{ "text": "今天,DeepSea团队给我们带来了一个全新的模型。\n也就是Deep Seek V4系列里的Deep Seek V4.1 Flash。\n这是一个临时测试版,会在9月10日过期。\n而且里面其实有很多东西值得了。\nDeep Seek声称,Version 4.1 Flash基于全新的架构。\n原生支持多模态,而且速度明显更快。\n但价格还是Version 4的水平。\n他们发布这个模型的方式也挺离谱的。\n现在看他们到底会怎么做\n真的很有意思\n目前还没有官方基准\n参数量或者权重\n他们基本上就是直接说\n这是接口\n你有两天时间\n试着把它攻破\n你可以通过现有的Deep Seek API访问它\n使用Deep Seek Version 4.1 Flash的Model ID\n它有效期到9月10\n目前价格和4 Flash一样\n不过测试请求每个账号最多只能同时发20个\nDeep Seek甚至还会问测试者\n这个新架构未来能不能彻底取代4Pro\n这也让这次临时发布更有看透\nDeep Seek 4.1 Flash的速度快得惊人\n他们每秒大约能处理400个Token\n说实话\n这个速度真的太夸张了\n它生成回复快的惊人\n现在这个模型在速度上确实是在和Muse Part 1\n三正面竞争\n这真是相当离谱\n而且它比Muse模型便宜得多\n但记住\n9月10日之前\n这个测试版就会消失了\n我也知道\n最近因为DeepSea的新价格\n不少人心里都不太舒服\n不过看起来\n这一切很快就会变\nDeepSea也会在9月10日\n北京时间12\n00下调Version 4 Flash的价格\n有了新的Cash\n输入成本会从每百万\ninput tokens赢\n0075美分降到0.003美分\n缓存未命重时\n输入数据的成本\n也会从每百万tokens约22美分降到15美分\n输出数据的成本\n则会从每百万output tokens67美分降到60美分\n至于高峰时段的价格\n它们将保持不变\n虽然在两倍速下看起来没变\n但总体来说\nDeep6 Flash正在变得更快\n也更便宜\n如果4.1 Flash真的只是这种架构的预览\n那我接下来要展示的几个演示版本\n都会让我们在新的Pearl上\n连同这条基于新架构的新模型线一起\n明显处于劣势\nAI领域有很多内容\n我不会发到YouTube频道上\n但你可以在我免费的Newsletter里找到它们\n链接就在下方简介里\n你可以完全免费订阅\n不过朋友们\n我拍这条视频的原因是\n这个模型在生成各种代码\n视力方面真的非常强\n这就是Deep6\nE-Flash在我们频道之前测试过的\n几乎所有领域都超过的地方\n从3D环境\n编码\n到前端输出\n还有很多其他方面\n这次测试里\n4.1 Flash和另一个神秘模型做了对比\n而这个神秘模型\n很可能是Brog 4.7\n你可以看到\n这个模型有多强\n尤其是在3GS环境里\n搭建七大奇迹的时候\n区别在于\n4.1 Flash版本完成这两个测试\n大概花了两个小时\n花费2\n60美元\n而Secret Model只用了30分钟\n就完成了两个测试\n第二个模型的价格没有公布\n不过目前Version 4\nE-Flash最大的问题是\n它花太多时间在思考和做一些没必要的测试上\n严重拖慢了流程\n但最终拿到的结果能力还是挺惊人的\n我知道我刚才说过Deep Seek 4\nE-Flash有点太爱过度思考了\n但很多时候\n这个模型其实快得离谱\n我真的很好\n其Deep Seek背后到底用了什么架构\n因为从这些测试里你能看到\n它在解码时平均每秒能输出大约350个Token\n对这种能力级别的推理模型来说\n这速度真的非常夸张\n挺让人印象深刻的\n尤其考虑到这还只是一个临时测试版\n在3D建模里\nDeep Seek Version 4\nE Flash相比前代已经迈出了决定性的一步\n它能用3JS生成相当出色的内容\n尤其是在配合Deep Seek Toolkit\n并把推理能力开到最高时\n当被要求创建一个经典的中式园林时\n它一气呵成的生成了所有回廊\n甚至连池塘都一次完成了\n还用Shader反射出所有建筑\n细节多的超出你对任何其他模型的预期\n这是我完全没想到的\n尤其是Deep Seek Version 4这一系列模型\n不过4\nE-Flash模型却一下就做出来了\n这不是一张静态图\n整个环境都是可交互的\n而且直接在浏览器里运行\n所以很高兴看到\n这个模型已经能生成这种水平了\n当然\n推理过程还是比较慢\n不过程序代码本身生成的很快\n大约每秒300到400个Token\n接下来是一个由Dip6\nE-Flash生成的火箭发射模拟\n我们把它和Fable 5.1\nGPT-6 Astra以及Kemic A3做了对比\n然后你\n你能明显看出\nDeep Seek 4.1相比\n上一版有了很明显的视觉提升\n环境和整体画质都挺稳\n但物理效果还是有点让人怀疑\n当然\n它没有Fable和GPT-6那么聪明\n甚至还不如Kemic 3\n这算是唯一的区点\n不过火箭发射后\n你会发现它不是按正常轨迹飞\n而是在空中像桶一样开始打转\n更现实地走向\n和其他模型相比,质量上确实还有一点差距。\n但作为一个Fresh版本,他已经很惊艳了。\n它在质量不差的同时,速度比Kimiko 3更快,成本也更低。\n这对开源社区来说是个很大的优势\n这是Ditsick version 4.1 Flash的体速生成结果\n真的完全超出我的预期\n它加了一层很轻的氛围感\n这种环境里大多数模型通常都做不到\n还加了鸟\n能正常工作的瀑布\n以及一些其他元素\n比如风车\n能看到Deep Seek Version 4\nE-Flash竟然能做出这种东西\n真的很不可思议\n这里,Deep Seek Version 4.1 Flash已经建起了一个,一个完整的Minecraft克隆版,而且看起来还不错。\n我真没想到Deep Seek模型能做到这一点。\n因为我拿来测试的多数模型,碰到这种请求通常都会失败。\n根本没法像原来的Sandbox那样在世界里生成任何组件。\n不过这次我们看到,它成功把不同的纹理和组件都完整写出来了。\n荡然\n他还达不到Fable或GPT的水平\n但只用了8分钟\n就做出了一个出乎意料\n还不错的Minecraft风格游戏体验\n而且整个生成成本\n真的就只是几分钱\n能看到一个完整的Minecraft克隆版只要这么点钱\n还是挺离谱的\n要是把同样的请求发给GVT6\n甚至Fable 5.1肯定会贵得多\n但用这个工具几乎花不了什么钱\n还是很值得考虑的\n当然如果你有时间\n可以用这个模型来做很多基础任务或者复杂任务\n然后再切到GVT或Fable模型去处理更快更复杂的工作\n我真的很喜欢这个生成效果。\n因为他们居然能做出这个靠近火山的Pucket\n把他放到一个岛上,还加了背景音效和音乐。\n简直太惊艳了\n模型还能把整个环境都捕捉出来\n连周围和地形都考虑进去了\n你还能看到不同的\n把火山灯光和氛围都放进一个画面里\n真的很棒\n下面是Deep Seek 4.1 Flash和上一代4 Flash的对比\n在这次测试里,模型用了大约11.2万个Token。\n二十步就完成了任务\n只花了7分41秒\n两个模型都要用BoxoArt做一个Packet\n其中速度一度高达每秒427个Token\n但最夸张的是,4.1版本整个流程只花了30枚份。\n考虑到它的价格、速度和效果,这真的很惊人。\n这确实是个很厉害的模型\n相比你们屏幕上看到的4Flash\n它前进了一大步\n如果你喜欢这个视频\n想支持频道\n可以通过下面的Super Thanks打赏\n或者\n你也可以加入我们的私人Discord服务器\n可以免费每月获取各种AI工具的订阅\n还有AI圈每天的新闻独家内容\n更多好东西也都在这\n朋友们最有意思的是\n这还只是测试版\n他们还会继续完善这个最终版本\n所以这次只测试这个模型两天\n好更好地了解它的能力\n之后他们会继续调整这些基准\n让它适用于大多数情况\n用户会根据收到的反馈来调整\n但这个模型能够在3D环境里\n生成非常惊艳的场景\n而且在其他格式和领域里\n也表现得相当不错\n这一点很让人高兴\n另一个很有意思的测试\n是让这个模型生成摄像机的3D投影\n第一版大概一分钟就生成好了\n经过另外两轮交互后\n完整结果大约就准备好了\n六分钟\n对这样价位的模型来说\n最终效果真的很惊艳\n你可以看到\n它能把相机细节看得很清楚\n演示3D交互\n还把各个部分都展示出来\n这样你就能很轻松地想象出它的所有组件\n这里\n模型专注于创建一个独立的地下城游戏\n这个需求真正有意思的地方在于\n4\nEflash版本居然能执行\n它一次就成功了\n这就是其他模型通常至少要是两次\n而且经常因为路径规划差卡在墙边的原因\n但Deep Seek模型成功在环境里导航\n并且第一次就完成了任务\n再看画面图形其实没那么差\n你可以看到\n他给每个敌人都加了不同的纹理\n他甚至还加了不同的\n还有各种怪物\n背景音效\n各类图形和视觉元素\n还有动画\n所以\n这是另一个很好的例子\n说明4.1 Flash\n不只是快的惊人\n它在Agentic行为和空间思维方面,似乎真的有了明显进步。\n最后,Deep Seek Version 4\nE-Flash在环境里做出了一个完整的Morial Card风格游戏。\n真的太夸张了\n这个模型生成了所有音效\n还有各种环境和地图\n效果真的很惊艳\n而且它只花了大约1.10美元,这里还有两个很大的优点。\n你看到的这个模型运行得快得惊人,而且在这次测试里,它还用自己的视觉能力来完成工作。\n总的来说,我真的很想看看这个模型最后会变成什么样。\n这对DeepSeek团队来说,绝对是个巨大进步。\n从新的架构也能明显看出\n它们很重视速度\n原生视觉能力\n以及全方位交付出色表现\n所以我真的很期待\n看它最后会变成什么样\n记住\n你只有两天时间可以访问这个模型\n所以我非常建议你去试试\n跑跑看\n看看它能为你做什么\n不过话说回来\n朋友们\n我会把今天视频里用到的所有链接\n都放在下面的简介里\n欢迎来\nCenter School看看AI的世界\n那里有免费工具\n我的个人建议\n社区和各种资源\n也欢迎在Coding Path和Benchmark平台\n探索AI世界\n顺便看看我们的第二个频道\n记得订阅我们的Newsletter\n加入Discord\n关注我的Twitter\n最后记得订阅点开通知铃\n给这个视频点赞\n也请看看我们之前的视频\n这样你就能及时了解最新的AI新闻\n说到这\n朋友们\n祝你们今天过得愉快\n传播正能量\n我们很快再见\n再见了\nFloss", "language": "multilingual", "duration": 884.587375, "segments": [ { "start": 0.0, "end": 4.38, "text": "今天,DeepSea团队给我们带来了一个全新的模型。", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 5.61, "end": 9.42, "text": "也就是Deep Seek V4系列里的Deep Seek V4.1 Flash。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 10.28, "end": 13.92, "text": "这是一个临时测试版,会在9月10日过期。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 14.96, "end": 17.46, "text": "而且里面其实有很多东西值得了。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 18.46, "end": 22.42, "text": "Deep Seek声称,Version 4.1 Flash基于全新的架构。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 23.44, "end": 26.24, "text": "原生支持多模态,而且速度明显更快。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 27.06, "end": 28.82, "text": "但价格还是Version 4的水平。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 29.7, "end": 32.6, "text": "他们发布这个模型的方式也挺离谱的。", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 32.6, "end": 35.56, "text": "现在看他们到底会怎么做", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 35.56, "end": 36.96, "text": "真的很有意思", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 36.96, "end": 39.52, "text": "目前还没有官方基准", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 39.52, "end": 41.36, "text": "参数量或者权重", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 41.36, "end": 44.0, "text": "他们基本上就是直接说", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 44.0, "end": 45.02, "text": "这是接口", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 45.02, "end": 46.44, "text": "你有两天时间", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 46.44, "end": 48.56, "text": "试着把它攻破", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 48.56, "end": 51.98, "text": "你可以通过现有的Deep Seek API访问它", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 51.98, "end": 55.86, "text": "使用Deep Seek Version 4.1 Flash的Model ID", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 55.86, "end": 58.12, "text": "它有效期到9月10", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 58.12, "end": 60.74, "text": "目前价格和4 Flash一样", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 60.74, "end": 65.42, "text": "不过测试请求每个账号最多只能同时发20个", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 65.42, "end": 68.62, "text": "Deep Seek甚至还会问测试者", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 68.62, "end": 72.64, "text": "这个新架构未来能不能彻底取代4Pro", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 72.64, "end": 76.38, "text": "这也让这次临时发布更有看透", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 76.38, "end": 80.054, "text": "Deep Seek 4.1 Flash的速度快得惊人", "language": "zh", "chunk": 0, "local_language_run": 1, "language_run": 0 }, { "start": 84.436, "end": 86.866, "text": "他们每秒大约能处理400个Token", "language": "zh", "chunk": 0, "local_language_run": 2, "language_run": 1 }, { "start": 86.866, "end": 88.146, "text": "说实话", "language": "zh", "chunk": 0, "local_language_run": 2, "language_run": 1 }, { "start": 89.681, "end": 91.651, "text": "这个速度真的太夸张了", "language": "zh", "chunk": 0, "local_language_run": 3, "language_run": 1 }, { "start": 91.651, "end": 93.475, "text": "它生成回复快的惊人", "language": "zh", "chunk": 0, "local_language_run": 3, "language_run": 1 }, { "start": 95.378, "end": 99.028, "text": "现在这个模型在速度上确实是在和Muse Part 1", "language": "zh", "chunk": 0, "local_language_run": 4, "language_run": 1 }, { "start": 100.393, "end": 101.323, "text": "三正面竞争", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 101.323, "end": 102.883, "text": "这真是相当离谱", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 102.883, "end": 106.023, "text": "而且它比Muse模型便宜得多", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 106.023, "end": 107.523, "text": "但记住", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 107.523, "end": 108.643, "text": "9月10日之前", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 108.643, "end": 110.303, "text": "这个测试版就会消失了", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 110.303, "end": 111.443, "text": "我也知道", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 111.443, "end": 114.323, "text": "最近因为DeepSea的新价格", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 114.323, "end": 116.263, "text": "不少人心里都不太舒服", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 116.263, "end": 117.883, "text": "不过看起来", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 117.883, "end": 119.423, "text": "这一切很快就会变", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 119.423, "end": 121.843, "text": "DeepSea也会在9月10日", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 121.843, "end": 122.823, "text": "北京时间12", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 122.823, "end": 125.763, "text": "00下调Version 4 Flash的价格", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 125.763, "end": 127.523, "text": "有了新的Cash", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 127.523, "end": 129.483, "text": "输入成本会从每百万", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 129.483, "end": 130.503, "text": "input tokens赢", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 130.503, "end": 133.763, "text": "0075美分降到0.003美分", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 133.763, "end": 135.243, "text": "缓存未命重时", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 135.243, "end": 137.203, "text": "输入数据的成本", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 137.203, "end": 141.463, "text": "也会从每百万tokens约22美分降到15美分", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 141.463, "end": 143.683, "text": "输出数据的成本", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 143.683, "end": 148.003, "text": 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"E-Flash在我们频道之前测试过的", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 200.303, "end": 202.463, "text": "几乎所有领域都超过的地方", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 202.463, "end": 204.503, "text": "从3D环境", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 204.503, "end": 205.363, "text": "编码", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 205.363, "end": 206.403, "text": "到前端输出", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 206.403, "end": 208.143, "text": "还有很多其他方面", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 208.143, "end": 210.083, "text": "这次测试里", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 210.083, "end": 213.483, "text": "4.1 Flash和另一个神秘模型做了对比", "language": "zh", "chunk": 0, "local_language_run": 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"language_run": 1 }, { "start": 263.663, "end": 266.123, "text": "这个模型其实快得离谱", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 266.123, "end": 267.903, "text": "我真的很好", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 267.903, "end": 270.483, "text": "其Deep Seek背后到底用了什么架构", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 270.483, "end": 273.483, "text": "因为从这些测试里你能看到", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 273.483, "end": 277.923, "text": "它在解码时平均每秒能输出大约350个Token", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 277.923, "end": 280.603, "text": "对这种能力级别的推理模型来说", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 280.603, "end": 282.223, "text": "这速度真的非常夸张", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 282.223, "end": 284.583, "text": "挺让人印象深刻的", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 284.583, "end": 287.703, "text": "尤其考虑到这还只是一个临时测试版", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 287.703, "end": 289.603, "text": "在3D建模里", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 289.603, "end": 290.643, "text": "Deep Seek Version 4", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 290.643, "end": 294.343, "text": "E Flash相比前代已经迈出了决定性的一步", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 294.343, "end": 298.363, "text": "它能用3JS生成相当出色的内容", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 298.363, "end": 301.543, "text": "尤其是在配合Deep Seek Toolkit", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 301.543, "end": 304.803, "text": "并把推理能力开到最高时", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 304.803, "end": 308.823, "text": "当被要求创建一个经典的中式园林时", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 308.823, "end": 312.643, "text": "它一气呵成的生成了所有回廊", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 312.643, "end": 315.983, "text": "甚至连池塘都一次完成了", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 315.983, "end": 318.623, "text": "还用Shader反射出所有建筑", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 318.623, "end": 322.863, "text": "细节多的超出你对任何其他模型的预期", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 322.863, "end": 325.243, "text": "这是我完全没想到的", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 325.243, "end": 328.403, "text": "尤其是Deep Seek Version 4这一系列模型", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 328.403, "end": 329.363, "text": "不过4", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 329.363, "end": 332.203, "text": "E-Flash模型却一下就做出来了", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 332.203, "end": 334.503, "text": "这不是一张静态图", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 334.503, "end": 336.723, "text": "整个环境都是可交互的", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 336.723, "end": 339.763, "text": "而且直接在浏览器里运行", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 339.763, "end": 341.643, "text": "所以很高兴看到", "language": "zh", "chunk": 0, "local_language_run": 5, "language_run": 1 }, { "start": 341.643, "end": 345.043, "text": "这个模型已经能生成这种水平了", "language": "zh", "chunk": 0, "local_language_run": 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}, { "start": 398.934, "end": 402.379, "text": "和其他模型相比,质量上确实还有一点差距。", "language": "zh", "chunk": 0, "local_language_run": 6, "language_run": 2 }, { "start": 404.891, "end": 407.788, "text": "但作为一个Fresh版本,他已经很惊艳了。", "language": "zh", "chunk": 0, "local_language_run": 7, "language_run": 3 }, { "start": 410.432, "end": 415.122, "text": "它在质量不差的同时,速度比Kimiko 3更快,成本也更低。", "language": "zh", "chunk": 0, "local_language_run": 8, "language_run": 4 }, { "start": 416.735, "end": 419.536, "text": "这对开源社区来说是个很大的优势", "language": "zh", "chunk": 0, "local_language_run": 9, "language_run": 4 }, { "start": 420.801, "end": 424.405, "text": "这是Ditsick version 4.1 Flash的体速生成结果", "language": "zh", "chunk": 0, "local_language_run": 10, "language_run": 4 }, { "start": 425.778, "end": 427.488, "text": "真的完全超出我的预期", "language": "zh", "chunk": 0, "local_language_run": 11, "language_run": 4 }, { "start": 427.488, "end": 430.268, "text": "它加了一层很轻的氛围感", "language": "zh", "chunk": 0, "local_language_run": 11, 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"local_language_run": 12, "language_run": 4 }, { "start": 481.298, "end": 483.918, "text": "他还达不到Fable或GPT的水平", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 483.918, "end": 485.178, "text": "但只用了8分钟", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 485.178, "end": 487.618, "text": "就做出了一个出乎意料", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 487.618, "end": 490.258, "text": "还不错的Minecraft风格游戏体验", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 490.258, "end": 492.978, "text": "而且整个生成成本", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 492.978, "end": 494.738, "text": "真的就只是几分钱", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 494.738, "end": 499.598, "text": "能看到一个完整的Minecraft克隆版只要这么点钱", "language": "zh", "chunk": 1, "local_language_run": 0, 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"end": 527.878, "text": "然后再切到GVT或Fable模型去处理更快更复杂的工作", "language": "zh", "chunk": 1, "local_language_run": 0, "language_run": 4 }, { "start": 531.712, "end": 534.262, "text": "我真的很喜欢这个生成效果。", "language": "zh", "chunk": 1, "local_language_run": 1, "language_run": 5 }, { "start": 537.9, "end": 541.29, "text": "因为他们居然能做出这个靠近火山的Pucket", "language": "zh", "chunk": 1, "local_language_run": 2, "language_run": 6 }, { "start": 548.066, "end": 551.456, "text": "把他放到一个岛上,还加了背景音效和音乐。", "language": "zh", "chunk": 1, "local_language_run": 3, "language_run": 7 }, { "start": 557.413, "end": 558.633, "text": "简直太惊艳了", "language": "zh", "chunk": 1, "local_language_run": 4, "language_run": 8 }, { "start": 560.57, "end": 562.48, "text": "模型还能把整个环境都捕捉出来", "language": "zh", "chunk": 1, "local_language_run": 5, "language_run": 8 }, { "start": 562.48, "end": 564.74, "text": "连周围和地形都考虑进去了", "language": "zh", "chunk": 1, "local_language_run": 5, "language_run": 8 }, { "start": 564.74, "end": 566.34, "text": "你还能看到不同的", "language": "zh", "chunk": 1, "local_language_run": 5, "language_run": 8 }, { "start": 566.34, "end": 570.38, "text": "把火山灯光和氛围都放进一个画面里", "language": "zh", "chunk": 1, "local_language_run": 5, "language_run": 8 }, { "start": 570.38, "end": 571.48, "text": "真的很棒", "language": "zh", "chunk": 1, "local_language_run": 5, "language_run": 8 }, { "start": 571.48, "end": 576.189, "text": "下面是Deep Seek 4.1 Flash和上一代4 Flash的对比", "language": "zh", "chunk": 1, "local_language_run": 5, "language_run": 8 }, { "start": 578.213, "end": 582.223, "text": "在这次测试里,模型用了大约11.2万个Token。", "language": "zh", "chunk": 1, "local_language_run": 6, "language_run": 9 }, { "start": 584.301, "end": 585.891, "text": "二十步就完成了任务", "language": "zh", "chunk": 1, "local_language_run": 7, "language_run": 10 }, { "start": 585.891, "end": 587.731, "text": "只花了7分41秒", "language": "zh", "chunk": 1, "local_language_run": 7, "language_run": 10 }, { "start": 589.141, "end": 591.988, "text": "两个模型都要用BoxoArt做一个Packet", "language": "zh", "chunk": 1, "local_language_run": 8, "language_run": 10 }, { "start": 595.017, "end": 598.587, "text": "其中速度一度高达每秒427个Token", "language": "zh", "chunk": 1, "local_language_run": 9, "language_run": 11 }, { "start": 599.963, "end": 604.613, "text": "但最夸张的是,4.1版本整个流程只花了30枚份。", "language": "zh", "chunk": 1, "local_language_run": 10, "language_run": 11 }, { "start": 608.989, "end": 612.879, "text": "考虑到它的价格、速度和效果,这真的很惊人。", "language": "zh", "chunk": 1, "local_language_run": 11, "language_run": 12 }, { "start": 617.427, "end": 618.977, "text": "这确实是个很厉害的模型", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 618.977, "end": 621.597, "text": "相比你们屏幕上看到的4Flash", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 621.597, "end": 622.657, "text": "它前进了一大步", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 622.657, "end": 624.517, "text": "如果你喜欢这个视频", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 624.517, "end": 625.517, "text": "想支持频道", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 625.517, "end": 628.077, "text": "可以通过下面的Super Thanks打赏", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 628.077, "end": 628.777, "text": "或者", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 628.777, "end": 631.957, "text": "你也可以加入我们的私人Discord服务器", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 631.957, "end": 635.657, "text": "可以免费每月获取各种AI工具的订阅", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 635.657, "end": 639.117, "text": "还有AI圈每天的新闻独家内容", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 639.117, "end": 641.577, "text": "更多好东西也都在这", "language": "zh", "chunk": 1, 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"text": "是让这个模型生成摄像机的3D投影", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 684.357, "end": 687.497, "text": "第一版大概一分钟就生成好了", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 687.497, "end": 689.617, "text": "经过另外两轮交互后", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 689.617, "end": 692.717, "text": "完整结果大约就准备好了", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 692.717, "end": 694.397, "text": "六分钟", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 694.397, "end": 696.817, "text": "对这样价位的模型来说", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 696.817, "end": 698.877, "text": "最终效果真的很惊艳", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 698.877, "end": 700.637, "text": "你可以看到", "language": "zh", "chunk": 1, 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"language_run": 13 }, { "start": 720.457, "end": 721.077, "text": "4", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 721.077, "end": 723.737, "text": "Eflash版本居然能执行", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 723.737, "end": 725.957, "text": "它一次就成功了", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 725.957, "end": 729.717, "text": "这就是其他模型通常至少要是两次", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 730.437, "end": 734.357, "text": "而且经常因为路径规划差卡在墙边的原因", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 734.357, "end": 737.917, "text": "但Deep Seek模型成功在环境里导航", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 737.917, "end": 740.437, "text": "并且第一次就完成了任务", "language": "zh", "chunk": 1, "local_language_run": 12, "language_run": 13 }, { "start": 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