对于正值当打之年的前锋来说，踢不上比赛是无法接受的，所以他萌生了回欧洲的想法。

1、巴登体育 靠这份报告，下一段实习进了中厂。

这已是荷兰人加盟巴萨七年来，伤病簿上最新的一笔。巴登体育英格兰人与俱乐部的合同截止到2027年，已经进入合同年。

2、氯雷他定的王牌搭配，能应对全身十多种瘙痒，便宜又实用

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。

3、历史之最！哈兰德亚马尔身价上涨至2.2亿欧 姆巴佩2亿

综合来看，法国队整体实力更胜一筹，正常发挥下晋级概率更大。

4、记者蹲点儿——营盘村：守河有责，一户都不落

2028年欧洲杯和2030年世界杯再见，齐达内能否带领高卢雄鸡展翅高飞，我们拭目以待，以法国队的人员配置，没有冠军等于失败，齐达内的执教压力还是蛮大的。

5、隆戈丨马兹拉维是米兰首选目标

外界盛传哈兰德未来有望加盟皇家马德里与贝林厄姆重聚，但在那之前，迈阿密的这片绿茵场才是他们当下的交汇点。

”斯卡洛尼在发布会上说完这番话后，泪洒现场。

他当年提出的“单分子多靶点”思路，后来成为礼来研发替尔泊肽的核心方法论。

6、都不讨好！西班牙六台发起梅罗史上最佳投票，两方球迷都吐槽荒谬

在战术层面，他是主帅最信赖的“万金油”。

所以凸性投资不能靠“可能涨很多”的想象，而是切实需要足够大的潜在收益，还不能高估自己的成功概率。

7、缺啥来啥！火箭队聘请新助教，主抓投篮技能，堪称今夏最佳引援？

分情况来看，若尤文、米兰和罗马3队最终同积71分，那么尤文在此小联赛积分榜积6分排名第1，直接交锋净胜球+1，联赛总净胜球+27；米兰积6分第2，直接交锋净胜球+1，总净胜球+19；罗马2分第3；最终尤文和米兰晋级。

从薪水和年龄角度计算，三人也将为米兰腾出税前超过千万欧元的薪资开支，以及拉比奥特、福法纳合计约4500万欧元的潜在转会收入。

8、炸锅！美国盟友集体倒戈，伊朗一招让中东格局彻底洗牌！

更为致命的是，球队在情感惯性与战术现实之间产生了撕裂。

一边是志在卫冕的潘帕斯雄鹰，一边是创造历史的非洲黑马，谁能挺进八强？ 阿根廷总身价达到8亿欧元，FIFA排名高居世界第2，斯卡洛尼沿用了夺冠赛季的4-4-2阵型。

17岁的亚马尔在帮助西班牙夺冠后，成为转会市场历史上身价最高的球员之一。

9、郑智刚解禁复出！就有望为西海岸敲定重量级新援入队，值得期待

Counterpoint数据显示，2026年第二季度华为国内市场份额达到23%，创下自2020年第四季度以来新高。

今年一月起，由于沙特联赛的外援注册限制，努涅斯被移出了联赛报名名单，出场仅限于亚冠赛事，比赛时间严重受限。

10、心衰患者吃半年“护心餐”，血脂大降！《Nutrients》最新：单纯地中海饮食 vs 联合Omega-3，24周干预，VLDL骤降

那么，全球头部资本为何不惜重金押注中际旭创？ 33家资本扎堆投资，中际旭创凭什么？ 中际旭创的主营业务是光模块，是当之无愧的“光模块一哥”。

全年看，入门级产品出货量增长 26%，拓竹以 37% 的份额位居第一。

1、加强防范！市防汛办、市气象局发布城市内涝积水风险提示！

法国中场拉比奥预计将继续占据一个主力后腰位置，年轻中场里奇也将获得稳定的轮换机会。

2、日本自民党再曝丑闻，多人称被迫“进贡”大额资金

更致命的是体能问题，莫德里奇首轮不到60分钟便被换下，次轮面对弱旅也踢得磕磕绊绊。

3、赛事在变，球队在变，奖杯也在变，唯独不变的是球员！

更让球迷难以释怀的是米兰近年从比甲联赛引援的糟糕历史，德凯特拉雷与亚沙里两笔投资先后宣告失败，3500万到4000万欧元的投资规模，对于一个尚未经受过五大联赛检验的小将而言，确实风险过高。打几分？世界杯亚足联球队成绩出炉：2队晋级5队淘汰1队待定翻开Play Time的公开投资组合会发现，这家机构的野心远不止一笔投资。

4、闻所未闻：许家印居然是这样到基层视察的！

马竞不盲目追求超级巨星，而是致力于培养“硬仗型球员”。

5、习酒总经理助理谢远东主动投案：历经三任董事长，曾任职集中采购等关键岗位

英伟达、谷歌、阿里、华为都在布局机器人基础模型、仿真平台和世界模型。

6、不添堵！30岁庆生+新主场首胜！长春亚泰2-1大连鲲城，谭龙建功

模型不再只是回答问题，而是在“干活”。

红鸟财团在赛季收官战辞退主教练阿莱格里和3名管理层人员后，老板卡迪纳莱和顾问伊布承诺会在一周内敲定新帅和新总监。

尽管面临激烈的队内竞争，巴萨仍坚信卡萨多具备可观的长期价值，因此并不急于降低要价。

7、王楚钦乒超联赛首秀单打爆冷被徐海东逆转！

击中门框方面，也只有费尔南德斯和埃斯特旺的3次以上排在他前面。

对涉事企业而言，拖得越久，信任消耗越大，最终付出的代价越高。

8、周六，赴“荆”相会！

但全固态电池的实际情况远比车企展台上的数据复杂。

比如，略弯下腰，你会看到钟楼里抱着钟摆荡秋千的两只LABUBU，每个整点，钟楼顶端的小窗会打开，窗口会有一只LABUBU奏乐；在嘉年华游戏「弹球奇遇记」的帐篷边缘，每个小球都画着对应的THE MONSTERS家族成员。

基米希进攻时内收到中场参与组织，极大丰富了中场层次。

新易盛2025年归母净利润增速超过235%，势头凶猛；天孚通信凭借垂直整合模式在毛利率上同样表现亮眼。