2023年夏窗，他以7000万欧元的转会费从莱比锡加盟利物浦。

1、b体育网页版 产能增速全球第一，每年新增8.5万片，三巨头同期的年增量最高不过6万片。

决赛次日，西班牙回国。b体育网页版8.66元的发行价算的是第一层账。

2、每日早报！山西高速路况

欧冠卫冕冠军、且再次闯入本届欧冠决赛的巴黎圣日耳曼，支出确实比尤文图斯多，但两年3.672亿欧元的投入也与老妇人的差距不大。

3、官方：加纳乔租借加盟维拉！或包含一定条件下的强制买断条款，曼联用10%二转分成；卫报：卡马文加和贝格被确定为曼联的中场引援目标

中后场方面，范戴克和德容的发挥稳定，是球队的定海神针。

4、这封信，写给2026届高校毕业生

截至7月15日，智谱股价报1707.9港元，市值7948.19亿港元；MiniMax 市值910.11亿港元。

5、40人溺亡？热浪席卷法国，超5700人热死，殡葬业：忙不过来

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。

原因很简单：她的男友马科斯·塞内西，是阿根廷队最后时刻压哨入选的一员。

面对外界对身价的质疑，这位帅气的匈牙利中场用场上的表现狠狠回击。

6、13日凌晨！辛纳3-1逆转兹维列夫夺冠创4项纪录，郭涵煜女双夺冠

耐克曾长期为滔搏贡献超过六成收入，是整个体系最核心的增长引擎。

而光互连自身也在迭代、变革。

7、69岁沈祥福再战绿茵，做河北青训领航人

一旦尾部风险发生，对冲收益不仅可以弥补主仓损失，还能为危机后的低价抄底提供现金。

今年4月，西班牙曾将头名拱手让人，如今凭借一座世界杯冠军奖杯，他们再次坐稳了世界第一的交椅。

8、冠军战还没打就想着卫冕：爱尔兰人的自信还是狂妄？

但威廉姆斯最终选择与圣马梅斯球场续约至2035年，枪手随即转向引进了埃泽和马杜埃克，两人分别从水晶宫和切尔西加盟，总花费1.2亿英镑。

而如今，暂缓出资，让不少箭在弦上的GP们变得有些焦急。

就在同一天，特斯拉股价在盘后交易中下跌约4%，随后的交易日更是暴跌13.5%。

9、风向变了不放弃了，开拓者媒体人说的话，算不算管理层的心声

这场决赛的渊源，早在19年前便已埋下。

面对英格兰等强敌，阿根廷多次在落后局面下完成逆转，展现了无与伦比的“逆风球能力”和冠军底蕴，梅西在右路送出两次助攻，梅西是进球机器更是助攻大师。

10、专业买家省心之选！2026Intertextile秋冬面辅料展【贵宾买家年卡】申请开启

达利奇的球队主打4-2-3-1阵型，核心是中场控制和防守反击。

在《零售圈》看来，一方面，7-Eleven需要用存放周期相对长，口味相对不易出错，更大众化的新鲜零食来为自己投石问路，相比之下，烘焙类食品相较于辣味食品和肉制食品更容易被消费者接受，包装也更为便利，能够在7-Eleven便利店的重点货架上集中展示，而辣味食品和肉制品则需要占用冷柜，压缩传统SKU中的高销量产品；另一方面，烘焙类产品制作相对简单，传统的白案烘焙店铺即可胜任，在成本方面也可以控制。

1、75岁还炒五胎？张纪中牡丹花下败光路人缘，武侠教父终成笑柄

目前葡萄牙教练已经公布了季前赛第一周的阵容，之后可能还会有一些新人和从世界杯比赛归来的球员加入。

2、官方：上海海港签下两名外援

今年上半年，公司预计实现营收19.30-20.80亿元；经调整净亏损14-17亿元。

3、2026亚运会女足分组出炉！中国与菲律宾、乌兹别克斯坦、中国香港同组

这种“只争尊重，不争对错”的处理方式，既没有让裁判下不来台，也没有给自己招致黄牌，反而在交涉结束后，让裁判对阿根廷球员的沟通语气明显收敛。筑牢安全防线 护航平稳发展——岳阳市国资公司开展安全生产联合消防演练暨“安全宣传咨询日”活动本届世界杯，皇马最初仅有9名上赛季阵容中的球员出征，分别是库尔图瓦、吕迪格、楚阿梅尼、巴尔韦德、居莱尔、贝林厄姆、卜拉欣、维尼修斯和姆巴佩。

4、一组保时捷发光字母招牌现身明尼阿波利斯，无底价拍卖

英格兰方面，赖斯太累了，应该可以轮换休息了，凯恩和贝林厄姆6球并列射手榜第三，也有望出战，搏一搏金靴机会。

5、这个夏天结束后，张水华的流量还能变现吗？

公司 2025 年业绩公告显示，全年产品收入下降 5% 至 3.814 亿美元，付费订阅用户增长超过 4% 至 309 万以上，年度活跃用户基本持平；管理层同时承认，对 2025 年公司总销售额缺少增长感到失望。

6、中超5月迎魔鬼赛程：一个月7轮比赛，上海申花进入追分关键期

预测葡萄牙2-1小胜克罗地亚成功晋级，次选1-1。

本届世界杯已见证了诸多传奇球星的谢幕，莫德里奇、c罗、诺伊尔、萨拉赫、奥乔亚以及j罗等人虽结局各异，但大多得以在场上完成告别。

后两层，市场给不给、给几层，决定了一签赚3000还是2.2万。

7、揪心！中国男篮希望之星又受伤，常年伤病缠身，一赛季只打19场球

以存储行业龙头公司德明利（001309.SZ）为例，公司业绩预告显示，上半年公司预计实现营收160亿元至180亿元，同比增长289%至338%；归母净利润57亿元至65亿元，同比扭亏为盈。

据资料记载，在亚马尔刚出生不久时，梅西曾在巴萨的俱乐部活动中抱起年幼的他，甚至为他洗过澡。

8、7座桥梁被炸！美伊日夜互轰，特朗普：不怕升级，但要付出代价

一家IP公司的持续演进 王宁在股东大会上表示，现阶段最重要是积累泡泡玛特对乐园运营的能力，包括对内容、体验和复杂运营细节的理解。

正如一位业内人士所说：“一个机柜甚至几个机柜组成一个超节点，其中有独立软件、存储，它们需要架构解耦，这样才能避免资源的浪费。

综合来看，本场比赛大概率是小比分格局，巴西小胜或两队平局是最有可能的结果，很难出现大比分悬殊局面。

到今年，这种横向扩张模式正遭遇边际效益递减。