通过协议转让先拿下上市公司控制权，后续再逐步注入资产完成证券化，是一条效率更高、确定性更强的路径。

1、英亚体育 阵容方面，主帅蒂亚乌同样排出4-3-3阵型，锋线上杰克逊居中串联，马内和萨尔两翼齐飞，三人的速度优势非常明显。

于是，它要想做一个独立的AI硬件，让自己的AI灵魂，拥有一具身体。英亚体育全队总身价高达10.1亿欧元，FIFA世界排名第8位，是本届世界杯的夺冠热门之一。

2、NS2全新手柄爆料！还有《塞尔达传说》限定主机

到了今年这次世界杯，情况突然变了，各行各业的大佬集体"出差"。

3、男篮速递！郭士强确认不搞归化，赵继伟缺席生死战，中国小组垫底

更值得注意的是盈利质量，谷歌云期内经营利润88.14亿美元，去年同期仅为28.26亿美元，经营利润率达到35.59%，从2025年Q2的20.74%连续多个季度爬升。

4、中国男篮再次开启集训！增补楔李永炜，时长近2个月，铁打的高诗岩！

最成功的两笔引援是莫德里奇和拉比奥特，此外在出售球员方面也做出了一定成绩，赖因德斯、佳夫、特奥、奥卡福基本上都卖到了彼时的市场价。

5、以军称准备在约旦河西岸发动大规模军事行动

OpenAI到底在下一部怎样的大旗？ 2024年，OpenAI植入了苹果手机。

这让智谱更早押注在Coding上，同时强调模型基础设施和企业服务，在Anthropic崛起后享受到了生产力场景爆发的红利。

美加墨世界杯四分之一决赛，阿根廷队历经苦战，凭借阿尔瓦雷斯在加时赛的制胜进球淘汰瑞士，昂首挺进半决赛。

6、PJ塔克如何二进宫杀回NBA，你知道这五年我经历了什么？

对于一支刚刚经历了疯狂引援夏天的球队来说，这趟南半球之旅，或许比结果本身更重要。

家庭场景仍以机构合作和试运营为主。

7、AI能拿菲尔兹了？Grok摸鱼8分钟，破解30年数学猜想！马斯克秒转

到今年，这种横向扩张模式正遭遇边际效益递减。

在新店的空间设计上，Wagas跳出传统轻食空间的清冷感，通过红色瓦片、木质船型长椅等元素，搭配自然材质与明亮色调，营造出北欧小镇般温暖而包裹的氛围。

8、争议！英格兰1.2亿巨星3次与阿根廷球员捂嘴交谈 未染红遭质疑双标

从大二到大三，照着这个节奏走，基本不会错过窗口。

当然，江苏单店的试水，可以看作是7-Eleven 用烘焙类新鲜零食来投石问路，可这仅仅是一个开始。

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。

9、尼克斯4-0骑士！米切尔空砍31分，唐斯立大功，不愧拿5300万年薪

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。

无论胜负，这位39岁的老将都已经在书写着不老的童话，本届世界杯8球4助足以帮助梅西竞争2026年金球奖。

10、白鹿单飞，何瑞贤落单，于正会捧赵晴，一言惊醒梦中人

至于新中卫，巴萨眼下并不将其视为优先事项。

加拿大的战术就是快打旋风，主帅马什推崇高位逼抢，丢球后就地反抢，压缩对手后场出球空间，迫使对手频繁长传丢失球权。

1、意法半导体Q3营收指引未达市场预期，欧股股价暴跌17%｜财报见闻_网易订阅

拉什福德上赛季租借效力巴塞罗那，各项赛事出战49场，交出14球11次助攻的成绩单。

2、“以赛促训、以赛强能” 厦门首次举办森林消防员技能竞赛

一方面，Anthropic也好，DeepSeek、月之暗面、MiniMax也罢，目前都没有发展出互联网大厂那样规模庞大的组织，因此会更容易形成内部对齐。

3、北京国安U12梯队正式组队

2025年全年，格林布什矿山产出135万吨锂精矿，产能规模占到全球硬岩锂矿总产量的近两成。太适合广东队！CBA全明星中锋被多队疯抢，朱芳雨有望完成截胡？此次更新只升不降，既奖励了球员们在世界杯上的发挥，也反映了今夏转会市场的最新动态。

4、莫兰特观战！李月汝5分钟高效4+2 遭恶犯肘击下半场未登场飞翼险胜

整个FIFA世界杯赛程周期内，乐事围绕消费者“看球、欢聚、分享”的行为路径布局品牌触点，将世界杯的激情与消费者的真实生活场景紧密连接。

5、申花主场青岛海牛足协杯比赛 有CCTV5直播

关于转会费的议论。

6、一年810万！艾顿做出了决定！东契奇：我需要一个顶级中锋

月之暗面随后于6月29日发布官方声明，明确所有融资活动仅由公司直接负责，未经公司批准的老股交易一律无效。

本4已与球队协商解约，即将加盟卡塔尔联赛，在此之前，他们将在米兰内洛与体能教练一起单独训练。

前十五分钟，西班牙控球率达到68%，如实反映着比赛走势。

7、过年了，山东孩子的噩梦又开始了

赛后，球迷的一句调侃在社交网络上引发强烈共鸣：“八年前，姆总拿金球奖只是时间问题；八年后，姆总拿金球奖时间是个问题。

朋友们，在一个多模态模型赛道上同时获得五类投资方认可的公司，屈指可数啊，难度不亚于集齐七颗龙珠。

8、什么？！央视知名节目主持人爆料：我是半个绍兴人！网友：我是绍兴人我都不知道....

失去了中场的梳理与拦截，法国队的攻防转换完全脱节，豪华的锋线群陷入了孤立无援的境地。

为什么巨头们都在疯抢超节点？ 道理很简单：算力需求正在从“单机八卡”向“万卡/十万卡”的集群演变。

但考虑到米兰锋无力的现状，阿莱格里很有可能会对他进行重点考察，将在季前赛安排其亮相。

今年夏天，利物浦的锋线面临重建。