{"text": "哈喽下班了好久没有看到让人眼前一亮的研究了最近看到日本的一家AI公司叫Sakana AI他们最新提出了一个模型叫Fugu就是河豚的意思然后我觉得非常有意思它不是一个特别特别强的一个天才模型而是一个集体智慧靠训练模型的管理能力强化出来的一个全新的模型然后他们这个公司很有意思因为日本的AI感觉一直以来没有什么声音但是可能Sakana AI是它唯一一家我觉得可能是最有希望的一家AI公司因为两个创始人一个是从Google Brain出来的以前就是做复杂系统研究的另外一个是Transformer的八位作者之一就是Attention is all you need的那篇论文的八位作者之一他们两个有一个特别独特的审美品位他们一直认为可以从自然中学习和借鉴比如说从这种渔群啊这个风群啊从自然界中它的这个自组织包括涌现集体智慧这些层面去给模型的研发一些启示所以他们一直以来就是去探索的这个方向就是在去看这些模型能不能通过彼此之间合作就像这个基因片段之间的合作一样能不能找到一些新的机会和方向所以他们这次推出的FUGU这个模型呢就是用了集体智慧的这种意思啊而且取得了非常好的效果他们最近的这个打榜啊在各种评测上都非常棒都超过了OPUS 4.8就是它不是一个模型而是一个模型强化出来的一些管理能力就相当于是用这一个模型它可以组织调度开源的和避源的模型来协同工作来实现的一种非常好的结果那比如说在这个榜单上你在这种编程的榜单上甚至超过了FUGU5然后有的榜单呢跟NESOS处于同一个水平包括Humanity Last Exam上也超过Gemini 3.1 Pro这个模型背后啊实际上是由两篇论文去做支撑的两个论文探索的其实是不同的方向一篇呢是叫Trinity就是三文一体的那个Trinity它讲的呢就是说去探索一下模型能不能在一个比较简单任务的调度方面能够有一个非常快的响应能够去在三种角色上用不同的模型来实现相当于用了一套方法啊一套演化的方法去探索出来一个路径能够让这个模型知道接下来这一步操作应该让哪个模型以一个什么样的身份去参与下一步工作比如说他们把模型划分为三种角色这个我们也之前讲过最有效的三种角色一种是Thinker就是思考者一种是这个执行者就是Worker另外一种是Verifier就是验证者一般我们说这三种角色就可以起到一个非常好的效果那这个模型就是一个0.6B的一个小模型就是在这个内部的状态上再去识别接下来通过上下文的感知认为接下来应该用什么样的模型用一个什么样的角色来去执行下一步工作然后直接就让这个模型开始工作特别像是一个调度器就如果类比成公司来说它就像一个在生产线上去排弯的一个经理它有非常明确的对下一步状态的一个感知然后它就直接想都没想就直接执行了这样的操作然后这是一条线另外一条线是它另外一篇论文里讲的叫Conductor就是一个指挥家的角色就有点像我们去做Multi AgentSystem去协作让多个模型多个智能体让它去分工协作有一个复杂的任务让它在这个复杂任务中做拆解比如说这个任务应该有几个Agent来完成每一个Agent是什么角色以及他们之间应该是怎么样去信息交互他们是一个什么样的凑谱结构以及他们这个彼此之间有哪个是PM哪个是负责全局的哪些是负责执行哪些是负责验证的就是也是要有一系列非常明确的身份规划就特别像他们强化训练出来了一个大概7B的一个模型去调动不同的模型来去解决问题然后这个就特别像一个职业经理人他有非常强的管理能力相当于模型在通过强化学习的训练之后我给模型激励如果你要调度不同的模型产生一些比较好的结果的话那我就给你激励所以这个是非常有意思的一个方向其实他们也是在这一次的论文中明确了通过强化学习确实是可以把模型的调度能力提升上去的甚至是涌现出了一些超出以往单一模型执行的能力然后其实我们都知道像这样的一些能力我们现在在Harness Engineering里面就是在做嘛我们也在做编排比如说在Workbody里面我们可以有这个股票交易的这个专家对吧他其实就是在用Multi Agent来去实现一些更好的一些判断比如说有人唱空有人唱多有人对这个基本面做分析有人对鱼形做分析就是他不同的模型他负责的方向是不一样的但是他们是用了一个相当于是训练一个模型去拥有这个调度能力的这种方式相当于让Harness的这个能力在模型中进行了沉淀而且他也不光是训练的这些任务他能够做他还泛化出来了一些其他的能力就是他可以在没见过的任务上也产出同样很好的一个水平所以他是一个非常有意思的一个结构我们从他那个官网上的模型结构图上其实可以看到他就是一个复古这个模型他可以access就可以接触到有的是开源模型有的是必源模型同样他也可以接触到他自己他是一个地规的一个架构然后所以这条方法他们评估下来发现不光是在这些场景上trading比如说做交易的评测然后看一段时间之后哪一个交易模型的这个带来的交易收益更高对吧或者是让他解一个谜题做一个魔方然后恢复一个魔方哪个效果会更快哪一个步数更少相当于一系列的测试中发现这种方式确实能够起到一个很好的效果那这个意味着什么呢我觉得就是很容易类比和联想到我们人类社会上就是我们每个人其实都有自己不同的能力有的人擅长写代码 有的人擅长执行有的人擅长写文章 那不同的模型也像我们人一样有不同的能力那通过这种管理者就是有一个模型专门拥有了这个管理能力我去协调这些模型能够产生一个非常好的效果对 然后这个是就是很有意思了就是因为我是学城市规划的然后我对这种组织这个叫集体智慧集体智能涌现就非常感兴趣而且它这个方向也正好契合了我们前一段时间写的就是从超级个体到超级团队为什么有了一个一个的天才模型之后它依然需要团队 对吧有了这个要数据中心中的天才之国那为什么还需要这个不同模型之间的协作就是因为协作还是可以去拉高上线的而且这次的这个论文也是发现了在强化学习的这个训练方法之下这种协调能力也可以被训练出来这就带来了两个问题一个呢就是那harness还重不重要对吧 比如说我们有未来模型可以吸收到这些模型的编排之后那我们还要不要有harness我的观点是它两个都同样重要就像你有大组织也有出放公司一样就是还是有非常非常多的场景需要去灵活的探索就可能还没有被吸收到模型的能力里面所以我认为未来的每一个软件公司在未来可能都会变成一个模型公司这个模型公司就是专门去为特定的场景特定的数据然后特定的条件去做优化的如果你能够在一个特定的场景下去调用非常多的模型去解决场景的问题能够在效率成本还有速度之间取得一个很好的平衡的话那你就是能够贡献价值的未来比如说像富库这个公司它可以提供一套通用的这种conductor就是模型编排能力但是每一个软件公司因为你对场景数据最了解你对这个模型的评测最了解那你是可以在这个场景中最有发言权的所以我觉得这个肯定是一个就是harness和这种模型端它都会同时存在还有一个问题那我们既然说集体智慧这么重要了那单个模型的智能还重不重要我觉得依然是重要的因为就是你把一个天才和一堆普通人放在一起发挥的价值和把一堆天才聚集在一起发挥的价值那可是差的不只是一倍两倍三倍对吧那可能是十倍几十倍的差异所以像那个阿茂Day他说的未来在这个数据中心中的天才之国就是当这个数据中心中有很多的模型它都是天才的时候那产生的这个效应和效果那其实是超乎想象的所以我觉得未来可能这个技术路线不光是在日本的这家公司里会去使用就是像前沿模型这些公司他们也会去使用他们也会去开始这个组织智能的探索其实像OpenAI之前把HCI的实现划分了五个等级那最后一等级就是Organizer就是协调者组织者那我觉得这一次的这个Takana AI确实是在这个方向上得到了一个很好的突破就是验证了这个方向也是可行的所以我觉得接下来对我们每个人来说就是你费劲巴拉的去写Multi Agent的这些约束其实不如直接拿一个模型来去使用这也并不是说我们自己就没那么重要了而是说我们的时间注意力可以解放在更多我们更擅长的这种端到端的以及线下的一些事情上去对机会还是存在的只是说现在我们有更多的模型公司的研发可以把人类的注意力更好的解脱出来我就做这些推演吧拜拜拜拜拜拜", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 1.24, "text": "哈喽下班了", "tokens": [50365, 10595, 5234, 121, 4438, 44695, 2289, 50427], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 1, "seek": 0, "start": 1.24, "end": 4.3, "text": "好久没有看到让人眼前一亮的研究了", "tokens": [50427, 2131, 25320, 17944, 18032, 33650, 4035, 25281, 8945, 2257, 22991, 1546, 23230, 242, 44704, 2289, 50580], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 2, "seek": 0, "start": 4.3, "end": 8.040000000000001, "text": "最近看到日本的一家AI公司叫Sakana AI", "tokens": [50580, 46777, 18032, 27311, 1546, 2257, 5155, 48698, 13545, 32981, 19855, 50, 514, 2095, 7318, 50767], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 3, "seek": 0, "start": 8.040000000000001, "end": 11.540000000000001, "text": "他们最新提出了一个模型叫Fugu", "tokens": [50767, 47911, 8661, 12560, 20949, 7781, 2289, 20182, 41908, 39823, 19855, 37, 13705, 50942], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 4, "seek": 0, "start": 11.540000000000001, "end": 13.58, "text": "就是河豚的意思", "tokens": [50942, 5620, 3308, 111, 19517, 248, 1546, 16697, 51044], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 5, "seek": 0, "start": 13.58, "end": 15.540000000000001, "text": "然后我觉得非常有意思", "tokens": [51044, 26636, 45681, 14392, 2412, 16697, 51142], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 6, "seek": 0, "start": 15.540000000000001, "end": 19.44, "text": "它不是一个特别特别强的一个天才模型", "tokens": [51142, 11284, 7296, 20182, 17682, 18453, 17682, 18453, 5702, 118, 1546, 20182, 6135, 18888, 41908, 39823, 51337], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 7, "seek": 0, "start": 19.44, "end": 21.22, "text": "而是一个集体智慧", "tokens": [51337, 11070, 1541, 20182, 26020, 29485, 5094, 118, 12358, 100, 51426], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 8, "seek": 0, "start": 21.22, "end": 25.84, "text": "靠训练模型的管理能力强化出来的一个全新的模型", "tokens": [51426, 5363, 254, 7422, 255, 10115, 225, 41908, 39823, 1546, 23131, 13876, 8225, 13486, 5702, 118, 23756, 44561, 1546, 20182, 11319, 12560, 1546, 41908, 39823, 51657], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 9, "seek": 0, "start": 25.84, "end": 28.48, "text": "然后他们这个公司很有意思", "tokens": [51657, 26636, 47911, 15368, 13545, 32981, 49295, 16697, 51789], "temperature": 0, "avg_logprob": -0.08094896288479075, "compression_ratio": 1.3309859154929577, "no_speech_prob": 2.0338557227272958e-11}, {"id": 10, "seek": 2848, "start": 28.48, "end": 31.66, "text": "因为日本的AI感觉一直以来没有什么声音", "tokens": [50365, 34627, 27311, 1546, 48698, 9709, 24447, 34448, 3588, 6912, 17944, 10440, 32045, 18034, 50524], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 11, "seek": 2848, "start": 31.66, "end": 35.52, "text": "但是可能Sakana AI是它唯一一家", "tokens": [50524, 11189, 16657, 50, 514, 2095, 7318, 1541, 11284, 17198, 107, 2257, 2257, 5155, 50717], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 12, "seek": 2848, "start": 35.52, "end": 38.38, "text": "我觉得可能是最有希望的一家AI公司", "tokens": [50717, 45681, 16657, 1541, 8661, 2412, 29955, 1546, 2257, 5155, 48698, 13545, 32981, 50860], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 13, "seek": 2848, "start": 38.38, "end": 40.44, "text": "因为两个创始人", "tokens": [50860, 34627, 36257, 7549, 2437, 249, 15476, 4035, 50963], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 14, "seek": 2848, "start": 40.44, "end": 42.64, "text": "一个是从Google Brain出来的", "tokens": [50963, 20182, 1541, 35630, 12104, 3127, 29783, 44561, 1546, 51073], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 15, "seek": 2848, "start": 42.64, "end": 44.36, "text": "以前就是做复杂系统研究的", "tokens": [51073, 44996, 5620, 10907, 1787, 235, 4422, 224, 25368, 10115, 253, 23230, 242, 44704, 1546, 51159], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 16, "seek": 2848, "start": 44.36, "end": 49.06, "text": "另外一个是Transformer的八位作者之一", "tokens": [51159, 26202, 20182, 1541, 33339, 837, 260, 1546, 33453, 11160, 11914, 12444, 9574, 2257, 51394], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 17, "seek": 2848, "start": 49.06, "end": 52.58, "text": "就是Attention is all you need的那篇论文的八位作者之一", "tokens": [51394, 5620, 38151, 1251, 307, 439, 291, 643, 1546, 4184, 20878, 229, 7422, 118, 17174, 1546, 33453, 11160, 11914, 12444, 9574, 2257, 51570], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 18, "seek": 2848, "start": 52.58, "end": 55.620000000000005, "text": "他们两个有一个特别独特的审美品位", "tokens": [51570, 47911, 36257, 7549, 2412, 20182, 17682, 18453, 18637, 105, 17682, 1546, 2415, 94, 9175, 30246, 11160, 51722], "temperature": 0, "avg_logprob": -0.0815122005713247, "compression_ratio": 1.2532051282051282, "no_speech_prob": 6.966275646613784e-12}, {"id": 19, "seek": 5562, "start": 55.62, "end": 58.959999999999994, "text": "他们一直认为可以从自然中学习和借鉴", "tokens": [50365, 47911, 34448, 7422, 97, 13992, 6723, 35630, 9722, 5823, 5975, 29618, 2930, 254, 12565, 2122, 253, 21829, 112, 50532], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 20, "seek": 5562, "start": 58.959999999999994, "end": 61.379999999999995, "text": "比如说从这种渔群啊", "tokens": [50532, 36757, 8090, 35630, 5562, 39810, 9592, 242, 7248, 97, 4905, 50653], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 21, "seek": 5562, "start": 61.379999999999995, "end": 62.66, "text": "这个风群啊", "tokens": [50653, 15368, 47209, 7248, 97, 4905, 50717], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 22, "seek": 5562, "start": 62.66, "end": 65.72, "text": "从自然界中它的这个自组织", "tokens": [50717, 35630, 9722, 5823, 21185, 5975, 45224, 15368, 9722, 10115, 226, 10115, 229, 50870], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 23, "seek": 5562, "start": 65.72, "end": 66.84, "text": "包括涌现", "tokens": [50870, 41828, 162, 20353, 20204, 50926], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 24, "seek": 5562, "start": 66.84, "end": 67.9, "text": "集体智慧", "tokens": [50926, 26020, 29485, 5094, 118, 12358, 100, 50979], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 25, "seek": 5562, "start": 67.9, "end": 70.88, "text": "这些层面去给模型的研发一些启示", "tokens": [50979, 5562, 13824, 9636, 224, 8833, 6734, 23197, 41908, 39823, 1546, 23230, 242, 28926, 38515, 2392, 107, 25696, 51128], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 26, "seek": 5562, "start": 70.88, "end": 74.62, "text": "所以他们一直以来就是去探索的这个方向", "tokens": [51128, 7239, 47911, 34448, 3588, 6912, 5620, 6734, 6900, 95, 7732, 95, 1546, 15368, 9249, 24282, 51315], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 27, "seek": 5562, "start": 74.62, "end": 76.7, "text": "就是在去看这些模型", "tokens": [51315, 5620, 3581, 6734, 4200, 5562, 13824, 41908, 39823, 51419], "temperature": 0, "avg_logprob": -0.10605856024700662, "compression_ratio": 1.3676470588235294, "no_speech_prob": 1.7571260418902668e-11}, {"id": 28, "seek": 7670, "start": 76.7, "end": 79.04, "text": "能不能通过彼此之间合作", "tokens": [50365, 8225, 28590, 19550, 16866, 7391, 120, 17947, 9574, 31685, 14245, 11914, 50482], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 29, "seek": 7670, "start": 79.04, "end": 81.8, "text": "就像这个基因片段之间的合作一样", "tokens": [50482, 3111, 12760, 15368, 26008, 8698, 16668, 28427, 9574, 31685, 1546, 14245, 11914, 2257, 14496, 50620], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 30, "seek": 7670, "start": 81.8, "end": 84.08, "text": "能不能找到一些新的机会和方向", "tokens": [50620, 8225, 28590, 25085, 4511, 38515, 12560, 1546, 37960, 12949, 12565, 9249, 24282, 50734], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 31, "seek": 7670, "start": 84.08, "end": 87.24000000000001, "text": "所以他们这次推出的FUGU这个模型呢", "tokens": [50734, 7239, 47911, 5562, 9487, 33597, 7781, 1546, 37, 52, 32298, 15368, 41908, 39823, 6240, 50892], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 32, "seek": 7670, "start": 87.24000000000001, "end": 90.04, "text": "就是用了集体智慧的这种意思啊", "tokens": [50892, 5620, 9254, 2289, 26020, 29485, 5094, 118, 12358, 100, 1546, 5562, 39810, 16697, 4905, 51032], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 33, "seek": 7670, "start": 90.04, "end": 91.84, "text": "而且取得了非常好的效果", "tokens": [51032, 22942, 29436, 5916, 2289, 14392, 20715, 43076, 9319, 51122], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 34, "seek": 7670, "start": 91.84, "end": 93.80000000000001, "text": "他们最近的这个打榜啊", "tokens": [51122, 47911, 46777, 1546, 15368, 12467, 22989, 250, 4905, 51220], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 35, "seek": 7670, "start": 93.80000000000001, "end": 96.96000000000001, "text": "在各种评测上都非常棒", "tokens": [51220, 3581, 17516, 39810, 5233, 226, 11038, 233, 5708, 7182, 14392, 23514, 51378], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 36, "seek": 7670, "start": 96.96000000000001, "end": 98.36, "text": "都超过了OPUS 4.8", "tokens": [51378, 7182, 19869, 16866, 2289, 12059, 3447, 1017, 13, 23, 51448], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 37, "seek": 7670, "start": 98.36, "end": 99.48, "text": "就是它不是一个模型", "tokens": [51448, 5620, 11284, 7296, 20182, 41908, 39823, 51504], "temperature": 0, "avg_logprob": -0.14301632725915245, "compression_ratio": 1.27007299270073, "no_speech_prob": 1.5993690746785028e-11}, {"id": 38, "seek": 9948, "start": 99.48, "end": 102.76, "text": "而是一个模型强化出来的一些管理能力", "tokens": [50365, 11070, 1541, 20182, 41908, 39823, 5702, 118, 23756, 44561, 1546, 38515, 23131, 13876, 8225, 13486, 50529], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 39, "seek": 9948, "start": 102.76, "end": 104.64, "text": "就相当于是用这一个模型", "tokens": [50529, 3111, 15106, 16233, 37732, 1541, 9254, 5562, 20182, 41908, 39823, 50623], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 40, "seek": 9948, "start": 104.64, "end": 108.04, "text": "它可以组织调度开源的和避源的模型", "tokens": [50623, 11284, 6723, 10115, 226, 10115, 229, 8897, 225, 13127, 18937, 47402, 1546, 12565, 3330, 123, 47402, 1546, 41908, 39823, 50793], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 41, "seek": 9948, "start": 108.04, "end": 108.98, "text": "来协同工作", "tokens": [50793, 6912, 5322, 237, 13089, 41315, 50840], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 42, "seek": 9948, "start": 108.98, "end": 111.22, "text": "来实现的一种非常好的结果", "tokens": [50840, 6912, 24726, 20204, 1546, 2257, 39810, 14392, 20715, 45641, 9319, 50952], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 43, "seek": 9948, "start": 111.22, "end": 112.9, "text": "那比如说在这个榜单上", "tokens": [50952, 4184, 36757, 8090, 3581, 15368, 22989, 250, 47446, 5708, 51036], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 44, "seek": 9948, "start": 112.9, "end": 114.7, "text": "你在这种编程的榜单上", "tokens": [51036, 41410, 5562, 39810, 38109, 244, 29649, 1546, 22989, 250, 47446, 5708, 51126], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 45, "seek": 9948, "start": 114.7, "end": 116.48, "text": "甚至超过了FUGU5", "tokens": [51126, 17556, 20844, 19869, 16866, 2289, 37, 52, 32298, 20, 51215], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 46, "seek": 9948, "start": 116.48, "end": 118.96000000000001, "text": "然后有的榜单呢", "tokens": [51215, 26636, 2412, 1546, 22989, 250, 47446, 6240, 51339], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 47, "seek": 9948, "start": 118.96000000000001, "end": 120.94, "text": "跟NESOS处于同一个水平", "tokens": [51339, 9678, 45, 2358, 4367, 1787, 226, 37732, 13089, 20182, 15590, 16716, 51438], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 48, "seek": 9948, "start": 120.94, "end": 123.86, "text": "包括Humanity Last Exam上", "tokens": [51438, 41828, 39, 6829, 507, 5264, 24755, 5708, 51584], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 49, "seek": 9948, "start": 123.86, "end": 125.64, "text": "也超过Gemini 3.1 Pro", "tokens": [51584, 6404, 19869, 16866, 38, 443, 3812, 805, 13, 16, 1705, 51673], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 50, "seek": 9948, "start": 125.64, "end": 127.12, "text": "这个模型背后啊", "tokens": [51673, 15368, 41908, 39823, 46329, 13547, 4905, 51747], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 51, "seek": 9948, "start": 127.12, "end": 128.82, "text": "实际上是由两篇论文", "tokens": [51747, 24726, 8842, 227, 5708, 1541, 23786, 36257, 20878, 229, 7422, 118, 17174, 51832], "temperature": 0, "avg_logprob": -0.11839449475383201, "compression_ratio": 1.2530487804878048, "no_speech_prob": 1.3672966404920661e-11}, {"id": 52, "seek": 12882, "start": 128.82, "end": 129.82, "text": "去做支撑的", "tokens": [50365, 6734, 10907, 24400, 20559, 239, 1546, 50415], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 53, "seek": 12882, "start": 129.82, "end": 131.35999999999999, "text": "两个论文探索的", "tokens": [50415, 36257, 7549, 7422, 118, 17174, 6900, 95, 7732, 95, 1546, 50492], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 54, "seek": 12882, "start": 131.35999999999999, "end": 132.54, "text": "其实是不同的方向", "tokens": [50492, 41646, 1541, 47123, 1546, 9249, 24282, 50551], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 55, "seek": 12882, "start": 132.54, "end": 134.98, "text": "一篇呢是叫Trinity", "tokens": [50551, 2257, 20878, 229, 6240, 1541, 19855, 14252, 11540, 50673], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 56, "seek": 12882, "start": 134.98, "end": 136.66, "text": "就是三文一体的那个Trinity", "tokens": [50673, 5620, 10960, 17174, 2257, 29485, 1546, 43083, 14252, 11540, 50757], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 57, "seek": 12882, "start": 136.66, "end": 138.18, "text": "它讲的呢", "tokens": [50757, 11284, 39255, 1546, 6240, 50833], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 58, "seek": 12882, "start": 138.18, "end": 139.66, "text": "就是说去探索一下", "tokens": [50833, 5620, 8090, 6734, 6900, 95, 7732, 95, 8861, 50907], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 59, "seek": 12882, "start": 139.66, "end": 141.42, "text": "模型能不能在一个", "tokens": [50907, 41908, 39823, 8225, 28590, 3581, 20182, 50995], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 60, "seek": 12882, "start": 141.42, "end": 144.06, "text": "比较简单任务的调度方面", "tokens": [50995, 11706, 9830, 225, 11249, 222, 47446, 26443, 5087, 94, 1546, 8897, 225, 13127, 39604, 51127], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 61, "seek": 12882, "start": 144.06, "end": 145.98, "text": "能够有一个非常快的响应", "tokens": [51127, 8225, 1787, 253, 2412, 20182, 14392, 10251, 1546, 3858, 235, 44297, 51223], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 62, "seek": 12882, "start": 145.98, "end": 148.66, "text": "能够去在三种角色上", "tokens": [51223, 8225, 1787, 253, 6734, 3581, 10960, 39810, 29389, 17673, 5708, 51357], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 63, "seek": 12882, "start": 148.66, "end": 150.06, "text": "用不同的模型来实现", "tokens": [51357, 9254, 47123, 1546, 41908, 39823, 6912, 24726, 20204, 51427], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 64, "seek": 12882, "start": 150.06, "end": 152.26, "text": "相当于用了一套方法啊", "tokens": [51427, 15106, 16233, 37732, 9254, 2289, 2257, 1881, 245, 9249, 11148, 4905, 51537], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 65, "seek": 12882, "start": 152.26, "end": 153.78, "text": "一套演化的方法", "tokens": [51537, 2257, 1881, 245, 31382, 23756, 1546, 9249, 11148, 51613], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 66, "seek": 12882, "start": 153.78, "end": 156.18, "text": "去探索出来一个路径", "tokens": [51613, 6734, 6900, 95, 7732, 95, 44561, 20182, 24658, 2172, 226, 51733], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 67, "seek": 12882, "start": 156.18, "end": 157.79999999999998, "text": "能够让这个模型知道", "tokens": [51733, 8225, 1787, 253, 33650, 15368, 41908, 39823, 7758, 51814], "temperature": 0, "avg_logprob": -0.09977571587813527, "compression_ratio": 1.3923611111111112, "no_speech_prob": 1.4108336027218726e-11}, {"id": 68, "seek": 15780, "start": 157.8, "end": 159.4, "text": "接下来这一步操作", "tokens": [50365, 14468, 4438, 6912, 5562, 2257, 31429, 13167, 235, 11914, 50445], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 69, "seek": 15780, "start": 159.4, "end": 161.0, "text": "应该让哪个模型", "tokens": [50445, 44297, 44646, 33650, 17028, 7549, 41908, 39823, 50525], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 70, "seek": 15780, "start": 161.0, "end": 162.76000000000002, "text": "以一个什么样的身份", "tokens": [50525, 3588, 20182, 10440, 14496, 1546, 19847, 36266, 50613], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 71, "seek": 15780, "start": 162.76000000000002, "end": 164.08, "text": "去参与下一步工作", "tokens": [50613, 6734, 2129, 224, 940, 236, 45271, 31429, 41315, 50679], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 72, "seek": 15780, "start": 164.08, "end": 165.4, "text": "比如说他们把模型", "tokens": [50679, 36757, 8090, 47911, 16075, 41908, 39823, 50745], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 73, "seek": 15780, "start": 165.4, "end": 166.60000000000002, "text": "划分为三种角色", "tokens": [50745, 2437, 240, 6627, 13992, 10960, 39810, 29389, 17673, 50805], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 74, "seek": 15780, "start": 166.60000000000002, "end": 167.76000000000002, "text": "这个我们也之前讲过", "tokens": [50805, 15368, 15003, 6404, 32442, 39255, 16866, 50863], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 75, "seek": 15780, "start": 167.76000000000002, "end": 168.94, "text": "最有效的三种角色", "tokens": [50863, 8661, 2412, 43076, 1546, 10960, 39810, 29389, 17673, 50922], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 76, "seek": 15780, "start": 168.94, "end": 170.0, "text": "一种是Thinker", "tokens": [50922, 2257, 39810, 1541, 2434, 40467, 50975], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 77, "seek": 15780, "start": 170.0, "end": 170.8, "text": "就是思考者", "tokens": [50975, 5620, 8870, 26504, 12444, 51015], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 78, "seek": 15780, "start": 170.8, "end": 173.06, "text": "一种是这个执行者", "tokens": [51015, 2257, 39810, 1541, 15368, 3416, 100, 8082, 12444, 51128], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 79, "seek": 15780, "start": 173.06, "end": 173.92000000000002, "text": "就是Worker", "tokens": [51128, 5620, 28846, 260, 51171], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 80, "seek": 15780, "start": 173.92000000000002, "end": 175.4, "text": "另外一种是Verifier", "tokens": [51171, 26202, 2257, 39810, 1541, 36929, 9902, 51245], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 81, "seek": 15780, "start": 175.4, "end": 176.52, "text": "就是验证者", "tokens": [51245, 5620, 49657, 234, 5233, 223, 12444, 51301], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 82, "seek": 15780, "start": 176.52, "end": 178.10000000000002, "text": "一般我们说这三种角色", "tokens": [51301, 2257, 49640, 15003, 8090, 5562, 10960, 39810, 29389, 17673, 51380], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 83, "seek": 15780, "start": 178.10000000000002, "end": 179.18, "text": "就可以起到一个", "tokens": [51380, 36781, 9147, 4511, 20182, 51434], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 84, "seek": 15780, "start": 179.18, "end": 180.08, "text": "非常好的效果", "tokens": [51434, 14392, 20715, 43076, 9319, 51479], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 85, "seek": 15780, "start": 180.08, "end": 180.98000000000002, "text": "那这个模型", "tokens": [51479, 4184, 15368, 41908, 39823, 51524], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 86, "seek": 15780, "start": 180.98000000000002, "end": 182.34, "text": "就是一个0.6B的", "tokens": [51524, 5620, 20182, 15, 13, 21, 33, 1546, 51592], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 87, "seek": 15780, "start": 182.34, "end": 183.16000000000003, "text": "一个小模型", "tokens": [51592, 20182, 7322, 41908, 39823, 51633], "temperature": 0, "avg_logprob": -0.156410263523911, "compression_ratio": 1.416382252559727, "no_speech_prob": 1.6254548054761564e-11}, {"id": 88, "seek": 18316, "start": 183.16, "end": 186.26, "text": "就是在这个内部的状态上", "tokens": [50365, 5620, 3581, 15368, 34742, 13470, 1546, 35276, 114, 3757, 223, 5708, 50520], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 89, "seek": 18316, "start": 186.26, "end": 187.06, "text": "再去识别", "tokens": [50520, 8623, 6734, 5233, 228, 18453, 50560], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 90, "seek": 18316, "start": 187.06, "end": 188.78, "text": "接下来通过上下文的感知", "tokens": [50560, 14468, 4438, 6912, 19550, 16866, 5708, 4438, 17174, 1546, 9709, 6498, 50646], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 91, "seek": 18316, "start": 188.78, "end": 189.44, "text": "认为接下来", "tokens": [50646, 7422, 97, 13992, 14468, 4438, 6912, 50679], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 92, "seek": 18316, "start": 189.44, "end": 191.32, "text": "应该用什么样的模型", "tokens": [50679, 44297, 44646, 9254, 10440, 14496, 1546, 41908, 39823, 50773], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 93, "seek": 18316, "start": 191.32, "end": 192.35999999999999, "text": "用一个什么样的角色", "tokens": [50773, 9254, 20182, 10440, 14496, 1546, 29389, 17673, 50825], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 94, "seek": 18316, "start": 192.35999999999999, "end": 193.76, "text": "来去执行下一步工作", "tokens": [50825, 6912, 6734, 3416, 100, 8082, 45271, 31429, 41315, 50895], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 95, "seek": 18316, "start": 193.76, "end": 195.44, "text": "然后直接就让这个模型", "tokens": [50895, 26636, 43297, 3111, 33650, 15368, 41908, 39823, 50979], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 96, "seek": 18316, "start": 195.44, "end": 195.88, "text": "开始工作", "tokens": [50979, 45213, 41315, 51001], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 97, "seek": 18316, "start": 195.88, "end": 197.35999999999999, "text": "特别像是一个调度器", "tokens": [51001, 17682, 18453, 12760, 1541, 20182, 8897, 225, 13127, 34386, 51075], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 98, "seek": 18316, "start": 197.35999999999999, "end": 199.07999999999998, "text": "就如果类比成公司来说", "tokens": [51075, 3111, 13119, 22113, 119, 11706, 11336, 13545, 32981, 6912, 8090, 51161], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 99, "seek": 18316, "start": 199.07999999999998, "end": 200.92, "text": "它就像一个在生产线上", "tokens": [51161, 11284, 3111, 12760, 20182, 3581, 8244, 1369, 100, 16853, 123, 5708, 51253], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 100, "seek": 18316, "start": 200.92, "end": 202.14, "text": "去排弯的一个经理", "tokens": [51253, 6734, 44647, 5702, 107, 1546, 20182, 30276, 13876, 51314], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 101, "seek": 18316, "start": 202.14, "end": 204.07999999999998, "text": "它有非常明确的", "tokens": [51314, 11284, 2412, 14392, 11100, 38114, 106, 1546, 51411], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 102, "seek": 18316, "start": 204.07999999999998, "end": 206.0, "text": "对下一步状态的一个感知", "tokens": [51411, 8713, 45271, 31429, 35276, 114, 3757, 223, 1546, 20182, 9709, 6498, 51507], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 103, "seek": 18316, "start": 206.0, "end": 206.88, "text": "然后它就直接", "tokens": [51507, 26636, 11284, 3111, 43297, 51551], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 104, "seek": 18316, "start": 206.88, "end": 207.76, "text": "想都没想", "tokens": [51551, 7093, 7182, 10062, 7093, 51595], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 105, "seek": 18316, "start": 207.76, "end": 209.56, "text": "就直接执行了这样的操作", "tokens": [51595, 3111, 43297, 3416, 100, 46606, 21209, 1546, 13167, 235, 11914, 51685], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 106, "seek": 18316, "start": 209.56, "end": 210.98, "text": "然后这是一条线", "tokens": [51685, 26636, 27455, 2257, 48837, 16853, 123, 51756], "temperature": 0, "avg_logprob": -0.13151244086188238, "compression_ratio": 1.5604026845637584, "no_speech_prob": 1.493639933958235e-11}, {"id": 107, "seek": 21098, "start": 210.98, "end": 213.38, "text": "另外一条线是它另外一篇论文里讲的", "tokens": [50365, 26202, 2257, 48837, 16853, 123, 1541, 11284, 26202, 2257, 20878, 229, 7422, 118, 17174, 15759, 39255, 1546, 50485], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 108, "seek": 21098, "start": 213.38, "end": 214.39999999999998, "text": "叫Conductor", "tokens": [50485, 19855, 34, 31295, 1672, 50536], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 109, "seek": 21098, "start": 214.39999999999998, "end": 217.22, "text": "就是一个指挥家的角色", "tokens": [50536, 5620, 20182, 25922, 8501, 98, 5155, 1546, 29389, 17673, 50677], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 110, "seek": 21098, "start": 217.22, "end": 219.48, "text": "就有点像我们去做Multi Agent", "tokens": [50677, 3111, 2412, 12579, 12760, 15003, 6734, 10907, 44, 723, 72, 27174, 50790], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 111, "seek": 21098, "start": 219.48, "end": 221.7, "text": "System去协作", "tokens": [50790, 50, 9321, 6734, 5322, 237, 11914, 50901], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 112, "seek": 21098, "start": 221.7, "end": 222.78, "text": "让多个模型", "tokens": [50901, 33650, 6392, 7549, 41908, 39823, 50955], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 113, "seek": 21098, "start": 222.78, "end": 223.51999999999998, "text": "多个智能体", "tokens": [50955, 6392, 7549, 5094, 118, 8225, 29485, 50992], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 114, "seek": 21098, "start": 223.51999999999998, "end": 225.14, "text": "让它去分工协作", "tokens": [50992, 33650, 11284, 6734, 6627, 23323, 5322, 237, 11914, 51073], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 115, "seek": 21098, "start": 225.14, "end": 226.7, "text": "有一个复杂的任务", "tokens": [51073, 2412, 20182, 1787, 235, 4422, 224, 1546, 26443, 5087, 94, 51151], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 116, "seek": 21098, "start": 226.7, "end": 229.01999999999998, "text": "让它在这个复杂任务中做拆解", "tokens": [51151, 33650, 11284, 3581, 15368, 1787, 235, 4422, 224, 26443, 5087, 94, 5975, 10907, 6852, 228, 17278, 51267], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 117, "seek": 21098, "start": 229.01999999999998, "end": 229.89999999999998, "text": "比如说", "tokens": [51267, 36757, 8090, 51311], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 118, "seek": 21098, "start": 229.89999999999998, "end": 232.66, "text": "这个任务应该有几个Agent来完成", "tokens": [51311, 15368, 26443, 5087, 94, 44297, 44646, 2412, 6336, 254, 7549, 32, 6930, 6912, 41509, 51449], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 119, "seek": 21098, "start": 232.66, "end": 234.29999999999998, "text": "每一个Agent是什么角色", "tokens": [51449, 23664, 20182, 32, 6930, 1541, 10440, 29389, 17673, 51531], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 120, "seek": 21098, "start": 234.29999999999998, "end": 235.38, "text": "以及他们之间", "tokens": [51531, 40282, 47911, 9574, 31685, 51585], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 121, "seek": 21098, "start": 235.38, "end": 237.17999999999998, "text": "应该是怎么样去信息交互", "tokens": [51585, 44297, 44646, 1541, 48200, 6734, 17665, 26460, 28455, 1369, 240, 51675], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 122, "seek": 21098, "start": 237.17999999999998, "end": 239.07999999999998, "text": "他们是一个什么样的凑谱结构", "tokens": [51675, 47911, 1541, 20182, 10440, 14496, 1546, 6336, 239, 8897, 109, 45641, 7360, 226, 51770], "temperature": 0, "avg_logprob": -0.12862664562160686, "compression_ratio": 1.364516129032258, "no_speech_prob": 1.2988240691291786e-11}, {"id": 123, "seek": 23908, "start": 239.08, "end": 241.64000000000001, "text": "以及他们这个彼此之间", "tokens": [50365, 40282, 47911, 15368, 7391, 120, 17947, 9574, 31685, 50493], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 124, "seek": 23908, "start": 241.64000000000001, "end": 242.68, "text": "有哪个是PM", "tokens": [50493, 2412, 17028, 7549, 1541, 18819, 50545], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 125, "seek": 23908, "start": 242.68, "end": 244.36, "text": "哪个是负责全局的", "tokens": [50545, 17028, 7549, 1541, 18464, 253, 18464, 96, 11319, 34703, 1546, 50629], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 126, "seek": 23908, "start": 244.36, "end": 245.48000000000002, "text": "哪些是负责执行", "tokens": [50629, 17028, 13824, 1541, 18464, 253, 18464, 96, 3416, 100, 8082, 50685], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 127, "seek": 23908, "start": 245.48000000000002, "end": 246.44000000000003, "text": "哪些是负责验证的", "tokens": [50685, 17028, 13824, 1541, 18464, 253, 18464, 96, 49657, 234, 5233, 223, 1546, 50733], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 128, "seek": 23908, "start": 246.44000000000003, "end": 248.04000000000002, "text": "就是也是要有一系列", "tokens": [50733, 5620, 22021, 4275, 32241, 25368, 43338, 50813], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 129, "seek": 23908, "start": 248.04000000000002, "end": 249.60000000000002, "text": "非常明确的身份规划", "tokens": [50813, 14392, 11100, 38114, 106, 1546, 19847, 36266, 6758, 226, 2437, 240, 50891], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 130, "seek": 23908, "start": 249.60000000000002, "end": 252.56, "text": "就特别像他们强化训练出来了", "tokens": [50891, 3111, 17682, 18453, 12760, 47911, 5702, 118, 23756, 7422, 255, 10115, 225, 7781, 34912, 51039], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 131, "seek": 23908, "start": 252.56, "end": 254.36, "text": "一个大概7B的一个模型", "tokens": [51039, 20182, 32044, 22, 33, 1546, 20182, 41908, 39823, 51129], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 132, "seek": 23908, "start": 254.36, "end": 257.66, "text": "去调动不同的模型来去解决问题", "tokens": [51129, 6734, 8897, 225, 34961, 47123, 1546, 41908, 39823, 6912, 6734, 17278, 5676, 111, 34069, 51294], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 133, "seek": 23908, "start": 257.66, "end": 260.40000000000003, "text": "然后这个就特别像一个职业经理人", "tokens": [51294, 26636, 15368, 3111, 17682, 18453, 12760, 20182, 8171, 234, 940, 248, 30276, 13876, 4035, 51431], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 134, "seek": 23908, "start": 260.40000000000003, "end": 262.3, "text": "他有非常强的管理能力", "tokens": [51431, 5000, 2412, 14392, 5702, 118, 1546, 23131, 13876, 8225, 13486, 51526], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 135, "seek": 23908, "start": 262.3, "end": 265.42, "text": "相当于模型在通过强化学习的训练之后", "tokens": [51526, 15106, 16233, 37732, 41908, 39823, 3581, 19550, 16866, 5702, 118, 23756, 29618, 2930, 254, 1546, 7422, 255, 10115, 225, 9574, 13547, 51682], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 136, "seek": 23908, "start": 265.42, "end": 266.46000000000004, "text": "我给模型激励", "tokens": [51682, 1654, 23197, 41908, 39823, 26373, 222, 5087, 109, 51734], "temperature": 0, "avg_logprob": -0.10561273901502072, "compression_ratio": 1.4271186440677965, "no_speech_prob": 1.3494606473929416e-11}, {"id": 137, "seek": 26646, "start": 266.46, "end": 269.9, "text": "如果你要调度不同的模型产生一些比较好的结果的话", "tokens": [50365, 13119, 32085, 8897, 225, 13127, 47123, 1546, 41908, 39823, 1369, 100, 8244, 38515, 11706, 9830, 225, 20715, 45641, 9319, 44575, 50537], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 138, "seek": 26646, "start": 269.9, "end": 271.29999999999995, "text": "那我就给你激励", "tokens": [50537, 4184, 22020, 23197, 2166, 26373, 222, 5087, 109, 50607], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 139, "seek": 26646, "start": 271.29999999999995, "end": 274.62, "text": "所以这个是非常有意思的一个方向", "tokens": [50607, 7239, 15368, 1541, 14392, 2412, 16697, 1546, 20182, 9249, 24282, 50773], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 140, "seek": 26646, "start": 274.62, "end": 278.41999999999996, "text": "其实他们也是在这一次的论文中明确了", "tokens": [50773, 41646, 47911, 22021, 3581, 5562, 27505, 1546, 7422, 118, 17174, 5975, 11100, 38114, 106, 2289, 50963], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 141, "seek": 26646, "start": 278.41999999999996, "end": 279.78, "text": "通过强化学习", "tokens": [50963, 19550, 16866, 5702, 118, 23756, 29618, 2930, 254, 51031], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 142, "seek": 26646, "start": 279.78, "end": 283.64, "text": "确实是可以把模型的调度能力提升上去的", "tokens": [51031, 38114, 106, 24726, 1541, 6723, 16075, 41908, 39823, 1546, 8897, 225, 13127, 8225, 13486, 20949, 41670, 5708, 6734, 1546, 51224], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 143, "seek": 26646, "start": 283.64, "end": 286.09999999999997, "text": "甚至是涌现出了一些超出以往", "tokens": [51224, 17556, 20844, 1541, 162, 20353, 20204, 7781, 2289, 38515, 19869, 7781, 3588, 29510, 51347], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 144, "seek": 26646, "start": 286.09999999999997, "end": 288.38, "text": "单一模型执行的能力", "tokens": [51347, 47446, 2257, 41908, 39823, 3416, 100, 8082, 1546, 8225, 13486, 51461], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 145, "seek": 26646, "start": 288.38, "end": 291.76, "text": "然后其实我们都知道像这样的一些能力", "tokens": [51461, 26636, 41646, 15003, 7182, 7758, 12760, 21209, 1546, 38515, 8225, 13486, 51630], "temperature": 0, "avg_logprob": -0.08177957250111138, "compression_ratio": 1.3537906137184115, "no_speech_prob": 1.548119271665982e-11}, {"id": 146, "seek": 29176, "start": 291.76, "end": 294.7, "text": "我们现在在Harness Engineering里面就是在做嘛", "tokens": [50365, 15003, 25040, 3581, 39, 16937, 16215, 15759, 8833, 5620, 3581, 10907, 20722, 50512], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 147, "seek": 29176, "start": 294.7, "end": 295.8, "text": "我们也在做编排", "tokens": [50512, 15003, 6404, 3581, 10907, 38109, 244, 44647, 50567], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 148, "seek": 29176, "start": 295.8, "end": 297.48, "text": "比如说在Workbody里面", "tokens": [50567, 36757, 8090, 3581, 28846, 1067, 15759, 8833, 50651], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 149, "seek": 29176, "start": 297.48, "end": 301.34, "text": "我们可以有这个股票交易的这个专家", "tokens": [50651, 15003, 6723, 2412, 15368, 14356, 94, 41925, 28455, 31962, 1546, 15368, 940, 241, 5155, 50844], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 150, "seek": 29176, "start": 301.34, "end": 301.62, "text": "对吧", "tokens": [50844, 8713, 6062, 50858], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 151, "seek": 29176, "start": 301.62, "end": 303.2, "text": "他其实就是在用Multi Agent", "tokens": [50858, 5000, 41646, 5620, 3581, 9254, 44, 723, 72, 27174, 50937], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 152, "seek": 29176, "start": 303.2, "end": 306.7, "text": "来去实现一些更好的一些判断", "tokens": [50937, 6912, 6734, 24726, 20204, 38515, 19002, 20715, 38515, 2437, 97, 4307, 255, 51112], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 153, "seek": 29176, "start": 306.7, "end": 307.88, "text": "比如说有人唱空", "tokens": [51112, 36757, 8090, 45820, 39861, 23322, 51171], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 154, "seek": 29176, "start": 307.88, "end": 309.02, "text": "有人唱多", "tokens": [51171, 45820, 39861, 6392, 51228], "temperature": 0, "avg_logprob": -0.17642870054140194, "compression_ratio": 1.1711711711711712, "no_speech_prob": 1.3819751766563915e-11}, {"id": 155, "seek": 30902, "start": 309.02, "end": 311.35999999999996, "text": "有人对这个基本面做分析", "tokens": [50365, 45820, 8713, 15368, 37946, 8833, 10907, 6627, 7360, 238, 50482], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 156, "seek": 30902, "start": 311.35999999999996, "end": 312.34, "text": "有人对鱼形做分析", "tokens": [50482, 45820, 8713, 165, 109, 120, 30900, 10907, 6627, 7360, 238, 50531], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 157, "seek": 30902, "start": 312.34, "end": 313.97999999999996, "text": "就是他不同的模型", "tokens": [50531, 5620, 5000, 47123, 1546, 41908, 39823, 50613], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 158, "seek": 30902, "start": 313.97999999999996, "end": 315.7, "text": "他负责的方向是不一样的", "tokens": [50613, 5000, 18464, 253, 18464, 96, 1546, 9249, 24282, 1541, 1960, 2257, 14496, 1546, 50699], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 159, "seek": 30902, "start": 315.7, "end": 320.14, "text": "但是他们是用了一个相当于是训练一个模型", "tokens": [50699, 11189, 47911, 1541, 9254, 2289, 20182, 15106, 16233, 37732, 1541, 7422, 255, 10115, 225, 20182, 41908, 39823, 50921], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 160, "seek": 30902, "start": 320.14, "end": 322.5, "text": "去拥有这个调度能力的这种方式", "tokens": [50921, 6734, 6852, 98, 2412, 15368, 8897, 225, 13127, 8225, 13486, 1546, 5562, 39810, 9249, 27584, 51039], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 161, "seek": 30902, "start": 322.5, "end": 326.15999999999997, "text": "相当于让Harness的这个能力在模型中进行了沉淀", "tokens": [51039, 15106, 16233, 37732, 33650, 39, 16937, 1546, 15368, 8225, 13486, 3581, 41908, 39823, 5975, 36700, 46606, 3308, 231, 14176, 222, 51222], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 162, "seek": 30902, "start": 326.15999999999997, "end": 330.09999999999997, "text": "而且他也不光是训练的这些任务他能够做", "tokens": [51222, 22942, 5000, 6404, 1960, 20690, 1541, 7422, 255, 10115, 225, 1546, 5562, 13824, 26443, 5087, 94, 5000, 8225, 1787, 253, 10907, 51419], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 163, "seek": 30902, "start": 330.09999999999997, "end": 332.38, "text": "他还泛化出来了一些其他的能力", "tokens": [51419, 5000, 14852, 6847, 249, 23756, 7781, 34912, 38515, 9572, 31309, 8225, 13486, 51533], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 164, "seek": 30902, "start": 332.38, "end": 336.53999999999996, "text": "就是他可以在没见过的任务上也产出同样很好的一个水平", "tokens": [51533, 5620, 5000, 6723, 3581, 10062, 23813, 16866, 1546, 26443, 5087, 94, 5708, 6404, 1369, 100, 7781, 13089, 14496, 4563, 20715, 20182, 15590, 16716, 51741], "temperature": 0, "avg_logprob": -0.07556557655334473, "compression_ratio": 1.4735099337748345, "no_speech_prob": 1.4477486917630067e-11}, {"id": 165, "seek": 33654, "start": 336.54, "end": 339.08000000000004, "text": "所以他是一个非常有意思的一个结构", "tokens": [50365, 7239, 47046, 20182, 14392, 2412, 16697, 1546, 20182, 45641, 7360, 226, 50492], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 166, "seek": 33654, "start": 339.08000000000004, "end": 342.04, "text": "我们从他那个官网上的模型结构图上", "tokens": [50492, 15003, 35630, 5000, 43083, 31929, 16469, 239, 5708, 1546, 41908, 39823, 45641, 7360, 226, 3919, 122, 5708, 50640], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 167, "seek": 33654, "start": 342.04, "end": 344.72, "text": "其实可以看到他就是一个复古这个模型", "tokens": [50640, 41646, 6723, 18032, 5000, 5620, 20182, 1787, 235, 46335, 15368, 41908, 39823, 50774], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 168, "seek": 33654, "start": 344.72, "end": 347.52000000000004, "text": "他可以access就可以接触到", "tokens": [50774, 5000, 6723, 326, 780, 36781, 14468, 6758, 99, 4511, 50914], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 169, "seek": 33654, "start": 347.52000000000004, "end": 348.66, "text": "有的是开源模型", "tokens": [50914, 2412, 24620, 18937, 47402, 41908, 39823, 50971], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 170, "seek": 33654, "start": 348.66, "end": 349.58000000000004, "text": "有的是必源模型", "tokens": [50971, 2412, 24620, 28531, 47402, 41908, 39823, 51017], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 171, "seek": 33654, "start": 349.58000000000004, "end": 351.8, "text": "同样他也可以接触到他自己", "tokens": [51017, 13089, 14496, 5000, 47935, 14468, 6758, 99, 4511, 5000, 17645, 51128], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 172, "seek": 33654, "start": 351.8, "end": 354.44, "text": "他是一个地规的一个架构", "tokens": [51128, 47046, 20182, 10928, 6758, 226, 1546, 20182, 7360, 114, 7360, 226, 51260], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 173, "seek": 33654, "start": 354.44, "end": 358.08000000000004, "text": "然后所以这条方法他们评估下来", "tokens": [51260, 26636, 7239, 5562, 48837, 9249, 11148, 47911, 5233, 226, 7384, 108, 4438, 6912, 51442], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 174, "seek": 33654, "start": 358.08000000000004, "end": 360.78000000000003, "text": "发现不光是在这些场景上", "tokens": [51442, 28926, 20204, 1960, 20690, 1541, 3581, 5562, 13824, 50255, 50218, 5708, 51577], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 175, "seek": 33654, "start": 360.78000000000003, "end": 363.06, "text": "trading比如说做交易的评测", "tokens": [51577, 43831, 278, 36757, 8090, 10907, 28455, 31962, 1546, 5233, 226, 11038, 233, 51691], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 176, "seek": 33654, "start": 363.06, "end": 365.34000000000003, "text": "然后看一段时间之后", "tokens": [51691, 26636, 4200, 2257, 28427, 44848, 9574, 13547, 51805], "temperature": 0, "avg_logprob": -0.0979614636755937, "compression_ratio": 1.4474576271186441, "no_speech_prob": 1.4892224606266602e-11}, {"id": 177, "seek": 36534, "start": 365.34, "end": 369.09999999999997, "text": "哪一个交易模型的这个带来的交易收益更高", "tokens": [50365, 17028, 20182, 28455, 31962, 41908, 39823, 1546, 15368, 4845, 99, 6912, 1546, 28455, 31962, 18681, 5419, 232, 19002, 12979, 50553], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 178, "seek": 36534, "start": 369.09999999999997, "end": 369.96, "text": "对吧", "tokens": [50553, 8713, 6062, 50596], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 179, "seek": 36534, "start": 369.96, "end": 372.64, "text": "或者是让他解一个谜题", "tokens": [50596, 31148, 1541, 33650, 5000, 17278, 20182, 8897, 250, 30716, 50730], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 180, "seek": 36534, "start": 372.64, "end": 373.71999999999997, "text": "做一个魔方", "tokens": [50730, 10907, 20182, 39485, 9249, 50784], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 181, "seek": 36534, "start": 373.71999999999997, "end": 375.34, "text": "然后恢复一个魔方", "tokens": [50784, 26636, 11845, 95, 1787, 235, 20182, 39485, 9249, 50865], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 182, "seek": 36534, "start": 375.34, "end": 377.32, "text": "哪个效果会更快", "tokens": [50865, 17028, 7549, 43076, 9319, 12949, 19002, 10251, 50964], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 183, "seek": 36534, "start": 377.32, "end": 378.52, "text": "哪一个步数更少", "tokens": [50964, 17028, 20182, 31429, 33188, 19002, 15686, 51024], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 184, "seek": 36534, "start": 378.52, "end": 380.02, "text": "相当于一系列的测试中", "tokens": [51024, 15106, 16233, 37732, 2257, 25368, 43338, 1546, 11038, 233, 5233, 243, 5975, 51099], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 185, "seek": 36534, "start": 380.02, "end": 383.52, "text": "发现这种方式确实能够起到一个很好的效果", "tokens": [51099, 28926, 20204, 5562, 39810, 9249, 27584, 38114, 106, 24726, 8225, 1787, 253, 9147, 4511, 20182, 4563, 20715, 43076, 9319, 51274], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 186, "seek": 36534, "start": 383.52, "end": 385.2, "text": "那这个意味着什么呢", "tokens": [51274, 4184, 15368, 9042, 17268, 20708, 10440, 6240, 51358], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 187, "seek": 36534, "start": 385.2, "end": 389.2, "text": "我觉得就是很容易类比和联想到我们人类社会上", "tokens": [51358, 45681, 5620, 4563, 49212, 22113, 119, 11706, 12565, 8171, 242, 7093, 4511, 15003, 4035, 22113, 119, 27658, 12949, 5708, 51558], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 188, "seek": 36534, "start": 389.2, "end": 392.14, "text": "就是我们每个人其实都有自己不同的能力", "tokens": [51558, 5620, 15003, 23664, 7549, 4035, 41646, 48121, 17645, 47123, 1546, 8225, 13486, 51705], "temperature": 0, "avg_logprob": -0.2056255340576172, "compression_ratio": 1.3775510204081634, "no_speech_prob": 1.7141907684981028e-11}, {"id": 189, "seek": 39214, "start": 392.14, "end": 395.9, "text": "有的人擅长写代码 有的人擅长执行", "tokens": [50365, 2412, 29979, 13167, 227, 32271, 5676, 247, 19105, 23230, 223, 21461, 29979, 13167, 227, 32271, 3416, 100, 8082, 50553], "temperature": 0, "avg_logprob": -0.15047456056643754, "compression_ratio": 1.3290322580645162, "no_speech_prob": 1.7872821278519524e-11}, {"id": 190, "seek": 39214, "start": 395.9, "end": 400.52, "text": "有的人擅长写文章 那不同的模型也像我们人一样有不同的能力", "tokens": [50553, 2412, 29979, 13167, 227, 32271, 5676, 247, 17174, 11957, 254, 18625, 47123, 1546, 41908, 39823, 6404, 12760, 15003, 4035, 2257, 14496, 2412, 47123, 1546, 8225, 13486, 50784], "temperature": 0, "avg_logprob": -0.15047456056643754, "compression_ratio": 1.3290322580645162, "no_speech_prob": 1.7872821278519524e-11}, {"id": 191, "seek": 39214, "start": 400.52, "end": 405.9, "text": "那通过这种管理者就是有一个模型专门拥有了这个管理能力", "tokens": [50784, 4184, 19550, 16866, 5562, 39810, 23131, 13876, 12444, 5620, 2412, 20182, 41908, 39823, 940, 241, 8259, 101, 6852, 98, 2412, 2289, 15368, 23131, 13876, 8225, 13486, 51053], "temperature": 0, "avg_logprob": -0.15047456056643754, "compression_ratio": 1.3290322580645162, "no_speech_prob": 1.7872821278519524e-11}, {"id": 192, "seek": 40590, "start": 405.9, "end": 409.15999999999997, "text": "我去协调这些模型能够产生一个非常好的效果", "tokens": [50365, 1654, 6734, 5322, 237, 8897, 225, 5562, 13824, 41908, 39823, 8225, 1787, 253, 1369, 100, 8244, 20182, 14392, 20715, 43076, 9319, 50528], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 193, "seek": 40590, "start": 409.15999999999997, "end": 411.7, "text": "对 然后这个是就是很有意思了", "tokens": [50528, 8713, 220, 26636, 15368, 1541, 5620, 49295, 16697, 2289, 50655], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 194, "seek": 40590, "start": 411.7, "end": 413.44, "text": "就是因为我是学城市规划的", "tokens": [50655, 5620, 34627, 15914, 29618, 45277, 27261, 6758, 226, 2437, 240, 1546, 50742], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 195, "seek": 40590, "start": 413.44, "end": 417.4, "text": "然后我对这种组织这个叫集体智慧", "tokens": [50742, 26636, 1654, 8713, 5562, 39810, 10115, 226, 10115, 229, 15368, 19855, 26020, 29485, 5094, 118, 12358, 100, 50940], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 196, "seek": 40590, "start": 417.4, "end": 420.12, "text": "集体智能涌现就非常感兴趣", "tokens": [50940, 26020, 29485, 5094, 118, 8225, 162, 20353, 20204, 3111, 14392, 9709, 2347, 112, 39835, 51076], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 197, "seek": 40590, "start": 420.12, "end": 424.2, "text": "而且它这个方向也正好契合了我们前一段时间写的", "tokens": [51076, 22942, 11284, 15368, 9249, 24282, 6404, 15789, 2131, 1881, 239, 14245, 2289, 15003, 8945, 2257, 28427, 44848, 5676, 247, 1546, 51280], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 198, "seek": 40590, "start": 424.2, "end": 426.4, "text": "就是从超级个体到超级团队", "tokens": [51280, 5620, 35630, 19869, 16853, 100, 7549, 29485, 4511, 19869, 16853, 100, 3919, 95, 10034, 253, 51390], "temperature": 0, "avg_logprob": -0.0791850361397596, "compression_ratio": 1.3073770491803278, "no_speech_prob": 1.508306153585881e-11}, {"id": 199, "seek": 42640, "start": 426.4, "end": 429.59999999999997, "text": "为什么有了一个一个的天才模型之后", "tokens": [50365, 31006, 2412, 2289, 20182, 20182, 1546, 6135, 18888, 41908, 39823, 9574, 13547, 50525], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 200, "seek": 42640, "start": 429.59999999999997, "end": 431.4, "text": "它依然需要团队 对吧", "tokens": [50525, 11284, 3254, 251, 5823, 35748, 3919, 95, 10034, 253, 30275, 6062, 50615], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 201, "seek": 42640, "start": 431.4, "end": 433.85999999999996, "text": "有了这个要数据中心中的天才之国", "tokens": [50615, 2412, 2289, 15368, 4275, 33188, 26075, 106, 5975, 7945, 5975, 1546, 6135, 18888, 9574, 16086, 50738], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 202, "seek": 42640, "start": 433.85999999999996, "end": 436.7, "text": "那为什么还需要这个不同模型之间的协作", "tokens": [50738, 4184, 31006, 14852, 35748, 15368, 47123, 41908, 39823, 9574, 31685, 1546, 5322, 237, 11914, 50880], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 203, "seek": 42640, "start": 436.7, "end": 439.53999999999996, "text": "就是因为协作还是可以去拉高上线的", "tokens": [50880, 5620, 34627, 5322, 237, 11914, 45726, 6723, 6734, 29717, 12979, 5708, 16853, 123, 1546, 51022], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 204, "seek": 42640, "start": 439.53999999999996, "end": 442.73999999999995, "text": "而且这次的这个论文也是发现了", "tokens": [51022, 22942, 5562, 9487, 1546, 15368, 7422, 118, 17174, 22021, 28926, 20204, 2289, 51182], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 205, "seek": 42640, "start": 442.73999999999995, "end": 444.76, "text": "在强化学习的这个训练方法之下", "tokens": [51182, 3581, 5702, 118, 23756, 29618, 2930, 254, 1546, 15368, 7422, 255, 10115, 225, 9249, 11148, 9574, 4438, 51283], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 206, "seek": 42640, "start": 444.76, "end": 447.09999999999997, "text": "这种协调能力也可以被训练出来", "tokens": [51283, 5562, 39810, 5322, 237, 8897, 225, 8225, 13486, 47935, 23238, 7422, 255, 10115, 225, 44561, 51400], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 207, "seek": 42640, "start": 447.09999999999997, "end": 448.56, "text": "这就带来了两个问题", "tokens": [51400, 5562, 3111, 4845, 99, 34912, 36257, 7549, 34069, 51473], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 208, "seek": 42640, "start": 448.56, "end": 452.02, "text": "一个呢就是那harness还重不重要", "tokens": [51473, 20182, 6240, 5620, 4184, 71, 16937, 14852, 12624, 1960, 24928, 51646], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 209, "seek": 42640, "start": 452.02, "end": 454.15999999999997, "text": "对吧 比如说我们有未来模型", "tokens": [51646, 8713, 6062, 220, 36757, 8090, 15003, 2412, 29954, 6912, 41908, 39823, 51753], "temperature": 0, "avg_logprob": -0.09370656393788343, "compression_ratio": 1.4245283018867925, "no_speech_prob": 1.1078428105437688e-11}, {"id": 210, "seek": 45416, "start": 454.16, "end": 456.22, "text": "可以吸收到这些模型的编排之后", "tokens": [50365, 6723, 46431, 18681, 4511, 5562, 13824, 41908, 39823, 1546, 38109, 244, 44647, 9574, 13547, 50468], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 211, "seek": 45416, "start": 456.22, "end": 457.86, "text": "那我们还要不要有harness", "tokens": [50468, 4184, 15003, 14852, 4275, 11962, 2412, 71, 16937, 50550], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 212, "seek": 45416, "start": 457.86, "end": 460.64000000000004, "text": "我的观点是它两个都同样重要", "tokens": [50550, 14200, 42350, 12579, 1541, 11284, 36257, 7549, 7182, 13089, 14496, 24928, 50689], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 213, "seek": 45416, "start": 460.64000000000004, "end": 463.90000000000003, "text": "就像你有大组织也有出放公司一样", "tokens": [50689, 3111, 12760, 43320, 3582, 10115, 226, 10115, 229, 6404, 2412, 7781, 12744, 13545, 32981, 2257, 14496, 50852], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 214, "seek": 45416, "start": 463.90000000000003, "end": 465.8, "text": "就是还是有非常非常多的场景", "tokens": [50852, 5620, 45726, 2412, 14392, 14392, 6392, 1546, 50255, 50218, 50947], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 215, "seek": 45416, "start": 465.8, "end": 467.72, "text": "需要去灵活的探索", "tokens": [50947, 35748, 6734, 13290, 113, 25956, 1546, 6900, 95, 7732, 95, 51043], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 216, "seek": 45416, "start": 467.72, "end": 470.40000000000003, "text": "就可能还没有被吸收到模型的能力里面", "tokens": [51043, 3111, 16657, 14852, 17944, 23238, 46431, 18681, 4511, 41908, 39823, 1546, 8225, 13486, 15759, 8833, 51177], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 217, "seek": 45416, "start": 470.40000000000003, "end": 473.22, "text": "所以我认为未来的每一个软件公司", "tokens": [51177, 7239, 1654, 7422, 97, 13992, 29954, 6912, 1546, 23664, 20182, 17819, 107, 20485, 13545, 32981, 51318], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 218, "seek": 45416, "start": 473.22, "end": 475.88, "text": "在未来可能都会变成一个模型公司", "tokens": [51318, 3581, 29954, 6912, 16657, 7182, 12949, 2129, 246, 11336, 20182, 41908, 39823, 13545, 32981, 51451], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 219, "seek": 45416, "start": 475.88, "end": 478.96000000000004, "text": "这个模型公司就是专门去为特定的场景", "tokens": [51451, 15368, 41908, 39823, 13545, 32981, 5620, 940, 241, 8259, 101, 6734, 13992, 17682, 12088, 1546, 50255, 50218, 51605], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 220, "seek": 45416, "start": 478.96000000000004, "end": 480.18, "text": "特定的数据", "tokens": [51605, 17682, 12088, 1546, 33188, 26075, 106, 51666], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 221, "seek": 45416, "start": 480.18, "end": 482.68, "text": "然后特定的条件去做优化的", "tokens": [51666, 26636, 17682, 12088, 1546, 48837, 20485, 6734, 10907, 7384, 246, 23756, 1546, 51791], "temperature": 0, "avg_logprob": -0.07431257942508411, "compression_ratio": 1.4605678233438486, "no_speech_prob": 1.2712187205665693e-11}, {"id": 222, "seek": 48268, "start": 482.68, "end": 485.42, "text": "如果你能够在一个特定的场景下", "tokens": [50365, 45669, 8225, 1787, 253, 3581, 20182, 17682, 12088, 1546, 50255, 50218, 4438, 50502], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 223, "seek": 48268, "start": 485.42, "end": 488.78000000000003, "text": "去调用非常多的模型去解决场景的问题", "tokens": [50502, 6734, 8897, 225, 9254, 14392, 6392, 1546, 41908, 39823, 6734, 17278, 5676, 111, 50255, 50218, 1546, 34069, 50670], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 224, "seek": 48268, "start": 488.78000000000003, "end": 492.3, "text": "能够在效率成本还有速度之间", "tokens": [50670, 8225, 1787, 253, 3581, 43076, 44866, 11336, 8802, 35091, 31217, 13127, 9574, 31685, 50846], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 225, "seek": 48268, "start": 492.3, "end": 494.18, "text": "取得一个很好的平衡的话", "tokens": [50846, 29436, 5916, 20182, 4563, 20715, 16716, 9890, 94, 44575, 50940], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 226, "seek": 48268, "start": 494.18, "end": 496.34000000000003, "text": "那你就是能够贡献价值的", "tokens": [50940, 4184, 2166, 5620, 8225, 1787, 253, 18464, 94, 25266, 106, 1550, 115, 40242, 1546, 51048], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 227, "seek": 48268, "start": 496.34000000000003, "end": 498.96000000000004, "text": "未来比如说像富库这个公司", "tokens": [51048, 29954, 6912, 36757, 8090, 12760, 47564, 6346, 241, 15368, 13545, 32981, 51179], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 228, "seek": 48268, "start": 498.96000000000004, "end": 501.94, "text": "它可以提供一套通用的这种conductor", "tokens": [51179, 11284, 6723, 20949, 3254, 249, 2257, 1881, 245, 19550, 9254, 1546, 5562, 39810, 18882, 84, 1672, 51328], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 229, "seek": 48268, "start": 501.94, "end": 503.2, "text": "就是模型编排能力", "tokens": [51328, 5620, 41908, 39823, 38109, 244, 44647, 8225, 13486, 51391], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 230, "seek": 48268, "start": 503.2, "end": 504.72, "text": "但是每一个软件公司", "tokens": [51391, 11189, 23664, 20182, 17819, 107, 20485, 13545, 32981, 51467], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 231, "seek": 48268, "start": 504.72, "end": 506.32, "text": "因为你对场景数据最了解", "tokens": [51467, 34627, 2166, 8713, 50255, 50218, 33188, 26075, 106, 8661, 2289, 17278, 51547], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 232, "seek": 48268, "start": 506.32, "end": 508.46000000000004, "text": "你对这个模型的评测最了解", "tokens": [51547, 2166, 8713, 15368, 41908, 39823, 1546, 5233, 226, 11038, 233, 8661, 2289, 17278, 51654], "temperature": 0, "avg_logprob": -0.09746584525475135, "compression_ratio": 1.3664383561643836, "no_speech_prob": 1.512802556835613e-11}, {"id": 233, "seek": 50846, "start": 508.46, "end": 511.35999999999996, "text": "那你是可以在这个场景中最有发言权的", "tokens": [50365, 4184, 32526, 6723, 3581, 15368, 50255, 50218, 5975, 8661, 2412, 28926, 12009, 4422, 225, 1546, 50510], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 234, "seek": 50846, "start": 511.35999999999996, "end": 513.02, "text": "所以我觉得这个肯定是一个", "tokens": [50510, 7239, 45681, 15368, 14356, 107, 12088, 1541, 20182, 50593], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 235, "seek": 50846, "start": 513.02, "end": 515.16, "text": "就是harness和这种模型端", "tokens": [50593, 5620, 71, 16937, 12565, 5562, 39810, 41908, 39823, 11957, 107, 50700], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 236, "seek": 50846, "start": 515.16, "end": 516.64, "text": "它都会同时存在", "tokens": [50700, 11284, 7182, 12949, 13089, 15729, 39781, 3581, 50774], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 237, "seek": 50846, "start": 516.64, "end": 517.3199999999999, "text": "还有一个问题", "tokens": [50774, 35091, 20182, 34069, 50808], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 238, "seek": 50846, "start": 517.3199999999999, "end": 519.64, "text": "那我们既然说集体智慧这么重要了", "tokens": [50808, 4184, 15003, 4479, 95, 5823, 8090, 26020, 29485, 5094, 118, 12358, 100, 31889, 24928, 2289, 50924], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 239, "seek": 50846, "start": 519.64, "end": 522.48, "text": "那单个模型的智能还重不重要", "tokens": [50924, 4184, 47446, 7549, 41908, 39823, 1546, 5094, 118, 8225, 14852, 12624, 1960, 24928, 51066], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 240, "seek": 50846, "start": 522.48, "end": 523.78, "text": "我觉得依然是重要的", "tokens": [51066, 45681, 3254, 251, 5823, 1541, 24928, 1546, 51131], "temperature": 0, "avg_logprob": -0.10169420639673869, "compression_ratio": 1.2582159624413145, "no_speech_prob": 1.543923842939332e-11}, {"id": 241, "seek": 52378, "start": 523.78, "end": 527.3199999999999, "text": "因为就是你把一个天才和一堆普通人放在一起", "tokens": [50365, 34627, 5620, 2166, 16075, 20182, 6135, 18888, 12565, 2257, 10726, 228, 29993, 19550, 4035, 12744, 3581, 29567, 50542], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 242, "seek": 52378, "start": 527.3199999999999, "end": 530.1, "text": "发挥的价值和把一堆天才聚集在一起", "tokens": [50542, 28926, 8501, 98, 1546, 1550, 115, 40242, 12565, 16075, 2257, 10726, 228, 6135, 18888, 8171, 248, 26020, 3581, 29567, 50681], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 243, "seek": 52378, "start": 530.1, "end": 531.0799999999999, "text": "发挥的价值", "tokens": [50681, 28926, 8501, 98, 1546, 1550, 115, 40242, 50730], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 244, "seek": 52378, "start": 531.0799999999999, "end": 534.36, "text": "那可是差的不只是一倍两倍三倍", "tokens": [50730, 4184, 23359, 21679, 1546, 1960, 36859, 2257, 35477, 36257, 35477, 10960, 35477, 50894], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 245, "seek": 52378, "start": 534.36, "end": 534.6, "text": "对吧", "tokens": [50894, 8713, 6062, 50906], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 246, "seek": 52378, "start": 534.6, "end": 536.3, "text": "那可能是十倍几十倍的差异", "tokens": [50906, 4184, 16657, 1541, 20145, 35477, 6336, 254, 20145, 35477, 1546, 21679, 5702, 224, 50991], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 247, "seek": 52378, "start": 536.3, "end": 538.9599999999999, "text": "所以像那个阿茂Day他说的", "tokens": [50991, 7239, 12760, 43083, 13594, 27395, 224, 38495, 5000, 8090, 1546, 51124], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 248, "seek": 52378, "start": 538.9599999999999, "end": 541.8199999999999, "text": "未来在这个数据中心中的天才之国", "tokens": [51124, 29954, 6912, 3581, 15368, 33188, 26075, 106, 5975, 7945, 5975, 1546, 6135, 18888, 9574, 16086, 51267], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 249, "seek": 52378, "start": 541.8199999999999, "end": 544.64, "text": "就是当这个数据中心中有很多的模型", "tokens": [51267, 5620, 16233, 15368, 33188, 26075, 106, 5975, 7945, 5975, 2412, 20778, 1546, 41908, 39823, 51408], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 250, "seek": 52378, "start": 544.64, "end": 545.76, "text": "它都是天才的时候", "tokens": [51408, 11284, 22796, 6135, 18888, 49873, 51464], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 251, "seek": 52378, "start": 545.76, "end": 548.1, "text": "那产生的这个效应和效果", "tokens": [51464, 4184, 1369, 100, 8244, 1546, 15368, 43076, 44297, 12565, 43076, 9319, 51581], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 252, "seek": 52378, "start": 548.1, "end": 550.02, "text": "那其实是超乎想象的", "tokens": [51581, 4184, 41646, 1541, 19869, 2930, 236, 7093, 45007, 1546, 51677], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 253, "seek": 52378, "start": 550.02, "end": 552.76, "text": "所以我觉得未来可能这个技术路线", "tokens": [51677, 7239, 45681, 29954, 6912, 16657, 15368, 32502, 1474, 107, 24658, 16853, 123, 51814], "temperature": 0, "avg_logprob": -0.09190729294700184, "compression_ratio": 1.5247524752475248, "no_speech_prob": 1.2660593927404928e-11}, {"id": 254, "seek": 55276, "start": 552.76, "end": 556.28, "text": "不光是在日本的这家公司里会去使用", "tokens": [50365, 1960, 20690, 1541, 3581, 27311, 1546, 5562, 5155, 13545, 32981, 15759, 12949, 6734, 22982, 9254, 50541], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 255, "seek": 55276, "start": 556.28, "end": 558.48, "text": "就是像前沿模型这些公司", "tokens": [50541, 5620, 12760, 8945, 3308, 123, 41908, 39823, 5562, 13824, 13545, 32981, 50651], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 256, "seek": 55276, "start": 558.48, "end": 559.6, "text": "他们也会去使用", "tokens": [50651, 47911, 6404, 12949, 6734, 22982, 9254, 50707], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 257, "seek": 55276, "start": 559.6, "end": 563.38, "text": "他们也会去开始这个组织智能的探索", "tokens": [50707, 47911, 6404, 12949, 6734, 45213, 15368, 10115, 226, 10115, 229, 5094, 118, 8225, 1546, 6900, 95, 7732, 95, 50896], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 258, "seek": 55276, "start": 563.38, "end": 564.92, "text": "其实像OpenAI之前", "tokens": [50896, 41646, 12760, 45569, 48698, 32442, 50973], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 259, "seek": 55276, "start": 564.92, "end": 567.06, "text": "把HCI的实现", "tokens": [50973, 16075, 39, 25240, 1546, 24726, 20204, 51080], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 260, "seek": 55276, "start": 567.06, "end": 568.64, "text": "划分了五个等级", "tokens": [51080, 2437, 240, 6627, 2289, 21001, 7549, 10187, 16853, 100, 51159], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 261, "seek": 55276, "start": 568.64, "end": 571.0, "text": "那最后一等级就是", "tokens": [51159, 4184, 8661, 13547, 2257, 10187, 16853, 100, 5620, 51277], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 262, "seek": 55276, "start": 571.0, "end": 572.46, "text": "Organizer", "tokens": [51277, 21520, 1275, 6545, 51350], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 263, "seek": 55276, "start": 572.46, "end": 574.18, "text": "就是协调者组织者", "tokens": [51350, 5620, 5322, 237, 8897, 225, 12444, 10115, 226, 10115, 229, 12444, 51436], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 264, "seek": 55276, "start": 574.18, "end": 577.12, "text": "那我觉得这一次的这个Takana AI", "tokens": [51436, 4184, 45681, 5562, 27505, 1546, 15368, 51, 514, 2095, 7318, 51583], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 265, "seek": 55276, "start": 577.12, "end": 578.96, "text": "确实是在这个方向上", "tokens": [51583, 38114, 106, 24726, 1541, 3581, 15368, 9249, 24282, 5708, 51675], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 266, "seek": 55276, "start": 578.96, "end": 580.6, "text": "得到了一个很好的突破", "tokens": [51675, 5916, 21381, 20182, 4563, 20715, 40859, 39560, 51757], "temperature": 0, "avg_logprob": -0.13069335728475492, "compression_ratio": 1.2857142857142858, "no_speech_prob": 1.3687488642499801e-11}, {"id": 267, "seek": 58060, "start": 580.6, "end": 583.12, "text": "就是验证了这个方向也是可行的", "tokens": [50365, 5620, 49657, 234, 5233, 223, 2289, 15368, 9249, 24282, 22021, 4429, 8082, 1546, 50491], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 268, "seek": 58060, "start": 583.12, "end": 586.28, "text": "所以我觉得接下来对我们每个人来说", "tokens": [50491, 7239, 45681, 14468, 4438, 6912, 8713, 15003, 23664, 7549, 4035, 6912, 8090, 50649], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 269, "seek": 58060, "start": 586.28, "end": 588.84, "text": "就是你费劲巴拉的去写", "tokens": [50649, 5620, 2166, 18464, 117, 5087, 110, 38325, 29717, 1546, 6734, 5676, 247, 50777], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 270, "seek": 58060, "start": 588.84, "end": 591.5, "text": "Multi Agent的这些约束", "tokens": [50777, 44, 723, 72, 27174, 1546, 5562, 13824, 16853, 99, 44320, 50910], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 271, "seek": 58060, "start": 591.5, "end": 593.76, "text": "其实不如直接拿一个模型来去使用", "tokens": [50910, 41646, 1960, 8238, 43297, 24351, 20182, 41908, 39823, 6912, 6734, 22982, 9254, 51023], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 272, "seek": 58060, "start": 593.76, "end": 596.1800000000001, "text": "这也并不是说我们自己就没那么重要了", "tokens": [51023, 5562, 6404, 3509, 114, 7296, 8090, 15003, 17645, 3111, 10062, 35693, 24928, 2289, 51144], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 273, "seek": 58060, "start": 596.1800000000001, "end": 598.5600000000001, "text": "而是说我们的时间", "tokens": [51144, 11070, 1541, 8090, 15003, 1546, 44848, 51263], "temperature": 0, "avg_logprob": -0.14510393142700195, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.3786615946087544e-11}, {"id": 274, "seek": 59856, "start": 598.56, "end": 600.18, "text": "注意力可以解放在更多", "tokens": [50365, 40794, 13486, 6723, 17278, 12744, 3581, 19002, 6392, 50446], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 275, "seek": 59856, "start": 600.18, "end": 603.18, "text": "我们更擅长的这种端到端的", "tokens": [50446, 15003, 19002, 13167, 227, 32271, 1546, 5562, 39810, 11957, 107, 4511, 11957, 107, 1546, 50596], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 276, "seek": 59856, "start": 603.18, "end": 605.0999999999999, "text": "以及线下的一些事情上去", "tokens": [50596, 40282, 16853, 123, 4438, 1546, 38515, 24675, 5708, 6734, 50692], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 277, "seek": 59856, "start": 605.0999999999999, "end": 605.7199999999999, "text": "对", "tokens": [50692, 8713, 50723], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 278, "seek": 59856, "start": 605.7199999999999, "end": 606.9799999999999, "text": "机会还是存在的", "tokens": [50723, 37960, 12949, 45726, 39781, 3581, 1546, 50786], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 279, "seek": 59856, "start": 606.9799999999999, "end": 608.8, "text": "只是说现在我们有更多的", "tokens": [50786, 36859, 8090, 25040, 15003, 2412, 19002, 6392, 1546, 50877], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 280, "seek": 59856, "start": 608.8, "end": 610.16, "text": "模型公司的研发", "tokens": [50877, 41908, 39823, 13545, 32981, 1546, 23230, 242, 28926, 50945], "temperature": 0, "avg_logprob": -0.146840222027837, "compression_ratio": 1.2686567164179106, "no_speech_prob": 1.51505284012865e-11}, {"id": 281, "seek": 59856, "start": 610.16, "end": 612.3599999999999, "text": "可以把人类的注意力更好的解脱出来", "tokens": [50945, 6723, 16075, 4035, 22113, 119, 1546, 40794, 13486, 19002, 20715, 17278, 27067, 109, 44561, 51055], "temperature": 0, "avg_logprob": 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