嗨~~大家晚上好呀！今天是2026年6月18日，星期四，欢迎准时收听晚安咖啡，我是你们的主播安安。今晚想和你聊聊最近商业科技圈的新鲜事，一起用轻松的方式捕捉世界的脉搏。准备好了吗？让我们开启今晚的分享吧！
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据CNBC最新消息，谷歌Gemini项目的联合负责人Noam Shazeer已经离职，并加入了竞争对手OpenAI。Shazeer是谷歌人工智能领域的重要人物，曾深度参与Gemini大模型的研发工作。此次他离开谷歌加盟OpenAI，标志着AI人才争夺战的进一步升级。目前OpenAI尚未公布Shazeer的具体职务以及他将负责的具体项目。谷歌方面也未对此人事变动发表正式声明。Shazeer此前在谷歌长期从事语言模型研究，是早期Transformer架构的关键贡献者之一，他的离开对谷歌人工智能团队构成了一定影响。
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据CNBC报道，美国前总统特朗普公开表示，英特尔公司将与苹果公司合作，在美国本土进行芯片设计。这一消息发布后，英特尔股价在当天交易中上涨了9%。特朗普并未透露双方合作的具体细节，但强调该合作将聚焦于美国境内的芯片设计业务。英特尔近年来一直致力于重振其芯片制造和设计能力，苹果则正在寻求供应链多元化。此次合作表态被视为对英特尔美国本土战略的重要支持。
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据科技媒体The Verge在6月18日的报道，苹果首席执行官蒂姆·库克公开表示，公司目前在内存方面的开支已经达到不可持续的水平，因此苹果计划上调产品售价。库克没有具体说明哪些产品将涨价，但指出内存成本持续攀升给公司造成了巨大的财务压力。这一表态意味着消费者可能很快需要为搭载大容量内存的Mac、iPad或iPhone支付更高费用。库克强调，涨价并非出于盈利最大化考虑，而是为了应对零部件成本的结构性上涨。苹果尚未公布具体调价幅度和时间表，但外界预计最快将在下半年新品发布时同步调整。
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据cnBeta报道，太空探索技术公司SpaceX完成了一项价值约600亿美元的收购交易，这一收购让四名二十多岁的创始人一跃成为亿万富翁。这四位创始人均为初创企业的联合创始人，年龄均在二十多岁，通过此次收购获得了巨额财富。SpaceX此次收购的标的企业具体信息尚未完全披露，但交易金额被确认为600亿美元级别，创下该领域近期收购案的新高。此次收购不仅为SpaceX带来了关键技术或团队，也让四位年轻创始人的个人资产迅速超过十亿美元门槛。目前，SpaceX方面未就收购细节及四位创始人的具体身份发表更多评论，但这一造富案例再次引发外界对商业航天领域创业回报的高度关注。
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据The Verge报道，人工智能公司Anthropic近期受到一项出口规则的冲击，但该规则的具体内容和适用范围让业界普遍感到困惑。这项出口限制措施被指缺乏明确解释，导致Anthropic在跨境技术合作与业务拓展中面临不确定性。该规则可能涉及对先进人工智能模型或核心技术参数的出口管控，但官方尚未发布清晰的合规指引和实施细则。作为开发Claude系列模型的主要AI企业，Anthropic的部分海外项目和技术交付可能因此受阻。目前该公司正在全面评估该规则对其运营的实际影响，并积极寻求与相关监管机构沟通，以明确具体要求和执行标准。行业内部其他企业也对这一模糊的出口管制措施表达担忧，认为规则的不透明性不仅影响Anthropic的个体业务，还可能波及整个AI领域的国际协作与技术创新节奏。
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据科技媒体36氪6月18日报道，微软正在考虑接入中国人工智能公司DeepSeek的相关模型。DeepSeek由幻方量化创立，其大模型在编程和数学等领域展现出较强性能，并在全球范围内获得关注。微软此举旨在评估将DeepSeek整合到旗下云服务、办公软件等AI生态系统中的可能性，以扩展其模型选择范围。目前这一合作意向仍处于初步讨论阶段，双方尚未披露具体的接入方式、产品落地计划以及时间表。微软此前已深度绑定OpenAI，而此次对DeepSeek的接触显示出其在多元AI模型布局上的探索。
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据晚点LatePost报道，钉钉新任CEO陈宇森于2026年6月18日发布了上任后的第一封全员信。这标志着阿里巴巴旗下企业协作平台钉钉正式完成管理层交接。在全员信中，陈宇森围绕钉钉未来的战略方向、产品迭代以及团队协作等核心议题与全体员工进行了沟通。他重申了钉钉致力于服务企业数字化转型的根本使命，并重点提及在人工智能技术应用和平台生态建设方面的持续投入。陈宇森强调，钉钉将继续深化与各行业企业的连接，提升产品的智能化和易用性。这封全员信被视为陈宇森就任后对钉钉发展路径的初步明确。
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据晚点LatePost报道，国内AI绘画平台Liblib的母公司已于近日完成近3亿美元的新一轮融资。这笔融资的金额在当前国内AI应用领域属于较高量级，被市场视为一个“大标的”。目前关于具体投资方和公司估值的细节尚未对外披露。Liblib是一款面向大众的AI图像生成工具，其母公司凭借该平台在用户规模和商业化上的进展，获得了资本方的关注和投入。
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据量子位报道，今年6月18日，北京正式建成了一座人工智能工厂，其算力规模目标达到10万P，即每秒10万千万亿次浮点运算；同时，该工厂每日可产出10万亿Token，用于大模型训练与推理。这座AI工厂采用集中式算力基础设施模式，旨在为区域内的人工智能企业提供高密度、低延迟的计算服务。工厂的建成意味着北京在智算中心布局上迈出关键一步，其产能将直接支撑大规模语言模型和多模态模型的迭代。目前，工厂已进入试运营阶段，后续将根据实际负载逐步扩充算力节点，最终实现10万P的峰值能力。这一数字相当于数十个传统数据中心的总和，使北京成为国内AI算力密度最高的城市之一。
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据虎嗅24小时消息，6月18日，工业和信息化部、国家发展改革委、商务部等八部门联合发布《关于加快“人工智能+消费”发展的实施意见》。该意见明确提出，将推动人工智能技术在消费领域深度应用，重点围绕智能家居、智能穿戴、智能零售、智能出行等场景，促进AI技术与消费品的融合创新。意见要求，到2027年，初步建成人工智能消费应用标准体系，培育一批具有全球竞争力的智能消费产品和典型应用场景。在具体措施上，八部门提出要鼓励企业开发搭载大模型、具身智能等技术的消费终端，支持在购物中心、社区便利店等场所部署AI导购、无人结算等智能设施，并推动人工智能在个性化推荐、消费信用评估、售后智能客服等环节的规模化应用。同时，意见强调将加强数据安全与隐私保护，建立人工智能消费应用的分级监管机制，防止算法歧视和过度营销。此外，相关部门将设立专项资金，对研发智能消费产品的企业给予税收优惠和融资支持，并计划在京津冀、长三角、粤港澳大湾区等区域率先建设一批“人工智能+消费”应用试点城市。
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好啦，今天的节目到这里就结束啦！感谢你今晚的陪伴，希望这些温暖的分享能给你带来一份好心情。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！
Hey everyone, good evening! Today is Thursday, June 18, 2026. Welcome to Goodnight Coffee. I’m your host, An’an. Tonight, let’s chat about the latest buzz in the business and tech world, catching the pulse of the globe in a relaxed way. Ready? Let’s kick off tonight’s share!
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According to the latest from CNBC, Noam Shazeer, co-lead of Google’s Gemini project, has left the company and joined rival OpenAI. Shazeer was a key figure in Google’s AI efforts, deeply involved in developing the Gemini large model. His move to OpenAI marks an escalation in the AI talent war. OpenAI hasn’t yet announced his specific role or the projects he’ll lead. Google has also remained silent on the personnel change. Shazeer had long worked on language model research at Google and was a key contributor to the early Transformer architecture. His departure is a notable blow to Google’s AI team.
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CNBC reports that former U.S. President Donald Trump publicly stated that Intel will partner with Apple to design chips on U.S. soil. Following the announcement, Intel’s stock rose 9% in trading that day. Trump didn’t reveal specific details of the collaboration but emphasized it would focus on chip design within the U.S. Intel has been working to revive its chip manufacturing and design capabilities, while Apple seeks to diversify its supply chain. This statement is seen as a significant endorsement of Intel’s domestic strategy.
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According to tech media The Verge on June 18, Apple CEO Tim Cook publicly stated that the company’s spending on memory has reached unsustainable levels, prompting plans to raise product prices. Cook didn’t specify which products would see price hikes but noted that rising memory costs are putting immense financial pressure on the company. This suggests consumers may soon pay more for Macs, iPads, or iPhones with larger memory capacities. Cook emphasized that the price increase isn’t about maximizing profits but addressing structural increases in component costs. Apple hasn’t announced specific price adjustments or timelines, but analysts expect changes as early as the next product launch later this year.
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According to cnBeta, SpaceX has completed an acquisition worth approximately $60 billion, turning four founders in their twenties into billionaires. The four young co-founders of a startup have amassed massive wealth through this deal. Specific details about the acquired company haven’t been fully disclosed, but the transaction amount is confirmed at the $60 billion level, setting a new high for recent acquisitions in this sector. The deal not only brings key technology or talent to SpaceX but also pushes the four young founders’ personal assets past the $1 billion mark. SpaceX hasn’t commented further on the acquisition details or the founders’ identities, but this wealth-generation story has once again drawn attention to the returns in the commercial space industry.
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The Verge reports that AI company Anthropic has been hit by an export rule, but the rule’s specific content and scope have left the industry puzzled. The export restriction is criticized for lacking clear explanation, creating uncertainty for Anthropic in cross-border tech cooperation and business expansion. The rule may involve controls on advanced AI models or core technical parameters, but official guidelines and implementation details remain unclear. As the developer of the Claude series, Anthropic may face delays in some overseas projects and tech deliveries. The company is currently assessing the rule’s actual impact on its operations and actively seeking communication with regulators to clarify requirements and enforcement standards. Other industry players have also expressed concerns about the vague export controls, believing the lack of transparency not only affects Anthropic but could disrupt international collaboration and innovation pace across the entire AI field.
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According to tech media 36Kr on June 18, Microsoft is considering integrating models from Chinese AI company DeepSeek. Founded by High-Flyer, DeepSeek’s large model has shown strong performance in coding and mathematics, gaining global attention. Microsoft’s move aims to evaluate the possibility of incorporating DeepSeek into its AI ecosystem, including cloud services and office software, to expand its model options. This collaboration interest is still in early discussions, with no details on integration methods, product rollout plans, or timelines. Microsoft has a deep partnership with OpenAI, and this approach to DeepSeek signals its exploration of a diversified AI model strategy.
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According to LatePost, DingTalk’s new CEO, Chen Yusen, released his first company-wide letter on June 18, 2026, marking the official management transition at Alibaba’s enterprise collaboration platform. In the letter, Chen communicated with all staff on key topics such as DingTalk’s future strategy, product iterations, and team collaboration. He reaffirmed DingTalk’s fundamental mission to serve enterprise digital transformation and highlighted continued investment in AI technology applications and platform ecosystem building. Chen emphasized that DingTalk will deepen connections with businesses across industries, enhancing product intelligence and ease of use. The letter is seen as an initial clarification of DingTalk’s development path under his leadership.
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According to LatePost, the parent company of domestic AI image-generation platform Liblib has recently completed a new funding round of nearly $300 million. This amount is relatively large for China’s AI application sector, regarded as a “big deal” by the market. Specific details about investors and the company’s valuation have not been disclosed. Liblib is a consumer-oriented AI image-generation tool, and its parent company has attracted capital attention due to user scale and commercialization progress.
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According to QbitAI, on June 18, Beijing officially inaugurated an AI factory with a target computing power of 100,000 P (100,000 petaflops) and a daily output of 10 trillion tokens for large model training and inference. The factory adopts a centralized computing infrastructure model to provide high-density, low-latency computing services for local AI companies. Its completion marks a key step in Beijing’s smart computing center layout, directly supporting the iteration of large language and multimodal models. The factory has entered trial operations, with plans to gradually expand computing nodes to reach a peak capacity of 100,000 P—equivalent to dozens of traditional data centers combined—making Beijing one of the cities with the highest AI computing density in China.
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According to Huxiu 24 Hours, on June 18, eight government departments including the Ministry of Industry and Information Technology, the National Development and Reform Commission, and the Ministry of Commerce jointly issued the “Implementation Opinions on Accelerating the Development of ‘AI + Consumption’.” The document explicitly aims to deepen the application of AI in the consumer sector, focusing on scenarios such as smart home, smart wearables, smart retail, and smart mobility, promoting the integration of AI technology with consumer products. By 2027, the goal is to initially establish a standard system for AI consumer applications, cultivating globally competitive smart consumer products and typical application scenarios. Specific measures include encouraging companies to develop consumer terminals with large models and embodied AI, deploying AI shopping assistants and unmanned checkout facilities in malls and convenience stores, and scaling AI in personalized recommendations, consumer credit assessment, and after-sales smart customer service. The opinions also emphasize strengthening data security and privacy, establishing a tiered regulatory mechanism for AI consumer applications to prevent algorithmic discrimination and excessive marketing. Additionally, special funds will be set up, with tax incentives and financing support for companies developing smart consumer products, and pilot cities for “AI + Consumption” will be first built in regions like Beijing-Tianjin-Hebei, the Yangtze River Delta, and the Greater Bay Area.
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Alright, that’s all for tonight’s show! Thank you for spending this evening with me. I hope these warm shares bring you a good mood. If you enjoy our program, feel free to subscribe and share it with your friends—it really helps us out. See you next time!
