
曾和丁磊马化腾同期玩互联网,并与Sprint,亚信一起将互联网引入中国。但天生不喜欢艰苦奋斗和996,选择了浪荡不羁,云游四方的生活,从东南亚到欧洲。基于海外多年的数字化转型的经历带来更开阔的不同视角,讲出与国内科技媒体不同的声音,包括电信,IT,云计算,物联网,区块链,人工智能等领域,带给您不同的视野
| Publishes | Twice weekly | Episodes | 32 | Founded | 7 years ago |
|---|---|---|---|---|---|
| Language | Number of Listeners | Categories | NewsTech NewsTechnology |

Meta收购Manus震动全球AI界!本期尝试剖析Manus从武汉创业到成Meta棋子的历程,揭秘扎克伯格豪掷百亿的战略动机,解读中国大厂缺席的深层原因,对比GenSpark与Kimi潜力,盘点全球华人AI公司,看AI行业格局如何重构。0:00 Meta收购Manus,或改变AI行业格局0:38 Manus创业故事:2018年武汉创立,2021年推智能体,2024年C轮估值12亿美元2:22 Manus核心竞争力:场景化知识图谱、分布式调度、轻量化部署3:39 Meta收购原因:补应用层落地能力... more
这一期还是让AI agent“扣子空间”来生成内容和音频,聊昨晚的WWDC2025,AI intelligent 又爽约了。
这期内容依然是百分百由AI agent“扣子空间”生成的音频。 0:00 - 0:30A 指出大语言模型火但文科生觉原理复杂,B 提议探讨其工作原理。0:30 - 2:00A 介绍文字表示,先说词向量能捕捉语义,后讲 Token 及模型处理文本方式。2:00 - 4:00A 讲字间关联度,提及注意力机制和关联度预测,举例说明作用及特点。4:00 - 6:30B 问推理生成字方式,A 解释循环预测及以“今天天气很”为例的过程。6:30 - 9:00B 问选 token 策略,A 介绍贪婪解码、采样... more
这又是一期从微信公众号文章由AI转换为双人对谈的播客。在AI大规模落地的时代,"可解释性"成了每一个大型组织不得不面对的议题。AI的可解释性问题,从根本上说,是不确定性和责任界限的问题。今天的大语言模型、深度神经网络,往往由数百亿甚至万亿参数堆叠而成,它的每一个"判断"既无法像传统代码那样逐行追踪,也很难像人那样提供一个有逻辑的因果链。于是,风险也随之而来...
硅谷人最近爱玩一个游戏,就是把自己的简历丢给AI大模型,然后AI就输出一个双人对谈的播客音频。这期内容就是把我的简历输入给字节的agent产品,扣子空间,然后AI输出的音频内容。AI太会夸人了,捧得我都要找地缝钻进去了,尽管她说的每一句都是实话,是我的职场真实履历,但那个语气和表达方式太有感染力了
这期是日常AI使用的探索,我将科技播客“十字路口Crossing”的最新一期输入腾讯元宝部署的deep seek平台,输出用的是腾讯元宝模拟我的声音,原汁原味,未改一字。无论是AI幻觉,还是胡说八道,一切由腾讯元宝负责,哈哈哈。以下是deep seek输出的文字版:
嗯,用户让我详细回答播客里的20个问题,每个回答不少于60字。首先,我需要回顾用户提供的播客内容摘要,了解每个问题的具体内容。播客主要讨论了AI Agent的发展、Manus的爆火、技术突破、行业竞争以及未来影响等方面。用户可能希... more









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语迟者说 launched 7 years ago and published 32 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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