{"text": "OpenAI Codex Harness開源了,模型只是發動機,Harness才是那套駕駛系統。8月20日,OpenAI聯合創始人兼總裁Greg Brockman又一次把話題帶回了Codex。他提到一個挺反直覺的案例,一套由Codex驅動的稅務系統,在試點中處理了大約7000份報稅表,把稅務準備時間縮短了1 3左右。但如果你只把這理解成OpenAI又升級了一次編程AI,可能就錯過重點了。這次真正值得聊的,甚至不是哪個新模型,而是模型背後那套執行系統Harness。很多人第一次聽到這個詞,會以為它就是個開發框架,其實不太準確。它更像是AI智能體的執行系統。今天一個能連續工作幾十分鐘甚至幾個小時的Agent,Code從來不只是好模型加好Prompt。他得知道什麼時候該讀文件,什麼時候該搜索信息,什麼時候該調用工具,任務失敗了怎麼恢復,上下輪越堆越長了怎麼壓縮,哪些操作可以自動跑,哪些必須停下來等人審批。他還要維護任務狀態,保存現成,處理權限,記錄過程,把工具執行的結果不斷送回模型,讓模型決定下一步該幹嘛。說白了,模型負責思考,Harness負責把這種思考真正落進現實世界。這也是為什麼Agent時代正在出現一個判斷,以後決定一個AI產品體驗好不好的,可能不只是用了哪個模型,而是這個模型是怎麼被組織起來工作的。OpenAI自己就給了個很典型的例子。在ARC-IGS這個公開測試集上,同樣是GPT5.6SAL這個模型,用官方Harness跑,得分13.3%。等系統進一步打開Retained Reasoning,也就是保留推理狀態和Compaction上下輪壓縮之後,得分直接提到38.3%,輸出的Token數量反而降到了大概1.6。注意,這不是說模型智商突然翻了三倍,真正值得關注的是,模型壓根沒換,系統表現卻發生了這麼大的變化。這說明大模型的競爭正在從單純比參數,比推理能力,往更深一層下沉。上下文怎麼管,工具怎麼組織,任務怎麼循環,錯誤怎麼恢復,人什麼時候該介入。模型是發動機,Harness才是變速箱,方向盤,導航,刹車,是整套駕駛控制系統。而Codex正在把這套能力越來越完整的開放給開發者。這裡有個容易被誤讀的地方,得澄清一下。Codex的Harness並不是昨天才突然開源的。Codex的代碼倉庫早就用的是Arpreci 2.0許可證。2025年,OpenAI就發布了Codex SDK,開發者可以把整套Agent能力欠進自己的工作流。到了2026年2月,又進一步公開了Codex App Server,一套雙向JSON RPC接口,能把Codex底層的Agent循環接近不同的產品界面裡。所以這次真正值得討論的,不是OpenAI突然把秘密武器免費送人,而是一個更大的趨勢正在成熟。Codex正在從一個產品慢慢變成可以嵌入其他產品的基礎能力。開發者大致有三條路可以走。最簡單的是Codex Exact,可以把Agent直接塞進腳本或者CI流程裡,幹一些邊界清楚的活。再往上是Codex SDK,應用可以創建、恢復現成、運行任務、接收結構化輸出,把Agent真正寫進業務邏輯裡。更深一層是App Server,它甚至不要求你的產品長得像Codex,你可以保留自己原本的界面,只是把底層的Agent循環接近來。這事看起來只是個技術架構上的變化,但可能會改寫AI軟件過去三年的一個基本套路。從ChatGPT爆發以來,行業裡幾乎形成了一種條件反射,只要用上AI就加一個聊天礦,客服要加,數據分析要加,CRM要加,財務軟件也要加,幾乎無一例外。結果就是底層模型越來越聰明,前端產品卻越來越像。但真實的工作根本不是圍繞聊天發生的。安全工程師面對的是告警列表,財務人員面對的是賬目表格,客服面對的是訂單和公班,物流面對的是貨單和庫存。醫生、律師、工程師,每個行業都有自己幾十年打磨出來的專業界面和操作習慣。凭什麼為了用AI,所有人都得離開這些系統,跑到一個空白聊天礦裡,把上下文重新說一遍。更合理的方向其實反過來,不是讓人去適應AI的界面,而是讓AI進到人本來就在用的界面裡去。Cisco已經給出了一個現實案例,他在Cisco Cloud Control裡推出了App Builder,直接把Codex SDK嵌進平台,讓客戶用自然語言創建定制應用,不用先跳到另一個AI工具裡幹完活,再把結果搬回來。稅務場景則更能說明問題。OpenAI, Thrive Holdings和Crate一起做的Tax AI,壓根沒打算讓會計師每天跟機器人聊天,而是直接進入了原本就存在的報稅流程。這一季度試點處理了700份報稅表,從業人員的修改、審核、糾錯,又被轉化成新的評測信號,繼續推動系統改進。這可能才是Agent真正能走進企業核心業務的方式。AI不是另外多出來的一個軟件,而是變成了原有軟件裡的一層隱形執行能力。當然,這裡有個邊界得說清楚。Codex的代碼用Apache 2.0許可證開源,不代表OpenAI把GPT模型的權重也一併開源了。開源Harness也不代表模型推理、算力、企業部署這些就變成零成本了。更不代表公司可以毫無安全措施地把數據庫、內部API、敏感文件全都甩給Agent去處理。真正成熟的企業及Agent反而會越來越強調全線邊界、殺箱、審計、工具白名單,以及關鍵動作必須有人確認的Human in the Loop機制。而這或許才是Codex Harness最值得關注的地方。過去幾年我們一直在問,下一代模型會有多聰明?但接下來,軟件行業可能會越來越頻繁地面對另一個問題。怎麼把這份聰明,安全、穩定、可控地裝進真實世界?從這個角度看,Harness的價值就很清楚了。模型決定的是智能的上限,Harness決定的是這種智能能不能真正幹活。而應用開發者真正的護城河也會重新回到自己的數據、工作流、專業界面、全線體系和行業理解上。未來最強大的AI產品,可能未必天天提醒你這裡有個AI。它可能沒有巨大的輸入框,沒有閃爍的機器人頭像,也不會要求你重新學一套操作方式。你打開的還是那個熟悉的財務軟件,運營看板,IDE,客服系統。只是從某一天開始,這些軟件突然開始自己理解任務,自己調用工具,自己執行工作。只在真正需要你的時候才停下來,問你一句,這一步要執行嗎?", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 6.0, "text": "OpenAI Codex Harness開源了,模型只是發動機,Harness才是那套駕駛系統。", "tokens": [50365, 45569, 48698, 15549, 87, 389, 16937, 8949, 47402, 2289, 11, 41908, 39823, 36859, 14637, 12572, 17543, 11, 39, 16937, 18888, 1541, 4184, 1881, 245, 165, 100, 243, 165, 100, 249, 25368, 33725, 1543, 50665], "temperature": 0, "avg_logprob": -0.10461287064985796, "compression_ratio": 1.1782729805013927, "no_speech_prob": 8.662922809654638e-12}, {"id": 1, "seek": 0, "start": 6.0, "end": 11.0, "text": "8月20日,OpenAI聯合創始人兼總裁Greg Brockman又一次把話題帶回了Codex。", "tokens": [50665, 23, 6939, 2009, 6890, 11, 45569, 48698, 43942, 14245, 5935, 113, 15476, 4035, 2347, 120, 26575, 8083, 223, 48254, 32093, 1601, 17047, 27505, 16075, 11103, 14475, 32379, 8350, 2289, 34, 1429, 87, 1543, 50915], "temperature": 0, "avg_logprob": -0.10461287064985796, "compression_ratio": 1.1782729805013927, "no_speech_prob": 8.662922809654638e-12}, {"id": 2, "seek": 0, "start": 11.0, "end": 21.0, "text": "他提到一個挺反直覺的案例,一套由Codex驅動的稅務系統,在試點中處理了大約7000份報稅表,把稅務準備時間縮短了1 3左右。", "tokens": [50915, 5000, 20949, 4511, 8990, 41046, 22138, 16186, 9463, 1546, 28899, 17797, 11, 2257, 1881, 245, 23786, 34, 1429, 87, 24023, 227, 12572, 1546, 10415, 227, 39517, 25368, 33725, 11, 3581, 22099, 8216, 5975, 39289, 13876, 2289, 3582, 30889, 22, 1360, 36266, 17803, 10415, 227, 17571, 11, 16075, 10415, 227, 39517, 36241, 20788, 21030, 106, 5881, 255, 2289, 16, 805, 29457, 1543, 51415], "temperature": 0, "avg_logprob": -0.10461287064985796, "compression_ratio": 1.1782729805013927, "no_speech_prob": 8.662922809654638e-12}, {"id": 3, "seek": 0, "start": 21.0, "end": 26.0, "text": "但如果你只把這理解成OpenAI又升級了一次編程AI,可能就錯過重點了。", "tokens": [51415, 8395, 45669, 14003, 16075, 2664, 13876, 17278, 11336, 45569, 48698, 17047, 41670, 35315, 2289, 27505, 12608, 101, 29649, 48698, 11, 16657, 3111, 13133, 8816, 12624, 8216, 2289, 1543, 51665], "temperature": 0, "avg_logprob": -0.10461287064985796, "compression_ratio": 1.1782729805013927, "no_speech_prob": 8.662922809654638e-12}, {"id": 4, "seek": 2600, "start": 26.0, "end": 32.0, "text": "這次真正值得聊的,甚至不是哪個新模型,而是模型背後那套執行系統Harness。", "tokens": [50365, 2664, 9487, 6303, 15789, 40242, 5916, 40096, 1546, 11, 17556, 20844, 7296, 17028, 3338, 12560, 41908, 39823, 11, 11070, 1541, 41908, 39823, 46329, 5661, 4184, 1881, 245, 16262, 115, 8082, 25368, 33725, 39, 16937, 1543, 50665], "temperature": 0, "avg_logprob": -0.0698443188693354, "compression_ratio": 1.305263157894737, "no_speech_prob": 1.3890382767611786e-11}, {"id": 5, "seek": 2600, "start": 32.0, "end": 37.0, "text": "很多人第一次聽到這個詞,會以為它就是個開發框架,其實不太準確。", "tokens": [50665, 20778, 4035, 18049, 9487, 21524, 4511, 6287, 6716, 252, 11, 6236, 3588, 6344, 11284, 5620, 3338, 8949, 14637, 21416, 228, 7360, 114, 11, 14139, 1960, 9455, 28220, 24293, 1543, 50915], "temperature": 0, "avg_logprob": -0.0698443188693354, "compression_ratio": 1.305263157894737, "no_speech_prob": 1.3890382767611786e-11}, {"id": 6, "seek": 2600, "start": 37.0, "end": 39.0, "text": "它更像是AI智能體的執行系統。", "tokens": [50915, 11284, 19002, 12760, 1541, 48698, 5094, 118, 8225, 23987, 1546, 16262, 115, 8082, 25368, 33725, 1543, 51015], "temperature": 0, "avg_logprob": -0.0698443188693354, "compression_ratio": 1.305263157894737, "no_speech_prob": 1.3890382767611786e-11}, {"id": 7, "seek": 2600, "start": 39.0, "end": 45.0, "text": "今天一個能連續工作幾十分鐘甚至幾個小時的Agent,Code從來不只是好模型加好Prompt。", "tokens": [51015, 12074, 8990, 8225, 36252, 29583, 41315, 23575, 20145, 32611, 17556, 20844, 23575, 3338, 46997, 1546, 32, 6930, 11, 34, 1429, 21068, 3763, 1960, 36859, 2131, 41908, 39823, 9990, 2131, 47, 4397, 662, 1543, 51315], "temperature": 0, "avg_logprob": -0.0698443188693354, "compression_ratio": 1.305263157894737, "no_speech_prob": 1.3890382767611786e-11}, {"id": 8, "seek": 2600, "start": 45.0, "end": 50.0, "text": "他得知道什麼時候該讀文件,什麼時候該搜索信息,什麼時候該調用工具,", "tokens": [51315, 5000, 5916, 7758, 7598, 14010, 22033, 7422, 222, 17174, 20485, 11, 7598, 14010, 22033, 162, 14987, 7732, 95, 17665, 26460, 11, 7598, 14010, 22033, 32943, 9254, 23323, 39806, 11, 51565], "temperature": 0, "avg_logprob": -0.0698443188693354, "compression_ratio": 1.305263157894737, "no_speech_prob": 1.3890382767611786e-11}, {"id": 9, "seek": 2600, "start": 50.0, "end": 54.0, "text": "任務失敗了怎麼恢復,上下輪越堆越長了怎麼壓縮,", "tokens": [51565, 26443, 39517, 28564, 7017, 245, 2289, 11614, 11845, 95, 2172, 102, 11, 5708, 4438, 12290, 103, 25761, 10726, 228, 25761, 15353, 2289, 11614, 45964, 21030, 106, 11, 51765], "temperature": 0, "avg_logprob": -0.0698443188693354, "compression_ratio": 1.305263157894737, "no_speech_prob": 1.3890382767611786e-11}, {"id": 10, "seek": 5400, "start": 54.0, "end": 58.0, "text": "哪些操作可以自動跑,哪些必須停下來等人審批。", "tokens": [50365, 17028, 13824, 13167, 235, 11914, 6723, 9722, 12572, 32585, 11, 17028, 13824, 28531, 8313, 230, 36135, 27769, 10187, 4035, 4510, 102, 3416, 117, 1543, 50565], "temperature": 0, "avg_logprob": -0.05985308101034572, "compression_ratio": 1.1620553359683794, "no_speech_prob": 2.0937935413245512e-11}, {"id": 11, "seek": 5400, "start": 58.0, "end": 66.0, "text": "他還要維護任務狀態,保存現成,處理權限,記錄過程,把工具執行的結果不斷送回模型,讓模型決定下一步該幹嘛。", "tokens": [50565, 5000, 7824, 4275, 9261, 255, 48289, 26443, 39517, 18637, 222, 45248, 11, 24302, 39781, 9581, 11336, 11, 39289, 13876, 40212, 43446, 11, 16958, 9567, 226, 8816, 29649, 11, 16075, 23323, 39806, 16262, 115, 8082, 1546, 35181, 1960, 4307, 115, 29309, 8350, 41908, 39823, 11, 21195, 41908, 39823, 33540, 12088, 45271, 31429, 22033, 44854, 1543, 50965], "temperature": 0, "avg_logprob": -0.05985308101034572, "compression_ratio": 1.1620553359683794, "no_speech_prob": 2.0937935413245512e-11}, {"id": 12, "seek": 5400, "start": 66.0, "end": 71.0, "text": "說白了,模型負責思考,Harness負責把這種思考真正落進現實世界。", "tokens": [50965, 4622, 13558, 2289, 11, 41908, 39823, 11561, 254, 11561, 105, 8870, 26504, 11, 39, 16937, 11561, 254, 11561, 105, 16075, 33005, 8870, 26504, 6303, 15789, 30848, 18214, 9581, 10376, 24486, 1543, 51215], "temperature": 0, "avg_logprob": -0.05985308101034572, "compression_ratio": 1.1620553359683794, "no_speech_prob": 2.0937935413245512e-11}, {"id": 13, "seek": 7100, "start": 71.0, "end": 83.0, "text": "這也是為什麼Agent時代正在出現一個判斷,以後決定一個AI產品體驗好不好的,可能不只是用了哪個模型,而是這個模型是怎麼被組織起來工作的。", "tokens": [50365, 2664, 22021, 18987, 32, 6930, 6611, 19105, 15789, 3581, 7781, 9581, 8990, 2437, 97, 4307, 115, 11, 3588, 5661, 33540, 12088, 8990, 48698, 33299, 30246, 23987, 24023, 245, 34291, 1546, 11, 16657, 1960, 36859, 9254, 2289, 17028, 3338, 41908, 39823, 11, 11070, 1541, 6287, 41908, 39823, 1541, 11614, 23238, 30052, 23141, 242, 21670, 41315, 1546, 1543, 50965], "temperature": 0, "avg_logprob": -0.06396377860725701, "compression_ratio": 1.1153846153846154, "no_speech_prob": 2.167715312806351e-11}, {"id": 14, "seek": 7100, "start": 83.0, "end": 85.0, "text": "OpenAI自己就給了個很典型的例子。", "tokens": [50965, 45569, 48698, 17645, 3111, 17798, 2289, 3338, 4563, 2347, 116, 39823, 1546, 17797, 7626, 1543, 51065], "temperature": 0, "avg_logprob": -0.06396377860725701, "compression_ratio": 1.1153846153846154, "no_speech_prob": 2.167715312806351e-11}, {"id": 15, "seek": 8500, "start": 85.0, "end": 94.0, "text": "在ARC-IGS這個公開測試集上,同樣是GPT5.6SAL這個模型,用官方Harness跑,得分13.3%。", "tokens": [50365, 3581, 1899, 34, 12, 40, 24446, 6287, 13545, 8949, 9592, 105, 22099, 26020, 5708, 11, 13089, 6180, 1541, 38, 47, 51, 20, 13, 21, 50, 3427, 6287, 41908, 39823, 11, 9254, 31929, 9249, 39, 16937, 32585, 11, 5916, 6627, 7668, 13, 18, 4, 1543, 50815], "temperature": 0, "avg_logprob": -0.1662745475769043, "compression_ratio": 1.0072992700729928, "no_speech_prob": 2.062615009346125e-11}, {"id": 16, "seek": 8500, "start": 94.0, "end": 105.0, "text": "等系統進一步打開Retained Reasoning,也就是保留推理狀態和Compaction上下輪壓縮之後,得分直接提到38.3%,輸出的Token數量反而降到了大概1.6。", "tokens": [50815, 10187, 25368, 33725, 18214, 2257, 31429, 12467, 8949, 49, 302, 3563, 39693, 278, 11, 6404, 5620, 24302, 24456, 33597, 13876, 18637, 222, 45248, 12565, 34, 8586, 2894, 5708, 4438, 12290, 103, 45964, 21030, 106, 26362, 11, 5916, 6627, 43297, 20949, 4511, 12625, 13, 18, 8923, 12290, 116, 7781, 1546, 51, 8406, 30622, 26748, 22138, 11070, 47421, 21381, 32044, 16, 13, 21, 1543, 51365], "temperature": 0, "avg_logprob": -0.1662745475769043, "compression_ratio": 1.0072992700729928, "no_speech_prob": 2.062615009346125e-11}, {"id": 17, "seek": 10500, "start": 105.0, "end": 113.0, "text": "注意,這不是說模型智商突然翻了三倍,真正值得關注的是,模型壓根沒換,系統表現卻發生了這麼大的變化。", "tokens": [50365, 40794, 11, 2664, 7296, 4622, 41908, 39823, 5094, 118, 45581, 40859, 5823, 42716, 2289, 10960, 35477, 11, 6303, 15789, 40242, 5916, 14899, 26432, 24620, 11, 41908, 39823, 45964, 31337, 4913, 36338, 11, 25368, 33725, 17571, 9581, 5322, 119, 14637, 8244, 2289, 21269, 39156, 26327, 23756, 1543, 50765], "temperature": 0, "avg_logprob": -0.057722732938569166, "compression_ratio": 1.2759643916913948, "no_speech_prob": 2.0526413901933438e-11}, {"id": 18, "seek": 10500, "start": 113.0, "end": 119.0, "text": "這說明大模型的競爭正在從單純比參數,比推理能力,往更深一層下沉。", "tokens": [50765, 2664, 4622, 11100, 3582, 41908, 39823, 1546, 11957, 114, 8164, 255, 15789, 3581, 21068, 24227, 7732, 242, 11706, 47375, 30622, 11, 11706, 33597, 13876, 8225, 13486, 11, 29510, 19002, 24043, 2257, 9636, 97, 4438, 3308, 231, 1543, 51065], "temperature": 0, "avg_logprob": -0.057722732938569166, "compression_ratio": 1.2759643916913948, "no_speech_prob": 2.0526413901933438e-11}, {"id": 19, "seek": 10500, "start": 119.0, "end": 125.0, "text": "上下文怎麼管,工具怎麼組織,任務怎麼循環,錯誤怎麼恢復,人什麼時候該介入。", "tokens": [51065, 5708, 4438, 17174, 11614, 23131, 11, 23323, 39806, 11614, 30052, 23141, 242, 11, 26443, 39517, 11614, 2172, 103, 40063, 108, 11, 13133, 3549, 97, 11614, 11845, 95, 2172, 102, 11, 4035, 7598, 14010, 22033, 30312, 14028, 1543, 51365], "temperature": 0, "avg_logprob": -0.057722732938569166, "compression_ratio": 1.2759643916913948, "no_speech_prob": 2.0526413901933438e-11}, {"id": 20, "seek": 10500, "start": 125.0, "end": 132.0, "text": "模型是發動機,Harness才是變速箱,方向盤,導航,刹車,是整套駕駛控制系統。", "tokens": [51365, 41908, 39823, 1541, 14637, 12572, 17543, 11, 39, 16937, 18888, 1541, 26327, 31217, 11249, 109, 11, 9249, 24282, 5419, 97, 11, 25647, 10256, 103, 11, 2437, 117, 25941, 11, 1541, 27662, 1881, 245, 165, 100, 243, 165, 100, 249, 48707, 25491, 25368, 33725, 1543, 51715], "temperature": 0, "avg_logprob": -0.057722732938569166, "compression_ratio": 1.2759643916913948, "no_speech_prob": 2.0526413901933438e-11}, {"id": 21, "seek": 13200, "start": 132.0, "end": 137.0, "text": "而Codex正在把這套能力越來越完整的開放給開發者。", "tokens": [50365, 11070, 34, 1429, 87, 15789, 3581, 16075, 2664, 1881, 245, 8225, 13486, 25761, 3763, 25761, 14128, 27662, 1546, 8949, 12744, 17798, 8949, 14637, 12444, 1543, 50615], "temperature": 0, "avg_logprob": -0.10464358042521649, "compression_ratio": 1.183381088825215, "no_speech_prob": 1.870195838471478e-11}, {"id": 22, "seek": 13200, "start": 137.0, "end": 143.0, "text": "這裡有個容易被誤讀的地方,得澄清一下。Codex的Harness並不是昨天才突然開源的。", "tokens": [50615, 18771, 2412, 3338, 49212, 23238, 3549, 97, 7422, 222, 1546, 30146, 11, 5916, 25621, 226, 21784, 8861, 1543, 34, 1429, 87, 1546, 39, 16937, 35934, 7296, 47404, 6135, 18888, 40859, 5823, 8949, 47402, 1546, 1543, 50915], "temperature": 0, "avg_logprob": -0.10464358042521649, "compression_ratio": 1.183381088825215, "no_speech_prob": 1.870195838471478e-11}, {"id": 23, "seek": 13200, "start": 143.0, "end": 147.0, "text": "Codex的代碼倉庫早就用的是Arpreci 2.0許可證。", "tokens": [50915, 34, 1429, 87, 1546, 19105, 16337, 120, 2122, 231, 6346, 104, 21176, 3111, 9254, 24620, 10683, 79, 3326, 568, 13, 15, 40914, 4429, 11823, 231, 1543, 51115], "temperature": 0, "avg_logprob": -0.10464358042521649, "compression_ratio": 1.183381088825215, "no_speech_prob": 1.870195838471478e-11}, {"id": 24, "seek": 13200, "start": 147.0, "end": 154.0, "text": "2025年,OpenAI就發布了Codex SDK,開發者可以把整套Agent能力欠進自己的工作流。", "tokens": [51115, 2009, 6074, 5157, 11, 45569, 48698, 3111, 14637, 34688, 2289, 34, 1429, 87, 37135, 11, 8949, 14637, 12444, 6723, 16075, 27662, 1881, 245, 32, 6930, 8225, 13486, 5988, 254, 18214, 17645, 1546, 41315, 27854, 1543, 51465], "temperature": 0, "avg_logprob": -0.10464358042521649, "compression_ratio": 1.183381088825215, "no_speech_prob": 1.870195838471478e-11}, {"id": 25, "seek": 13200, "start": 154.0, "end": 160.0, "text": "到了2026年2月,又進一步公開了Codex App Server,一套雙向JSON RPC接口,", "tokens": [51465, 21381, 2009, 10880, 5157, 17, 6939, 11, 17047, 18214, 2257, 31429, 13545, 8949, 2289, 34, 1429, 87, 3132, 25684, 11, 2257, 1881, 245, 6306, 247, 24282, 41, 10388, 497, 12986, 14468, 18144, 11, 51765], "temperature": 0, "avg_logprob": -0.10464358042521649, "compression_ratio": 1.183381088825215, "no_speech_prob": 1.870195838471478e-11}, {"id": 26, "seek": 16000, "start": 160.0, "end": 164.0, "text": "能把Codex底層的Agent循環接近不同的產品界面裡。", "tokens": [50365, 8225, 16075, 34, 1429, 87, 22816, 9636, 97, 1546, 32, 6930, 2172, 103, 40063, 108, 14468, 17463, 47123, 1546, 33299, 30246, 21185, 8833, 11066, 1543, 50565], "temperature": 0, "avg_logprob": -0.05069079399108887, "compression_ratio": 1.1553030303030303, "no_speech_prob": 1.677541612565836e-11}, {"id": 27, "seek": 16000, "start": 164.0, "end": 169.0, "text": "所以這次真正值得討論的,不是OpenAI突然把秘密武器免費送人,", "tokens": [50565, 7239, 2664, 9487, 6303, 15789, 40242, 5916, 5396, 236, 29340, 1546, 11, 7296, 45569, 48698, 40859, 5823, 16075, 8204, 246, 47838, 38194, 34386, 2347, 235, 50071, 29309, 4035, 11, 50815], "temperature": 0, "avg_logprob": -0.05069079399108887, "compression_ratio": 1.1553030303030303, "no_speech_prob": 1.677541612565836e-11}, {"id": 28, "seek": 16000, "start": 169.0, "end": 177.0, "text": "而是一個更大的趨勢正在成熟。Codex正在從一個產品慢慢變成可以嵌入其他產品的基礎能力。", "tokens": [50815, 11070, 1541, 8990, 19002, 39156, 9759, 101, 7978, 95, 15789, 3581, 11336, 21805, 253, 1543, 34, 1429, 87, 15789, 3581, 21068, 8990, 33299, 30246, 41439, 26327, 11336, 6723, 161, 113, 234, 14028, 9572, 5000, 33299, 30246, 1546, 26008, 14971, 236, 8225, 13486, 1543, 51215], "temperature": 0, "avg_logprob": -0.05069079399108887, "compression_ratio": 1.1553030303030303, "no_speech_prob": 1.677541612565836e-11}, {"id": 29, "seek": 16000, "start": 177.0, "end": 179.0, "text": "開發者大致有三條路可以走。", "tokens": [51215, 8949, 14637, 12444, 3582, 6784, 112, 2412, 10960, 31106, 24658, 6723, 9575, 1543, 51315], "temperature": 0, "avg_logprob": -0.05069079399108887, "compression_ratio": 1.1553030303030303, "no_speech_prob": 1.677541612565836e-11}, {"id": 30, "seek": 17900, "start": 179.0, "end": 186.0, "text": "最簡單的是Codex Exact,可以把Agent直接塞進腳本或者CI流程裡,幹一些邊界清楚的活。", "tokens": [50365, 8661, 31995, 24620, 34, 1429, 87, 7199, 11, 6723, 16075, 32, 6930, 43297, 13331, 252, 18214, 49595, 8802, 31148, 25240, 27854, 29649, 11066, 11, 29932, 38515, 14901, 21185, 38433, 1546, 25956, 1543, 50715], "temperature": 0, "avg_logprob": -0.1253423061999646, "compression_ratio": 1.0619469026548674, "no_speech_prob": 1.657787969400193e-11}, {"id": 31, "seek": 17900, "start": 186.0, "end": 195.0, "text": "再往上是Codex SDK,應用可以創建、恢復現成、運行任務、接收結構化輸出,把Agent真正寫進業務邏輯裡。", "tokens": [50715, 8623, 29510, 5708, 1541, 34, 1429, 87, 37135, 11, 20481, 9254, 6723, 5935, 113, 34157, 1231, 11845, 95, 2172, 102, 9581, 11336, 1231, 32772, 8082, 26443, 39517, 1231, 14468, 18681, 17144, 43362, 23756, 12290, 116, 7781, 11, 16075, 32, 6930, 6303, 15789, 4510, 104, 18214, 27119, 39517, 3023, 237, 12290, 107, 11066, 1543, 51165], "temperature": 0, "avg_logprob": -0.1253423061999646, "compression_ratio": 1.0619469026548674, "no_speech_prob": 1.657787969400193e-11}, {"id": 32, "seek": 19500, "start": 195.0, "end": 204.0, "text": "更深一層是App Server,它甚至不要求你的產品長得像Codex,你可以保留自己原本的界面,只是把底層的Agent循環接近來。", "tokens": [50365, 19002, 24043, 2257, 9636, 97, 1541, 9132, 25684, 11, 11284, 17556, 20844, 11962, 32718, 18961, 33299, 30246, 15353, 5916, 12760, 34, 1429, 87, 11, 42766, 24302, 24456, 17645, 19683, 8802, 1546, 21185, 8833, 11, 36859, 16075, 22816, 9636, 97, 1546, 32, 6930, 2172, 103, 40063, 108, 14468, 17463, 3763, 1543, 50815], "temperature": 0, "avg_logprob": -0.06582887276359227, "compression_ratio": 1.0655737704918034, "no_speech_prob": 2.0233056549634476e-11}, {"id": 33, "seek": 19500, "start": 204.0, "end": 210.0, "text": "這事看起來只是個技術架構上的變化,但可能會改寫AI軟件過去三年的一個基本套路。", "tokens": [50815, 2664, 6973, 4200, 21670, 36859, 3338, 32502, 9890, 241, 7360, 114, 43362, 5708, 1546, 26327, 23756, 11, 8395, 16657, 6236, 34490, 4510, 104, 48698, 14454, 253, 20485, 36910, 10960, 34128, 8990, 37946, 1881, 245, 24658, 1543, 51115], "temperature": 0, "avg_logprob": -0.06582887276359227, "compression_ratio": 1.0655737704918034, "no_speech_prob": 2.0233056549634476e-11}, {"id": 34, "seek": 21000, "start": 210.0, "end": 223.0, "text": "從ChatGPT爆發以來,行業裡幾乎形成了一種條件反射,只要用上AI就加一個聊天礦,客服要加,數據分析要加,CRM要加,財務軟件也要加,幾乎無一例外。", "tokens": [50365, 21068, 41683, 38, 47, 51, 45827, 14637, 3588, 3763, 11, 8082, 27119, 11066, 23575, 2930, 236, 30900, 11336, 2289, 2257, 16516, 31106, 20485, 22138, 1530, 226, 11, 14003, 4275, 9254, 5708, 48698, 3111, 9990, 8990, 40096, 6135, 14971, 99, 11, 32316, 27408, 4275, 9990, 11, 30622, 36841, 6627, 7360, 238, 4275, 9990, 11, 18547, 44, 4275, 9990, 11, 11561, 94, 39517, 14454, 253, 20485, 6404, 4275, 9990, 11, 23575, 2930, 236, 16976, 2257, 17797, 12022, 1543, 51015], "temperature": 0, "avg_logprob": -0.0532019403245714, "compression_ratio": 1.351032448377581, "no_speech_prob": 1.96870939689342e-11}, {"id": 35, "seek": 21000, "start": 223.0, "end": 227.0, "text": "結果就是底層模型越來越聰明,前端產品卻越來越像。", "tokens": [51015, 35181, 5620, 22816, 9636, 97, 41908, 39823, 25761, 3763, 25761, 8171, 108, 11100, 11, 8945, 11957, 107, 33299, 30246, 5322, 119, 25761, 3763, 25761, 12760, 1543, 51215], "temperature": 0, "avg_logprob": -0.0532019403245714, "compression_ratio": 1.351032448377581, "no_speech_prob": 1.96870939689342e-11}, {"id": 36, "seek": 21000, "start": 227.0, "end": 230.0, "text": "但真實的工作根本不是圍繞聊天發生的。", "tokens": [51215, 8395, 6303, 10376, 1546, 41315, 31337, 8802, 7296, 2523, 235, 23141, 252, 40096, 6135, 14637, 8244, 1546, 1543, 51365], "temperature": 0, "avg_logprob": -0.0532019403245714, "compression_ratio": 1.351032448377581, "no_speech_prob": 1.96870939689342e-11}, {"id": 37, "seek": 21000, "start": 230.0, "end": 238.0, "text": "安全工程師面對的是告警列表,財務人員面對的是賬目表格,客服面對的是訂單和公班,物流面對的是貨單和庫存。", "tokens": [51365, 45466, 23323, 29649, 16276, 8833, 2855, 24620, 16846, 39499, 43338, 17571, 11, 11561, 94, 39517, 4035, 20992, 8833, 2855, 24620, 13352, 105, 11386, 17571, 30921, 11, 32316, 27408, 8833, 2855, 24620, 28320, 24227, 12565, 13545, 44695, 11, 23516, 27854, 8833, 2855, 24620, 11561, 101, 24227, 12565, 6346, 104, 39781, 1543, 51765], "temperature": 0, "avg_logprob": -0.0532019403245714, "compression_ratio": 1.351032448377581, "no_speech_prob": 1.96870939689342e-11}, {"id": 38, "seek": 23800, "start": 238.0, "end": 244.0, "text": "醫生、律師、工程師,每個行業都有自己幾十年打磨出來的專業界面和操作習慣。", "tokens": [50365, 48351, 8244, 1231, 2172, 233, 16276, 1231, 23323, 29649, 16276, 11, 23664, 3338, 8082, 27119, 48121, 17645, 23575, 20145, 5157, 12467, 163, 13033, 29741, 1546, 46072, 27119, 21185, 8833, 12565, 13167, 235, 11914, 34025, 12358, 96, 1543, 50665], "temperature": 0, "avg_logprob": -0.06630031746554088, "compression_ratio": 1.194300518134715, "no_speech_prob": 1.709527484849982e-11}, {"id": 39, "seek": 23800, "start": 244.0, "end": 251.0, "text": "凭什麼為了用AI,所有人都得離開這些系統,跑到一個空白聊天礦裡,把上下文重新說一遍。", "tokens": [50665, 6336, 255, 7598, 6344, 2289, 9254, 48698, 11, 39300, 4035, 7182, 5916, 32662, 8949, 29869, 25368, 33725, 11, 32585, 4511, 8990, 23322, 13558, 40096, 6135, 14971, 99, 11066, 11, 16075, 5708, 4438, 17174, 12624, 12560, 4622, 2257, 3330, 235, 1543, 51015], "temperature": 0, "avg_logprob": -0.06630031746554088, "compression_ratio": 1.194300518134715, "no_speech_prob": 1.709527484849982e-11}, {"id": 40, "seek": 23800, "start": 251.0, "end": 258.0, "text": "更合理的方向其實反過來,不是讓人去適應AI的界面,而是讓AI進到人本來就在用的界面裡去。", "tokens": [51015, 19002, 14245, 13876, 1546, 9249, 24282, 14139, 22138, 49950, 11, 7296, 21195, 4035, 6734, 3330, 102, 20481, 48698, 1546, 21185, 8833, 11, 11070, 1541, 21195, 48698, 18214, 4511, 4035, 8802, 3763, 3111, 3581, 9254, 1546, 21185, 8833, 11066, 6734, 1543, 51365], "temperature": 0, "avg_logprob": -0.06630031746554088, "compression_ratio": 1.194300518134715, "no_speech_prob": 1.709527484849982e-11}, {"id": 41, "seek": 23800, "start": 258.0, "end": 266.0, "text": "Cisco已經給出了一個現實案例,他在Cisco Cloud Control裡推出了App Builder,直接把Codex SDK嵌進平台,", "tokens": [51365, 34, 8610, 25338, 17798, 7781, 2289, 8990, 9581, 10376, 28899, 17797, 11, 5000, 3581, 34, 8610, 8061, 12912, 11066, 33597, 7781, 2289, 9132, 11875, 260, 11, 43297, 16075, 34, 1429, 87, 37135, 161, 113, 234, 18214, 16716, 15433, 11, 51765], "temperature": 0, "avg_logprob": -0.06630031746554088, "compression_ratio": 1.194300518134715, "no_speech_prob": 1.709527484849982e-11}, {"id": 42, "seek": 26600, "start": 266.0, "end": 273.0, "text": "讓客戶用自然語言創建定制應用,不用先跳到另一個AI工具裡幹完活,再把結果搬回來。", "tokens": [50365, 21195, 32316, 1486, 114, 9254, 9722, 5823, 31348, 12009, 5935, 113, 34157, 12088, 25491, 20481, 9254, 11, 24384, 10108, 29366, 4511, 22762, 8990, 48698, 23323, 39806, 11066, 29932, 14128, 25956, 11, 8623, 16075, 35181, 22220, 105, 46556, 1543, 50715], "temperature": 0, "avg_logprob": -0.10211096445719402, "compression_ratio": 0.9565217391304348, "no_speech_prob": 1.87891941588747e-11}, {"id": 43, "seek": 26600, "start": 273.0, "end": 275.0, "text": "稅務場景則更能說明問題。", "tokens": [50715, 10415, 227, 39517, 21446, 50218, 46225, 19002, 8225, 4622, 11100, 17197, 1543, 50815], "temperature": 0, "avg_logprob": -0.10211096445719402, "compression_ratio": 0.9565217391304348, "no_speech_prob": 1.87891941588747e-11}, {"id": 44, "seek": 26600, "start": 275.0, "end": 279.0, "text": "OpenAI, Thrive Holdings和Crate一起做的Tax AI,", "tokens": [50815, 45569, 48698, 11, 334, 8003, 6962, 1109, 12565, 34, 4404, 29567, 10907, 1546, 51, 2797, 7318, 11, 51015], "temperature": 0, "avg_logprob": -0.10211096445719402, "compression_ratio": 0.9565217391304348, "no_speech_prob": 1.87891941588747e-11}, {"id": 45, "seek": 27900, "start": 279.0, "end": 286.0, "text": "壓根沒打算讓會計師每天跟機器人聊天,而是直接進入了原本就存在的報稅流程。", "tokens": [50365, 45964, 31337, 4913, 12467, 19497, 21195, 6236, 30114, 16276, 23664, 6135, 9678, 17543, 34386, 4035, 40096, 6135, 11, 11070, 1541, 43297, 18214, 14028, 2289, 19683, 8802, 3111, 39781, 3581, 1546, 17803, 10415, 227, 27854, 29649, 1543, 50715], "temperature": 0, "avg_logprob": -0.07157809463972897, "compression_ratio": 1.1210762331838564, "no_speech_prob": 1.8425063558202837e-11}, {"id": 46, "seek": 27900, "start": 286.0, "end": 295.0, "text": "這一季度試點處理了700份報稅表,從業人員的修改、審核、糾錯,又被轉化成新的評測信號,繼續推動系統改進。", "tokens": [50715, 32260, 8052, 96, 13127, 22099, 8216, 39289, 13876, 2289, 18197, 36266, 17803, 10415, 227, 17571, 11, 21068, 27119, 4035, 20992, 1546, 7792, 106, 34490, 1231, 4510, 102, 8987, 116, 1231, 15239, 122, 13133, 11, 17047, 23238, 32739, 23756, 11336, 12560, 1546, 39115, 9592, 105, 17665, 18616, 11, 38459, 33597, 12572, 25368, 33725, 34490, 18214, 1543, 51165], "temperature": 0, "avg_logprob": -0.07157809463972897, "compression_ratio": 1.1210762331838564, "no_speech_prob": 1.8425063558202837e-11}, {"id": 47, "seek": 29500, "start": 295.0, "end": 298.0, "text": "這可能才是Agent真正能走進企業核心業務的方式。", "tokens": [50365, 2664, 16657, 18888, 1541, 32, 6930, 6303, 15789, 8225, 9575, 18214, 7384, 223, 27119, 8987, 116, 7945, 27119, 39517, 1546, 9249, 27584, 1543, 50515], "temperature": 0, "avg_logprob": -0.07155802210823434, "compression_ratio": 1.1014492753623188, "no_speech_prob": 2.1357226751006486e-11}, {"id": 48, "seek": 29500, "start": 298.0, "end": 304.0, "text": "AI不是另外多出來的一個軟件,而是變成了原有軟件裡的一層隱形執行能力。", "tokens": [50515, 48698, 7296, 26202, 6392, 29741, 1546, 8990, 14454, 253, 20485, 11, 11070, 1541, 26327, 11336, 2289, 19683, 2412, 14454, 253, 20485, 11066, 1546, 2257, 9636, 97, 10673, 109, 30900, 16262, 115, 8082, 8225, 13486, 1543, 50815], "temperature": 0, "avg_logprob": -0.07155802210823434, "compression_ratio": 1.1014492753623188, "no_speech_prob": 2.1357226751006486e-11}, {"id": 49, "seek": 29500, "start": 304.0, "end": 306.0, "text": "當然,這裡有個邊界得說清楚。", "tokens": [50815, 21707, 11, 18771, 2412, 3338, 14901, 21185, 5916, 4622, 38433, 1543, 50915], "temperature": 0, "avg_logprob": -0.07155802210823434, "compression_ratio": 1.1014492753623188, "no_speech_prob": 2.1357226751006486e-11}, {"id": 50, "seek": 29500, "start": 306.0, "end": 313.0, "text": "Codex的代碼用Apache 2.0許可證開源,不代表OpenAI把GPT模型的權重也一併開源了。", "tokens": [50915, 34, 1429, 87, 1546, 19105, 16337, 120, 9254, 32, 79, 6000, 568, 13, 15, 40914, 4429, 11823, 231, 8949, 47402, 11, 1960, 19105, 17571, 45569, 48698, 16075, 38, 47, 51, 41908, 39823, 1546, 40212, 12624, 6404, 2257, 1593, 113, 8949, 47402, 2289, 1543, 51265], "temperature": 0, "avg_logprob": -0.07155802210823434, "compression_ratio": 1.1014492753623188, "no_speech_prob": 2.1357226751006486e-11}, {"id": 51, "seek": 31300, "start": 313.0, "end": 319.0, "text": "開源Harness也不代表模型推理、算力、企業部署這些就變成零成本了。", "tokens": [50365, 8949, 47402, 39, 16937, 6404, 1960, 19105, 17571, 41908, 39823, 33597, 13876, 1231, 19497, 13486, 1231, 7384, 223, 27119, 13470, 16469, 110, 29869, 3111, 26327, 11336, 6306, 114, 11336, 8802, 2289, 1543, 50665], "temperature": 0, "avg_logprob": -0.07827498854660406, "compression_ratio": 1.1850828729281768, "no_speech_prob": 1.7243038594183524e-11}, {"id": 52, "seek": 31300, "start": 319.0, "end": 326.0, "text": "更不代表公司可以毫無安全措施地把數據庫、內部API、敏感文件全都甩給Agent去處理。", "tokens": [50665, 19002, 1960, 19105, 17571, 13545, 32981, 6723, 7256, 104, 16976, 45466, 6900, 103, 4307, 121, 10928, 16075, 30622, 36841, 6346, 104, 1231, 28472, 13470, 4715, 40, 1231, 7017, 237, 9709, 17174, 20485, 11319, 7182, 3526, 102, 17798, 32, 6930, 6734, 39289, 13876, 1543, 51015], "temperature": 0, "avg_logprob": -0.07827498854660406, "compression_ratio": 1.1850828729281768, "no_speech_prob": 1.7243038594183524e-11}, {"id": 53, "seek": 31300, "start": 326.0, "end": 336.0, "text": "真正成熟的企業及Agent反而會越來越強調全線邊界、殺箱、審計、工具白名單,以及關鍵動作必須有人確認的Human in the Loop機制。", "tokens": [51015, 6303, 15789, 11336, 21805, 253, 1546, 7384, 223, 27119, 25703, 32, 6930, 22138, 11070, 6236, 25761, 3763, 25761, 22752, 32943, 11319, 31699, 14901, 21185, 1231, 45528, 11249, 109, 1231, 4510, 102, 30114, 1231, 23323, 39806, 13558, 15940, 24227, 11, 40282, 14899, 41668, 113, 12572, 11914, 28531, 8313, 230, 45820, 24293, 22041, 1546, 39, 6829, 294, 264, 45660, 17543, 25491, 1543, 51515], "temperature": 0, "avg_logprob": -0.07827498854660406, "compression_ratio": 1.1850828729281768, "no_speech_prob": 1.7243038594183524e-11}, {"id": 54, "seek": 31300, "start": 336.0, "end": 340.0, "text": "而這或許才是Codex Harness最值得關注的地方。", "tokens": [51515, 11070, 2664, 19780, 40914, 18888, 1541, 34, 1429, 87, 389, 16937, 8661, 40242, 5916, 14899, 26432, 1546, 30146, 1543, 51715], "temperature": 0, "avg_logprob": -0.07827498854660406, "compression_ratio": 1.1850828729281768, "no_speech_prob": 1.7243038594183524e-11}, {"id": 55, "seek": 34000, "start": 340.0, "end": 344.0, "text": "過去幾年我們一直在問,下一代模型會有多聰明?", "tokens": [50365, 36910, 23575, 5157, 5884, 34448, 3581, 11361, 11, 45271, 19105, 41908, 39823, 6236, 2412, 6392, 8171, 108, 11100, 30, 50565], "temperature": 0, "avg_logprob": -0.07011800823789655, "compression_ratio": 1.3079019073569482, "no_speech_prob": 2.187994056768172e-11}, {"id": 56, "seek": 34000, "start": 344.0, "end": 348.0, "text": "但接下來,軟件行業可能會越來越頻繁地面對另一個問題。", "tokens": [50565, 8395, 40012, 11, 14454, 253, 20485, 8082, 27119, 16657, 6236, 25761, 3763, 25761, 29940, 23141, 223, 10928, 8833, 2855, 22762, 8990, 17197, 1543, 50765], "temperature": 0, "avg_logprob": -0.07011800823789655, "compression_ratio": 1.3079019073569482, "no_speech_prob": 2.187994056768172e-11}, {"id": 57, "seek": 34000, "start": 348.0, "end": 353.0, "text": "怎麼把這份聰明,安全、穩定、可控地裝進真實世界?", "tokens": [50765, 11614, 16075, 2664, 36266, 8171, 108, 11100, 11, 45466, 1231, 13740, 102, 12088, 1231, 4429, 48707, 10928, 44453, 18214, 6303, 10376, 24486, 30, 51015], "temperature": 0, "avg_logprob": -0.07011800823789655, "compression_ratio": 1.3079019073569482, "no_speech_prob": 2.187994056768172e-11}, {"id": 58, "seek": 34000, "start": 353.0, "end": 356.0, "text": "從這個角度看,Harness的價值就很清楚了。", "tokens": [51015, 21068, 6287, 29389, 13127, 4200, 11, 39, 16937, 1546, 45441, 40242, 3111, 4563, 38433, 2289, 1543, 51165], "temperature": 0, "avg_logprob": -0.07011800823789655, "compression_ratio": 1.3079019073569482, "no_speech_prob": 2.187994056768172e-11}, {"id": 59, "seek": 34000, "start": 356.0, "end": 362.0, "text": "模型決定的是智能的上限,Harness決定的是這種智能能不能真正幹活。", "tokens": [51165, 41908, 39823, 33540, 12088, 24620, 5094, 118, 8225, 1546, 5708, 43446, 11, 39, 16937, 33540, 12088, 24620, 33005, 5094, 118, 8225, 8225, 28590, 6303, 15789, 29932, 25956, 1543, 51465], "temperature": 0, "avg_logprob": -0.07011800823789655, "compression_ratio": 1.3079019073569482, "no_speech_prob": 2.187994056768172e-11}, {"id": 60, "seek": 34000, "start": 362.0, "end": 369.64, "text": "而應用開發者真正的護城河也會重新回到自己的數據、工作流、專業界面、全線體系和行業理解上。", "tokens": [51465, 11070, 20481, 9254, 8949, 14637, 12444, 6303, 15789, 1546, 48289, 45277, 3308, 111, 6404, 6236, 12624, 12560, 8350, 4511, 17645, 1546, 30622, 36841, 1231, 41315, 27854, 1231, 46072, 27119, 21185, 8833, 1231, 11319, 31699, 23987, 25368, 12565, 8082, 27119, 13876, 17278, 5708, 1543, 51847], "temperature": 0, "avg_logprob": -0.07011800823789655, "compression_ratio": 1.3079019073569482, "no_speech_prob": 2.187994056768172e-11}, {"id": 61, "seek": 37000, "start": 370.0, "end": 374.0, "text": "未來最強大的AI產品,可能未必天天提醒你這裡有個AI。", "tokens": [50365, 29954, 3763, 8661, 22752, 39156, 48698, 33299, 30246, 11, 16657, 29954, 28531, 6135, 6135, 20949, 40796, 2166, 18771, 2412, 3338, 48698, 1543, 50565], "temperature": 0, "avg_logprob": -0.05814369987039005, "compression_ratio": 1.1441048034934498, "no_speech_prob": 2.3517760655566988e-11}, {"id": 62, "seek": 37000, "start": 374.0, "end": 380.0, "text": "它可能沒有巨大的輸入框,沒有閃爍的機器人頭像,也不會要求你重新學一套操作方式。", "tokens": [50565, 11284, 16657, 6963, 5238, 101, 39156, 12290, 116, 14028, 21416, 228, 11, 6963, 5196, 225, 8164, 235, 1546, 17543, 34386, 4035, 19921, 12760, 11, 6404, 21121, 4275, 32718, 2166, 12624, 12560, 21372, 2257, 1881, 245, 13167, 235, 11914, 9249, 27584, 1543, 50865], "temperature": 0, "avg_logprob": -0.05814369987039005, "compression_ratio": 1.1441048034934498, "no_speech_prob": 2.3517760655566988e-11}, {"id": 63, "seek": 37000, "start": 380.0, "end": 386.0, "text": "你打開的還是那個熟悉的財務軟件,運營看板,IDE,客服系統。", "tokens": [50865, 2166, 12467, 8949, 1546, 25583, 20754, 21805, 253, 14696, 231, 1546, 11561, 94, 39517, 14454, 253, 20485, 11, 32772, 24184, 253, 4200, 43664, 11, 29283, 11, 32316, 27408, 25368, 33725, 1543, 51165], "temperature": 0, "avg_logprob": -0.05814369987039005, "compression_ratio": 1.1441048034934498, "no_speech_prob": 2.3517760655566988e-11}, {"id": 64, "seek": 38600, "start": 386.0, "end": 393.0, "text": "只是從某一天開始,這些軟件突然開始自己理解任務,自己調用工具,自己執行工作。", "tokens": [50365, 36859, 21068, 17238, 238, 2257, 6135, 21017, 11, 29869, 14454, 253, 20485, 40859, 5823, 21017, 17645, 13876, 17278, 26443, 39517, 11, 17645, 32943, 9254, 23323, 39806, 11, 17645, 16262, 115, 8082, 41315, 1543, 50715], "temperature": 0, "avg_logprob": -0.07878539675757998, "compression_ratio": 1.1481481481481481, "no_speech_prob": 2.261777397316589e-11}, {"id": 65, "seek": 38600, "start": 393.0, "end": 398.0, "text": "只在真正需要你的時候才停下來,問你一句,這一步要執行嗎?", "tokens": [50715, 14003, 3581, 6303, 15789, 35748, 18961, 14010, 18888, 36135, 27769, 11, 11361, 2166, 2257, 34592, 11, 32260, 31429, 4275, 16262, 115, 8082, 7434, 30, 50965], "temperature": 0, "avg_logprob": -0.07878539675757998, "compression_ratio": 1.1481481481481481, "no_speech_prob": 2.261777397316589e-11}], "language": "zh"}