{
  "text": "昨天我简单测试一下GPT6\n就被很多人批评\n说你不是有这个订阅吗\n你怎么不用订阅呢\n你用IPI当然贵了\n我首先必须声明啊\n我的这个订阅是plus\n就是\n它是20美金一个月的\n它没多少额度知道吗\n如果说你用到这个pro\n可能说额度会多一点\n但是pro就比较贵了\n我觉得不划算啊\n我订阅这个plus主要是用来画图的\n就在网页版画图\n我希望我的这个额度要稍微多一点\n因为我经营着好几个油管频道\n那么这些频道都需要生成\n他们的这个封面图\n有的时候我也\n在我的这个英语频道\n需要用它给我生成一些插图\n来帮助我讲解\n所以说我一般是不会用这个额度的\n然后我昨天不是展示了吗\n我用这个5.6Tera是吧\n这是个中等配置的模型\n中等档次的模型\n王上大来给我配置这个什么GPT6\nAstra的这个\n接口 如果说我的提供商是这个Openroot.ai\n它是可以搞定的 但是它花了4分钟5秒\n就有很多人有留言说了\n你就用这个GPT 5.6 Lula就行了\n把这个什么思考模式开高\n开高它就变聪明了\n我在这个视频中说某种观点\n肯定这种观点我自己实践过\n我不是键盘牙\n就是那些可能自己从来没有做过这种任务的\n就知道在这个评论区BB\n他们可能自己也没有订阅GPT\n也没有用过这个GPT5.6\nLULA\n他们就说这个模型好用\n那今天我就给你们展示一下\n它到底好不好用\n看到没有GPT5.6 Rola给它开到高\n让它配置什么呢\n配置它官方原版的这个GPT6的这个API\n因为官方已经推送了\n由于我这个模型的root是我自己定义的\n他可能说没有识别\n我就让他把它加进来\n它消耗了我1%的额度\n这个确实是便宜了\n额度消耗降低了\n但是它每次告诉我的\n其实都是假的\n都根本就不能用\n甚至最后一次他直接把这个配置给干崩了\n我进来之后这个配置直接打不开了\n无法使用了\n要知道我之前配置这些东西\n我都是用的什么\nDeepseek with Flush\n从来没有出过问题\n就\n你说这个模型怎么对比吗对不对\n你说这个NURA怎么能跟Deepstick威斯夫拉奇对比\n你们到底有没有用过Deepstick威斯夫拉奇\n然后呢它出错之后我不想折腾呢\n因为我这个kodex直接崩了\n我就到这个什么dip-seek harness里面来\n让dip-seek harness给我解决\n人家很快也帮我搞定了\n不仅帮我搞定了\n还把我以前的一些配置预法的错误\n全部给它修复了\n那现在再打开\n里面是不是什么都有了\n官方的GPT的接口\n是吧 这些所有的模型都在里面\n所以说我希望大家在留言的时候\n就是你如果没用过\n你不要装逼\n因为说实话\n我特别烦这种人\n就是自己没有经过实测\n在那裡假裝自己訂閱了GPT\n假裝自己使用了什麼GPT 5.6 Lula\n然后他们发表到那些非常low的言论\n说实话我有的时候都不想回他们\n但是他们又不断的出现\n不断的骚扰我\n就我在视频中说GPT5.6LULA\n是智障\n这个是我自己的使用感受\n你可以不同意\n是吧\n但是我相信配置它自己\n配置它这个脚本\n这是再傻逼不过的\n这个工作了 他就是搞不定\n不仅搞不定\n像他妈装模这样的去骗我\n这是不是严重浪费我的时间\n我至于为了这个每个月一百多块钱\n每个月二十美金的这个额度\n我一定要把它消耗掉吗\n我至于吗\n我至于用它的干活吗\n蠢的跟猪一样\n那你说用这个Tera行不行\nTera行啊\n我昨天的视频中不是讲了吗\n就这么一个配置脚本修改\n就干掉了我6%的额度\n我能用它干活吗\n我一个工作一半还没做\n三分之一还没做\n额度就消化完毕了\n我怎么用它\n我给大家讲的\n都是非常主观的\n我个人的使用感受\n但是这种感受我都是我自己实践的\n我并没有装逼\n现在我们看到就是昨天\n死掉的那个APP开发是吧\n我们记下现在我的这个额度消耗\n是99%是吧\n现在把它切到这个什么\nGPT5.6 阿斯加上来\n让我重新开一个可能会更好\n但是我不想重开\n因为我昨天使用的是Openroot上的GPT6 ASTRA\n这个应该没有什么区别\n而且我使用Deepseek跟这个千吻本地模型开发的时候\n我都是热切的\n热切是最能体现出一个模型的性价比\n最能体验它的能力的\n是吧我在他两个不同的入口\n同样的模型之间这些我相信怎么说的正常的操作\n那么现在让他继续开发\n就看看他到底能不能把这个工作完成\n看这个额度够不够大\n就如果说大家对我的测试方式\n有怀疑\n是吧\n你们可以在论坛发帖\n展现出你们更加科学的测试方式\n我本人就是维护一个网站\n维护一个这个APP\n是吧\n我现在在开发这个APP\n暂时我还没决定封出来给大家用\n但是基本上的功能都已经开发完毕了\n这个功能就是用DeepSickVS Flush\n用这个千万3.827比本定模型来开发的\n是吧\n关于这两个模型之间的体验差距\n我在过去的\n视频中都多次讲到了\n这个什么open root上的机口帮他完成了理解\n今天讓他這個自己去\n把昨天的这个上下文总结一下\n推进开发\n看看他能不能把这个任务完成\n现在已经处理了一分钟四秒\n关于我之前啊\n使用Deepseek 威斯福拉奇或者轻微3.820GB\n科发时候的体验大家可以看我以往的视频\n那些视频里这里面执行一个步骤\n花了多长时间都有记录的\n就最慢的\n像我喷的比较厉害的轻微3.8Flush\n跟这个什么\n轻微3.820Gbps本地模型\n我都有展示\n比如说我展示这个青纹三点\n这个20Gb本地模型\n我同时给了他六个任务\n我没有像这样\n我给他六个任务都是比这个复杂的\nbug都是比这个要严重的多的\n我同时给他六个任务\n在过往的视频中你们可以翻看\n他是花了20分钟给他搞定了\n我们看看这一个任务他有花多久\n就这是我能找到的所有bug中\n最小的一个\n就是说我希望\n引用的时候能把这个格式稍微美化一下\n然后把这个光标停到下一行\n这个就是我的诉求\n首先我别的不说在执行实践上面\n它肯定是已经落伍了\n它三分钟之内是没有办法把这个问题给解决掉的\n它還要推送 是吧 推送到我的這個什麼母理器上\n來讓我印證\n就我用最慢的\n我都不要说跟这个什么Deep Seek\nVS Flush来比了\n我就是跟本地最慢的千尾3.8 27B\n这个本地模型\n我用S接浪驱动的\n速度都比它快\n对了我必须说\n昨天这个前面他有一大段理解\n花了这个九美金\n这个是昨天的\nOpen注册上面呢\n我們看一下額度吧\n这个额度消耗还是可以接受的啊\n它只消耗了15%左右\n这个还是能够接受的\n比昨天好多了\n昨天有可能这个什么\n它是一个新的绘画\n就它要理解整个项目\n他一下子注入了超长的上下文\n直接把我的这个额度干爆了\n还有可能就是他这个师徒\n本身很贵\n他不像deep secret的师徒\ndeep secret的师徒就是个白菜价\n就是你可以把它当做玩具随便去玩\n好像是什么九张图片一分前\n用威斯夫拉奇的尸图摸指\n啊,消耗了18%\n希望他能够完成这个任务吧\nso\nI'm going to put it in the middle of the bag.\n我必须要说一下\n有的人会说\n哪个哪个主播在什么视频中展示\n一句话让他开发个什么小游戏之类的\n我说实话\n那种开发的难度是很低的\n就是你们让DeepSigV4 Pro\n让什么VSFLAG去做这样的开发也能做\n可能说效果没有这个什么GPT6那么好\n但是你不要看这个论坛APP\n只是什么简单的这种内容显示\n它的开发难度是比那个什么\n比一个简单的小游戏要难得多的\n我们看一看有没有实现刚才我的要求\n好 这个完成得非常好\nI'm going to put the lid on the side.\n哎这个我必须说\n他这个任务执行的这个准确度是很高的啊\n这个必须要承认\n就说他起码跟DeepSickVisPro相比\n它是处于一个水平\n但是我们也知道这个价格嘛\n是不是\n你们看到这一个小任务\n在之前已经消耗了\n我九美金额度的情况下\n它完成这个小的改动\n第一它时间上面\n比我这个本地的\n轻轻3.820Gbps还要慢\n第二就是他消耗的这个什么\n额度用量\n就干掉了我20%\n一周用量干掉了4%\n怎么讲呢\n我只能说\n比我昨天想象的情况要好一点\n如果说用这个什么订阅计划的话\n它肯定是比调用API要划算的多\n我必须要给它平坦\n就是它没有昨天想象的那么贵\n因为昨天我是用API的方式调用的\n但是我相信大家通过这个简单的任务对比\n你们可以去翻看我以往\n用这个VSFLAG或者用这个本地\n勤劳测试的那些视频\n你们去验证一下\n是不是啊\n我还特别强调过\n我同时给六个任务\n它二十分钟就完成了\n我现在都不敢同时给六个任务给他\n同时给六个任务\n我这个额度就直接被干完了\n我画图就不用画了\n就关于很多人说的\n说什么威斯福拉西\n或者说是什么本地的亲吻\n3.827匹很蠢啊\n怎么怎么样啊\n对此我只能呵呵一笑\n就他能实现的功能\n我都是批量给这个本地的模型或者给威斯福拉奇的\n有人家也能完成\n你可能说效果并不一定\n就像它这样一字到位\n尤其是轻微3.820Gb\n我这个是必须要承认的\n就他现在这个回复的这个效果\n这个效果是威斯福拉西做的\n就引用啊\n引用这个效果\n是威斯福拉西做的\n包括这个什么\n马克当格式的解析\n全部是威斯福拉西做的\n因为我用这个轻微3.827比的时候\n它有的时候\n这个什么解析会有错误会有错漏\n尤其是表格什么东西的\n你看\n威斯福拉奇最能把它做得很好\n解析的这些表情都是对的\n然后轻微3.8它有的时候会有一些小的瑕疵\n虽然它做出来的UI\n很多时候比这个威斯福拉奇要更漂亮\n但是它在这个什么\n对于你这个功能\n这个判断上对于你这个指令执行的\n这个准确性上它是不如威斯福拉奇的\n威斯福拉奇就比威斯Pro要差一个档次\n这个刚才由于我给他只是一个简单的任务\n但是我必须说他的执行成功率是很高的\n因为昨天我不是给大家展示了\n他用来写了个什么八卦网页\n什么图记中原堆这个SVG\n包括薛定谣的猫思想实验SVG是吧\n他都是一次性搞定\n都没有什么硬性的bug\n虽然他的审美讲实话也就那样\n但是不得不说这个模型的基础能力是很强的\n然后再加上网络上有大部分人\n使用他来测试什么本地电脑软件的操作是吧\n这个其实就是另一个话题了\n我想在新的视频中跟大家来分享\n我对这件事的看法\n那么这个模型是头部模型是肯定的\n但是你说它强到天上去\n这个就真的有点扯淡了\n你跟普罗大众\n跟这些普通的大模型执行的任务是差不多的\n你是比较优秀\n但是你绝对算不上脸压式的\n这个领先\n最起码对于我们这些普通程序员来说\n我很难理解那些说什么用Deepseek,威斯福拉奇\n用这个什么千万27B开发不了的人\n我不懂他们在开发什么项目\n如果大家有什么不同意见\n可以到这个论坛发帖交流讨论\n好的本期视频就到这里\n我们下期再见",
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  "duration": 884.72675,
  "segments": [
    {
      "start": 0.0,
      "end": 2.0,
      "text": "昨天我简单测试一下GPT6",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 0,
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    },
    {
      "start": 2.0,
      "end": 3.0,
      "text": "就被很多人批评",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 3.0,
      "end": 5.0,
      "text": "说你不是有这个订阅吗",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 5.0,
      "end": 6.0,
      "text": "你怎么不用订阅呢",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 6.0,
      "end": 7.0,
      "text": "你用IPI当然贵了",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 7.0,
      "end": 9.0,
      "text": "我首先必须声明啊",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 9.0,
      "end": 11.0,
      "text": "我的这个订阅是plus",
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      "start": 11.0,
      "end": 12.0,
      "text": "就是",
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      "start": 12.0,
      "end": 14.0,
      "text": "它是20美金一个月的",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 14.0,
      "end": 15.0,
      "text": "它没多少额度知道吗",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 15.0,
      "end": 18.0,
      "text": "如果说你用到这个pro",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 18.0,
      "end": 19.0,
      "text": "可能说额度会多一点",
      "language": "zh",
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    {
      "start": 19.0,
      "end": 20.0,
      "text": "但是pro就比较贵了",
      "language": "zh",
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      "local_language_run": 0,
      "language_run": 0
    },
    {
      "start": 20.0,
      "end": 21.0,
      "text": "我觉得不划算啊",
      "language": "zh",
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    {
      "start": 21.0,
      "end": 24.0,
      "text": "我订阅这个plus主要是用来画图的",
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      "local_language_run": 0,
      "language_run": 0
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    {
      "start": 24.0,
      "end": 25.0,
      "text": "就在网页版画图",
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      "start": 25.0,
      "end": 28.0,
      "text": "我希望我的这个额度要稍微多一点",
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      "end": 30.08,
      "text": "因为我经营着好几个油管频道",
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      "end": 32.7,
      "text": "那么这些频道都需要生成",
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      "start": 32.7,
      "end": 34.74,
      "text": "他们的这个封面图",
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      "text": "有的时候我也",
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      "text": "在我的这个英语频道",
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      "start": 37.76,
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      "text": "需要用它给我生成一些插图",
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      "text": "来帮助我讲解",
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      "start": 42.846,
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      "text": "所以说我一般是不会用这个额度的",
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      "start": 45.256,
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      "text": "然后我昨天不是展示了吗",
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      "start": 47.136,
      "end": 48.576,
      "text": "我用这个5.6Tera是吧",
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      "start": 48.576,
      "end": 49.756,
      "text": "这是个中等配置的模型",
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      "start": 49.756,
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      "text": "中等档次的模型",
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      "start": 53.096,
      "end": 55.106,
      "text": "王上大来给我配置这个什么GPT6",
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      "text": "Astra的这个",
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      "text": "接口 如果说我的提供商是这个Openroot.ai",
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      "start": 60.606,
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      "text": "它是可以搞定的 但是它花了4分钟5秒",
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      "text": "就有很多人有留言说了",
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      "text": "你就用这个GPT 5.6 Lula就行了",
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      "language_run": 2
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      "text": "把这个什么思考模式开高",
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      "text": "开高它就变聪明了",
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      "chunk": 0,
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      "text": "我在这个视频中说某种观点",
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      "text": "肯定这种观点我自己实践过",
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      "text": "我不是键盘牙",
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      "text": "就是那些可能自己从来没有做过这种任务的",
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      "text": "就知道在这个评论区BB",
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      "end": 86.231,
      "text": "他们可能自己也没有订阅GPT",
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      "text": "也没有用过这个GPT5.6",
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      "start": 88.331,
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      "text": "LULA",
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      "text": "他们就说这个模型好用",
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      "start": 90.911,
      "end": 93.251,
      "text": "那今天我就给你们展示一下",
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    {
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      "text": "它到底好不好用",
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      "text": "看到没有GPT5.6 Rola给它开到高",
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      "text": "让它配置什么呢",
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      "text": "配置它官方原版的这个GPT6的这个API",
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      "text": "因为官方已经推送了",
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      "text": "由于我这个模型的root是我自己定义的",
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      "start": 108.58,
      "end": 109.98,
      "text": "他可能说没有识别",
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      "text": "我就让他把它加进来",
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      "start": 113.85,
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      "text": "它消耗了我1%的额度",
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      "start": 115.28,
      "end": 117.12,
      "text": "这个确实是便宜了",
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      "chunk": 0,
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      "language_run": 3
    },
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      "start": 117.12,
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      "text": "额度消耗降低了",
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      "start": 118.6,
      "end": 121.42,
      "text": "但是它每次告诉我的",
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    },
    {
      "start": 121.42,
      "end": 122.22,
      "text": "其实都是假的",
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      "start": 122.22,
      "end": 122.96,
      "text": "都根本就不能用",
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    },
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      "text": "甚至最后一次他直接把这个配置给干崩了",
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    },
    {
      "start": 128.646,
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      "text": "我进来之后这个配置直接打不开了",
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    },
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      "start": 131.206,
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      "text": "无法使用了",
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    },
    {
      "start": 134.811,
      "end": 136.421,
      "text": "要知道我之前配置这些东西",
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    },
    {
      "start": 136.421,
      "end": 137.601,
      "text": "我都是用的什么",
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      "language_run": 4
    },
    {
      "start": 137.601,
      "end": 139.061,
      "text": "Deepseek with Flush",
      "language": "zh",
      "chunk": 0,
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      "language_run": 4
    },
    {
      "start": 139.061,
      "end": 140.948,
      "text": "从来没有出过问题",
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      "text": "就",
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      "language_run": 5
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      "text": "你说这个模型怎么对比吗对不对",
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      "language_run": 5
    },
    {
      "start": 146.974,
      "end": 149.534,
      "text": "你说这个NURA怎么能跟Deepstick威斯夫拉奇对比",
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      "chunk": 0,
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      "language_run": 5
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      "start": 149.534,
      "end": 151.399,
      "text": "你们到底有没有用过Deepstick威斯夫拉奇",
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      "language_run": 5
    },
    {
      "start": 153.553,
      "end": 155.443,
      "text": "然后呢它出错之后我不想折腾呢",
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      "language_run": 6
    },
    {
      "start": 155.443,
      "end": 157.203,
      "text": "因为我这个kodex直接崩了",
      "language": "zh",
      "chunk": 0,
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      "language_run": 6
    },
    {
      "start": 157.843,
      "end": 159.843,
      "text": "我就到这个什么dip-seek harness里面来",
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    },
    {
      "start": 159.843,
      "end": 161.764,
      "text": "让dip-seek harness给我解决",
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    },
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      "start": 163.717,
      "end": 165.103,
      "text": "人家很快也帮我搞定了",
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    },
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      "start": 168.925,
      "end": 169.675,
      "text": "不仅帮我搞定了",
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    },
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      "start": 169.675,
      "end": 172.295,
      "text": "还把我以前的一些配置预法的错误",
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    },
    {
      "start": 172.295,
      "end": 173.175,
      "text": "全部给它修复了",
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    },
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      "start": 173.175,
      "end": 174.895,
      "text": "那现在再打开",
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    },
    {
      "start": 174.895,
      "end": 176.398,
      "text": "里面是不是什么都有了",
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      "start": 177.706,
      "end": 179.296,
      "text": "官方的GPT的接口",
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    },
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      "start": 180.633,
      "end": 182.755,
      "text": "是吧 这些所有的模型都在里面",
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    },
    {
      "start": 191.398,
      "end": 193.128,
      "text": "所以说我希望大家在留言的时候",
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    },
    {
      "start": 193.128,
      "end": 194.488,
      "text": "就是你如果没用过",
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    },
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      "start": 194.488,
      "end": 195.128,
      "text": "你不要装逼",
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      "start": 195.128,
      "end": 195.868,
      "text": "因为说实话",
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    },
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      "start": 195.868,
      "end": 196.788,
      "text": "我特别烦这种人",
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    },
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      "text": "就是自己没有经过实测",
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      "language_run": 8
    },
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      "end": 202.042,
      "text": "在那裡假裝自己訂閱了GPT",
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    },
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      "text": "假裝自己使用了什麼GPT 5.6 Lula",
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    },
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      "start": 206.429,
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      "text": "然后他们发表到那些非常low的言论",
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    },
    {
      "start": 208.899,
      "end": 210.279,
      "text": "说实话我有的时候都不想回他们",
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      "chunk": 0,
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      "language_run": 8
    },
    {
      "start": 210.279,
      "end": 212.239,
      "text": "但是他们又不断的出现",
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      "language_run": 8
    },
    {
      "start": 212.239,
      "end": 213.085,
      "text": "不断的骚扰我",
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      "language_run": 8
    },
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      "start": 215.663,
      "end": 217.453,
      "text": "就我在视频中说GPT5.6LULA",
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      "language_run": 9
    },
    {
      "start": 217.453,
      "end": 218.253,
      "text": "是智障",
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      "start": 218.253,
      "end": 219.773,
      "text": "这个是我自己的使用感受",
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    },
    {
      "start": 219.773,
      "end": 220.733,
      "text": "你可以不同意",
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    },
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      "start": 220.733,
      "end": 221.633,
      "text": "是吧",
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      "text": "但是我相信配置它自己",
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      "start": 223.513,
      "end": 225.073,
      "text": "配置它这个脚本",
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    },
    {
      "start": 225.073,
      "end": 227.308,
      "text": "这是再傻逼不过的",
      "language": "zh",
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      "language_run": 9
    },
    {
      "start": 228.794,
      "end": 230.278,
      "text": "这个工作了 他就是搞不定",
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    },
    {
      "start": 231.988,
      "end": 232.928,
      "text": "不仅搞不定",
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      "language_run": 9
    },
    {
      "start": 232.928,
      "end": 235.156,
      "text": "像他妈装模这样的去骗我",
      "language": "zh",
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    },
    {
      "start": 236.466,
      "end": 237.536,
      "text": "这是不是严重浪费我的时间",
      "language": "zh",
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    },
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      "start": 237.536,
      "end": 240.496,
      "text": "我至于为了这个每个月一百多块钱",
      "language": "zh",
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      "language_run": 9
    },
    {
      "start": 240.496,
      "end": 242.496,
      "text": "每个月二十美金的这个额度",
      "language": "zh",
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      "language_run": 9
    },
    {
      "start": 242.496,
      "end": 243.556,
      "text": "我一定要把它消耗掉吗",
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    },
    {
      "start": 243.556,
      "end": 244.397,
      "text": "我至于吗",
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    },
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      "start": 245.764,
      "end": 247.074,
      "text": "我至于用它的干活吗",
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      "language_run": 9
    },
    {
      "start": 247.074,
      "end": 247.854,
      "text": "蠢的跟猪一样",
      "language": "zh",
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      "language_run": 9
    },
    {
      "start": 247.854,
      "end": 249.834,
      "text": "那你说用这个Tera行不行",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 9
    },
    {
      "start": 249.834,
      "end": 250.534,
      "text": "Tera行啊",
      "language": "zh",
      "chunk": 0,
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      "language_run": 9
    },
    {
      "start": 250.534,
      "end": 252.654,
      "text": "我昨天的视频中不是讲了吗",
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      "chunk": 0,
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      "language_run": 9
    },
    {
      "start": 252.654,
      "end": 254.254,
      "text": "就这么一个配置脚本修改",
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      "language_run": 9
    },
    {
      "start": 254.254,
      "end": 255.874,
      "text": "就干掉了我6%的额度",
      "language": "zh",
      "chunk": 0,
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      "language_run": 9
    },
    {
      "start": 257.078,
      "end": 257.928,
      "text": "我能用它干活吗",
      "language": "zh",
      "chunk": 0,
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      "language_run": 9
    },
    {
      "start": 259.365,
      "end": 260.455,
      "text": "我一个工作一半还没做",
      "language": "zh",
      "chunk": 0,
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      "language_run": 9
    },
    {
      "start": 260.455,
      "end": 261.375,
      "text": "三分之一还没做",
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      "language_run": 9
    },
    {
      "start": 261.375,
      "end": 263.275,
      "text": "额度就消化完毕了",
      "language": "zh",
      "chunk": 0,
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      "language_run": 9
    },
    {
      "start": 263.275,
      "end": 264.055,
      "text": "我怎么用它",
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      "language_run": 9
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      "start": 267.476,
      "end": 268.706,
      "text": "我给大家讲的",
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      "language_run": 10
    },
    {
      "start": 268.706,
      "end": 270.666,
      "text": "都是非常主观的",
      "language": "zh",
      "chunk": 0,
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    },
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      "start": 270.666,
      "end": 271.626,
      "text": "我个人的使用感受",
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      "text": "但是这种感受我都是我自己实践的",
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      "end": 275.366,
      "text": "我并没有装逼",
      "language": "zh",
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      "start": 275.366,
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      "text": "现在我们看到就是昨天",
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      "chunk": 0,
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      "language_run": 10
    },
    {
      "start": 278.906,
      "end": 282.126,
      "text": "死掉的那个APP开发是吧",
      "language": "zh",
      "chunk": 0,
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      "language_run": 10
    },
    {
      "start": 282.126,
      "end": 284.286,
      "text": "我们记下现在我的这个额度消耗",
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      "language_run": 10
    },
    {
      "start": 284.286,
      "end": 286.366,
      "text": "是99%是吧",
      "language": "zh",
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      "language_run": 10
    },
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      "start": 286.366,
      "end": 287.826,
      "text": "现在把它切到这个什么",
      "language": "zh",
      "chunk": 0,
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      "language_run": 10
    },
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      "start": 290.343,
      "end": 291.993,
      "text": "GPT5.6 阿斯加上来",
      "language": "zh",
      "chunk": 0,
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      "language_run": 11
    },
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      "start": 300.746,
      "end": 302.696,
      "text": "让我重新开一个可能会更好",
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      "chunk": 0,
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      "language_run": 12
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      "start": 302.696,
      "end": 303.636,
      "text": "但是我不想重开",
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      "start": 303.636,
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      "text": "因为我昨天使用的是Openroot上的GPT6 ASTRA",
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      "chunk": 0,
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      "start": 306.536,
      "end": 307.896,
      "text": "这个应该没有什么区别",
      "language": "zh",
      "chunk": 0,
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      "language_run": 12
    },
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      "start": 307.896,
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      "text": "而且我使用Deepseek跟这个千吻本地模型开发的时候",
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      "chunk": 0,
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      "language_run": 12
    },
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      "start": 311.496,
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      "text": "我都是热切的",
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      "language_run": 12
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      "start": 312.536,
      "end": 314.996,
      "text": "热切是最能体现出一个模型的性价比",
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    },
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      "start": 314.996,
      "end": 316.0,
      "text": "最能体验它的能力的",
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      "chunk": 0,
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      "language_run": 12
    },
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      "start": 317.359,
      "end": 319.109,
      "text": "是吧我在他两个不同的入口",
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    },
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      "start": 319.109,
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      "text": "同样的模型之间这些我相信怎么说的正常的操作",
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    },
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      "start": 321.869,
      "end": 323.809,
      "text": "那么现在让他继续开发",
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      "language_run": 12
    },
    {
      "start": 323.809,
      "end": 326.149,
      "text": "就看看他到底能不能把这个工作完成",
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      "chunk": 0,
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      "language_run": 12
    },
    {
      "start": 326.149,
      "end": 327.609,
      "text": "看这个额度够不够大",
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    },
    {
      "start": 335.637,
      "end": 337.767,
      "text": "就如果说大家对我的测试方式",
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      "language_run": 13
    },
    {
      "start": 337.767,
      "end": 338.867,
      "text": "有怀疑",
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      "language_run": 13
    },
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      "start": 338.867,
      "end": 340.127,
      "text": "是吧",
      "language": "zh",
      "chunk": 0,
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      "language_run": 13
    },
    {
      "start": 340.127,
      "end": 341.627,
      "text": "你们可以在论坛发帖",
      "language": "zh",
      "chunk": 0,
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      "language_run": 13
    },
    {
      "start": 341.627,
      "end": 343.847,
      "text": "展现出你们更加科学的测试方式",
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      "chunk": 0,
      "local_language_run": 32,
      "language_run": 13
    },
    {
      "start": 343.847,
      "end": 346.147,
      "text": "我本人就是维护一个网站",
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      "language_run": 13
    },
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      "start": 346.147,
      "end": 348.007,
      "text": "维护一个这个APP",
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    },
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      "start": 348.007,
      "end": 348.667,
      "text": "是吧",
      "language": "zh",
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      "text": "我现在在开发这个APP",
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      "start": 349.767,
      "end": 351.267,
      "text": "暂时我还没决定封出来给大家用",
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    {
      "start": 351.267,
      "end": 353.227,
      "text": "但是基本上的功能都已经开发完毕了",
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    },
    {
      "start": 353.227,
      "end": 355.107,
      "text": "这个功能就是用DeepSickVS Flush",
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      "language_run": 13
    },
    {
      "start": 355.107,
      "end": 358.047,
      "text": "用这个千万3.827比本定模型来开发的",
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      "chunk": 0,
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      "language_run": 13
    },
    {
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      "end": 358.807,
      "text": "是吧",
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      "start": 358.807,
      "end": 361.087,
      "text": "关于这两个模型之间的体验差距",
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      "chunk": 0,
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    },
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      "start": 361.087,
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      "text": "我在过去的",
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    },
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      "start": 363.569,
      "end": 365.139,
      "text": "视频中都多次讲到了",
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    },
    {
      "start": 369.492,
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      "text": "这个什么open root上的机口帮他完成了理解",
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      "chunk": 0,
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    },
    {
      "start": 373.836,
      "end": 376.303,
      "text": "今天讓他這個自己去",
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    },
    {
      "start": 377.587,
      "end": 379.217,
      "text": "把昨天的这个上下文总结一下",
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      "chunk": 0,
      "local_language_run": 36,
      "language_run": 15
    },
    {
      "start": 379.217,
      "end": 380.377,
      "text": "推进开发",
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    },
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      "start": 380.377,
      "end": 382.037,
      "text": "看看他能不能把这个任务完成",
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    },
    {
      "start": 382.037,
      "end": 384.277,
      "text": "现在已经处理了一分钟四秒",
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    },
    {
      "start": 387.297,
      "end": 388.496,
      "text": "关于我之前啊",
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    },
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      "start": 389.658,
      "end": 393.208,
      "text": "使用Deepseek 威斯福拉奇或者轻微3.820GB",
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      "chunk": 0,
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      "language_run": 16
    },
    {
      "start": 393.208,
      "end": 395.608,
      "text": "科发时候的体验大家可以看我以往的视频",
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      "chunk": 0,
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    },
    {
      "start": 396.108,
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      "text": "那些视频里这里面执行一个步骤",
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    },
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      "start": 398.908,
      "end": 400.482,
      "text": "花了多长时间都有记录的",
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    },
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      "start": 402.505,
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      "text": "就最慢的",
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    },
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      "start": 403.555,
      "end": 406.755,
      "text": "像我喷的比较厉害的轻微3.8Flush",
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      "chunk": 0,
      "local_language_run": 39,
      "language_run": 17
    },
    {
      "start": 406.755,
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      "text": "跟这个什么",
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    },
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      "start": 408.155,
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      "text": "轻微3.820Gbps本地模型",
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    },
    {
      "start": 413.944,
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      "text": "我都有展示",
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    },
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      "start": 414.634,
      "end": 417.494,
      "text": "比如说我展示这个青纹三点",
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      "local_language_run": 40,
      "language_run": 18
    },
    {
      "start": 417.494,
      "end": 419.634,
      "text": "这个20Gb本地模型",
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      "text": "我同时给了他六个任务",
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      "start": 421.414,
      "end": 422.954,
      "text": "我没有像这样",
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      "start": 422.954,
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      "text": "我给他六个任务都是比这个复杂的",
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    },
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      "start": 424.674,
      "end": 426.394,
      "text": "bug都是比这个要严重的多的",
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      "text": "我同时给他六个任务",
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      "end": 429.754,
      "text": "在过往的视频中你们可以翻看",
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      "text": "他是花了20分钟给他搞定了",
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      "start": 435.014,
      "end": 436.347,
      "text": "我们看看这一个任务他有花多久",
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    },
    {
      "start": 438.462,
      "end": 440.852,
      "text": "就这是我能找到的所有bug中",
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    },
    {
      "start": 440.852,
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      "text": "最小的一个",
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    },
    {
      "start": 444.716,
      "end": 445.646,
      "text": "就是说我希望",
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      "language_run": 21
    },
    {
      "start": 445.646,
      "end": 448.526,
      "text": "引用的时候能把这个格式稍微美化一下",
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      "language_run": 21
    },
    {
      "start": 448.526,
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      "text": "然后把这个光标停到下一行",
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    },
    {
      "start": 453.087,
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      "text": "这个就是我的诉求",
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      "text": "首先我别的不说在执行实践上面",
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    },
    {
      "start": 458.406,
      "end": 459.506,
      "text": "它肯定是已经落伍了",
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      "start": 459.506,
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      "text": "它三分钟之内是没有办法把这个问题给解决掉的",
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    {
      "start": 464.086,
      "end": 467.236,
      "text": "它還要推送 是吧 推送到我的這個什麼母理器上",
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    {
      "start": 467.236,
      "end": 468.127,
      "text": "來讓我印證",
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      "language_run": 23
    },
    {
      "start": 474.92,
      "end": 475.97,
      "text": "就我用最慢的",
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      "start": 475.97,
      "end": 477.47,
      "text": "我都不要说跟这个什么Deep Seek",
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      "chunk": 0,
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    },
    {
      "start": 477.47,
      "end": 478.37,
      "text": "VS Flush来比了",
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    },
    {
      "start": 478.839,
      "end": 482.05,
      "text": "我就是跟本地最慢的千尾3.8 27B",
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      "start": 482.05,
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      "text": "这个本地模型",
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    },
    {
      "start": 483.13,
      "end": 484.35,
      "text": "我用S接浪驱动的",
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      "local_language_run": 1,
      "language_run": 24
    },
    {
      "start": 484.35,
      "end": 485.75,
      "text": "速度都比它快",
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      "language_run": 24
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      "start": 488.887,
      "end": 489.937,
      "text": "对了我必须说",
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      "start": 489.937,
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      "text": "昨天这个前面他有一大段理解",
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    },
    {
      "start": 492.997,
      "end": 493.997,
      "text": "花了这个九美金",
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      "chunk": 1,
      "local_language_run": 2,
      "language_run": 25
    },
    {
      "start": 495.243,
      "end": 496.138,
      "text": "这个是昨天的",
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    },
    {
      "start": 497.319,
      "end": 498.124,
      "text": "Open注册上面呢",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 4,
      "language_run": 25
    },
    {
      "start": 502.034,
      "end": 502.968,
      "text": "我們看一下額度吧",
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      "language_run": 26
    },
    {
      "start": 505.859,
      "end": 507.869,
      "text": "这个额度消耗还是可以接受的啊",
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    },
    {
      "start": 507.869,
      "end": 510.129,
      "text": "它只消耗了15%左右",
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      "start": 511.608,
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      "text": "这个还是能够接受的",
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      "start": 512.618,
      "end": 513.598,
      "text": "比昨天好多了",
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      "start": 513.598,
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      "text": "昨天有可能这个什么",
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      "start": 515.418,
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      "text": "它是一个新的绘画",
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      "start": 517.558,
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      "text": "就它要理解整个项目",
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      "chunk": 1,
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      "language_run": 27
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    {
      "start": 520.914,
      "end": 522.724,
      "text": "他一下子注入了超长的上下文",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 8,
      "language_run": 27
    },
    {
      "start": 522.724,
      "end": 524.364,
      "text": "直接把我的这个额度干爆了",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 8,
      "language_run": 27
    },
    {
      "start": 524.364,
      "end": 525.564,
      "text": "还有可能就是他这个师徒",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 8,
      "language_run": 27
    },
    {
      "start": 525.564,
      "end": 527.924,
      "text": "本身很贵",
      "language": "zh",
      "chunk": 1,
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      "language_run": 27
    },
    {
      "start": 527.924,
      "end": 529.124,
      "text": "他不像deep secret的师徒",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 8,
      "language_run": 27
    },
    {
      "start": 529.124,
      "end": 531.084,
      "text": "deep secret的师徒就是个白菜价",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 8,
      "language_run": 27
    },
    {
      "start": 532.301,
      "end": 534.071,
      "text": "就是你可以把它当做玩具随便去玩",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 9,
      "language_run": 27
    },
    {
      "start": 537.471,
      "end": 539.521,
      "text": "好像是什么九张图片一分前",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 10,
      "language_run": 28
    },
    {
      "start": 539.521,
      "end": 541.401,
      "text": "用威斯夫拉奇的尸图摸指",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 10,
      "language_run": 28
    },
    {
      "start": 546.254,
      "end": 549.204,
      "text": "啊,消耗了18%",
      "language": "zh",
      "chunk": 1,
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      "language_run": 29
    },
    {
      "start": 553.025,
      "end": 554.675,
      "text": "希望他能够完成这个任务吧",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 12,
      "language_run": 30
    },
    {
      "start": 579.709,
      "end": 581.359,
      "text": "so",
      "language": "en",
      "chunk": 1,
      "local_language_run": 13,
      "language_run": 31
    },
    {
      "start": 591.747,
      "end": 594.397,
      "text": "I'm going to put it in the middle of the bag.",
      "language": "en",
      "chunk": 1,
      "local_language_run": 14,
      "language_run": 32
    },
    {
      "start": 607.498,
      "end": 608.588,
      "text": "我必须要说一下",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 15,
      "language_run": 33
    },
    {
      "start": 608.588,
      "end": 609.728,
      "text": "有的人会说",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 15,
      "language_run": 33
    },
    {
      "start": 609.728,
      "end": 612.188,
      "text": "哪个哪个主播在什么视频中展示",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 15,
      "language_run": 33
    },
    {
      "start": 612.188,
      "end": 615.048,
      "text": "一句话让他开发个什么小游戏之类的",
      "language": "zh",
      "chunk": 1,
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      "language_run": 33
    },
    {
      "start": 615.048,
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      "text": "我说实话",
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      "language_run": 33
    },
    {
      "start": 615.588,
      "end": 617.988,
      "text": "那种开发的难度是很低的",
      "language": "zh",
      "chunk": 1,
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      "language_run": 33
    },
    {
      "start": 617.988,
      "end": 619.448,
      "text": "就是你们让DeepSigV4 Pro",
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      "chunk": 1,
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      "language_run": 33
    },
    {
      "start": 619.448,
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      "text": "让什么VSFLAG去做这样的开发也能做",
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      "chunk": 1,
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    },
    {
      "start": 622.228,
      "end": 625.308,
      "text": "可能说效果没有这个什么GPT6那么好",
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      "chunk": 1,
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      "language_run": 33
    },
    {
      "start": 625.308,
      "end": 628.208,
      "text": "但是你不要看这个论坛APP",
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    },
    {
      "start": 628.208,
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      "text": "只是什么简单的这种内容显示",
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      "chunk": 1,
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      "language_run": 33
    },
    {
      "start": 630.668,
      "end": 633.328,
      "text": "它的开发难度是比那个什么",
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    },
    {
      "start": 633.328,
      "end": 635.83,
      "text": "比一个简单的小游戏要难得多的",
      "language": "zh",
      "chunk": 1,
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      "language_run": 33
    },
    {
      "start": 638.228,
      "end": 640.751,
      "text": "我们看一看有没有实现刚才我的要求",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 16,
      "language_run": 34
    },
    {
      "start": 645.602,
      "end": 647.255,
      "text": "好 这个完成得非常好",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 17,
      "language_run": 35
    },
    {
      "start": 649.931,
      "end": 654.009,
      "text": "I'm going to put the lid on the side.",
      "language": "en",
      "chunk": 1,
      "local_language_run": 18,
      "language_run": 36
    },
    {
      "start": 663.453,
      "end": 664.523,
      "text": "哎这个我必须说",
      "language": "zh",
      "chunk": 1,
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      "language_run": 37
    },
    {
      "start": 665.938,
      "end": 668.628,
      "text": "他这个任务执行的这个准确度是很高的啊",
      "language": "zh",
      "chunk": 1,
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      "language_run": 37
    },
    {
      "start": 668.628,
      "end": 670.328,
      "text": "这个必须要承认",
      "language": "zh",
      "chunk": 1,
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      "language_run": 37
    },
    {
      "start": 670.328,
      "end": 674.248,
      "text": "就说他起码跟DeepSickVisPro相比",
      "language": "zh",
      "chunk": 1,
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      "language_run": 37
    },
    {
      "start": 675.514,
      "end": 676.384,
      "text": "它是处于一个水平",
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      "chunk": 1,
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      "language_run": 37
    },
    {
      "start": 678.205,
      "end": 679.435,
      "text": "但是我们也知道这个价格嘛",
      "language": "zh",
      "chunk": 1,
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    },
    {
      "start": 679.435,
      "end": 679.655,
      "text": "是不是",
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    },
    {
      "start": 679.655,
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      "text": "你们看到这一个小任务",
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      "chunk": 1,
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    {
      "start": 681.235,
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      "text": "在之前已经消耗了",
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      "chunk": 1,
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    {
      "start": 682.795,
      "end": 684.495,
      "text": "我九美金额度的情况下",
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      "chunk": 1,
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    },
    {
      "start": 684.495,
      "end": 686.835,
      "text": "它完成这个小的改动",
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      "chunk": 1,
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    {
      "start": 686.835,
      "end": 688.035,
      "text": "第一它时间上面",
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      "language_run": 37
    },
    {
      "start": 688.035,
      "end": 689.475,
      "text": "比我这个本地的",
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      "chunk": 1,
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      "language_run": 37
    },
    {
      "start": 689.475,
      "end": 690.755,
      "text": "轻轻3.820Gbps还要慢",
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    },
    {
      "start": 692.785,
      "end": 694.715,
      "text": "第二就是他消耗的这个什么",
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    },
    {
      "start": 694.715,
      "end": 696.375,
      "text": "额度用量",
      "language": "zh",
      "chunk": 1,
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    },
    {
      "start": 696.375,
      "end": 697.935,
      "text": "就干掉了我20%",
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    },
    {
      "start": 700.287,
      "end": 701.537,
      "text": "一周用量干掉了4%",
      "language": "zh",
      "chunk": 1,
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      "language_run": 39
    },
    {
      "start": 704.25,
      "end": 704.62,
      "text": "怎么讲呢",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 25,
      "language_run": 40
    },
    {
      "start": 704.62,
      "end": 705.18,
      "text": "我只能说",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 25,
      "language_run": 40
    },
    {
      "start": 705.18,
      "end": 707.96,
      "text": "比我昨天想象的情况要好一点",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 25,
      "language_run": 40
    },
    {
      "start": 707.96,
      "end": 709.84,
      "text": "如果说用这个什么订阅计划的话",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 25,
      "language_run": 40
    },
    {
      "start": 709.84,
      "end": 712.3,
      "text": "它肯定是比调用API要划算的多",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 25,
      "language_run": 40
    },
    {
      "start": 713.81,
      "end": 715.74,
      "text": "我必须要给它平坦",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 715.74,
      "end": 718.28,
      "text": "就是它没有昨天想象的那么贵",
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      "language_run": 40
    },
    {
      "start": 718.28,
      "end": 720.5,
      "text": "因为昨天我是用API的方式调用的",
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      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 720.5,
      "end": 723.68,
      "text": "但是我相信大家通过这个简单的任务对比",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 723.68,
      "end": 725.54,
      "text": "你们可以去翻看我以往",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 725.54,
      "end": 727.68,
      "text": "用这个VSFLAG或者用这个本地",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 727.68,
      "end": 728.9,
      "text": "勤劳测试的那些视频",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 728.9,
      "end": 730.88,
      "text": "你们去验证一下",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 730.88,
      "end": 731.32,
      "text": "是不是啊",
      "language": "zh",
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    },
    {
      "start": 731.32,
      "end": 732.48,
      "text": "我还特别强调过",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 732.48,
      "end": 733.76,
      "text": "我同时给六个任务",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 733.76,
      "end": 735.094,
      "text": "它二十分钟就完成了",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 26,
      "language_run": 40
    },
    {
      "start": 736.408,
      "end": 738.058,
      "text": "我现在都不敢同时给六个任务给他",
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      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 738.058,
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      "text": "同时给六个任务",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 739.058,
      "end": 741.058,
      "text": "我这个额度就直接被干完了",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 27,
      "language_run": 40
    },
    {
      "start": 741.058,
      "end": 743.018,
      "text": "我画图就不用画了",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 27,
      "language_run": 40
    },
    {
      "start": 744.613,
      "end": 745.503,
      "text": "就关于很多人说的",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 28,
      "language_run": 40
    },
    {
      "start": 745.503,
      "end": 747.043,
      "text": "说什么威斯福拉西",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 28,
      "language_run": 40
    },
    {
      "start": 747.043,
      "end": 748.683,
      "text": "或者说是什么本地的亲吻",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 748.683,
      "end": 750.843,
      "text": "3.827匹很蠢啊",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 750.843,
      "end": 752.003,
      "text": "怎么怎么样啊",
      "language": "zh",
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      "language_run": 40
    },
    {
      "start": 752.003,
      "end": 753.583,
      "text": "对此我只能呵呵一笑",
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      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 753.583,
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      "text": "就他能实现的功能",
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    {
      "start": 756.863,
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      "text": "我都是批量给这个本地的模型或者给威斯福拉奇的",
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    },
    {
      "start": 761.585,
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      "text": "有人家也能完成",
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      "start": 764.136,
      "end": 766.366,
      "text": "你可能说效果并不一定",
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      "chunk": 1,
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    },
    {
      "start": 766.366,
      "end": 767.726,
      "text": "就像它这样一字到位",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 767.726,
      "end": 769.306,
      "text": "尤其是轻微3.820Gb",
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    },
    {
      "start": 769.306,
      "end": 770.626,
      "text": "我这个是必须要承认的",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 31,
      "language_run": 40
    },
    {
      "start": 772.442,
      "end": 774.832,
      "text": "就他现在这个回复的这个效果",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 774.832,
      "end": 777.212,
      "text": "这个效果是威斯福拉西做的",
      "language": "zh",
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      "language_run": 40
    },
    {
      "start": 777.212,
      "end": 778.072,
      "text": "就引用啊",
      "language": "zh",
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    },
    {
      "start": 778.072,
      "end": 779.012,
      "text": "引用这个效果",
      "language": "zh",
      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 779.012,
      "end": 780.212,
      "text": "是威斯福拉西做的",
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      "chunk": 1,
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      "language_run": 40
    },
    {
      "start": 780.212,
      "end": 780.872,
      "text": "包括这个什么",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 32,
      "language_run": 40
    },
    {
      "start": 780.872,
      "end": 783.872,
      "text": "马克当格式的解析",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 32,
      "language_run": 40
    },
    {
      "start": 783.872,
      "end": 785.389,
      "text": "全部是威斯福拉西做的",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 32,
      "language_run": 40
    },
    {
      "start": 787.645,
      "end": 789.535,
      "text": "因为我用这个轻微3.827比的时候",
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    },
    {
      "start": 789.535,
      "end": 790.355,
      "text": "它有的时候",
      "language": "zh",
      "chunk": 1,
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      "language_run": 41
    },
    {
      "start": 790.355,
      "end": 792.655,
      "text": "这个什么解析会有错误会有错漏",
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      "chunk": 1,
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      "language_run": 41
    },
    {
      "start": 792.655,
      "end": 795.055,
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