这背后，显然不只是足球的吸引力那么简单。

1、足球直播 亚沙里目前面临的情况比较复杂，这位1年前3600万欧元购入的瑞士中场上赛季仅出场17次，贡献1次助攻，尚未在圣西罗证明自己的战术价值。

同一条新闻，两种工具，两条不同曲线。足球直播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。

2、今日重要赛事！7月22日，CCTV5、CCTV5+直播节目表

在监管面前，旭阳新材要坦诚面对这些问题。

3、世预赛-中国男篮VS省队前瞻：CCTV5直播，中国队出线关键战输不起

阿根廷小组赛顺风顺水，三战全胜打进8球仅失1球，以头名轻松出线。

4、从“一根细纱”到“人造血管”，纺织产业跨界向新

我们非常愿意和云厂商、模型厂商等合作，存储架构设计有各种可能性，有的客户SSD占比高，有些占比低，很多客户也会结合自身软件能力进行优化。

5、日本参院委员会通过《皇室典范》修正案

尽管并非队中绝对主力，他依然专注以任何可能的方式帮助球队。

从7-Eleven的区域分布来看，门店集中在广东、山东，华南区域，西南昆明等地相对强势，但从全国范围来看并未形成规模化网络，且基本上都是以合资或授权公司独立运营模式为主，并不是直营统一扩张，如果要试水新鲜零食赛道、无论是配套设施还是冷链体系，抑或新鲜零食的品控问题，都是7-Eleven需要解决的核心痛点。

加维刚刚赢得了足球世界里最重的奖杯，这一点不容丝毫削弱。

6、还有最后4天，等自由市场开启时，湖人会报价詹姆斯吗？

世界杯半决赛，法国0-2不敌西班牙，英格兰1-2遭卫冕冠军阿根廷逆转落败。

这意味着，企业要付出更多努力，在充分尊重其直觉的前提下，防止自负的核心人物犯错。

7、张子宇28+10+4帽难救主，山东双星末节失误2分惜败

如果阿莫林的战术理念能够与克勒舍的转会运作完美结合，米兰完全有能力在未来几个赛季完成阵容的升级换代，重新具备争夺意甲冠军和欧冠荣誉的实力。

" 萨利巴的背伤无疑让阿尔特塔忧心忡忡。

8、萨利巴需长期康复，枪手有意斯通斯孔萨

四支前世界冠军球队将半决赛的舞台变成了一场名副其实的“冠军盛宴”，也为本届世界杯的含金量盖上了最权威的印章。

虽然从意甲首秀表现来看，卡马尔达的数据完全不能与同时期的一些超巨相提并论，但他仍然拥有很强的可塑性，并且正印中锋位置始终是转会市场上的稀缺品。

钛媒体：与全球其他市场相比，中国在云边协同、AI基础设施建设以及数据管理方面有哪些独特趋势？未来几年您看好哪些行业率先实现AI规模化应用？ 俞康：中国市场的应用驱动速度快于技术讨论，这些场景有一个共同特点，产生大量非结构化数据，视频已经占全球网络流量的80%，生成和存储的数据中约有一半是视频数据。

9、0-1、0-2！2支升班马同时输球，重庆铜梁龙遭首败，辽宁铁人4连败

在今年夏天的夜晚，每天还都有三场音乐live在这里进行，涵盖爵士、古典、流行、DJ等多种音乐类型。

月之暗面随后于6月29日发布官方声明，明确所有融资活动仅由公司直接负责，未经公司批准的老股交易一律无效。

10、下届世界杯64支球队？国际足联计划继续扩军，国足有望压线晋级

足球比赛的魅力，恰恰在于身价无法解释一切。

纳斯达克称，此举旨在降低微盘股被操纵和“拉高出货”骗局的风险。

1、约翰把老本吃完了，用不明白3大国脚，成都别以为冠军稳了，胡荷韬调整好心态

临时更换主场意味着比赛日收入将大幅缩水，而这是俱乐部最大的收入来源之一。

2、韩国股市，跌到熔断

施工时，阿浩找了一个懂装修的朋友来看。

3、美国国脚告别美职联？25岁伯哈尔特200万美元转投英冠米堡

排名第三的是小希门尼斯，这位皇马青训球员外租伯恩茅斯，年仅20岁的西班牙人本赛季成为球队主力，各项赛事32次出场贡献1射1传。10球夺金靴！姆巴佩世界杯22球超越梅西，创56年纪录替尔泊肽在商业上的成功同样惊人。

4、威廉二世租借AZ中场新星博加德，20岁小将荷甲练级

不过里奇的传球视野和穿透力与莫德里奇完全不是一个量级，这意味着米兰的中场推进方式需要做出结构性调整。

5、ESPN编辑：赫尔城将获“高效中场”，31岁自由球员能即插即用

马德里一片红金交织。

6、乌克兰刚炸完俄腹地！基辅就挨炸，双方防空都扛不住了！

由于本职是后腰，里奇的防守属性明显强于莫德里奇和亚沙里，而进攻端的数据也还不错，赛季至今31次出场贡献1球3助攻。

“怎么搞个欧洲的裁判，最起码要是亚洲或者非洲的吧！”这是社交媒体上最常见的质疑声。

战术风格碰撞：传控主导VS高压逼抢 墨西哥主教练阿吉雷打造的是典型的拉美传控体系，场均控球率达到56.1%，揭幕战更是高达61%。

7、特朗普称与中方就台湾问题谈了很多，“我不希望看到台湾试图走向独立”

最后少不了的老熟人是范博梅尔，他与伊布的关系极为密切，其执教风格与球员时代的风格十分相似：身体对抗强、阵型紧凑、富有侵略性且极为注重整体平衡。

泡泡玛特起诉拓竹的源头，便是 MakerWorld 上存在大量未经授权的泡泡玛特热门 IP 打印数据模型，用户可以下载模型并打印 LABUBU 等潮玩，甚至用于营利用途。

8、世界杯最大败笔！英格兰弃用皇马王牌！图赫尔脸都被打肿了

布莱顿和切尔西紧随其后，布莱顿连签武什科维奇、约翰纳、斯特鲁伊克等多名球员，切尔西则补进了帕莱斯特拉和昆达两名边路球员。

20世纪90年代甲A时代，王健林的大连万达就是中国职业足球的天花板，四年拿了三个联赛冠军，创下55场不败纪录，在亚洲赛场也所向披靡。

旭阳新材的问题，根子上就是转型较慢，一旦面对发展阻力，有可能出现操作变形的情况。

作为米兰近几个赛季的核心进攻手，莱奥效力球队8年间累计出战291场，贡献80粒进球和65次助攻，排在俱乐部队史射手榜第15位、助攻榜第6位，是红黑军团重返意甲争冠行列、拿下21/22赛季意甲冠军的核心功臣。