当球王们脱下球衣、走进硅谷的会议室，他们究竟看中了什么样的生意？ 一、“球王”投资“AI教母” 梅西跨界要从2022年10月说起。

1、kaiyun.com 而耐克此举的核心目的在于“控价”。

西班牙以5胜1平的战绩晋级四强，六场比赛打入11球仅失1球，场均失球0.17个为四强最低，一度创造了649分钟的零封纪录，直到1/4决赛对阵比利时才被打破。kaiyun.com信息差可以靠主动去填，资源差不能完全抹平，但能缩小。

2、高温炙烤下的德国人和基础设施

球员踢球就是工作，去薪水更高的沙特联赛也无可厚非，因为球员的职业生涯是吃青春饭，也就短短十多年。

3、广货行天下｜太阳能公主非洲种光，深圳光伏造福千万无电家庭

西班牙后卫库巴西凭借世界杯上的表现上涨2000万欧元，身价来到1亿欧，成为当今足坛并列身价最高的后卫。

4、再见广东！王少杰租借到期，下赛季回北控

米兰进攻端的低迷同样不容忽视。

5、结局来了！霸占车位硬扛8天不道歉！央视一锤定音，停职只是开始

米兰与阿莫林的谈判已经进入非常深入的阶段，双方距离达成协议只有一步之遥。

它对模型能力、安全和复杂任务的持续投入，不是要「做一个更好的聊天机器人」，而是要做能在很多事情做得比人更好的助手产品。

国产乙游的核心竞争力，从来不是精致建模，而是长期陪伴构建的专属情感羁绊。

6、河南省郑州航空港经济综合实验区原党工委委员、管委会副主任张红军被开除党籍和公职

由于阿贾克斯将承担特尔施特根工资中的相当大一部分，需要有精确的法律文件来应对跨境金融监管。

TCL的赞助策略则更加激进，直接同时签下了西班牙、阿根廷、德国等多支强队，决赛直接变成了"TCL德比"。

7、2026年第9周：酒行业周度市场观察

今年夏天，对于争四失败的米兰来说注定会是混乱的一个转会窗。

这也意味着，AI的学习素材将不再局限于文字、图片、视频等间接信息，而是可以直接通过神经信号理解人类的认知状态。

8、中超惨案诞生：山东泰山踢疯了，狂胜辽宁铁人，巴西外援独造3球

新的米兰管理层采用金字塔结构，卡迪纳莱位于塔尖，拥有所有战略决策的最终决定权。

这位25岁的中场将加盟利雅得胜利，与C罗和菲利克斯成为队友。

看完对两支球队的战术分析后，相信广大球迷心里会得出自己的答案。

9、中国U17女篮斩获世锦赛第六名创近十年最佳

我们从小一起长大，如今能共同享受这些时刻，这种体验无与伦比。

但身价差距主要集中在锋线双星，整体阵容深度两队其实相差不大。

10、CBA：辽篮张陈治锋特训开发三分，郭昊文将征战夏季联赛，上海三年顶薪续约李弘权，广东留下张文逸

对于米兰而言，加入回购条款是必要的，他们需要对卡马尔达保留最终控制权。

如今种种迹象表明，他在切尔西的日子确实走到了尽头。

1、为什么大家都不建议普通人住别墅？_网易订阅

小蜘蛛天外飞仙，劳塔罗锁定胜局 少打一人的瑞士队被迫全线退守，在剩余的近20分钟常规时间以及整个加时赛中，他们几乎凭借顽强的意志硬抗了阿根廷队一个多小时。

2、云南大学拟撤销两个本科专业，国家级一流专业也在列，原因很现实

也因此，自7月以来，全球AI算力产业链均经历了一轮深度回调。

3、WAIC华山论剑，罕见AI新共识：机器人ChatGPT时刻，最快两年！

值得一提的是，国际足联赛前为保护世界排名前四的球队设计了分区规则，确保小组第一出线后不会过早相遇。宋志平：大企业带头自律是终结行业内卷的第一推动力这看似一步之遥的距离，恰恰是其估值逻辑的“阿喀琉斯之踵”。

4、聂远老婆参加女儿毕业礼，3岁小女儿意外抢镜，这大眼睛也太灵了

最大的隐忧是中锋努涅斯，由于本泽马加盟利雅得新月后被挤出大名单，近3个月缺乏正式比赛，比赛状态和射门感觉都需要时间找回。

5、德国曼恩在2026年Busworld东南亚展上首秀高品质大巴底盘解决方案

在这9场比赛中，红黑军团取得了7胜1平1负的战绩，在27个可用积分中拿到22分，场均拿到2.44分已经是争冠级别。

6、杜华喊话邹市明去看病！直言不改变只能离婚，拳王面子里子都没了

国务院研究室2026年3月的数据显示，行业需供比已经达到5.2比1。

真正的凶手，是一去不返的碳积分、不可停止的AI消耗，以及正悄悄积聚的担保黑洞。

02 瓶颈终会到来 迪马基离开的两年前，礼来就已经遭到了命运的重击。

7、上海医药(02607)：决定终止注射用丹酚酸A的临床试验及后续开发

身边的人都在卷，但卷的前提是"知道往哪卷"。

里尔给他的标价是8000万欧元，巴黎圣日耳曼、曼联、曼城和利物浦都在密切跟进。

8、2026参博会

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

我们不想再跟他们做生意了，立刻。

SEMI数据显示2024-2027E年全球半导体设备市场将持续扩容，市场规模将从2024年的1166亿美元增长至2027E年1556亿美元。

从23万元到1.5万亿市值，从农村修配厂到全球光模块霸主，王伟修和刘圣共同书写了一个关于眼光、胆识和信任的故事。