{"text": "大家好,我是Cade。Deepseek V4 Flash 正式版API今天开始供测了。官方介绍agent的能力大幅增强。基准测试远超V4 Pro Preview。大家还记得V4 Flash是一个比较小的模型吗?正式版V4 Flash还原生支持Responses API格式,并且针对性的适配Codex。正式版的Flash它的尺寸和Preview是一致的,仅重新进行了后训练。这是官方介绍的揭露Codex的教程。Mac电脑就输入这行命令。如果Windows是这行命令。Mac电脑上运行了这行命令之后,它就会出现三个选择。让我选,我选择第一个修改Codex的配置。接着就需要填写Deepseek的API Key。接着就会自动备份写入更新。它改写了我模型的默认模型,还有将努力程度改成了Hi。我原来的Config文件里面呢,有些内容它也给我覆盖掉了。那这部分是写入后的内容。再接着自动校验,显示安装完成。如果你想要恢复的话,可以再次运行一开始的命令。选择三呢,就会恢复到之前的配置。目前按照官方的教程,配置好Flash之后,GPT的客户端呢,它就会统一显示自定义。不同的推理程度的。如果说你选择的是Low和Medium,那就自动显示到Deepseek里的Hi推理模式。如果你选择是GPT的XHi,那它也会显示到Max的推理程度。官方说,正式版的V4Flash比之前越南版的Pro还要强。那我们可以再回顾一下V4Flash的参数。它是284B,激活13B。目前呢,它还是不支持图像,音频,视频输入。我们会看到TOMEL BENCH 2.1V4Flash已经和质朴的5.2是得分一致了。而在Deepseek的基准上,它的得分居然是要超过5.2的。而在人类最后的测试方面呢,V4Flash得分不如质朴5.2。我测试了V4Flash,我发现它挺有意思的。它虽然是不能视图,但是它在运行中,它会经常使用像素统计和渲染进行诊断。也就是用数字代替眼睛去检查画面好不好。现在就看它的实测,这是它做的清明上合图。右侧呢,有菜单。我先点击一下虹桥全景。然后再看一下桥上的人群。这些呢,都是它程序化生成的。没有引入外部的3D资产。再看一下桥下的船工。然后,码头装卸这里被挡住了。9楼2层也是被挡住了。再来看一下河岸长卷。城门俯瞰。我们可以看到它很多房屋,屋顶都是没有构建好的。做得非常非常简约。对比我最近测试过的无论是K3,或者是GPT模型。那,Winz Flash在这个任务上完成的是非常一般的。但是又考虑到它的规模的话,那我觉得它其实已经完成得非常好了。那,点击一下沿河漫游,可以看到是比较卡顿的。再看它生成的桌面行星仪。它生成的各个行星,材料的质感还行。但是画面里,有非常多的错误。而且这些星球也不转了。再看它生成的苏州博物馆。对于这样一个模型,我认为它做出来的效果,尤其是用石片做的一些假衫。它做的还行,比我想象中的好。再看它生成的上海地多边形城市地标沙河。展示了不同的建筑。人民广场。博物馆。金安寺陆家嘴。世博会博物馆。对上海地里比较熟悉的朋友,可以在弹幕里回复一下,看看是不是生成的比较好。河道的话也做的太笔直了。再看一下它做的黑白线稿互动咖啡馆。那我是之前在B站上有看到用户用K3做一个线稿的,感觉不错。后来我就参考它的idea。那现在让Deepseek V4 Flash来做这样的一个互动。点击画面里的不同元素是可以有互动的。比如说刚刚这里窗户外有下雨。然后这里点击咖啡豆呢,咖啡豆有溢出。咖啡机点击之后,它会有蒸腾沸腾的效果。那点击人物,它这里会有插杯子的动作。点击咖啡杯呢,它也会做一个拉花的效果。菜单也可以交互。然后这里也有一些植物。包括人物,这里的椅子也是可以移动。桌子也是可以摇动。整体我感觉还不错。再给大家看一下我用OPS5生成的效果。。。。OPS5呢,它是我提示了它两次。它一开始呢,对画面里做的交互不是很丰富。所以后来我又提示让它去优化一下。而且它的整体速度是非常慢的。当然它花费的价格也是远远高于V4 Flash的。其实我还有两个任务呢,让V4 Flash在运行着。那它们已经运行了一个多小时了,还没有结束。其实我在日常里呢,还是会经常用到V4 Flash的。比如说现在看到的这个应用呢,我就是在半小时之内,让Glock 4.5生成的。揭露的是Dipsic V4 Flash和Pro模型。因为它本身是EM的上下文窗口。而且它的生成速度很快,价格很便宜。所以我会把它揭露在我自己用的一些App里,或者是用于翻译的插件里。都是速度、质量都是非常好的。V4 Flash的应用场景还是非常多的。但就编程而言,因为我们现在也是有大量的,更大规模的前沿模型可以使用。无论是K3,Office,或者是GPT-Sore模型,或者是Glock 4.5。那我个人认为的话,V4 Flash正式版在编码上还是弱了一些。简单的,我让它执行OK,但是更复杂的。或者说你更想OneShot来去生成一个比较好的结果的话,可能我会更倾向于用GPT模型,或者是Glock模型。以上就是今天的所有分享,希望我的视频对你有帮助,我们下次再见。", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 29.3, "text": "大家好,我是Cade。Deepseek V4 Flash 正式版API今天开始供测了。官方介绍agent的能力大幅增强。基准测试远超V4 Pro Preview。大家还记得V4 Flash是一个比较小的模型吗?正式版V4 Flash还原生支持Responses API格式,并且针对性的适配Codex。正式版的Flash它的尺寸和Preview是一致的,仅重新进行了后训练。这是官方介绍的揭露Codex的教程。", "tokens": [50365, 15248, 11, 15914, 34, 762, 1543, 11089, 595, 405, 916, 691, 19, 20232, 220, 15789, 27584, 42096, 4715, 40, 12074, 45213, 3254, 249, 11038, 233, 2289, 1543, 31929, 9249, 30312, 10115, 235, 559, 317, 1546, 8225, 13486, 3582, 3509, 227, 24228, 252, 5702, 118, 1543, 26008, 6336, 228, 11038, 233, 5233, 243, 3316, 250, 19869, 53, 19, 1705, 6001, 1759, 1543, 6868, 14852, 34756, 5916, 53, 19, 20232, 1541, 20182, 11706, 9830, 225, 7322, 1546, 41908, 39823, 14769, 30, 15789, 27584, 42096, 53, 19, 20232, 14852, 19683, 8244, 35488, 49, 13361, 892, 279, 9362, 30921, 27584, 11, 3509, 114, 20334, 25153, 230, 8713, 21686, 1546, 2215, 224, 38846, 34, 1429, 87, 1543, 15789, 27584, 42096, 1546, 25680, 1299, 45224, 1530, 118, 4510, 116, 12565, 42844, 1759, 1541, 2257, 6784, 112, 1546, 11, 1550, 227, 12624, 12560, 36700, 46606, 13547, 7422, 255, 10115, 225, 1543, 27455, 31929, 9249, 30312, 10115, 235, 1546, 11673, 255, 18594, 110, 34, 1429, 87, 1546, 21936, 29649, 1543, 51830], "temperature": 0, "avg_logprob": -0.1968006225953619, "compression_ratio": 1.2373887240356083, "no_speech_prob": 9.51205520599574e-12}, {"id": 1, "seek": 2930, "start": 29.3, "end": 59.28, "text": "Mac电脑就输入这行命令。如果Windows是这行命令。Mac电脑上运行了这行命令之后,它就会出现三个选择。让我选,我选择第一个修改Codex的配置。接着就需要填写Deepseek的API Key。接着就会自动备份写入更新。它改写了我模型的默认模型,还有将努力程度改成了Hi。我原来的Config文件里面呢,有些内容它也", "tokens": [50365, 34355, 42182, 27067, 239, 3111, 9830, 241, 14028, 5562, 8082, 25236, 49061, 1543, 13119, 45813, 1509, 1541, 5562, 8082, 25236, 49061, 1543, 34355, 42182, 27067, 239, 5708, 3316, 238, 46606, 5562, 8082, 25236, 49061, 9574, 13547, 11, 11284, 3111, 12949, 7781, 20204, 10960, 7549, 2215, 231, 6852, 102, 1543, 33650, 1654, 2215, 231, 11, 1654, 2215, 231, 6852, 102, 18049, 7549, 7792, 106, 34490, 34, 1429, 87, 1546, 38846, 34719, 1543, 14468, 20708, 3111, 35748, 13331, 104, 5676, 247, 11089, 595, 405, 916, 1546, 4715, 40, 12759, 1543, 14468, 20708, 3111, 12949, 9722, 34961, 1787, 229, 36266, 5676, 247, 14028, 19002, 12560, 1543, 11284, 34490, 5676, 247, 2289, 1654, 41908, 39823, 1546, 6173, 246, 7422, 97, 41908, 39823, 11, 35091, 45456, 5087, 103, 13486, 29649, 13127, 34490, 11336, 2289, 17155, 1543, 1654, 19683, 6912, 1546, 9838, 20646, 17174, 20485, 15759, 8833, 6240, 11, 2412, 13824, 34742, 25750, 11284, 6404, 51864], "temperature": 0, "avg_logprob": -0.10001654406778174, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5276724329993385e-11}, {"id": 2, "seek": 5928, "start": 59.28, "end": 89.28, "text": "给我覆盖掉了。那这部分是写入后的内容。再接着自动校验,显示安装完成。如果你想要恢复的话,可以再次运行一开始的命令。选择三呢,就会恢复到之前的配置。目前按照官方的教程,配置好Flash之后,GPT的客户端呢,它就会统一显示自定义。", "tokens": [50365, 49076, 2888, 228, 5419, 244, 29327, 2289, 1543, 4184, 5562, 32174, 1541, 5676, 247, 14028, 13547, 1546, 34742, 25750, 1543, 8623, 14468, 20708, 9722, 34961, 49684, 49657, 234, 11, 1431, 122, 25696, 16206, 8083, 227, 41509, 1543, 13119, 38386, 4275, 11845, 95, 1787, 235, 44575, 11, 6723, 8623, 9487, 3316, 238, 8082, 2257, 45213, 1546, 25236, 49061, 1543, 2215, 231, 6852, 102, 10960, 6240, 11, 3111, 12949, 11845, 95, 1787, 235, 4511, 32442, 1546, 38846, 34719, 1543, 39004, 26613, 32150, 31929, 9249, 1546, 21936, 29649, 11, 38846, 34719, 2131, 25680, 1299, 9574, 13547, 11, 38, 47, 51, 1546, 32316, 1486, 115, 11957, 107, 6240, 11, 11284, 3111, 12949, 10115, 253, 2257, 1431, 122, 25696, 9722, 12088, 2930, 231, 1543], "temperature": 0, "avg_logprob": -0.09424163881412223, "compression_ratio": 1.2076923076923076, "no_speech_prob": 1.5762920482775833e-11}, {"id": 3, "seek": 8928, "start": 89.28, "end": 105.28, "text": "不同的推理程度的。如果说你选择的是Low和Medium,那就自动显示到Deepseek里的Hi推理模式。如果你选择是GPT的XHi,那它也会显示到Max的推理程度。官方说,正式版的V4Flash", "tokens": [50365, 47123, 1546, 33597, 13876, 29649, 13127, 1546, 1543, 13119, 8090, 2166, 2215, 231, 6852, 102, 24620, 43, 305, 12565, 42954, 2197, 11, 46887, 9722, 34961, 1431, 122, 25696, 4511, 11089, 595, 405, 916, 15759, 1546, 17155, 33597, 13876, 41908, 27584, 1543, 45669, 2215, 231, 6852, 102, 1541, 38, 47, 51, 1546, 55, 17155, 11, 4184, 11284, 6404, 12949, 1431, 122, 25696, 4511, 36025, 1546, 33597, 13876, 29649, 13127, 1543, 31929, 9249, 8090, 11, 15789, 27584, 42096, 1546, 53, 19, 25680, 1299, 51165], "temperature": 0, "avg_logprob": -0.14253543404971852, "compression_ratio": 1.1944444444444444, "no_speech_prob": 1.8698712717091226e-11}, {"id": 4, "seek": 10528, "start": 105.28, "end": 122.28, "text": "比之前越南版的Pro还要强。那我们可以再回顾一下V4Flash的参数。它是284B,激活13B。目前呢,它还是不支持图像,音频,视频输入。我们会看到TOMEL BENCH 2.1", "tokens": [50365, 11706, 32442, 25761, 31021, 42096, 1546, 12681, 14852, 4275, 5702, 118, 1543, 4184, 15003, 6723, 8623, 8350, 10178, 122, 8861, 53, 19, 25680, 1299, 1546, 2129, 224, 33188, 1543, 11284, 1541, 11205, 19, 33, 11, 26373, 222, 25956, 7668, 33, 1543, 39004, 6240, 11, 11284, 45726, 1960, 35488, 3919, 122, 12760, 11, 18034, 39752, 11, 40656, 39752, 9830, 241, 14028, 1543, 15003, 12949, 18032, 51, 5251, 3158, 31613, 5462, 568, 13, 16, 51215], "temperature": 0, "avg_logprob": -0.17442196293881065, "compression_ratio": 0.975, "no_speech_prob": 1.8066225598856178e-11}, {"id": 5, "seek": 12228, "start": 122.28, "end": 150.28, "text": "V4Flash已经和质朴的5.2是得分一致了。而在Deepseek的基准上,它的得分居然是要超过5.2的。而在人类最后的测试方面呢,V4Flash得分不如质朴5.2。我测试了V4Flash,我发现它挺有意思的。它虽然是不能视图,但是它在运行中,它会经常使用像素统计和渲染进行诊断。", "tokens": [50365, 53, 19, 25680, 1299, 49161, 12565, 18464, 101, 1474, 112, 1546, 20, 13, 17, 1541, 5916, 6627, 2257, 6784, 112, 2289, 1543, 11070, 3581, 11089, 595, 405, 916, 1546, 26008, 6336, 228, 5708, 11, 45224, 5916, 6627, 9636, 227, 5823, 1541, 4275, 19869, 16866, 20, 13, 17, 1546, 1543, 11070, 3581, 4035, 22113, 119, 8661, 13547, 1546, 11038, 233, 5233, 243, 39604, 6240, 11, 53, 19, 25680, 1299, 5916, 6627, 1960, 8238, 18464, 101, 1474, 112, 20, 13, 17, 1543, 1654, 11038, 233, 5233, 243, 2289, 53, 19, 25680, 1299, 11, 1654, 28926, 20204, 11284, 41046, 2412, 16697, 1546, 1543, 11284, 12026, 121, 5823, 1541, 28590, 40656, 3919, 122, 11, 11189, 11284, 3581, 3316, 238, 8082, 5975, 11, 11284, 12949, 30276, 11279, 22982, 9254, 12760, 37204, 10115, 253, 7422, 94, 12565, 9592, 110, 46568, 36700, 8082, 5233, 232, 4307, 255, 1543, 51765], "temperature": 0, "avg_logprob": -0.0925372288144868, "compression_ratio": 1.2324723247232472, "no_speech_prob": 1.5218510479586556e-11}, {"id": 6, "seek": 15028, "start": 150.28, "end": 178.46, "text": "也就是用数字代替眼睛去检查画面好不好。现在就看它的实测,这是它做的清明上合图。右侧呢,有菜单。我先点击一下虹桥全景。然后再看一下桥上的人群。这些呢,都是它程序化生成的。没有引入外部的3D资产。再看一下桥下的船工。然后,码头装卸这里被挡住了。", "tokens": [50365, 6404, 5620, 9254, 33188, 22381, 19105, 9531, 123, 25281, 14221, 249, 6734, 16407, 222, 42623, 27126, 8833, 34291, 1543, 25040, 3111, 4200, 45224, 24726, 11038, 233, 11, 27455, 11284, 10907, 1546, 21784, 11100, 5708, 14245, 3919, 122, 1543, 22060, 3254, 100, 6240, 11, 2412, 33025, 47446, 1543, 1654, 10108, 12579, 6336, 119, 8861, 12026, 117, 21416, 98, 11319, 50218, 1543, 26636, 8623, 28324, 21416, 98, 5708, 29979, 7248, 97, 1543, 5562, 13824, 6240, 11, 22796, 11284, 29649, 6346, 237, 23756, 8244, 11336, 1546, 1543, 17944, 41301, 14028, 12022, 13470, 1546, 18, 35, 5266, 226, 1369, 100, 1543, 8623, 28324, 21416, 98, 4438, 1546, 10256, 117, 23323, 1543, 26636, 11, 23230, 223, 39862, 8083, 227, 5322, 116, 35102, 23238, 8501, 94, 21632, 2289, 1543, 51774], "temperature": 0, "avg_logprob": -0.10009209940752645, "compression_ratio": 1.2936802973977695, "no_speech_prob": 1.7714305716731715e-11}, {"id": 7, "seek": 17846, "start": 178.46, "end": 182.54000000000002, "text": "9楼2层也是被挡住了。", "tokens": [50365, 24, 162, 2429, 17, 9636, 224, 22021, 23238, 8501, 94, 21632, 2289, 1543, 50569], "temperature": 0, "avg_logprob": -0.23623701644270387, "compression_ratio": 1.0632911392405062, "no_speech_prob": 1.6049831602638065e-11}, {"id": 8, "seek": 17846, "start": 183.70000000000002, "end": 185.72, "text": "再来看一下河岸长卷。", "tokens": [50627, 8623, 6912, 28324, 3308, 111, 23182, 116, 32271, 5322, 115, 1543, 50728], "temperature": 0, "avg_logprob": -0.23623701644270387, "compression_ratio": 1.0632911392405062, "no_speech_prob": 1.6049831602638065e-11}, {"id": 9, "seek": 17846, "start": 186.8, "end": 188.10000000000002, "text": "城门俯瞰。", "tokens": [50782, 45277, 8259, 101, 7792, 107, 36733, 108, 1543, 50847], "temperature": 0, "avg_logprob": -0.23623701644270387, "compression_ratio": 1.0632911392405062, "no_speech_prob": 1.6049831602638065e-11}, {"id": 10, "seek": 17846, "start": 189.16, "end": 193.74, "text": "我们可以看到它很多房屋,屋顶都是没有构建好的。", "tokens": [50900, 15003, 6723, 18032, 11284, 20778, 38242, 9636, 233, 11, 9636, 233, 10178, 114, 22796, 17944, 7360, 226, 34157, 20715, 1543, 51129], "temperature": 0, "avg_logprob": -0.23623701644270387, "compression_ratio": 1.0632911392405062, "no_speech_prob": 1.6049831602638065e-11}, {"id": 11, "seek": 17846, "start": 194.36, "end": 195.92000000000002, "text": "做得非常非常简约。", "tokens": [51160, 10907, 5916, 14392, 14392, 11249, 222, 16853, 99, 1543, 51238], "temperature": 0, "avg_logprob": -0.23623701644270387, "compression_ratio": 1.0632911392405062, "no_speech_prob": 1.6049831602638065e-11}, {"id": 12, "seek": 19592, "start": 195.92, "end": 202.92, "text": "对比我最近测试过的无论是K3,或者是GPT模型。", "tokens": [50365, 8713, 11706, 1654, 46777, 11038, 233, 5233, 243, 16866, 1546, 31364, 7422, 118, 1541, 42, 18, 11, 31148, 1541, 38, 47, 51, 41908, 39823, 1543, 50715], "temperature": 0, "avg_logprob": -0.19363283466648412, "compression_ratio": 1.0714285714285714, "no_speech_prob": 1.6268120531237606e-11}, {"id": 13, "seek": 19592, "start": 203.66, "end": 207.44, "text": "那,Winz Flash在这个任务上完成的是非常一般的。", "tokens": [50752, 4184, 11, 54, 259, 89, 20232, 3581, 15368, 26443, 5087, 94, 5708, 41509, 24620, 14392, 2257, 49640, 1546, 1543, 50941], "temperature": 0, "avg_logprob": -0.19363283466648412, "compression_ratio": 1.0714285714285714, "no_speech_prob": 1.6268120531237606e-11}, {"id": 14, "seek": 19592, "start": 207.76, "end": 212.92, "text": "但是又考虑到它的规模的话,那我觉得它其实已经完成得非常好了。", "tokens": [50957, 11189, 17047, 26504, 12026, 239, 4511, 45224, 6758, 226, 41908, 44575, 11, 4184, 45681, 11284, 41646, 49161, 41509, 5916, 14392, 12621, 1543, 51215], "temperature": 0, "avg_logprob": -0.19363283466648412, "compression_ratio": 1.0714285714285714, "no_speech_prob": 1.6268120531237606e-11}, {"id": 15, "seek": 21292, "start": 212.92, "end": 218.17999999999998, "text": "那,点击一下沿河漫游,可以看到是比较卡顿的。", "tokens": [50365, 4184, 11, 12579, 6336, 119, 8861, 3308, 123, 3308, 111, 14065, 104, 9592, 116, 11, 6723, 18032, 1541, 11706, 9830, 225, 32681, 10178, 123, 1546, 1543, 50628], "temperature": 0, "avg_logprob": -0.14555883407592773, "compression_ratio": 1.2673267326732673, "no_speech_prob": 1.3689181732612354e-11}, {"id": 16, "seek": 21292, "start": 218.85999999999999, "end": 220.38, "text": "再看它生成的桌面行星仪。", "tokens": [50662, 8623, 4200, 11284, 8244, 11336, 1546, 162, 5475, 8833, 8082, 20682, 1550, 103, 1543, 50738], "temperature": 0, "avg_logprob": -0.14555883407592773, "compression_ratio": 1.2673267326732673, "no_speech_prob": 1.3689181732612354e-11}, {"id": 17, "seek": 21292, "start": 220.88, "end": 223.92, "text": "它生成的各个行星,材料的质感还行。", "tokens": [50763, 11284, 8244, 11336, 1546, 17516, 7549, 8082, 20682, 11, 4422, 238, 33404, 1546, 18464, 101, 9709, 14852, 8082, 1543, 50915], "temperature": 0, "avg_logprob": -0.14555883407592773, "compression_ratio": 1.2673267326732673, "no_speech_prob": 1.3689181732612354e-11}, {"id": 18, "seek": 21292, "start": 224.44, "end": 227.26, "text": "但是画面里,有非常多的错误。", "tokens": [50941, 11189, 27126, 8833, 15759, 11, 2412, 14392, 6392, 1546, 29900, 5233, 107, 1543, 51082], "temperature": 0, "avg_logprob": -0.14555883407592773, "compression_ratio": 1.2673267326732673, "no_speech_prob": 1.3689181732612354e-11}, {"id": 19, "seek": 21292, "start": 227.44, "end": 229.06, "text": "而且这些星球也不转了。", "tokens": [51091, 22942, 5562, 13824, 20682, 28533, 6404, 1960, 17819, 105, 2289, 1543, 51172], "temperature": 0, "avg_logprob": -0.14555883407592773, "compression_ratio": 1.2673267326732673, "no_speech_prob": 1.3689181732612354e-11}, {"id": 20, "seek": 21292, "start": 229.44, "end": 231.44, "text": "再看它生成的苏州博物馆。", "tokens": [51191, 8623, 4200, 11284, 8244, 11336, 1546, 13736, 237, 46974, 5322, 248, 23516, 11748, 228, 1543, 51291], "temperature": 0, "avg_logprob": -0.14555883407592773, "compression_ratio": 1.2673267326732673, "no_speech_prob": 1.3689181732612354e-11}, {"id": 21, "seek": 23144, "start": 231.44, "end": 239.42, "text": "对于这样一个模型,我认为它做出来的效果,尤其是用石片做的一些假衫。", "tokens": [50365, 8713, 37732, 21209, 20182, 41908, 39823, 11, 1654, 7422, 97, 13992, 11284, 10907, 44561, 1546, 43076, 9319, 11, 1530, 97, 9572, 1541, 9254, 36783, 16668, 10907, 1546, 38515, 31706, 9890, 104, 1543, 50764], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 22, "seek": 23144, "start": 240.35999999999999, "end": 244.07999999999998, "text": "它做的还行,比我想象中的好。", "tokens": [50811, 11284, 10907, 1546, 14852, 8082, 11, 11706, 25246, 45007, 5975, 1546, 2131, 1543, 50997], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 23, "seek": 23144, "start": 244.96, "end": 248.26, "text": "再看它生成的上海地多边形城市地标沙河。", "tokens": [51041, 8623, 4200, 11284, 8244, 11336, 1546, 5708, 20078, 10928, 6392, 40503, 30900, 45277, 27261, 10928, 162, 3921, 3308, 247, 3308, 111, 1543, 51206], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 24, "seek": 23144, "start": 250.54, "end": 252.28, "text": "展示了不同的建筑。", "tokens": [51320, 43491, 25696, 2289, 47123, 1546, 34157, 7973, 239, 1543, 51407], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 25, "seek": 23144, "start": 257.06, "end": 258.15999999999997, "text": "人民广场。", "tokens": [51646, 44894, 3509, 123, 50255, 1543, 51701], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 26, "seek": 23144, "start": 258.82, "end": 259.36, "text": "博物馆。", "tokens": [51734, 5322, 248, 23516, 11748, 228, 1543, 51761], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 27, "seek": 23144, "start": 260.0, "end": 261.22, "text": "金安寺陆家嘴。", "tokens": [51793, 19117, 16206, 4510, 118, 8842, 228, 5155, 10756, 112, 1543, 51854], "temperature": 0, "avg_logprob": -0.21216484478541783, "compression_ratio": 1.2081447963800904, "no_speech_prob": 1.680931956127285e-11}, {"id": 28, "seek": 26144, "start": 261.44, "end": 262.84, "text": "世博会博物馆。", "tokens": [50365, 17484, 5322, 248, 12949, 5322, 248, 23516, 11748, 228, 1543, 50435], "temperature": 0, "avg_logprob": -0.17641683058305221, "compression_ratio": 1.2290076335877862, "no_speech_prob": 1.254823155105722e-11}, {"id": 29, "seek": 26144, "start": 265.04, "end": 273.42, "text": "对上海地里比较熟悉的朋友,可以在弹幕里回复一下,看看是不是生成的比较好。", "tokens": [50545, 8713, 5708, 20078, 10928, 15759, 11706, 9830, 225, 21805, 253, 14696, 231, 1546, 19828, 11, 6723, 3581, 5702, 117, 40211, 15759, 8350, 1787, 235, 8861, 11, 22884, 23034, 8244, 11336, 1546, 11706, 9830, 225, 2131, 1543, 50964], "temperature": 0, "avg_logprob": -0.17641683058305221, "compression_ratio": 1.2290076335877862, "no_speech_prob": 1.254823155105722e-11}, {"id": 30, "seek": 26144, "start": 273.68, "end": 276.12, "text": "河道的话也做的太笔直了。", "tokens": [50977, 3308, 111, 6025, 44575, 6404, 10907, 1546, 9455, 5437, 242, 16186, 2289, 1543, 51099], "temperature": 0, "avg_logprob": -0.17641683058305221, "compression_ratio": 1.2290076335877862, "no_speech_prob": 1.254823155105722e-11}, {"id": 31, "seek": 26144, "start": 276.96, "end": 280.28, "text": "再看一下它做的黑白线稿互动咖啡馆。", "tokens": [51141, 8623, 28324, 11284, 10907, 1546, 32141, 13558, 16853, 123, 10415, 123, 1369, 240, 34961, 8975, 244, 3284, 94, 11748, 228, 1543, 51307], "temperature": 0, "avg_logprob": -0.17641683058305221, "compression_ratio": 1.2290076335877862, "no_speech_prob": 1.254823155105722e-11}, {"id": 32, "seek": 26144, "start": 280.64, "end": 288.28, "text": "那我是之前在B站上有看到用户用K3做一个线稿的,感觉不错。", "tokens": [51325, 4184, 15914, 32442, 3581, 33, 34155, 5708, 2412, 18032, 9254, 1486, 115, 9254, 42, 18, 10907, 20182, 16853, 123, 10415, 123, 1546, 11, 9709, 24447, 1960, 29900, 1543, 51707], "temperature": 0, "avg_logprob": -0.17641683058305221, "compression_ratio": 1.2290076335877862, "no_speech_prob": 1.254823155105722e-11}, {"id": 33, "seek": 26144, "start": 288.5, "end": 290.34, "text": "后来我就参考它的idea。", "tokens": [51718, 13547, 6912, 22020, 2129, 224, 26504, 45224, 482, 64, 1543, 51810], "temperature": 0, "avg_logprob": -0.17641683058305221, "compression_ratio": 1.2290076335877862, "no_speech_prob": 1.254823155105722e-11}, {"id": 34, "seek": 29034, "start": 290.34, "end": 295.26, "text": "那现在让Deepseek V4 Flash来做这样的一个互动。", "tokens": [50365, 4184, 25040, 33650, 11089, 595, 405, 916, 691, 19, 20232, 6912, 10907, 21209, 1546, 20182, 1369, 240, 34961, 1543, 50611], "temperature": 0, "avg_logprob": -0.2157778174190198, "compression_ratio": 0.9935897435897436, "no_speech_prob": 1.9529039843591e-11}, {"id": 35, "seek": 29034, "start": 296.32, "end": 301.52, "text": "点击画面里的不同元素是可以有互动的。", "tokens": [50664, 12579, 6336, 119, 27126, 8833, 15759, 1546, 47123, 14812, 37204, 1541, 6723, 2412, 1369, 240, 34961, 1546, 1543, 50924], "temperature": 0, "avg_logprob": -0.2157778174190198, "compression_ratio": 0.9935897435897436, "no_speech_prob": 1.9529039843591e-11}, {"id": 36, "seek": 29034, "start": 301.76, "end": 304.21999999999997, "text": "比如说刚刚这里窗户外有下雨。", "tokens": [50936, 36757, 8090, 49160, 49160, 35102, 30771, 245, 1486, 115, 12022, 2412, 4438, 35339, 1543, 51059], "temperature": 0, "avg_logprob": -0.2157778174190198, "compression_ratio": 0.9935897435897436, "no_speech_prob": 1.9529039843591e-11}, {"id": 37, "seek": 30422, "start": 304.22, "end": 308.72, "text": "然后这里点击咖啡豆呢,咖啡豆有溢出。", "tokens": [50365, 26636, 35102, 12579, 6336, 119, 8975, 244, 3284, 94, 45169, 6240, 11, 8975, 244, 3284, 94, 45169, 2412, 16084, 95, 7781, 1543, 50590], "temperature": 0, "avg_logprob": -0.12984900571862046, "compression_ratio": 1.3459119496855345, "no_speech_prob": 2.1774058250878525e-11}, {"id": 38, "seek": 30422, "start": 310.0, "end": 316.42, "text": "咖啡机点击之后,它会有蒸腾沸腾的效果。", "tokens": [50654, 8975, 244, 3284, 94, 37960, 12579, 6336, 119, 9574, 13547, 11, 11284, 12949, 2412, 42356, 116, 21184, 122, 3308, 116, 21184, 122, 1546, 43076, 9319, 1543, 50975], "temperature": 0, "avg_logprob": -0.12984900571862046, "compression_ratio": 1.3459119496855345, "no_speech_prob": 2.1774058250878525e-11}, {"id": 39, "seek": 30422, "start": 317.32000000000005, "end": 321.44000000000005, "text": "那点击人物,它这里会有插杯子的动作。", "tokens": [51020, 4184, 12579, 6336, 119, 4035, 23516, 11, 11284, 35102, 12949, 2412, 11673, 240, 45458, 7626, 1546, 34961, 11914, 1543, 51226], "temperature": 0, "avg_logprob": -0.12984900571862046, "compression_ratio": 1.3459119496855345, "no_speech_prob": 2.1774058250878525e-11}, {"id": 40, "seek": 30422, "start": 321.78000000000003, "end": 324.54, "text": "点击咖啡杯呢,它也会做一个拉花的效果。", "tokens": [51243, 12579, 6336, 119, 8975, 244, 3284, 94, 45458, 6240, 11, 11284, 6404, 12949, 10907, 20182, 29717, 20127, 1546, 43076, 9319, 1543, 51381], "temperature": 0, "avg_logprob": -0.12984900571862046, "compression_ratio": 1.3459119496855345, "no_speech_prob": 2.1774058250878525e-11}, {"id": 41, "seek": 32454, "start": 324.54, "end": 327.46000000000004, "text": "菜单也可以交互。", "tokens": [50365, 33025, 47446, 47935, 28455, 1369, 240, 1543, 50511], "temperature": 0, "avg_logprob": -0.1697759159275743, "compression_ratio": 1.167883211678832, "no_speech_prob": 2.0007608417249578e-11}, {"id": 42, "seek": 32454, "start": 328.46000000000004, "end": 329.86, "text": "然后这里也有一些植物。", "tokens": [50561, 26636, 35102, 6404, 32241, 13824, 38739, 235, 23516, 1543, 50631], "temperature": 0, "avg_logprob": -0.1697759159275743, "compression_ratio": 1.167883211678832, "no_speech_prob": 2.0007608417249578e-11}, {"id": 43, "seek": 32454, "start": 330.68, "end": 333.6, "text": "包括人物,这里的椅子也是可以移动。", "tokens": [50672, 41828, 4035, 23516, 11, 35102, 1546, 38739, 227, 7626, 22021, 6723, 8204, 119, 34961, 1543, 50818], "temperature": 0, "avg_logprob": -0.1697759159275743, "compression_ratio": 1.167883211678832, "no_speech_prob": 2.0007608417249578e-11}, {"id": 44, "seek": 32454, "start": 334.82, "end": 337.1, "text": "桌子也是可以摇动。", "tokens": [50879, 162, 5475, 7626, 22021, 6723, 34783, 229, 34961, 1543, 50993], "temperature": 0, "avg_logprob": -0.1697759159275743, "compression_ratio": 1.167883211678832, "no_speech_prob": 2.0007608417249578e-11}, {"id": 45, "seek": 32454, "start": 337.42, "end": 338.78000000000003, "text": "整体我感觉还不错。", "tokens": [51009, 27662, 29485, 1654, 9709, 24447, 14852, 1960, 29900, 1543, 51077], "temperature": 0, "avg_logprob": -0.1697759159275743, "compression_ratio": 1.167883211678832, "no_speech_prob": 2.0007608417249578e-11}, {"id": 46, "seek": 33878, "start": 338.78, "end": 341.67999999999995, "text": "再给大家看一下我用OPS5生成的效果。", "tokens": [50365, 8623, 23197, 6868, 28324, 1654, 9254, 46, 6273, 20, 8244, 11336, 1546, 43076, 9319, 1543, 50510], "temperature": 0, "avg_logprob": -0.33414306138691147, "compression_ratio": 0.8166666666666667, "no_speech_prob": 1.598808412051067e-11}, {"id": 47, "seek": 34168, "start": 341.68, "end": 342.68, "text": "。", "tokens": [50365, 1543, 50415], "temperature": 0, "avg_logprob": -1.316196084022522, "compression_ratio": 0.2727272727272727, "no_speech_prob": 2.842077406750576e-10}, {"id": 48, "seek": 37168, "start": 371.68, "end": 372.68, "text": "。", "tokens": [50365, 1543, 50415], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10}, {"id": 49, "seek": 37168, "start": 372.68, "end": 372.68, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10, "words": []}, {"id": 50, "seek": 37168, "start": 372.68, "end": 372.68, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10, "words": []}, {"id": 51, "seek": 37168, "start": 372.68, "end": 373.68, "text": "。", "tokens": [50415, 1543, 50465], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10}, {"id": 52, "seek": 37168, "start": 373.68, "end": 373.68, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10, "words": []}, {"id": 53, "seek": 37168, "start": 373.68, "end": 373.68, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10, "words": []}, {"id": 54, "seek": 37168, "start": 373.68, "end": 373.68, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10, "words": []}, {"id": 55, "seek": 37168, "start": 373.68, "end": 373.68, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.7986320495605469, "compression_ratio": 1.7142857142857142, "no_speech_prob": 3.8750944120202746e-10, "words": []}, {"id": 56, "seek": 40168, "start": 401.68, "end": 404.62, "text": "OPS5呢,它是我提示了它两次。", "tokens": [50365, 46, 6273, 20, 6240, 11, 11284, 42614, 20949, 25696, 2289, 11284, 36257, 9487, 1543, 50512], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 57, "seek": 40168, "start": 405.22, "end": 410.32, "text": "它一开始呢,对画面里做的交互不是很丰富。", "tokens": [50542, 11284, 2257, 45213, 6240, 11, 8713, 27126, 8833, 15759, 10907, 1546, 28455, 1369, 240, 7296, 4563, 940, 108, 47564, 1543, 50797], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 58, "seek": 40168, "start": 410.8, "end": 413.42, "text": "所以后来我又提示让它去优化一下。", "tokens": [50821, 7239, 13547, 6912, 1654, 17047, 20949, 25696, 33650, 11284, 6734, 7384, 246, 23756, 8861, 1543, 50952], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 59, "seek": 40168, "start": 413.84000000000003, "end": 415.90000000000003, "text": "而且它的整体速度是非常慢的。", "tokens": [50973, 22942, 45224, 27662, 29485, 31217, 13127, 1541, 14392, 20645, 1546, 1543, 51076], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 60, "seek": 40168, "start": 416.34000000000003, "end": 421.7, "text": "当然它花费的价格也是远远高于V4 Flash的。", "tokens": [51098, 40486, 11284, 20127, 18464, 117, 1546, 1550, 115, 30921, 22021, 3316, 250, 3316, 250, 12979, 37732, 53, 19, 20232, 1546, 1543, 51366], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 61, "seek": 40168, "start": 422.06, "end": 425.4, "text": "其实我还有两个任务呢,让V4 Flash在运行着。", "tokens": [51384, 41646, 1654, 35091, 36257, 7549, 26443, 5087, 94, 6240, 11, 33650, 53, 19, 20232, 3581, 3316, 238, 8082, 20708, 1543, 51551], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 62, "seek": 40168, "start": 426.0, "end": 428.96000000000004, "text": "那它们已经运行了一个多小时了,还没有结束。", "tokens": [51581, 4184, 11284, 9497, 49161, 3316, 238, 46606, 20182, 6392, 7322, 15729, 2289, 11, 14852, 17944, 45641, 44320, 1543, 51729], "temperature": 0, "avg_logprob": -0.09440934922960069, "compression_ratio": 1.2244897959183674, "no_speech_prob": 1.4745243220870563e-11}, {"id": 63, "seek": 42896, "start": 428.96, "end": 432.23999999999995, "text": "其实我在日常里呢,还是会经常用到V4 Flash的。", "tokens": [50365, 41646, 40528, 6890, 11279, 15759, 6240, 11, 45726, 12949, 30276, 11279, 9254, 4511, 53, 19, 20232, 1546, 1543, 50529], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 64, "seek": 42896, "start": 432.62, "end": 434.29999999999995, "text": "比如说现在看到的这个应用呢,", "tokens": [50548, 36757, 8090, 25040, 18032, 1546, 15368, 44297, 9254, 6240, 11, 50632], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 65, "seek": 42896, "start": 434.97999999999996, "end": 439.26, "text": "我就是在半小时之内,让Glock 4.5生成的。", "tokens": [50666, 1654, 5620, 3581, 30018, 7322, 15729, 9574, 34742, 11, 33650, 38, 4102, 1017, 13, 20, 8244, 11336, 1546, 1543, 50880], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 66, "seek": 42896, "start": 439.91999999999996, "end": 443.02, "text": "揭露的是Dipsic V4 Flash和Pro模型。", "tokens": [50913, 11673, 255, 18594, 110, 24620, 35, 2600, 299, 691, 19, 20232, 12565, 12681, 41908, 39823, 1543, 51068], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 67, "seek": 42896, "start": 443.02, "end": 446.32, "text": "因为它本身是EM的上下文窗口。", "tokens": [51068, 34627, 11284, 8802, 19847, 1541, 6683, 1546, 5708, 4438, 17174, 30771, 245, 18144, 1543, 51233], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 68, "seek": 42896, "start": 446.76, "end": 449.74, "text": "而且它的生成速度很快,价格很便宜。", "tokens": [51255, 22942, 45224, 8244, 11336, 31217, 13127, 4563, 10251, 11, 1550, 115, 30921, 4563, 27364, 2415, 250, 1543, 51404], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 69, "seek": 42896, "start": 450.26, "end": 454.96, "text": "所以我会把它揭露在我自己用的一些App里,", "tokens": [51430, 7239, 1654, 12949, 42061, 11673, 255, 18594, 110, 3581, 1654, 17645, 9254, 1546, 38515, 9132, 15759, 11, 51665], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 70, "seek": 42896, "start": 455.5, "end": 458.4, "text": "或者是用于翻译的插件里。", "tokens": [51692, 31148, 1541, 9254, 37732, 42716, 5233, 239, 1546, 11673, 240, 20485, 15759, 1543, 51837], "temperature": 0, "avg_logprob": -0.18043174473106438, "compression_ratio": 1.194267515923567, "no_speech_prob": 1.4212016979930908e-11}, {"id": 71, "seek": 45896, "start": 458.96, "end": 462.46, "text": "都是速度、质量都是非常好的。", "tokens": [50365, 22796, 31217, 13127, 1231, 18464, 101, 26748, 22796, 14392, 20715, 1543, 50540], "temperature": 0, "avg_logprob": -0.19078520572546756, "compression_ratio": 1.1071428571428572, "no_speech_prob": 1.3034863986793876e-11}, {"id": 72, "seek": 45896, "start": 462.73999999999995, "end": 465.08, "text": "V4 Flash的应用场景还是非常多的。", "tokens": [50554, 53, 19, 20232, 1546, 44297, 9254, 50255, 50218, 45726, 14392, 6392, 1546, 1543, 50671], "temperature": 0, "avg_logprob": -0.19078520572546756, "compression_ratio": 1.1071428571428572, "no_speech_prob": 1.3034863986793876e-11}, {"id": 73, "seek": 45896, "start": 465.29999999999995, "end": 469.64, "text": "但就编程而言,因为我们现在也是有大量的,", "tokens": [50682, 8395, 3111, 38109, 244, 29649, 11070, 12009, 11, 34627, 15003, 25040, 22021, 2412, 3582, 26748, 1546, 11, 50899], "temperature": 0, "avg_logprob": -0.19078520572546756, "compression_ratio": 1.1071428571428572, "no_speech_prob": 1.3034863986793876e-11}, {"id": 74, "seek": 45896, "start": 469.91999999999996, "end": 472.32, "text": "更大规模的前沿模型可以使用。", "tokens": [50913, 19002, 3582, 6758, 226, 41908, 1546, 8945, 3308, 123, 41908, 39823, 6723, 22982, 9254, 1543, 51033], "temperature": 0, "avg_logprob": -0.19078520572546756, "compression_ratio": 1.1071428571428572, "no_speech_prob": 1.3034863986793876e-11}, {"id": 75, "seek": 45896, "start": 472.41999999999996, "end": 476.15999999999997, "text": "无论是K3,Office,或者是GPT-Sore模型,", "tokens": [51038, 31364, 7422, 118, 1541, 42, 18, 11, 29745, 573, 11, 31148, 1541, 38, 47, 51, 12, 50, 418, 41908, 39823, 11, 51225], "temperature": 0, "avg_logprob": -0.19078520572546756, "compression_ratio": 1.1071428571428572, "no_speech_prob": 1.3034863986793876e-11}, {"id": 76, "seek": 45896, "start": 476.29999999999995, "end": 477.71999999999997, "text": "或者是Glock 4.5。", "tokens": [51232, 31148, 1541, 38, 4102, 1017, 13, 20, 1543, 51303], "temperature": 0, "avg_logprob": -0.19078520572546756, "compression_ratio": 1.1071428571428572, "no_speech_prob": 1.3034863986793876e-11}, {"id": 77, "seek": 47772, "start": 477.72, "end": 479.44000000000005, "text": "那我个人认为的话,", "tokens": [50365, 4184, 1654, 7549, 4035, 7422, 97, 13992, 44575, 11, 50451], "temperature": 0, "avg_logprob": -0.22022153893295598, "compression_ratio": 1.0177777777777777, "no_speech_prob": 1.163281363597557e-11}, {"id": 78, "seek": 47772, "start": 479.94000000000005, "end": 483.52000000000004, "text": "V4 Flash正式版在编码上还是弱了一些。", "tokens": [50476, 53, 19, 20232, 15789, 27584, 42096, 3581, 38109, 244, 23230, 223, 5708, 45726, 5702, 109, 2289, 38515, 1543, 50655], "temperature": 0, "avg_logprob": -0.22022153893295598, "compression_ratio": 1.0177777777777777, "no_speech_prob": 1.163281363597557e-11}, {"id": 79, "seek": 47772, "start": 483.8, "end": 485.0, "text": "简单的,我让它执行OK,", "tokens": [50669, 11249, 222, 47446, 1546, 11, 1654, 33650, 11284, 3416, 100, 8082, 9443, 11, 50729], "temperature": 0, "avg_logprob": -0.22022153893295598, "compression_ratio": 1.0177777777777777, "no_speech_prob": 1.163281363597557e-11}, {"id": 80, "seek": 47772, "start": 485.26000000000005, "end": 486.42, "text": "但是更复杂的。", "tokens": [50742, 11189, 19002, 1787, 235, 4422, 224, 1546, 1543, 50800], "temperature": 0, "avg_logprob": -0.22022153893295598, "compression_ratio": 1.0177777777777777, "no_speech_prob": 1.163281363597557e-11}, {"id": 81, "seek": 47772, "start": 487.06, "end": 492.14000000000004, "text": "或者说你更想OneShot来去生成一个比较好的结果的话,", "tokens": [50832, 31148, 8090, 2166, 19002, 7093, 15426, 7774, 310, 6912, 6734, 8244, 11336, 20182, 11706, 9830, 225, 20715, 45641, 9319, 44575, 11, 51086], "temperature": 0, "avg_logprob": -0.22022153893295598, "compression_ratio": 1.0177777777777777, "no_speech_prob": 1.163281363597557e-11}, {"id": 82, "seek": 47772, "start": 492.90000000000003, "end": 496.92, "text": "可能我会更倾向于用GPT模型,", "tokens": [51124, 16657, 1654, 12949, 19002, 2122, 122, 24282, 37732, 9254, 38, 47, 51, 41908, 39823, 11, 51325], "temperature": 0, "avg_logprob": -0.22022153893295598, "compression_ratio": 1.0177777777777777, "no_speech_prob": 1.163281363597557e-11}, {"id": 83, "seek": 49692, "start": 496.92, "end": 498.38, "text": "或者是Glock模型。", "tokens": [50365, 31148, 1541, 38, 4102, 41908, 39823, 1543, 50438], "temperature": 0, "avg_logprob": -0.23558921284145778, "compression_ratio": 0.9105691056910569, "no_speech_prob": 1.140748693423399e-11}, {"id": 84, "seek": 49692, "start": 498.62, "end": 500.54, "text": "以上就是今天的所有分享,", "tokens": [50450, 29497, 5620, 34947, 39300, 30855, 11, 50546], "temperature": 0, "avg_logprob": -0.23558921284145778, "compression_ratio": 0.9105691056910569, "no_speech_prob": 1.140748693423399e-11}, {"id": 85, "seek": 49692, "start": 501.2, "end": 502.64000000000004, "text": "希望我的视频对你有帮助,", "tokens": [50579, 29955, 14200, 40656, 39752, 8713, 43320, 4845, 106, 37618, 11, 50651], "temperature": 0, "avg_logprob": -0.23558921284145778, "compression_ratio": 0.9105691056910569, "no_speech_prob": 1.140748693423399e-11}, {"id": 86, "seek": 49692, "start": 502.90000000000003, "end": 503.62, "text": "我们下次再见。", "tokens": [50664, 15003, 35829, 44176, 1543, 50700], "temperature": 0, "avg_logprob": -0.23558921284145778, "compression_ratio": 0.9105691056910569, "no_speech_prob": 1.140748693423399e-11}], "language": "zh"}