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",{"type":31,"tag":63,"props":7277,"children":7279},{"className":7278},[],[7280],{"type":37,"value":7281},"meetily_0.4.0_aarch64.dmg",{"type":37,"value":1408},{"type":31,"tag":143,"props":7284,"children":7286},{"className":7285},[146,147,148,149,150,151,152],[7287,7288,7294,7295],{"type":37,"value":155},{"type":31,"tag":157,"props":7289,"children":7293},{"src":7290,"alt":7291,"className":7292},"\u002Fday_assets\u002Fmeetily\u002F0.png","Meetily v0.4.0 的 GitHub Releases 下載表格",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":7296,"children":7298},{"className":7297},[169,170,171,172,173,174],[7299],{"type":37,"value":7300},"到 GitHub Releases 下載對應系統版本",{"type":31,"tag":39,"props":7302,"children":7303},{},[7304,7306,7312],{"type":37,"value":7305},"macOS 的流程就是下載 ",{"type":31,"tag":63,"props":7307,"children":7309},{"className":7308},[],[7310],{"type":37,"value":7311},".dmg",{"type":37,"value":7313},"，打開之後拖到 Applications。Windows 則是下載 setup.exe 後直接安裝。Linux 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適合幾種人：",{"type":31,"tag":77,"props":7897,"children":7898},{},[7899,7904,7909,7914,7919],{"type":31,"tag":81,"props":7900,"children":7901},{},[7902],{"type":37,"value":7903},"常常安裝、測試、移除 Mac App。",{"type":31,"tag":81,"props":7905,"children":7906},{},[7907],{"type":37,"value":7908},"不想手動找 Library 裡的 App 殘留檔案。",{"type":31,"tag":81,"props":7910,"children":7911},{},[7912],{"type":37,"value":7913},"想要一個介面直覺的 Mac 清理工具。",{"type":31,"tag":81,"props":7915,"children":7916},{},[7917],{"type":37,"value":7918},"想在選單列快速看 CPU、溫度、風扇、記憶體和網路狀態。",{"type":31,"tag":81,"props":7920,"children":7921},{},[7922],{"type":37,"value":7923},"願意為完整功能買一次 license，而不是只找完全免費工具。",{"type":31,"tag":39,"props":7925,"children":7926},{},[7927],{"type":37,"value":7928},"但如果你很排斥付費清理工具，或你本來就很熟 macOS 檔案結構、知道哪些快取和 support files 可以刪，那 BuhoCleaner 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",{"type":31,"tag":63,"props":8118,"children":8120},{"className":8119},[],[8121],{"type":37,"value":8122},"installer.exe",{"type":37,"value":8124}," 之後下載下來，執行安裝器就可以開始。",{"type":31,"tag":143,"props":8126,"children":8128},{"className":8127},[146,147,148,149,150,151,152],[8129,8130,8136,8137],{"type":37,"value":155},{"type":31,"tag":157,"props":8131,"children":8135},{"src":8132,"alt":8133,"className":8134},"\u002Fday_assets\u002Ffancontrol\u002F0.png","Fan Control GitHub Releases 頁面中的 installer.exe 下載項目",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":8138,"children":8140},{"className":8139},[169,170,171,172,173,174],[8141],{"type":37,"value":8142},"到 Releases 的 Assets 找 installer.exe 下載",{"type":31,"tag":39,"props":8144,"children":8145},{},[8146],{"type":37,"value":8147},"如果你看到 .NET 版本差異，不用太緊張。簡單講，就是有些版本會依賴比較新的 .NET runtime，有些則是給舊環境使用。對大多數 Windows 10 \u002F Windows 11 使用者，我會優先選官方 release 頁上最推薦、最新的 installer；如果開不起來，再回頭看是否需要換 .NET 4.8 版本或補 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的強項就是把很多底層風扇控制拆成卡片和曲線，如果語言不熟，第一次看會有點像進到一個滿是旋鈕的控制台。",{"type":31,"tag":39,"props":8249,"children":8250},{},[8251],{"type":37,"value":8252},"我自己的習慣是：先不要急著改數值，先讓它掃描硬體，看它抓到哪些風扇控制、哪些 RPM 速度感測器、哪些溫度來源。不同主機板、GPU、風扇集線器和水冷控制器，能抓到的東西會不一樣。",{"type":31,"tag":873,"props":8254,"children":8255},{},[],{"type":31,"tag":32,"props":8257,"children":8259},{"id":8258},"自動校正風扇很重要",[8260],{"type":37,"value":8258},{"type":31,"tag":39,"props":8262,"children":8263},{},[8264],{"type":37,"value":8265},"Fan Control 不是只讓你手動拉百分比。官方文件裡有提到，風扇校正會找出這顆風扇的起轉點、停止點、最大最小速度，並建立 RPM 和百分比之間的關係。這對後面要用 RPM 模式或精準曲線很重要。",{"type":31,"tag":143,"props":8267,"children":8269},{"className":8268},[146,147,148,149,150,151,152],[8270,8271,8277,8278],{"type":37,"value":155},{"type":31,"tag":157,"props":8272,"children":8276},{"src":8273,"alt":8274,"className":8275},"\u002Fday_assets\u002Ffancontrol\u002F3.png","Fan Control 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第一次啟動時，會先進到語言選擇畫面。這一步很簡單，但我覺得值得截下來，因為它會影響後面操作時的理解成本。",{"type":31,"tag":143,"props":8833,"children":8835},{"className":8834},[146,147,148,149,150,151,152],[8836,8837,8843,8844],{"type":37,"value":155},{"type":31,"tag":157,"props":8838,"children":8842},{"src":8839,"alt":8840,"className":8841},"\u002Fday_assets\u002Fupscayl\u002Flan.png","Upscayl 第一次啟動時的語言選擇畫面",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":8845,"children":8847},{"className":8846},[169,170,171,172,173,174],[8848],{"type":37,"value":8849},"第一次打開先選語言，後面操作會輕鬆很多",{"type":31,"tag":39,"props":8851,"children":8852},{},[8853],{"type":37,"value":8854},"我自己的習慣是，這種有模型、輸出倍率、輸出資料夾、批次處理等選項的工具，先切成熟悉的語言會比較不容易誤按。尤其 Upscayl 雖然介面很簡單，但如果你第一次接觸 AI upscaler，看到 General Photo、Digital Art、High Fidelity 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倍後，檔案大小很容易變大，批次跑一整包素材之前最好先試幾張。",{"type":31,"tag":873,"props":8995,"children":8996},{},[],{"type":31,"tag":32,"props":8998,"children":9000},{"id":8999},"我會怎麼使用-upscayl",[9001],{"type":37,"value":9002},"我會怎麼使用 Upscayl",{"type":31,"tag":39,"props":9004,"children":9005},{},[9006],{"type":37,"value":9007},"我會把 Upscayl 放在「素材整理」流程裡，而不是把它當成最後一站。",{"type":31,"tag":39,"props":9009,"children":9010},{},[9011],{"type":37,"value":9012},"例如寫文章時，如果只有一張解析度偏低但內容重要的產品截圖，我會先用 Upscayl 放大，再看是否需要裁切、壓縮或轉成 WebP。做影片縮圖或社群圖時，如果手上只有小圖，也可以先放大再排版。",{"type":31,"tag":39,"props":9014,"children":9015},{},[9016],{"type":37,"value":9017},"但如果圖片本身是模糊照片，尤其是真人人臉，我不會期待它修到像相機重拍。Upscayl 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Handy，體驗流暢的離線語音輸入魅力！",{"title":8,"searchDepth":486,"depth":486,"links":21568},[21569,21570,21571,21572,21576,21577],{"id":34,"depth":486,"text":34},{"id":21322,"depth":486,"text":21325},{"id":21352,"depth":486,"text":21355},{"id":21445,"depth":486,"text":21445,"children":21573},[21574,21575],{"id":21455,"depth":3293,"text":21458},{"id":21491,"depth":3293,"text":21494},{"id":21523,"depth":486,"text":21526},{"id":7098,"depth":486,"text":7098},"content:articles:handy.md","articles\u002Fhandy.md","articles\u002Fhandy",{"_path":21582,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":21583,"description":21584,"date":21585,"category":12,"image":16938,"tags":21586,"series":10931,"readingTime":809,"difficulty":20,"local":7,"platforms":21588,"gpu":26,"body":21590,"_type":494,"_id":23588,"_source":496,"_file":23589,"_stem":23590,"_extension":499},"\u002Farticles\u002F5live","Gemini 3.5 Live Translate 實測：全新雙向即時語音翻譯與 Live API 開發指南","Google 推出全新的 Gemini 3.5 Live Translate 模型，支援超過 70 種語言的雙向低延遲即時語音翻譯。本文將帶你實測 Google AI Studio 的網頁體驗、了解其運作機制，並提供 Live API 開發範例與 WebSocket 連接設定。","2026-06-14",[2303,808,21587],"LLM",[12436,21589],"API",{"type":28,"children":21591,"toc":23571},[21592,21596,21601,21606,21611,21616,21620,21641,21644,21649,21654,21707,21710,21715,21720,21726,21744,21750,21768,21774,21792,21798,21816,21819,21825,21830,21835,21967,21970,21975,21988,22784,22789,22794,22817,22926,22929,22935,22940,22991,22996,23436,23439,23444,23449,23511,23514,23518,23567],{"type":31,"tag":32,"props":21593,"children":21594},{"id":34},[21595],{"type":37,"value":34},{"type":31,"tag":39,"props":21597,"children":21598},{},[21599],{"type":37,"value":21600},"Google 推出了最新的語音翻譯模型 Gemini 3.5 Live Translate。這款模型是專門為即時語音對語音翻譯所設計，支援高達 70 多種語言的雙向翻譯。",{"type":31,"tag":39,"props":21602,"children":21603},{},[21604],{"type":37,"value":21605},"與傳統的回合制語音翻譯系統（必須等待講者完全說完一整句話、偵測到停頓後才開始進行語音轉文字、翻譯、最後合成語音）不同，Gemini 3.5 Live Translate 採用了連續串流處理技術。它在講者說話的同時進行即時翻譯，僅保持數秒鐘的極低延遲，並能夠最大程度地保留講者的語氣、語速與音調，實現如同專業口譯員般的流暢對談。",{"type":31,"tag":39,"props":21607,"children":21608},{},[21609],{"type":37,"value":21610},"目前此模型已在 Google AI Studio、Google Meet 企業預覽版以及 Android\u002FiOS 的 Google Translate 應用程式中陸續上線。",{"type":31,"tag":39,"props":21612,"children":21613},{},[21614],{"type":37,"value":21615},"下面是 Gemini 3.5 Live Translate 的官方展示錄影：",{"type":31,"tag":72,"props":21617,"children":21619},{"src":21618},"\u002Fvideos\u002Fgemini3.5live\u002Fgemini-3.5-live-translate.mp4",[],{"type":31,"tag":21220,"props":21621,"children":21622},{},[21623],{"type":31,"tag":39,"props":21624,"children":21625},{},[21626,21631,21633,21640],{"type":31,"tag":50,"props":21627,"children":21628},{},[21629],{"type":37,"value":21630},"體驗網址",{"type":37,"value":21632},"：如果你想立即親自動手測試，可以直接前往 ",{"type":31,"tag":85,"props":21634,"children":21637},{"href":21635,"rel":21636},"https:\u002F\u002Faistudio.google.com\u002Fu\u002F1\u002Flive?model=gemini-3.5-live-translate-preview",[89],[21638],{"type":37,"value":21639},"Google AI Studio 體驗網址",{"type":37,"value":1408},{"type":31,"tag":873,"props":21642,"children":21643},{},[],{"type":31,"tag":32,"props":21645,"children":21647},{"id":21646},"核心功能與技術特色",[21648],{"type":37,"value":21646},{"type":31,"tag":39,"props":21650,"children":21651},{},[21652],{"type":37,"value":21653},"這款模型之所以能在多個應用場景中引發關注，主要得益於以下幾點技術突破：",{"type":31,"tag":428,"props":21655,"children":21656},{},[21657,21667,21677,21687,21697],{"type":31,"tag":81,"props":21658,"children":21659},{},[21660,21665],{"type":31,"tag":50,"props":21661,"children":21662},{},[21663],{"type":37,"value":21664},"雙向低延遲即時串流",{"type":37,"value":21666},"：模型能夠即時處理串流音訊，並在幾秒鐘內產生翻譯後的語音。它在「等待上下文以確保翻譯品質」與「立即翻譯以保持同步」之間取得了極佳的平衡，避免了尷尬的長時間停頓。",{"type":31,"tag":81,"props":21668,"children":21669},{},[21670,21675],{"type":31,"tag":50,"props":21671,"children":21672},{},[21673],{"type":37,"value":21674},"自動語言偵測",{"type":37,"value":21676},"：輸入多種語言時，不需要手動切換源語言。模型會自動識別高達 70 多種輸入語言，並將其翻譯為你指定的目標語言。",{"type":31,"tag":81,"props":21678,"children":21679},{},[21680,21685],{"type":31,"tag":50,"props":21681,"children":21682},{},[21683],{"type":37,"value":21684},"聲學特徵保存",{"type":37,"value":21686},"：翻譯出來的語音不只是冰冷的機器音，它會模擬並保留講者的語氣起伏、速度與情感基調，讓對話感覺更加自然與流暢。",{"type":31,"tag":81,"props":21688,"children":21689},{},[21690,21695],{"type":31,"tag":50,"props":21691,"children":21692},{},[21693],{"type":37,"value":21694},"抗噪能力與場景整合",{"type":37,"value":21696},"：在吵雜或難以預測的真實環境（例如街道、會議室）中依然能穩定運作。目前包括 Grab 等企業已在針對司機與乘客的即時通訊進行實測。",{"type":31,"tag":81,"props":21698,"children":21699},{},[21700,21705],{"type":31,"tag":50,"props":21701,"children":21702},{},[21703],{"type":37,"value":21704},"SynthID 數位浮水印技術",{"type":37,"value":21706},"：模型產生的所有音訊皆會自動織入不可聽覺的 SynthID 浮水印，以防範生成式 AI 語音濫用或傳播不實訊息。",{"type":31,"tag":873,"props":21708,"children":21709},{},[],{"type":31,"tag":32,"props":21711,"children":21713},{"id":21712},"網頁端體驗與使用步驟",[21714],{"type":37,"value":21712},{"type":31,"tag":39,"props":21716,"children":21717},{},[21718],{"type":37,"value":21719},"若想在 Google AI Studio 中體驗此功能，請參考以下步驟進行操作：",{"type":31,"tag":2961,"props":21721,"children":21723},{"id":21722},"步驟一前往-ai-studio-後按右側模型選擇",[21724],{"type":37,"value":21725},"步驟一：前往 AI Studio 後按右側模型選擇",{"type":31,"tag":143,"props":21727,"children":21729},{"className":21728},[146,147,148,149,150,151,152],[21730,21731,21737,21738],{"type":37,"value":155},{"type":31,"tag":157,"props":21732,"children":21736},{"src":21733,"alt":21734,"className":21735},"\u002Fimages\u002F3.5live\u002F1前往ai studio後按右側模型選擇.jpg","前往 AI Studio 後按右側模型選擇",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":21739,"children":21741},{"className":21740},[169,170,171,172,173,174],[21742],{"type":37,"value":21743},"進入 Google AI Studio 頁面，點擊右側的模式與模型選擇區",{"type":31,"tag":2961,"props":21745,"children":21747},{"id":21746},"步驟二選擇-audio-就可以找到-35-live-translate",[21748],{"type":37,"value":21749},"步驟二：選擇 Audio 就可以找到 3.5 live translate",{"type":31,"tag":143,"props":21751,"children":21753},{"className":21752},[146,147,148,149,150,151,152],[21754,21755,21761,21762],{"type":37,"value":155},{"type":31,"tag":157,"props":21756,"children":21760},{"src":21757,"alt":21758,"className":21759},"\u002Fimages\u002F3.5live\u002F2選擇audio 就可以找到3.5 live translate.jpg","選擇 Audio 就可以找到 3.5 Live Translate",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":21763,"children":21765},{"className":21764},[169,170,171,172,173,174],[21766],{"type":37,"value":21767},"切換至 Audio 頁籤，即可從下拉選單中找到 gemini-3.5-live-translate-preview 模型",{"type":31,"tag":2961,"props":21769,"children":21771},{"id":21770},"步驟三設定目標語言-target-language",[21772],{"type":37,"value":21773},"步驟三：設定目標語言 (Target Language)",{"type":31,"tag":143,"props":21775,"children":21777},{"className":21776},[146,147,148,149,150,151,152],[21778,21779,21785,21786],{"type":37,"value":155},{"type":31,"tag":157,"props":21780,"children":21784},{"src":21781,"alt":21782,"className":21783},"\u002Fimages\u002F3.5live\u002F4選target language.jpg","選擇 target language",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":21787,"children":21789},{"className":21788},[169,170,171,172,173,174],[21790],{"type":37,"value":21791},"在設定區點擊選擇你的 Target Language（例如繁體中文、英文、日文等）即可開始運作",{"type":31,"tag":2961,"props":21793,"children":21795},{"id":21794},"步驟四點-talk-可直接使用麥克風進行即時翻譯或選擇分頁共用音訊",[21796],{"type":37,"value":21797},"步驟四：點 Talk 可直接使用麥克風進行即時翻譯或選擇分頁共用音訊",{"type":31,"tag":143,"props":21799,"children":21801},{"className":21800},[146,147,148,149,150,151,152],[21802,21803,21809,21810],{"type":37,"value":155},{"type":31,"tag":157,"props":21804,"children":21808},{"src":21805,"alt":21806,"className":21807},"\u002Fimages\u002F3.5live\u002F3點Talk可直接使用麥克風進行即時翻譯share Audio from tab可以選擇要翻譯的頁面如yt.jpg","點 Talk 開始即時翻譯或分享分頁音訊",[162,163],[],{"type":37,"value":155},{"type":31,"tag":39,"props":21811,"children":21813},{"className":21812},[169,170,171,172,173,174],[21814],{"type":37,"value":21815},"點擊「Talk」按鈕即可直接使用麥克風說話進行即時口譯。若想翻譯其他網頁（例如 YouTube 影片），可選擇「Share Audio from tab」來導入分頁音訊",{"type":31,"tag":873,"props":21817,"children":21818},{},[],{"type":31,"tag":32,"props":21820,"children":21822},{"id":21821},"開發者指南使用-gemini-live-api-進行即時翻譯",[21823],{"type":37,"value":21824},"開發者指南：使用 Gemini Live API 進行即時翻譯",{"type":31,"tag":39,"props":21826,"children":21827},{},[21828],{"type":37,"value":21829},"除了網頁端體驗外，Google 也開放了 Live API 供開發者整合。",{"type":31,"tag":39,"props":21831,"children":21832},{},[21833],{"type":37,"value":21834},"在使用 Gemini Live API 時，必須理解「線上服務專員 (Conversational Agent)」與「即時翻譯 (Live Translation)」這兩個功能在心理模型與技術運作上的核心差異：",{"type":31,"tag":1640,"props":21836,"children":21837},{},[21838,21859],{"type":31,"tag":1644,"props":21839,"children":21840},{},[21841],{"type":31,"tag":1648,"props":21842,"children":21843},{},[21844,21849,21854],{"type":31,"tag":1652,"props":21845,"children":21846},{"align":1654},[21847],{"type":37,"value":21848},"功能特性",{"type":31,"tag":1652,"props":21850,"children":21851},{"align":1654},[21852],{"type":37,"value":21853},"線上服務專員 (Conversational Agent)",{"type":31,"tag":1652,"props":21855,"children":21856},{"align":1654},[21857],{"type":37,"value":21858},"即時翻譯 (Live 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Function Calling、Google 搜尋與系統指令。",{"type":31,"tag":1676,"props":21921,"children":21922},{"align":1654},[21923],{"type":37,"value":21924},"僅支援翻譯。為保證低延遲，不支援其他工具或外部指令。",{"type":31,"tag":1648,"props":21926,"children":21927},{},[21928,21936,21941],{"type":31,"tag":1676,"props":21929,"children":21930},{"align":1654},[21931],{"type":31,"tag":50,"props":21932,"children":21933},{},[21934],{"type":37,"value":21935},"多模態能力",{"type":31,"tag":1676,"props":21937,"children":21938},{"align":1654},[21939],{"type":37,"value":21940},"完整支援文字、音訊、影片與圖片輸入。",{"type":31,"tag":1676,"props":21942,"children":21943},{"align":1654},[21944],{"type":37,"value":21945},"僅限音訊輸入，以確保最嚴格的即時延遲時間門檻。",{"type":31,"tag":1648,"props":21947,"children":21948},{},[21949,21957,21962],{"type":31,"tag":1676,"props":21950,"children":21951},{"align":1654},[21952],{"type":31,"tag":50,"props":21953,"children":21954},{},[21955],{"type":37,"value":21956},"設定複雜度",{"type":31,"tag":1676,"props":21958,"children":21959},{"align":1654},[21960],{"type":37,"value":21961},"需設定生成參數、語音種類、工具描述與系統指令。",{"type":31,"tag":1676,"props":21963,"children":21964},{"align":1654},[21965],{"type":37,"value":21966},"簡化設定。僅需指定目標語言代碼與處理相同語言時的行為。",{"type":31,"tag":873,"props":21968,"children":21969},{},[],{"type":31,"tag":32,"props":21971,"children":21973},{"id":21972},"連線與實作範例",[21974],{"type":37,"value":21972},{"type":31,"tag":39,"props":21976,"children":21977},{},[21978,21980,21986],{"type":37,"value":21979},"以下是使用 Python 初始化用戶端並透過 ",{"type":31,"tag":63,"props":21981,"children":21983},{"className":21982},[],[21984],{"type":37,"value":21985},"LiveConnectConfig",{"type":37,"value":21987}," 連接 Live API 進行即時翻譯的程式碼範例：",{"type":31,"tag":210,"props":21989,"children":21993},{"className":21990,"code":21991,"language":21992,"meta":8,"style":8},"language-python shiki shiki-themes one-dark-pro","import asyncio\nfrom google import genai\nfrom google.genai import types\n\nclient = genai.Client()\n\nmodel = \"gemini-3.5-live-translate-preview\"\nconfig = types.LiveConnectConfig(\n    response_modalities=[\"AUDIO\"],\n    input_audio_transcription=types.AudioTranscriptionConfig(),\n    output_audio_transcription=types.AudioTranscriptionConfig(),\n    translation_config=types.TranslationConfig(\n        target_language_code=\"pl\", # 設定目標翻譯語言，例如 \"pl\" 代表波蘭文\n        echo_target_language=True  # 若輸入已是目標語言，是否要重述\u002F回應\n    )\n)\n\nasync def main():\n    async with client.aio.live.connect(model=model, config=config) as session:\n        print(\"Session started with translation\")\n        # 開始接收翻譯後的語音串流與文字轉錄\n        async for response in session.receive():\n            if response.server_content:\n                if response.server_content.input_transcription:\n                    print(f\"Input transcript: {response.server_content.input_transcription.text}\")\n                if response.server_content.output_transcription:\n                    print(f\"Output transcript: {response.server_content.output_transcription.text}\")\n                if response.server_content.model_turn:\n                    for part in response.server_content.model_turn.parts:\n                        if part.inline_data:\n                            audio_data = part.inline_data.data\n                            # 播放或處理接收到的音訊區塊（PCM 格式）\n                            print(f\"Received audio chunk ({len(audio_data)} bytes)\")\n\nif __name__ == \"__main__\":\n    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新聞摘要：模型評估安全、Gemini 進 Copilot 與 ChatGPT 商業化","7 月 22 日 AI 新聞摘要：OpenAI 與 Hugging Face 說明模型評估安全事件，Gemini 3.6 Flash 進入 GitHub Copilot，OpenAI 推出 ChatGPT small business program 並出現 ChatGPT ads 頁面，Google、Qwen、Poolside 持續更新模型，Claude Code 團隊談 agent 安全與系統提示。","2026-07-22","News","\u002Fimages\u002Flogo.png","Codex 經由 Horizon 自動抓取新聞並自動編寫",{"type":28,"children":51857,"toc":52471},[51858,51862,51867,51872,51878,51890,51895,51907,51913,51918,51923,51934,51940,51945,51950,51961,51967,51979,51984,51995,52009,52028,52033,52044,52050,52055,52060,52071,52077,52082,52087,52098,52104,52125,52130,52141,52147,52159,52164,52175,52181,52193,52198,52209,52215,52227,52232,52243,52249,52267,52272,52300,52305,52310,52322,52334,52346,52351],{"type":31,"tag":32,"props":51859,"children":51860},{"id":34},[51861],{"type":37,"value":34},{"type":31,"tag":39,"props":51863,"children":51864},{},[51865],{"type":37,"value":51866},"今天這篇由 Horizon 抓取最近 48 小時的 AI、LLM、agent、開發工具與開源社群資料，再由 Codex 依照 SHUO Blog 新聞格式整理。Horizon 本次抓到的來源包含 GitHub release、Hacker News、OpenAI News、GitHub Changelog、Hugging Face Blog、Simon Willison、Latent Space 與 Reddit MachineLearning。Horizon 只負責資料抓取，本文的篩選、整理與改寫由 Codex 完成。",{"type":31,"tag":39,"props":51868,"children":51869},{},[51870],{"type":37,"value":51871},"今天的重點是模型評估安全、AI coding 平台、商業化與模型競爭：OpenAI \u002F Hugging Face incident、Gemini 3.6 Flash 進 Copilot、OpenAI small business program、ChatGPT ads、Google \u002F Qwen \u002F Poolside 新模型，以及 Claude Code 團隊對 agent safety 與 prompt 設計的實務觀察。",{"type":31,"tag":32,"props":51873,"children":51875},{"id":51874},"_1-openai-與-hugging-face-說明模型評估期間的安全事件",[51876],{"type":37,"value":51877},"1. OpenAI 與 Hugging Face 說明模型評估期間的安全事件",{"type":31,"tag":39,"props":51879,"children":51880},{},[51881,51883,51888],{"type":37,"value":51882},"OpenAI 發布 ",{"type":31,"tag":50,"props":51884,"children":51885},{},[51886],{"type":37,"value":51887},"OpenAI and Hugging Face address security incident during model evaluation",{"type":37,"value":51889},"，說明一次模型評估相關安全事件。HN 討論也把焦點放在模型能力評估、測試環境隔離、monitoring 與 defense in depth 是否足夠。",{"type":31,"tag":39,"props":51891,"children":51892},{},[51893],{"type":37,"value":51894},"這是今天最重要的 AI governance 新聞。越強的模型越需要被測試，但測試環境本身也變成攻擊面。模型評估不能只追求「測到能力上限」，還需要沙盒、權限最小化、審計紀錄、資料隔離和緊急停機流程。對 frontier lab 來說，評估系統的安全性會和模型安全性一樣重要。",{"type":31,"tag":39,"props":51896,"children":51897},{},[51898,51900],{"type":37,"value":51899},"資料來源：",{"type":31,"tag":85,"props":51901,"children":51904},{"href":51902,"rel":51903},"https:\u002F\u002Fopenai.com\u002Findex\u002Fhugging-face-model-evaluation-security-incident\u002F",[89],[51905],{"type":37,"value":51906},"OpenAI: Hugging Face model evaluation security incident",{"type":31,"tag":32,"props":51908,"children":51910},{"id":51909},"_2-gemini-36-flash-進入-github-copilot",[51911],{"type":37,"value":51912},"2. Gemini 3.6 Flash 進入 GitHub Copilot",{"type":31,"tag":39,"props":51914,"children":51915},{},[51916],{"type":37,"value":51917},"GitHub Changelog 顯示 Gemini 3.6 Flash 正在 GitHub Copilot 中 rollout。GitHub 描述它適合 web \u002F app development、coding 和 longer-horizon agentic tasks，並支援 configurable reasoning 相關能力。",{"type":31,"tag":39,"props":51919,"children":51920},{},[51921],{"type":37,"value":51922},"這代表 Copilot 繼續走多模型平台路線。對開發者來說，單一品牌模型不再是核心；真正有用的是在同一個 coding workflow 裡切換不同成本、速度、上下文和 reasoning profile 的模型。GitHub 也能用 Copilot 作為模型分發層，把 Google、OpenAI、Anthropic 等能力放進同一個開發介面。",{"type":31,"tag":39,"props":51924,"children":51925},{},[51926,51927],{"type":37,"value":51899},{"type":31,"tag":85,"props":51928,"children":51931},{"href":51929,"rel":51930},"https:\u002F\u002Fgithub.blog\u002Fchangelog\u002F2026-07-21-gemini-3-6-flash-is-now-available-in-github-copilot",[89],[51932],{"type":37,"value":51933},"GitHub Changelog: Gemini 3.6 Flash is now available in GitHub Copilot",{"type":31,"tag":32,"props":51935,"children":51937},{"id":51936},"_3-google-發布-gemini-36-flash35-flash-lite-與-35-flash-cyber",[51938],{"type":37,"value":51939},"3. Google 發布 Gemini 3.6 Flash、3.5 Flash-Lite 與 3.5 Flash Cyber",{"type":31,"tag":39,"props":51941,"children":51942},{},[51943],{"type":37,"value":51944},"HN 討論 Google 的 Gemini 3.6 Flash、3.5 Flash-Lite 和 3.5 Flash Cyber。討論重點集中在 Google 是否更偏向把快速、便宜、可大量部署的模型整合進搜尋與產品線，而不是只追求一個最重的 frontier model。",{"type":31,"tag":39,"props":51946,"children":51947},{},[51948],{"type":37,"value":51949},"這條路線很合理。對 Google 這種產品面極廣的平台，低延遲、低成本、可控輸出的 Flash 模型可能比單一最強模型更重要。值得追蹤的是 Gemini Flash 系列在 coding、agent、cyber 和 Copilot 中的真實表現，而不是只看榜單排名。",{"type":31,"tag":39,"props":51951,"children":51952},{},[51953,51954],{"type":37,"value":51899},{"type":31,"tag":85,"props":51955,"children":51958},{"href":51956,"rel":51957},"https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Fmodels-and-research\u002Fgemini-models\u002Fgemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber\u002F",[89],[51959],{"type":37,"value":51960},"Google Blog: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber",{"type":31,"tag":32,"props":51962,"children":51964},{"id":51963},"_4-openai-推出-chatgpt-for-small-business-program",[51965],{"type":37,"value":51966},"4. OpenAI 推出 ChatGPT for small business program",{"type":31,"tag":39,"props":51968,"children":51969},{},[51970,51972,51977],{"type":37,"value":51971},"OpenAI News 顯示 OpenAI 推出 ",{"type":31,"tag":50,"props":51973,"children":51974},{},[51975],{"type":37,"value":51976},"ChatGPT for Small Businesses program",{"type":37,"value":51978},"，目標是幫助創業者建立 AI 技能、用 ChatGPT Work 自動化工作並帶動成長。",{"type":31,"tag":39,"props":51980,"children":51981},{},[51982],{"type":37,"value":51983},"這是 ChatGPT 從個人工具走向 SMB workflow 的訊號。小企業通常沒有完整 IT \u002F automation team，因此需要的是可直接落地的範本、教育、權限設計與簡單的工作流自動化。OpenAI 若能把 ChatGPT Work 包成「小企業營運工具」，市場會比純聊天介面更大。",{"type":31,"tag":39,"props":51985,"children":51986},{},[51987,51988],{"type":37,"value":51899},{"type":31,"tag":85,"props":51989,"children":51992},{"href":51990,"rel":51991},"https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-chatgpt-small-business-program",[89],[51993],{"type":37,"value":51994},"OpenAI: Introducing the ChatGPT for small business program",{"type":31,"tag":32,"props":51996,"children":51998},{"id":51997},"_5-adsopenaicom-出現chatgpt-廣告化討論升溫",[51999,52001,52007],{"type":37,"value":52000},"5. ",{"type":31,"tag":63,"props":52002,"children":52004},{"className":52003},[],[52005],{"type":37,"value":52006},"ads.openai.com",{"type":37,"value":52008}," 出現：ChatGPT 廣告化討論升溫",{"type":31,"tag":39,"props":52010,"children":52011},{},[52012,52014,52019,52021,52026],{"type":37,"value":52013},"HN 出現 ",{"type":31,"tag":50,"props":52015,"children":52016},{},[52017],{"type":37,"value":52018},"Advertise in ChatGPT",{"type":37,"value":52020}," 頁面討論，來源是 ",{"type":31,"tag":63,"props":52022,"children":52024},{"className":52023},[],[52025],{"type":37,"value":52006},{"type":37,"value":52027},"。留言焦點主要是廣告是否會削弱使用者對 LLM 回答的信任，以及廣告是否能保持清楚標示、和回答內容分離。",{"type":31,"tag":39,"props":52029,"children":52030},{},[52031],{"type":37,"value":52032},"目前 Horizon raw item 沒有完整公告內容，因此這裡只能保守解讀為「OpenAI 已經有 ChatGPT 廣告相關頁面引發討論」。若未來 ChatGPT 正式大規模引入廣告，最關鍵的產品問題會是：廣告是否明確標示、是否影響回答排序、是否使用聊天內容做 targeting，以及企業版\u002F付費版是否保持無廣告。",{"type":31,"tag":39,"props":52034,"children":52035},{},[52036,52037],{"type":37,"value":51899},{"type":31,"tag":85,"props":52038,"children":52041},{"href":52039,"rel":52040},"https:\u002F\u002Fads.openai.com\u002F",[89],[52042],{"type":37,"value":52043},"HN: Advertise in ChatGPT",{"type":31,"tag":32,"props":52045,"children":52047},{"id":52046},"_6-openai-boards-新增-david-vélez-與-robin-vince",[52048],{"type":37,"value":52049},"6. OpenAI boards 新增 David Vélez 與 Robin Vince",{"type":31,"tag":39,"props":52051,"children":52052},{},[52053],{"type":37,"value":52054},"OpenAI News 顯示 David Vélez 與 Robin Vince 加入 OpenAI Foundation 和 OpenAI Group PBC boards。OpenAI 描述兩人帶來 finance、technology 與 governance 方面的全球領導經驗。",{"type":31,"tag":39,"props":52056,"children":52057},{},[52058],{"type":37,"value":52059},"這是治理結構新聞，但和 AI 產品方向有關。OpenAI 現在同時面對商業化、公益使命、監管、安全、資本市場與全球產品部署。董事會成員的背景會影響公司在金融治理、風險管理和全球擴張上的節奏。",{"type":31,"tag":39,"props":52061,"children":52062},{},[52063,52064],{"type":37,"value":51899},{"type":31,"tag":85,"props":52065,"children":52068},{"href":52066,"rel":52067},"https:\u002F\u002Fopenai.com\u002Findex\u002Fdavid-velez-robin-vince-join-openai-boards",[89],[52069],{"type":37,"value":52070},"OpenAI: David Vélez and Robin Vince join OpenAI boards",{"type":31,"tag":32,"props":52072,"children":52074},{"id":52073},"_7-claude-code-團隊訪談系統提示變小agent-security-變重",[52075],{"type":37,"value":52076},"7. Claude Code 團隊訪談：系統提示變小、agent security 變重",{"type":31,"tag":39,"props":52078,"children":52079},{},[52080],{"type":37,"value":52081},"Simon Willison 發布和 Claude Code 團隊 Cat Wu、Thariq Shihipar 的 fireside chat 摘要。重點包含 Claude Tag 已經為 Claude Code team landed 65% product engineering PRs、critical changes 仍人工 review、automated code review 用在外層，以及 Claude Code system prompt 最近縮小 80%。",{"type":31,"tag":39,"props":52083,"children":52084},{},[52085],{"type":37,"value":52086},"這些細節很有價值。最新模型不一定需要超長 system prompt 或大量「不要做 X」規則；相反，過度約束可能降低品質。另一方面，Anthropic 內部仍對 critical changes 保留人工審核，這說明真正的 agent adoption 不是全自動，而是把人類審核放在風險最高的地方。",{"type":31,"tag":39,"props":52088,"children":52089},{},[52090,52091],{"type":37,"value":51899},{"type":31,"tag":85,"props":52092,"children":52095},{"href":52093,"rel":52094},"https:\u002F\u002Fsimonwillison.net\u002F2026\u002FJul\u002F21\u002Fcat-and-thariq\u002F#atom-everything",[89],[52096],{"type":37,"value":52097},"Simon Willison: Fireside Chat with Claude Code team",{"type":31,"tag":32,"props":52099,"children":52101},{"id":52100},"_8-anthropic-python-sdk-01171-修正-aws-credentials-copy-問題",[52102],{"type":37,"value":52103},"8. Anthropic Python SDK 0.117.1 修正 AWS credentials copy 問題",{"type":31,"tag":39,"props":52105,"children":52106},{},[52107,52109,52115,52117,52123],{"type":37,"value":52108},"GitHub release 顯示 ",{"type":31,"tag":63,"props":52110,"children":52112},{"className":52111},[],[52113],{"type":37,"value":52114},"anthropic-sdk-python",{"type":37,"value":52116}," v0.117.1 發布，主要 bug fix 是修正使用 ",{"type":31,"tag":63,"props":52118,"children":52120},{"className":52119},[],[52121],{"type":37,"value":52122},"AnthropicAWS.copy()",{"type":37,"value":52124}," 時 credentials handling；另外也加入新的 refusal category 支援與文件、依賴更新。",{"type":31,"tag":39,"props":52126,"children":52127},{},[52128],{"type":37,"value":52129},"這是小版本，但對企業整合重要。Bedrock \u002F AWS 環境下的 credential handling 若有邊界問題，會直接影響 agent backend、批次工作和部署可靠性。SDK 層級的小修正通常不顯眼，但會決定 production AI workflow 是否穩定。",{"type":31,"tag":39,"props":52131,"children":52132},{},[52133,52134],{"type":37,"value":51899},{"type":31,"tag":85,"props":52135,"children":52138},{"href":52136,"rel":52137},"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fanthropic-sdk-python\u002Freleases\u002Ftag\u002Fv0.117.1",[89],[52139],{"type":37,"value":52140},"Anthropic Python SDK v0.117.1",{"type":31,"tag":32,"props":52142,"children":52144},{"id":52143},"_9-kimi-k3-與-fable-的競爭繼續升溫",[52145],{"type":37,"value":52146},"9. Kimi K3 與 Fable 的競爭繼續升溫",{"type":31,"tag":39,"props":52148,"children":52149},{},[52150,52152,52157],{"type":37,"value":52151},"HN 討論 Fireworks AI 的 ",{"type":31,"tag":50,"props":52153,"children":52154},{},[52155],{"type":37,"value":52156},"Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTA",{"type":37,"value":52158},"。討論提到 Kimi K3 在多類任務中有競爭力，也有人關注成本、資料治理、隱私和 router model 如何在 Kimi \u002F Fable 之間選模型。",{"type":31,"tag":39,"props":52160,"children":52161},{},[52162],{"type":37,"value":52163},"這反映接下來的模型使用方式：不是只選一個「最強模型」，而是根據任務、成本、成功率和資料政策路由。Kimi K3 的重要性不只在榜單，而是在它讓 open \u002F cheaper frontier-adjacent model 進入實際 coding 和 planning 決策。",{"type":31,"tag":39,"props":52165,"children":52166},{},[52167,52168],{"type":37,"value":51899},{"type":31,"tag":85,"props":52169,"children":52172},{"href":52170,"rel":52171},"https:\u002F\u002Ffireworks.ai\u002Fblog\u002Fkimik3-fable",[89],[52173],{"type":37,"value":52174},"Fireworks AI: Kimi K3 is competitive with Fable",{"type":31,"tag":32,"props":52176,"children":52178},{"id":52177},"_10-poolside-laguna-s-21美國開源-可自託管-coding-model-的中段市場",[52179],{"type":37,"value":52180},"10. Poolside Laguna S 2.1：美國開源 \u002F 可自託管 coding model 的中段市場",{"type":31,"tag":39,"props":52182,"children":52183},{},[52184,52186,52191],{"type":37,"value":52185},"HN 討論 Poolside 的 ",{"type":31,"tag":50,"props":52187,"children":52188},{},[52189],{"type":37,"value":52190},"Laguna S 2.1",{"type":37,"value":52192},"。留言把它和 DeepSeek V4 Flash 等模型比較，也提到它可能適合可自託管、中等成本、夠強的 coding use case。",{"type":31,"tag":39,"props":52194,"children":52195},{},[52196],{"type":37,"value":52197},"這個區間很重要。不是每個任務都需要最貴 frontier model，也不是每家公司都能接受外部 API。若 Laguna S 2.1 這類模型能在「可自託管、速度合理、coding 足夠強」上取得平衡，就會補上企業私有部署和 cost-sensitive coding agent 的空缺。",{"type":31,"tag":39,"props":52199,"children":52200},{},[52201,52202],{"type":37,"value":51899},{"type":31,"tag":85,"props":52203,"children":52206},{"href":52204,"rel":52205},"https:\u002F\u002Fpoolside.ai\u002Fblog\u002Fintroducing-laguna-s-2-1",[89],[52207],{"type":37,"value":52208},"Poolside: Laguna S 2.1",{"type":31,"tag":32,"props":52210,"children":52212},{"id":52211},"_11-qwen-image-30影像模型開始強調真實細節與知識",[52213],{"type":37,"value":52214},"11. Qwen-Image-3.0：影像模型開始強調真實細節與知識",{"type":31,"tag":39,"props":52216,"children":52217},{},[52218,52220,52225],{"type":37,"value":52219},"HN 討論 ",{"type":31,"tag":50,"props":52221,"children":52222},{},[52223],{"type":37,"value":52224},"Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge",{"type":37,"value":52226},"。留言一方面關注圖片中文字、多語言、購物試穿等應用，也質疑模型在廣告或電商場景可能過度美化商品效果。",{"type":31,"tag":39,"props":52228,"children":52229},{},[52230],{"type":37,"value":52231},"影像模型進入產品場景後，問題不只是生成漂亮圖片，而是可信度。若虛擬試穿、商品展示、空間設計都被模型自動修到「更好看」，使用者會很難判斷實物效果。這和近期 AI 生成房屋圖片揭露的討論是同一條治理線。",{"type":31,"tag":39,"props":52233,"children":52234},{},[52235,52236],{"type":37,"value":51899},{"type":31,"tag":85,"props":52237,"children":52240},{"href":52238,"rel":52239},"https:\u002F\u002Fqwen.ai\u002Fblog?id=qwen-image-3.0",[89],[52241],{"type":37,"value":52242},"Qwen: Qwen-Image-3.0",{"type":31,"tag":32,"props":52244,"children":52246},{"id":52245},"_12-physical-ainvidia-simulationgrabette-與-xaira-的資料生成路線",[52247],{"type":37,"value":52248},"12. 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