{
  "text": "你是來白嫖的吧?沒關係。主包也是從零粉絲開始的AI教學新人。覺得有用,求個一鍵三連,咱們一起升級。\n这个模型今天刚出来\n我看到有网友\n他通过一个简单的这个图纸\n他就做出了一个可编辑的一个模型\n他不是通过咱们以前\n3D打印用的那种视觉方案\n他好像是直接通过建模的方式\n也就这些图纸上的这个火车\n他通过这个图纸生成后\n是可以编辑的\n今天我就想试一下\n所以我就找了一个\n二战的乘客\n就是德国的鲍尔主战坦克\n我找了一张图纸\n主要是三式图\n我看看复刻网友的\n因为我找的图是比较\n比他的这个火车可能要复杂一些\n但没关系\n我们测试一下看看\n它最终效果怎么样\n我们给他说一下\n这是德国的鲍尔主战坦克\n我希望你生成可以编辑的\nBlender\nBlender是怎么拼来着\nBlender的\n可以编辑的3D模型\n根据图纸分析和生成\n如果数据不够清晰\n我还有些参考图片\n我给他找了一些参考图片\n保证我们算了不给他参考图片\n我直接就去给他三个30图\n看他什么效果\n我们可以看到Astro\n我们给他选择Astro极高\n我们选择这个极高就行了\n好文件放到桌面\n好我们见证奇迹的时刻\n稍等一下\n最近TNGPT可以生成模型\n有新的模型\n其实谷歌的GEMI 3.8\n也是新模型\n我给大家看一下\n这个国外的一个网友\n他做的\n他仅仅通过四张三张的CED图纸\n甚至说不是CED\n就是图片\n他做的这个可编辑的火车\n我觉得还蛮震撼的\n对他不是说像\n我们之前有那种\n图生模型的那种\n软件或者是网站\n你给他一张图纸\n他生成一个对象\n那个对象是一体的\n他不是那种用结构化\n你理解为有点像结构化的东西\n他不是\n使用Codex生成的这个火车\n一看就是\n他其实是通过这种\n类似于CED的这种数据生成的\n参数生成的方式\n这种方式\n其实整个行业来讲\n还没有做得很好\n但是他这个火车\n我觉得做得还可以\n而且每一个对象\n都是可编辑的\n大家可以看这个模型\n我给大家图纸\n那个图纸可能都不准确\n但我也不是军事专家\n这个图纸切心爆缆和短炮管\n他给我的意见是更接近爆2A5\n其实我觉得他这种视觉\n已经到了挺牛逼的程度\n因为我们给大家图纸\n其实是个很笼笼的爆2\n但实际上爆2应该是有很多型号\n应该跟iPhone手机一样\n也有很多型号\n你不能笼笼的说爆2\n他找到了准确的型号\n通过视觉分析反推出型号之后\n他会按照图纸的外形\n并保留侧面七个负重轮\n独立履带\n侧边群板\n好打附线\n首先他如果要\n我觉得他应该很快就能做出来\n首先他分析图纸\n现在已经比以前要强了\n他能分析出正确的产品型号\n也能分析出他的一些组装结构\n这是他成功的第一步\n他首先能看懂了\n他才会去编辑\n图纸没有尺寸标志\n模型比例会做\n做金丝校准\n厂家资料也确定了\nA5使用较短的\n那他其实就是\n你这张图纸\n我们可以看\n我们学习的作者\n他给的图纸也没有\n有\n我看看\n有尺寸参考\n但是没有那种\nCED型的那种尺寸参考\n我们就尽量跟他一样\n我们给他\n连个总参考都没有\n因为我觉得\n他可以去这个网站上找一个\n整个报二的数据库\n他应该是在网上能找到的\n就是他的总长之类的\n我们再稍等一会\n报家伙\n他正在分析\n我看他有一个参考资料\n他直接就跑到这来参考了\n这应该是一个\n德国的报二的官网\n还是什么的\n不太清楚\n他这上面就有报二的所有的参数\n那这就没办法了\n其实我给他图纸\n也真的就给了个寂寞\n他有一些不清楚的数据\n他自己会去找\n确实是挺厉害\n我们在等的过程中\n你看主要模型已经完成\n原图也会打包进blender文件\n接下来生成模型\n并渲染测试之图\n检查比例\n他自己其实新的这个模型\n他的整个逻辑闭环还可以\n他模型建完之后\n不是说把图原图给我们就行了\n他接下来还会生成渲染\n因为blender是开源软件\n所以它调用blender是没有问题的\n它测试三视图之后\n检查比例\n组装\n它已经生成了各个部件之后\n它自行组装\n但是我们现在还没看到具体\n它生成的样子是什么\n但我们稍等的过程中\n给大家顺便再说一下\n最近还有一个新模型出来\n就是这个Gemini 3.8\n因为最近几个月\n我一直在用这个3.7\n其实还不错\n它其实等价于\nTedJPD的一个中等型号的模型\n这个3.8出来\n我还没有测试\n那我们今天顺便就让3.8测试一下\n但我们可以肯定的是\nGemini可能不太和这个Astro相比\n应该是不是同一个级别的模型\n但是我们也可以测试一下\n让它我们TGC一样\n让它去做一下\n我们放到桌面\n名称文件加名为Gemini测试\n我们主要是这个做测试用\n所以我们让它名称换一个\n否则就跟这个ChatGPT一样了\n好我们让它试着跑一下\n当然它做东西\n我认为可能跟这个新出的Astro还不太一样\n因为我就没有见过谁用这个Gemney\n做出过比较复杂的网页还可以\n但是复杂的Blender模型还是没有见过\n所以我今天就让这两家做一个\n我手上现在直接能用的两个\n应该是这两天都前后角\n这是前天出来的模型\n这是昨天出来的模型\n我们让这两家进行一个\n比较现实的对比\n让他感受一下一线的一个模型\n他们的一个能力水平\n其实有时候为什么\n你看我\n看我频道的很多人都是刚入门的\n这个小白\n为什么我要录这种比较\n前沿的这些模型的视频\n主要是我感觉\n就算你有些人暂时用不到\n或者是也用不到这么先进的技术\n但是他\n比如说用这个豆包\n或者用Workbody之类的软件的时候\n他也知道整个行业发展\n最终的方向在哪\n有一些东西他不要自己去折腾了\n有时候模型一迭代\n你准备的那些结构\n包括一些想法\n可能无用功\n是这样子的一个情况\nGemini 3.8的特点\n根据我自己的使用\n他速度比较快一些\n他干什么事速度都特别快\n但是不保质量\n看似要比这个Gemini\n喷东西喷出来的要快\n但是他有时候\n靠谱性就比较差一些\n有时候玩了\n它质量很差\n好家伙\n我感觉\n大家现在看右边这张图\n这张图不是网上的\n这张图它是\n根据它生成的模型\n做了一个自测渲染\n那我觉得\n以后建模\n图纸设计的应该是没问题\n大家再稍等一下\n我觉得我还有点激动\n我觉得他这个有点神\n为了区别\n我们现在直接用AI\n直接用AI生成这种图纸模型\n为了区别\n有些人说\n这AI早都能生成模型了\n就类似于这种\n它是通过照片\n然后通过神经网络\n生成的这种一体化模型\n它也能拆件\n但是两个工作原理是不同的\n两个工作原理\n这个要跟大家区别说明一下\n因为这些模型\n它是通过那种\n怎么讲\n它内部直接用AI\n去做的一个神经网络生涂\n它本身是一种\n怎么讲\n生出来的这些模型\n它是浑然一体的\n也就是说每个部件\n它是不可编辑的\n这么来讲\n它是不可编辑的\n这个跟最近\n我们经常见的这个\n涂生3D的原理\n是完全不一样的原理\n好\n我们这里接着看\n它走到哪一步了\nGemini这边也在做\nGemini正在系统的\nBlender引擎和模型生成\n正在后台运行\n我不知道它会不会两个打架\n但是这边已经用完了\n我们再稍等一下\n因为我们刚说的这个图声\n看一下\n因为我们刚说的这种模式\n它生成游戏动漫是没问题的\n生成好\n激动人心的时刻到了\n这个我们可以看到\nGemini是跟这个\nChatGP同时完成的\n但是Gemily是后开始的\n你就想它速度有多快\n大家可以看\nGemily生成的就是这个样子\n我们快速看一下\nGemily生成的是这个样子\n那就很开玩笑的\n我们的ChatGP生成的\n我认为已经达到\n我把它文件打开看一下\n我们首先看一下\n他们的生成文\n这是Gemily生成的文件\n放到这个包\n这个应该是\n我给大家写一下\n这个应该是\nJetVS所生成的\n这个应该是我中文区全网第一个去做的实测\n因为我没有看到谁真的\n我们可以看一下它外头\n你看参考图报告使用说明\n这个对模型圈来说\n这种参数化的模型\n我们可以看非常的精准\n这个大家可以对比图纸看一下\n大家可以对比图看\n如果有做模型的小伙伴\n应该对这种参数化模型的设计非常了解\n就知道我的意思\n它不是那种随便做的\n而且对于这个\n我觉得以后可能会对于整个CED行业\n包括参数化这种设计行业\n会产生巨大震荡\n因为参数化设计行业\n他们现在拿到的这个\n大家可以看\n它连涂装都给做好了\n我们可以看\n不得了不得了\n连涂装都给了\n大家觉得如果说我们这种参数化模型\n可以做到这一步\n那我们后期比如说做一些游戏\n或者需要这样的精准的\n游戏里面有一些不需要精准的\n甚至我们游戏行业其实不需要\n我觉得这个可能对这种工业\n大家可以看模型\n大家可以看这个模型不是\n这个模型不是这个\n大家可以看它是完全可编辑的\n也就是说我们\n当然它做了涂装我比较震惊\n但是怎么说\n你大家可以看完全是可编辑的\n也就是说我们的\n比如说我们现在选择一个对象之后\n它的一些这种参数\n包括它的一些分切\n这些都是可以进行一个改变的\n分段什么尺寸\n相当于跟人手工去做成这个模型\n差不太多\n大家可以看\n这些分段是可以改变的\n跟人手工做模型\n做出来的效果几乎是一样的\n这个懂得\n今天给大家展示的\n基本上内容就是这样子\n这个Blender\n因为我很久没有做过这个三维模型了\n我以前是做过这种3D模型的工作的\n但是好久不用有点生疏了\n但是基本原理就这样\n懂行的应该是一眼能看懂这个事情的牛逼程度的\n不用我去多去吹这个东西\n我们比如说这个简单看一下\n我所说的整个模型\n大家可以看\n我给大家这个可编辑\n有些因为没有做过模型工作的小伙伴\n可能不太了解什么意思\n我说的是什么意思\n这里面有多少个对象\n应该有几十个有上千个对象了\n他做我们这个工程应该是用到了上千个对象\n我给大家把一个一个拆开给看\n每一个螺丝\n它应该是达不到工业级的标准\n但是如果说你是做这种手办模型来说\n我认为它\n你们拆件这件事就不用去考虑了\n它直接给你们把拆件工作就做\n大家可以看\n大家可以看\n这就是我们\n我说的这个\n是真的牛逼的一种生涂的方式\n就是它完全理解图纸\n然后一件一件做\n做完之后进行了一个组合\n这个就是我给大家看的\n今天我非常震惊的一个东西\n我们现在可以看一下\n这个使用说明\n我不知道它啥意思\n我们都看看\n它给写了一份使用说明\n我是告诉大家可以看\n用途完整模型材质控制器灯光\n舞台摄影机打包\n透视参考图\n用户给的参考图\n图纸分析如何编辑结构\n我们车辆一共有789个对象\n762个网络对象\n27个\n这不得了\n这个东西\n我只能说\n不得了\n你想想看\n他顺便给我们\n把几十图也做了\n最后给了一个\n工业级的渲染图\n如果做手办和模型的\n可以稍微\n关注一下\n我这期视频\n我觉得\n有些事情可能\n会产生一些变化\n那我们看一下\n比较拉垮的\nGemini模型\n它也是3.8\n昨天才出来的\n我们可以看一下\n它做的\n那我们就不打开\n它应该是\n把OBJ做出来\n但是你看\n这个是其实\n大家看\n这个做的比较拉垮\n但其实这也是行业\n我们ChadGPT昨天出来的\n宇航员模型是比较顶尖的模型\nGemini这个模型\n其实是属于行业\n行业大多数情况现在\n我认为也不惊讶\n但是就这情况了\n我们主要做一个对比\n知道这个新出的宇航员模型\n到底我给他调的是极高\n到底厉害到什么程度\n这个是我们的灵感来源于\nTom的一个\n因为他坐了一个火车\n我认为火车太简单了\n我就坐了一个报时坦克的\n希望这期视频对大家有帮助\n这两天我自己录制了一个\nAI新手入门课\n如果你想熟悉熟练使用AI的课程\n可以登录我的个人博客\n我的个人博客地址是\nwhosebird.com\n就是我B站的账号\n海森堡的账号\n加上.com\n就可以到网站上购买课程\n课程其实地址就是在这个\nB站\n我使用了半年的\n这个情况搜集了上百条用户留言\n总结的这个课程\n也就是针对个人和公司\n怎么样去从不懂用AI\n到AI的整个过程\n希望大家可以关注一下我这个课程\n我觉得我最近刚刚上前这个课程\n还在做优惠\n希望大家可以去参考一下\n这期的这个模型就是这样的\n如果说有用户感兴趣\n想看一下这个图纸\n你也可以登录我的个人博客\n我有联系方式\n你可以联系我\n我可以把这张\n报式坦克的图纸给你\n你实际感受一下\nAEA到底能做到什么程度\n也不会让我们的很多\n尤其是做手办模型\n或者是做这种\n需要拆件精确图纸的这些用户\n或者是想看一下\n到底AEA最新的模型\n能做到什么程度\n可以联系我\n我今天把这个\n报式坦克的图纸\n可以免费送给你们\n你只要登录我的这个\n个人博客\n就是我刚说的这个地址\n地址在这\nwhosebook.com\n点击联系\n这里面有我的QQ群\n还有微信群都有\n还有各种联系方式\n好\n这期节目就是这样子\n谢谢大家收看",
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      "text": "你是來白嫖的吧?沒關係。主包也是從零粉絲開始的AI教學新人。覺得有用,求個一鍵三連,咱們一起升級。",
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      "text": "这个模型今天刚出来",
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      "text": "我看到有网友",
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      "text": "他通过一个简单的这个图纸",
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      "text": "他就做出了一个可编辑的一个模型",
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      "text": "他不是通过咱们以前",
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      "text": "也就这些图纸上的这个火车",
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      "text": "所以我就找了一个",
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      "text": "二战的乘客",
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      "start": 56.4,
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      "text": "就是德国的鲍尔主战坦克",
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      "start": 58.4,
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      "text": "我找了一张图纸",
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      "start": 59.62,
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      "text": "主要是三式图",
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    {
      "start": 60.68,
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      "text": "我看看复刻网友的",
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    {
      "start": 62.72,
      "end": 64.16,
      "text": "因为我找的图是比较",
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    {
      "start": 64.16,
      "end": 65.88,
      "text": "比他的这个火车可能要复杂一些",
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    {
      "start": 65.88,
      "end": 66.54,
      "text": "但没关系",
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    {
      "start": 66.54,
      "end": 67.72,
      "text": "我们测试一下看看",
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    {
      "start": 67.72,
      "end": 69.46,
      "text": "它最终效果怎么样",
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    {
      "start": 69.46,
      "end": 70.66,
      "text": "我们给他说一下",
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    },
    {
      "start": 70.66,
      "end": 72.94,
      "text": "这是德国的鲍尔主战坦克",
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    {
      "start": 72.94,
      "end": 78.02,
      "text": "我希望你生成可以编辑的",
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    {
      "start": 78.02,
      "end": 78.64,
      "text": "Blender",
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    {
      "start": 78.64,
      "end": 80.56,
      "text": "Blender是怎么拼来着",
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    {
      "start": 80.56,
      "end": 81.86,
      "text": "Blender的",
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    {
      "start": 81.86,
      "end": 86.14,
      "text": "可以编辑的3D模型",
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    },
    {
      "start": 86.14,
      "end": 91.1,
      "text": "根据图纸分析和生成",
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      "compression_ratio": 1.3710407239819005
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    {
      "start": 91.1,
      "end": 93.86,
      "text": "如果数据不够清晰",
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    {
      "start": 93.86,
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      "text": "我还有些参考图片",
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    {
      "start": 97.4,
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      "text": "我给他找了一些参考图片",
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    {
      "start": 99.4,
      "end": 101.4,
      "text": "保证我们算了不给他参考图片",
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    },
    {
      "start": 101.4,
      "end": 105.16,
      "text": "我直接就去给他三个30图",
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    {
      "start": 105.16,
      "end": 106.1,
      "text": "看他什么效果",
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    {
      "start": 106.1,
      "end": 107.48,
      "text": "我们可以看到Astro",
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    {
      "start": 107.48,
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      "text": "我们给他选择Astro极高",
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    {
      "start": 109.5,
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      "text": "我们选择这个极高就行了",
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    {
      "start": 111.6,
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      "text": "好文件放到桌面",
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    {
      "start": 115.08,
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      "text": "好我们见证奇迹的时刻",
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    {
      "start": 117.32,
      "end": 118.16,
      "text": "稍等一下",
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    {
      "start": 118.16,
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      "text": "最近TNGPT可以生成模型",
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    {
      "start": 120.8,
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      "text": "有新的模型",
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      "start": 121.8,
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      "text": "其实谷歌的GEMI 3.8",
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      "start": 124.06,
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      "text": "也是新模型",
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    {
      "start": 125.38,
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      "text": "我给大家看一下",
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    {
      "start": 126.9,
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      "text": "这个国外的一个网友",
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    {
      "start": 129.0,
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      "text": "他做的",
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    {
      "start": 130.46,
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      "text": "他仅仅通过四张三张的CED图纸",
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      "start": 132.94,
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      "text": "甚至说不是CED",
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      "start": 134.38,
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      "text": "就是图片",
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      "text": "他做的这个可编辑的火车",
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    {
      "start": 137.4,
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      "text": "我觉得还蛮震撼的",
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      "start": 139.26,
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      "text": "对他不是说像",
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    {
      "start": 141.58,
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      "text": "我们之前有那种",
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      "start": 143.0,
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      "text": "图生模型的那种",
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    {
      "start": 144.54,
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      "text": "软件或者是网站",
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      "start": 146.88,
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      "text": "你给他一张图纸",
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      "start": 148.08,
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      "text": "他生成一个对象",
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    {
      "start": 149.32,
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      "text": "那个对象是一体的",
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    {
      "start": 151.1,
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      "text": "他不是那种用结构化",
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    {
      "start": 153.38,
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      "text": "你理解为有点像结构化的东西",
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      "start": 155.76,
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      "text": "他不是",
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    {
      "start": 156.14,
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      "text": "使用Codex生成的这个火车",
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      "start": 158.32,
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      "text": "一看就是",
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    {
      "start": 158.92,
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      "text": "他其实是通过这种",
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      "start": 160.5,
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      "text": "类似于CED的这种数据生成的",
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    {
      "start": 163.34,
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      "text": "参数生成的方式",
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    {
      "start": 164.42,
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      "text": "这种方式",
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    {
      "start": 165.18,
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      "text": "其实整个行业来讲",
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    {
      "start": 167.32,
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      "text": "还没有做得很好",
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    {
      "start": 168.54,
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      "text": "但是他这个火车",
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      "start": 169.52,
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      "text": "我觉得做得还可以",
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      "start": 170.72,
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      "text": "而且每一个对象",
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      "start": 172.9,
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      "text": "都是可编辑的",
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    {
      "start": 174.08,
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      "text": "大家可以看这个模型",
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      "start": 175.78,
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      "text": "我给大家图纸",
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      "start": 176.98,
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      "text": "那个图纸可能都不准确",
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    {
      "start": 179.3,
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      "text": "但我也不是军事专家",
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      "start": 180.92,
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      "text": "这个图纸切心爆缆和短炮管",
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      "start": 183.38,
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      "text": "他给我的意见是更接近爆2A5",
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      "start": 186.9,
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      "text": "其实我觉得他这种视觉",
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    {
      "start": 189.8,
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      "text": "已经到了挺牛逼的程度",
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      "start": 191.52,
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      "text": "因为我们给大家图纸",
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      "start": 193.92,
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      "text": "其实是个很笼笼的爆2",
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      "start": 195.42,
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      "text": "但实际上爆2应该是有很多型号",
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    {
      "start": 198.28,
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      "text": "应该跟iPhone手机一样",
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      "text": "也有很多型号",
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      "text": "你不能笼笼的说爆2",
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    {
      "start": 202.16,
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      "text": "他找到了准确的型号",
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    {
      "start": 204.08,
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      "text": "通过视觉分析反推出型号之后",
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    {
      "start": 206.98,
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      "text": "他会按照图纸的外形",
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    {
      "start": 208.74,
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      "text": "并保留侧面七个负重轮",
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    {
      "start": 210.78,
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      "text": "独立履带",
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    {
      "start": 211.82,
      "end": 213.18,
      "text": "侧边群板",
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    {
      "start": 213.18,
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      "text": "好打附线",
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      "start": 213.96,
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      "text": "首先他如果要",
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      "text": "我觉得他应该很快就能做出来",
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      "text": "首先他分析图纸",
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      "start": 219.6,
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      "text": "现在已经比以前要强了",
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    {
      "start": 221.26,
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      "text": "他能分析出正确的产品型号",
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    {
      "start": 225.9,
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      "text": "也能分析出他的一些组装结构",
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    {
      "start": 229.0,
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      "text": "这是他成功的第一步",
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      "start": 230.48,
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      "text": "他首先能看懂了",
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    {
      "start": 231.6,
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      "text": "他才会去编辑",
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      "text": "图纸没有尺寸标志",
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      "text": "模型比例会做",
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    {
      "start": 237.22,
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      "text": "做金丝校准",
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    {
      "start": 239.62,
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      "text": "厂家资料也确定了",
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      "start": 241.36,
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      "text": "A5使用较短的",
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      "start": 243.2,
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      "text": "那他其实就是",
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      "text": "你这张图纸",
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      "start": 245.3,
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      "text": "我们可以看",
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      "start": 246.04,
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      "text": "我们学习的作者",
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      "text": "他给的图纸也没有",
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      "start": 249.72,
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      "text": "有",
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      "text": "我看看",
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    {
      "start": 251.68,
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      "text": "有尺寸参考",
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    {
      "start": 252.84,
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      "text": "但是没有那种",
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    {
      "start": 254.1,
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      "text": "CED型的那种尺寸参考",
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    {
      "start": 256.08,
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      "text": "我们就尽量跟他一样",
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    {
      "start": 258.22,
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      "text": "我们给他",
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    {
      "start": 258.8,
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      "text": "连个总参考都没有",
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    {
      "start": 260.54,
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      "text": "因为我觉得",
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    {
      "start": 261.54,
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      "text": "他可以去这个网站上找一个",
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    {
      "start": 264.12,
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      "text": "整个报二的数据库",
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    {
      "start": 265.7,
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      "text": "他应该是在网上能找到的",
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    {
      "start": 267.18,
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      "text": "就是他的总长之类的",
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    {
      "start": 269.66,
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      "text": "我们再稍等一会",
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    {
      "start": 271.64,
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      "text": "报家伙",
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    {
      "start": 273.06,
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      "text": "他正在分析",
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    {
      "start": 274.08,
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      "text": "我看他有一个参考资料",
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    {
      "start": 276.12,
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      "text": "他直接就跑到这来参考了",
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    {
      "start": 278.08,
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      "text": "这应该是一个",
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    {
      "start": 279.24,
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      "text": "德国的报二的官网",
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    {
      "start": 282.5,
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      "text": "还是什么的",
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    {
      "start": 283.62,
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      "text": "不太清楚",
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    {
      "start": 284.56,
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      "text": "他这上面就有报二的所有的参数",
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    {
      "start": 286.88,
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      "text": "那这就没办法了",
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      "start": 289.42,
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      "text": "其实我给他图纸",
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    {
      "start": 290.9,
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      "text": "也真的就给了个寂寞",
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      "start": 292.38,
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      "text": "他有一些不清楚的数据",
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    {
      "start": 294.08,
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      "text": "他自己会去找",
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    {
      "start": 295.06,
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      "text": "确实是挺厉害",
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    {
      "start": 296.58,
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      "text": "我们在等的过程中",
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    {
      "start": 298.12,
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      "text": "你看主要模型已经完成",
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      "text": "原图也会打包进blender文件",
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      "start": 302.76,
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      "text": "接下来生成模型",
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    {
      "start": 304.48,
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      "text": "并渲染测试之图",
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    {
      "start": 306.52,
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      "text": "检查比例",
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      "start": 307.62,
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      "text": "他自己其实新的这个模型",
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    {
      "start": 310.34,
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      "text": "他的整个逻辑闭环还可以",
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    {
      "start": 311.94,
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      "text": "他模型建完之后",
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    {
      "start": 313.42,
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      "text": "不是说把图原图给我们就行了",
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    {
      "start": 315.46,
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      "text": "他接下来还会生成渲染",
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      "start": 317.84,
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      "text": "因为blender是开源软件",
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      "start": 320.14,
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      "text": "所以它调用blender是没有问题的",
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      "start": 322.42,
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      "text": "它测试三视图之后",
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    {
      "start": 323.82,
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      "text": "检查比例",
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    {
      "start": 324.6,
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      "text": "组装",
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    {
      "start": 325.46,
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      "text": "它已经生成了各个部件之后",
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      "start": 328.46,
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      "text": "它自行组装",
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    {
      "start": 329.58,
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      "text": "但是我们现在还没看到具体",
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    {
      "start": 331.1,
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      "text": "它生成的样子是什么",
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    {
      "start": 333.18,
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      "text": "但我们稍等的过程中",
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    {
      "start": 334.42,
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      "text": "给大家顺便再说一下",
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      "start": 335.8,
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      "text": "最近还有一个新模型出来",
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      "start": 338.02,
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      "text": "就是这个Gemini 3.8",
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    {
      "start": 339.48,
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      "text": "因为最近几个月",
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      "start": 340.6,
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      "text": "我一直在用这个3.7",
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    {
      "start": 341.82,
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      "text": "其实还不错",
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    {
      "start": 342.68,
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      "text": "它其实等价于",
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    {
      "start": 344.12,
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      "text": "TedJPD的一个中等型号的模型",
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      "start": 347.64,
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      "text": "这个3.8出来",
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    {
      "start": 350.12,
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      "text": "我还没有测试",
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      "start": 350.94,
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      "text": "那我们今天顺便就让3.8测试一下",
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    {
      "start": 353.26,
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      "text": "但我们可以肯定的是",
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      "start": 354.72,
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      "text": "Gemini可能不太和这个Astro相比",
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    {
      "start": 358.98,
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      "text": "应该是不是同一个级别的模型",
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    {
      "start": 361.76,
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      "text": "但是我们也可以测试一下",
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    {
      "start": 363.62,
      "end": 365.3,
      "text": "让它我们TGC一样",
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    {
      "start": 365.3,
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      "text": "让它去做一下",
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    {
      "start": 367.0,
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      "text": "我们放到桌面",
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    {
      "start": 368.52,
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      "text": "名称文件加名为Gemini测试",
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    {
      "start": 373.64,
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      "text": "我们主要是这个做测试用",
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    {
      "start": 376.4,
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      "text": "所以我们让它名称换一个",
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    {
      "start": 378.48,
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      "text": "否则就跟这个ChatGPT一样了",
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    {
      "start": 381.26,
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      "text": "好我们让它试着跑一下",
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    {
      "start": 382.74,
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      "text": "当然它做东西",
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      "start": 383.98,
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      "text": "我认为可能跟这个新出的Astro还不太一样",
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    {
      "start": 386.98,
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      "text": "因为我就没有见过谁用这个Gemney",
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    {
      "start": 390.02,
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      "text": "做出过比较复杂的网页还可以",
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    {
      "start": 393.14,
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      "text": "但是复杂的Blender模型还是没有见过",
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    {
      "start": 395.92,
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      "text": "所以我今天就让这两家做一个",
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      "start": 397.78,
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      "text": "我手上现在直接能用的两个",
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    {
      "start": 401.9,
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      "text": "应该是这两天都前后角",
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    {
      "start": 404.28,
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      "text": "这是前天出来的模型",
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      "start": 406.42,
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      "text": "这是昨天出来的模型",
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    {
      "start": 407.68,
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      "text": "我们让这两家进行一个",
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    {
      "start": 409.72,
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      "text": "比较现实的对比",
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    {
      "start": 411.36,
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      "text": "让他感受一下一线的一个模型",
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    {
      "start": 413.42,
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      "text": "他们的一个能力水平",
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      "start": 415.1,
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      "text": "其实有时候为什么",
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    {
      "start": 417.04,
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      "text": "你看我",
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    {
      "start": 417.96,
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      "text": "看我频道的很多人都是刚入门的",
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    {
      "start": 420.46,
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      "text": "这个小白",
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    {
      "start": 421.06,
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      "text": "为什么我要录这种比较",
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    {
      "start": 423.02,
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      "text": "前沿的这些模型的视频",
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    {
      "start": 425.16,
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      "text": "主要是我感觉",
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    {
      "start": 426.24,
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      "text": "就算你有些人暂时用不到",
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    {
      "start": 429.28,
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      "text": "或者是也用不到这么先进的技术",
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      "start": 431.22,
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      "text": "但是他",
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    {
      "start": 433.72,
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      "text": "或者用Workbody之类的软件的时候",
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      "start": 435.72,
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      "text": "他也知道整个行业发展",
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    {
      "start": 437.3,
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      "text": "最终的方向在哪",
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      "start": 438.86,
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      "text": "有一些东西他不要自己去折腾了",
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      "start": 442.54,
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      "text": "你准备的那些结构",
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      "start": 444.38,
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      "text": "包括一些想法",
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      "start": 445.36,
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      "text": "可能无用功",
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      "start": 446.68,
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      "text": "是这样子的一个情况",
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      "start": 448.34,
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      "text": "Gemini 3.8的特点",
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    {
      "start": 450.78,
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      "text": "根据我自己的使用",
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      "start": 451.96,
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      "text": "他速度比较快一些",
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      "start": 453.18,
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      "text": "他干什么事速度都特别快",
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      "start": 455.42,
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      "text": "但是不保质量",
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      "text": "看似要比这个Gemini",
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      "start": 458.42,
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      "text": "喷东西喷出来的要快",
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      "start": 460.16,
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      "text": "但是他有时候",
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      "start": 461.72,
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      "text": "靠谱性就比较差一些",
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      "text": "有时候玩了",
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      "start": 464.74,
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      "text": "它质量很差",
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    {
      "start": 465.58,
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      "text": "好家伙",
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      "start": 467.14,
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      "text": "我感觉",
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    {
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      "text": "大家现在看右边这张图",
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      "text": "这张图不是网上的",
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      "text": "这张图它是",
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      "text": "根据它生成的模型",
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      "start": 474.62,
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      "text": "做了一个自测渲染",
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      "start": 476.64,
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      "text": "那我觉得",
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      "start": 478.28,
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      "text": "以后建模",
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      "text": "图纸设计的应该是没问题",
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      "start": 497.32,
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      "text": "大家再稍等一下",
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      "start": 498.62,
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      "text": "我觉得我还有点激动",
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      "start": 500.28,
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      "text": "我觉得他这个有点神",
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      "start": 502.2,
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      "text": "为了区别",
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      "start": 504.06,
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      "text": "我们现在直接用AI",
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      "start": 505.92,
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      "text": "直接用AI生成这种图纸模型",
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      "start": 509.06,
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      "text": "为了区别",
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      "text": "有些人说",
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      "text": "这AI早都能生成模型了",
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      "start": 512.5,
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      "text": "就类似于这种",
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      "text": "它是通过照片",
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      "start": 514.68,
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      "text": "然后通过神经网络",
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      "start": 516.0,
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      "text": "生成的这种一体化模型",
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      "start": 517.86,
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      "text": "它也能拆件",
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      "start": 518.88,
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      "text": "但是两个工作原理是不同的",
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      "start": 521.58,
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      "text": "两个工作原理",
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    {
      "start": 522.62,
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      "text": "这个要跟大家区别说明一下",
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      "start": 524.26,
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      "text": "因为这些模型",
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      "start": 525.56,
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      "text": "它是通过那种",
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    {
      "start": 527.5,
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      "text": "怎么讲",
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    {
      "start": 528.44,
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      "text": "它内部直接用AI",
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    {
      "start": 530.04,
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      "text": "去做的一个神经网络生涂",
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    {
      "start": 532.06,
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      "text": "它本身是一种",
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      "start": 534.22,
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      "text": "怎么讲",
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      "start": 535.24,
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      "text": "生出来的这些模型",
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    {
      "start": 536.42,
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      "text": "它是浑然一体的",
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    {
      "start": 538.32,
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      "text": "也就是说每个部件",
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    {
      "start": 539.92,
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      "text": "它是不可编辑的",
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    {
      "start": 542.24,
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      "text": "这么来讲",
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      "start": 542.68,
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      "text": "它是不可编辑的",
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    {
      "start": 543.82,
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      "text": "这个跟最近",
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      "start": 544.86,
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      "text": "我们经常见的这个",
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    {
      "start": 547.14,
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      "text": "涂生3D的原理",
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    {
      "start": 550.44,
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      "text": "是完全不一样的原理",
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    {
      "start": 553.22,
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      "text": "好",
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    {
      "start": 554.1,
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      "text": "我们这里接着看",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 555.56,
      "end": 557.36,
      "text": "它走到哪一步了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 557.36,
      "end": 559.42,
      "text": "Gemini这边也在做",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 559.42,
      "end": 561.12,
      "text": "Gemini正在系统的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 561.12,
      "end": 563.24,
      "text": "Blender引擎和模型生成",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 563.24,
      "end": 564.6,
      "text": "正在后台运行",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 564.6,
      "end": 566.36,
      "text": "我不知道它会不会两个打架",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 566.36,
      "end": 567.5,
      "text": "但是这边已经用完了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 567.5,
      "end": 568.26,
      "text": "我们再稍等一下",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 568.26,
      "end": 570.46,
      "text": "因为我们刚说的这个图声",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
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    {
      "start": 570.46,
      "end": 571.46,
      "text": "看一下",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 571.46,
      "end": 573.64,
      "text": "因为我们刚说的这种模式",
      "chunk": 1,
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      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 573.64,
      "end": 576.58,
      "text": "它生成游戏动漫是没问题的",
      "chunk": 1,
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      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 576.58,
      "end": 577.3,
      "text": "生成好",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 577.3,
      "end": 578.82,
      "text": "激动人心的时刻到了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
    },
    {
      "start": 578.82,
      "end": 580.68,
      "text": "这个我们可以看到",
      "chunk": 1,
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      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
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    {
      "start": 580.68,
      "end": 582.34,
      "text": "Gemini是跟这个",
      "chunk": 1,
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      "avg_logprob": -0.13968321927793467,
      "no_speech_prob": 1.689167555829485e-11,
      "compression_ratio": 1.3944636678200693
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    {
      "start": 582.34,
      "end": 584.68,
      "text": "ChatGP同时完成的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
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    {
      "start": 584.68,
      "end": 586.6,
      "text": "但是Gemily是后开始的",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 586.6,
      "end": 587.86,
      "text": "你就想它速度有多快",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 587.86,
      "end": 588.78,
      "text": "大家可以看",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 588.78,
      "end": 590.84,
      "text": "Gemily生成的就是这个样子",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 590.84,
      "end": 592.1,
      "text": "我们快速看一下",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 592.1,
      "end": 593.88,
      "text": "Gemily生成的是这个样子",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 593.88,
      "end": 595.14,
      "text": "那就很开玩笑的",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 595.14,
      "end": 598.34,
      "text": "我们的ChatGP生成的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 598.34,
      "end": 600.3,
      "text": "我认为已经达到",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 600.3,
      "end": 602.84,
      "text": "我把它文件打开看一下",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 602.84,
      "end": 604.56,
      "text": "我们首先看一下",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 604.56,
      "end": 605.46,
      "text": "他们的生成文",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 605.46,
      "end": 606.74,
      "text": "这是Gemily生成的文件",
      "chunk": 1,
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      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 606.74,
      "end": 607.48,
      "text": "放到这个包",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 607.48,
      "end": 608.76,
      "text": "这个应该是",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 608.76,
      "end": 609.82,
      "text": "我给大家写一下",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 609.82,
      "end": 611.46,
      "text": "这个应该是",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.18329159313479795,
      "no_speech_prob": 2.2119717515978188e-11,
      "compression_ratio": 1.558139534883721
    },
    {
      "start": 611.46,
      "end": 613.4,
      "text": "JetVS所生成的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 613.4,
      "end": 617.18,
      "text": "这个应该是我中文区全网第一个去做的实测",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 617.18,
      "end": 619.32,
      "text": "因为我没有看到谁真的",
      "chunk": 1,
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      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 619.32,
      "end": 621.04,
      "text": "我们可以看一下它外头",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 621.04,
      "end": 624.24,
      "text": "你看参考图报告使用说明",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 624.24,
      "end": 626.16,
      "text": "这个对模型圈来说",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 626.16,
      "end": 627.44,
      "text": "这种参数化的模型",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 627.44,
      "end": 629.48,
      "text": "我们可以看非常的精准",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 629.48,
      "end": 632.14,
      "text": "这个大家可以对比图纸看一下",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 632.14,
      "end": 634.0,
      "text": "大家可以对比图看",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 634.0,
      "end": 636.12,
      "text": "如果有做模型的小伙伴",
      "chunk": 1,
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      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 636.12,
      "end": 639.92,
      "text": "应该对这种参数化模型的设计非常了解",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 639.92,
      "end": 640.8,
      "text": "就知道我的意思",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.1200499101118608,
      "no_speech_prob": 2.3922001532450388e-11,
      "compression_ratio": 1.4695340501792116
    },
    {
      "start": 640.8,
      "end": 643.46,
      "text": "它不是那种随便做的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 643.46,
      "end": 645.08,
      "text": "而且对于这个",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 645.08,
      "end": 648.12,
      "text": "我觉得以后可能会对于整个CED行业",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 648.12,
      "end": 650.78,
      "text": "包括参数化这种设计行业",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 650.78,
      "end": 651.94,
      "text": "会产生巨大震荡",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 651.94,
      "end": 653.66,
      "text": "因为参数化设计行业",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 653.66,
      "end": 655.42,
      "text": "他们现在拿到的这个",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 655.42,
      "end": 657.36,
      "text": "大家可以看",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 657.36,
      "end": 660.18,
      "text": "它连涂装都给做好了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 660.18,
      "end": 661.42,
      "text": "我们可以看",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 661.42,
      "end": 662.44,
      "text": "不得了不得了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 662.44,
      "end": 663.38,
      "text": "连涂装都给了",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 663.38,
      "end": 666.32,
      "text": "大家觉得如果说我们这种参数化模型",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 666.32,
      "end": 667.38,
      "text": "可以做到这一步",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 667.38,
      "end": 669.5,
      "text": "那我们后期比如说做一些游戏",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09460963624896425,
      "no_speech_prob": 1.792083495488761e-11,
      "compression_ratio": 1.5
    },
    {
      "start": 669.5,
      "end": 671.62,
      "text": "或者需要这样的精准的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09508917881892277,
      "no_speech_prob": 1.6441228586905332e-11,
      "compression_ratio": 1.6666666666666667
    },
    {
      "start": 671.62,
      "end": 673.42,
      "text": "游戏里面有一些不需要精准的",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09508917881892277,
      "no_speech_prob": 1.6441228586905332e-11,
      "compression_ratio": 1.6666666666666667
    },
    {
      "start": 673.42,
      "end": 676.72,
      "text": "甚至我们游戏行业其实不需要",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09508917881892277,
      "no_speech_prob": 1.6441228586905332e-11,
      "compression_ratio": 1.6666666666666667
    },
    {
      "start": 676.72,
      "end": 678.76,
      "text": "我觉得这个可能对这种工业",
      "chunk": 1,
      "language": "zh",
      "avg_logprob": -0.09508917881892277,
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      "compression_ratio": 1.6666666666666667
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    {
      "start": 678.76,
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      "text": "大家可以看模型",
      "chunk": 1,
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      "avg_logprob": -0.09508917881892277,
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    {
      "start": 679.88,
      "end": 681.98,
      "text": "大家可以看这个模型不是",
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    {
      "start": 681.98,
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      "text": "这个模型不是这个",
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    {
      "start": 683.6,
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      "text": "大家可以看它是完全可编辑的",
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    {
      "start": 687.16,
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      "text": "也就是说我们",
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      "no_speech_prob": 1.6441228586905332e-11,
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    {
      "start": 689.0,
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      "text": "当然它做了涂装我比较震惊",
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    {
      "start": 691.2,
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      "text": "但是怎么说",
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    {
      "start": 692.32,
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      "text": "你大家可以看完全是可编辑的",
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    {
      "start": 695.34,
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      "text": "也就是说我们的",
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    {
      "start": 697.0,
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      "text": "比如说我们现在选择一个对象之后",
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    {
      "start": 699.44,
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      "text": "它的一些这种参数",
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    {
      "start": 701.44,
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      "text": "包括它的一些分切",
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    {
      "start": 703.56,
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      "text": "这些都是可以进行一个改变的",
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    {
      "start": 705.72,
      "end": 707.26,
      "text": "分段什么尺寸",
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    {
      "start": 707.26,
      "end": 709.94,
      "text": "相当于跟人手工去做成这个模型",
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    {
      "start": 709.94,
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      "text": "差不太多",
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    {
      "start": 711.0,
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      "text": "大家可以看",
      "chunk": 1,
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      "avg_logprob": -0.07382723093032836,
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    {
      "start": 711.56,
      "end": 713.18,
      "text": "这些分段是可以改变的",
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    {
      "start": 713.18,
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      "text": "跟人手工做模型",
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    {
      "start": 714.5,
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      "text": "做出来的效果几乎是一样的",
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    {
      "start": 716.56,
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      "text": "这个懂得",
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    {
      "start": 717.78,
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      "text": "今天给大家展示的",
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    {
      "start": 720.22,
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      "text": "基本上内容就是这样子",
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    {
      "start": 721.6,
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      "text": "这个Blender",
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      "start": 722.18,
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      "text": "因为我很久没有做过这个三维模型了",
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    {
      "start": 724.56,
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      "text": "我以前是做过这种3D模型的工作的",
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    {
      "start": 728.12,
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      "text": "但是好久不用有点生疏了",
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      "start": 730.04,
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      "text": "但是基本原理就这样",
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    {
      "start": 731.18,
      "end": 734.38,
      "text": "懂行的应该是一眼能看懂这个事情的牛逼程度的",
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    {
      "start": 734.38,
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      "text": "不用我去多去吹这个东西",
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    {
      "start": 736.6,
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      "text": "我们比如说这个简单看一下",
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    {
      "start": 740.38,
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      "text": "我所说的整个模型",
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    {
      "start": 742.62,
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      "text": "大家可以看",
      "chunk": 1,
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      "avg_logprob": -0.09525941667102632,
      "no_speech_prob": 1.9512308435665204e-11,
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    {
      "start": 743.68,
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      "text": "我给大家这个可编辑",
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    {
      "start": 745.42,
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      "text": "有些因为没有做过模型工作的小伙伴",
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    {
      "start": 748.08,
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      "text": "可能不太了解什么意思",
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    {
      "start": 749.28,
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      "text": "我说的是什么意思",
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    {
      "start": 750.34,
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      "text": "这里面有多少个对象",
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    {
      "start": 752.44,
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      "text": "应该有几十个有上千个对象了",
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    {
      "start": 755.26,
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      "text": "他做我们这个工程应该是用到了上千个对象",
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    {
      "start": 758.02,
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      "text": "我给大家把一个一个拆开给看",
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      "start": 761.18,
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      "text": "每一个螺丝",
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      "start": 762.3,
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      "text": "它应该是达不到工业级的标准",
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      "text": "但是如果说你是做这种手办模型来说",
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      "start": 767.46,
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      "text": "我认为它",
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    {
      "start": 768.28,
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      "text": "你们拆件这件事就不用去考虑了",
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    {
      "start": 770.88,
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      "text": "它直接给你们把拆件工作就做",
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    {
      "start": 773.12,
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      "text": "大家可以看",
      "chunk": 1,
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    {
      "start": 773.74,
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      "text": "大家可以看",
      "chunk": 1,
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      "avg_logprob": -0.0980901777374078,
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      "start": 776.22,
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      "text": "这就是我们",
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    {
      "start": 777.1,
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      "text": "我说的这个",
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    {
      "start": 778.28,
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      "text": "是真的牛逼的一种生涂的方式",
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    {
      "start": 782.76,
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      "text": "就是它完全理解图纸",
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    {
      "start": 784.42,
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      "text": "然后一件一件做",
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    {
      "start": 785.38,
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      "text": "做完之后进行了一个组合",
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    {
      "start": 787.9,
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      "text": "这个就是我给大家看的",
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    {
      "start": 790.24,
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      "text": "今天我非常震惊的一个东西",
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    {
      "start": 792.56,
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      "text": "我们现在可以看一下",
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    {
      "start": 794.72,
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      "text": "这个使用说明",
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    {
      "start": 796.12,
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      "text": "我不知道它啥意思",
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    {
      "start": 797.02,
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      "text": "我们都看看",
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    {
      "start": 797.78,
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      "text": "它给写了一份使用说明",
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    {
      "start": 800.56,
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      "text": "我是告诉大家可以看",
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    {
      "start": 801.9,
      "end": 804.82,
      "text": "用途完整模型材质控制器灯光",
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      "no_speech_prob": 1.6360893542732846e-11,
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    {
      "start": 804.82,
      "end": 806.2,
      "text": "舞台摄影机打包",
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      "text": "我们车辆一共有789个对象",
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      "text": "这不得了",
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    {
      "start": 819.74,
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      "text": "这个东西",
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      "start": 820.24,
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      "text": "我只能说",
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      "text": "不得了",
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      "text": "你想想看",
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      "start": 823.34,
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      "text": "他顺便给我们",
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    {
      "start": 823.98,
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      "text": "把几十图也做了",
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    {
      "start": 825.14,
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      "text": "最后给了一个",
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    {
      "start": 825.8,
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      "text": "工业级的渲染图",
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      "text": "如果做手办和模型的",
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      "text": "可以稍微",
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      "text": "关注一下",
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      "text": "我这期视频",
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      "text": "有些事情可能",
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    {
      "start": 832.78,
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      "text": "会产生一些变化",
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      "text": "那我们看一下",
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      "start": 835.44,
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      "text": "比较拉垮的",
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      "text": "Gemini模型",
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      "start": 836.88,
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      "text": "它也是3.8",
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      "text": "昨天才出来的",
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      "text": "它做的",
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    {
      "start": 839.88,
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      "text": "那我们就不打开",
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      "start": 842.08,
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      "text": "把OBJ做出来",
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      "text": "但是你看",
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      "text": "这个是其实",
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      "text": "大家看",
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    {
      "start": 846.42,
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      "text": "这个做的比较拉垮",
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      "start": 847.48,
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      "text": "但其实这也是行业",
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      "text": "我们ChadGPT昨天出来的",
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    {
      "start": 851.74,
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      "text": "宇航员模型是比较顶尖的模型",
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      "text": "Gemini这个模型",
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      "start": 854.38,
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      "text": "其实是属于行业",
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      "text": "行业大多数情况现在",
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      "text": "我认为也不惊讶",
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      "text": "但是就这情况了",
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    {
      "start": 860.82,
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      "text": "我们主要做一个对比",
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    {
      "start": 861.98,
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    {
      "start": 864.6,
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      "text": "到底我给他调的是极高",
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    {
      "start": 866.02,
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      "text": "到底厉害到什么程度",
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    {
      "start": 867.26,
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      "text": "这个是我们的灵感来源于",
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    {
      "start": 869.98,
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      "text": "Tom的一个",
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      "text": "因为他坐了一个火车",
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      "start": 874.72,
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      "text": "我就坐了一个报时坦克的",
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    {
      "start": 876.26,
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      "text": "希望这期视频对大家有帮助",
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      "text": "这两天我自己录制了一个",
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      "text": "AI新手入门课",
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      "text": "如果你想熟悉熟练使用AI的课程",
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    {
      "start": 885.24,
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      "text": "可以登录我的个人博客",
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      "text": "就是我B站的账号",
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      "start": 893.74,
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      "text": "海森堡的账号",
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      "text": "加上.com",
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      "text": "课程其实地址就是在这个",
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