中后场方面，范戴克和德容的发挥稳定，是球队的定海神针。

1、ky体育 他将球队0比2不敌西班牙的半决赛失利，归咎于战术和技术层面的失误。

一次错失机会，不会随着终场哨响就烟消云散——它会被人无限放大。ky体育“唯一需要考量的因素就是他的伤势，这个问题已经伴随他好几场比赛了。

2、克萨韦尔·施拉格自由身加盟诺丁汉森林，成格拉斯纳时代首签

这种判断，比围绕市场寻找机会要更长线、更母题。

3、612马力史上首款全轮驱动！F1全新安全车匈牙利站正式上岗

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。

4、国际足联发声：对世界杯决赛展开调查

阿德耶米的转会费只有2200万欧元，放在当今足坛的行情里，这个数字近乎不可思议。

5、诺丁汉森林官宣签下哈维·施拉格 自由身加盟与格拉纳斯重聚

该产品适用于颈段脊髓损伤导致四肢瘫痪、手部无法完成抓握动作的患者，通过微创手术将电极放置在硬脑膜外采集运动意图，再联动外部功能性电刺激设备带动手部完成抓握。

湖南裕能240亿扩产、雅化集团津巴布韦扩产均已公告。

过去几个赛季，米兰在管理层面的混乱一直是球队成绩不稳定的重要原因。

6、甘州区总工会线下招聘活动火热开展_网易订阅

财务成绩单：营收涨了，利润缩了 得益于汽车业务的表现，特斯拉在二季度的营收盘子，表现很不错。

皇马2025年8月以4500万欧元将这名阿根廷国脚从河床带到伯纳乌，签约至2031年。

7、男篮23人名单出炉！李悦洲入选，杨瀚森王俊杰却缺席海口热身

自从加入巴萨以来，能在一线队完成首秀并踢上几分钟，一直是我梦寐以求的事。

AI消除、AI摘要、AI搜索、录音转写……功能列表越写越长。

8、奇景！比利时落后闹内讧：对手都来劝架 转头两人联袂绝平

外界总在谈论网络舆论，但我们始终专注于自身。

但米兰只拿到欧联杯资格，这很难打动魔笛。

硬件能力会被追赶。

9、“偶像”回来了，巴西的世界杯真正开始了

随着Kimi K3发布，Kimi和杨植麟一定程度上确实拿到了类似DeepSeek的剧本。

与此同时，车型结构也在向低价集中——48.01 万辆的交付量中，Model 3 和 Model Y 占到 46.78 万辆，比例超过 97%。

10、菲亚特124 Spider限量版#3现身：124辆回归纪念款，行驶仅4.5万英里

与此同时，意大利方面传来消息，罗马主帅加斯佩里尼希望以租借加买断的方式签下加纳乔，让他和国家队队友迪巴拉在俱乐部并肩作战。

这一僵局迫使尤文不得不加快备选方案的推进。

1、沉寂23年 1968年玛莎拉蒂总裁手动挡项目车无底价寻新主

四人虽场上位置与竞技状态各异，但在阿莫林力推的3-4-2-1战术体系中，均已不再属于首发序列，其薪资总额与剩余合同年限决定了俱乐部必须在本窗口完成变现，以避免资产贬值。

2、林权改革“金钥匙”解锁民乐“绿富密码”

更隐蔽的问题是，一套新的优绩主义正在形成。

3、开盘超4600股下跌，油气、能源设备板块逆势走强_网易订阅

未来，相信乐事还将持续深耕看赛场景，以更多元的产品创新、更丰富的互动玩法以及更沉浸的体验，不断拓展“看赛有乐事”的内涵。美军突破底线，伊朗宣布终止！斩首行动展开，海湾三国全被卷入！1/8决赛面对东道主加拿大，摩洛哥在上半场顶住对手猛攻的情况下，下半场连进三球，最终3比0完胜对手，值得一提的是，摩洛哥全场仅5次射门4次射正就打入3球，进攻效率堪称恐怖。

4、皇马向尤文推荐马斯坦托诺，尤文有意盖塔诺，科莫利即将下课

恰恰相反，我需要继续前进，始终帮助球队。

5、暖心护考，文明实践站倾情助中考

在克勒舍拒绝之后，俱乐部已经将目光转向了31岁的德国经理人德文·厄泽克。

6、国足9月重庆摆擂，将战乌兹别克、朝鲜等四队

第三条路线是投资还没完全证明自己的年轻中锋。

最大牌的是埃梅里，但伊布想要签下他几乎是天方夜谭，西班牙主帅刚刚带领维拉夺得欧联杯冠军，本赛季还带队取得联赛第4，俱乐部为其开出的年薪高达千万欧元。

AI服务器、AI PC、边缘智能硬件对代码型存储NOR Flash需求大幅提升，单台智能设备NOR搭载量相较传统硬件提升数倍；工业控制、新能源汽车持续扩容，进一步夯实存储芯片需求基本盘。

7、足协杯1/8决赛综述：7场3红4次点球大战，蓉城退冠+传统三强晋级

此外，阿根廷中卫塞内西在随队打完世界杯后获得了额外的假期，暂不归队。

但现实情况不容乐观，米兰中场目前有七名球员竞争两个主力位置，即便考虑到欧联杯的多线作战，人员储备也过于臃肿。

8、客场遭大连英博逆转，武汉三镇痛失好局！

此外，巴尔科拉、戈茨和阿莱贝戈维奇也在枪手的雷达上。

所以真正的运营，不是简单分配算力，而是持续处理资源编排、任务优先级、故障隔离、动态迁移和系统恢复，还要防止某一类任务长期霸占资源、拖慢所有人。

车队最终抵达西贝莱斯广场，球员们登上舞台，狂欢直至深夜。

为锁定奥利塞的长期未来，拜仁正准备大幅提升其薪资待遇。