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《晚安咖啡》科技夜话(英文版):英伟达拟巨资收购Hugging Face,OpenAI披露Astra自主造网攻工具

《晚安咖啡》科技夜话(英文版):英伟达拟巨资收购Hugging Face,OpenAI披露Astra自主造网攻工具

晚安咖啡GoodNightCoffee

Hi there~ Good evening, everyone! Today is Wednesday, September 2, 2026. I'm An An, your host from Good Night Coffee. It's been a busy day, and you must be tired—thank you for being here. Tonight, let's dive into the latest in business and tech, and see what kind of magic the world has quietly been up to. So sit back, relax, and let's get started! @@@ According to Bloomberg, Nvidia is nearing a deal to acquire the AI company Hugging Face for approximately $14 billion, with an official announcement potentially coming as early as this week. The potential acquisition has already drawn widespread attention across the industry—if finalized, it would mark Nvidia's largest acquisition in the field of artificial intelligence to date. Talks have entered their final stages, though sources close to the matter caution that the deal could still face delays or fall through. Founded in 2016, Hugging Face has become a vital hub for developers worldwide to share and deploy machine learning models through its open-source community and model-hosting platform. Should the acquisition go through, it would signal Nvidia's expansion from its core chip hardware business further into the AI developer ecosystem and model distribution layer. Nvidia already holds a dominant position in AI computing, and this move extends its advantage in the GPU market into broader software and community-driven scenarios, aligning with its broader strategy in AI infrastructure over recent years. The report notes that the two parties have largely reached agreement on the core terms of the deal structure and valuation, with customary due diligence and regulatory approval processes still to follow. @@@ According to cnBeta, OpenAI recently stated that its next-generation AI agent, Astra, is capable of independently building cyberattack tools without human assistance. OpenAI claims the AI has achieved a high level of autonomy—it can independently conduct target reconnaissance and vulnerability analysis, adapt its attack strategies in real time based on environmental feedback, and generate matching malicious code scripts. In test environments, Astra was reportedly given a clear cyberattack mission and was able to complete the entire process—from attack plan design to tool deployment—without any human intervention. OpenAI also emphasized the security considerations behind this development, saying that technical details have only been shared with select security research institutions to evaluate defense measures and advance targeted protective systems. This announcement has sparked debate over the boundaries of autonomous AI in cyberspace, with security experts widely concerned that such capabilities could lower the technical barriers to cyberattacks. OpenAI has not yet released further details about Astra's specific architecture or future rollout plans. @@@ According to cnBeta, Tesla recently cited European accident data to claim that its Full Self-Driving system has a far lower accident rate on European roads than human drivers. The data shows that when FSD is activated, the average accident rate is approximately 0.19 incidents per million miles, compared to about 1.08 incidents per million miles for human drivers in Europe. This comparison suggests that FSD's accident risk factor is less than one-fifth of that of human drivers. Tesla disclosed these figures in a safety report submitted to European regulators, which focused on demonstrating the safety performance of its advanced driver-assistance systems in real-world road conditions. Additionally, Tesla emphasized in its statement that the data is derived from actual mileage statistics across Europe, not from laboratory or simulated environments. As for the pace of FSD's rollout in the European market, Tesla stated that it will continue to gradually expand the system's real-world application in accordance with the regulatory requirements of each country. @@@ According to an official announcement from China FAW, the automaker has achieved a technological breakthrough in the low-pressure operation of sulfide-based all-solid-state batteries, with the findings recently released. The research targeted a key bottleneck in the practical application of all-solid-state batteries—specifically, the high-pressure requirements caused by poor solid-solid interface contact. Through innovative material systems and interface engineering, the R&D team enabled the battery to maintain stable operation under lower external pressure conditions, significantly reducing the reliance on expensive external pressurization equipment. This progress helps enhance the feasibility and safety of the battery in practical production applications, laying a process foundation for future mass production. In terms of technical approach, China FAW selected sulfide as the core electrolyte route, which offers advantages such as high ionic conductivity and ease of processing and shaping, making it well-suited for the development of automotive-grade power batteries. The technical team also optimized the matching between the electrodes and electrolyte, improving interface stability and further enhancing the battery's cycle life and fast-charging potential. The achievement covers multiple stages, from key material preparation to cell prototype validation, marking a substantial step forward in the company's next-generation power battery technology reserves. Going forward, FAW will continue to advance the engineering validation of this technology and explore integration solutions for vehicle platforms, with the goal of moving all-solid-state batteries from the laboratory to scaled manufacturing. This news comes from Huxiu. @@@ According to Sina Tech, Dell released its second-quarter fiscal 2026 earnings after U.S. markets closed on September 1. The data shows Dell's quarterly revenue reached $46.97 billion, exceeding market expectations. Driven by strong demand for AI servers, Dell's stock surged more than 10% in after-hours trading. The report shows that Dell's backlog of AI server orders grew significantly in the second quarter, with the business performing exceptionally well. The company also raised its full-year guidance, increasing its AI server annual revenue outlook to roughly three times its previous projection. Dell's Chief Operating Officer stated in the earnings release that customer demand for AI server configurations remains robust, with a notable sequential increase in inquiries for AI-optimized servers. Dell's Infrastructure Solutions Group also posted revenue growth for the quarter, with the storage business performing steadily. Server and networking revenue received a significant boost from increased AI server shipments. During the subsequent earnings call, Dell executives confirmed that the AI server business is shifting focus from traditional Nvidia-based product lines to solutions incorporating AMD chips. Dell expects revenue and profits to continue their growth trajectory in the new fiscal quarter. Following the earnings release, several institutions raised their price targets for Dell in after-hours trading. @@@ According to Bloomberg, OpenAI CEO Sam Altman recently responded to concerns about the large amounts of water consumed by AI data centers. He stated clearly that such criticism lacks data support, and that actual water usage is far lower than the public imagines—the concerns have been exaggerated. In an interview, Altman noted that data centers do require water for cooling, but the calculations and statistics regarding water consumption by generative AI models generally suffer from unclear methodologies and rough estimates. He revealed that OpenAI has access to more precise water usage data internally and is committed to continuously reducing its water intensity. During the discussion, Altman acknowledged that improving model algorithm efficiency alone is not enough to fully resolve the controversy, and that industry transparency and external regulation are also necessary. He also reiterated that OpenAI has committed to achieving net-positive water usage for its data centers by 2030, and that in the future, users may be able to choose computing locations based on their needs, addressing concerns about resource consumption at a systemic level. Earlier, a study from the University of California, Riverside estimated that a user conversing with ChatGPT 20 to 50 times would consume approximately 500 milliliters of water—a figure that sparked widespread attention. However, Altman argued that such estimates fail to account for the climatic conditions of data center locations and the actual efficiency of advanced cooling circulation systems, making them inaccurate. He emphasized that as data center designs continue to evolve, new heat dissipation technologies have significantly reduced reliance on municipal water supplies, with some projects running entirely on recycled or reclaimed water. @@@ Alright, that wraps up today's episode! Thank you so much for tuning in tonight—it's been a pleasure having you here. I hope these stories brought you a little warmth and inspiration. If you enjoy our show, we'd love it if you subscribed and shared it with your friends—it really means a lot to us. Until next time, take care and good night!

9分钟
43
2天前
028.《安之如仪》:位居银行副总裁,依旧困于"恨女" 执念?

028.《安之如仪》:位居银行副总裁,依旧困于"恨女" 执念?

这个月的播客

【本期简介】 本期节目,我们继续「强女列传」系列,来聊聊文学史上那位长期被当作“情史背景板”的——张幼仪。 今天推荐的这本传记《安之如仪》,是她晚年口述给自己的侄孙女张邦梅,再由张邦梅来撰写的。 张幼仪作为一个长期被“镶边”在徐志摩与林徽因故事中“旧式弃妇”,她是徐志摩口中的“乡下土包子”,是多角恋里最不被爱的那个。然而,在她晚年口述的《安之如仪》里,我们却看到了一个靠自己打下翻身仗、一路逆袭为上海女子商业储蓄银行副总裁的强大女性。但就这样的的一个独立强女,在历史上的风评却被扣上“旧式弃妇”的名号。 故事并没有停留在爽文的终点。当我们翻开历史的褶皱,会发现张幼仪身上依然留有时代的局限——比如她晚年依然认为林徽因是自己离婚的推手。 让我想起《我的前半生》里罗子君说我们薛甄珠女士“她一个单亲妈妈,带大两个孩子。她那么幸苦,脾气大点也是可以原谅的。”从结果导向我们看到的是一个满身怨怼的“恨女”张幼仪,一个市井暴躁的薛甄珠,可在她们的时代里,她们的局限中,那些怨怼和暴躁,或许已经是她们在迷雾中能握住的最大体面 —— 就像张幼仪,她未必不知道自己那句 “是林徽因推动的”站不站得住,可她需要一个解释,来安放那场抛弃。 在升纬度的读者视角中,我们会下意识的苛刻身在迷雾中的TA们,一边是神化之下的充分暴露,一边又是她在现实里作为一个有血肉的人类的不完全。本期播客我们就拨开坊间流传的黑与白,去拼凑张幼仪身上的真实灰度。 【主播介绍】 这个月,读书博主,编辑,作者,全网 700 万粉丝,全平台同名,代表作《照月记》。 【内容摘要】 00:00 开场:从神坛到裂缝 —— 女性公众人物为何总在 "塌房" 02:49 不算孩子的女儿,被哥哥救下的幸运大脚。 05:58 假象婿与包办婚姻:谁才是真正爱徐志摩的人。 07:54 隐形霸凌与冷暴力:那些被婚姻封印的日子。 13:53 从弃妇到银行副总裁:强女翻身战。 18:17 塌房时刻,张幼仪的“恨女”执念。 22:00 升纬的读者与历史的灰度 【金句摘录】 “话语权在谁手上,笔握在谁手上,谁就是故事的主人。” “不要在意外界的评价,要尊重自己内心的感受什么的。” “有人死于火车事故,难道人们就从此不坐火车了?” “人在还抱有一丝期望的时候,是被捆绑着的,期望本身就是你的枷锁,而这条锁链当中往往参杂了过多的幻想。” “而一旦彻彻底底失望了,反而自由。所以失望真的很好,负面情绪和负面感受有时候是走向自由和超脱的第一步。” “矛盾的发生也是因为在当时的世界里,各有位置。” “清醒大女主怎么还那么爱打扮呢,那么爱打扮怎么能输出知识和文学呢?其中定有蹊跷。” “人就是复杂矛盾的呀,吃进去是香的,拉出来是臭的” “想得到不一定做得到,现在做得到不一定以前做得到。” “经过了时间的我们,是升维的。而此刻的我们当然知道,张幼仪这一小点片面,无法抵消她整个人生给我们带来的鼓励。” “如果我们不能理解和接受人的复杂以及人的弹性,我们很难清晰地看人看问题。” “因为岁月轰隆隆不断碾过,跨越了时间回看我们的人,他们能清晰地看见所有故事其中的灰度,而在这样的灰度里,我想我们要做到的,是不要成为其中的杂音和阻力。” 【本期音乐】 《honeybee》—Olivia Rodrigo 【联系我】 抖音:这个月 小红书:这个月 bilibili:这个月- 微博:这个月

28分钟
3k+
2天前
《晚安咖啡》科技夜话:英伟达拟巨资收购Hugging Face,OpenAI披露Astra自主造网攻工具

《晚安咖啡》科技夜话:英伟达拟巨资收购Hugging Face,OpenAI披露Astra自主造网攻工具

晚安咖啡GoodNightCoffee

嗨~~大家晚上好呀!今天是2026年9月2日,星期三,我是晚安咖啡的主播安安。忙碌的一天辛苦啦~今晚想和你一起聊聊新鲜的商业科技动态,看看世界又悄悄变了哪些魔法。放松耳朵,我们这就出发! @@@ 据彭博社消息,英伟达正接近达成一项价值约140亿美元的收购协议,标的为人工智能公司Hugging Face,协议最早有望于本周内正式宣布。这笔潜在交易已引发业界的广泛关注,若最终落地,将成为英伟达在人工智能领域规模最大的一笔收购。目前,双方的谈判已进入后期阶段,但知情人士也谨慎表示,交易仍存在延迟或破裂的可能。成立于2016年的Hugging Face,凭借其开源社区和模型托管平台,已成为全球开发者共享与部署机器学习模型的重要枢纽。此次收购倘若完成,将意味着英伟达的产业布局从底层芯片硬件,进一步延伸至人工智能开发者生态与模型分发层。在此之前,英伟达已在AI计算领域占据主导地位,将其在图形处理器市场的优势拓展至更广泛的软件与社区场景,契合其近年在人工智能基础设施领域的整体战略。该报道称,双方对于交易结构和估值的核心条款已基本达成一致,后续还需经过常规的尽职调查与监管审批程序。 @@@ 据cnBeta报道,OpenAI日前表示,其研发的新一代人工智能体Astra能够在无人协助的情况下独立构建网络攻击工具。OpenAI称该AI已达到高度自主化水平,不仅能自主完成目标侦察与漏洞分析,还能根据环境反馈实时调整攻击策略并生成配套恶意代码脚本。相关描述指出,在测试环境中,Astra被赋予明确的网络攻击任务后,全程无需人类操作干预,即可完成从攻击方案设计到工具部署的完整流程。OpenAI同时强调了这一进展背后的安全考量,表示相关技术细节仅向部分安全研究机构披露,以评估防御手段并推进针对性防护体系的建设。这一表态引发了外界对自主AI在网络空间应用边界的争议,安全专家普遍担忧此类能力可能降低网络攻击的技术门槛。关于Astra的具体架构和后续开放计划,OpenAI暂时没有公布更多信息。 @@@ 据cnBeta消息,特斯拉近日援引欧洲事故数据宣称,其全自动驾驶系统在欧洲道路上的事故率远低于人类驾驶水平。相关数据显示,特斯拉FSD系统在激活状态下的平均事故发生率约为每百万英里0.19起,而欧洲人类驾驶员的平均事故率则为每百万英里约1.08起。这一对比意味着FSD的事故风险系数不足人类驾驶员的两成。特斯拉方面是在向欧洲监管机构提交的一份安全报告中披露上述数据的,报告侧重于展示高级驾驶辅助系统在实际道路环境中的安全表现。此外,特斯拉在声明中反复强调,相关数据均来源于欧洲范围内真实行驶里程的统计,并非实验室或模拟环境推演。对于FSD在欧洲市场的推进节奏,特斯拉表示将持续依据各国法规要求,逐步扩大系统的实际应用范围。 @@@ 据中国一汽官方披露,一汽在硫化物全固态电池低压力运行领域取得技术突破,相关成果已于近日发布。此次研发面向全固态电池实际应用中的关键瓶颈,重点解决了固固界面接触不良导致的高压需求问题。研发团队通过创新的材料体系与界面工程,使电池能够在较低的外部压力环境下保持稳定运行,显著降低了全固态电池对高额外部加压装置的依赖。这一进展有助于提升电池在实际生产应用中的可行性与安全性,为未来量产奠定了工艺基础。在技术路径上,中国一汽选择硫化物作为核心电解质路线,其具备离子电导率高、易于加工成型等优势,适配于车规级动力电池的开发需求。技术人员同步优化了电极与电解质的匹配度,改善了界面稳定性,进一步提升了电池循环寿命与快充潜力。该成果覆盖了从关键材料制备到电芯原型验证的多个环节,标志着企业在下一代动力电池技术储备方面迈出了实质性步伐。后续阶段,一汽将持续推进该技术的工程化验证,并探索在整车平台上的集成方案,以推动全固态电池从实验室走向规模化制造。消息来自虎嗅。 @@@ 据新浪科技报道,戴尔公司于9月1日美股盘后发布了2026财年第二季度财报。数据显示,戴尔当季营收达到469.7亿美元,超出市场预期。受AI服务器强劲需求推动,戴尔盘后股价大涨超过10%。财报显示,戴尔第二季度AI服务器积压订单大幅增长,该业务表现亮眼。公司进一步上调了全年业绩指引,将AI服务器全年营收展望提高至此前的三倍左右。戴尔首席运营官在财报声明中表示,客户对AI服务器配置的需求持续强劲,对AI优化服务器的询价量环比显著攀升。戴尔基础设施解决方案部门当季营收同样实现增长,其中存储业务表现稳健。服务器与网络业务收入因AI服务器出货增加而获得明显提振。戴尔高管在随后的电话会议中确认,AI服务器业务的重心正在从传统的英伟达产品线扩展至采用AMD芯片的解决方案。戴尔预计,新财季的营收和利润将继续保持增长态势。相关财报公布后,多家机构在盘后上调了戴尔的目标股价。 @@@ 据彭博社报道,OpenAI首席执行官奥特曼日前回应了外界关于人工智能数据中心大量消耗水资源的担忧。他明确表示,相关指责缺乏数据支撑,实际用水量远低于公众想象,人们的忧虑被夸大了。奥特曼在访谈中指出,数据中心确实需要用水进行冷却,但针对生成式人工智能模型耗水的测算和统计,普遍存在口径不清、估算粗糙的问题。他透露,OpenAI内部已经掌握更加精确的用水数据,并致力于持续降低用水强度。在相关讨论中,奥特曼承认仅靠推进模型算法效率不足以完全化解争议,行业透明度和外部监管也是必要的。他同时重申,OpenAI已经承诺到2030年实现数据中心用水正增长,未来用户在调用模型时,也有望根据自身需求选择计算地点,从机制上消解外界对资源消耗的疑虑。此前,加州大学河滨分校一项研究估算,用户与ChatGPT对话二十到五十次,就会消耗约五百毫升水资源,这组数据曾引发广泛关注。但奥特曼认为,这类推算未将数据中心所处地域的气候条件以及先进冷却循环系统的实际效率纳入考虑,因此并不准确。他强调,随着数据中心设计不断迭代,新的散热技术已经大幅减少了对市政供水系统的依赖,部分项目甚至完全使用再生水或循环水。 @@@ 好啦,今天的节目到这里就结束啦!感谢你今晚的收听和陪伴,希望这些故事能为你带来一点温暖和力量。如果您喜欢我们的节目,也非常欢迎订阅和转发给你的小伙伴,这对我们非常有帮助。那我们下期再见吧!

8分钟
55
2天前
E197 流派林立,我为何选了价值投资?心路历程分享 | 永庆串台自由 x 无用

E197 流派林立,我为何选了价值投资?心路历程分享 | 永庆串台自由 x 无用

投资实战派

🕰️ 本期讨论了成功投资需具备正确的心态、价值观、时间和耐心,选择适合自己的投资策略,考虑个人性格、风险承受能力及投资目标。对新手投资者,建议多学习、专注于高价值公司研究,避免盲目操作。此外还讨论了“能力圈”概念,提倡找到擅长领域深入研究,并利用高效学习方法如AI辅助提高投资决策质量。 🎺本期嘉宾 永庆:投资实战派主理人、二级投资人,高质量公司的价值投资,关注:互联网、消费、科技创新等投资机会,公众号:投资实战派 ;9月中旬会上架一本关于股票投资和研究的工具书《股票投资实战派:框架、方法和案例》 凯瑟琳:播客《自由 x 无用》主播,链接:播客 ,投资实战派1%的听友 *本期节目仅为嘉宾个人经验分享,不作为任何投资建议和推荐。如需转载请联系小编并获得许可。 💿 播客概览时间轴 00:00 投资之路:从技术分析到价值投资的转型 04:50 投资历程与价值投资观念转变 08:10 投资经验与市场理解:高质量公司价值投资的重要性 12:05 投资周期与心态调整:从周期波动中学习 16:00 高质量公司价值投资策略与开放协作投研理念 21:28 性格与投资风格:找到适合自己的投资方式 26:10 投资策略与个人属性匹配的重要性 34:24 价值投资能力圈划定与拓展策略 38:59 投资研究:广度与深度的平衡之道 41:21 深度研究行业翘楚:价值投资的策略与实践 47:35 投资实战派:投研方法论书籍推荐与个人经验分享 50:05 投资背后的深层价值观与非物质收获 55:15 投资策略与长期主义:创造正能量与内在价值 01:01:49 投资新手高效学习与实践指南 节目简介 投资不迷茫,实战派带你闯。投资实战派是一个专注于投资实践、商业研究、经验交流的播客。 知识星球"实战派”,主要提供:播客的文字版+高质量信息源;全球精选50公司持续跟踪,可以在知识星球中搜索“实战派”。 实战派“小小群”:多个行业小群、深度跟踪和交流,免费(需要高质量分享) 实战派“高净值club”:优先参加实战派全部线上和线下活动。 (苹果用户想要「加入星球」,只需要点击星球预览页右上角的「分享」按钮,再点击分享到「微信」,然后在微信内打开刚才分享的页面,即可使用微信支付加入星球。) 粉丝群可以加小编微信aqing5210305,备注“播客”,因运营有限,优先产业界人士、投资机构等,需要发名片和介绍做简单筛选,望理解。

65分钟
1k+
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AI李时珍带你“尝百草”---小宇宙先声活动演讲---91页PPT solo

AI李时珍带你“尝百草”---小宇宙先声活动演讲---91页PPT solo

屠龙之术

这期的内容来自于8月22-23号, 小宇宙先声-信号塔活动上我的meetup环节: 《AI时代的素材李时珍,在信息山野里尝百草》 当天的内容我策划的方式是把8月1号-20号, 这20天我所收集到ima知识库中的图表做一个纯“罗列”; 然后再去和大家解释为什么我会定期做PPT性质的梳理。 所以当天算是一个“PPT乱讲”,也算是一次任性的尝试; 好在当天在场的听友都很给面子, 听完了我这次的分享。 老规矩,PPT在我的ima数据库中,有需要可以去ima获取; 屠龙之术VIP报告库 https://ima.qq.com/wiki/?shareId=7c732a68674e53edea8d17f9546ad5a2047e0c63985dde9d2592f2bb76fe43eb (想加粉丝群的请先+微信:rosicky311) 下面正片开始…… 【时间线】 00:05 “李时珍” 02:47 我为什么说之前的一次带ppt的播客是这次活动的“预演” 04:20 我的信息源 04:49 平均每天5张图表+1.5个PDF报告 05:43 第一张开始 CapEX 06:19 锤子找钉子 06:41 云厂商份额 07:35 cloud增长 08:06 斩杀线 09:12 capex增长 09:43 setter 30榜单 10:33 标普500 11:01 英伟达对外投资上市公司 11:36 capex增长 12:05 capex vs GDP 12:36 GPU租赁价格 12:57 AI VS 软件 13:29 SpaceX财报 14:04 SpaceX CapEX 14:48 AMD收入构成 15:07 SpaceX收入和利润构成 15:34 电力与GDP相关性 16:04 Jeff Dean的BP 17:19 第一个20页暂停 17:44 又一个标普500 18:10 星际争霸的比喻 19:06 SpaceX CapEX增长 19:29 CapEX vs Sales 20:08 DeepSeek价格 21:26 Token价格趋势 22:12 卖铲子的人 22:55 中国CapEX 23:23 和互联网对比 24:36 Agent带来的Token增长 25:03 VC退出集中度 25:45 Loop象限划分 26:22 现金流 26:56 热门叙事与热门公司的时间gap 27:36 巨大的特斯拉芯片工厂 28:09 “escaped” 28:41 数据中心建设 vs 办公室建设 29:08 meme-AI经济 29:34 毛利对比 30:17 市值排名 30:48 第二次暂停 31:06 meme-梁圣 31:24 CapEX 31:57 估值和ARR倍数 32:24 增加了SpaceX的CapEX 32:44 AI行业价值链 33:09 价值的传导 33:34 斩杀线更新 33:58 Fable5占比 34:27 模型发布频率 35:55 循环融资 36:22 AI采用率 36:37 neocloud双强 36:49 OpenAI ARR (勘误:这里说错了,是443亿美金,不是443b) 37:00 VC2026 37:15 vc投资项目分布 37:35 存储占比 37:54 codex活跃用户 38:17 中国市值最大公司 38:36 开源模型 39:00 模型发布 39:24 第三次暂停 39:35 Anthropic ARR 39:54 Anthropic 估值 40:17 Neocloud 40:34 模型token于spend分布 41:04 cursor退出回报 41:38 英伟达对台投资上市公司更新 41:53 标普500今年TOP10涨幅 42:15 OpenAI token统计 42:48 本地可部署模型持续缩短和sota模型差距 43:51 循环融资 44:06 Brex TOP 25 44:46 Anthropic ARR 44:59 万亿美金俱乐部 45:12 Ramp 8月榜单 45:31 数据中心建设 vs 办公室建设 45:43 头部两家模型厂商的ARR增长 46:17 存储市场份额 46:27 76张图表之后 46:45 回想一下…… 48:02 “叙事”的选择 49:31 扩展到季度、半年、年度 49:55 图表之外还有pdf呢 50:13 skill搞得定吗? 50:41 寻找自己的loop 51:21 “我好和他们告别” 【播客简介】 屠龙之术是一档关注科技、互联网、风险投资的播客, 主播庄明浩是一个游走在互联网和风险投资行业的边缘人士。 其工作多年所积累的认知似乎都成为了某种意义上的”屠龙之术“…… 或许某天再有新的“龙”出现的时候,就是这档播客停更之时。 【ima知识库】屠龙之术VIP报告库 https://ima.qq.com/wiki/?shareId=7c732a68674e53edea8d17f9546ad5a2047e0c63985dde9d2592f2bb76fe43eb

52分钟
1k+
2天前

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