{
  "text": "首先必須說漲價是萬惡之源。你看我前幾天每天大概消耗17、8塊錢。在8月17號,就昨天了。我還出門辦事了。實際上我只是修改了我的論壇APP,一些小的bug,把功能給完善一下。然後它居然就消耗了我40塊錢。\n这都是一些非常傻逼的功能\n没有什么难度的功能\n但是由于这个APP它涉及到的东西太多了\n所以说我不得不用PRO\n它在这个多轮长链任务中\n能够比较准确的召回上下文\n它的注意力机制是比VSFlash要更好一点的\n但是呢\n你说值这么多钱吗\n如果说像我一样\n只是说偶尔开发一个APP\n那么可能花个500块钱左右\n能把这个事情给搞定\n那么我认为还是有性价比的\n用VisFlash能不能做出这个APP呢\n答案是应该是能做的\n但是它有一些细节处理\n就是会让你觉得\n没有用VisPro那么丝滑\n因为VSFlash\n如果说你迭代超过\n五六百轮\n你超过个什么五六百步\n那他的注意力机制就比不上VSPro了\n有很多人说要用什么GPT5.6LULA\n什么替代DeepSeekVisPro\n我也不知道这些人在我\n这个视频评论区留言的意义是什么\n是不是在暴露自己的智商\n就如果说你说是做一些简单的任务\n那么你用DeepSeekVisFlash\n或者用小米Memo\n像这个腾讯的混元3都可以完成\n但如果说你真正开发过程序\n你都不会输出这么傻的话\nGPT5.6在长链任务中可以说\n就是基本上就是智障\n它完全不具有任何长链开发的价值\n但是呢\n我是比较建议大家去订阅GPT的Coding Plan\n因为你想一想\n像这样子开发\n你一个月一千块钱\n就是高频开发\n你是挡不住的\n由这一千块钱可以去订阅什么\n字节跳动的Trae\n它的国内版是一千块钱每个月\n国际版是一百美金每个月\n那个变成体验还是相当不错的\n然后呢就是GPT\n你如果说愿意花一百美金两百美金\n你还怕找不到好的这个订阅计划吗\n是吧\n我觉得对于有这种编程需求的人来说\n你这么实打实的消耗还是有点痛的\n当然还有一个好的方法\n就是我们把我们的一些琐碎的工作给解放出来\n就大家就不要去拼这个在线AI了\n那么我有两张显卡\n之前我也介绍过\n我有一张7900XTX\n一张4090D 48G\n那么我这张4090我是不想拿出来\n去配置本地AI的\n第一因为它噪音比较大\n我坐在旁边听得不舒服\n第二就是我要用它来\n做一些简单的视频\n就我现在不是做了个自动剪辑器吗\n我要用它来做AI视频\n所以说我是不愿意把它拿出来\n让这个Qwen3.8 27B占用的\n但是呢\n我又知道\n如果用Llama.cpp去驱动\nQwen3.8 27B\n然后用我的7900XTX\n这个五六千块钱的老将来出战的话\n我怕体验不好\n最起码说\n如果你要驱动Hermes\n驱动这个OpenCL的话\n你没有SG-Lang\n那基本上会慢成傻逼\n但是现在有了DeepSeek Harness\n一切就不同了\n我们论坛也来了一个新的大神\n虽然现在还没有等级\n叫EXLLM\n这位兄弟的帖子呢\n我看一下就是\n按照往常来讲的话\n如果说发帖不截图\n然后我基本上不可能给他置顶的\n而且我也不太看得起这种帖子\n但是他的帖子我看了就是\n从一开始我就知道不一样\n我这人直觉还是比较准\n然后我就想不如试他这个方案\n我认为可信度是非常高的\n他说什么呢\n它是Ryzen 5 5600 32G的内存\n然后7900XTX显卡\n系统是Ubuntu 26.04\n软件是Llama.cpp加上Vulkan\n就是Vulkan版本的\n它能干什么呢\n能开发一些小游戏\n能驱动这个Deepseek Harness\n并且能改几万行代码的\n这个C++项目\n这个就有点牛逼了\n平均50T/s每秒\n缓存命中98%\n参数也给的非常的明确\n用了什么模型也写了\n这个效果抛起来是非常的夸张的\n但是我就不太清楚\n就是说这个速度怎么样\n他就给我举了这个\n能启动的例子\n我看了一下这样子就已经跟\n我喜欢的SG-Lang达到了一个水平\n如果说DeepSeek Harness加上Llama.cpp\n能够达到如此好的效果\n那我在本地部署模型的时候\n就完全没有必要去浪费我这张4090 24G了\n而且你看它是给了128K上下文的\n这个128K上下文是能够干大事的\n因为千万3.8 27B\n你就算是给它配256K上下文\n它达到150K之后\n到200K的样子\n它也会变成智障\n它的召回准确率是不够的\n所以如果说\n这个24G的7900XTX\n能够驱动Q5版本的\nQ5量化版本的\n这个Qwen3.8 27B\n我认为是非常好的\n那我就照抄了\n经过我的详细测试\n我就直接给大家汇报\n今天我们完全不废话\n就是\n完全可以用\n比如说\n查查天气\n聊聊什么代码\n这些我这样跟你讲\nDeepSeek Harness比Hermes\n比OpenCloud牛逼的地方就在于\n你平时聊天的时候\n它的响应速度是非常快的\n它不会给你想半天\n然后如果是执行什么长链任务\n其实也是不错的\n你看看\n16轮53步的聊天\n它的平均是5秒\n46TK每秒\n緩存命中率96%\n因为我刚刚聊的话题是比较杂的\n有这个哲学\n有历史\n什么都有\n有这个服务器的配置\n都有\n还包括让他去网络上搜索东西\n那么回到我们以前的这个老三样来\n就是我也对他进行了一些测试\n就我让他生成一个网页\n展示中国的传统八卦\n然后生成一个SVG\n表达这个什么\n薛定谔的猫想實驗阿基米德原理\n還有土星環的運行原理\n我看一下\n这是他做的第一版八卦图\n由于我是把推理给关了\n否则他容易卡死\n而且非常的慢\n但是关了之后\n我感觉他的编程智力是有所下降的\n不过这个怎么说呢\n给70分嘛\n我就跟他讲说这样不好\n能不能给我改进一下\n就改进出了这么个玩意\n聊甚於無\n我还是不满意\n又让他给我改进一半\n看来这个就是他上线了\n并且他这个\n挂位我感觉还是没搞对\n這個就是清文家族一直的bug\n他始終沒有辦法\n把这个挂项的位置给搞对\n但是这个程序我认为\n审美是比DPC个家族要好多了\n这个网页我给80分\n下面就是图记中英的运行原理\n这一块它可以说是吊打DeepSeek\nV4 Flux或者是Pro\n第一它画的非常的详细\n第二就是它没有什么字体被遮盖\n然后原理也非常的清晰\n并且分段都有\n非常的好\n但是呢\n我不是说了吗\n我其实比较喜欢DeepSeekV4 Pro那种\n就是离画原理图\n就没有必要画的这么详细\n这个一般人可能对于\n想深入了解的人来说的话\n这个是非常详细\n一般人看到这么多元素可能会懵逼\n这个我给90分\n然后生成一个SVG表达\n薛顶尔德茂斯想实验\n这一块我认为他画的也比那个什么\nDeepSick V4 Pro要好一点\n第一没有自己的DiA准确的把握了\n这个实验的原理\n两种状态\n迭加碳\n改革技术器这些都有了\n这个我给80分\n主要是因为没有画得非常的有逼格\n非常的漂亮\n那么下一个就是阿基米的原理\n不提这个我才想起来\n前天DeepSigVisPro生成那个是错误的\n就是它那个演示方法是不对的\n我觉得有点傻不下来\n当时没反应过来\n这个才是真正的阿基米的原理\n他讲的是福利\n威斯普罗好像把它搞成了什么\n杠杆原理\n所以人有的时候脑子是抽风了\n这一块他还是胜过威斯普罗的\n就说即便他是关了推理的情况下\n在单轮编程中\n轻微27比的编程能力是非常强悍的\n这一点是必须要承认的\n他完全不输给Deepseek\nVS Flux或者Pro\n但是你也知道\n我们不能光看单轮\n我们得看长线\n大家知道我用\nChrome浏览器\n来访问Deepseek\nHannis\n他老是提醒证书有问题\n不安全\n有的时候他谈框是谈不出来的\n是有bug的\n我就必须把这个绘画给终止掉\n在这种情况下\n我们就要进行一些\n长线任务了\n对了\n刚才我们说长线任务\n我们要看一下\n就是它的\n一共进行了14轮90步迭代\n然后手token平均2.6秒\n这个token是54token准每秒\n缓存命路率99%\n就是在编程这一块\n它的缓存命路率\n可以变得非常的高\n如果你聊天聊得比较杂的话\n那么你的缓存命路率就不高\n还有就是\n它现在那么2.cpp有一个问题\n就是如果说你用时间长了\n它会变得比较卡\n就后面的平均特格子是不如前面的\n不过我已经跑了好几个小时了\n我感觉有这样的表现\n能够跟SG浪较较版是没有问题的\n最起码你可以通过一个什么脚本\n来让它隔一段时间去把这个显存给清理一下\n说不定效果会好一点\n就是如果你要多开的话\n可能必须需要上VLLM或者SG浪\n但是他们就没有NAMD.CPP这么轻量了\n我认为不值得\n我要去修正这个问题怎么办呢\n我就要自己开发一个\n简单的播放器\n简单的浏览器\n就是这个样子\n把它关掉\n这个事情就是让\n千万27B自己开发的\n你看\n一共迭代14轮\n145步\n花了31分钟时间\n平均手托坑是4.8秒\ntokens是46tokens每秒\n管存命中率99%\n它做出一个什么东西来呢\n就现在它点击它\n它就可以跳过\nhttps证书的检查\n直接给我再入到我指定的地址\n这地址是可以改的\n然后呢\n我就可以直接跟它聊天\n后面我会把我跟他聊天的一些片段\n发给大家看一下\n就是你如果说纯粹的聊天的话\n它比起其他的框架\n真的是好太多了\n你其他的agent跟他的效率完全不能比\n它就是相当于你一个大模型直接聊天\n就大模型是怎么延迟\n它就是怎么延迟\n所以说DeepSeek Harness在这一块真的是一个极品\n是一个非常牛逼的工具\n要知道\n这还是RC版本\n它不是正式版\n它甚至都不是β版本\n我觉得它未来的前途\n不可限量\n最起码说\n7900XTX这张显卡\n因为它的存在\n而大大升值了\n就是它能够驱动\nQwen3.8 27B\n这么一个重磅的模型\n然后以一个非常不错的\n输出速度\n能够执行这种\n不能说叫\n太大的这个编程任务\n但是起码它也是长链的\n多轮迭代的编程任务\n我认为有这样的能力就够了\n因为我们再复杂的项目\n我们可以开发一个模块\n开发一个框架\n然后把它设计好之后\n上传到这个Git服务器\n然后我们一个模块\n一个模块来开发\n你规划好的话\n它千万3.827B\n目前的能力是完全够的\n这个东西讲实话\n7900XTX我当时买的时候是6000出头\n已经很久了\n它现在可能只需要5000块钱\n兄弟们5000块钱\n能够用\nQ5K版本的\n请问\n3.8 27B\n你还叫什么自行车\n能玩agent\n能跟大模型聊天\n并且他还给你配备了\n搜索工具\n兄弟们\n这个性价比还不是拿满了\n还考虑什么\n抓紧造起来吧\nDeepseek涨价是Deepseek的事\n我们在本地有一些简单的任务\n都可以通过它来完成了\n对了\n我后面把这个片段放上来\n就是我自己也没有讲话\n就是我使用它的时候的录像\n大家就凑合着听一下\n好吧\n因为我这张老脸\n我当时也忘记把这个摄像头给关掉了\n希望我这张老脸不至于影响大家观看体验\n好吧 本期视频就到这里\n我们下期再见\n我可以用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n我可以做\n我可以用你的手指\n我可以用你的手指\n我可以用你的手指\n我可以用你的手指\n我可以用你的手指\n我可以用你的手指\n請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字\n我可以用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n好\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n我可以做到\n好\n北京市暴雨预警 雷雨预警\n不是多云吗\n降水概率35%\n有点靠谱 湿度69%\n我可以做到\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用手指的\n我可以用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n用它\n好\n我先把手放在一起\n我先把手放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n好，我先把手頭放在一起\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯\n嗯",
  "language": "zh",
  "duration": 1319.381063,
  "segments": [
    {
      "start": 0.0,
      "end": 20.4,
      "text": "首先必須說漲價是萬惡之源。你看我前幾天每天大概消耗17、8塊錢。在8月17號,就昨天了。我還出門辦事了。實際上我只是修改了我的論壇APP,一些小的bug,把功能給完善一下。然後它居然就消耗了我40塊錢。",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.23383651116881707,
      "no_speech_prob": 1.0737735353649747e-11,
      "compression_ratio": 1.1302521008403361
    },
    {
      "start": 20.4,
      "end": 23.84,
      "text": "这都是一些非常傻逼的功能",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742
    },
    {
      "start": 23.84,
      "end": 26.36,
      "text": "没有什么难度的功能",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742
    },
    {
      "start": 26.36,
      "end": 29.4,
      "text": "但是由于这个APP它涉及到的东西太多了",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
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    {
      "start": 29.4,
      "end": 31.24,
      "text": "所以说我不得不用PRO",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742
    },
    {
      "start": 31.24,
      "end": 36.4,
      "text": "它在这个多轮长链任务中",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742,
      "text_original": "它在这个多轮常例任务中",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 36.4,
      "end": 38.9,
      "text": "能够比较准确的召回上下文",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742
    },
    {
      "start": 38.9,
      "end": 42.04,
      "text": "它的注意力机制是比VSFlash要更好一点的",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742,
      "text_original": "它的注意力机制是比VSFLAG要更好一点的",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 45.62,
      "end": 46.3,
      "text": "但是呢",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
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    },
    {
      "start": 46.3,
      "end": 48.62,
      "text": "你说值这么多钱吗",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.2389641803243886,
      "no_speech_prob": 1.6192715571183847e-11,
      "compression_ratio": 1.185483870967742
    },
    {
      "start": 48.62,
      "end": 50.62,
      "text": "如果说像我一样",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.1455969492594401,
      "no_speech_prob": 1.4284900519412336e-11,
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    {
      "start": 50.62,
      "end": 53.78,
      "text": "只是说偶尔开发一个APP",
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    {
      "start": 53.78,
      "end": 55.72,
      "text": "那么可能花个500块钱左右",
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    {
      "start": 55.72,
      "end": 57.36,
      "text": "能把这个事情给搞定",
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    {
      "start": 57.36,
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      "text": "那么我认为还是有性价比的",
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    {
      "start": 59.46,
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      "text": "用VisFlash能不能做出这个APP呢",
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    {
      "start": 62.88,
      "end": 65.68,
      "text": "答案是应该是能做的",
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    {
      "start": 65.68,
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      "text": "但是它有一些细节处理",
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    {
      "start": 67.36,
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      "text": "就是会让你觉得",
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    {
      "start": 69.98,
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      "text": "没有用VisPro那么丝滑",
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      "start": 71.46,
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      "text": "因为VSFlash",
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      "text_original": "因为VisFlash",
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    {
      "start": 73.34,
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      "text": "如果说你迭代超过",
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    {
      "start": 74.92,
      "end": 76.54,
      "text": "五六百轮",
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      "text_original": "五六四轮",
      "correction_applied": true,
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    {
      "start": 76.54,
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      "text": "你超过个什么五六百步",
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    {
      "start": 79.5,
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      "text": "那他的注意力机制就比不上VSPro了",
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      "text_original": "那他的注意力机制就比不上VisPro了",
      "correction_applied": true,
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    {
      "start": 83.82,
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      "text": "有很多人说要用什么GPT5.6LULA",
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    {
      "start": 88.76,
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      "text": "什么替代DeepSeekVisPro",
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    {
      "start": 91.02,
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      "text": "我也不知道这些人在我",
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    {
      "start": 92.86,
      "end": 95.92,
      "text": "这个视频评论区留言的意义是什么",
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    {
      "start": 95.92,
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      "text": "是不是在暴露自己的智商",
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    {
      "start": 99.08,
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      "text": "就如果说你说是做一些简单的任务",
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    {
      "start": 103.08,
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      "text": "那么你用DeepSeekVisFlash",
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    {
      "start": 105.26,
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      "text": "或者用小米Memo",
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    {
      "start": 106.54,
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      "text": "像这个腾讯的混元3都可以完成",
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    {
      "start": 109.38,
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      "text": "但如果说你真正开发过程序",
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    {
      "start": 111.3,
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      "text": "你都不会输出这么傻的话",
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    {
      "start": 112.8,
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      "text": "GPT5.6在长链任务中可以说",
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    {
      "start": 114.82,
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      "text": "就是基本上就是智障",
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    {
      "start": 116.0,
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      "text": "它完全不具有任何长链开发的价值",
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    {
      "start": 120.18,
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      "text": "但是呢",
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    {
      "start": 124.62,
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      "text": "我是比较建议大家去订阅GPT的Coding Plan",
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      "start": 127.98,
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      "text": "因为你想一想",
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    {
      "start": 129.46,
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      "text": "像这样子开发",
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    {
      "start": 130.72,
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      "text": "你一个月一千块钱",
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    {
      "start": 132.62,
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      "text": "就是高频开发",
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    {
      "start": 133.86,
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      "text": "你是挡不住的",
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    {
      "start": 134.6,
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      "text": "由这一千块钱可以去订阅什么",
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    {
      "start": 136.38,
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      "text": "字节跳动的Trae",
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      "text_original": "字节跳动的TRAE",
      "correction_applied": true,
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    },
    {
      "start": 137.8,
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      "text": "它的国内版是一千块钱每个月",
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    {
      "start": 140.4,
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      "text": "国际版是一百美金每个月",
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    {
      "start": 142.86,
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      "text": "那个变成体验还是相当不错的",
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    {
      "start": 146.84,
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      "text": "然后呢就是GPT",
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      "text_original": "然后呢就是GBT",
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      "start": 148.4,
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      "text": "你如果说愿意花一百美金两百美金",
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    {
      "start": 150.92,
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      "text": "你还怕找不到好的这个订阅计划吗",
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    {
      "start": 153.58,
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      "text": "是吧",
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    {
      "start": 154.78,
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      "text": "我觉得对于有这种编程需求的人来说",
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      "text_original": "我觉得对于有这种变成需求的人来说",
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    {
      "start": 158.84,
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      "text": "你这么实打实的消耗还是有点痛的",
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    {
      "start": 163.88,
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      "text": "当然还有一个好的方法",
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    {
      "start": 165.68,
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      "text": "就是我们把我们的一些琐碎的工作给解放出来",
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    {
      "start": 168.88,
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      "text": "就大家就不要去拼这个在线AI了",
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    {
      "start": 173.02,
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      "text": "那么我有两张显卡",
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    {
      "start": 175.42,
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      "text": "之前我也介绍过",
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    {
      "start": 176.54,
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      "text": "我有一张7900XTX",
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      "text_original": "我有一张7900XDX",
      "correction_applied": true,
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    {
      "start": 177.8,
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      "text": "一张4090D 48G",
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      "text_original": "一张4090D48G",
      "correction_applied": true,
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    {
      "start": 179.36,
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      "text": "那么我这张4090我是不想拿出来",
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    {
      "start": 181.58,
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      "text": "去配置本地AI的",
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    {
      "start": 183.72,
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      "text": "第一因为它噪音比较大",
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    {
      "start": 184.86,
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      "text": "我坐在旁边听得不舒服",
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    {
      "start": 186.68,
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      "text": "第二就是我要用它来",
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    {
      "start": 188.22,
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      "text": "做一些简单的视频",
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    {
      "start": 190.16,
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      "text": "就我现在不是做了个自动剪辑器吗",
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      "start": 192.82,
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      "text": "我要用它来做AI视频",
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      "avg_logprob": -0.17285125934525042,
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    {
      "start": 194.38,
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      "text": "所以说我是不愿意把它拿出来",
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      "no_speech_prob": 1.9680840290803303e-11,
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    },
    {
      "start": 197.16,
      "end": 200.96,
      "text": "让这个Qwen3.8 27B占用的",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
      "compression_ratio": 1.1672240802675586,
      "text_original": "让这个什么千万3.827B占用的",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 200.96,
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      "text": "但是呢",
      "chunk": 0,
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    {
      "start": 201.88,
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      "text": "我又知道",
      "chunk": 0,
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      "compression_ratio": 1.1672240802675586
    },
    {
      "start": 202.92,
      "end": 205.28,
      "text": "如果用Llama.cpp去驱动",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
      "compression_ratio": 1.1672240802675586,
      "text_original": "如果用Nama.CPP去驱动",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 205.28,
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      "text": "Qwen3.8 27B",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
      "compression_ratio": 1.1672240802675586,
      "text_original": "千万3.827B",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 207.36,
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      "text": "然后用我的7900XTX",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
      "compression_ratio": 1.1672240802675586,
      "text_original": "然后用我的7900XDX",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 209.08,
      "end": 213.34,
      "text": "这个五六千块钱的老将来出战的话",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
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    {
      "start": 213.34,
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      "text": "我怕体验不好",
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    {
      "start": 215.4,
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      "text": "最起码说",
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      "compression_ratio": 1.1672240802675586
    },
    {
      "start": 216.32,
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      "text": "如果你要驱动Hermes",
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      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
      "compression_ratio": 1.1672240802675586,
      "text_original": "如果你要驱动Hermis",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 217.4,
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      "text": "驱动这个OpenCL的话",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17285125934525042,
      "no_speech_prob": 1.9680840290803303e-11,
      "compression_ratio": 1.1672240802675586,
      "text_original": "驱动这个OpenCloud的话",
      "correction_applied": true,
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    },
    {
      "start": 219.3,
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      "text": "你没有SG-Lang",
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      "text_original": "你没有SG浪",
      "correction_applied": true,
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    },
    {
      "start": 221.16,
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      "text": "那基本上会慢成傻逼",
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      "compression_ratio": 1.1672240802675586
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    {
      "start": 222.42,
      "end": 225.16,
      "text": "但是现在有了DeepSeek Harness",
      "chunk": 0,
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      "avg_logprob": -0.14592002094655798,
      "no_speech_prob": 1.5735711345055137e-11,
      "compression_ratio": 1.2297297297297298,
      "text_original": "但是现在有了Deep Seek Harness",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 225.16,
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      "text": "一切就不同了",
      "chunk": 0,
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      "avg_logprob": -0.14592002094655798,
      "no_speech_prob": 1.5735711345055137e-11,
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    {
      "start": 226.68,
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      "text": "我们论坛也来了一个新的大神",
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      "no_speech_prob": 1.5735711345055137e-11,
      "compression_ratio": 1.2297297297297298
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    {
      "start": 228.74,
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      "text": "虽然现在还没有等级",
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    {
      "start": 230.26,
      "end": 232.18,
      "text": "叫EXLLM",
      "chunk": 0,
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    },
    {
      "start": 232.18,
      "end": 233.98,
      "text": "这位兄弟的帖子呢",
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    {
      "start": 233.98,
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      "text": "我看一下就是",
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    {
      "start": 234.8,
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      "text": "按照往常来讲的话",
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      "no_speech_prob": 1.5735711345055137e-11,
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    {
      "start": 236.74,
      "end": 239.18,
      "text": "如果说发帖不截图",
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      "avg_logprob": -0.14592002094655798,
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    {
      "start": 239.18,
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      "text": "然后我基本上不可能给他置顶的",
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    {
      "start": 243.4,
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      "text": "而且我也不太看得起这种帖子",
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    {
      "start": 246.52,
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      "text": "但是他的帖子我看了就是",
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    {
      "start": 248.54,
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      "text": "从一开始我就知道不一样",
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    {
      "start": 251.12,
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      "text": "我这人直觉还是比较准",
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      "no_speech_prob": 1.4449826751805617e-11,
      "compression_ratio": 1.1013986013986015,
      "text_original": "我这人诗人还是比较准",
      "correction_applied": true,
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    },
    {
      "start": 254.1,
      "end": 257.16,
      "text": "然后我就想不如试他这个方案",
      "chunk": 0,
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      "avg_logprob": -0.22175436549716526,
      "no_speech_prob": 1.4449826751805617e-11,
      "compression_ratio": 1.1013986013986015,
      "text_original": "然后我就想就不如撤他这个方案",
      "correction_applied": true,
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    },
    {
      "start": 257.16,
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      "text": "我认为可信度是非常高的",
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    {
      "start": 258.92,
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      "text": "他说什么呢",
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    {
      "start": 259.74,
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      "text": "它是Ryzen 5 5600 32G的内存",
      "chunk": 0,
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      "avg_logprob": -0.22175436549716526,
      "no_speech_prob": 1.4449826751805617e-11,
      "compression_ratio": 1.1013986013986015
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    {
      "start": 262.86,
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      "text": "然后7900XTX显卡",
      "chunk": 0,
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      "avg_logprob": -0.22175436549716526,
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      "compression_ratio": 1.1013986013986015,
      "text_original": "然后G900XDX显卡",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 265.26,
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      "text": "系统是Ubuntu 26.04",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.22175436549716526,
      "no_speech_prob": 1.4449826751805617e-11,
      "compression_ratio": 1.1013986013986015,
      "text_original": "系统是Uman2 26.04",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 267.56,
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      "text": "软件是Llama.cpp加上Vulkan",
      "chunk": 0,
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      "no_speech_prob": 1.4449826751805617e-11,
      "compression_ratio": 1.1013986013986015,
      "text_original": "软件是Lambda.CPP加上Valkan",
      "correction_applied": true,
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    {
      "start": 270.36,
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      "text": "就是Vulkan版本的",
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      "text_original": "就是Valkan版本的",
      "correction_applied": true,
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    {
      "start": 271.6,
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      "text": "它能干什么呢",
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    {
      "start": 273.96,
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      "text": "能开发一些小游戏",
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    {
      "start": 275.0,
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      "text": "能驱动这个Deepseek Harness",
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    {
      "start": 278.02,
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      "text": "并且能改几万行代码的",
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    {
      "start": 281.22,
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      "text": "这个C++项目",
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    {
      "start": 282.4,
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      "text": "这个就有点牛逼了",
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    {
      "start": 284.58,
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      "text": "平均50T/s每秒",
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      "no_speech_prob": 1.2662049360401273e-11,
      "compression_ratio": 1.2296296296296296,
      "text_original": "平均50RTX每秒",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 287.16,
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      "text": "缓存命中98%",
      "chunk": 0,
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      "avg_logprob": -0.2210363680428832,
      "no_speech_prob": 1.2662049360401273e-11,
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    {
      "start": 289.56,
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      "text": "参数也给的非常的明确",
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    {
      "start": 293.32,
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      "text": "用了什么模型也写了",
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    {
      "start": 295.26,
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      "text": "这个效果抛起来是非常的夸张的",
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    {
      "start": 297.88,
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      "text": "但是我就不太清楚",
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    {
      "start": 298.96,
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      "text": "就是说这个速度怎么样",
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    {
      "start": 301.32,
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      "text": "他就给我举了这个",
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    {
      "start": 303.42,
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      "text": "能启动的例子",
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    {
      "start": 304.16,
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      "text": "我看了一下这样子就已经跟",
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    {
      "start": 306.02,
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      "text": "我喜欢的SG-Lang达到了一个水平",
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      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
      "compression_ratio": 1.1524822695035462,
      "text_original": "我喜欢的SG达达到了一个水平",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 310.8,
      "end": 313.44,
      "text": "如果说DeepSeek Harness加上Llama.cpp",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
      "compression_ratio": 1.1524822695035462,
      "text_original": "如果说DeepSickHonis加上LamadeCPP",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 313.44,
      "end": 315.3,
      "text": "能够达到如此好的效果",
      "chunk": 0,
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      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
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    {
      "start": 315.3,
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      "text": "那我在本地部署模型的时候",
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    {
      "start": 318.14,
      "end": 321.72,
      "text": "就完全没有必要去浪费我这张4090 24G了",
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      "no_speech_prob": 1.2662372886329543e-11,
      "compression_ratio": 1.1524822695035462,
      "text_original": "就完全没有必要去浪费我这张4090第48G了",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
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    {
      "start": 321.72,
      "end": 325.08,
      "text": "而且你看它是给了128K上下文的",
      "chunk": 0,
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      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
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    {
      "start": 325.08,
      "end": 327.88,
      "text": "这个128K上下文是能够干大事的",
      "chunk": 0,
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      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
      "compression_ratio": 1.1524822695035462
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    {
      "start": 327.88,
      "end": 330.92,
      "text": "因为千万3.8 27B",
      "chunk": 0,
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      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
      "compression_ratio": 1.1524822695035462,
      "text_original": "因为千万3.827B",
      "correction_applied": true,
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    },
    {
      "start": 330.92,
      "end": 333.92,
      "text": "你就算是给它配256K上下文",
      "chunk": 0,
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      "avg_logprob": -0.19989212821511662,
      "no_speech_prob": 1.2662372886329543e-11,
      "compression_ratio": 1.1524822695035462
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    {
      "start": 333.92,
      "end": 335.98,
      "text": "它达到150K之后",
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    {
      "start": 335.98,
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      "text": "到200K的样子",
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      "avg_logprob": -0.18147630949278135,
      "no_speech_prob": 1.5272283437894885e-11,
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    {
      "start": 336.84,
      "end": 338.06,
      "text": "它也会变成智障",
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      "avg_logprob": -0.18147630949278135,
      "no_speech_prob": 1.5272283437894885e-11,
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    {
      "start": 338.06,
      "end": 341.08,
      "text": "它的召回准确率是不够的",
      "chunk": 0,
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      "avg_logprob": -0.18147630949278135,
      "no_speech_prob": 1.5272283437894885e-11,
      "compression_ratio": 1.1524163568773234,
      "text_original": "它的召回准区率是不够的",
      "correction_applied": true,
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    },
    {
      "start": 341.08,
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      "text": "所以如果说",
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    },
    {
      "start": 343.32,
      "end": 346.56,
      "text": "这个24G的7900XTX",
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      "no_speech_prob": 1.5272283437894885e-11,
      "compression_ratio": 1.1524163568773234,
      "text_original": "这个24G的7900XDX",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 346.56,
      "end": 348.4,
      "text": "能够驱动Q5版本的",
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    {
      "start": 348.4,
      "end": 350.02,
      "text": "Q5量化版本的",
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      "avg_logprob": -0.18147630949278135,
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    {
      "start": 350.02,
      "end": 353.42,
      "text": "这个Qwen3.8 27B",
      "chunk": 0,
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      "avg_logprob": -0.18147630949278135,
      "no_speech_prob": 1.5272283437894885e-11,
      "compression_ratio": 1.1524163568773234,
      "text_original": "这个轻微3.8 27比",
      "correction_applied": true,
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    },
    {
      "start": 353.42,
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      "text": "我认为是非常好的",
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    {
      "start": 354.62,
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      "text": "那我就照抄了",
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    {
      "start": 356.54,
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      "text": "经过我的详细测试",
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    },
    {
      "start": 358.26,
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      "text": "我就直接给大家汇报",
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    },
    {
      "start": 359.24,
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      "text": "今天我们完全不废话",
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    {
      "start": 361.1,
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      "text": "就是",
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    {
      "start": 362.52,
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      "text": "完全可以用",
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      "compression_ratio": 1.1637630662020906
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    {
      "start": 364.68,
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      "text": "比如说",
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    },
    {
      "start": 366.88,
      "end": 367.64,
      "text": "查查天气",
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      "compression_ratio": 1.1637630662020906
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    {
      "start": 367.64,
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      "text": "聊聊什么代码",
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    },
    {
      "start": 369.92,
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      "text": "这些我这样跟你讲",
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    },
    {
      "start": 371.68,
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      "text": "DeepSeek Harness比Hermes",
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      "compression_ratio": 1.1637630662020906,
      "text_original": "DeepSickHannis比Hermis",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "start": 373.88,
      "end": 375.76,
      "text": "比OpenCloud牛逼的地方就在于",
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    },
    {
      "start": 375.76,
      "end": 377.1,
      "text": "你平时聊天的时候",
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    },
    {
      "start": 377.1,
      "end": 379.96,
      "text": "它的响应速度是非常快的",
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    },
    {
      "start": 379.96,
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      "text": "它不会给你想半天",
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    },
    {
      "start": 380.96,
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      "text": "然后如果是执行什么长链任务",
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      "compression_ratio": 1.1637630662020906,
      "text_original": "然后如果是执行什么常年任务",
      "correction_applied": true,
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    {
      "start": 384.22,
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      "text": "其实也是不错的",
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    {
      "start": 385.76,
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      "text": "你看看",
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    },
    {
      "start": 386.16,
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      "text": "16轮53步的聊天",
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    {
      "start": 388.24,
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      "text": "它的平均是5秒",
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      "compression_ratio": 1.1637630662020906,
      "text_original": "它的手特更平均是5秒",
      "correction_applied": true,
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    },
    {
      "start": 390.68,
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      "text": "46TK每秒",
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    {
      "start": 393.22,
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      "text": "緩存命中率96%",
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      "compression_ratio": 1.223021582733813,
      "text_original": "换存命中率96%",
      "correction_applied": true,
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    },
    {
      "start": 394.72,
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      "text": "因为我刚刚聊的话题是比较杂的",
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    {
      "start": 396.5,
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      "text": "有这个哲学",
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    {
      "start": 397.42,
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      "text": "有历史",
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    {
      "start": 398.22,
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      "text": "什么都有",
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    {
      "start": 398.68,
      "end": 399.94,
      "text": "有这个服务器的配置",
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    {
      "start": 399.94,
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      "text": "都有",
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    {
      "start": 402.68,
      "end": 407.32,
      "text": "还包括让他去网络上搜索东西",
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      "no_speech_prob": 1.5574730741207965e-11,
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    {
      "start": 407.32,
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      "text": "那么回到我们以前的这个老三样来",
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    {
      "start": 410.52,
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      "text": "就是我也对他进行了一些测试",
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    {
      "start": 412.3,
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      "text": "就我让他生成一个网页",
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    {
      "start": 414.26,
      "end": 415.54,
      "text": "展示中国的传统八卦",
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    {
      "start": 415.54,
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      "text": "然后生成一个SVG",
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    {
      "start": 417.74,
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      "text": "表达这个什么",
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    {
      "start": 419.94,
      "end": 422.48,
      "text": "薛定谔的猫想實驗阿基米德原理",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.17809915895815248,
      "no_speech_prob": 1.2514834654697715e-11,
      "compression_ratio": 1.2771535580524345,
      "text_original": "薛定厄德茂斯想实验阿基米的原理",
      "correction_applied": true,
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    {
      "start": 422.48,
      "end": 424.58,
      "text": "還有土星環的運行原理",
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      "text_original": "还有土机中原队的运行原理",
      "correction_applied": true,
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    {
      "start": 424.58,
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      "text": "我看一下",
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    {
      "start": 426.34,
      "end": 432.64,
      "text": "这是他做的第一版八卦图",
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      "avg_logprob": -0.17809915895815248,
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    {
      "start": 432.64,
      "end": 435.18,
      "text": "由于我是把推理给关了",
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    {
      "start": 435.18,
      "end": 436.2,
      "text": "否则他容易卡死",
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    {
      "start": 436.2,
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      "text": "而且非常的慢",
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    {
      "start": 436.92,
      "end": 438.74,
      "text": "但是关了之后",
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    {
      "start": 438.74,
      "end": 441.0,
      "text": "我感觉他的编程智力是有所下降的",
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    {
      "start": 441.0,
      "end": 443.1,
      "text": "不过这个怎么说呢",
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    {
      "start": 443.1,
      "end": 444.84,
      "text": "给70分嘛",
      "chunk": 0,
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      "avg_logprob": -0.17809915895815248,
      "no_speech_prob": 1.2514834654697715e-11,
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    {
      "start": 444.84,
      "end": 447.04,
      "text": "我就跟他讲说这样不好",
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    {
      "start": 447.04,
      "end": 448.68,
      "text": "能不能给我改进一下",
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      "start": 448.68,
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      "text": "就改进出了这么个玩意",
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      "start": 451.12,
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      "text": "聊甚於無",
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      "start": 455.04,
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      "text": "我还是不满意",
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      "start": 456.14,
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      "text": "又让他给我改进一半",
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      "start": 457.18,
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      "text": "看来这个就是他上线了",
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      "start": 459.8,
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      "text": "并且他这个",
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      "start": 462.32,
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      "text": "挂位我感觉还是没搞对",
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      "start": 464.72,
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      "text": "這個就是清文家族一直的bug",
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      "text_original": "这个就是清文家族一直的bug",
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      "start": 466.42,
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      "text": "他始終沒有辦法",
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      "text_original": "他始终没有办法",
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      "start": 468.52,
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      "text": "把这个挂项的位置给搞对",
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      "start": 469.84,
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      "text": "但是这个程序我认为",
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      "start": 472.12,
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      "text": "审美是比DPC个家族要好多了",
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    {
      "start": 474.48,
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      "text": "这个网页我给80分",
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      "text": "下面就是图记中英的运行原理",
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      "text": "这一块它可以说是吊打DeepSeek",
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      "text": "V4 Flux或者是Pro",
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      "text": "第一它画的非常的详细",
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      "text": "然后原理也非常的清晰",
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      "text": "并且分段都有",
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      "text": "非常的好",
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      "text": "我不是说了吗",
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      "text": "我其实比较喜欢DeepSeekV4 Pro那种",
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      "text": "就是离画原理图",
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      "text": "就没有必要画的这么详细",
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      "text": "这个一般人可能对于",
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      "start": 519.998,
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    {
      "start": 523.298,
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      "text": "一般人看到这么多元素可能会懵逼",
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      "start": 526.278,
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      "text": "这个我给90分",
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      "start": 529.098,
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      "text": "然后生成一个SVG表达",
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      "text": "薛顶尔德茂斯想实验",
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      "text": "这一块我认为他画的也比那个什么",
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      "text": "DeepSick V4 Pro要好一点",
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      "text": "第一没有自己的DiA准确的把握了",
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      "text": "这个实验的原理",
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      "start": 548.098,
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      "text": "两种状态",
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      "start": 549.618,
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      "text": "迭加碳",
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      "text": "改革技术器这些都有了",
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      "text": "这个我给80分",
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      "text": "主要是因为没有画得非常的有逼格",
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      "start": 561.338,
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      "text": "那么下一个就是阿基米的原理",
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      "start": 565.458,
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      "text": "不提这个我才想起来",
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      "text": "前天DeepSigVisPro生成那个是错误的",
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      "start": 572.898,
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      "text": "他讲的是福利",
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      "start": 583.338,
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      "text": "威斯普罗好像把它搞成了什么",
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      "start": 586.218,
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      "text": "杠杆原理",
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      "text": "这一块他还是胜过威斯普罗的",
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    {
      "start": 593.478,
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      "text": "就说即便他是关了推理的情况下",
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      "start": 596.518,
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      "text": "在单轮编程中",
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      "text": "轻微27比的编程能力是非常强悍的",
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      "text": "这一点是必须要承认的",
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      "text": "他完全不输给Deepseek",
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      "text": "VS Flux或者Pro",
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      "text": "但是你也知道",
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      "text": "我们不能光看单轮",
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      "text": "我们得看长线",
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      "text": "大家知道我用",
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    {
      "start": 615.678,
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      "text": "Chrome浏览器",
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    {
      "start": 618.458,
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      "text": "来访问Deepseek",
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      "start": 619.558,
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      "text": "Hannis",
      "chunk": 1,
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    {
      "start": 620.218,
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      "text": "他老是提醒证书有问题",
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      "start": 622.678,
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      "text": "不安全",
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    {
      "start": 623.278,
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      "text": "有的时候他谈框是谈不出来的",
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      "text": "是有bug的",
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      "start": 626.078,
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      "text": "我就必须把这个绘画给终止掉",
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      "start": 627.538,
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      "text": "在这种情况下",
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      "start": 630.158,
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      "text": "我们就要进行一些",
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      "text": "长线任务了",
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      "text": "对了",
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      "text": "刚才我们说长线任务",
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      "text": "就是它的",
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    {
      "start": 638.578,
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      "text": "一共进行了14轮90步迭代",
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      "text": "然后手token平均2.6秒",
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      "text": "缓存命路率99%",
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      "text": "就是在编程这一块",
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      "text": "它的缓存命路率",
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      "start": 649.718,
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      "text": "可以变得非常的高",
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      "text": "如果你聊天聊得比较杂的话",
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      "text": "那么你的缓存命路率就不高",
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      "text": "还有就是",
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      "text": "它现在那么2.cpp有一个问题",
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      "text": "就是如果说你用时间长了",
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      "text": "它会变得比较卡",
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      "text": "就后面的平均特格子是不如前面的",
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      "text": "不过我已经跑了好几个小时了",
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      "text": "我感觉有这样的表现",
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    {
      "start": 669.118,
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      "text": "能够跟SG浪较较版是没有问题的",
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    {
      "start": 672.118,
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      "text": "最起码你可以通过一个什么脚本",
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    {
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      "text": "来让它隔一段时间去把这个显存给清理一下",
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      "text": "说不定效果会好一点",
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      "text": "就是如果你要多开的话",
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      "text": "可能必须需要上VLLM或者SG浪",
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      "text": "但是他们就没有NAMD.CPP这么轻量了",
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      "text": "我认为不值得",
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      "text": "我要去修正这个问题怎么办呢",
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      "text": "我就要自己开发一个",
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      "start": 698.178,
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      "text": "把它关掉",
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      "text": "这个事情就是让",
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      "text": "千万27B自己开发的",
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      "text": "你看",
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      "text": "145步",
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      "text": "花了31分钟时间",
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      "text": "平均手托坑是4.8秒",
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      "text": "tokens是46tokens每秒",
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      "text": "管存命中率99%",
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      "text": "它做出一个什么东西来呢",
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      "text": "它就可以跳过",
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      "text": "https证书的检查",
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    {
      "start": 736.658,
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      "text": "直接给我再入到我指定的地址",
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      "text": "这地址是可以改的",
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      "text": "然后呢",
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      "text": "我就可以直接跟它聊天",
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      "text": "后面我会把我跟他聊天的一些片段",
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    {
      "start": 749.638,
      "end": 750.678,
      "text": "发给大家看一下",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1756403496924867,
      "no_speech_prob": 1.497639685876795e-11,
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    {
      "start": 750.678,
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      "text": "就是你如果说纯粹的聊天的话",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1756403496924867,
      "no_speech_prob": 1.497639685876795e-11,
      "compression_ratio": 1.3519163763066202
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    {
      "start": 752.998,
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      "text": "它比起其他的框架",
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    {
      "start": 754.218,
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      "text": "真的是好太多了",
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      "avg_logprob": -0.1756403496924867,
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    {
      "start": 756.178,
      "end": 758.178,
      "text": "你其他的agent跟他的效率完全不能比",
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      "avg_logprob": -0.1756403496924867,
      "no_speech_prob": 1.497639685876795e-11,
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    {
      "start": 758.178,
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      "text": "它就是相当于你一个大模型直接聊天",
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      "no_speech_prob": 1.497639685876795e-11,
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    {
      "start": 760.718,
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      "text": "就大模型是怎么延迟",
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    {
      "start": 762.638,
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      "text": "它就是怎么延迟",
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    {
      "start": 763.518,
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      "text": "所以说DeepSeek Harness在这一块真的是一个极品",
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      "no_speech_prob": 1.497639685876795e-11,
      "compression_ratio": 1.3519163763066202,
      "text_original": "所以说DeepSickHannis在这一块真的是一个极品",
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    {
      "start": 767.238,
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      "text": "是一个非常牛逼的工具",
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      "start": 769.458,
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      "text": "要知道",
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    {
      "start": 773.158,
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      "text": "这还是RC版本",
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    {
      "start": 775.538,
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      "text": "它不是正式版",
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      "start": 776.678,
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      "text": "它甚至都不是β版本",
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      "start": 779.518,
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      "text": "我觉得它未来的前途",
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      "text": "不可限量",
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      "start": 783.618,
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      "text": "最起码说",
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      "start": 785.318,
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      "text": "7900XTX这张显卡",
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      "text_original": "T9000XDX这张显卡",
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      "start": 786.778,
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      "text": "因为它的存在",
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      "start": 788.218,
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      "text": "而大大升值了",
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      "start": 790.178,
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      "text": "就是它能够驱动",
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      "text": "Qwen3.8 27B",
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      "text_original": "轻吻3.8 27B",
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      "start": 795.038,
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      "text": "这么一个重磅的模型",
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      "start": 796.378,
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      "text": "然后以一个非常不错的",
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      "start": 798.158,
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      "text": "输出速度",
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      "start": 799.678,
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      "text": "能够执行这种",
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      "start": 800.998,
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      "text": "不能说叫",
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    {
      "start": 803.638,
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      "text": "太大的这个编程任务",
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      "compression_ratio": 1.420863309352518,
      "text_original": "太大的这个变成任务",
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      "start": 806.018,
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      "text": "但是起码它也是长链的",
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      "text_original": "但是起码它也是常念的",
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      "start": 807.418,
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      "text": "多轮迭代的编程任务",
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      "text_original": "多轮迭代的变成任务",
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      "text": "我认为有这样的能力就够了",
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      "start": 810.538,
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      "text": "因为我们再复杂的项目",
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      "text": "我们可以开发一个模块",
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      "text": "开发一个框架",
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      "text": "然后把它设计好之后",
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    {
      "start": 815.918,
      "end": 818.238,
      "text": "上传到这个Git服务器",
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      "text": "然后我们一个模块",
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      "text": "一个模块来开发",
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      "start": 821.458,
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      "text": "你规划好的话",
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    {
      "start": 823.298,
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      "text": "它千万3.827B",
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      "start": 825.138,
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      "text": "目前的能力是完全够的",
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      "start": 826.698,
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      "text": "这个东西讲实话",
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    {
      "start": 829.418,
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      "text": "7900XTX我当时买的时候是6000出头",
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      "text": "已经很久了",
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      "text": "它现在可能只需要5000块钱",
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      "start": 835.258,
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      "text": "兄弟们5000块钱",
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      "text": "能够用",
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    {
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      "text": "Q5K版本的",
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      "text": "请问",
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      "text": "3.8 27B",
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    {
      "start": 845.078,
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      "text": "你还叫什么自行车",
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      "text": "能玩agent",
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    {
      "start": 850.138,
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      "text": "能跟大模型聊天",
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    {
      "start": 852.118,
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      "text": "并且他还给你配备了",
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    {
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      "text": "搜索工具",
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      "start": 855.398,
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      "text": "兄弟们",
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    {
      "start": 857.798,
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      "text": "这个性价比还不是拿满了",
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      "start": 860.858,
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      "text": "还考虑什么",
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      "start": 861.938,
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      "text": "抓紧造起来吧",
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    {
      "start": 864.198,
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      "text": "Deepseek涨价是Deepseek的事",
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      "text": "我后面把这个片段放上来",
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      "text": "請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字。請保持中文字",
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      "text": "北京市暴雨预警 雷雨预警",
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