{
  "text": "论坛的超级版主王池川發帖說Deepseek vc.1flash 0910開始累測了。\n實際上就給了兩天時間啊。他說手特根1.1秒。\n生成速度最高329特根每秒。經過我的長期實測啊。就是長時間的工作的實測。\n這個數字是差不多的啊。是能夠達到的。\n他就說這個模型非常的好用。超級屌。\n问我要不要发一个测试视频\n其实他当时发这个帖子的时候\n我已经在干活了\n而且给他规划了个大任务\n这个Sky Knight说\n好消息就是Flash明天中午降价\n就是今天中午降价了\n但是当时呢\n我是想早一点把这个任务给跑完\n早一点测试\n我也不想省那一点钱\n我当时估计我这个任务\n可能花个50块钱左右就差不多了\n是吧\n你说我省那个\n就是降价一半\n我省个25块钱\n有什么意义呢\n但是呢最终\n还是有点超出我的预料\n他一共花了我多少钱\n他这个任务花了我83块4\n就比我想象的要贵不少\n他消耗这个tokens\n一共是\n13.6亿\ntokens输入\n输出是980k\n那基本上就相当于是\n14亿的这个总tokens消耗\n那我相信在这样的价格下\n尤其是在这个什么\n降价之前\n它能有这样的表现\n我觉得非常的便宜了\n因为降价之后\n它可能说最高能降60%\n我们按照降一半来算的话\n做这个庞大的任务\n也达到了我的预期\n我的心理承受价格是50块钱\n它如果40块钱能完成的话\n那我觉得就非常的划算了\n那这个任务是什么呢\n就我这个论坛\n不是有这个硬件页面吗\n我就想啊\n老是发这个用户的帖子\n就这样展现给大家\n有点太粗糙了\n那么我要给英伟达\nAMD 英特达 苹果\n他们不同的小主机\n不同的芯片\n不同的显卡\n他们AI算力怎么样\n给大家做一个推荐\n归纳总结\n那像这些\n要跟我论坛实测的数据\n跟我实测的这些帖子互动\n进行初步的总结\n总结完了之后\n还把这个比较相关的一些帖子给它列出来\n然后有些更多的一些相关的信息\n是吧\n再把它这个链接到下面来\n像这些tag啊什么东西的是吧\n就直接链到论坛的帖子上来\n那这样的效果就会好很多\n当然我现在在本地\n由于我这个Firefox\n我是限制它不能翻墙的\n那么它可能说显示肯定是有的时候有些问题\n在正常的论坛中是没有问题的\n那做这个工作\n实际上工作量是非常大的\n首先他要从我这个云端\n把这个数据库同步到本地\n在本地完全复兴\n然后他要理解每一个帖子\n因为做这个工作之前\n我要他重新把所有的tag给重新打一遍\n把漏掉的给补上\n像那什么苹果的M4啊\n什么M5他都没有\n那都要给他加上呢\n是吧\n之前很多标签像什么B70\n这些标签都没有的\n都要给他补上\n5080这些\n是吧\n那现在都给他补上了\n包括W7800 7900\n把这些标签重新打一遍\n并且呢\n要他这个接手\n赫米斯以后的工作\n就是为\n可能说以后\n我要全面转换到\nDeepseek Harness上来\n要提前做准备\n所以说整个论坛呢\n所有帖子让他通读\n规则让他通读\n就赫米斯是怎么管理这个论坛的\n要他准备接手\n那总体上这个工作量\n还是比较大的\n毕竟消耗了那么多tocons\n但是他执行任务的时候\n我感觉他的优点就非常的明显\n你说能不能平替Deepseek with Pro\n我觉得可能要稍微差一点意思\n但是基本上能够替代\n就他的这个常列任务的规划能力\n是非常强的\n一共是生成了65个页面\n这里面还包含了大量的\n在线的教验\n我要求他每一条数据\n一定要与官方数据\n与这个维基百科的数据进行\n校验之后\n才能采用\n这本身就涉及到很多网络查询的一些工作\n是吧\n还有一些图片识别\n当然了\n它这个图片识别\n我必须要说\n它比起GPT5\n或者比起GPT6自带的那个图片识别\n我觉得要差远了\n因为它本身不能深土\n就有的时候\n它找到的图片不好的话\n它实际上自己是看不大出来的\n像这种图片\n说实话\n其实是非常垃圾的\n但是如果用GPT来搞的话\n他可能说\n自己就直接画一个图\n也是比较准的\n但是我们也要说\n毕竟我消耗了14亿推肯子\n如果说是用GPT6的价格\n我现在已经破产了\n哪怕用GPT5.64我也扛不住\n可能说用Tera能把我的信用卡刷爆\n我不至于破产\n另外一个优点\n我们必须说\n它搭配自家的Hanis干活\n是相当的爽的\n你看\n手推肯平均是1.7秒\n平均Token是385Token每秒\n一共跌到了183轮2832步\n缓存命中率99.8%\n是吧\n输入13.6兆Token\n输出980GToken\n我说实话\n这个数据是相当的漂亮的\n第一是缓存命中率达到了99.8%\n绝大部分Token都是用白菜价来计算的\n你换其他任何的AI\n这个价格里都扛不住\n然后183轮\n是吧\n2800多部的迭代\n我相信这个任务还是相当相当的强大的\n这是一个比较复杂的任务\n他还是最终准确的交货了\n虽然过程中有些图片\n找的不太好\n讲实话我不太满意\n然后我又自己找了一些图片来替代他\n就因为这个被我骂的像狗一样\n但是凭良性讲\n他总体上任务完成的还是相当漂亮的\n答案呢具体怎么样\n还要把它再放到网上面\n再让大家这个什么参考的时候\n大家去核对\n因为我自己没有时间去核对这么多数据\n那他本次任务中还有一个比较重大的缺陷\n刚才我忘记说了\n是什么呢\n就是任务开始的时候\n我明确跟他讲了\n你还是要自己当监工\n你把主要的干脏活的事情交给这个subagent\n这个subagent用什么来驱动呢\n用这个轻轻3.827B\nIWQDFLUSHR这个模型\n就是我本地的S接浪驱动的模型\n用它来搞\n而且我这个模型里给它放什么\n三四个绘画四五个绘画\n它是完全没有问题的\n我有信心是因为什么\n因为这个DeepSickHarness\n已经更进到了1.2这支版\n好像是这样啊\n它已经不是什么α或者说是β版本了\n早些我用RCR的版本的时候\n它工作都是正常的\n那么现在我想它这个什么Subagent的能力应该是得到了比较大幅的提升\n结果证明它的Subagent还是一座狗屎\n就跟以前RC版本的时候没有任何区别\n当然我也不得不说像什么Hemex也好Codex也好\n他们的Subagent都是狗屎\n做的都不好\n可能说只有Cloud Code他们的Subagent做的比较好\n那你说在这种情况下应该怎么搞呢\n就是根据我之前用DeepSync的经验\n就是你要把你的任务\n分拆为不同的阶段\n每个阶段让他不同的agent\n通过同一个目录来沟通\n给这些目录上锁上队列\n让他们排队\n相互来教应相互来协作\n那么这个效率是比较高的\n他就可以怎么讲\n把大部分的tokens给省下来\n毕竟这种大活不是每天都有的\n就算每天都有\n一个月也就一千多块钱\n这个钱要不要省\n就见仁见智\n因为什么呢\n这个千万3.827比亚\n他做这种任务\n他做任务的能力\n你看包括他修复字幕\n我说实话\n他的能力是非常非常强的\n就虽然他的支持库很小\n但是他积极的上网去搜索\n是吧\n完成任务的质量是非常高的\n完全部署给Dips一个威斯典一\n之前我长期用这个VS Flush\n来修字幕的时候\n我感觉他并不比这个什么\n轻微3.827比要强什么\n就是他这个编码也是编程\n他修复这个论坛的插件\n包括说修复APP的一些小bug\n他都不插\n他唯一插的地方\n就是他的常设下人不行\n他干不了常任任务\n就你如果要他执行一个复杂的任务\n必须要给他拆解到位\n然后监工的话\n就像这个什么\nV4.1\n或者说V4.1\n来监工\n这个模型它是个多摩泰模型\n昨天\n你看我发这些东西给他\n他都看得懂的\n图片他还是看得懂的\n他这个多摩泰模型\n这个价格的话\n包括他这个响应速度\n还有他的这个\n长年任务规划\n我觉得是比V4.1要更好的\n这个模型如果说测试通过上线的话\n我觉得Deepseek就短期内\n没有必要再折腾VisPro了\n可以把VisPro给下架了\nVisPro我感觉啊\n就是我个人的体感\n这个东西是比较玄乎的\n它没有什么硬性的数据来证实啊\n就是因为之前我用这个什么\nVisPro来开发是自动剪辑器\n视频的自动生成器\n自动剪辑器\n它也是迭代了将近200轮\n还200多轮\n3000多\n我感觉\n怎么讲\n它的这个常任务的表现\n还是比这个V4.1\n弗拉西要好一点点的\n这个感觉就非常的主观了\n但是最终都是完成的任务嘛\n那个任务的难度我认为\n要稍高一点点\n总之呢这个Deepseek\nV4弗拉西它降价之后\n尤其是它后期如果很快能够\n推出V4.1弗拉西\n我觉得大家真的就没有必要去折腾\n什么其他的一些\n什么coding plan\n或者说去折腾其他的AI了\n短时间之内\n这个劳良又变成了梁子\n甚至呢这个马上又有可能\n这个变成良盛\n这个是有可能的\nDeepseek现在用起来还是非常的像\n今天这个高分级过去\n等夜间\n我让这个什么\nDeepseek Harness\n把我这个本地的\n这些tags\n本地的这些什么页面\n都给他同步到云端\n大家明天就可以在手机和电脑上\n去看到这些东西了\n自己去看一下\n帮我这个检查一下\n看看里面有没有什么重大的错漏\n小毛病就自己发帖\n到这个什么论坛中发帖来提就行了\n千万不要给我发私信\n好吧\n跟大家交流一下\n就是说\n欢迎大家来这个论坛发帖交流讨论\n但是要有点功德性\n要遵守秩序\n论坛因为有各位的\n有价值的这些帖子\n我们才会变得越来越好\n是不是\n像这种帖子\n图文并报\n自己愿意去尝试新的东西\n然后尝试完之后\n分享给大家\n实际上他的帖子\n影响了好几个人\n我们论坛的大神\n有好几个人都发了帖子\n都测试了\n非常的好\n非常的感谢他\n就不要学这种\n毫无功德性的人\n什么证明功行都不做\n就知道在那算\n让我看到一次骂一次\n还被封号是吧\n好吧 本期视频就到这里\n我们下期再见",
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      "start": 0.0,
      "end": 7.0,
      "text": "论坛的超级版主王池川發帖說Deepseek vc.1flash 0910開始累測了。",
      "chunk": 0,
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      "end": 11.0,
      "text": "實際上就給了兩天時間啊。他說手特根1.1秒。",
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      "start": 11.0,
      "end": 17.0,
      "text": "生成速度最高329特根每秒。經過我的長期實測啊。就是長時間的工作的實測。",
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      "language": "zh",
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      "start": 17.0,
      "end": 21.0,
      "text": "這個數字是差不多的啊。是能夠達到的。",
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      "start": 21.0,
      "end": 25.0,
      "text": "他就說這個模型非常的好用。超級屌。",
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    {
      "start": 25.0,
      "end": 28.02,
      "text": "问我要不要发一个测试视频",
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      "start": 28.02,
      "end": 30.38,
      "text": "其实他当时发这个帖子的时候",
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      "start": 30.38,
      "end": 31.56,
      "text": "我已经在干活了",
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      "start": 31.56,
      "end": 33.0,
      "text": "而且给他规划了个大任务",
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      "start": 33.0,
      "end": 35.94,
      "text": "这个Sky Knight说",
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      "start": 35.94,
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      "text": "好消息就是Flash明天中午降价",
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      "start": 39.86,
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      "text": "就是今天中午降价了",
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      "start": 41.0,
      "end": 42.96,
      "text": "但是当时呢",
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      "start": 42.96,
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      "text": "我是想早一点把这个任务给跑完",
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      "start": 45.26,
      "end": 46.26,
      "text": "早一点测试",
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      "start": 46.26,
      "end": 47.86,
      "text": "我也不想省那一点钱",
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      "start": 47.86,
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      "text": "我当时估计我这个任务",
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      "start": 49.38,
      "end": 51.08,
      "text": "可能花个50块钱左右就差不多了",
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      "start": 51.08,
      "end": 51.86,
      "text": "是吧",
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      "start": 51.86,
      "end": 52.6,
      "text": "你说我省那个",
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    {
      "start": 52.6,
      "end": 53.78,
      "text": "就是降价一半",
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      "start": 53.78,
      "end": 54.58,
      "text": "我省个25块钱",
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    {
      "start": 54.58,
      "end": 55.52,
      "text": "有什么意义呢",
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    {
      "start": 55.52,
      "end": 58.1,
      "text": "但是呢最终",
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    {
      "start": 58.1,
      "end": 59.8,
      "text": "还是有点超出我的预料",
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    {
      "start": 59.8,
      "end": 61.54,
      "text": "他一共花了我多少钱",
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    {
      "start": 61.54,
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      "text": "他这个任务花了我83块4",
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    {
      "start": 63.96,
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      "text": "就比我想象的要贵不少",
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    {
      "start": 66.28,
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      "text": "他消耗这个tokens",
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      "start": 68.78,
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      "text": "一共是",
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    {
      "start": 70.88,
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      "text": "13.6亿",
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    {
      "start": 74.18,
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      "text": "tokens输入",
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    {
      "start": 75.38,
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      "text": "输出是980k",
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    {
      "start": 77.6,
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      "text": "那基本上就相当于是",
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    {
      "start": 79.58,
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      "text": "14亿的这个总tokens消耗",
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    {
      "start": 81.5,
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      "text": "那我相信在这样的价格下",
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    {
      "start": 83.98,
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      "text": "尤其是在这个什么",
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    {
      "start": 85.64,
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      "text": "降价之前",
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    {
      "start": 88.52,
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      "text": "它能有这样的表现",
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    {
      "start": 89.86,
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      "text": "我觉得非常的便宜了",
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    {
      "start": 91.12,
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      "text": "因为降价之后",
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    {
      "start": 92.14,
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      "text": "它可能说最高能降60%",
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    {
      "start": 93.62,
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      "text": "我们按照降一半来算的话",
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    {
      "start": 95.26,
      "end": 96.64,
      "text": "做这个庞大的任务",
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    {
      "start": 96.64,
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      "text": "也达到了我的预期",
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    {
      "start": 98.18,
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      "text": "我的心理承受价格是50块钱",
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    {
      "start": 99.96,
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      "text": "它如果40块钱能完成的话",
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    {
      "start": 101.56,
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      "text": "那我觉得就非常的划算了",
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    {
      "start": 103.24,
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      "text": "那这个任务是什么呢",
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    {
      "start": 105.7,
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      "text": "就我这个论坛",
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    {
      "start": 107.46,
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      "text": "不是有这个硬件页面吗",
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    {
      "start": 110.14,
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      "text": "我就想啊",
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    {
      "start": 112.2,
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      "text": "老是发这个用户的帖子",
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    {
      "start": 115.64,
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      "text": "就这样展现给大家",
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    {
      "start": 116.68,
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      "text": "有点太粗糙了",
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    {
      "start": 117.64,
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      "text": "那么我要给英伟达",
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    {
      "start": 119.38,
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      "text": "AMD 英特达 苹果",
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    {
      "start": 120.64,
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      "text": "他们不同的小主机",
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    {
      "start": 122.74,
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      "text": "不同的芯片",
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    {
      "start": 123.62,
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      "text": "不同的显卡",
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    {
      "start": 124.3,
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      "text": "他们AI算力怎么样",
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    {
      "start": 126.64,
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      "text": "给大家做一个推荐",
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    {
      "start": 128.2,
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      "text": "归纳总结",
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    {
      "start": 129.38,
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      "text": "那像这些",
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    {
      "start": 132.08,
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      "text": "要跟我论坛实测的数据",
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    {
      "start": 135.02,
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      "text": "跟我实测的这些帖子互动",
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    {
      "start": 136.84,
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      "text": "进行初步的总结",
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    {
      "start": 138.52,
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      "text": "总结完了之后",
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    {
      "start": 140.92,
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      "text": "还把这个比较相关的一些帖子给它列出来",
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    {
      "start": 143.8,
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      "text": "然后有些更多的一些相关的信息",
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    {
      "start": 146.72,
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      "text": "是吧",
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    {
      "start": 147.02,
      "end": 150.6,
      "text": "再把它这个链接到下面来",
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    {
      "start": 150.6,
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      "text": "像这些tag啊什么东西的是吧",
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    {
      "start": 152.76,
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      "text": "就直接链到论坛的帖子上来",
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    {
      "start": 155.1,
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      "text": "那这样的效果就会好很多",
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    {
      "start": 157.26,
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      "text": "当然我现在在本地",
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    {
      "start": 159.58,
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      "text": "由于我这个Firefox",
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    {
      "start": 161.3,
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      "text": "我是限制它不能翻墙的",
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    {
      "start": 165.24,
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      "text": "那么它可能说显示肯定是有的时候有些问题",
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    {
      "start": 167.68,
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      "text": "在正常的论坛中是没有问题的",
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    {
      "start": 171.64,
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      "text": "那做这个工作",
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    {
      "start": 172.9,
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      "text": "实际上工作量是非常大的",
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    {
      "start": 174.16,
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      "text": "首先他要从我这个云端",
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    {
      "start": 176.58,
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      "text": "把这个数据库同步到本地",
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    {
      "start": 178.5,
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      "text": "在本地完全复兴",
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    {
      "start": 179.72,
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      "text": "然后他要理解每一个帖子",
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    {
      "start": 182.62,
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      "text": "因为做这个工作之前",
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    {
      "start": 183.82,
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      "text": "我要他重新把所有的tag给重新打一遍",
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    {
      "start": 186.46,
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      "text": "把漏掉的给补上",
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    {
      "start": 187.74,
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      "text": "像那什么苹果的M4啊",
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    {
      "start": 189.9,
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      "text": "什么M5他都没有",
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    {
      "start": 191.44,
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      "text": "那都要给他加上呢",
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      "text": "之前很多标签像什么B70",
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      "start": 196.96,
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      "text": "这些标签都没有的",
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      "start": 198.38,
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      "text": "都要给他补上",
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      "start": 199.76,
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      "text": "5080这些",
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      "text": "是吧",
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      "start": 202.68,
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      "text": "那现在都给他补上了",
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      "start": 205.04,
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      "text": "包括W7800 7900",
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      "start": 206.32,
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      "text": "把这些标签重新打一遍",
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      "start": 210.2,
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      "text": "并且呢",
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    {
      "start": 211.18,
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      "text": "要他这个接手",
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    {
      "start": 213.04,
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      "text": "赫米斯以后的工作",
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      "start": 214.4,
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      "text": "就是为",
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      "start": 215.02,
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      "text": "可能说以后",
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    {
      "start": 216.0,
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      "text": "我要全面转换到",
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    {
      "start": 217.16,
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      "text": "Deepseek Harness上来",
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    {
      "start": 218.12,
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      "text": "要提前做准备",
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      "start": 220.16,
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      "text": "所以说整个论坛呢",
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    {
      "start": 221.32,
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      "text": "所有帖子让他通读",
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    {
      "start": 222.64,
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      "text": "规则让他通读",
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      "start": 223.48,
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      "text": "就赫米斯是怎么管理这个论坛的",
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      "start": 226.38,
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      "text": "要他准备接手",
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    {
      "start": 228.2,
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      "text": "那总体上这个工作量",
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      "start": 230.36,
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      "text": "还是比较大的",
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      "start": 232.02,
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      "text": "毕竟消耗了那么多tocons",
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      "start": 233.14,
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      "text": "但是他执行任务的时候",
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      "start": 235.48,
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      "text": "我感觉他的优点就非常的明显",
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      "start": 236.98,
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      "text": "你说能不能平替Deepseek with Pro",
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      "start": 239.38,
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      "text": "我觉得可能要稍微差一点意思",
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      "start": 241.54,
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      "text": "但是基本上能够替代",
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      "start": 243.0,
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      "text": "就他的这个常列任务的规划能力",
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    {
      "start": 245.9,
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      "text": "是非常强的",
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    {
      "start": 247.1,
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      "text": "一共是生成了65个页面",
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    {
      "start": 250.02,
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      "text": "这里面还包含了大量的",
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    {
      "start": 253.18,
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      "text": "在线的教验",
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      "start": 254.08,
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      "text": "我要求他每一条数据",
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    {
      "start": 255.28,
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      "text": "一定要与官方数据",
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    {
      "start": 256.92,
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      "text": "与这个维基百科的数据进行",
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    {
      "start": 259.04,
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      "text": "校验之后",
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    {
      "start": 260.06,
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      "text": "才能采用",
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    {
      "start": 261.24,
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      "text": "这本身就涉及到很多网络查询的一些工作",
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    {
      "start": 264.8,
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      "text": "是吧",
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    {
      "start": 266.28,
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      "text": "还有一些图片识别",
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    {
      "start": 267.32,
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      "text": "当然了",
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      "start": 268.22,
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      "text": "它这个图片识别",
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    {
      "start": 268.96,
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      "text": "我必须要说",
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      "text": "它比起GPT5",
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      "start": 271.38,
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      "text": "或者比起GPT6自带的那个图片识别",
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      "start": 273.5,
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      "text": "我觉得要差远了",
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      "start": 274.76,
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      "text": "因为它本身不能深土",
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      "start": 277.14,
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      "text": "就有的时候",
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      "start": 278.06,
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      "text": "它找到的图片不好的话",
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    {
      "start": 279.22,
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      "text": "它实际上自己是看不大出来的",
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      "start": 281.62,
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      "text": "像这种图片",
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    {
      "start": 282.6,
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      "text": "说实话",
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    {
      "start": 283.32,
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      "text": "其实是非常垃圾的",
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    {
      "start": 284.46,
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      "text": "但是如果用GPT来搞的话",
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      "start": 287.0,
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      "text": "他可能说",
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    {
      "start": 287.64,
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      "text": "自己就直接画一个图",
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    {
      "start": 289.4,
      "end": 290.66,
      "text": "也是比较准的",
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      "start": 290.66,
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      "text": "但是我们也要说",
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    {
      "start": 293.2,
      "end": 294.74,
      "text": "毕竟我消耗了14亿推肯子",
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      "start": 294.74,
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      "text": "如果说是用GPT6的价格",
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    {
      "start": 296.56,
      "end": 297.86,
      "text": "我现在已经破产了",
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    {
      "start": 297.86,
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      "text": "哪怕用GPT5.64我也扛不住",
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    {
      "start": 300.58,
      "end": 303.14,
      "text": "可能说用Tera能把我的信用卡刷爆",
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      "start": 303.14,
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      "text": "我不至于破产",
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    {
      "start": 304.28,
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      "text": "另外一个优点",
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    {
      "start": 305.78,
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      "text": "我们必须说",
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    {
      "start": 306.4,
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      "text": "它搭配自家的Hanis干活",
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    {
      "start": 308.04,
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      "text": "是相当的爽的",
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      "start": 309.8,
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      "text": "你看",
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    {
      "start": 310.06,
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      "text": "手推肯平均是1.7秒",
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      "no_speech_prob": 2.1871901859094045e-11,
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    {
      "start": 312.18,
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      "text": "平均Token是385Token每秒",
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      "avg_logprob": -0.18331325681586014,
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    {
      "start": 315.08,
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      "text": "一共跌到了183轮2832步",
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      "no_speech_prob": 1.433291072633347e-11,
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    {
      "start": 318.44,
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      "text": "缓存命中率99.8%",
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    {
      "start": 321.26,
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      "text": "是吧",
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    {
      "start": 322.18,
      "end": 324.22,
      "text": "输入13.6兆Token",
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      "no_speech_prob": 1.433291072633347e-11,
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    {
      "start": 324.22,
      "end": 325.96,
      "text": "输出980GToken",
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    {
      "start": 325.96,
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      "text": "我说实话",
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    {
      "start": 327.68,
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      "text": "这个数据是相当的漂亮的",
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    {
      "start": 329.86,
      "end": 332.12,
      "text": "第一是缓存命中率达到了99.8%",
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      "no_speech_prob": 1.433291072633347e-11,
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    {
      "start": 332.12,
      "end": 335.18,
      "text": "绝大部分Token都是用白菜价来计算的",
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    {
      "start": 335.18,
      "end": 337.08,
      "text": "你换其他任何的AI",
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    {
      "start": 337.08,
      "end": 338.7,
      "text": "这个价格里都扛不住",
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    {
      "start": 338.7,
      "end": 341.52,
      "text": "然后183轮",
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    {
      "start": 341.52,
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      "text": "是吧",
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    {
      "start": 343.1,
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      "text": "2800多部的迭代",
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    {
      "start": 344.84,
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      "text": "我相信这个任务还是相当相当的强大的",
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    {
      "start": 347.52,
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      "text": "这是一个比较复杂的任务",
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    {
      "start": 350.42,
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      "text": "他还是最终准确的交货了",
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    {
      "start": 354.28,
      "end": 356.3,
      "text": "虽然过程中有些图片",
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    {
      "start": 356.3,
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      "text": "找的不太好",
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    {
      "start": 357.48,
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      "text": "讲实话我不太满意",
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    {
      "start": 359.2,
      "end": 362.02,
      "text": "然后我又自己找了一些图片来替代他",
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    {
      "start": 362.02,
      "end": 364.2,
      "text": "就因为这个被我骂的像狗一样",
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    {
      "start": 364.2,
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      "text": "但是凭良性讲",
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    {
      "start": 365.7,
      "end": 368.52,
      "text": "他总体上任务完成的还是相当漂亮的",
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    {
      "start": 371.52,
      "end": 374.16,
      "text": "答案呢具体怎么样",
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    {
      "start": 374.16,
      "end": 375.92,
      "text": "还要把它再放到网上面",
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    {
      "start": 375.92,
      "end": 379.46,
      "text": "再让大家这个什么参考的时候",
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    {
      "start": 379.46,
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      "text": "大家去核对",
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    {
      "start": 380.34,
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      "text": "因为我自己没有时间去核对这么多数据",
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    {
      "start": 382.86,
      "end": 387.54,
      "text": "那他本次任务中还有一个比较重大的缺陷",
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    {
      "start": 387.54,
      "end": 388.72,
      "text": "刚才我忘记说了",
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    {
      "start": 388.72,
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      "text": "是什么呢",
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    {
      "start": 389.76,
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      "text": "就是任务开始的时候",
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    {
      "start": 391.54,
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      "text": "我明确跟他讲了",
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    {
      "start": 392.62,
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      "text": "你还是要自己当监工",
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    {
      "start": 395.5,
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      "text": "你把主要的干脏活的事情交给这个subagent",
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    {
      "start": 398.66,
      "end": 401.12,
      "text": "这个subagent用什么来驱动呢",
      "chunk": 0,
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    {
      "start": 401.12,
      "end": 403.0,
      "text": "用这个轻轻3.827B",
      "chunk": 0,
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      "avg_logprob": -0.3338959033672626,
      "no_speech_prob": 2.6260429594748835e-11,
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    {
      "start": 403.32,
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      "text": "IWQDFLUSHR这个模型",
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    {
      "start": 405.52,
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      "text": "就是我本地的S接浪驱动的模型",
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    {
      "start": 408.52,
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      "text": "用它来搞",
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    {
      "start": 410.12,
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      "text": "而且我这个模型里给它放什么",
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    {
      "start": 413.08,
      "end": 414.44,
      "text": "三四个绘画四五个绘画",
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      "avg_logprob": -0.3338959033672626,
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    {
      "start": 414.44,
      "end": 415.64,
      "text": "它是完全没有问题的",
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    {
      "start": 416.88,
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      "text": "我有信心是因为什么",
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    {
      "start": 417.88,
      "end": 419.04,
      "text": "因为这个DeepSickHarness",
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    {
      "start": 419.04,
      "end": 420.72,
      "text": "已经更进到了1.2这支版",
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    {
      "start": 421.52,
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      "text": "好像是这样啊",
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    {
      "start": 423.0,
      "end": 426.24,
      "text": "它已经不是什么α或者说是β版本了",
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    {
      "start": 426.64,
      "end": 428.36,
      "text": "早些我用RCR的版本的时候",
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      "no_speech_prob": 2.6260429594748835e-11,
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    {
      "start": 428.36,
      "end": 429.48,
      "text": "它工作都是正常的",
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    {
      "start": 429.48,
      "end": 433.68,
      "text": "那么现在我想它这个什么Subagent的能力应该是得到了比较大幅的提升",
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    {
      "start": 433.68,
      "end": 435.96,
      "text": "结果证明它的Subagent还是一座狗屎",
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      "no_speech_prob": 2.4382549798640518e-11,
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    {
      "start": 435.96,
      "end": 439.38,
      "text": "就跟以前RC版本的时候没有任何区别",
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    {
      "start": 439.38,
      "end": 443.28,
      "text": "当然我也不得不说像什么Hemex也好Codex也好",
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    {
      "start": 443.28,
      "end": 444.58,
      "text": "他们的Subagent都是狗屎",
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    {
      "start": 444.58,
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      "text": "做的都不好",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.18650497032317104,
      "no_speech_prob": 2.4382549798640518e-11,
      "compression_ratio": 1.3024691358024691
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    {
      "start": 445.9,
      "end": 449.38,
      "text": "可能说只有Cloud Code他们的Subagent做的比较好",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.18650497032317104,
      "no_speech_prob": 2.4382549798640518e-11,
      "compression_ratio": 1.3024691358024691
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    {
      "start": 449.38,
      "end": 455.26,
      "text": "那你说在这种情况下应该怎么搞呢",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.18650497032317104,
      "no_speech_prob": 2.4382549798640518e-11,
      "compression_ratio": 1.3024691358024691
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    {
      "start": 455.26,
      "end": 456.92,
      "text": "就是根据我之前用DeepSync的经验",
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      "avg_logprob": -0.18650497032317104,
      "no_speech_prob": 2.4382549798640518e-11,
      "compression_ratio": 1.3024691358024691
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    {
      "start": 456.92,
      "end": 460.92,
      "text": "就是你要把你的任务",
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      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
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    {
      "start": 460.92,
      "end": 462.54,
      "text": "分拆为不同的阶段",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
    },
    {
      "start": 462.54,
      "end": 466.58,
      "text": "每个阶段让他不同的agent",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
    },
    {
      "start": 466.58,
      "end": 469.54,
      "text": "通过同一个目录来沟通",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
    },
    {
      "start": 469.54,
      "end": 472.44,
      "text": "给这些目录上锁上队列",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
    },
    {
      "start": 472.44,
      "end": 473.92,
      "text": "让他们排队",
      "chunk": 0,
      "language": "zh",
      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
    },
    {
      "start": 473.92,
      "end": 477.8,
      "text": "相互来教应相互来协作",
      "chunk": 0,
      "language": "zh",
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      "no_speech_prob": 1.166479846742563e-11,
      "compression_ratio": 1.2276785714285714
    },
    {
      "start": 477.8,
      "end": 479.62,
      "text": "那么这个效率是比较高的",
      "chunk": 0,
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      "no_speech_prob": 1.166479846742563e-11,
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    {
      "start": 479.62,
      "end": 481.2,
      "text": "他就可以怎么讲",
      "chunk": 0,
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    },
    {
      "start": 481.2,
      "end": 483.16,
      "text": "把大部分的tokens给省下来",
      "chunk": 0,
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      "avg_logprob": -0.16941300753889413,
      "no_speech_prob": 1.166479846742563e-11,
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    {
      "start": 495.923,
      "end": 499.563,
      "text": "毕竟这种大活不是每天都有的",
      "chunk": 1,
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    {
      "start": 499.563,
      "end": 501.083,
      "text": "就算每天都有",
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    },
    {
      "start": 501.083,
      "end": 502.943,
      "text": "一个月也就一千多块钱",
      "chunk": 1,
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      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
      "compression_ratio": 1.3708609271523178
    },
    {
      "start": 502.943,
      "end": 503.963,
      "text": "这个钱要不要省",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
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    {
      "start": 503.963,
      "end": 505.003,
      "text": "就见仁见智",
      "chunk": 1,
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      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
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    {
      "start": 505.003,
      "end": 508.263,
      "text": "因为什么呢",
      "chunk": 1,
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      "no_speech_prob": 1.975890284722226e-11,
      "compression_ratio": 1.3708609271523178
    },
    {
      "start": 508.263,
      "end": 509.763,
      "text": "这个千万3.827比亚",
      "chunk": 1,
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      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
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    {
      "start": 509.763,
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      "text": "他做这种任务",
      "chunk": 1,
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    {
      "start": 511.003,
      "end": 512.323,
      "text": "他做任务的能力",
      "chunk": 1,
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      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
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    {
      "start": 512.323,
      "end": 514.043,
      "text": "你看包括他修复字幕",
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    {
      "start": 514.043,
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      "text": "我说实话",
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    },
    {
      "start": 515.123,
      "end": 516.863,
      "text": "他的能力是非常非常强的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
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    },
    {
      "start": 516.863,
      "end": 518.383,
      "text": "就虽然他的支持库很小",
      "chunk": 1,
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      "no_speech_prob": 1.975890284722226e-11,
      "compression_ratio": 1.3708609271523178
    },
    {
      "start": 518.383,
      "end": 521.103,
      "text": "但是他积极的上网去搜索",
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    {
      "start": 521.103,
      "end": 521.843,
      "text": "是吧",
      "chunk": 1,
      "language": "zh",
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    {
      "start": 521.843,
      "end": 523.203,
      "text": "完成任务的质量是非常高的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
      "compression_ratio": 1.3708609271523178
    },
    {
      "start": 523.203,
      "end": 525.323,
      "text": "完全部署给Dips一个威斯典一",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.20140495513404547,
      "no_speech_prob": 1.975890284722226e-11,
      "compression_ratio": 1.3708609271523178
    },
    {
      "start": 525.323,
      "end": 529.863,
      "text": "之前我长期用这个VS Flush",
      "chunk": 1,
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      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
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    {
      "start": 529.863,
      "end": 531.143,
      "text": "来修字幕的时候",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
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    {
      "start": 531.143,
      "end": 532.923,
      "text": "我感觉他并不比这个什么",
      "chunk": 1,
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      "no_speech_prob": 1.4861958885781235e-11,
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    {
      "start": 532.923,
      "end": 534.963,
      "text": "轻微3.827比要强什么",
      "chunk": 1,
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      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
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    },
    {
      "start": 534.963,
      "end": 538.003,
      "text": "就是他这个编码也是编程",
      "chunk": 1,
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      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
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    },
    {
      "start": 538.003,
      "end": 539.903,
      "text": "他修复这个论坛的插件",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
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    },
    {
      "start": 539.903,
      "end": 541.863,
      "text": "包括说修复APP的一些小bug",
      "chunk": 1,
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      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
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    {
      "start": 541.863,
      "end": 542.383,
      "text": "他都不插",
      "chunk": 1,
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      "no_speech_prob": 1.4861958885781235e-11,
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    {
      "start": 542.383,
      "end": 543.563,
      "text": "他唯一插的地方",
      "chunk": 1,
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      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
      "compression_ratio": 1.2958199356913183
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    {
      "start": 543.563,
      "end": 544.663,
      "text": "就是他的常设下人不行",
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      "compression_ratio": 1.2958199356913183
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    {
      "start": 544.663,
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      "text": "他干不了常任任务",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18876863080401754,
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      "compression_ratio": 1.2958199356913183
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    {
      "start": 547.063,
      "end": 548.943,
      "text": "就你如果要他执行一个复杂的任务",
      "chunk": 1,
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      "no_speech_prob": 1.4861958885781235e-11,
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    },
    {
      "start": 548.943,
      "end": 550.383,
      "text": "必须要给他拆解到位",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18876863080401754,
      "no_speech_prob": 1.4861958885781235e-11,
      "compression_ratio": 1.2958199356913183
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    {
      "start": 550.383,
      "end": 552.363,
      "text": "然后监工的话",
      "chunk": 1,
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      "no_speech_prob": 1.4861958885781235e-11,
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    {
      "start": 552.363,
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      "text": "就像这个什么",
      "chunk": 1,
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    {
      "start": 554.043,
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      "text": "V4.1",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
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    {
      "start": 556.463,
      "end": 558.403,
      "text": "或者说V4.1",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
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    {
      "start": 558.403,
      "end": 559.543,
      "text": "来监工",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 559.543,
      "end": 563.783,
      "text": "这个模型它是个多摩泰模型",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
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    {
      "start": 563.783,
      "end": 564.523,
      "text": "昨天",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 564.523,
      "end": 566.763,
      "text": "你看我发这些东西给他",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 566.763,
      "end": 567.943,
      "text": "他都看得懂的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
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    },
    {
      "start": 567.943,
      "end": 570.103,
      "text": "图片他还是看得懂的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 570.103,
      "end": 571.403,
      "text": "他这个多摩泰模型",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 571.403,
      "end": 576.043,
      "text": "这个价格的话",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 576.043,
      "end": 577.543,
      "text": "包括他这个响应速度",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 577.543,
      "end": 579.723,
      "text": "还有他的这个",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
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    {
      "start": 579.723,
      "end": 580.623,
      "text": "长年任务规划",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 580.623,
      "end": 582.183,
      "text": "我觉得是比V4.1要更好的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.23015055318517008,
      "no_speech_prob": 2.062511446354609e-11,
      "compression_ratio": 1.354368932038835
    },
    {
      "start": 582.183,
      "end": 586.423,
      "text": "这个模型如果说测试通过上线的话",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.12505067628005456,
      "no_speech_prob": 1.7034634119950098e-11,
      "compression_ratio": 1.3051948051948052
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    {
      "start": 586.423,
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      "text": "我觉得Deepseek就短期内",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.12505067628005456,
      "no_speech_prob": 1.7034634119950098e-11,
      "compression_ratio": 1.3051948051948052
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    {
      "start": 588.223,
      "end": 589.583,
      "text": "没有必要再折腾VisPro了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.12505067628005456,
      "no_speech_prob": 1.7034634119950098e-11,
      "compression_ratio": 1.3051948051948052
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    {
      "start": 589.583,
      "end": 590.823,
      "text": "可以把VisPro给下架了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.12505067628005456,
      "no_speech_prob": 1.7034634119950098e-11,
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    {
      "start": 590.823,
      "end": 595.743,
      "text": "VisPro我感觉啊",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.12505067628005456,
      "no_speech_prob": 1.7034634119950098e-11,
      "compression_ratio": 1.3051948051948052
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    {
      "start": 595.743,
      "end": 596.683,
      "text": "就是我个人的体感",
      "chunk": 1,
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      "start": 596.683,
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      "text": "这个东西是比较玄乎的",
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    {
      "start": 598.103,
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      "text": "它没有什么硬性的数据来证实啊",
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      "text": "就是因为之前我用这个什么",
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      "text": "VisPro来开发是自动剪辑器",
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      "start": 604.523,
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      "text": "视频的自动生成器",
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    {
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      "text": "自动剪辑器",
      "chunk": 1,
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    {
      "start": 606.043,
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      "text": "它也是迭代了将近200轮",
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      "start": 607.923,
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      "text": "还200多轮",
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      "start": 610.503,
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      "text": "3000多",
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      "start": 611.103,
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      "text": "我感觉",
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      "start": 612.963,
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      "text": "怎么讲",
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    {
      "start": 614.423,
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      "text": "它的这个常任务的表现",
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    {
      "start": 616.703,
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      "text": "还是比这个V4.1",
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      "start": 618.943,
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      "text": "弗拉西要好一点点的",
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      "start": 620.363,
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      "text": "这个感觉就非常的主观了",
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      "start": 622.503,
      "end": 624.323,
      "text": "但是最终都是完成的任务嘛",
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      "start": 624.323,
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      "text": "那个任务的难度我认为",
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    {
      "start": 626.223,
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      "text": "要稍高一点点",
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      "start": 627.743,
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      "text": "总之呢这个Deepseek",
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    {
      "start": 631.983,
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      "text": "V4弗拉西它降价之后",
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    {
      "start": 634.223,
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      "text": "尤其是它后期如果很快能够",
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    {
      "start": 636.103,
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      "text": "推出V4.1弗拉西",
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      "start": 637.183,
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      "text": "我觉得大家真的就没有必要去折腾",
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    {
      "start": 640.223,
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      "text": "什么其他的一些",
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    {
      "start": 642.383,
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      "text": "什么coding plan",
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      "start": 643.683,
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      "text": "或者说去折腾其他的AI了",
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    {
      "start": 645.823,
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      "text": "短时间之内",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.20822381353997566,
      "no_speech_prob": 2.134323794089621e-11,
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    },
    {
      "start": 646.923,
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      "text": "这个劳良又变成了梁子",
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    {
      "start": 649.183,
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      "text": "甚至呢这个马上又有可能",
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    {
      "start": 651.323,
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      "text": "这个变成良盛",
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      "start": 652.243,
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      "text": "这个是有可能的",
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      "text": "Deepseek现在用起来还是非常的像",
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    {
      "start": 656.963,
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      "text": "今天这个高分级过去",
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    {
      "start": 659.763,
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      "text": "等夜间",
      "chunk": 1,
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      "no_speech_prob": 2.134323794089621e-11,
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    {
      "start": 660.383,
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      "text": "我让这个什么",
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    {
      "start": 662.063,
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      "text": "Deepseek Harness",
      "chunk": 1,
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    {
      "start": 663.743,
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      "text": "把我这个本地的",
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    {
      "start": 665.303,
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      "text": "这些tags",
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    {
      "start": 666.503,
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      "text": "本地的这些什么页面",
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    {
      "start": 667.763,
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      "text": "都给他同步到云端",
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    {
      "start": 669.083,
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      "text": "大家明天就可以在手机和电脑上",
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    {
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      "text": "去看到这些东西了",
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      "start": 672.743,
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      "text": "自己去看一下",
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    {
      "start": 674.743,
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      "text": "帮我这个检查一下",
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    {
      "start": 675.963,
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      "text": "看看里面有没有什么重大的错漏",
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    {
      "start": 677.663,
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      "text": "小毛病就自己发帖",
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    {
      "start": 679.203,
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      "text": "到这个什么论坛中发帖来提就行了",
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    {
      "start": 682.443,
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      "text": "千万不要给我发私信",
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      "start": 683.563,
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      "text": "好吧",
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    {
      "start": 685.423,
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      "text": "跟大家交流一下",
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      "start": 686.283,
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      "text": "就是说",
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    {
      "start": 687.123,
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      "text": "欢迎大家来这个论坛发帖交流讨论",
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      "start": 689.323,
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      "text": "但是要有点功德性",
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      "start": 690.923,
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      "text": "要遵守秩序",
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      "text": "论坛因为有各位的",
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    {
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      "text": "有价值的这些帖子",
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    {
      "start": 695.163,
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      "text": "我们才会变得越来越好",
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      "text": "是不是",
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      "text": "像这种帖子",
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      "text": "图文并报",
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    {
      "start": 699.683,
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      "text": "自己愿意去尝试新的东西",
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      "text": "然后尝试完之后",
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    {
      "start": 703.583,
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      "text": "分享给大家",
      "chunk": 1,
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      "start": 704.483,
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      "text": "实际上他的帖子",
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    {
      "start": 705.463,
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      "text": "影响了好几个人",
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