{
  "text": "论坛的超级版主王池川发帖说Deepseek vc.1 flush 0910开始累测了\n实际上就给了两天时间啊\n他说手token1.1秒\n生成速度最高329token每秒\n经过我的长期实测啊\n就是长时间的工作的实测\n这个数字是差不多的啊\n是能够达到的\n他就说这个模型非常的好用\n超级屌\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\nSky Knight说\n好消息就是福拉西明天中午降价\n就是今天中午降价了\n但是当时我是想早一点把这个任务给跑完\n早一点测试\n我也不想省了一点钱\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你说我省了个\n就是降价一半\n我省个25块钱\n有什么意义呢\n是吧\n但是呢最终还是有点超出我的预料啊\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它消耗这个tokens\n一共是\n13.6亿tokens输入\n输出是980k\n那基本上就相当于是14亿的这个总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降价之前啊他能有这样的表现\n我觉得非常的便宜了\n因为降价之后\n他可能说最高能降60%\n我们按照降一半来算的话\n做这个庞大的任务\n也达到了我的聚期\n我的心理成熟价格是50块钱\n他如果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就我这个论坛不是有这个硬件页面吗\n我就想老是发这个用户的帖子\n就这样展现给大家有点太粗糙了\n那么我要给英伟达AMD、英特达、苹果\n他们不同的小主机\n不同的芯片、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像这些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总结完了之后还把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再把它链接到下面来\n像这些tag什么东西\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当然我现在在本地由于我这个Firefox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那做这个工作实际上工作量是非常大的\n首先它要从我这个云端把这个数据库同步到本地\n在本地完全复信\n然后它要理解每一个帖子\n因为做这个工作之前\n我要它重新把所有的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它都没有\n那都要给它加上的\n之前很多标签像什么B70这些标签都没有的\n都要给他补上\n5080这些\n那现在都给它补上了 包括w7800 7900\n把这些标签重新打一遍\n并且要他接手赫米斯以后的工作\n就是为可能说以后我要全面转换到Deep Seek & Hannes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柜子让他通读\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你说\n还是比较大的\n毕竟消耗了那么多Token\n但是它执行任务的时候\n我感觉它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是非常强的\n一共是生成了65个页面\n这里面还包含着大量的在线的校验\n我要求它每一条数据一定要于官方数据\n于这个维基百科的数据进行校验之后才能采用\n这本身就涉及到很多网络查询的一些工作\n是吧 还有一些图片识别\n当然它这个图片识别我必须要说\n它比起GPT5或者比起GPT6自带的那个图片识别\n我觉得要差远了\n因为他本身不能生土\n就有的时候他找到的图片不好的话\n他实际上自己是看不大出来的\n也就像这种图片\n说实话其实是非常垃圾的\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但是我们也要说嘛\n毕竟我消耗了14亿特肯斯\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瓦我也扛不住\n可能说用Tera能把我的信用卡刷爆\n我不至于破产\n另外一个优点我们必须说\n它搭配自家的这个Hannis干活\n是相当的爽的\n你看啊\n手特肯平均是1.7秒\n平均特肯斯是385特肯斯每秒\n一共跌到了183轮2832步\n缓存命中率99.8%\n是吧 输入13.6兆Token 输出980GToken\n我说实话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TOKENS都是用白菜价来计算的\n你换其他任何的AI\n这个价格你都扛不住\n然后183轮\n是吧2800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就因为这个被我骂得像狗一样\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\n参考的时候大家去核对\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你把主要的干脏婆的事情\n交给这个subagent\n这个subagent用什么来驱动呢\n用这个清吻3.827B\nIWQD-FLAX-R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它是完全没有问题的\n我有信心是因为什么\n因为这个DeepSickHannis已经更进到了1.2正式版\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早期我用RCR的版本的时候它工作都是正常的\n那么现在我想它这个什么subagent的能力\n应该是得到了比较大幅的提升\n结果证明它的subagent还是一头狗屎\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Hemis也好\nCodex也好\n他们的subagent都是勾使\n做的都不好\n可能说只有Cloud Code\n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DeepSigate的经验\n就是你要把你的任务分插为不同的阶段\n每个阶段让他不同的agent通过同一个目录\n来沟通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它就可以怎么讲\n把大部分的token给省下来\n但是我想最多降价之后\n他也就能省个40块钱\n总体效率还会降低很多\n我想是否有必要\n要看大家自己个人的感受是什么样子\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这个钱要不要使就见仁见智\n因为什么呢\n这个清吻3.20Gb\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完成任务的质量是非常高的\n完全不输给Dips一个V4.1\n之前我长期用这个V4 Flush来修字幕的时候\n我感觉它并不比这个什么轻微3.8RGB要强什么\n就是他这个编码也是编程啊\n他修复这个论坛的插件啊\n包括说修复APP的一些小bug\n他都不查\n他唯一查的地方\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然后监控的话\n就像这个什么\n或者说是威斯夫拉奇来建功\n这个模型它是个多模态模型啊\n就昨天\n你看我发这些东西给他 他都看得懂的\n图片它还是看得懂的\n它这个多么太模型\n这个价格的话包括它这个响应速度\n还有它的这个长内任务规划\n我觉得是比威斯福拉奇要更好的\n这个模型如果说测试通过上线的话\n我觉得Deepseek就短期内没有必要再折腾VisPro了\n可以把VisPro给下架了\nV4 Pro我感觉我个人的体感这个东西是比较玄乎的\n它没有什么硬性的数据来证实\n就是因为之前我用这个什么V4 Pro来开发是自动剪辑器\n视频的自动生成器自动剪辑器\n它也是迭代了将近200轮\n还200多轮3000多\n我感觉怎么讲\n它的这个常任务表现还是比这个V4.1 Flash要好一点点的\n就是这个感觉就非常的主观了\n但是最终都是完成的任务\n那个任务的难度我认为要稍高一点点\n总之呢这个Deep Seek V4 Flush它降价之后\n尤其是它后期如果很快能够推出V4.1 Flush\n我觉得大家真的就没有必要去折腾\n什么其他的一些什么coding plan\n或者说去折腾其他的AI了\n短时间之内\n这个捞粮又变成了粮子\n甚至呢这个马上又有可能变成粮肾\n这个是有可能的\nDVSIC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都给它同步到云端\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\n论坛中发帖来提就行了\n千万不要给我发私信\n好吧 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实际上它的帖子\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都测试了\n非常的好\n非常的感谢他\n就不要学这种毫无功德性的人\n什么证明工程都不做就知道再拉算\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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      "text": "降价之前啊他能有这样的表现",
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      "chunk": 0,
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      "start": 89.843,
      "end": 91.043,
      "text": "我觉得非常的便宜了",
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      "end": 92.143,
      "text": "因为降价之后",
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      "end": 93.643,
      "text": "他可能说最高能降60%",
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      "language_run": 1
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      "start": 93.643,
      "end": 95.243,
      "text": "我们按照降一半来算的话",
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      "chunk": 0,
      "local_language_run": 10,
      "language_run": 1
    },
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      "start": 95.243,
      "end": 96.643,
      "text": "做这个庞大的任务",
      "language": "zh",
      "chunk": 0,
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      "language_run": 1
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    {
      "start": 96.643,
      "end": 98.183,
      "text": "也达到了我的聚期",
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      "chunk": 0,
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      "language_run": 1
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      "start": 98.183,
      "end": 99.943,
      "text": "我的心理成熟价格是50块钱",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 10,
      "language_run": 1
    },
    {
      "start": 99.943,
      "end": 101.563,
      "text": "他如果40块钱能完成的话",
      "language": "zh",
      "chunk": 0,
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      "language_run": 1
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      "start": 101.563,
      "end": 103.243,
      "text": "那我觉得就非常的划算了",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 10,
      "language_run": 1
    },
    {
      "start": 103.243,
      "end": 105.127,
      "text": "那这个任务是什么呢",
      "language": "zh",
      "chunk": 0,
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      "start": 106.678,
      "end": 110.168,
      "text": "就我这个论坛不是有这个硬件页面吗",
      "language": "zh",
      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 111.709,
      "end": 115.639,
      "text": "我就想老是发这个用户的帖子",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 115.639,
      "end": 117.639,
      "text": "就这样展现给大家有点太粗糙了",
      "language": "zh",
      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 117.639,
      "end": 120.639,
      "text": "那么我要给英伟达AMD、英特达、苹果",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 120.639,
      "end": 122.739,
      "text": "他们不同的小主机",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 122.739,
      "end": 124.299,
      "text": "不同的芯片、不同的显卡",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 124.299,
      "end": 126.639,
      "text": "他们AI算力怎么样",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 126.639,
      "end": 128.199,
      "text": "给大家做一个推荐",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 128.199,
      "end": 129.379,
      "text": "归纳总结",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 129.379,
      "end": 134.999,
      "text": "像这些要跟我论坛实测的数据",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 134.999,
      "end": 136.839,
      "text": "跟我实测的这些帖子互动",
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      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 136.839,
      "end": 138.479,
      "text": "进行初步的总结",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 12,
      "language_run": 1
    },
    {
      "start": 139.703,
      "end": 143.813,
      "text": "总结完了之后还把比较相关的一些帖子给它列出来",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 143.813,
      "end": 146.693,
      "text": "然后有些更多的一些相关的信息",
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      "chunk": 0,
      "local_language_run": 13,
      "language_run": 1
    },
    {
      "start": 146.693,
      "end": 150.613,
      "text": "再把它链接到下面来",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 150.613,
      "end": 152.113,
      "text": "像这些tag什么东西",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 13,
      "language_run": 1
    },
    {
      "start": 152.113,
      "end": 155.113,
      "text": "就直接链到论坛的帖子上来",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 155.113,
      "end": 157.233,
      "text": "那这样的效果就会好很多",
      "language": "zh",
      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 158.623,
      "end": 165.233,
      "text": "当然我现在在本地由于我这个Firefox我是限制它不能翻墙的",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 165.233,
      "end": 167.673,
      "text": "那么它可能说显示肯定是有的时候有些问题",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 167.673,
      "end": 171.273,
      "text": "在正常的论坛中是没有问题的",
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      "language_run": 1
    },
    {
      "start": 171.273,
      "end": 174.153,
      "text": "那做这个工作实际上工作量是非常大的",
      "language": "zh",
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      "language_run": 1
    },
    {
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      "text": "首先它要从我这个云端把这个数据库同步到本地",
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      "language_run": 1
    },
    {
      "start": 178.513,
      "end": 179.733,
      "text": "在本地完全复信",
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      "language_run": 1
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      "start": 179.733,
      "end": 182.613,
      "text": "然后它要理解每一个帖子",
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    {
      "start": 182.613,
      "end": 183.813,
      "text": "因为做这个工作之前",
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      "end": 186.453,
      "text": "我要它重新把所有的tag给重新打一遍",
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    },
    {
      "start": 186.453,
      "end": 187.733,
      "text": "把漏掉的给补上",
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      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 187.733,
      "end": 190.353,
      "text": "像那什么苹果的M4啊",
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      "language_run": 1
    },
    {
      "start": 190.353,
      "end": 191.453,
      "text": "什么M5它都没有",
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    },
    {
      "start": 191.453,
      "end": 192.912,
      "text": "那都要给它加上的",
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    },
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      "start": 194.747,
      "end": 198.397,
      "text": "之前很多标签像什么B70这些标签都没有的",
      "language": "zh",
      "chunk": 0,
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      "language_run": 1
    },
    {
      "start": 198.397,
      "end": 199.777,
      "text": "都要给他补上",
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    },
    {
      "start": 199.777,
      "end": 200.857,
      "text": "5080这些",
      "language": "zh",
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      "language_run": 1
    },
    {
      "start": 204.105,
      "end": 206.755,
      "text": "那现在都给它补上了 包括w7800 7900",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 16,
      "language_run": 2
    },
    {
      "start": 208.719,
      "end": 210.169,
      "text": "把这些标签重新打一遍",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 210.169,
      "end": 214.509,
      "text": "并且要他接手赫米斯以后的工作",
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      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 214.509,
      "end": 218.075,
      "text": "就是为可能说以后我要全面转换到Deep Seek & Hannes上来",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 219.427,
      "end": 220.157,
      "text": "要提前做准备",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 220.157,
      "end": 221.317,
      "text": "所以说整个论坛呢",
      "language": "zh",
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      "language_run": 2
    },
    {
      "start": 221.317,
      "end": 222.637,
      "text": "所有帖子让他通读",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 222.637,
      "end": 223.497,
      "text": "柜子让他通读",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 223.497,
      "end": 226.537,
      "text": "就赫米斯是怎么管理这个论坛的",
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      "language_run": 2
    },
    {
      "start": 226.537,
      "end": 228.177,
      "text": "要他准备接手",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 229.392,
      "end": 230.842,
      "text": "那总体上这个工作量你说",
      "language": "zh",
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      "language_run": 2
    },
    {
      "start": 230.842,
      "end": 231.882,
      "text": "还是比较大的",
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      "chunk": 0,
      "local_language_run": 19,
      "language_run": 2
    },
    {
      "start": 231.882,
      "end": 233.242,
      "text": "毕竟消耗了那么多Token",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 233.242,
      "end": 235.282,
      "text": "但是它执行任务的时候",
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      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 235.282,
      "end": 236.842,
      "text": "我感觉它的优点就非常的明显",
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      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 236.842,
      "end": 239.642,
      "text": "你说能不能平替Deepseek with Pro",
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      "language_run": 2
    },
    {
      "start": 239.642,
      "end": 241.642,
      "text": "我觉得可能要稍微差一点意思",
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    },
    {
      "start": 241.642,
      "end": 243.026,
      "text": "但是基本上能够替代",
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    },
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      "start": 244.152,
      "end": 246.582,
      "text": "就他的这个常列任务的规划能力是非常强的",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 248.348,
      "end": 250.018,
      "text": "一共是生成了65个页面",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 21,
      "language_run": 2
    },
    {
      "start": 250.018,
      "end": 254.078,
      "text": "这里面还包含着大量的在线的校验",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 21,
      "language_run": 2
    },
    {
      "start": 254.078,
      "end": 256.898,
      "text": "我要求它每一条数据一定要于官方数据",
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      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 256.898,
      "end": 261.238,
      "text": "于这个维基百科的数据进行校验之后才能采用",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 21,
      "language_run": 2
    },
    {
      "start": 261.238,
      "end": 264.758,
      "text": "这本身就涉及到很多网络查询的一些工作",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 266.112,
      "end": 267.562,
      "text": "是吧 还有一些图片识别",
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      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 267.562,
      "end": 269.862,
      "text": "当然它这个图片识别我必须要说",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 269.862,
      "end": 273.562,
      "text": "它比起GPT5或者比起GPT6自带的那个图片识别",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 22,
      "language_run": 2
    },
    {
      "start": 273.562,
      "end": 274.616,
      "text": "我觉得要差远了",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 276.026,
      "end": 277.136,
      "text": "因为他本身不能生土",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 23,
      "language_run": 2
    },
    {
      "start": 277.136,
      "end": 279.236,
      "text": "就有的时候他找到的图片不好的话",
      "language": "zh",
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      "language_run": 2
    },
    {
      "start": 279.236,
      "end": 281.656,
      "text": "他实际上自己是看不大出来的",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 281.656,
      "end": 282.596,
      "text": "也就像这种图片",
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      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 282.596,
      "end": 284.36,
      "text": "说实话其实是非常垃圾的",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 23,
      "language_run": 2
    },
    {
      "start": 285.736,
      "end": 287.006,
      "text": "但是如果用GPT来搞的话",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 24,
      "language_run": 2
    },
    {
      "start": 287.006,
      "end": 287.606,
      "text": "他可能说",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 24,
      "language_run": 2
    },
    {
      "start": 287.606,
      "end": 289.406,
      "text": "自己就直接画一个图",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 24,
      "language_run": 2
    },
    {
      "start": 289.406,
      "end": 290.609,
      "text": "也是比较准的",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 24,
      "language_run": 2
    },
    {
      "start": 292.515,
      "end": 293.305,
      "text": "但是我们也要说嘛",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 293.305,
      "end": 294.745,
      "text": "毕竟我消耗了14亿特肯斯",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 294.745,
      "end": 296.565,
      "text": "如果说是用GPT6的价格",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 296.565,
      "end": 297.805,
      "text": "我现在已经破产了",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 297.805,
      "end": 300.565,
      "text": "哪怕用GPT5.64瓦我也扛不住",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 300.565,
      "end": 303.145,
      "text": "可能说用Tera能把我的信用卡刷爆",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 303.145,
      "end": 304.285,
      "text": "我不至于破产",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 304.285,
      "end": 306.385,
      "text": "另外一个优点我们必须说",
      "language": "zh",
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      "language_run": 2
    },
    {
      "start": 306.385,
      "end": 308.065,
      "text": "它搭配自家的这个Hannis干活",
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      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 308.065,
      "end": 309.785,
      "text": "是相当的爽的",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 309.785,
      "end": 310.365,
      "text": "你看啊",
      "language": "zh",
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      "start": 310.365,
      "end": 312.185,
      "text": "手特肯平均是1.7秒",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
    {
      "start": 312.185,
      "end": 315.065,
      "text": "平均特肯斯是385特肯斯每秒",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 315.065,
      "end": 318.425,
      "text": "一共跌到了183轮2832步",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 25,
      "language_run": 2
    },
    {
      "start": 318.425,
      "end": 320.605,
      "text": "缓存命中率99.8%",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
    },
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      "start": 321.915,
      "end": 325.978,
      "text": "是吧 输入13.6兆Token 输出980GToken",
      "language": "zh",
      "chunk": 0,
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    },
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      "text": "我说实话这个数据是相当的漂亮的",
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      "text": "第一是缓存命中率达到了99.8%",
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      "chunk": 0,
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    },
    {
      "start": 332.235,
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      "text": "绝大部分TOKENS都是用白菜价来计算的",
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    },
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      "start": 335.829,
      "end": 337.479,
      "text": "你换其他任何的AI",
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      "chunk": 0,
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      "language_run": 2
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    {
      "start": 337.479,
      "end": 338.73,
      "text": "这个价格你都扛不住",
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      "chunk": 0,
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    },
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      "start": 340.247,
      "end": 341.641,
      "text": "然后183轮",
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      "start": 342.903,
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      "text": "是吧2800多部的迭代",
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      "chunk": 0,
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      "start": 344.833,
      "end": 347.513,
      "text": "我相信这个任务还是相当相当的强大的",
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      "chunk": 0,
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      "language_run": 2
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      "text": "这是一个比较复杂的任务",
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      "start": 351.861,
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      "text": "他还是最终准确的交货了",
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      "chunk": 0,
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      "language_run": 2
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    {
      "start": 354.271,
      "end": 356.291,
      "text": "虽然过程中有些图片",
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      "chunk": 0,
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    },
    {
      "start": 356.291,
      "end": 357.491,
      "text": "找的不太好",
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      "language_run": 2
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      "start": 357.491,
      "end": 359.191,
      "text": "讲实话我不太满意",
      "language": "zh",
      "chunk": 0,
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      "language_run": 2
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    {
      "start": 359.191,
      "end": 362.031,
      "text": "然后我又自己找了一些图片来替代他",
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    },
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      "start": 362.031,
      "end": 364.231,
      "text": "就因为这个被我骂得像狗一样",
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      "chunk": 0,
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      "language_run": 2
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    {
      "start": 364.231,
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      "text": "但是凭良性讲",
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      "language_run": 2
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      "start": 365.691,
      "end": 368.491,
      "text": "他总体上任务完成的还是相当漂亮的",
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      "language_run": 2
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    {
      "start": 372.569,
      "end": 374.159,
      "text": "答案呢具体怎么样",
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    },
    {
      "start": 374.159,
      "end": 375.919,
      "text": "还要把它再放到网上面",
      "language": "zh",
      "chunk": 0,
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      "language_run": 3
    },
    {
      "start": 375.919,
      "end": 378.079,
      "text": "再让大家这个什么",
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      "chunk": 0,
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      "language_run": 3
    },
    {
      "start": 378.079,
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      "text": "参考的时候大家去核对",
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      "language_run": 3
    },
    {
      "start": 380.359,
      "end": 382.839,
      "text": "因为我自己没有时间去核对这么多数据",
      "language": "zh",
      "chunk": 0,
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      "language_run": 3
    },
    {
      "start": 385.032,
      "end": 387.542,
      "text": "那他本次任务中还有一个比较重大的缺陷",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 34,
      "language_run": 4
    },
    {
      "start": 387.542,
      "end": 388.722,
      "text": "刚才我忘记说了",
      "language": "zh",
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      "language_run": 4
    },
    {
      "start": 388.722,
      "end": 389.742,
      "text": "是什么呢",
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      "text": "就是任务开始的时候",
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    {
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      "end": 392.622,
      "text": "我明确跟他讲了",
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      "start": 392.622,
      "end": 395.522,
      "text": "你还是要自己当监工",
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      "language_run": 4
    },
    {
      "start": 395.522,
      "end": 397.602,
      "text": "你把主要的干脏婆的事情",
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      "language_run": 4
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    {
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      "end": 398.662,
      "text": "交给这个subagent",
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      "language_run": 4
    },
    {
      "start": 398.662,
      "end": 401.102,
      "text": "这个subagent用什么来驱动呢",
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      "local_language_run": 34,
      "language_run": 4
    },
    {
      "start": 401.102,
      "end": 402.882,
      "text": "用这个清吻3.827B",
      "language": "zh",
      "chunk": 0,
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      "language_run": 4
    },
    {
      "start": 402.882,
      "end": 405.362,
      "text": "IWQD-FLAX-R这个模型",
      "language": "zh",
      "chunk": 0,
      "local_language_run": 34,
      "language_run": 4
    },
    {
      "start": 405.362,
      "end": 407.462,
      "text": "就是我本地的S接浪驱动的模型",
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    },
    {
      "start": 408.661,
      "end": 409.471,
      "text": "用它来搞",
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    },
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      "start": 409.911,
      "end": 412.911,
      "text": "而且我这个模型里给它放什么",
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    },
    {
      "start": 412.911,
      "end": 415.503,
      "text": "三四个绘画四五个绘画它是完全没有问题的",
      "language": "zh",
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    },
    {
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      "end": 417.838,
      "text": "我有信心是因为什么",
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      "start": 417.838,
      "end": 420.778,
      "text": "因为这个DeepSickHannis已经更进到了1.2正式版",
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    },
    {
      "start": 421.378,
      "end": 422.478,
      "text": "好像是这样啊",
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      "language_run": 4
    },
    {
      "start": 422.878,
      "end": 426.278,
      "text": "它已经不是什么α或者说是β版本了",
      "language": "zh",
      "chunk": 0,
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    },
    {
      "start": 426.478,
      "end": 429.478,
      "text": "早期我用RCR的版本的时候它工作都是正常的",
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    {
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      "text": "那么现在我想它这个什么subagent的能力",
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    },
    {
      "start": 432.278,
      "end": 433.878,
      "text": "应该是得到了比较大幅的提升",
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      "start": 433.878,
      "end": 435.996,
      "text": "结果证明它的subagent还是一头狗屎",
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    },
    {
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      "text": "就跟以前RC版本的时候没有任何区别",
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    },
    {
      "start": 440.943,
      "end": 442.593,
      "text": "当然我也不得不说像什么Hemis也好",
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    },
    {
      "start": 442.593,
      "end": 443.193,
      "text": "Codex也好",
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      "start": 443.193,
      "end": 444.793,
      "text": "他们的subagent都是勾使",
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      "language_run": 4
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    {
      "start": 444.993,
      "end": 446.193,
      "text": "做的都不好",
      "language": "zh",
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      "start": 446.593,
      "end": 447.793,
      "text": "可能说只有Cloud Code",
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      "start": 447.793,
      "end": 449.593,
      "text": "他们的subagent做的比较好",
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      "chunk": 0,
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      "language_run": 4
    },
    {
      "start": 451.993,
      "end": 455.283,
      "text": "那你说在这种情况下应该怎么搞呢",
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    },
    {
      "start": 455.283,
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      "text": "就是根据我之前用DeepSigate的经验",
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    },
    {
      "start": 456.943,
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      "text": "就是你要把你的任务分插为不同的阶段",
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      "language_run": 5
    },
    {
      "start": 462.543,
      "end": 467.863,
      "text": "每个阶段让他不同的agent通过同一个目录",
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    {
      "start": 469.164,
      "end": 472.414,
      "text": "来沟通给这些目录上锁上队列",
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    },
    {
      "start": 472.414,
      "end": 473.794,
      "text": "让他们排队",
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    },
    {
      "start": 475.95,
      "end": 477.76,
      "text": "相互来教应 相互来协作",
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      "language_run": 6
    },
    {
      "start": 477.76,
      "end": 479.5,
      "text": "那么这个效率是比较高的",
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      "language_run": 6
    },
    {
      "start": 479.5,
      "end": 481.2,
      "text": "它就可以怎么讲",
      "language": "zh",
      "chunk": 0,
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      "language_run": 6
    },
    {
      "start": 481.2,
      "end": 483.18,
      "text": "把大部分的token给省下来",
      "language": "zh",
      "chunk": 0,
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    },
    {
      "start": 484.731,
      "end": 486.381,
      "text": "但是我想最多降价之后",
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    },
    {
      "start": 486.381,
      "end": 487.781,
      "text": "他也就能省个40块钱",
      "language": "zh",
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    },
    {
      "start": 487.781,
      "end": 489.761,
      "text": "总体效率还会降低很多",
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    {
      "start": 489.761,
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      "text": "我想是否有必要",
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    {
      "start": 492.601,
      "end": 495.78,
      "text": "要看大家自己个人的感受是什么样子",
      "language": "zh",
      "chunk": 1,
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    },
    {
      "start": 497.421,
      "end": 499.491,
      "text": "毕竟这种大活不是每天都有的",
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      "language_run": 6
    },
    {
      "start": 499.491,
      "end": 501.071,
      "text": "就算每天都有",
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      "language_run": 6
    },
    {
      "start": 501.071,
      "end": 502.771,
      "text": "一个月也就一千多块钱",
      "language": "zh",
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    },
    {
      "start": 502.771,
      "end": 505.011,
      "text": "这个钱要不要使就见仁见智",
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    },
    {
      "start": 507.281,
      "end": 508.171,
      "text": "因为什么呢",
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      "language_run": 7
    },
    {
      "start": 508.171,
      "end": 509.671,
      "text": "这个清吻3.20Gb",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 4,
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    },
    {
      "start": 509.671,
      "end": 510.991,
      "text": "他做这种任务",
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    },
    {
      "start": 510.991,
      "end": 512.331,
      "text": "他做任务的能力",
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    },
    {
      "start": 512.331,
      "end": 514.051,
      "text": "你看包括他修复字幕",
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      "end": 515.131,
      "text": "我说实话",
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    },
    {
      "start": 515.131,
      "end": 516.851,
      "text": "他的能力是非常非常强的",
      "language": "zh",
      "chunk": 1,
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      "language_run": 7
    },
    {
      "start": 516.851,
      "end": 518.371,
      "text": "就虽然他的支持库很小",
      "language": "zh",
      "chunk": 1,
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    },
    {
      "start": 518.371,
      "end": 520.731,
      "text": "但是他积极的上网去搜索",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 4,
      "language_run": 7
    },
    {
      "start": 520.731,
      "end": 523.211,
      "text": "完成任务的质量是非常高的",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 4,
      "language_run": 7
    },
    {
      "start": 523.211,
      "end": 525.291,
      "text": "完全不输给Dips一个V4.1",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 4,
      "language_run": 7
    },
    {
      "start": 528.449,
      "end": 531.299,
      "text": "之前我长期用这个V4 Flush来修字幕的时候",
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      "chunk": 1,
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      "language_run": 8
    },
    {
      "start": 531.299,
      "end": 535.079,
      "text": "我感觉它并不比这个什么轻微3.8RGB要强什么",
      "language": "zh",
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      "language_run": 8
    },
    {
      "start": 536.677,
      "end": 538.147,
      "text": "就是他这个编码也是编程啊",
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      "language_run": 8
    },
    {
      "start": 538.147,
      "end": 540.067,
      "text": "他修复这个论坛的插件啊",
      "language": "zh",
      "chunk": 1,
      "local_language_run": 6,
      "language_run": 8
    },
    {
      "start": 540.067,
      "end": 541.867,
      "text": "包括说修复APP的一些小bug",
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      "chunk": 1,
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      "language_run": 8
    },
    {
      "start": 541.867,
      "end": 542.387,
      "text": "他都不查",
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