包含赖因德斯出售的上赛季，即24/25财年，以5590万欧元排名第四。

1、足球直播 关键对位二：边路攻防博弈。

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。足球直播新赛季英超首轮，切尔西就将迎来一场硬仗——客场对阵西伦敦德比对手富勒姆。

2、女演员的大瓜：不惜出卖色相，也要整垮竞争对手！

与过去相比，老板本人将更深入地参与俱乐部的日常运营。

3、最后一舞！39梅西世界杯卫冕失败 3进决赛1冠2亚

这些需求拼的不只是成本，更是技术适配、项目交付能力和全球合规功底。

4、活力中国调研行｜常州造“细胞咖啡机”生产干细胞药物，价格仅为进口药的1/70

替代需要时间，良率、产能、产品线都要逐一匹配。

5、“10·2”启源A07追尾事故反思，惨案背后到底谁的错？

但风险并没有消失，只是转移给了设备的所有者。

如果梅西选择沉默，任由裁判用生硬的语气呵斥，极易引发阿根廷球员的情绪失控，甚至导致不必要的黄牌。

这不仅是一次简单的帅位更迭，更是齐达内一段漫长等待后的圆满，成为高卢雄鸡的新帅。

6、南岗 全链条服务助力商户“开门即营业”

前者靠工程能力，后者要靠价格、模型、软件、耗材、版权和场景共同完成。

维尼修斯是巴西前场最锋利的尖刀，突破能力顶级，擅长利用边路冲击力撕开对手防线，是巴西本场最主要的进攻突破口。

7、一场默契3-3！让伊朗队出局，亚洲2队出线，日本澳洲对强队难晋级

风波的收尾看似简单，官方紧急叫停敖尹全部开发计划，还承诺后续不再新增可攻略男主。

【比分预测】 积分形势注定了这场比赛的节奏——克罗地亚主攻，加纳主守。

8、延庆夏都避暑季启动！超500场活动等你体验

Alpha与凸性也不是一件事。

最终结果就是电芯鼓包、安全阀被冲开、电解液泄漏、铜排腐蚀。

只有在一个不一样的分支中钻研、发展，才能够真正在新的赛道成为领先者。

9、到大理采菌子，秀北山就别来了，人车比蘑菇还多！

这套沿用多年的商业模式，如今彻底陷入无解闭环：死守固定男主、迭代常规剧情，只会迎来玩家审美疲劳、流水持续下滑；尝试新增角色、创新人设，又极易引发圈层对立、舆论翻车；依靠暧昧尺度、情绪刺激拉动消费，更是时刻踩在公序良俗与监管的红线边缘。

相比之下，克罗地亚的阵容星光稍显黯淡，总身价约3.87亿欧元，世界排名第13位。

10、广东，为什么“敢”？

西班牙是冠军。

赛前，这位巴萨天才更是霸气喊话：“如果有哪支球队应该感到害怕，那应该是法国队。

1、徐州12名学子成为空军准“飞行员”！他们来自这些高中

达利奇执教的克罗地亚，在过去两届世界杯上分别获得亚军和季军，证明了他们是大赛型球队。

2、毁了两场比赛！女裁判执法世界杯两场均有重大误判，还致一队淘汰

这种路线的优势在于，数据和模型能力具有更大的复用潜力，部分基础能力和工程平台可以同时服务自动驾驶、工业机器人、家庭机器人多个场景。

3、特朗普威胁对仿制药征100%关税，印度药企CEO：只能涨价

在7月22日界面新闻刊发的一条关于耐克渠道调整策略的文章中，耐克集团副总裁、大中华区总经理申凯希（Cathy Sparks）表示从明年1月起，耐克在中国的数字化市场体系将以天猫、京东和抖音上的官方旗舰店为核心，与Nike.com.cn和Nike App共同构成主要的官方数字触点。41岁传奇英雄C罗是否已然不再被需要？巨星自身赛场价值遭到拷问关键胜负手 本场比赛有三方面需要重点关注的地方：一是蒙特斯停赛导致墨西哥后防核心缺席，韩国反击威胁倍增；二是韩国客场作战存在一定变数；三是韩国高位逼抢战术是主打传控的墨西哥最头疼的对手。

4、牢记嘱托 奋力谱写中国式现代化龙江新篇章｜“党建红”引领治理优 “民生暖”绘就幸福景 鹤岗市兴安区以多元共治激活基层治理现代化新动能

那一刻，英格兰手握需要守护的优势，阿根廷则被逼入了本届赛事最难受的境地。

5、这种藏在胃里的细菌，竟是肠癌“推手”！研究发现：肠癌风险升高近200%

”手里的“钱袋子”被封死，传统的杠杆招商模式彻底失灵。

6、消夏丰味美食节开幕，数十家餐饮品牌开启“夏令时”延长营业时间

传统APP架构无法承载智能体自主执行、跨场景联动的核心能力。

据拓竹《2025年中国3D打印趋势报告》的媒体转述，截至2025年底，MakerWorld中国站拥有超过28万名活跃创作者和逾100万个模型，每月仍新增近10万件；拓竹的低门槛建模工具MakerLab则吸引约31万名用户，累计生成260万个原创模型。

与此同时，针对当下的跑步热潮，以及消费者对于运动服饰专业性的要求逐步提高，滔博还推出了以跑步为主题的直营跑步多品店ektos。

7、铁心离队！纽卡队长公然逼宫，6000 万投奔阿森纳

银河原本持有卡塞米罗在美职联的优先签约权，这意味着他们拥有与这名球员谈判的独家权利。

同时公司持续落实“存储+”发展战略，MCU、Driver等模拟新产品逐步渗透工业控制、AIoT领域并实现规模出货，相关产品市场占有率稳步提升，最终带动公司上半年整体营业收入较去年同期实现增长。

8、多地官宣：结婚发钱

与此同时，马竞方面持续传递同一信号：尽管阿根廷人已明确表达了离队意愿，俱乐部今夏不会接受任何价格将其出售。

光计算会成为AI芯片的未来吗？ 相比于光在连接方面的作用，直接用光替代电的光计算，属于更加前沿的技术探索，大规模商业化落地显然还有距离。

在低年龄段，身体发育早、运动能力强的孩子得到的机会，远远多于那些身体还没长开、但可能更有天赋的孩子。

伊恩·艾尔，英国人，1963年出生，现任美职联纳什维尔的首席执行官，2010年至2017年期间曾任利物浦高管。