{
  "text": "昨天我簡單測試一下GPT6,就被很多人批評。說你不是有這個訂閱嗎?你怎麼不用訂閱呢?你用IPI當然貴了。我首先必須聲明啊,我的這個訂閱是plus。就是,它是20美金一個月的。它沒多少額度,知道嗎?如果說你用到這個pro可能說額度會多一點。但是pro就比較貴了,我覺得不划算啊。我訂閱這個plus主要是用來畫圖的。就在網絡版畫圖。我希望我的這個額度要稍微多一點。\n因为我经营着好几个油管频道\n是吧\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\n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5.6 Terra\n这是个中等配置的模型\n中等档次的模型\n我让它来给我配置这个什么\nGPT6 ASTRA的这个\n接口\n如果说我的提供商是这个Openroot.ai\n它是可以搞定的\n但是它花了四分钟五秒\n就有很多人\n有留言说了\n你就用这个GPT5.6LURA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它到底好不好用\n看到没有\nGPT5.6 LULA给它开到高\n让它配置什么呢\n配置它官方原版的\n这个GPT6的这个API\n因为官方已经推送了\n由于我这个\n模型的这个root是我自己定义的\n它可能说没有识别\n我就让它把它加进来\n他消耗了我1%的额度\n这个确实是便宜了\n额度消耗降低了\n但是他每次告诉我的\n其实都是假的\n都根本就不能用\n甚至最后一次\n他直接把这个配置给干崩了\n我进来之后\n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我都是用了什么\nDeepseek Vsflash\n从来没有出过问题\n就\n你说这个模型怎么对比吗\n对不对\n你说这个NURA怎么能跟Deepseek with Flash\n对比\n你们到底有没有用过Deepseek with Flash\n然后呢\n他出错之后\n我不想折腾\n因为我这个Codex直接崩了\n我就到这个什么Deepseek Harness里面来\n让Deepseek Harness给我解决\n是不是\n人家很快也帮我搞定了\n不仅帮我搞定了\n还把我以前呢\n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的借口\n是吧\n这些所有的模型都在里面\n没有一个丢了的\n全部都能用\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在那里假装自己订阅了GPT\n假装自己使用了什么GPT5.6 Lula\n然后他们发表了那些非常low的言论\n说说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GPT5.6 Lula\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但是我相信配置他自己\n配置他这个脚本\n这是再傻逼不过的\n这个工作了\n他就是搞不定\n是吧\n不仅搞不定还他妈像装模像样的去骗我\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是吧\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额度就消耗完毕了\n我怎么用它\n是吧\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\n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\nAstra上来\n它会提醒\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DeepSick跟这个千文本利模型开发的时候\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\n我在它两个不同的入口\n同样的模型之间热切\n我相信怎么说的正常的操作\n那么现在让它继续开发\n就看看它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DeepSickVisflag\n用这个切问3.827笔本地模型来开发的\n是吧\n关于这两个模型之间的体验差距\n我在过去的视频中都多次讲到了\n昨天\n这个什么OpenRoot上的借口\n帮他完成了理解\n今天让他自己\n去\n把昨天的上下文总结一下\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\n使用Deepseek\nVisflag或者轻闻3.820GB\n科发时候的体验\n大家可以看我以往的视频\n就是那些视频里\n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\n轻文3.8flash\n跟这个什么\n轻文3.820GB本地模型\n我都有展示\n比如说我展示这个轻文3.8\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\n八个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要花多久\n这是我能找到的所有bug中最小的一个\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时间上面\n它肯定是已经落伍了\n它三分钟之内是没有办法\n把这个问题给解决掉的\n它还要推送\n推送到我的这个什么\n模拟器上\n来让我印证\n就我用最慢的\n我都不要说跟这个什么\nDeepSickVisFlash来比了\n我就是跟本地最慢的千微3.827B,這個本地模型,我用S接浪驅動的,速度都比他快。\n对了我必须说\n昨天这个前面\n他有一大段理解花了这个九美金\n这个是昨天的\nopen route上面的\n我们看一下额度吧\n这个额度消耗还是可以接受的\n他只消耗了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它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还有可能就是它这个师徒\n本身很贵\n它不像deep secret的师徒\ndeep secret的师徒就是个白菜价\n就是你可以把它当作玩具\n随便去玩\n好像是什么\n九张图片一分钱\n用威斯夫拉奇的师徒模式\n消耗了18%\n希望他能够完成这个任务吧\n他这个推送了吗\n没有推松了\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我说实话那种开发的难度是很低的\n就是你们让Deepseek vs Pro\n什么VS Flux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\n有没有实现刚才我的要求\n好\n这个完成得非常好\n这个我必须说\n他这个任务执行的这个准确度是很高的\n这个必须要承认\n就说他起码跟DeepSickVisPro相比\n他是处于一个水平\n但是我们也知道这个价格\n是不是\n你们看到这一个小任务\n在之前已经消耗了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比我这个本地的轻轻3.820Gb\n还有慢\n第二就是它消耗的这个什么\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我必须要给他平坦\n就是他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你们可以去翻翻看我以往\n用这个VSFLAG或者用这个本地\n亲吻测试的那些视频\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他二十分钟就完成了\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盖完了\n我画图就不用画了\n就关于很多人说的\n说什么V斯福拉西\n或者说是什么本地的亲吻\n3.827B很蠢啊\n怎么怎么样啊\n对此我只能呵呵一笑\n就它能实现的功能\n我都是疲量给这个本地的模型\n或者给V斯福拉西的\n就人家也能完成\n是吧\n你可能说效果并不一定\n就像它这样一次到位\n尤其是亲吻3.827B\n我这个是必须要承认的啊\n就他现在这个\n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\n轻微三点二十几比的时候\n他有的时候就这个什么解析会有错误\n会有错漏\n尤其是表格什么东西的\n你看威斯福拉西就能把它做得很好\n解析的这些表情都是对的\n然后千万3.8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普拉奇要差一个档次\n这个刚才由于\n我给它只是一个简单的任务\n但是我必须说它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它用来写了个什么八卦网页\n什么图记中原堆\n这个SVG包括薛定尔的猫思想\n是一SVG是吧\n它都是一次性搞定都没有什么硬性的bug\n虽然它的审美\n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使用它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但是你绝对算不上领压式的领先\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\n说什么用DeepSeek Vistop那些\n用这个什么千万27比开发不了的人\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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      "text": "昨天我簡單測試一下GPT6,就被很多人批評。說你不是有這個訂閱嗎?你怎麼不用訂閱呢?你用IPI當然貴了。我首先必須聲明啊,我的這個訂閱是plus。就是,它是20美金一個月的。它沒多少額度,知道嗎?如果說你用到這個pro可能說額度會多一點。但是pro就比較貴了,我覺得不划算啊。我訂閱這個plus主要是用來畫圖的。就在網絡版畫圖。我希望我的這個額度要稍微多一點。",
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      "text": "因为我经营着好几个油管频道",
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      "text": "是吧",
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      "text": "那么这些频道都需要生成",
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      "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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      "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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      "text": "所以说我一般是",
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      "text": "不会用这个额度的",
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      "text": "然后我昨天不是展示了吗",
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      "text": "我用这个5.6 Terra",
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      "text": "这是个中等配置的模型",
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      "text": "中等档次的模型",
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      "text": "我让它来给我配置这个什么",
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      "text": "接口",
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      "text": "如果说我的提供商是这个Openroot.ai",
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      "text": "它是可以搞定的",
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    {
      "start": 61.58,
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      "text": "但是它花了四分钟五秒",
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    {
      "start": 62.82,
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      "text": "就有很多人",
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    {
      "start": 65.9,
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      "text": "有留言说了",
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      "start": 66.94,
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      "text": "你就用这个GPT5.6LURA就行了",
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    {
      "start": 69.26,
      "end": 71.08,
      "text": "把这个什么思考模式开高",
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    {
      "start": 71.08,
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      "text": "开高它就变聪明了",
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    {
      "start": 72.2,
      "end": 75.24,
      "text": "我在这个视频中说某种观点",
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      "start": 75.24,
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      "text": "肯定这种观点我自己实践过",
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    {
      "start": 76.94,
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      "text": "我不是键盘牙",
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      "start": 78.32,
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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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    {
      "start": 81.76,
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      "text": "就知道在这个评论区BB",
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      "start": 83.38,
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      "text": "他们可能自己也没有订阅GPT",
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      "start": 86.24,
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      "text": "也没有用过这个GPT5.6",
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    {
      "start": 88.34,
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      "text": "LULA",
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    {
      "start": 89.16,
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      "text": "他们就说这个模型好用",
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      "start": 90.88,
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      "text": "那今天我就给你们展示一下它到底好不好用",
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      "start": 94.02,
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      "text": "看到没有",
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      "start": 95.4,
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      "text": "GPT5.6 LULA给它开到高",
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    {
      "start": 97.0,
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      "text": "让它配置什么呢",
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    {
      "start": 99.06,
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      "text": "配置它官方原版的",
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      "start": 101.02,
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      "text": "这个GPT6的这个API",
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      "start": 102.48,
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      "text": "因为官方已经推送了",
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      "start": 104.58,
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      "text": "由于我这个",
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    {
      "start": 106.56,
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      "text": "模型的这个root是我自己定义的",
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      "start": 108.7,
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      "text": "它可能说没有识别",
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      "start": 109.66,
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      "text": "我就让它把它加进来",
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      "start": 112.0,
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      "text": "他消耗了我1%的额度",
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      "start": 115.28,
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      "text": "这个确实是便宜了",
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      "start": 117.12,
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      "text": "额度消耗降低了",
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    {
      "start": 118.58,
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      "text": "但是他每次告诉我的",
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      "start": 121.42,
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      "text": "其实都是假的",
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      "start": 122.22,
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      "text": "都根本就不能用",
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      "start": 123.0,
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      "text": "甚至最后一次",
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      "start": 126.4,
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      "text": "他直接把这个配置给干崩了",
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      "start": 128.56,
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      "text": "我进来之后",
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    {
      "start": 129.48,
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      "text": "这个配置直接打不开了",
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      "start": 131.22,
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      "text": "无法使用了",
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      "start": 131.92,
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      "text": "要知道我之前配置这些东西",
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      "start": 136.42,
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      "text": "我都是用了什么",
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    {
      "start": 137.62,
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      "text": "Deepseek Vsflash",
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    {
      "start": 139.06,
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      "text": "从来没有出过问题",
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      "start": 140.98,
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      "text": "就",
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    {
      "start": 143.34,
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      "text": "你说这个模型怎么对比吗",
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      "start": 146.72,
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      "text": "对不对",
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      "start": 147.0,
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      "text": "你说这个NURA怎么能跟Deepseek with Flash",
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      "start": 148.8,
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      "text": "对比",
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    {
      "start": 149.4,
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      "text": "你们到底有没有用过Deepseek with Flash",
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      "start": 151.36,
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      "text": "然后呢",
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    {
      "start": 153.82,
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      "text": "他出错之后",
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    {
      "start": 154.36,
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      "text": "我不想折腾",
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    {
      "start": 155.38,
      "end": 157.12,
      "text": "因为我这个Codex直接崩了",
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    {
      "start": 157.12,
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      "text": "我就到这个什么Deepseek Harness里面来",
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    {
      "start": 159.8,
      "end": 161.78,
      "text": "让Deepseek Harness给我解决",
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    {
      "start": 161.78,
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      "text": "是不是",
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    {
      "start": 163.7,
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      "text": "人家很快也帮我搞定了",
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    {
      "start": 165.72,
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      "text": "不仅帮我搞定了",
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      "start": 169.68,
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      "text": "还把我以前呢",
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    {
      "start": 170.76,
      "end": 172.3,
      "text": "一些配置预法的错误",
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    {
      "start": 172.3,
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      "text": "全部给它修复了",
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      "start": 173.18,
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      "text": "那现在再打开",
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    {
      "start": 174.9,
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      "text": "里面是不是什么都有了",
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    {
      "start": 176.78,
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      "text": "官方的GPT的借口",
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    {
      "start": 179.34,
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      "text": "是吧",
      "chunk": 0,
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    {
      "start": 180.86,
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      "text": "这些所有的模型都在里面",
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    {
      "start": 183.1,
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      "text": "没有一个丢了的",
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    {
      "start": 185.32,
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      "text": "全部都能用",
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    {
      "start": 187.18,
      "end": 193.12,
      "text": "所以说我希望大家在留言的时候",
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      "start": 193.12,
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      "text": "就是你如果没用过",
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      "start": 194.48,
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      "text": "你不要装逼",
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      "start": 195.1,
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      "text": "因为说实话",
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    {
      "start": 195.86,
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      "text": "我特别烦这种人",
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    {
      "start": 196.78,
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      "text": "就是自己没有经过实测",
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      "start": 198.82,
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      "text": "在那里假装自己订阅了GPT",
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      "start": 202.04,
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      "text": "假装自己使用了什么GPT5.6 Lula",
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    {
      "start": 204.92,
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      "text": "然后他们发表了那些非常low的言论",
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      "start": 208.9,
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      "text": "说说我有的时候都不想回他们",
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      "start": 210.26,
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      "text": "但是他们又不断的出现",
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    {
      "start": 212.24,
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      "text": "不断的骚扰我",
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      "start": 213.52,
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      "text": "就我在视频中说GPT5.6 Lula",
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    {
      "start": 217.44,
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      "text": "是智障",
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      "start": 218.24,
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      "text": "这个是我自己的使用感受",
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    {
      "start": 219.76,
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      "text": "你可以不同意",
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      "start": 220.74,
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      "text": "是吧",
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      "start": 221.64,
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      "text": "但是我相信配置他自己",
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    {
      "start": 223.52,
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      "text": "配置他这个脚本",
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    {
      "start": 225.08,
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      "text": "这是再傻逼不过的",
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      "start": 227.36,
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      "text": "这个工作了",
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      "start": 229.36,
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      "text": "他就是搞不定",
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      "start": 230.3,
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      "text": "是吧",
      "chunk": 0,
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      "avg_logprob": -0.1731348197553411,
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      "start": 232.0,
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      "text": "不仅搞不定还他妈像装模像样的去骗我",
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      "start": 235.36,
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      "text": "这是不是严重浪费我的时间",
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      "start": 237.54,
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      "text": "我至于为了这个每个月一百多块钱",
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    {
      "start": 240.52,
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      "text": "每个月二十美金的这个额度",
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      "start": 242.5,
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      "text": "我一定要把它消耗掉吗",
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      "start": 243.56,
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      "text": "我至于吗",
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    {
      "start": 244.46,
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      "text": "是吧",
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      "start": 245.96,
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      "text": "我至于用它的干活吗",
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    {
      "start": 247.08,
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      "text": "蠢的跟猪一样",
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      "start": 247.86,
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      "text": "那你说用这个Tera行不行",
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      "start": 249.84,
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      "text": "Tera行啊",
      "chunk": 0,
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      "start": 250.54,
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      "text": "我昨天的视频中不是讲了吗",
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    {
      "start": 252.64,
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      "text": "就这么一个配置脚本修改",
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    {
      "start": 254.24,
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      "text": "就干掉了我6%的额度",
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      "start": 255.88,
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      "text": "我能用它干活吗",
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    {
      "start": 257.96,
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      "text": "我一个工作一半还没做",
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    {
      "start": 260.46,
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      "text": "三分之一还没做",
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    {
      "start": 261.64,
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      "text": "额度就消耗完毕了",
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      "start": 263.3,
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      "text": "我怎么用它",
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    {
      "start": 264.42,
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      "text": "是吧",
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    {
      "start": 267.64,
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      "text": "我给大家讲的",
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    {
      "start": 268.68,
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      "text": "都是非常主观的",
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    {
      "start": 270.66,
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      "text": "我个人的使用感受",
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    {
      "start": 271.62,
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      "text": "但是这种感受",
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    {
      "start": 272.68,
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      "text": "我都是我自己实践的",
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    {
      "start": 274.52,
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      "text": "我并没有装逼",
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    {
      "start": 275.36,
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      "text": "现在我们看到就是昨天",
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    },
    {
      "start": 278.52,
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      "text": "死掉的那个APP开发是吧",
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    {
      "start": 282.12,
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      "text": "我们记下现在我的这个额度消耗",
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      "start": 284.3,
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      "text": "是99%是吧",
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      "start": 286.36,
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      "text": "现在把它切到这个什么",
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      "avg_logprob": -0.24067192746881852,
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    {
      "start": 287.86,
      "end": 291.06,
      "text": "GPT5.6",
      "chunk": 0,
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      "no_speech_prob": 1.1389214224499788e-11,
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    },
    {
      "start": 291.06,
      "end": 292.54,
      "text": "Astra上来",
      "chunk": 0,
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      "no_speech_prob": 1.1389214224499788e-11,
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    },
    {
      "start": 292.54,
      "end": 295.9,
      "text": "它会提醒",
      "chunk": 0,
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      "no_speech_prob": 1.1389214224499788e-11,
      "compression_ratio": 1.1187739463601531,
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    },
    {
      "start": 295.9,
      "end": 302.54,
      "text": "让我重新开一个可能会更好",
      "chunk": 0,
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      "no_speech_prob": 1.1389214224499788e-11,
      "compression_ratio": 1.1187739463601531,
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    {
      "start": 302.54,
      "end": 303.64,
      "text": "但是我不想重开",
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    {
      "start": 303.64,
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      "text": "因为我昨天使用的是OpenRoot上的GPT6 Astra",
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    },
    {
      "start": 306.46,
      "end": 307.58,
      "text": "这个应该没有什么区别",
      "chunk": 0,
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    },
    {
      "start": 307.58,
      "end": 311.48,
      "text": "而且我使用DeepSick跟这个千文本利模型开发的时候",
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      "no_speech_prob": 1.1389214224499788e-11,
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    },
    {
      "start": 311.48,
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      "text": "我都是热切的",
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      "no_speech_prob": 1.1389214224499788e-11,
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    },
    {
      "start": 312.36,
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      "text": "热切是最能体现出一个模型的性价比",
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      "no_speech_prob": 1.3529259310085529e-11,
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    },
    {
      "start": 315.0,
      "end": 316.12,
      "text": "最能体验它的能力的",
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    },
    {
      "start": 316.12,
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      "text": "是吧",
      "chunk": 0,
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      "no_speech_prob": 1.3529259310085529e-11,
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    },
    {
      "start": 317.48,
      "end": 319.1,
      "text": "我在它两个不同的入口",
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    },
    {
      "start": 319.1,
      "end": 320.18,
      "text": "同样的模型之间热切",
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    },
    {
      "start": 320.18,
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      "text": "我相信怎么说的正常的操作",
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      "no_speech_prob": 1.3529259310085529e-11,
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    {
      "start": 321.88,
      "end": 323.82,
      "text": "那么现在让它继续开发",
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    },
    {
      "start": 323.82,
      "end": 326.14,
      "text": "就看看它到底能不能把这个工作完成",
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      "no_speech_prob": 1.3529259310085529e-11,
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    },
    {
      "start": 326.14,
      "end": 327.62,
      "text": "看这个额度够不够大",
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    },
    {
      "start": 327.62,
      "end": 338.88,
      "text": "就如果说大家对我的测试方式有怀疑",
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    {
      "start": 338.88,
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      "text": "是吧",
      "chunk": 0,
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    {
      "start": 340.14,
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      "text": "你们可以在论坛发帖",
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    },
    {
      "start": 341.62,
      "end": 343.86,
      "text": "展现出你们更加科学的测试方式",
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    },
    {
      "start": 343.86,
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      "text": "我本人就是维护一个网站",
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    {
      "start": 346.14,
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      "text": "维护一个这个APP",
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    {
      "start": 348.02,
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      "text": "是吧",
      "chunk": 0,
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      "avg_logprob": -0.16829208374023438,
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      "start": 348.68,
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      "text": "我现在在开发这个APP",
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    },
    {
      "start": 349.78,
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      "text": "暂时我还没决定封出来给大家用",
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    },
    {
      "start": 351.26,
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      "text": "但是基本上的功能都已经开发完毕了",
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    },
    {
      "start": 353.24,
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      "text": "这个功能就是用DeepSickVisflag",
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    },
    {
      "start": 355.1,
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      "text": "用这个切问3.827笔本地模型来开发的",
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      "no_speech_prob": 2.0777931458715315e-11,
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    },
    {
      "start": 358.06,
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      "text": "是吧",
      "chunk": 0,
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      "avg_logprob": -0.16829208374023438,
      "no_speech_prob": 2.0777931458715315e-11,
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    },
    {
      "start": 358.8,
      "end": 361.08,
      "text": "关于这两个模型之间的体验差距",
      "chunk": 0,
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      "avg_logprob": -0.16829208374023438,
      "no_speech_prob": 2.0777931458715315e-11,
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    },
    {
      "start": 361.08,
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      "text": "我在过去的视频中都多次讲到了",
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    {
      "start": 365.18,
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      "text": "昨天",
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      "no_speech_prob": 2.0777931458715315e-11,
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    },
    {
      "start": 368.14,
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      "text": "这个什么OpenRoot上的借口",
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    },
    {
      "start": 370.88,
      "end": 371.76,
      "text": "帮他完成了理解",
      "chunk": 0,
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    {
      "start": 371.76,
      "end": 374.78,
      "text": "今天让他自己",
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    {
      "start": 374.78,
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      "text": "去",
      "chunk": 0,
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    },
    {
      "start": 375.94,
      "end": 379.22,
      "text": "把昨天的上下文总结一下",
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      "no_speech_prob": 1.736603395807723e-11,
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    },
    {
      "start": 379.22,
      "end": 380.36,
      "text": "推进开发",
      "chunk": 0,
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      "no_speech_prob": 1.736603395807723e-11,
      "compression_ratio": 1.1655629139072847,
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    },
    {
      "start": 380.36,
      "end": 382.04,
      "text": "看看他能不能把这个任务完成",
      "chunk": 0,
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      "avg_logprob": -0.2338287035624186,
      "no_speech_prob": 1.736603395807723e-11,
      "compression_ratio": 1.1655629139072847,
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    },
    {
      "start": 382.04,
      "end": 384.3,
      "text": "现在已经处理了一分钟四秒",
      "chunk": 0,
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      "no_speech_prob": 1.736603395807723e-11,
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    },
    {
      "start": 384.3,
      "end": 388.12,
      "text": "关于我之前",
      "chunk": 0,
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      "no_speech_prob": 1.736603395807723e-11,
      "compression_ratio": 1.1655629139072847,
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    },
    {
      "start": 388.12,
      "end": 391.12,
      "text": "使用Deepseek",
      "chunk": 0,
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      "no_speech_prob": 1.736603395807723e-11,
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    },
    {
      "start": 391.12,
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      "text": "Visflag或者轻闻3.820GB",
      "chunk": 0,
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      "avg_logprob": -0.2338287035624186,
      "no_speech_prob": 1.736603395807723e-11,
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    },
    {
      "start": 393.04,
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      "text": "科发时候的体验",
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    },
    {
      "start": 394.06,
      "end": 395.4,
      "text": "大家可以看我以往的视频",
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      "no_speech_prob": 1.736603395807723e-11,
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    },
    {
      "start": 395.4,
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      "text": "就是那些视频里",
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    },
    {
      "start": 397.22,
      "end": 398.78,
      "text": "这里面执行一个步骤",
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    },
    {
      "start": 398.78,
      "end": 400.5,
      "text": "花了多长时间都有记录的",
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      "no_speech_prob": 1.736603395807723e-11,
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    },
    {
      "start": 400.5,
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      "text": "就最慢的",
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      "compression_ratio": 1.4382470119521913,
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    },
    {
      "start": 403.46,
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      "text": "像我喷的比较厉害的",
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      "no_speech_prob": 1.4803446662936537e-11,
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    },
    {
      "start": 405.52,
      "end": 406.4,
      "text": "轻文3.8flash",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.16890550271058694,
      "no_speech_prob": 1.4803446662936537e-11,
      "compression_ratio": 1.4382470119521913,
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    },
    {
      "start": 406.4,
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      "text": "跟这个什么",
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      "no_speech_prob": 1.4803446662936537e-11,
      "compression_ratio": 1.4382470119521913,
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    },
    {
      "start": 407.68,
      "end": 411.02,
      "text": "轻文3.820GB本地模型",
      "chunk": 0,
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      "avg_logprob": -0.16890550271058694,
      "no_speech_prob": 1.4803446662936537e-11,
      "compression_ratio": 1.4382470119521913,
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    },
    {
      "start": 411.02,
      "end": 414.64,
      "text": "我都有展示",
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    {
      "start": 414.64,
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      "text": "比如说我展示这个轻文3.8",
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      "no_speech_prob": 1.4803446662936537e-11,
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    },
    {
      "start": 417.64,
      "end": 419.64,
      "text": "这个20GB本地模型",
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      "no_speech_prob": 1.4803446662936537e-11,
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    },
    {
      "start": 419.64,
      "end": 421.42,
      "text": "我同时给了他六个任务",
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    },
    {
      "start": 421.42,
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      "text": "我没有像这样",
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      "start": 422.94,
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      "text": "我给他六个任务都是比这个复杂的",
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      "start": 424.9,
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      "text": "八个都是比这个要严重的多的",
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      "start": 426.38,
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      "text": "我同时给他六个任务",
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      "start": 428.36,
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      "text": "在过往的视频中你们可以翻看",
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      "start": 429.68,
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      "text": "他是花了20分钟给他搞定了",
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      "start": 432.92,
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      "text": "我们看看这一个任务他要花多久",
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      "start": 436.32,
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      "text": "这是我能找到的所有bug中最小的一个",
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      "start": 441.98,
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      "text": "就是说我希望",
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      "start": 445.64,
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      "text": "引用的时候能把这个格式稍微美化一下",
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      "start": 448.54,
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      "text": "然后把这个光标停到下一行",
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      "start": 450.62,
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      "text": "这个就是我的诉求",
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      "start": 453.86,
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      "text": "首先我别的不说在执行时间上面",
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      "start": 458.4,
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      "text": "它肯定是已经落伍了",
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      "start": 459.52,
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      "text": "它三分钟之内是没有办法",
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      "start": 461.54,
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      "text": "把这个问题给解决掉的",
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      "start": 463.1,
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      "text": "它还要推送",
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    {
      "start": 464.66,
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      "text": "推送到我的这个什么",
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      "start": 465.92,
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      "text": "模拟器上",
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    {
      "start": 467.1,
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      "text": "来让我印证",
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      "start": 468.08,
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      "text": "就我用最慢的",
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      "start": 475.96,
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      "text": "我都不要说跟这个什么",
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      "start": 477.04,
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      "text": "DeepSickVisFlash来比了",
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      "start": 479.079,
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      "text": "我就是跟本地最慢的千微3.827B,這個本地模型,我用S接浪驅動的,速度都比他快。",
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      "start": 486.039,
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      "text": "对了我必须说",
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      "start": 489.939,
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      "text": "昨天这个前面",
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      "start": 491.859,
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      "text": "他有一大段理解花了这个九美金",
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      "text": "这个是昨天的",
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      "start": 496.179,
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      "text": "open route上面的",
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      "start": 498.759,
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      "text": "我们看一下额度吧",
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      "start": 503.719,
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      "text": "这个额度消耗还是可以接受的",
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      "start": 507.439,
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      "text": "他只消耗了15%左右",
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      "start": 510.159,
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      "text": "这个还是能够接受的",
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      "text": "比昨天好多了",
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      "text": "昨天有可能这个什么",
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      "start": 515.419,
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      "text": "它是一个新的绘画",
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      "start": 517.559,
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      "text": "就它要理解整个项目",
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      "start": 519.399,
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      "text": "它一下子注入了超长的上下文",
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      "start": 522.699,
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      "text": "直接把我的这个额度干爆了",
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      "start": 524.359,
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      "text": "还有可能就是它这个师徒",
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      "start": 525.559,
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      "text": "本身很贵",
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      "start": 527.919,
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      "text": "它不像deep secret的师徒",
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      "start": 529.119,
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      "text": "deep secret的师徒就是个白菜价",
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      "start": 531.099,
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      "text": "就是你可以把它当作玩具",
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      "start": 533.499,
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      "text": "随便去玩",
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      "start": 534.099,
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      "text": "好像是什么",
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    {
      "start": 537.959,
      "end": 539.519,
      "text": "九张图片一分钱",
      "chunk": 1,
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      "no_speech_prob": 1.4620820179556127e-11,
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      "start": 539.519,
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      "text": "用威斯夫拉奇的师徒模式",
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      "start": 541.419,
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      "text": "消耗了18%",
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    {
      "start": 549.259,
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      "text": "希望他能够完成这个任务吧",
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    {
      "start": 564.479,
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      "text": "他这个推送了吗",
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      "start": 565.599,
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      "text": "没有推松了",
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    {
      "start": 595.599,
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      "text": "我必须要说一下",
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      "start": 608.579,
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      "text": "有的人会说",
      "chunk": 1,
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    {
      "start": 609.739,
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      "text": "哪个哪个主播在什么视频中展示",
      "chunk": 1,
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      "avg_logprob": -0.2102466273952175,
      "no_speech_prob": 1.7163971632871977e-11,
      "compression_ratio": 1.16,
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    {
      "start": 612.199,
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      "text": "一句话让他开发个什么小游戏之类的",
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      "avg_logprob": -0.2102466273952175,
      "no_speech_prob": 1.7163971632871977e-11,
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      "start": 614.779,
      "end": 617.339,
      "text": "我说实话那种开发的难度是很低的",
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    {
      "start": 617.339,
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      "text": "就是你们让Deepseek vs Pro",
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      "start": 619.459,
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      "text": "什么VS Flux去做这样的开发也能做",
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    {
      "start": 622.239,
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      "text": "可能说效果没有这个什么GPT6那么好",
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      "text": "但是你不要看这个论坛APP",
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    {
      "start": 628.199,
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      "text": "只是什么简单的这种内容显示",
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    {
      "start": 630.679,
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      "text": "它的开发难度是比那个什么",
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    {
      "start": 633.319,
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      "text": "比一个简单的小游戏要难得多的",
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      "text": "我们看一看",
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      "start": 638.679,
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      "text": "有没有实现刚才我的要求",
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      "start": 640.739,
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      "text": "好",
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    {
      "start": 645.739,
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      "text": "这个完成得非常好",
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      "text": "这个我必须说",
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    {
      "start": 664.539,
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      "text": "他这个任务执行的这个准确度是很高的",
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      "start": 668.379,
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      "text": "这个必须要承认",
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      "start": 670.339,
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      "text": "就说他起码跟DeepSickVisPro相比",
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    {
      "start": 674.279,
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      "text": "他是处于一个水平",
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      "start": 676.399,
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      "text": "但是我们也知道这个价格",
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      "text": "是不是",
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      "start": 679.619,
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      "text": "你们看到这一个小任务",
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    {
      "start": 681.219,
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      "text": "在之前已经消耗了我九美金额度的情况下",
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    {
      "start": 683.939,
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      "text": "它完成这个小的改动",
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    {
      "start": 686.859,
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      "text": "第一它时间上面",
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    {
      "start": 688.019,
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      "text": "比我这个本地的轻轻3.820Gb",
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    {
      "start": 690.419,
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      "text": "还有慢",
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      "start": 690.779,
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      "text": "第二就是它消耗的这个什么",
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      "text": "额度用量",
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      "start": 696.379,
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      "text": "就干掉了我20%",
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      "start": 697.999,
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      "text": "一周用量干掉了4%",
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    {
      "start": 702.299,
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      "text": "怎么讲呢",
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      "start": 704.619,
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      "text": "我只能说",
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    {
      "start": 705.199,
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      "text": "比我昨天想象的情况要好一点",
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    {
      "start": 707.959,
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      "text": "如果说用这个什么订阅计划的话",
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    {
      "start": 709.839,
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      "text": "它肯定是比调用API要划算的多",
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    {
      "start": 712.299,
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      "text": "我必须要给他平坦",
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    {
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      "text": "就是他没有昨天想象的那么贵",
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    {
      "start": 718.279,
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      "text": "因为昨天我是用API的方式调用的",
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    {
      "start": 720.499,
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      "text": "但是我相信大家通过这个简单的任务对比",
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    {
      "start": 723.679,
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      "text": "你们可以去翻翻看我以往",
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    },
    {
      "start": 725.539,
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      "text": "用这个VSFLAG或者用这个本地",
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    {
      "start": 727.679,
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      "text": "亲吻测试的那些视频",
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    {
      "start": 728.899,
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      "text": "你们去验证一下",
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    {
      "start": 730.879,
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      "text": "是不是啊",
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    {
      "start": 731.319,
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      "text": "我还特别强调过",
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    {
      "start": 732.479,
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      "text": "我同时给六个任务",
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    },
    {
      "start": 733.739,
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      "text": "他二十分钟就完成了",
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    },
    {
      "start": 735.059,
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      "text": "我现在都不敢同时给六个任务给他",
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    {
      "start": 737.959,
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      "text": "同时给六个任务",
      "chunk": 1,
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      "no_speech_prob": 1.6893944576601427e-11,
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    {
      "start": 738.739,
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      "text": "我这个额度就直接被盖完了",
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    {
      "start": 740.999,
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      "text": "我画图就不用画了",
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    {
      "start": 743.419,
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      "text": "就关于很多人说的",
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    {
      "start": 745.519,
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      "text": "说什么V斯福拉西",
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      "no_speech_prob": 1.8631559836612688e-11,
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    {
      "start": 747.039,
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      "text": "或者说是什么本地的亲吻",
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      "no_speech_prob": 1.8631559836612688e-11,
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    {
      "start": 748.679,
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      "text": "3.827B很蠢啊",
      "chunk": 1,
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    {
      "start": 750.859,
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      "text": "怎么怎么样啊",
      "chunk": 1,
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    },
    {
      "start": 751.999,
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      "text": "对此我只能呵呵一笑",
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      "no_speech_prob": 1.8631559836612688e-11,
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    {
      "start": 753.579,
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      "text": "就它能实现的功能",
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    },
    {
      "start": 755.599,
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      "text": "我都是疲量给这个本地的模型",
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      "no_speech_prob": 1.8631559836612688e-11,
      "compression_ratio": 1.3601398601398602,
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    },
    {
      "start": 758.979,
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      "text": "或者给V斯福拉西的",
      "chunk": 1,
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      "no_speech_prob": 1.8631559836612688e-11,
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    {
      "start": 759.999,
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      "text": "就人家也能完成",
      "chunk": 1,
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    {
      "start": 762.519,
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      "text": "是吧",
      "chunk": 1,
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    },
    {
      "start": 764.319,
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      "text": "你可能说效果并不一定",
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    {
      "start": 766.359,
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      "text": "就像它这样一次到位",
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      "text": "我这个是必须要承认的啊",
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      "text": "就他现在这个",
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      "start": 773.219,
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      "text": "回复的这个效果",
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      "start": 774.839,
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      "text": "包括这个什么",
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      "text": "马克当格式的解析",
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      "text": "轻微三点二十几比的时候",
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      "start": 789.539,
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      "text": "他有的时候就这个什么解析会有错误",
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      "text": "尤其是表格什么东西的",
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      "text": "你看威斯福拉西就能把它做得很好",
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      "text": "然后千万3.8它有的时候会有一些小的瑕疵",
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      "text": "虽然它做出来的UI",
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      "text": "很多时候比这个威斯福拉奇要更漂亮",
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      "text": "对于你这个功能",
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      "start": 810.379,
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      "text": "这个判断上对于你这个指令执行的",
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      "start": 812.839,
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      "text": "这个准确性上它是不如威斯福拉奇的",
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      "text": "威斯福拉奇就比威斯普拉奇要差一个档次",
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      "text": "这个刚才由于",
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      "text": "我给它只是一个简单的任务",
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      "text": "但是我必须说它的执行成功率是很高的",
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      "text": "因为昨天我不是给大家展示了",
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    {
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      "text": "它用来写了个什么八卦网页",
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      "text": "什么图记中原堆",
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    {
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      "text": "这个SVG包括薛定尔的猫思想",
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    {
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      "text": "它都是一次性搞定都没有什么硬性的bug",
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    {
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      "text": "虽然它的审美",
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    {
      "start": 836.439,
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      "text": "讲实话也就那样",
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    {
      "start": 837.639,
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      "text": "但是不得不说这个模型的基础能力是很强的",
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    {
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      "text": "然后再加上网络上有大部分人",
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    {
      "start": 843.239,
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      "text": "使用它来测试什么本地电脑软件的操作是吧",
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    {
      "start": 846.159,
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      "text": "这个其实就是另一个话题了",
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    {
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      "text": "我想在新的视频中跟大家来分享",
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    {
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      "text": "我对这件事的看法",
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      "text": "那么这个模型是头部模型是肯定的",
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      "text": "但是你说它强到天上去",
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    {
      "start": 855.539,
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      "text": "这个就真的有点扯淡了",
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      "text": "你跟普罗大众",
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    {
      "start": 858.759,
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      "text": "跟这些普通的大模型执行的任务是差不多的",
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    {
      "start": 861.719,
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      "text": "你是比较优秀",
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    {
      "start": 863.979,
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      "text": "但是你绝对算不上领压式的领先",
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      "no_speech_prob": 2.1181884371501702e-11,
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    {
      "start": 867.019,
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      "text": "最起码对于我们这些普通程序员来说",
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    {
      "start": 869.059,
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      "text": "我很难理解那些",
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    {
      "start": 871.239,
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      "text": "说什么用DeepSeek Vistop那些",
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    {
      "start": 873.179,
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      "text": "用这个什么千万27比开发不了的人",
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      "no_speech_prob": 2.1181884371501702e-11,
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    {
      "start": 875.599,
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      "text": "我不懂他们在开发什么项目",
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      "start": 877.459,
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      "text": "如果大家有什么不同意见",
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    },
    {
      "start": 879.919,
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      "text": "可以到这个论坛发帖交流讨论",
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    },
    {
      "start": 881.919,
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      "text": "好的本期视频就到这里",
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