Chinese podcasts, AI translated

Aidan

🚨免责声明/Disclaimer🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 This is a podcast feed, where, to help me learn Chinese, I've used AI to transcribe episodes of Chinese podcasts, split them into clips, translate them to English, read the script using TTS models, and edit the translated clips into the original podcast. Are these transcriptions/translations fully accurate? Is this the best way to learn a new language? Are these files flawless and without errors? The answer to all these questions is, resoundingly, NO. I am just doing this for fun. 这是一个播客订阅源,为了帮助我学习中文,我使用人工智能将中文播客节目转录成文字,分割成片段,翻译成英文,用文本转语音(TTS)模型朗读文本,并将翻译后的片段编辑到原播客中。 这些转录/翻译完全准确吗? 这是学习新语言的最佳方法吗? 这些文件完美无瑕吗? 所有这些问题的答案都是否定的。 我做这个只是为了好玩。

  1. Aug 27

    When Robots Learn to Navigate, AI Finally Connects to the Physical World

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 科技乱炖 English: Tech Hodgepodge Original episode name: Chinese: 当机器人学会认路,物理世界才真正接上了 AI English: When Robots Learn to Navigate, AI Finally Connects to the Physical World Original episode description: Chinese: 机器人,可能是过去两年科技行业里最像“一夜之间冒出来”的东西。 世界机器人大会的展馆里,几百家公司同时在做人形机器人、机器狗、机械臂。它们会跑、会跳、会翻跟头,甚至已经开始尝试自己出门买咖啡。 但机器人当然不是突然出现的。 从上世纪五六十年代的工业机器人,到日本对人形机器人的早期探索,再到 ASIMO、波士顿动力,人类已经折腾了几十年。机械结构、电机、控制系统不断进步,但机器人始终有一个很难跨过去的门槛:它可以被控制得越来越好,却很难真正理解自己要干什么。 直到 AI 开始补上这块缺失已久的“大脑”。 强化学习让机器人学会保持平衡、走路和奔跑;大模型和视觉模型则进一步让它开始理解环境、拆解任务、做出判断。机器人发展的重点,也因此从“怎么让它动起来”,逐渐变成了“怎么让它自己决定该怎么动”。 这也是“机器人”开始变成“具身智能”的关键一步。 这期《科技乱炖》,我们来到世界机器人大会 2026 的现场,从机器人的几十年发展史聊起:为什么机器人和人工智能的发展一直彼此交错?为什么过去那些看起来已经很厉害的机器人,很多动作其实仍然是预编程的?大模型究竟改变了机器人什么? 以及,一个更现实的问题: 当机器人终于有了“大脑”,它接下来应该去干什么? 【本期嘉宾及主播】 唐文彬:高德具身业务负责人 朱峰:「津津乐道播客网络」创始人,产品及技术专家。(微博:@zhufengme) 某高老师:「科技乱炖」主播,资深运维专家,互联网和 IT 行业从业20 年,现任某互联网安全公司高管。(微博:@某高老师,Blog:某高老师 – 人间观察) 【制作团队】 后期 / 卷圈 封面 / 姝琦 运营 / 卷圈 监制 / 姝琦 产品统筹 / bobo 【联系我们】 希望大家在听友群和评论区多多反馈收听感受,这对我们来说十分重要。欢迎添加津津乐道小助手微信:dao160301,加入听友群。 【关于「科技乱炖」】 由多名资深从业者主持的科技点评播客,以实际工作中积累的经验为基础,结合实际,把近期科技热点变成犀利、独到、深刻的独家观点。 【关于「津津乐道播客网络」】 在一派纷繁芜杂里,我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板,拒绝空泛浮夸。与专业且有趣的人携手缔造清流,分享经历,传播体验,厘清世界与你的关系。 津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代 收听平台 苹果播客 | 小宇宙App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube | 华为播客 联系我们 津津乐道播客官网 | 公众号:津津乐道播客 | 微信:dao160301 | 微博:津津乐道播客 | 商业合作:hi@dao.fm | 版权声明 | RSS订阅 本节目由「声湃 WavPub」提供内容托管和数据服务支持。 English: # Robots: The Tech Industry's Overnight Sensation Robots might be the most "overnight phenomenon" in the tech industry over the past two years. At the World Robot Conference exhibition hall, hundreds of companies are simultaneously working on humanoid robots, robot dogs, and robotic arms. They can run, jump, do somersaults, and have even started attempting to go out and buy coffee on their own. But of course, robots didn't suddenly appear out of nowhere. From industrial robots in the 1950s and 60s, to Japan's early exploration of humanoid robots, to ASIMO and Boston Dynamics, humanity has been tinkering with this for decades. Mechanical structures, motors, and control systems have continuously improved, but robots have always faced one very difficult hurdle: they can be controlled increasingly well, yet they struggle to truly understand what they're supposed to do. Until AI began filling this long-missing "brain." Reinforcement learning taught robots to maintain balance, walk, and run; large language models and vision models further enabled them to understand their environment, decompose tasks, and make judgments. The focus of robot development has thus gradually shifted from "how to make it move" to "how to make it decide how to move on its own." This is also the crucial step in transforming "robots" into "embodied intelligence." In this episode of "Tech Hodgepodge," we visit the World Robot Conference 2026 and trace back several decades of robot development history: Why have robot and artificial intelligence development always been intertwined? Why do many of those seemingly impressive robots from the past still rely on pre-programmed movements? What exactly has the large language model changed about robots? And a more practical question: Now that robots finally have a "brain," what should they do next? **【Guests and Hosts】** Tang Wenbin: Head of Embodied Business at Amap Zhu Feng: Founder of "Jingjinledao Podcast Network," product and technology expert. (Weibo: @zhufengme) Mr. Gao: Host of "Tech Hodgepodge," senior DevOps expert, 20 years in internet and IT industries, currently a senior executive at an internet security company. (Weibo: @某高老师, Blog: 某高老师 – 人间观察) **【Production Team】** Post-production / Juanquan Cover / Shuqi Operations / Juanquan Supervising Producer / Shuqi Product Coordination / bobo **【Contact Us】** We greatly value your feedback in the listener group and comments section. Feel free to add our assistant on WeChat: dao160301 to join the listener community. **【About "Tech Hodgepodge"】** A tech commentary podcast hosted by multiple industry veterans, drawing on experience accumulated in actual work, combining theory with practice to transform recent tech trends into sharp, unique, and insightful perspectives. **【About "Jingjinledao Podcast Network"】** Amid the chaos and clutter, we exist to delight your ears. Technology, education, culture, food, lifestyle, skills, emotions... serious and thoughtful yet never pedantic, rejecting empty rhetoric. Partnering with professionals who are also entertaining, we create a clear stream, share experiences, transmit insights, and clarify the relationship between the world and you. Jingjinledao | Tech Hodgepodge | Jingjin Youwei | Reporters Off Duty | Busan Busi | Factory Director's Here | Coder's Voice | Boiling Living Room | Parenting Era | And more **【Listening Platforms】** Apple Podcasts | Xiaoyuzhou App | Spotify | Ximalaya | NetEase Cloud Music | QQ Music | WeChat Audio Books | Lizhi FM | CNR Cloud Listening | Tingting FM | Sure竖耳 App | Bilibili | YouTube | Huawei Podcasts **【Contact Information】** Jingjinledao Podcast Official Website | Official Account: Jingjinledao Podcast | WeChat: dao160301 | Weibo: Jingjinledao Podcast | Business Cooperation: hi@dao.fm | Copyright Statement | RSS Subscribe This program is provided with content hosting and data service support by "WavPub." Source links: Original episode page: https://hosting.wavpub.cn/dao-sub/?p=1396 Original podcast home: https://www.xiaoyuzhoufm.com/podcast/5e4243cd418a84a0469573fb https://kejiluandun.podcast.xyz/ https://open.spotify.com/show/6ngiYmenH5wMxeTolaYqwS https://podcasts.apple.com/cn/podcast/id1492740686

  2. Aug 27

    How Far Has Driverless Mobility Come? NVIDIA and Pony.ai Explain Intelligent Driving

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 科技乱炖 English: Tech Hodgepodge Original episode name: Chinese: 没有方向盘的出行,走到哪一步了? NVIDIA × 小马智行一次聊透智能驾驶 English: How Far Has Driverless Mobility Come? NVIDIA and Pony.ai Explain Intelligent Driving Original episode description: Chinese: 第一次坐上一辆没有司机的车,大多数人很难不紧张:它真的会看红绿灯吗?会避让突然冲出来的人吗?前面堵住了,它会像老司机一样判断、变道,还是原地发呆?但也很有意思,很多人只需要五分钟,就会从“它行不行啊”变成“好像真的比我开得稳”。 这期节目,我们从 Robotaxi(无人驾驶出租车)这个具体场景出发,聊透智能驾驶正在发生的关键变化。它不是简单的没有司机这个角色,也不是把今天车上的辅助驾驶功能一路升级到“无人驾驶”。L2、L3、L4 这些听起来像台阶的等级,背后其实是完全不同的责任边界、技术路线、计算平台和商业模式。 这也是为什么,我们会把 NVIDIA 请到这期节目里。很多人对 NVIDIA 的印象还是显卡、GPU、AI 算力,但在智能汽车和自动驾驶领域,它提供的并不只是“芯片”,而是一整套从车端计算、软件开发、模型训练、仿真测试到功能安全的底层平台。换句话说,汽车要真正能“自己跑起来”,需要一套能支撑它持续学习、验证、升级和安全运行的技术底座。 小马智行的张宁老师则从运营和商业化角度,把 Robotaxi 的另一面讲得很透:无人驾驶不是一次次简单的 demo,也不是几辆车在示范区里跑一圈就算完成。真正的 Robotaxi 要管理的是一整支车队,包括调度、充电、清洁、维修、保养、事故处理、乘客体验,以及车辆从投入运营到退役的全生命周期成本。车能开只是第一步,车队能不能规模化、安全地跑,并且算得过账,才是商业化真正的门槛。 您将在本期节目里听到: 00:00 辅助驾驶和自动驾驶到底差在哪 07:36 L2、L3、L4 的关键区别 20:19 软件平台和安全架构支撑自动驾驶落地 28:05 NVIDIA 的三台计算机是什么 36:22 Robotaxi 的商业本质 01:01:33 长尾场景、世界模型和仿真 01:09:30 从座舱 AI 到移动第三空间 本期嘉宾: 卓睿:NVIDIA 中国区软件解决方案高级总监 主要负责的领域包括辅助驾驶、机器人和智慧城市等。工作重点包括带领团队提供人工智能解决方案,帮助客户快速产品落地。 中国科学技术大学本硕毕业,硕士期间的主要研究方向为人工智能算法在机器人领域的应用,在人工智能算法和嵌入式领域有着丰富的经验。 张宁:小马智行副总裁 全面负责小马智行 L4 自动驾驶技术研发,主导推动北京、广州两地 Robotaxi 常态化运营与商业化落地,使公司成为国内首家实现 Robotaxi 常态化运营的企业。 加入小马智行前曾任职谷歌,负责 Gmail、Inbox 等十亿用户级产品的性能优化。拥有清华大学学士学位与加拿大滑铁卢大学硕士学位,为图灵奖得主姚期智院士创办的”清华学堂计算机科学实验班”(姚班)首届毕业生。 【制作团队】 后期 / 卷圈 封面 / 姝琦 运营 / 卷圈 监制 / 姝琦 产品统筹 / bobo 场地支持 / 声湃轩北京录音间 【联系我们】 希望大家在听友群和评论区多多反馈收听感受,这对我们来说十分重要。欢迎添加津津乐道小助手微信:dao160301,加入听友群。 【关于「科技乱炖」】 由多名资深从业者主持的科技点评播客,以实际工作中积累的经验为基础,结合实际,把近期科技热点变成犀利、独到、深刻的独家观点。 【关于「津津乐道播客网络」】 在一派纷繁芜杂里,我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板,拒绝空泛浮夸。与专业且有趣的人携手缔造清流,分享经历,传播体验,厘清世界与你的关系。 津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代 收听平台 苹果播客 | 小宇宙App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube | 华为播客 联系我们 津津乐道播客官网 | 公众号:津津乐道播客 | 微信:dao160301 | 微博:津津乐道播客 | 商业合作:hi@dao.fm | 版权声明 | RSS订阅 本节目由「声湃 WavPub」提供内容托管和数据服务支持。 English: # The Future of Autonomous Driving: From Robotaxi to the Third Space Most people find it hard not to feel nervous the first time they sit in a driverless car: Will it actually recognize traffic lights? Will it avoid people suddenly jumping into the road? If there's traffic ahead, will it judge the situation and change lanes like an experienced driver, or just sit there confused? But here's the interesting part—many people only need five minutes to shift from "can this really work?" to "wow, it's actually smoother than my driving." In this episode, we start from the concrete scenario of Robotaxi (autonomous ride-hailing vehicles) and dive deep into the key changes happening in intelligent driving. It's not simply about removing the driver role, nor is it just upgrading today's in-car driver assistance features all the way to "autonomous driving." Those levels—L2, L3, L4—might sound like a simple ladder, but behind them lie completely different responsibility boundaries, technical approaches, computing platforms, and business models. This is why we invited NVIDIA to this episode. Many people still think of NVIDIA as graphics cards, GPUs, and AI computing power. But in the intelligent vehicle and autonomous driving space, what NVIDIA provides isn't just "chips"—it's an entire platform spanning vehicle-side computing, software development, model training, simulation testing, and functional safety. In other words, for a car to truly "run on its own," it needs a technological foundation that supports continuous learning, validation, upgrades, and safe operation. Zhang Ning from Pony.ai reveals another side of Robotaxi from operational and commercialization perspectives: autonomous driving isn't just a series of simple demos or a few vehicles running a lap in a demonstration zone. Real Robotaxi requires managing an entire fleet, including dispatching, charging, cleaning, maintenance, repairs, accident handling, passenger experience, and the full lifecycle costs from deployment to retirement. The car being able to drive is just the first step. Whether the fleet can scale, operate safely, and make financial sense—that's the real threshold for commercialization. In this episode, you'll hear about: 00:00 The real difference between driver assistance and autonomous driving 07:36 The key distinctions between L2, L3, and L4 20:19 Software platforms and safety architecture supporting autonomous driving deployment 28:05 What are NVIDIA's three computers? 36:22 The business essence of Robotaxi 01:01:33 Long-tail scenarios, world models, and simulation 01:09:30 From cabin AI to the mobile third space **Guests:** **Zhuorui** – Senior Director of Software Solutions, NVIDIA China Responsible for areas including driver assistance, robotics, and smart cities. Leads teams in providing AI solutions to help customers accelerate product deployment. Graduate of University of Science and Technology of China with a master's degree focusing on AI algorithms in robotics, with extensive experience in AI algorithms and embedded systems. **Zhang Ning** – Vice President, Pony.ai Fully responsible for Pony.ai's L4 autonomous driving technology R&D, spearheading the normalization and commercialization of Robotaxi operations in Beijing and Guangzhou, making the company China's first to achieve normalized Robotaxi operations. Previously worked at Google optimizing performance for billion-user-scale products like Gmail and Inbox. Bachelor's degree from Tsinghua University and master's degree from University of Waterloo; first graduate of the "Tsinghua Xuetang Computer Science Experimental Class" founded by Turing Award laureate Yao Qizhi. Source links: Original episode page: https://hosting.wavpub.cn/dao-sub/?p=1380 Original podcast home: https://www.xiaoyuzhoufm.com/podcast/5e4243cd418a84a0469573fb https://kejiluandun.podcast.xyz/ https://open.spotify.com/show/6ngiYmenH5wMxeTolaYqwS https://podcasts.apple.com/cn/podcast/id1492740686

  3. Aug 27

    From QQ Membership to a Doubao Subscription: Why Do Chinese Users Expect Software to Be Free?

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 科技乱炖 English: Tech Hodgepodge Original episode name: Chinese: 从QQ会员到豆包包月,中国人为什么总觉得软件该免费 English: From QQ Membership to a Doubao Subscription: Why Do Chinese Users Expect Software to Be Free? Original episode description: Chinese: 豆包可能收费这件事,最近在中文互联网掀起了一波熟悉的讨论: “AI 不应该免费吗?” “广告不够养活吗?” “一个聊天工具凭什么收钱?” 很多人的第一反应,不是“值不值”,而是“为什么还要付费”。 但如果把时间线拉长一点,你会发现,中国互联网用户对“软件应该免费”这件事,其实是被过去二十年的产品逻辑训练出来的。 从 QQ 会员、视频网站,到网盘、音乐平台,再到今天的 AI 工具,我们习惯了一种模式: 基础功能免费 增值服务收费 广告补贴一切 用户规模比盈利更重要 可 AI 的成本结构,和过去的互联网产品完全不是一回事。 这期节目,我们就从豆包可能收费这件事聊起,看看: 为什么中国用户天然抗拒 AI 订阅制 为什么 ChatGPT 能收 20 美元,而国产 AI 一收费就挨骂 AI 产品到底是在卖“工具”,还是在卖“陪伴” 免费互联网时代,可能真的要结束了 相关链接 * 某高老师的新产品:https://r.daofm.cn/mougaoauv 听友福利 本期将从评论区抽取十个优秀留言,送出某高老师开发的AUV或你的书房折扣码或免费使用机会。 【本期主播】 * 朱峰:「津津乐道播客网络」创始人,产品及技术专家。(微博:@zhufengme) * 某高老师:「科技乱炖」主播,资深运维专家,互联网和 IT 行业从业20 年,现任某互联网安全公司高管。(微博:@某高老师,Blog:某高老师 – 人间观察) * 高春辉:「科技乱炖」主播。“中国互联网站长第一人”,科技、互联网领域的连续创业者。(微博:@高春辉,微信公众号:老高的互联网杂谈) 【制作团队】 后期 / 卷圈 封面 / 姝琦 运营 / 卷圈 监制 / 姝琦 产品统筹 / bobo 场地支持 / 声湃轩北京录音间 【联系我们】 希望大家在听友群和评论区多多反馈收听感受,这对我们来说十分重要。欢迎添加津津乐道小助手微信:dao160301,加入听友群。 【关于「科技乱炖」】 由多名资深从业者主持的科技点评播客,以实际工作中积累的经验为基础,结合实际,把近期科技热点变成犀利、独到、深刻的独家观点。 【关于「津津乐道播客网络」】 在一派纷繁芜杂里,我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板,拒绝空泛浮夸。与专业且有趣的人携手缔造清流,分享经历,传播体验,厘清世界与你的关系。 津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代 收听平台 苹果播客 | 小宇宙App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube 联系我们 津津乐道播客官网 | 公众号:津津乐道播客 | 微信:dao160301 | 微博:津津乐道播客 | 商业合作:hi@dao.fm | 版权声明 | RSS订阅 本节目由「声湃 WavPub」提供内容托管和数据服务支持。 English: # Doubao's Potential Paid Model: Why Chinese Users Resist AI Subscriptions The recent news that Doubao might introduce paid features has sparked a familiar debate across China's internet: "Shouldn't AI be free?" "Isn't advertising enough to sustain it?" "Why should a chat tool charge money?" Many people's first instinct isn't to ask "is it worth it?" but rather "why do we have to pay?" However, if you extend the timeline a bit, you'll discover that Chinese internet users' belief that "software should be free" is actually a product of training by the internet's business logic over the past two decades. From QQ memberships and video platforms, to cloud storage and music services, and now AI tools, we've grown accustomed to a model: - Basic features are free - Premium services are paid - Advertising subsidizes everything - User scale matters more than profitability But AI's cost structure is fundamentally different from past internet products. In this episode, we explore why Doubao's potential paid model matters, examining: - Why Chinese users naturally resist AI subscriptions - Why ChatGPT can charge $20 while domestic AI faces backlash for charging anything - Whether AI products are selling "tools" or "companionship" - Whether the era of free internet is truly coming to an end [The original text continues with host information, production credits, contact details, and platform information] Source links: Original episode page: https://www.xiaoyuzhoufm.com/episode/6a0343189ea0a02f5ed3686a Original podcast home: https://www.xiaoyuzhoufm.com/podcast/5e4243cd418a84a0469573fb https://kejiluandun.podcast.xyz/ https://open.spotify.com/show/6ngiYmenH5wMxeTolaYqwS https://podcasts.apple.com/cn/podcast/id1492740686

  4. Aug 27

    We Put AI Into a Flower Shop—and Learned How Messy Real-World AI Deployment Is

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 科技乱炖 English: Tech Hodgepodge Original episode name: Chinese: 我们把 AI 塞进花店后,才知道AI落地有多脏 English: We Put AI Into a Flower Shop—and Learned How Messy Real-World AI Deployment Is Original episode description: Chinese: 这期节目从一段让人血压升高的外卖平台提示音开始。 “咨询已超过一分钟未回复,为保证您的店铺权益,请尽快回复。”如果你是一个普通用户,这可能只是手机里一闪而过的提示;但如果你真的开了一家花店,它就会变成一种新的闹钟,一天响无数次,逼着你从早六点支棱到晚十点。 过去几年,大家聊 AI 落地,常常聊模型、Agent、工作流、效率革命,听起来都很干净。但当我们真的把 AI 放进一家线下花店,才发现所谓“落地”不是把一个炫酷功能接进业务,而是先被现实按在地上摩擦一遍:花艺师不看电脑、店员不愿盘点、外卖平台不开放数据、客户要看替换后的效果图、老板被一分钟响应考核追着跑。 于是这期节目不是一次关于 AI 的宏大论道,而是一场很具体、很狼狈,也很有价值的实践复盘。我们聊了为什么花店不是一个“降低损耗”就能解决的生鲜生意,为什么 AI 生成花束图片看似简单实际很难,为什么线下行业最难的地方常常不是技术,而是人、平台、流程和那些没人愿意做但每天都要做的脏活。 你会听到一个很反直觉的判断:AI 真正能落地的地方,往往不是老板最先想象出来的地方,而是在你亲自开店、亲自接单、亲自被平台规则折磨之后,才会从一堆琐碎细节里冒出来。 相关链接 * 某高老师的新产品:https://r.daofm.cn/mougaoauv 【本期主播】 * 朱峰:「津津乐道播客网络」创始人,产品及技术专家。(微博:@zhufengme) * 某高老师:「科技乱炖」主播,资深运维专家,互联网和 IT 行业从业20 年,现任某互联网安全公司高管。(微博:@某高老师,Blog:某高老师 – 人间观察) * 高春辉:「科技乱炖」主播。“中国互联网站长第一人”,科技、互联网领域的连续创业者。(微博:@高春辉,微信公众号:老高的互联网杂谈) 【制作团队】 后期 / 卷圈 封面 / 姝琦 运营 / 卷圈 监制 / 姝琦 产品统筹 / bobo 场地支持 / 声湃轩北京录音间 【联系我们】 希望大家在听友群和评论区多多反馈收听感受,这对我们来说十分重要。欢迎添加津津乐道小助手微信:dao160301,加入听友群。 【关于「科技乱炖」】 由多名资深从业者主持的科技点评播客,以实际工作中积累的经验为基础,结合实际,把近期科技热点变成犀利、独到、深刻的独家观点。 【关于「津津乐道播客网络」】 在一派纷繁芜杂里,我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板,拒绝空泛浮夸。与专业且有趣的人携手缔造清流,分享经历,传播体验,厘清世界与你的关系。 津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代 收听平台 苹果播客 | 小宇宙App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube 联系我们 津津乐道播客官网 | 公众号:津津乐道播客 | 微信:dao160301 | 微博:津津乐道播客 | 商业合作:hi@dao.fm | 版权声明 | RSS订阅 本节目由「声湃 WavPub」提供内容托管和数据服务支持。 English: This episode starts with a blood pressure-raising notification sound from a delivery platform. "Your inquiry has not been replied to for over a minute. To protect your shop's interests, please respond as soon as possible." If you're an ordinary user, this might just be a fleeting notification on your phone; but if you've actually opened a flower shop, it becomes a new alarm clock that goes off countless times a day, forcing you to stay glued to your phone from 6 AM to 10 PM. Over the past few years, when people discuss AI implementation, they often talk about models, agents, workflows, and efficiency revolutions—it all sounds very clean. But when we actually deploy AI in an offline flower shop, we discover that so-called "implementation" isn't about plugging a cool feature into your business. Instead, reality first pins you down and grinds you against the pavement: florists don't look at computers, staff refuse to do inventory, delivery platforms won't open their data, customers want to see the final effect images, and bosses are chased around by one-minute response time requirements. So this episode isn't a grand philosophical discussion about AI, but rather a very concrete, messy, and valuable practical retrospective. We discuss why a flower shop isn't just a "reduce waste" fresh produce business, why AI-generated flower bouquet images seem simple but are actually very difficult, and why the hardest part of offline industries often isn't technology, but people, platforms, processes, and those unglamorous chores that nobody wants to do but must be done every day. You'll hear a counterintuitive insight: the places where AI can truly be implemented are often not where bosses first imagine, but rather emerge from a pile of trivial details only after you've personally run the shop, personally taken orders, and personally been tormented by platform rules. Source links: Original episode page: https://www.xiaoyuzhoufm.com/episode/6a26dd74d1efce7e44845b8a Original podcast home: https://www.xiaoyuzhoufm.com/podcast/5e4243cd418a84a0469573fb https://kejiluandun.podcast.xyz/ https://open.spotify.com/show/6ngiYmenH5wMxeTolaYqwS https://podcasts.apple.com/cn/podcast/id1492740686

  5. Aug 11

    Years of Making Social Media—and Somehow Earning Nothing (Vol. 87)

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 谐星聊天会 English: Comedians Chat Club Original episode name: Chinese: vol.87 经营自媒体好多年,赚到的钱居然是零诶 English: Years of Making Social Media—and Somehow Earning Nothing (Vol. 87) Original episode description: Chinese: 🎙️本期主播: 刘飞(微博/小红书: 刘飞Lufy) 佳佳 (微博:@奇妙进化赖皮虾/ 小红书:@赖铭佳) 石老板 (微博:@单口喜剧石老板/ 小红书: @石老板) 毛冬 (微博/小红书: @午夜骑手毛冬) 👏🏻 欢迎收听谐星聊天会~ 查收后续活动信息,欢迎关注公众号【谐星聊天会】 📱 感谢会说笑喜剧7周年的邀请,这期主播们在杭州和大家一起聊聊关于做自媒体的经历和感受。你是怎么开始经营自媒体账号的? 做了哪些尝试?目前做的情况如何?因为做自媒体有了什么新收获?欢迎收听! ❤️ 欢迎大家在评论区友好讨论、友爱交流。 📢 单立人喜剧演出季重启啦!8月即将登陆沈阳、南京、合肥、杭州,演出加量不加价,每场除了主持人之外有6位演员,时长120分钟,量大管饱。如果你在这些城市,可以在单立人喜剧小程序或者大麦、猫眼搜索“单立人”购票观演。具体演出信息可以查看下方海报,谐聊听友们现场还能发现小惊喜,咱们现场见吧! 📹 时间轴: 00:01:02 啥叫自媒体? 00:18:10 主播们开始在台上品鉴短视频内容 00:28:10 主播们的自媒体之路 00:34:57 大家是怎么开始做自媒体”的? 00:47:11 坚持不懈的自媒体人 01:01:24 不同赛道的自媒体人 01:16:39 这里有一个小彩蛋 🎵 背景音乐 Gimme Some More (instrumental)- Joybird Where I Wanna Be (instrumental)- Dazy Chain 📮合作请联系: xxlth@danlirencomedy.com 制作:石老板 执行制作:赫楠 English: 🎙️ Hosts for this episode: Liu Fei (Weibo/Little Red Book: 刘飞Lufy) Jiajia (Weibo: @奇妙进化赖皮虾/ Little Red Book: @赖铭佳) Shi Laoban (Weibo: @单口喜剧石老板/ Little Red Book: @石老板) Mao Dong (Weibo/Little Red Book: @午夜骑手毛冬) 👏🏻 Welcome to Xiaxing Chat Club~ Follow our official account 【谐星聊天会】to stay updated on upcoming events. 📱 Thank you for the invitation from Huishuo Xiaoxi Comedy's 7th anniversary celebration. In this episode, our hosts are in Hangzhou chatting with everyone about their experiences and feelings about running social media accounts. How did you start managing your social media accounts? What attempts have you made? How are things going now? What new gains have you had from doing social media? Tune in! ❤️ We welcome everyone to have friendly discussions and kind exchanges in the comments section. 📢 Danlirencomedy Comedy Show Season is back! In August, we're coming to Shenyang, Nanjing, Hefei, and Hangzhou. More shows, same prices—each show features 6 performers besides the host, with a 120-minute runtime. Plenty to enjoy! If you're in these cities, you can purchase tickets through the Danlirencomedy mini-program or search "单立人" on Damai or Maoyan. Check out the poster below for specific show information. Xiaoliaohuang listeners can also discover little surprises at the venue. See you there! 📹 Timeline: 00:01:02 What is social media? 00:18:10 Hosts start reviewing short video content on stage 00:28:10 The hosts' social media journeys 00:34:57 How did everyone start doing social media? 00:47:11 Persistent social media creators 01:01:24 Social media creators in different niches 01:16:39 There's a little easter egg here 🎵 Background Music Gimme Some More (instrumental)- Joybird Where I Wanna Be (instrumental)- Dazy Chain 📮 For collaborations, contact: xxlth@danlirencomedy.com Production: Shi Laoban Executive Production: He Nan Source links: Original episode page: https://hosting.wavpub.cn/danlirencomedy/2026/08/05/vol-87-%e7%bb%8f%e8%90%a5%e8%87%aa%e5%aa%92%e4%bd%93%e5%a5%bd%e5%a4%9a%e5%b9%b4%ef%bc%8c%e8%b5%9a%e5%88%b0%e7%9a%84%e9%92%b1%e5%b1%85%e7%84%b6%e6%98%af%e9%9b%b6%e8%af%b6/ Original podcast home: https://www.xiaoyuzhoufm.com/podcast/5e280fa7418a84a0461f912b https://feeds.danlirencomedy.com/xxlth.xml https://podcasts.apple.com/us/podcast/id1488080680

  6. Aug 11

    Beginner Investing from Scratch, Part 1

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 谐星聊天会 English: Comedians Chat Club Original episode name: Chinese: 番外 | 从零开始的新手投资课① English: Bonus: Beginner Investing from Scratch, Part 1 Original episode description: Chinese: 🎙️本期主播: 姜大白(华夏基金员工) 毛冬(微博/小红书: @午夜骑手毛冬) 石老板(微博:@单口喜剧石老板/ 小红书: @石老板) 赫楠 👏🏻 欢迎收听谐星聊天会~ 查收后续活动信息,欢迎关注公众号【谐星聊天会】 💼 这期咱聊聊投资!我们的老朋友华夏基金,和谐聊开启了一次新的合作尝试,我们希望一起陪伴新手投资者,用两期节目把投资里最基础、也最容易被忽略的问题聊清楚。如果你有想要开始投资的打算,但还不知道如何开始,欢迎来听! 📍华夏基金在资产管理行业作为老牌头部公募,从1988年成立至今,已经服务超2.55亿个人投资者、37万余家机构投资者,管理规模超3.2万亿元,累计为投资者创造超5800亿元投资收益。 在指数投资和ETF领域,华夏基金也有比较深的积累。2004年,华夏基金推出境内第一只ETF——上证50ETF;截至2026年6月30日,华夏ETF总规模超5900亿元,旗下拥有130只ETF产品,覆盖宽基、行业、主题、商品、境外市场等不同赛道。对普通投资者来说,指数基金和ETF也是理解基金投资的一条重要路径。 感谢华夏基金的支持! 📮 在本系列的第一期节目中,我们用直白、易懂的语言,聊一聊新手应该用什么心态来面对、开始投资?风险和收益到底是什么关系?我们该怎么判断自己能承受多大的亏损和波动?基金、股票分别是什么?他们有什么区别?以及新手更适合选择什么产品,进行自己的第一笔投资?来听! 📱时间点: 06:14 投资对普通人到底有什么意义? 16:09 如何判断自己的风险承受能力? 49:43 股票到底是啥,为什么股价会涨跌? 59:24 适合新手理解的投资产品和风险排序 01:00:57 基金到底是什么?和股票有什么区别? 01:05:55 新手投资应该如何选择适合自己的产品? 🎵 背景音乐 Bounce- Steven Gutheinz Gimme Some More (instrumental)- Joybird Where I Wanna Be (instrumental)- Dazy Chain 📮合作请联系: xxlth@danlirencomedy.com 制作:石老板 执行制作:赫楠 English: 🎙️ Hosts for This Episode: Jiang Dabai (Huaxia Fund Employee) Mao Dong (Weibo/Little Red Book: @午夜骑手毛冬) Shi Laoban (Weibo: @单口喜剧石老板 / Little Red Book: @石老板) He Nan 👏🏻 Welcome to Xiaxing Chat Session~ For follow-up event information, please follow our official account【Xiaxing Chat Session】 💼 This episode we're talking about investing! Our old friend Huaxia Fund and Xiaxing Chat have launched a new collaboration attempt. We hope to accompany beginner investors together and use two episodes to clarify the most fundamental and most easily overlooked questions in investing. If you're planning to start investing but don't know how to begin, you're welcome to listen! 📍 As an established leading public fund in the asset management industry, Huaxia Fund has served over 255 million individual investors and 370,000+ institutional investors since its establishment in 1988, with assets under management exceeding 3.2 trillion yuan, cumulatively creating over 580 billion yuan in investment returns for investors. In the field of index investing and ETFs, Huaxia Fund also has considerable accumulation. In 2004, Huaxia Fund launched China's first domestic ETF—the Shanghai 50 ETF; as of June 30, 2026, Huaxia ETF's total scale exceeds 590 billion yuan, with 130 ETF products under its umbrella, covering broad-based indices, sector, thematic, commodity, and overseas market segments. For ordinary investors, index funds and ETFs are also an important pathway to understanding fund investing. Thank you for Huaxia Fund's support! 📮 In the first episode of this series, we use straightforward and easy-to-understand language to discuss: what mindset should beginners adopt when facing and starting to invest? What exactly is the relationship between risk and return? How should we judge how much loss and volatility we can tolerate? What are funds and stocks respectively? What are the differences between them? And what products are more suitable for beginners to make their first investment? Come listen! 📱 Timestamps: 06:14 What does investing really mean for ordinary people? 16:09 How to judge your own risk tolerance? 49:43 What exactly are stocks and why do stock prices fluctuate? 59:24 Investment products and risk ranking suitable for beginners to understand 01:00:57 What exactly are funds? What's the difference between them and stocks? 01:05:55 How should beginners choose products suitable for themselves? 🎵 Background Music Bounce - Steven Gutheinz Gimme Some More (instrumental) - Joybird Where I Wanna Be (instrumental) - Dazy Chain 📮 For collaboration inquiries: xxlth@danlirencomedy.com Production: Shi Laoban Executive Production: He Nan Source links: Original episode page: https://hosting.wavpub.cn/danlirencomedy/2026/07/29/%e7%95%aa%e5%a4%96-%e4%bb%8e%e9%9b%b6%e5%bc%80%e5%a7%8b%e7%9a%84%e6%96%b0%e6%89%8b%e6%8a%95%e8%b5%84%e8%af%be%e2%91%a0/ Original podcast home: https://www.xiaoyuzhoufm.com/podcast/5e280fa7418a84a0461f912b https://feeds.danlirencomedy.com/xxlth.xml https://podcasts.apple.com/us/podcast/id1488080680

  7. Aug 11

    Why Is the Stock-Options Pie Getting Harder to Swallow?

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: 科技乱炖 English: Tech Stew Original episode name: Chinese: 期权这张饼,为什么越来越难吃了? English: Why Is the Stock-Options Pie Getting Harder to Swallow? Original episode description: Chinese: 曾经,期权是互联网公司最迷人的叙事之一:公司还小,现金不多,但未来很大;你先一起扛几年,等到上市、并购、估值起飞,今天的“纸面权益”就可能变成明天的真金白银。它像一张通往未来的票,也像创业公司和员工之间的一次互相信任。 但问题是,很多人后来发现,自己拿到的不是票,而是一张解释权归公司所有的饼。 这一期,我们从最近引发争议的某互联网公司期权纠纷聊起:为什么员工明明被授予了期权,公司却能在上市前后以各种理由说“不算”?为什么一个看似个体的劳动争议,可能牵出 VIE 架构、上市主体、境内劳动合同和海外控股公司之间的复杂关系?为什么监管、法院、投资者和员工,最终都绕不开同一个问题:这家公司到底认不认自己画过的饼? 节目里,我们也把“期权”这件事拆开讲清楚。它不是股票,也不是奖金,更不是白送的钱。期权本质上是一种未来的选择权:公司承诺你在某个时间之后,可以用约定价格购买一定数量的股票或权益。它真正值钱,需要几个条件同时成立:公司得活得好,最好能上市或被并购;市场得愿意给高估值;合同和制度得被承认;最重要的是,公司不能在饼快熟的时候把桌子掀了。 从硅谷早期的期权激励,到中国互联网公司借 VIE 架构赴海外上市;从期权、RSU、限制性股票的区别,到行权、归属、期权池和回购条款里藏着的坑;从“金手铐”到“空头支票”,这期节目试图回答一个更现实的问题:当经济上行、上市窗口和公司信用都不再像过去那样稳定,期权还配不配占据你薪酬包里的重要位置? 【本期主播】 朱峰:「津津乐道播客网络」创始人,产品及技术专家。(微博:@zhufengme) 某高老师:「科技乱炖」主播,资深运维专家,互联网和 IT 行业从业20 年,现任某互联网安全公司高管。(微博:@某高老师,Blog:某高老师 – 人间观察) 高春辉:「科技乱炖」主播。“中国互联网站长第一人”,科技、互联网领域的连续创业者。(微博:@高春辉,微信公众号:老高的互联网杂谈) 【制作团队】 后期 / 朱峰 封面 / 姝琦 运营 / 卷圈 监制 / 姝琦 产品统筹 / bobo 场地支持 / 声湃轩北京录音间 【联系我们】 希望大家在听友群和评论区多多反馈收听感受,这对我们来说十分重要。欢迎添加津津乐道小助手微信:dao160301,加入听友群。 【关于「科技乱炖」】 由多名资深从业者主持的科技点评播客,以实际工作中积累的经验为基础,结合实际,把近期科技热点变成犀利、独到、深刻的独家观点。 【关于「津津乐道播客网络」】 在一派纷繁芜杂里,我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板,拒绝空泛浮夸。与专业且有趣的人携手缔造清流,分享经历,传播体验,厘清世界与你的关系。 津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代 收听平台 苹果播客 | 小宇宙App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube | 华为播客 联系我们 津津乐道播客官网 | 公众号:津津乐道播客 | 微信:dao160301 | 微博:津津乐道播客 | 商业合作:hi@dao.fm | 版权声明 | RSS订阅 本节目由「声湃 WavPub」提供内容托管和数据服务支持。 English: Once, stock options were one of the most compelling narratives in internet companies: the company was still small, cash was limited, but the future was vast; you'd tough it out together for a few years, and when the company went public, got acquired, or its valuation skyrocketed, today's "paper equity" could become tomorrow's real money. It was like a ticket to the future, and also a mutual expression of trust between startups and their employees. But the problem is, many people later discovered that what they received wasn't a ticket, but a pie whose interpretation rights belonged entirely to the company. In this episode, we start with a recent controversial stock option dispute at an internet company: why can employees who were clearly granted options have the company say "it doesn't count" for various reasons before and after going public? Why can what seems like an individual labor dispute unravel into complex relationships between VIE structures, listing entities, domestic employment contracts, and overseas holding companies? Why do regulators, courts, investors, and employees all ultimately face the same question: does this company actually stand by the pie it drew? In the show, we also break down what "stock options" really are. They're not stocks, not bonuses, and certainly not free money. Stock options are essentially a future right of choice: the company promises that after a certain time, you can purchase a certain number of shares or equity at an agreed price. For them to be truly valuable, several conditions must be met simultaneously: the company must be doing well, ideally going public or being acquired; the market must be willing to assign a high valuation; the contract and system must be recognized; and most importantly, the company can't flip the table when the pie is almost ready. From early Silicon Valley stock option incentives to Chinese internet companies going overseas through VIE structures; from the differences between options, RSUs, and restricted stock, to the pitfalls hidden in exercise, vesting, option pools, and buyback clauses; from "golden handcuffs" to "empty promises," this episode attempts to answer a more practical question: when economic growth, IPO windows, and corporate credit are no longer as stable as they once were, do stock options still deserve an important place in your compensation package? Hosts of This Episode Zhu Feng: Founder of "Jinjin Ledao Podcast Network," product and technology expert. (Weibo: @zhufengme) Mr. Gao: Host of "Tech Hodgepodge," senior operations expert, 20 years in internet and IT industries, currently a senior executive at an internet security company. (Weibo: @Mr. Gao, Blog: Mr. Gao's Human Observations) Gao Chunhui: Host of "Tech Hodgepodge." "China's First Internet Webmaster," serial entrepreneur in technology and internet sectors. (Weibo: @Gao Chunhui, WeChat Official Account: Lao Gao's Internet Miscellany) Production Team Post-production / Zhu Feng Cover / Shuqi Operations / Juanquan Executive Producer / Shuqi Product Coordination / bobo Venue Support / Soundpub Beijing Recording Studio Contact Us We hope you'll share your listening feedback in the listener group and comments section—it's very important to us. Welcome to add Jinjin Ledao Assistant WeChat: dao160301 to join the listener group. About "Tech Hodgepodge" A tech commentary podcast hosted by multiple seasoned industry professionals, based on experience accumulated from actual work, combining theory with practice to transform recent tech hot topics into sharp, unique, and insightful original perspectives. About "Jinjin Ledao Podcast Network" In a sea of chaos and clutter, we exist to delight your ears. Technology, education, culture, food, lifestyle, skills, emotions... serious and thoughtful yet never rigid, rejecting empty hype. Hand in hand with professionals who are also interesting, we create a clear stream, sharing experiences, transmitting perspectives, and clarifying the relationship between the world and you. Jinjin Ledao | Tech Hodgepodge | Jinjin Youwei | Reporters Off Duty | Not Three Not Four | Factory Director Arrives | Coder's Voice | Boiling Living Room | Parenting Era Listening Platforms Apple Podcasts | Xiaoyuzhou App | Spotify | Ximalaya | NetEase Cloud Music | QQ Music | WeChat Audio Books | Lizhi FM | CNR Cloud Listening | Tingtingfm | Sure Upright Ear App | Bilibili | YouTube | Huawei Podcasts Contact Us Jinjin Ledao Podcast Official Website | Official Account: Jinjin Ledao Podcast | WeChat: dao160301 | Weibo: Jinjin Ledao Podcast | Business Cooperation: hi@dao.fm | Copyright Statement | RSS Subscription This program is provided with content hosting and data service support by "Soundpub WavPub." Source links: Original episode page: https://hosting.wavpub.cn/dao-sub/?p=1372 Original podcast home: https://kejiluandun.podcast.xyz/ https://dao.fm/ https://feeds.daopub.com/ld.xml

  8. Aug 7

    From the Gold Rush to the White Australia Policy: How Did Chinese Australians “Become Australian”?

    🚨免责声明🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 Original podcast name: Chinese: SBS 普通话电台 English: SBS Mandarin Radio Original episode name: Chinese: 从淘金热到白澳政策:澳洲华人如何"成为澳洲人"? English: From the Gold Rush to the White Australia Policy: How Did Chinese Australians “Become Australian”? Original episode description: Chinese: 出生在澳大利亚,却仍需要向政府证明自己有资格回到出生的国家?一百多年前,这曾是部分澳洲华人的真实经历。从淘金热到白澳政策,从国家档案馆保存的一张照片,到一个华人家庭跨越百年的记忆,这段鲜为人知的历史不仅关乎华人,也关乎澳大利亚如何定义自身。回望这段历史,一个值得重新思考的问题始终存在:谁能被视为澳大利亚人?(欢迎点击收听播客) English: Born in Australia, yet still required to prove to the government that you have the right to return to your birthplace? Over a century ago, this was the lived reality for some Chinese Australians. From the gold rush to the White Australia Policy, from a photograph preserved in the National Archives to the century-spanning memories of a Chinese family, this little-known history concerns not only the Chinese community but also how Australia defines itself. Looking back at this chapter of history, one question worthy of reconsideration persists: Who can be considered Australian? (Welcome to listen to the podcast) Source links: Original episode page: https://www.sbs.com.au/language/chinese/zh-hans/podcast-episode/from-the-gold-rush-to-the-white-australia-policy-how-did-chinese-australians-become-australians/206ypj1yd Original podcast home: https://www.sbs.com.au/language/chinese/zh-hans/podcast/sbs-mandarin https://podcasts.apple.com/au/podcast/sbs-mandarin-sbs-%E6%99%AE%E9%80%9A%E8%AF%9D%E7%94%B5%E5%8F%B0/id81200245 https://www.youtube.com/playlist?list=PLU9y0rmSblNEu8X7cwBqlxOlCUFi6JP4y https://open.spotify.com/show/5KT1w7zVORbbFkzRTdilQh

About

🚨免责声明/Disclaimer🚨 如果您是本频道中任何播客的创作者,并且希望我删除您在本频道中的任何内容,您可以发送电子邮件至 lakembalab@gmail.com,我将立即删除,无需任何理由。 This is a podcast feed, where, to help me learn Chinese, I've used AI to transcribe episodes of Chinese podcasts, split them into clips, translate them to English, read the script using TTS models, and edit the translated clips into the original podcast. Are these transcriptions/translations fully accurate? Is this the best way to learn a new language? Are these files flawless and without errors? The answer to all these questions is, resoundingly, NO. I am just doing this for fun. 这是一个播客订阅源,为了帮助我学习中文,我使用人工智能将中文播客节目转录成文字,分割成片段,翻译成英文,用文本转语音(TTS)模型朗读文本,并将翻译后的片段编辑到原播客中。 这些转录/翻译完全准确吗? 这是学习新语言的最佳方法吗? 这些文件完美无瑕吗? 所有这些问题的答案都是否定的。 我做这个只是为了好玩。