时语晨光
时语拾光「时语晨光」是一档由文化商业领域连续创业者新龙主持的专业播客节目，专注于商业趋势、社会变革与职业发展探索。新龙具备多重专业身份：企业创始人、CEO、文化商业顾问，同时也是「走，出海去」等播客节目的主理人。在多年的职业发展与创业历程中，新龙不断突破传统界限，挑战自我，树立了鲜明的个人特质——跨文化商业观察者、创业引领者和全球化视野的实践者。他的经历与故事，体现了持续成长的动力与对未来的深入思考。 在「时语晨光」，新龙将通过系统性的思考与探讨，与听众共同解析全球商业新趋势、市场变革和行业发展方向。每期节目以15分钟为限，为听众营造一个富有深度与洞察的对话空间，共同探讨商业、社会发展与职业生涯等议题。 本节目由播客厂牌「时语拾光」Timeless Resonance Studio制作出品。 欢迎加入「时语晨光」的社群：添加小助理微信：hdtalk，报暗号”晨光”即可加入。
| Publishes | Daily | Episodes | 477 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Language |  Chinese (Simplified) | Number of Listeners | Categories | Business NewsDaily NewsNews |
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Latest Episodes
晨间简报·第五十八集｜AI时代，企业如何同时解决今天与五年以后
📍 简介
2026年10月2日，国庆假期第二天。
过去一年，我们讨论人工智能产业时，经常面对一个看似矛盾的问题：
一家企业如果希望建立长期自主能力，今天是否仍然需要使用全球最成熟的技术？
本期「晨间简报」关注一则关于腾讯的报道。据英国《金融时报》报道，腾讯与Oracle达成一项价值约70亿美元、为期五年的海外AI算力租赁协议，涉及约10万颗先进AI芯片，并将在Oracle位于东南亚的数据中心使用相关计算资源。Reuter... more
晨间简报·第五十七集｜当企业越来越知道消费者的支付上限，定价能力和信任边界开始一起变化
📍 简介
2026年10月1日，国庆假期第一天。
今天的晨间简报，我们从一只巨无霸开始。
路透社调查发现，麦当劳正在美国及部分海外市场扩大使用AI定价工具。系统分析美国近1.4万家餐厅每天产生的数百万笔交易，并将一个过去很难被精确衡量的变量正式放进模型：
当地消费者愿意付多少钱。
在加州Fresno，两家相距大约两英里的麦当劳公司直营店，同一个巨无霸分别卖5.69美元和6.89美元，相差约21%... more
晨间简报·第五十六集｜AMD花82亿美元提前押注下一代AI，UPI走出六年免费时代，Anthropic则把“谁有最后决定权”写进上市结构
📍 简介
2026年9月30日，今天的晨间简报从一个不太像IPO的问题开始：
如果你花钱买下一家公司的股票，而它在上市之前就明确告诉你——未来某一天，如果公司使命和股东财务利益发生冲突，它可能选择前者——你还会买吗？
正在筹备IPO的Anthropic，正在尝试把这个问题真正写进公司治理。
根据路透社获得的IPO材料，Anthropic七位联合创始... more
晨间简报·第五十五集｜当AI开始在轨道上先算一遍，卫星生意正在从“卖数据”试着走向“卖答案”
📍 简介
如果一份数据已经在几百公里高的太空里产生了，我们为什么一定要先把它送回地球，再找一台电脑来算？
2026年10月1日，印度太空创业公司TakeMe2Space计划搭乘SpaceX的Transporter-18任务，将MOI-1A卫星送入轨道。
这颗不到50公斤的卫星搭载英伟达Orin NX边缘计算处理器。真正值得注意的，却不是“英伟达芯片上太空”，而是它背后的商业尝试：TakeMe2... more
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Apple Podcasts | #60 | China/News/Business News |
Apple Podcasts | #82 |  New Zealand/News/Business News |
Apple Podcasts | #120 |  Taiwan/News/Business News |
Apple Podcasts | #156 |  Hong Kong/News/Business News |
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| Listeners per Episode | Gender Skew | Location | |||
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| Household Income | Social Media Reach | ||||
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时语晨光 launched 2 years ago and published 477 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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