{"text": "你有没有想过为什么现在的大模型哪怕宣称拥有200万Token的超长上下文但只要你把它扔进一个需要连续执行几万步操作的真实工程环境理事它很快就会像个窝头仓一样原地打转呢因为我们一直以来的直觉可能全错了我们总是把大模型的记忆当成是一块被动的硬盘不管是RAG 是向量数据库还是无线滑动的上下文窗口思路都是系统替模型存需要的时候替模型搜但是试想一下如果你在工作的时候所有的笔记草稿参考资料都是别人替你记然后再强行塞进你的视野里你能做好复杂的长期项目吗这就是今天我们要拆解的硬核突破今天这期视频我们要来看一篇来自斯坦福大学的研究者的顶尖工作题目叫自动学习记忆作为一种认知技能他们做了一件急剧破坏性的事情那就是不再给大模型外挂静态的记忆模块而是直接把记忆管理变成一种可以被训练的类似敲击键盘一样的主动动作结果我们看屏幕的Figure 1仅仅通过优化怎么做笔记这一个环节连模型本体的执行任务权重都没有碰一个32B的开源小模型Queen 2.5 32B Instruct在超级长周期的极客游戏里新能直接翻了2-4倍它不仅把72B的老大哥按在地上摩擦甚至一跃达到了碧原天花板Cloud Opera 4.5和Jamlet 3.1 Pro Thinking的同等水平这期视频的信息量极大我们会直接深入到Ultomand架构图和代码演化里帮你把这种能够落地到生产环境的记忆工程学抛开我们先来拆解它的核心玩法你看如果要让模型自己管理记忆第一步该做什么呢作者给出单非常具有工程感那就是为他提供一套标准的文件系统在Ultomand设计里大模型的动作空间被彻底截偶了什么叫截偶呢就像你在一座巨大的图书馆里本来你只能执行找书和看书的操作现在系统给了你一间独立的阅览室不仅允许你在这里新建文件夹写备忘录还允许你用read, write, search, append这些标准的系统指令来管理你的专属草稿纸你看这套内环逻辑每走一步agent都要跑两个标准的历程首先是lock阶段这就像是模型在自问自答刚才发生了什么环境给了我什么反馈哪些值得记下来模型可以自己决定是不是要把新探索到的地图坐标追加进文件里或者创建一个新文件来记录刚才遇到的怪物的属性接着是plan阶段在做出下个动作之前他要问自己我需要查什么资料才能决定下一步呢于是他去搜索自己刚刚建好的文件读取关键信息最后才向游戏世界发出一个真实的动作比如向东走或者准备长剑这就把大模型脑子里那种黑盒式的影视状态跟踪变成了显示的可控的U盘热插拔你的每一步记忆操作都是记录在案的系统文本举令这就意味着它是可以被审查是可以被持续集成的流水线优化的光看最终的分数还不够过瘾我们必须看看这些宏观分数背后具体发生了什么工程奇迹等会儿你注意看图5和图4我们先来看看这套记忆文件的scam到底是怎么一步步演化的也就是外环1到底做了什么你仔细看图5这绝对是全篇最让我兴奋的工程细节在没有优化的V0初始版本里模型维护的NetHang地图文件简直就是一场灾难它是一个无界追加的文件这就好像一个初级程序员在用卡夫克消息对裂打日子不管3721每走一步只要看到地图上的一堵墙就往文件末尾加上一行坐标44-19是一堵墙如果你在一个房间里来回排回了100步你的文件里就会出现100行重复的墙壁坐标这根本不是记忆这是一笔庞大的烂掌到了V1版本上帝视角的架构师Meta LM审查轨迹之后实在看不下去了大笔一挥引入了一个极其优雅的操作Observ Map这是一个带有坐标建制队的驱虫操作这就把原本愚蠢的追加日子变成了一个极其高效的Redis KV缓存库只要是同一个坐标新的观察结果直接覆盖旧的记录这个小小的改动带来了一个极其暴力的收益你听好啊就是模型的每部记忆文件上下文增量直接从138个字符瞬间爆降到了仅仅6个字符这是整整95%的空间压缩率再进化到VR版本架构师进一步发现模型在管理背包时老是出错于是直接在框架层面加入了自动同步背包机制以及预先加载好的战略指南模型不需要再浪费API调用去反复确认我的目标是什么我的背包理由什么系统会自动帮它维持好当前状态这种结构上的降维打击直接反映在了模型的行为指标上我们看图四因为格式规范了模型无意义的冗余写入断崖是下跌了68%到83%空搜索率降了13%到50%对于我们开发者来说这意味着什么呢在真实的生产环境里API是按Token计费的GPU显存是按上下文长度占用的准确率不仅没掉每一步的输入上下文直接缩减了30%也就是你的显存和API账单能闭眼省下30%这就是这一篇论文最暴力的算力账本并且这不仅仅是基于效率提高了连模型执行任务的行为也变聪明了你看图四最左侧这个图游戏里的无效动作比如卡在墙角抽搐或者在走廊里来回踱步直接下降了将近65%如果你觉得还不直观我们看图六里Mini Hank的这个Current R3任务要求是在迷宫一样的走廊里找到向下的楼梯基础模型和紧优化结构的模型都在这里原地打转不断重走走过的死胡同直到部署耗尽通关率是0%但是加上了专门训练的读写记忆的specialist之后他内化了先查资料再写日志的习惯他成功穿透了迷宫通过率直接反转从0到了完美的100%这是一个巨大的极其震撼的飞跃好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗好吗", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 2.8000000000000003, "text": "你有没有想过为什么现在的大模型", "tokens": [50365, 43320, 17944, 7093, 16866, 31006, 25040, 1546, 3582, 41908, 39823, 50505], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 1, "seek": 0, "start": 2.8000000000000003, "end": 6.74, "text": "哪怕宣称拥有200万Token的超长上下文", "tokens": [50505, 17028, 21164, 2415, 96, 8204, 108, 6852, 98, 2412, 7629, 23570, 51, 8406, 1546, 19869, 32271, 5708, 4438, 17174, 50702], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 2, "seek": 0, "start": 6.74, "end": 8.66, "text": "但只要你把它扔进一个", "tokens": [50702, 8395, 14003, 4275, 2166, 42061, 3416, 242, 36700, 20182, 50798], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 3, "seek": 0, "start": 8.66, "end": 11.24, "text": "需要连续执行几万步操作的", "tokens": [50798, 35748, 3316, 252, 10115, 255, 3416, 100, 8082, 6336, 254, 23570, 31429, 13167, 235, 11914, 1546, 50927], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 4, "seek": 0, "start": 11.24, "end": 12.96, "text": "真实工程环境理事", "tokens": [50927, 6303, 24726, 23323, 29649, 8051, 107, 47885, 13876, 6973, 51013], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 5, "seek": 0, "start": 12.96, "end": 16.5, "text": "它很快就会像个窝头仓一样原地打转呢", "tokens": [51013, 11284, 4563, 10251, 3111, 12949, 12760, 7549, 30771, 251, 39862, 1550, 241, 2257, 14496, 19683, 10928, 12467, 17819, 105, 6240, 51190], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 6, "seek": 0, "start": 16.5, "end": 20.56, "text": "因为我们一直以来的直觉可能全错了", "tokens": [51190, 34627, 15003, 34448, 3588, 6912, 1546, 16186, 24447, 16657, 11319, 29900, 2289, 51393], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 7, "seek": 0, "start": 20.56, "end": 22.76, "text": "我们总是把大模型的记忆", "tokens": [51393, 15003, 33440, 1541, 16075, 3582, 41908, 39823, 1546, 34756, 4263, 228, 51503], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 8, "seek": 0, "start": 22.76, "end": 24.52, "text": "当成是一块被动的硬盘", "tokens": [51503, 16233, 11336, 1541, 2257, 47734, 23238, 34961, 1546, 38114, 105, 5419, 246, 51591], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 9, "seek": 0, "start": 24.52, "end": 27.12, "text": "不管是RAG 是向量数据库", "tokens": [51591, 45376, 1541, 3750, 38, 11947, 24282, 26748, 33188, 26075, 106, 6346, 241, 51721], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 10, "seek": 0, "start": 27.12, "end": 29.6, "text": "还是无线滑动的上下文窗口", "tokens": [51721, 45726, 31364, 16853, 123, 15868, 239, 34961, 1546, 5708, 4438, 17174, 30771, 245, 18144, 51845], "temperature": 0, "avg_logprob": -0.09905930927821568, "compression_ratio": 1.2342342342342343, "no_speech_prob": 1.638306330875583e-11}, {"id": 11, "seek": 2960, "start": 29.6, "end": 32.24, "text": "思路都是系统替模型存", "tokens": [50365, 8870, 24658, 22796, 25368, 10115, 253, 9531, 123, 41908, 39823, 39781, 50497], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 12, "seek": 2960, "start": 32.24, "end": 34.24, "text": "需要的时候替模型搜", "tokens": [50497, 35748, 49873, 9531, 123, 41908, 39823, 162, 14987, 50597], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 13, "seek": 2960, "start": 34.24, "end": 36.44, "text": "但是试想一下", "tokens": [50597, 11189, 5233, 243, 7093, 8861, 50707], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 14, "seek": 2960, "start": 36.44, "end": 37.96, "text": "如果你在工作的时候", "tokens": [50707, 13119, 41410, 41315, 49873, 50783], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 15, "seek": 2960, "start": 37.96, "end": 40.74, "text": "所有的笔记草稿参考资料", "tokens": [50783, 39300, 1546, 5437, 242, 34756, 31409, 231, 10415, 123, 2129, 224, 26504, 5266, 226, 33404, 50922], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 16, "seek": 2960, "start": 40.74, "end": 42.1, "text": "都是别人替你记", "tokens": [50922, 22796, 18453, 4035, 9531, 123, 2166, 34756, 50990], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 17, "seek": 2960, "start": 42.1, "end": 44.86, "text": "然后再强行塞进你的视野里", "tokens": [50990, 26636, 8623, 5702, 118, 8082, 13331, 252, 36700, 18961, 40656, 37178, 15759, 51128], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 18, "seek": 2960, "start": 44.86, "end": 47.52, "text": "你能做好复杂的长期项目吗", "tokens": [51128, 2166, 8225, 10907, 2131, 1787, 235, 4422, 224, 1546, 32271, 16786, 10178, 117, 11386, 14769, 51261], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 19, "seek": 2960, "start": 47.52, "end": 50.88, "text": "这就是今天我们要拆解的硬核突破", "tokens": [51261, 5562, 5620, 12074, 15003, 4275, 6852, 228, 17278, 1546, 38114, 105, 8987, 116, 40859, 39560, 51429], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 20, "seek": 2960, "start": 50.88, "end": 53.28, "text": "今天这期视频我们要来看一篇", "tokens": [51429, 12074, 5562, 16786, 40656, 39752, 15003, 4275, 6912, 4200, 2257, 20878, 229, 51549], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 21, "seek": 2960, "start": 53.28, "end": 56.38, "text": "来自斯坦福大学的研究者的顶尖工作", "tokens": [51549, 6912, 9722, 30758, 14872, 99, 33952, 3582, 29618, 1546, 23230, 242, 44704, 12444, 1546, 10178, 114, 1530, 244, 41315, 51704], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 22, "seek": 2960, "start": 56.38, "end": 58.660000000000004, "text": "题目叫自动学习记忆", "tokens": [51704, 30716, 11386, 19855, 9722, 34961, 29618, 2930, 254, 34756, 4263, 228, 51818], "temperature": 0, "avg_logprob": -0.07027989625930786, "compression_ratio": 1.3531468531468531, "no_speech_prob": 9.013797520884825e-12}, {"id": 23, "seek": 5866, "start": 58.66, "end": 60.3, "text": "作为一种认知技能", "tokens": [50365, 11914, 13992, 2257, 39810, 7422, 97, 6498, 32502, 8225, 50447], "temperature": 0, "avg_logprob": -0.12157495816548665, "compression_ratio": 1.180327868852459, "no_speech_prob": 1.5501140301910077e-11}, {"id": 24, "seek": 5866, "start": 60.3, "end": 63.3, "text": "他们做了一件急剧破坏性的事情", "tokens": [50447, 47911, 10907, 2289, 2257, 20485, 36379, 5935, 100, 39560, 14872, 237, 21686, 1546, 24675, 50597], "temperature": 0, "avg_logprob": -0.12157495816548665, "compression_ratio": 1.180327868852459, "no_speech_prob": 1.5501140301910077e-11}, {"id": 25, "seek": 5866, "start": 63.3, "end": 67.5, "text": "那就是不再给大模型外挂静态的记忆模块", "tokens": [50597, 4184, 5620, 1960, 8623, 23197, 3582, 41908, 39823, 12022, 8501, 224, 5363, 247, 3757, 223, 1546, 34756, 4263, 228, 41908, 47734, 50807], "temperature": 0, "avg_logprob": -0.12157495816548665, "compression_ratio": 1.180327868852459, "no_speech_prob": 1.5501140301910077e-11}, {"id": 26, "seek": 5866, "start": 67.5, "end": 71.7, "text": "而是直接把记忆管理变成一种可以被训练的", "tokens": [50807, 11070, 1541, 43297, 16075, 34756, 4263, 228, 23131, 13876, 2129, 246, 11336, 2257, 39810, 6723, 23238, 7422, 255, 10115, 225, 1546, 51017], "temperature": 0, "avg_logprob": -0.12157495816548665, "compression_ratio": 1.180327868852459, "no_speech_prob": 1.5501140301910077e-11}, {"id": 27, "seek": 5866, "start": 71.7, "end": 74.69999999999999, "text": "类似敲击键盘一样的主动动作", "tokens": [51017, 22113, 119, 7384, 120, 7017, 110, 6336, 119, 23049, 106, 5419, 246, 2257, 14496, 1546, 13557, 34961, 34961, 11914, 51167], "temperature": 0, "avg_logprob": -0.12157495816548665, "compression_ratio": 1.180327868852459, "no_speech_prob": 1.5501140301910077e-11}, {"id": 28, "seek": 7470, "start": 74.7, "end": 77.34, "text": "结果我们看屏幕的Figure 1", "tokens": [50365, 45641, 9319, 15003, 4200, 9636, 237, 40211, 1546, 37, 328, 540, 502, 50497], "temperature": 0, "avg_logprob": -0.2122109889984131, "compression_ratio": 0.9779005524861878, "no_speech_prob": 1.6118760839956003e-11}, {"id": 29, "seek": 7470, "start": 77.34, "end": 80.94, "text": "仅仅通过优化怎么做笔记这一个环节", "tokens": [50497, 1550, 227, 1550, 227, 19550, 16866, 7384, 246, 23756, 15282, 10907, 5437, 242, 34756, 5562, 20182, 8051, 107, 45161, 50677], "temperature": 0, "avg_logprob": -0.2122109889984131, "compression_ratio": 0.9779005524861878, "no_speech_prob": 1.6118760839956003e-11}, {"id": 30, "seek": 7470, "start": 80.94, "end": 84.54, "text": "连模型本体的执行任务权重都没有碰", "tokens": [50677, 3316, 252, 41908, 39823, 8802, 29485, 1546, 3416, 100, 8082, 26443, 5087, 94, 4422, 225, 12624, 7182, 17944, 16337, 108, 50857], "temperature": 0, "avg_logprob": -0.2122109889984131, "compression_ratio": 0.9779005524861878, "no_speech_prob": 1.6118760839956003e-11}, {"id": 31, "seek": 7470, "start": 84.54, "end": 86.62, "text": "一个32B的开源小模型", "tokens": [50857, 20182, 11440, 33, 1546, 18937, 47402, 7322, 41908, 39823, 50961], "temperature": 0, "avg_logprob": -0.2122109889984131, "compression_ratio": 0.9779005524861878, "no_speech_prob": 1.6118760839956003e-11}, {"id": 32, "seek": 7470, "start": 86.62, "end": 89.42, "text": "Queen 2.5 32B Instruct", "tokens": [50961, 47924, 568, 13, 20, 8858, 33, 2730, 1757, 51101], "temperature": 0, "avg_logprob": -0.2122109889984131, "compression_ratio": 0.9779005524861878, "no_speech_prob": 1.6118760839956003e-11}, {"id": 33, "seek": 8942, "start": 89.42, "end": 92.38, "text": "在超级长周期的极客游戏里", "tokens": [50365, 3581, 19869, 16853, 100, 32271, 37390, 16786, 1546, 7360, 223, 32316, 9592, 116, 1486, 237, 15759, 50513], "temperature": 0, "avg_logprob": -0.21030351017298324, "compression_ratio": 0.9563106796116505, "no_speech_prob": 1.710521828346412e-11}, {"id": 34, "seek": 8942, "start": 92.38, "end": 94.36, "text": "新能直接翻了2-4倍", "tokens": [50513, 12560, 8225, 43297, 42716, 2289, 17, 12, 19, 35477, 50612], "temperature": 0, "avg_logprob": -0.21030351017298324, "compression_ratio": 0.9563106796116505, "no_speech_prob": 1.710521828346412e-11}, {"id": 35, "seek": 8942, "start": 94.36, "end": 97.96000000000001, "text": "它不仅把72B的老大哥按在地上摩擦", "tokens": [50612, 11284, 1960, 1550, 227, 16075, 28890, 33, 1546, 10439, 44093, 26613, 3581, 10928, 5708, 34783, 102, 13167, 99, 50792], "temperature": 0, "avg_logprob": -0.21030351017298324, "compression_ratio": 0.9563106796116505, "no_speech_prob": 1.710521828346412e-11}, {"id": 36, "seek": 8942, "start": 97.96000000000001, "end": 99.84, "text": "甚至一跃达到了", "tokens": [50792, 17556, 20844, 2257, 6563, 225, 9830, 122, 21381, 50886], "temperature": 0, "avg_logprob": -0.21030351017298324, "compression_ratio": 0.9563106796116505, "no_speech_prob": 1.710521828346412e-11}, {"id": 37, "seek": 8942, "start": 99.84, "end": 102.34, "text": "碧原天花板Cloud Opera 4.5和", "tokens": [50886, 16337, 100, 19683, 6135, 20127, 43664, 32787, 39089, 1017, 13, 20, 12565, 51011], "temperature": 0, "avg_logprob": -0.21030351017298324, "compression_ratio": 0.9563106796116505, "no_speech_prob": 1.710521828346412e-11}, {"id": 38, "seek": 8942, "start": 102.34, "end": 105.4, "text": "Jamlet 3.1 Pro Thinking的同等水平", "tokens": [51011, 37834, 2631, 805, 13, 16, 1705, 24460, 1546, 13089, 10187, 15590, 16716, 51164], "temperature": 0, "avg_logprob": -0.21030351017298324, "compression_ratio": 0.9563106796116505, "no_speech_prob": 1.710521828346412e-11}, {"id": 39, "seek": 10540, "start": 105.4, "end": 107.80000000000001, "text": "这期视频的信息量极大", "tokens": [50365, 5562, 16786, 40656, 39752, 1546, 17665, 26460, 26748, 7360, 223, 3582, 50485], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 40, "seek": 10540, "start": 107.80000000000001, "end": 112.34, "text": "我们会直接深入到Ultomand架构图和代码演化里", "tokens": [50485, 15003, 12949, 43297, 24043, 14028, 4511, 52, 2282, 298, 474, 7360, 114, 7360, 226, 3919, 122, 12565, 19105, 23230, 223, 31382, 23756, 15759, 50712], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 41, "seek": 10540, "start": 112.34, "end": 117.52000000000001, "text": "帮你把这种能够落地到生产环境的记忆工程学抛开", "tokens": [50712, 4845, 106, 2166, 16075, 5562, 39810, 8225, 1787, 253, 30848, 10928, 4511, 8244, 1369, 100, 8051, 107, 47885, 1546, 34756, 4263, 228, 23323, 29649, 29618, 7235, 249, 18937, 50971], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 42, "seek": 10540, "start": 117.52000000000001, "end": 119.84, "text": "我们先来拆解它的核心玩法", "tokens": [50971, 15003, 10108, 6912, 6852, 228, 17278, 45224, 8987, 116, 7945, 19912, 11148, 51087], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 43, "seek": 10540, "start": 119.84, "end": 122.86000000000001, "text": "你看如果要让模型自己管理记忆", "tokens": [51087, 16529, 13119, 4275, 33650, 41908, 39823, 17645, 23131, 13876, 34756, 4263, 228, 51238], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 44, "seek": 10540, "start": 122.86000000000001, "end": 124.24000000000001, "text": "第一步该做什么呢", "tokens": [51238, 18049, 31429, 44646, 10907, 10440, 6240, 51307], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 45, "seek": 10540, "start": 124.24000000000001, "end": 127.26, "text": "作者给出单非常具有工程感", "tokens": [51307, 11914, 12444, 23197, 7781, 47446, 14392, 39806, 2412, 23323, 29649, 9709, 51458], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 46, "seek": 10540, "start": 127.26, "end": 131.3, "text": "那就是为他提供一套标准的文件系统", "tokens": [51458, 4184, 5620, 13992, 5000, 20949, 3254, 249, 2257, 1881, 245, 162, 3921, 6336, 228, 1546, 17174, 20485, 25368, 10115, 253, 51660], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 47, "seek": 10540, "start": 131.3, "end": 132.70000000000002, "text": "在Ultomand设计里", "tokens": [51660, 3581, 52, 2282, 298, 474, 7422, 122, 7422, 94, 15759, 51730], "temperature": 0, "avg_logprob": -0.10253659416647519, "compression_ratio": 1.2033333333333334, "no_speech_prob": 1.5568745945215845e-11}, {"id": 48, "seek": 13270, "start": 132.7, "end": 135.54, "text": "大模型的动作空间被彻底截偶了", "tokens": [50365, 3582, 41908, 39823, 1546, 34961, 11914, 23322, 31685, 23238, 7391, 119, 22816, 1486, 103, 7437, 114, 2289, 50507], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 49, "seek": 13270, "start": 135.54, "end": 136.88, "text": "什么叫截偶呢", "tokens": [50507, 10440, 19855, 1486, 103, 7437, 114, 6240, 50574], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 50, "seek": 13270, "start": 136.88, "end": 139.83999999999997, "text": "就像你在一座巨大的图书馆里", "tokens": [50574, 3111, 12760, 41410, 2257, 6346, 100, 5238, 101, 39156, 3919, 122, 2930, 99, 11748, 228, 15759, 50722], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 51, "seek": 13270, "start": 139.83999999999997, "end": 143.22, "text": "本来你只能执行找书和看书的操作", "tokens": [50722, 8802, 6912, 2166, 14003, 8225, 3416, 100, 8082, 25085, 2930, 99, 12565, 4200, 2930, 99, 1546, 13167, 235, 11914, 50891], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 52, "seek": 13270, "start": 143.22, "end": 146.1, "text": "现在系统给了你一间独立的阅览室", "tokens": [50891, 25040, 25368, 10115, 253, 23197, 2289, 2166, 2257, 31685, 18637, 105, 24409, 1546, 10034, 227, 6758, 230, 2415, 97, 51035], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 53, "seek": 13270, "start": 146.1, "end": 149.82, "text": "不仅允许你在这里新建文件夹写备忘录", "tokens": [51035, 1960, 1550, 227, 2347, 223, 7422, 116, 41410, 35102, 12560, 34157, 17174, 20485, 1787, 117, 5676, 247, 1787, 229, 26677, 7391, 243, 51221], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 54, "seek": 13270, "start": 149.82, "end": 153.28, "text": "还允许你用read, write, search, append", "tokens": [51221, 14852, 2347, 223, 7422, 116, 2166, 9254, 2538, 11, 2464, 11, 3164, 11, 34116, 51394], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 55, "seek": 13270, "start": 153.28, "end": 157.12, "text": "这些标准的系统指令来管理你的专属草稿纸", "tokens": [51394, 5562, 13824, 162, 3921, 6336, 228, 1546, 25368, 10115, 253, 25922, 49061, 6912, 23131, 13876, 18961, 940, 241, 9636, 252, 31409, 231, 10415, 123, 16853, 116, 51586], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 56, "seek": 13270, "start": 157.12, "end": 159.12, "text": "你看这套内环逻辑", "tokens": [51586, 16529, 5562, 1881, 245, 34742, 8051, 107, 2215, 119, 9830, 239, 51686], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 57, "seek": 13270, "start": 159.12, "end": 160.23999999999998, "text": "每走一步", "tokens": [51686, 23664, 9575, 2257, 31429, 51742], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 58, "seek": 13270, "start": 160.23999999999998, "end": 162.64, "text": "agent都要跑两个标准的历程", "tokens": [51742, 559, 317, 7182, 4275, 32585, 36257, 7549, 162, 3921, 6336, 228, 1546, 5014, 228, 29649, 51862], "temperature": 0, "avg_logprob": -0.10185240716049351, "compression_ratio": 1.2386706948640482, "no_speech_prob": 1.3203264002947801e-11}, {"id": 59, "seek": 16264, "start": 162.64, "end": 164.01999999999998, "text": "首先是lock阶段", "tokens": [50365, 36490, 1541, 4102, 10034, 114, 28427, 50434], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 60, "seek": 16264, "start": 164.01999999999998, "end": 166.2, "text": "这就像是模型在自问自答", "tokens": [50434, 5562, 3111, 12760, 1541, 41908, 39823, 3581, 9722, 22064, 9722, 28223, 50543], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 61, "seek": 16264, "start": 166.2, "end": 167.48, "text": "刚才发生了什么", "tokens": [50543, 49160, 18888, 28926, 8244, 2289, 10440, 50607], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 62, "seek": 16264, "start": 167.48, "end": 169.2, "text": "环境给了我什么反馈", "tokens": [50607, 8051, 107, 47885, 23197, 2289, 1654, 10440, 22138, 11748, 230, 50693], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 63, "seek": 16264, "start": 169.2, "end": 170.82, "text": "哪些值得记下来", "tokens": [50693, 17028, 13824, 40242, 5916, 34756, 4438, 6912, 50774], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 64, "seek": 16264, "start": 170.82, "end": 172.51999999999998, "text": "模型可以自己决定", "tokens": [50774, 41908, 39823, 6723, 17645, 5676, 111, 12088, 50859], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 65, "seek": 16264, "start": 172.51999999999998, "end": 175.05999999999997, "text": "是不是要把新探索到的地图坐标", "tokens": [50859, 23034, 4275, 16075, 12560, 6900, 95, 7732, 95, 4511, 1546, 10928, 3919, 122, 31123, 162, 3921, 50986], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 66, "seek": 16264, "start": 175.05999999999997, "end": 176.7, "text": "追加进文件里", "tokens": [50986, 39947, 9990, 36700, 17174, 20485, 15759, 51068], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 67, "seek": 16264, "start": 176.7, "end": 179.27999999999997, "text": "或者创建一个新文件来记录", "tokens": [51068, 31148, 2437, 249, 34157, 20182, 12560, 17174, 20485, 6912, 34756, 7391, 243, 51197], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 68, "seek": 16264, "start": 179.27999999999997, "end": 181.51999999999998, "text": "刚才遇到的怪物的属性", "tokens": [51197, 49160, 18888, 3330, 229, 4511, 1546, 26798, 23516, 1546, 9636, 252, 21686, 51309], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 69, "seek": 16264, "start": 181.51999999999998, "end": 183.07999999999998, "text": "接着是plan阶段", "tokens": [51309, 14468, 20708, 1541, 16554, 10034, 114, 28427, 51387], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 70, "seek": 16264, "start": 183.07999999999998, "end": 184.82, "text": "在做出下个动作之前", "tokens": [51387, 3581, 10907, 7781, 4438, 7549, 34961, 11914, 32442, 51474], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 71, "seek": 16264, "start": 184.82, "end": 185.94, "text": "他要问自己", "tokens": [51474, 5000, 4275, 22064, 17645, 51530], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 72, "seek": 16264, "start": 185.94, "end": 188.89999999999998, "text": "我需要查什么资料才能决定下一步呢", "tokens": [51530, 1654, 35748, 42623, 10440, 5266, 226, 33404, 18888, 8225, 5676, 111, 12088, 45271, 31429, 6240, 51678], "temperature": 0, "avg_logprob": -0.08016970810616851, "compression_ratio": 1.2969283276450512, "no_speech_prob": 1.5436605119156788e-11}, {"id": 73, "seek": 18890, "start": 188.9, "end": 192.18, "text": "于是他去搜索自己刚刚建好的文件", "tokens": [50365, 37732, 1541, 5000, 6734, 162, 14987, 7732, 95, 17645, 49160, 49160, 34157, 20715, 17174, 20485, 50529], "temperature": 0, "avg_logprob": -0.13851239851542882, "compression_ratio": 1.146788990825688, "no_speech_prob": 1.990292999853871e-11}, {"id": 74, "seek": 18890, "start": 192.18, "end": 193.68, "text": "读取关键信息", "tokens": [50529, 5233, 119, 29436, 28053, 23049, 106, 17665, 26460, 50604], "temperature": 0, "avg_logprob": -0.13851239851542882, "compression_ratio": 1.146788990825688, "no_speech_prob": 1.990292999853871e-11}, {"id": 75, "seek": 18890, "start": 193.68, "end": 196.82, "text": "最后才向游戏世界发出一个真实的动作", "tokens": [50604, 8661, 13547, 18888, 24282, 9592, 116, 1486, 237, 24486, 28926, 7781, 20182, 6303, 24726, 1546, 34961, 11914, 50761], "temperature": 0, "avg_logprob": -0.13851239851542882, "compression_ratio": 1.146788990825688, "no_speech_prob": 1.990292999853871e-11}, {"id": 76, "seek": 18890, "start": 196.82, "end": 199.68, "text": "比如向东走或者准备长剑", "tokens": [50761, 36757, 24282, 38409, 9575, 31148, 6336, 228, 1787, 229, 32271, 5935, 239, 50904], "temperature": 0, "avg_logprob": -0.13851239851542882, "compression_ratio": 1.146788990825688, "no_speech_prob": 1.990292999853871e-11}, {"id": 77, "seek": 18890, "start": 199.68, "end": 203.94, "text": "这就把大模型脑子里那种黑盒式的影视状态跟踪", "tokens": [50904, 5562, 3111, 16075, 3582, 41908, 39823, 27067, 239, 7626, 15759, 4184, 39810, 32141, 5419, 240, 27584, 1546, 16820, 40656, 35276, 114, 3757, 223, 9678, 41166, 103, 51117], "temperature": 0, "avg_logprob": -0.13851239851542882, "compression_ratio": 1.146788990825688, "no_speech_prob": 1.990292999853871e-11}, {"id": 78, "seek": 18890, "start": 203.94, "end": 207.54000000000002, "text": "变成了显示的可控的U盘热插拔", "tokens": [51117, 2129, 246, 11336, 2289, 1431, 122, 25696, 1546, 4429, 48707, 1546, 52, 5419, 246, 23661, 255, 11673, 240, 6852, 242, 51297], "temperature": 0, "avg_logprob": -0.13851239851542882, "compression_ratio": 1.146788990825688, "no_speech_prob": 1.990292999853871e-11}, {"id": 79, "seek": 20754, "start": 207.54, "end": 212.22, "text": "你的每一步记忆操作都是记录在案的系统文本举令", "tokens": [50365, 18961, 23664, 2257, 31429, 34756, 4263, 228, 13167, 235, 11914, 22796, 34756, 7391, 243, 3581, 28899, 1546, 25368, 10115, 253, 17174, 8802, 940, 122, 49061, 50599], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 80, "seek": 20754, "start": 212.22, "end": 215.1, "text": "这就意味着它是可以被审查", "tokens": [50599, 5562, 3111, 9042, 17268, 20708, 11284, 1541, 6723, 23238, 2415, 94, 42623, 50743], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 81, "seek": 20754, "start": 215.1, "end": 218.39999999999998, "text": "是可以被持续集成的流水线优化的", "tokens": [50743, 1541, 6723, 23238, 17694, 10115, 255, 26020, 11336, 1546, 27854, 15590, 16853, 123, 7384, 246, 23756, 1546, 50908], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 82, "seek": 20754, "start": 218.39999999999998, "end": 220.45999999999998, "text": "光看最终的分数还不够过瘾", "tokens": [50908, 20690, 4200, 8661, 10115, 230, 1546, 6627, 33188, 14852, 1960, 1787, 253, 16866, 163, 246, 122, 51011], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 83, "seek": 20754, "start": 220.45999999999998, "end": 223.07999999999998, "text": "我们必须看看这些宏观分数背后", "tokens": [51011, 15003, 28531, 10178, 119, 22884, 5562, 13824, 2415, 237, 42350, 6627, 33188, 46329, 13547, 51142], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 84, "seek": 20754, "start": 223.07999999999998, "end": 225.51999999999998, "text": "具体发生了什么工程奇迹", "tokens": [51142, 39806, 29485, 28926, 8244, 2289, 10440, 23323, 29649, 26907, 3316, 117, 51264], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 85, "seek": 20754, "start": 225.51999999999998, "end": 227.64, "text": "等会儿你注意看图5和图4", "tokens": [51264, 10187, 12949, 22933, 2166, 40794, 4200, 3919, 122, 20, 12565, 3919, 122, 19, 51370], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 86, "seek": 20754, "start": 227.64, "end": 230.76, "text": "我们先来看看这套记忆文件的scam", "tokens": [51370, 15003, 10108, 6912, 22884, 5562, 1881, 245, 34756, 4263, 228, 17174, 20485, 1546, 4417, 335, 51526], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 87, "seek": 20754, "start": 230.76, "end": 233.07999999999998, "text": "到底是怎么一步步演化的", "tokens": [51526, 33883, 1541, 15282, 2257, 31429, 31429, 31382, 23756, 1546, 51642], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 88, "seek": 20754, "start": 233.07999999999998, "end": 235.51999999999998, "text": "也就是外环1到底做了什么", "tokens": [51642, 6404, 5620, 12022, 8051, 107, 16, 33883, 10907, 2289, 10440, 51764], "temperature": 0, "avg_logprob": -0.09509602988638528, "compression_ratio": 1.3245033112582782, "no_speech_prob": 1.5568811864707932e-11}, {"id": 89, "seek": 23552, "start": 235.52, "end": 238.26000000000002, "text": "你仔细看图5这绝对是全篇", "tokens": [50365, 2166, 49385, 10115, 228, 4200, 3919, 122, 20, 5562, 10115, 251, 8713, 1541, 11319, 20878, 229, 50502], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 90, "seek": 23552, "start": 238.26000000000002, "end": 240.26000000000002, "text": "最让我兴奋的工程细节", "tokens": [50502, 8661, 33650, 1654, 2347, 112, 1881, 233, 1546, 23323, 29649, 10115, 228, 45161, 50602], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 91, "seek": 23552, "start": 240.26000000000002, "end": 243.04000000000002, "text": "在没有优化的V0初始版本里", "tokens": [50602, 3581, 17944, 7384, 246, 23756, 1546, 53, 15, 28727, 15476, 42096, 8802, 15759, 50741], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 92, "seek": 23552, "start": 243.04000000000002, "end": 245.64000000000001, "text": "模型维护的NetHang地图文件", "tokens": [50741, 41908, 39823, 10115, 112, 7235, 97, 1546, 31890, 39, 656, 10928, 3919, 122, 17174, 20485, 50871], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 93, "seek": 23552, "start": 245.64000000000001, "end": 247.38, "text": "简直就是一场灾难", "tokens": [50871, 11249, 222, 16186, 5620, 2257, 50255, 13290, 122, 46531, 50958], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 94, "seek": 23552, "start": 247.38, "end": 249.58, "text": "它是一个无界追加的文件", "tokens": [50958, 11284, 1541, 20182, 31364, 21185, 39947, 9990, 1546, 17174, 20485, 51068], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 95, "seek": 23552, "start": 249.58, "end": 251.70000000000002, "text": "这就好像一个初级程序员", "tokens": [51068, 5562, 3111, 33242, 20182, 28727, 16853, 100, 29649, 6346, 237, 3606, 246, 51174], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 96, "seek": 23552, "start": 251.70000000000002, "end": 254.34, "text": "在用卡夫克消息对裂打日子", "tokens": [51174, 3581, 9254, 32681, 26364, 24881, 28837, 26460, 8713, 8083, 224, 12467, 6890, 7626, 51306], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 97, "seek": 23552, "start": 254.34, "end": 256.7, "text": "不管3721每走一步", "tokens": [51306, 45376, 12851, 4436, 23664, 9575, 2257, 31429, 51424], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 98, "seek": 23552, "start": 256.7, "end": 258.78000000000003, "text": "只要看到地图上的一堵墙", "tokens": [51424, 14003, 4275, 18032, 10928, 3919, 122, 5708, 1546, 2257, 10726, 113, 24228, 247, 51528], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 99, "seek": 23552, "start": 258.78000000000003, "end": 261.12, "text": "就往文件末尾加上一行", "tokens": [51528, 3111, 29510, 17174, 20485, 1474, 104, 1530, 122, 9990, 5708, 2257, 8082, 51645], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 100, "seek": 23552, "start": 261.12, "end": 263.32, "text": "坐标44-19是一堵墙", "tokens": [51645, 31123, 162, 3921, 13912, 12, 3405, 1541, 2257, 10726, 113, 24228, 247, 51755], "temperature": 0, "avg_logprob": -0.11721315439681561, "compression_ratio": 1.2233333333333334, "no_speech_prob": 1.3632260251195127e-11}, {"id": 101, "seek": 26332, "start": 263.32, "end": 267.0, "text": "如果你在一个房间里来回排回了100步", "tokens": [50365, 13119, 41410, 20182, 38242, 31685, 15759, 6912, 8350, 44647, 8350, 2289, 6879, 31429, 50549], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 102, "seek": 26332, "start": 267.0, "end": 271.09999999999997, "text": "你的文件里就会出现100行重复的墙壁坐标", "tokens": [50549, 18961, 17174, 20485, 15759, 3111, 12949, 7781, 20204, 6879, 8082, 12624, 1787, 235, 1546, 24228, 247, 12829, 223, 31123, 162, 3921, 50754], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 103, "seek": 26332, "start": 271.09999999999997, "end": 272.78, "text": "这根本不是记忆", "tokens": [50754, 5562, 31337, 8802, 7296, 34756, 4263, 228, 50838], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 104, "seek": 26332, "start": 272.78, "end": 274.48, "text": "这是一笔庞大的烂掌", "tokens": [50838, 27455, 2257, 5437, 242, 6346, 252, 39156, 23661, 224, 6900, 234, 50923], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 105, "seek": 26332, "start": 274.48, "end": 275.88, "text": "到了V1版本", "tokens": [50923, 21381, 53, 16, 42096, 8802, 50993], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 106, "seek": 26332, "start": 275.88, "end": 278.18, "text": "上帝视角的架构师Meta LM", "tokens": [50993, 5708, 4845, 251, 40656, 29389, 1546, 7360, 114, 7360, 226, 29186, 44, 7664, 46529, 51108], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 107, "seek": 26332, "start": 278.18, "end": 279.65999999999997, "text": "审查轨迹之后", "tokens": [51108, 2415, 94, 42623, 17819, 101, 3316, 117, 9574, 13547, 51182], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 108, "seek": 26332, "start": 279.65999999999997, "end": 281.14, "text": "实在看不下去了", "tokens": [51182, 24726, 3581, 4200, 1960, 34473, 2289, 51256], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 109, "seek": 26332, "start": 281.14, "end": 281.88, "text": "大笔一挥", "tokens": [51256, 3582, 5437, 242, 2257, 8501, 98, 51293], "temperature": 0, "avg_logprob": -0.1160223228590829, "compression_ratio": 1.0933333333333333, "no_speech_prob": 1.3900739066763368e-11}, {"id": 110, "seek": 28188, "start": 281.88, "end": 283.9, "text": "引入了一个极其优雅的操作", "tokens": [50365, 41301, 14028, 2289, 20182, 7360, 223, 9572, 7384, 246, 6306, 227, 1546, 13167, 235, 11914, 50466], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 111, "seek": 28188, "start": 283.9, "end": 284.94, "text": "Observ Map", "tokens": [50466, 46, 929, 1978, 22053, 50518], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 112, "seek": 28188, "start": 284.94, "end": 288.36, "text": "这是一个带有坐标建制队的驱虫操作", "tokens": [50518, 27455, 20182, 4845, 99, 2412, 31123, 162, 3921, 34157, 25491, 10034, 253, 1546, 24023, 109, 12026, 104, 13167, 235, 11914, 50689], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 113, "seek": 28188, "start": 288.36, "end": 290.82, "text": "这就把原本愚蠢的追加日子", "tokens": [50689, 5562, 3111, 16075, 19683, 8802, 4820, 248, 164, 254, 95, 1546, 39947, 9990, 6890, 7626, 50812], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 114, "seek": 28188, "start": 290.82, "end": 294.18, "text": "变成了一个极其高效的Redis KV缓存库", "tokens": [50812, 2129, 246, 11336, 2289, 20182, 7360, 223, 9572, 12979, 43076, 1546, 20544, 271, 591, 53, 38109, 241, 39781, 6346, 241, 50980], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 115, "seek": 28188, "start": 294.18, "end": 295.86, "text": "只要是同一个坐标", "tokens": [50980, 14003, 4275, 1541, 13089, 20182, 31123, 162, 3921, 51064], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 116, "seek": 28188, "start": 295.86, "end": 298.56, "text": "新的观察结果直接覆盖旧的记录", "tokens": [51064, 12560, 1546, 42350, 47550, 45641, 9319, 43297, 2888, 228, 5419, 244, 4479, 100, 1546, 34756, 7391, 243, 51199], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 117, "seek": 28188, "start": 298.56, "end": 300.4, "text": "这个小小的改动", "tokens": [51199, 15368, 7322, 7322, 1546, 34490, 34961, 51291], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 118, "seek": 28188, "start": 300.4, "end": 302.4, "text": "带来了一个极其暴力的收益", "tokens": [51291, 4845, 99, 34912, 20182, 7360, 223, 9572, 23826, 112, 13486, 1546, 18681, 5419, 232, 51391], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 119, "seek": 28188, "start": 302.4, "end": 303.48, "text": "你听好啊", "tokens": [51391, 2166, 31022, 2131, 4905, 51445], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 120, "seek": 28188, "start": 303.48, "end": 305.96, "text": "就是模型的每部记忆文件", "tokens": [51445, 5620, 41908, 39823, 1546, 23664, 13470, 34756, 4263, 228, 17174, 20485, 51569], "temperature": 0, "avg_logprob": -0.1444437654712532, "compression_ratio": 1.2637362637362637, "no_speech_prob": 1.3516311334060838e-11}, {"id": 121, "seek": 30596, "start": 305.96, "end": 307.12, "text": "上下文增量", "tokens": [50365, 5708, 4438, 17174, 24228, 252, 26748, 50423], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 122, "seek": 30596, "start": 307.12, "end": 309.53999999999996, "text": "直接从138个字符", "tokens": [50423, 43297, 35630, 7668, 23, 7549, 22381, 5437, 99, 50544], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 123, "seek": 30596, "start": 309.53999999999996, "end": 312.52, "text": "瞬间爆降到了仅仅6个字符", "tokens": [50544, 36733, 105, 31685, 45827, 47421, 21381, 1550, 227, 1550, 227, 21, 7549, 22381, 5437, 99, 50693], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 124, "seek": 30596, "start": 312.52, "end": 315.79999999999995, "text": "这是整整95%的空间压缩率", "tokens": [50693, 27455, 27662, 27662, 15718, 4, 1546, 23322, 31685, 5014, 233, 38109, 102, 44866, 50857], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 125, "seek": 30596, "start": 315.79999999999995, "end": 317.71999999999997, "text": "再进化到VR版本", "tokens": [50857, 8623, 36700, 23756, 4511, 44358, 42096, 8802, 50953], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 126, "seek": 30596, "start": 317.71999999999997, "end": 319.34, "text": "架构师进一步发现", "tokens": [50953, 7360, 114, 7360, 226, 29186, 36700, 2257, 31429, 28926, 20204, 51034], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 127, "seek": 30596, "start": 319.34, "end": 321.82, "text": "模型在管理背包时老是出错", "tokens": [51034, 41908, 39823, 3581, 23131, 13876, 46329, 23305, 15729, 10439, 1541, 7781, 29900, 51158], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 128, "seek": 30596, "start": 321.82, "end": 324.03999999999996, "text": "于是直接在框架层面", "tokens": [51158, 37732, 1541, 43297, 3581, 21416, 228, 7360, 114, 9636, 224, 8833, 51269], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 129, "seek": 30596, "start": 324.03999999999996, "end": 326.35999999999996, "text": "加入了自动同步背包机制", "tokens": [51269, 43878, 2289, 9722, 34961, 13089, 31429, 46329, 23305, 37960, 25491, 51385], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 130, "seek": 30596, "start": 326.35999999999996, "end": 329.4, "text": "以及预先加载好的战略指南", "tokens": [51385, 40282, 12501, 226, 10108, 9990, 17819, 121, 20715, 1486, 246, 6904, 98, 25922, 31021, 51537], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 131, "seek": 30596, "start": 329.4, "end": 331.96, "text": "模型不需要再浪费API调用", "tokens": [51537, 41908, 39823, 1960, 35748, 8623, 11038, 103, 18464, 117, 4715, 40, 8897, 225, 9254, 51665], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 132, "seek": 30596, "start": 331.96, "end": 333.12, "text": "去反复确认", "tokens": [51665, 6734, 22138, 1787, 235, 38114, 106, 7422, 97, 51723], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 133, "seek": 30596, "start": 333.12, "end": 334.29999999999995, "text": "我的目标是什么", "tokens": [51723, 14200, 11386, 162, 3921, 1541, 10440, 51782], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 134, "seek": 30596, "start": 334.29999999999995, "end": 335.78, "text": "我的背包理由什么", "tokens": [51782, 14200, 46329, 23305, 13876, 23786, 10440, 51856], "temperature": 0, "avg_logprob": -0.07404486151302563, "compression_ratio": 1.24, "no_speech_prob": 1.3377364320443785e-11}, {"id": 135, "seek": 33578, "start": 335.78, "end": 339.08, "text": "系统会自动帮它维持好当前状态", "tokens": [50365, 25368, 10115, 253, 12949, 9722, 34961, 4845, 106, 11284, 10115, 112, 17694, 2131, 16233, 8945, 35276, 114, 3757, 223, 50530], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 136, "seek": 33578, "start": 339.08, "end": 341.23999999999995, "text": "这种结构上的降维打击", "tokens": [50530, 5562, 39810, 45641, 7360, 226, 5708, 1546, 47421, 10115, 112, 12467, 6336, 119, 50638], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 137, "seek": 33578, "start": 341.23999999999995, "end": 344.15999999999997, "text": "直接反映在了模型的行为指标上", "tokens": [50638, 43297, 22138, 1431, 254, 3581, 2289, 41908, 39823, 1546, 8082, 13992, 25922, 162, 3921, 5708, 50784], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 138, "seek": 33578, "start": 344.15999999999997, "end": 345.21999999999997, "text": "我们看图四", "tokens": [50784, 15003, 4200, 3919, 122, 19425, 50837], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 139, "seek": 33578, "start": 345.21999999999997, "end": 346.96, "text": "因为格式规范了", "tokens": [50837, 34627, 30921, 27584, 6758, 226, 27395, 225, 2289, 50924], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 140, "seek": 33578, "start": 346.96, "end": 349.15999999999997, "text": "模型无意义的冗余写入", "tokens": [50924, 41908, 39823, 31364, 9042, 2930, 231, 1546, 5676, 245, 1593, 247, 5676, 247, 14028, 51034], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 141, "seek": 33578, "start": 349.15999999999997, "end": 352.79999999999995, "text": "断崖是下跌了68%到83%", "tokens": [51034, 4307, 255, 49378, 244, 1541, 4438, 6563, 234, 2289, 27102, 4, 4511, 31849, 4, 51216], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 142, "seek": 33578, "start": 352.79999999999995, "end": 356.59999999999997, "text": "空搜索率降了13%到50%", "tokens": [51216, 23322, 162, 14987, 7732, 95, 44866, 47421, 2289, 7668, 4, 4511, 2803, 4, 51406], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 143, "seek": 33578, "start": 356.59999999999997, "end": 357.94, "text": "对于我们开发者来说", "tokens": [51406, 8713, 37732, 15003, 18937, 28926, 12444, 6912, 8090, 51473], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 144, "seek": 33578, "start": 357.94, "end": 359.0, "text": "这意味着什么呢", "tokens": [51473, 5562, 9042, 17268, 20708, 10440, 6240, 51526], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 145, "seek": 33578, "start": 359.0, "end": 361.5, "text": "在真实的生产环境里", "tokens": [51526, 3581, 6303, 24726, 1546, 8244, 1369, 100, 8051, 107, 47885, 15759, 51651], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 146, "seek": 33578, "start": 361.5, "end": 363.55999999999995, "text": "API是按Token计费的", "tokens": [51651, 4715, 40, 1541, 26613, 51, 8406, 7422, 94, 18464, 117, 1546, 51754], "temperature": 0, "avg_logprob": -0.14115341748196655, "compression_ratio": 1.1527777777777777, "no_speech_prob": 1.351648740849365e-11}, {"id": 147, "seek": 36356, "start": 363.56, "end": 366.86, "text": "GPU显存是按上下文长度占用的", "tokens": [50365, 38, 8115, 1431, 122, 39781, 1541, 26613, 5708, 4438, 17174, 32271, 13127, 5322, 254, 9254, 1546, 50530], "temperature": 0, "avg_logprob": -0.16482087969779968, "compression_ratio": 1.120879120879121, "no_speech_prob": 1.8115453581657448e-11}, {"id": 148, "seek": 36356, "start": 366.86, "end": 368.74, "text": "准确率不仅没掉", "tokens": [50530, 6336, 228, 38114, 106, 44866, 1960, 1550, 227, 10062, 29327, 50624], "temperature": 0, "avg_logprob": -0.16482087969779968, "compression_ratio": 1.120879120879121, "no_speech_prob": 1.8115453581657448e-11}, {"id": 149, "seek": 36356, "start": 368.74, "end": 372.94, "text": "每一步的输入上下文直接缩减了30%", "tokens": [50624, 23664, 2257, 31429, 1546, 9830, 241, 14028, 5708, 4438, 17174, 43297, 38109, 102, 6336, 237, 2289, 3446, 4, 50834], "temperature": 0, "avg_logprob": -0.16482087969779968, "compression_ratio": 1.120879120879121, "no_speech_prob": 1.8115453581657448e-11}, {"id": 150, "seek": 36356, "start": 372.94, "end": 377.9, "text": "也就是你的显存和API账单能闭眼省下30%", "tokens": [50834, 6404, 5620, 18961, 1431, 122, 39781, 12565, 4715, 40, 18464, 99, 47446, 8225, 8259, 255, 25281, 2862, 223, 4438, 3446, 4, 51082], "temperature": 0, "avg_logprob": -0.16482087969779968, "compression_ratio": 1.120879120879121, "no_speech_prob": 1.8115453581657448e-11}, {"id": 151, "seek": 36356, "start": 377.9, "end": 381.28, "text": "这就是这一篇论文最暴力的算力账本", "tokens": [51082, 5562, 5620, 5562, 2257, 20878, 229, 7422, 118, 17174, 8661, 23826, 112, 13486, 1546, 19497, 13486, 18464, 99, 8802, 51251], "temperature": 0, "avg_logprob": -0.16482087969779968, "compression_ratio": 1.120879120879121, "no_speech_prob": 1.8115453581657448e-11}, {"id": 152, "seek": 38128, "start": 381.28, "end": 384.52, "text": "并且这不仅仅是基于效率提高了", "tokens": [50365, 3509, 114, 20334, 5562, 1960, 1550, 227, 1550, 227, 1541, 26008, 37732, 43076, 44866, 20949, 12979, 2289, 50527], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 153, "seek": 38128, "start": 384.52, "end": 387.46, "text": "连模型执行任务的行为也变聪明了", "tokens": [50527, 3316, 252, 41908, 39823, 3416, 100, 8082, 26443, 5087, 94, 1546, 8082, 13992, 6404, 2129, 246, 8171, 103, 11100, 2289, 50674], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 154, "seek": 38128, "start": 387.46, "end": 389.46, "text": "你看图四最左侧这个图", "tokens": [50674, 16529, 3919, 122, 19425, 8661, 21975, 3254, 100, 15368, 3919, 122, 50774], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 155, "seek": 38128, "start": 389.46, "end": 391.11999999999995, "text": "游戏里的无效动作", "tokens": [50774, 9592, 116, 1486, 237, 15759, 1546, 31364, 43076, 34961, 11914, 50857], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 156, "seek": 38128, "start": 391.11999999999995, "end": 393.09999999999997, "text": "比如卡在墙角抽搐", "tokens": [50857, 36757, 32681, 3581, 24228, 247, 29389, 46022, 22220, 238, 50956], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 157, "seek": 38128, "start": 393.09999999999997, "end": 395.15999999999997, "text": "或者在走廊里来回踱步", "tokens": [50956, 31148, 3581, 9575, 17527, 232, 15759, 6912, 8350, 41166, 109, 31429, 51059], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 158, "seek": 38128, "start": 395.15999999999997, "end": 397.65999999999997, "text": "直接下降了将近65%", "tokens": [51059, 43297, 4438, 47421, 2289, 45456, 17463, 16824, 4, 51184], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 159, "seek": 38128, "start": 397.65999999999997, "end": 399.55999999999995, "text": "如果你觉得还不直观", "tokens": [51184, 45669, 29992, 14852, 1960, 16186, 42350, 51279], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 160, "seek": 38128, "start": 399.55999999999995, "end": 400.59999999999997, "text": "我们看图六里", "tokens": [51279, 15003, 4200, 3919, 122, 30566, 15759, 51331], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 161, "seek": 38128, "start": 400.59999999999997, "end": 403.29999999999995, "text": "Mini Hank的这个Current R3任务", "tokens": [51331, 44, 3812, 26427, 1546, 15368, 34, 374, 1753, 497, 18, 26443, 5087, 94, 51466], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 162, "seek": 38128, "start": 403.29999999999995, "end": 405.97999999999996, "text": "要求是在迷宫一样的走廊里", "tokens": [51466, 4275, 32718, 1541, 3581, 3316, 115, 2415, 104, 2257, 14496, 1546, 9575, 17527, 232, 15759, 51600], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 163, "seek": 38128, "start": 405.97999999999996, "end": 407.5, "text": "找到向下的楼梯", "tokens": [51600, 25085, 4511, 24282, 4438, 1546, 162, 2429, 19017, 107, 51676], "temperature": 0, "avg_logprob": -0.11483206660110758, "compression_ratio": 1.1716171617161717, "no_speech_prob": 1.544724938240538e-11}, {"id": 164, "seek": 40750, "start": 407.5, "end": 412.5, "text": "基础模型和紧优化结构的模型都在这里原地打转", "tokens": [50365, 26008, 38114, 222, 41908, 39823, 12565, 7732, 100, 7384, 246, 23756, 45641, 7360, 226, 1546, 41908, 39823, 7182, 3581, 35102, 19683, 10928, 12467, 17819, 105, 50615], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 165, "seek": 40750, "start": 412.5, "end": 414.74, "text": "不断重走走过的死胡同", "tokens": [50615, 1960, 4307, 255, 12624, 9575, 9575, 16866, 1546, 16989, 43861, 13089, 50727], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 166, "seek": 40750, "start": 414.74, "end": 416.4, "text": "直到部署耗尽", "tokens": [50727, 16186, 4511, 13470, 16469, 110, 4450, 245, 1530, 121, 50810], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 167, "seek": 40750, "start": 416.4, "end": 418.04, "text": "通关率是0%", "tokens": [50810, 19550, 28053, 44866, 1541, 15, 4, 50892], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 168, "seek": 40750, "start": 418.04, "end": 422.82, "text": "但是加上了专门训练的读写记忆的specialist之后", "tokens": [50892, 11189, 9990, 5708, 2289, 940, 241, 8259, 101, 7422, 255, 10115, 225, 1546, 5233, 119, 5676, 247, 34756, 4263, 228, 1546, 7053, 1013, 468, 9574, 13547, 51131], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 169, "seek": 40750, "start": 422.82, "end": 425.9, "text": "他内化了先查资料再写日志的习惯", "tokens": [51131, 5000, 34742, 23756, 2289, 10108, 42623, 5266, 226, 33404, 8623, 5676, 247, 6890, 44700, 1546, 2930, 254, 4799, 107, 51285], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 170, "seek": 40750, "start": 425.9, "end": 427.82, "text": "他成功穿透了迷宫", "tokens": [51285, 5000, 11336, 32311, 13740, 123, 45808, 2289, 3316, 115, 2415, 104, 51381], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 171, "seek": 40750, "start": 427.82, "end": 429.92, "text": "通过率直接反转", "tokens": [51381, 19550, 16866, 44866, 43297, 22138, 17819, 105, 51486], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 172, "seek": 40750, "start": 429.92, "end": 432.54, "text": "从0到了完美的100%", "tokens": [51486, 35630, 15, 21381, 14128, 9175, 1546, 6879, 4, 51617], "temperature": 0, "avg_logprob": -0.09636112473766256, "compression_ratio": 1.1758620689655173, "no_speech_prob": 1.29611391064266e-11}, {"id": 173, "seek": 40750, "start": 432.54, "end": 435.46, "text": "这是一个巨大的极其震撼的飞跃", "tokens": [51617, 27455, 20182, 5238, 101, 39156, 7360, 223, 9572, 18594, 229, 20559, 120, 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