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1、米乐登录入口 这位30岁的新科世界杯冠军得主，未来去向依然悬而未决。

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。米乐登录入口决赛中，费兰在替补席上等着。

2、用兴奋剂还能继续打！广东最大克星惨遭重大打击，山东北京被坑惨

”他强调，西班牙队不会因对手而改变自身打法。

3、“黄总请你进包厢”后续：黄总身份揭晓，漂亮女孩吃顿饭咋这么难_网易订阅

不过米兰对后防线的改造才刚刚开始，据悉，英格兰中卫托莫里离队已进入倒计时。

4、足疗店也要上市了！华夏良子，一年给5000万人按脚

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。

5、巾帼匠心传友谊丨中俄嘉宾品读龙江非遗之美

后防线上，鲁本·迪亚斯领衔的防线稳健可靠，坎塞洛和努诺·门德斯两翼齐飞，助攻能力极强。

科特迪瓦1-0绝杀厄瓜多尔的比赛则展现出很强的韧性，全场仅让对手1次射正，面对持续施压始终保持阵型紧凑，但比赛也暴露出中场控球劣势、进攻终结效率不高、下半场体能下降防线松动等问题。

数据显示，7月21日，碳酸锂期货主力合约LC2609盘中一度跌破13.68万元/吨，创下五个月新低，较5月中旬20.98万元/吨的阶段高点，累计跌幅超三成。

6、弃用内马尔，替补读秒绝杀！安切洛蒂极限布局，诠释名帅博弈艺术

25岁的吉拉正值当打之年，本赛季累计出战32场，是蓝鹰防线不可或缺的一环。

风电、光伏项目被要求配套储能设施，但这种模式催生了大量低质量需求：储能利用率低、回报率差，电芯质量参差不齐。

7、我帮詹姆斯的决定时间决定了！

依托初代瘦瘦小绿瓶、低GI升级款、奇异果超C新款的完整进化路径，奈雪以超级大单品持续深耕、系列化延伸，构建起体系化、标准化的纤果茶产品矩阵，领跑新茶饮健康化、营养化升级浪潮。

从清晨起床、早餐、通勤、午后工作、傍晚散步完整流程。

8、关于阿勒锦岛国家湿地公园临时闭园的通告

俱乐部虽然刚刚恢复了西甲“1比1”财务公平竞赛规则下的正常操作权限，但管理层心里清楚，这种宽松局面很可能只是暂时的。

21万辆车批量出现行驶中断电、电芯鼓包漏液，放到任何一个成熟的汽车市场，这都够得上启动召回的标准。

现代足球得中场者得天下，而本场比赛，法国队的中场在西班牙由罗德里、法比安和奥尔莫构建的传控体系面前，显得支离破碎。

9、CBA：辽宁、山东洗牌所有外援，徐杰锁定顶薪，王哲林后悔没前往NBA，中国男篮排名再次下降

他要求面试者，必须带上那些苹果还没发布的产品，当着他的面拆开。

问你一个问题，视频生成的终局是什么？ 如果你以为是“更长更惊艳的视频”，那可能只看到了冰山一角。

10、光设计就刷屏！南京“绿洲大厦”，层层像梯田！

即便明知打官司也执行不到一分钱，但也必须打。

主帅洛伦索打造了一套4-2-3-1体系，进攻端由J罗和路易斯·迪亚斯双核驱动，J罗负责中场组织调度，利用精准的传球撕开防线；迪亚斯则在边路利用速度和技术突破制造威胁。

1、拒绝四川队，CBA状元降级加入香港金牛，又一名超级球员也退出

科莫托的短板是处理球的稳定性和在受压下的控球、择球能力仍需打磨，他的很多丢失球权发生在试图强行转身或被包夹时急于出球的情况下。

2、拉爵计划有变需要省钱！曼联恐放弃买第三中场，或关注卡塞米罗廉价替代者

欧美杯缺席，这场世界杯决赛算是弥补。

3、他，播客“顶流”，还没赚大钱

据悉，米兰已经与波切蒂诺就一份每赛季税后最高可达500万欧元的合同达成了原则性协议。CBA：辽篮张陈治锋特训开发三分，郭昊文将征战夏季联赛，上海三年顶薪续约李弘权，广东留下张文逸长鑫是过去十年唯一挤进这张桌子的新玩家。

4、美国大满贯：单打16强各定12席！国乒1胜2负，男单下半区危急

7月21日，谷歌DeepMind发布三款轻量新模型，主力产品Gemini 3.6 Flash主打高效，以更少的token、更低的成本提供更高质量的工作。

5、英国财政风险再抬头：伯纳姆新政未明，投资者悄然减持英国资产

澳大利亚2-0击败土耳其的比赛则是防守反击的教科书。

6、关注

最终留在舞台中央的，将是那些既能构建系统、又甘愿承担长期运营责任的少数企业——以及围绕它们生长出的、分工明晰的服务生态。

国米最初的对话意在摸清这笔交易在经济层面的可行性。

就此可见，这个足坛，特别是世界杯赛场，压根没有梅罗争霸，梅西是“皇帝”，带着潘帕斯雄鹰展翅高飞；而C罗是“皇帝的新衣”，拖着五盾军团陷入泥泞。

7、42岁唐嫣晒自拍引讨论，172cm身材蜕变成熟御姐惊艳全网

支撑这条轨迹的，并非对技术风口的追逐，而是对“兴趣”与“人”的始终如一的理解。

这笔交易的达成，也牵扯出一段巴萨的转会往事。

8、谷歌密谋「焊死」Gemini！神秘芯片曝光，能效碾压TPU十倍

此后，西藏联合先后在甘肃投资建设了华威然气、白银瑞光、甘肃瑞光三个项目，前两个项目在2019-2023年陆续完成收购承诺，但临夏瑞光供热PPP项目始终未被收购。

这位30岁的新科世界杯冠军得主，未来去向依然悬而未决。

两队总身价高达27.4亿欧元，不仅刷新了世界杯单场比赛的身价纪录，更让这场对决被媒体和球迷公认为本届世界杯“提前上演的总决赛”。

从吸引C罗、本泽马等传奇老将，到如今用天价合同砸向特林康这样26岁的当打国脚，沙特联赛的建队思路正在发生质的飞跃。