沿，強調軟體工程是 AI Agent 的根基。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=OkceW8_9q60&quot;&gt;https://www.youtube.com/watch?v=OkceW8_9q60&lt;/a&gt;&lt;/p&gt;</description>
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    <title>AI不确定性的数学原理​ | 贝叶斯法则 | 机器学习 | 深度学习 | 祖宾·加赫拉马尼 | 谷歌DeepMind | 大语言模型 | 概率推理 | 神经网络 | 通用人工智能 | 语义熵</title>
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    <description>&lt;p&gt;透過訪談谷歌 DeepMind 祖賓·加赫拉馬尼，探討讓 AI 學會表示與更新不確定性的數學原理。內容解釋了偶然與認知不確定性的區別，指出大型語言模型缺乏顯式不確定性表示易導致過度自信，並提出貝葉斯法則與語義熵作為解決方案，強調具備自我懷…&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=TUSdlrFVcEg&quot;&gt;https://www.youtube.com/watch?v=TUSdlrFVcEg&lt;/a&gt;&lt;/p&gt;</description>
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    <title>AI for Science 爆发：AI 能解锁伟大的科学发现吗？ | S10E29</title>
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    <description>&lt;p&gt;探討 AI for Science 如何加速科學發現，分析從自動化編碼代理到構建生命科學「世界模型」兩條技術路線。透過訪談專家宋樂，釐清 AI 在推演規則上的優勢與在創造性假設上的侷限，並展望虛擬細胞模擬的商業落地前景。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://guiguzaozhidao.fireside.fm/20240444&quot;&gt;https://guiguzaozhidao.fireside.fm/20240444&lt;/a&gt;&lt;/p&gt;</description>
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    <title>癌症為什麼連大藥廠都攻不下？台灣靠 AI能設計出下一個抗癌突破嗎？| 思想實驗室 Video Podcast ep116：ft.漢康生技醫療長 陸英明博士</title>
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    <pubDate>Sat, 05 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>Thought Lab with Guowei</dc:creator>
    <description>&lt;p&gt;漢康生技醫療長陸英明博士分享 CD47 抗癌路線的科學機制與臨床突破，探討 AI 如何協助過濾雙向親和力以確保治療安全。內容涵蓋巨噬細胞免疫機制、AlphaFold 應用及二線胃癌治療成果。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=xyQm2jwFG48&quot;&gt;https://www.youtube.com/watch?v=xyQm2jwFG48&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Designing How AI Grows — Tom McGrath</title>
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    <pubDate>Thu, 03 Sep 2026 00:00:00 +0800</pubDate>
    <dc:creator>Machine Learning Street Talk</dc:creator>
    <description>&lt;p&gt;Tom McGrath 探討神經網路如何像自然科學般學習概念，並提出將可解釋性納入訓練迴路以實現有意義的設計。他分析 AlphaZero 的知識收斂性、模型如何發現錯誤並產生誤對齊，以及稀疏自編碼器在理解高維結構上的侷限。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Designing-How-AI-Grows--Tom-McGrath-e3o8p04&quot;&gt;https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Designing-How-AI-Grows--Tom-McGrath-e3o8p04&lt;/a&gt;&lt;/p&gt;</description>
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    <title>How builders at YC Startup School are using Gemini &amp; Google AI</title>
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    <description>&lt;p&gt;Google DeepMind 的 Paige Bailey 訪談 YC Startup School 的創作者，了解他們如何使用 Gemini 與 Google AI 解決多語言收據解析、抗生素抗藥性研究等實際問題。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=hfAkpEM9N5M&quot;&gt;https://www.youtube.com/watch?v=hfAkpEM9N5M&lt;/a&gt;&lt;/p&gt;</description>
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    <title>DeepSeek V4 Flash斩杀线逼疯硅谷，Google高层先地震了？其他模型还能活多久？</title>
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    <pubDate>Fri, 07 Aug 2026 00:00:00 +0800</pubDate>
    <dc:creator>人民公园说AI</dc:creator>
    <description>&lt;p&gt;Podcast 訪談探討 DeepSeek V4 Flash 以極低價格衝擊市場，導致 Meta 等廠商面臨生存危機，並分析 Google DeepMind 因人事大地震與戰略調整而發生的變化。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.xiaoyuzhoufm.com/episode/6a7478dbc4079d62c57e62e6&quot;&gt;https://www.xiaoyuzhoufm.com/episode/6a7478dbc4079d62c57e62e6&lt;/a&gt;&lt;/p&gt;</description>
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    <title>He won a Nobel here for AlphaFold. Then he left. - John Jumper</title>
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    <pubDate>Tue, 23 Jun 2026 00:00:00 +0800</pubDate>
    <dc:creator>Machine Learning Street Talk</dc:creator>
    <description>&lt;p&gt;深入解析 AlphaFold 如何解決蛋白質摺疊問題，並由諾貝爾獎得主 John Jumper 親自說明其架構細節與技術限制。觀眾能了解 AlphaFold 2 的具體貢獻、未解決的動態預測挑戰，以及該技術如何加速全球藥物研發與科學研究。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/He-won-a-Nobel-here-for-AlphaFold--Then-he-left----John-Jumper-e3l579p&quot;&gt;https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/He-won-a-Nobel-here-for-AlphaFold--Then-he-left----John-Jumper-e3l579p&lt;/a&gt;&lt;/p&gt;</description>
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    <title>He Raised $70M to Cure Every Disease With AI | Samuel G. Rodriques, Edison Scientific</title>
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    <pubDate>Wed, 27 May 2026 00:00:00 +0800</pubDate>
    <dc:creator>Gradient Dissent</dc:creator>
    <description>&lt;p&gt;Samuel Rodriques 訪談 Edison Scientific 創辦人，探討如何用 AI 代理（Agents）解決藥物研發、腦部繪圖與衰老等難題。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://episodes.captivate.fm/episode/ab96cf3a-74b5-450a-9624-81c20e0a546f.mp3&quot;&gt;https://episodes.captivate.fm/episode/ab96cf3a-74b5-450a-9624-81c20e0a546f.mp3&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Relational Foundation Models for Enterprise Data with Jure Leskovec - #768</title>
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    <pubDate>Fri, 22 May 2026 00:00:00 +0800</pubDate>
    <dc:creator>The TWIML AI Podcast</dc:creator>
    <description>&lt;p&gt;訪談 Jure Leskovec 探討 AI for Science 與關係式深度學習。介紹 AI Virtual Cell 如何利用單細胞 RNA-seq 資料建立從蛋白質到患者的多尺度模型，並說明 Kumo 的 Relational…&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://twimlai.com/podcast/twimlai/relational-foundation-models-enterprise-data&quot;&gt;https://twimlai.com/podcast/twimlai/relational-foundation-models-enterprise-data&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI 與科學研究</category>
    <category>資料科學</category>
    <category>上下文工程</category>
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    <title>Using AI to outsmart drug-resistant bacteria</title>
    <link>https://aiwulin.itsmygo.uk/c/e82d36a468/</link>
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    <pubDate>Wed, 20 May 2026 00:00:00 +0800</pubDate>
    <dc:creator>Google DeepMind</dc:creator>
    <description>&lt;p&gt;Ben Luisi 團隊結合結構生物學與 AlphaFold、Gemini 等 AI 工具，將解析細菌防禦機制從數年縮短至數分鐘，加速開發新型抗生素以對抗抗藥性細菌。觀眾可了解 AI 如何加速生物學研究並發現人類難以察覺的治療新方向。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=Cnuj24PjWrQ&quot;&gt;https://www.youtube.com/watch?v=Cnuj24PjWrQ&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI 與科學研究</category>
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    <title>【十字路口】“你有一把能够挖出金子的铲子，肯定不会先给别人用”｜对谈开物纪陆子恒：用AI发明新材料【视频播客】</title>
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    <pubDate>Sat, 02 May 2026 00:00:00 +0800</pubDate>
    <dc:creator>Koji杨远骋</dc:creator>
    <description>&lt;p&gt;訪談開物紀創始人陸子恆，探討如何用 AI 發現並驗證新材料，從實驗室走向商業化。內容涵蓋材料科學原理、AI 在材料研發中的應用案例、未來里程碑預期以及創業心路歷程。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=tVgwTcUKRB0&quot;&gt;https://www.youtube.com/watch?v=tVgwTcUKRB0&lt;/a&gt;&lt;/p&gt;</description>
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    <category>AI 與科學研究</category>
    <category>AI 商業與創業</category>
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    <title>Demis Hassabis on Building DeepMind, AlphaFold, and the Final Stretch to AGI</title>
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    <pubDate>Fri, 01 May 2026 00:00:00 +0800</pubDate>
    <dc:creator>Training Data</dc:creator>
    <description>&lt;p&gt;Demis Hassabis 與 Sequoia 合夥人進行訪談，回顧 DeepMind 建立歷程與 AlphaFold 突破，探討 AGI 可能在 2030 年實現的觀點，並分析 AI 如何重塑藥物研發與模擬科學。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI1446613297.mp3&quot;&gt;https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI1446613297.mp3&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Demis Hassabis：AGI 还缺什么，智能体到底行不行，下一个科学突破长什么样</title>
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    <pubDate>Thu, 30 Apr 2026 00:00:00 +0800</pubDate>
    <dc:creator>寶玉</dc:creator>
    <description>&lt;p&gt;DeepMind CEO Demis Hassabis 探討 AGI 現狀，指出當前技術架構雖有 50% 機率足夠，但持續學習、長程推理與記憶仍是三大未解難題。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://baoyu.io/blog/demis-hassabis-agents-agi-and-the-next-big-scientific-breakthrough&quot;&gt;https://baoyu.io/blog/demis-hassabis-agents-agi-and-the-next-big-scientific-breakthrough&lt;/a&gt;&lt;/p&gt;</description>
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  <item>
    <title>EP118 对话祥宇：从 AlphaFold 到大语言模型：AI 会颠覆药物研发，还是被高估了？</title>
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    <pubDate>Tue, 16 Dec 2025 00:00:00 +0800</pubDate>
    <dc:creator>硬地骇客</dc:creator>
    <description>&lt;p&gt;訪談神經科學博士祥宇，探討 AI 如何改變藥物研發與科學研究。內容涵蓋 AlphaFold 對蛋白質結構分析的衝擊、大型語言模型在文獻檢索與假設驗證中的應用，以及未來科學家角色的轉變。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.xiaoyuzhoufm.com/episode/69405a112a383da1674ca11f&quot;&gt;https://www.xiaoyuzhoufm.com/episode/69405a112a383da1674ca11f&lt;/a&gt;&lt;/p&gt;</description>
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    <title>AlphaFold: The 50-year grand challenge cracked by AI</title>
    <link>https://aiwulin.itsmygo.uk/c/f03063dd62/</link>
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    <pubDate>Tue, 02 Dec 2025 00:00:00 +0800</pubDate>
    <dc:creator>Google DeepMind</dc:creator>
    <description>&lt;p&gt;AlphaFold 用 AI 解決了 50 年難題，破解蛋白質結構預測。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.youtube.com/watch?v=r4-hXO7MLVU&quot;&gt;https://www.youtube.com/watch?v=r4-hXO7MLVU&lt;/a&gt;&lt;/p&gt;</description>
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    <title>Ep 72: Co-Founder of Chai Discovery Joshua Meier on 99% Faster Drug Discovery, BioTech’s AlphaGo Moment, Building Photoshop for Molecules</title>
    <link>https://aiwulin.itsmygo.uk/c/eb9379f17a/</link>
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    <pubDate>Wed, 13 Aug 2025 00:00:00 +0800</pubDate>
    <dc:creator>Unsupervised Learning</dc:creator>
    <description>&lt;p&gt;訪談 Chai Discovery 共同創辦人 Joshua Meier，探討 AI 如何透過擴散模型與基礎模型徹底改變藥物發現流程。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://unsupervised-learning.simplecast.com/episodes/ep-72-co-founder-of-chai-discovery-joshua-meier-on-99-faster-drug-discovery-biotechs-alphago-moment-building-photoshop-for-molecules-l2bPtBY2&quot;&gt;https://unsupervised-learning.simplecast.com/episodes/ep-72-co-founder-of-chai-discovery-joshua-meier-on-99-faster-drug-discovery-biotechs-alphago-moment-building-photoshop-for-molecules-l2bPtBY2&lt;/a&gt;&lt;/p&gt;</description>
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    <title>#475 – Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games</title>
    <link>https://aiwulin.itsmygo.uk/c/1851e52697/</link>
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    <pubDate>Thu, 24 Jul 2025 00:00:00 +0800</pubDate>
    <dc:creator>Lex Fridman Podcast</dc:creator>
    <description>&lt;p&gt;Demis Hassabis 探討自然系統因演化而具備結構，可被經典演算法高效模擬，提出「可學習系統」新分類。他分享 DeepMind 如何透過建模解決蛋白質摺疊等難題，並展望 AI 解決能源與資源匱乏，開啟人類繁榮新紀元。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://lexfridman.com/demis-hassabis-2&quot;&gt;https://lexfridman.com/demis-hassabis-2&lt;/a&gt;&lt;/p&gt;</description>
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    <title>A billion years of evolution in a single afternoon — George Church</title>
    <link>https://aiwulin.itsmygo.uk/c/1db484955e/</link>
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    <pubDate>Thu, 26 Jun 2025 00:00:00 +0800</pubDate>
    <dc:creator>Dwarkesh Podcast</dc:creator>
    <description>&lt;p&gt;George Church 探討合成生物學如何結合 AI 與基因編輯，預測 2050 年將解決衰老問題，並討論復甦滅絕物種及開發新材料的潛力。內容涵蓋從基因治療到 AGI 對生物學影響的廣泛議題，提供對未來科技發展趨勢的深刻洞察。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://www.dwarkesh.com/p/george-church&quot;&gt;https://www.dwarkesh.com/p/george-church&lt;/a&gt;&lt;/p&gt;</description>
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    <description>&lt;p&gt;探討 Gemini 2.0 與代理 AI 的演進，由 Google DeepMind 的 Oriol Vinyals 分享從單一任務模型到通用模型的轉變。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://afp-920373-injected.calisto.simplecastaudio.com/36cf10bf-f6dd-4a98-96a9-8eda9f59db4f/episodes/bb2b39af-7a15-4757-963a-3a7683621f67/audio/128/default.mp3?aid=rss_feed&amp;amp;awCollectionId=36cf10bf-f6dd-4a98-96a9-8eda9f59db4f&amp;amp;awEpisodeId=bb2b39af-7a15-4757-963a-3a7683621f67&amp;amp;feed=JT6pbPkg&quot;&gt;https://afp-920373-injected.calisto.simplecastaudio.com/36cf10bf-f6dd-4a98-96a9-8eda9f59db4f/episodes/bb2b39af-7a15-4757-963a-3a7683621f67/audio/128/default.mp3?aid=rss_feed&amp;amp;awCollectionId=36cf10bf-f6dd-4a98-96a9-8eda9f59db4f&amp;amp;awEpisodeId=bb2b39af-7a15-4757-963a-3a7683621f67&amp;amp;feed=JT6pbPkg&lt;/a&gt;&lt;/p&gt;</description>
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    <description>&lt;p&gt;記錄 Google DeepMind 與皇家學會合辦的 AI for Science 論壇，由主持人 Hannah Fry 與 CEO Demis Hassabis 對談，並邀請三位諾貝爾獎得主參與。&lt;/p&gt;&lt;p&gt;原站：&lt;a href=&quot;https://afp-920373-injected.calisto.simplecastaudio.com/36cf10bf-f6dd-4a98-96a9-8eda9f59db4f/episodes/6ba78d2e-c70d-4887-a1aa-f9cfd10d285f/audio/128/default.mp3?aid=rss_feed&amp;amp;awCollectionId=36cf10bf-f6dd-4a98-96a9-8eda9f59db4f&amp;amp;awEpisodeId=6ba78d2e-c70d-4887-a1aa-f9cfd10d285f&amp;amp;feed=JT6pbPkg&quot;&gt;https://afp-920373-injected.calisto.simplecastaudio.com/36cf10bf-f6dd-4a98-96a9-8eda9f59db4f/episodes/6ba78d2e-c70d-4887-a1aa-f9cfd10d285f/audio/128/default.mp3?aid=rss_feed&amp;amp;awCollectionId=36cf10bf-f6dd-4a98-96a9-8eda9f59db4f&amp;amp;awEpisodeId=6ba78d2e-c70d-4887-a1aa-f9cfd10d285f&amp;amp;feed=JT6pbPkg&lt;/a&gt;&lt;/p&gt;</description>
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