FILA AURA“菁英跑”第三站落地深圳 近日，FILA「菁英跑」系列活动第三站落地深圳，FILA菁英运动代言人王阳与来自华润集团等企业的40位商务人士及媒体，身着全新FILA AURA商务跑鞋，以一场清晨慢跑，共验“稳驭万象”的全场景生活哲学。

1、b体育官网 利雅得新月是最新浮出水面的追求者，这笔引援与小因扎吉直接相关。

温故而知新，翻开两队的世界杯交锋史，每一次碰撞都伴随着争议、热血与传奇。b体育官网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、一人一城！记者：勇士将给库里提供2年1.36亿美元的续约合同

一旦朗尼克全面接管，伊布可操作的实际职权就会被迅速压缩，这是他不愿接受的。

3、古德温绝杀！上海男篮3分险胜广厦，总决赛2比0，布朗50分

把所有线索放在一起，谷歌面临的真正问题浮出水面：作为资本开支最激进的AI公司之一，持续高额的投入到底能不能带来实际收益，至今没有被验证。

4、阿尔坦夫深夜遭导弹突袭，美军刚走伊朗就补位，中东棋盘正在重洗

这些专业术语翻译成四句大白话。

5、NBA球员生涯薪资总排行！詹姆斯仅排第二，榜首狂赚5.98亿美元

如果能够顺利签下葡萄牙人，再配上克罗舍这样经验丰富的技术总监，红鸟相信，米兰的新管理层组合在意甲赛场将具备很强的竞争力。

疑问底层逻辑穿透：从“粗放”到“精细”转型缓慢 旭阳新材身上的疑点，其实是公司发展底色的映射。

这么短的时间、这么精确的金额，更像是为了制造资金流水、满足某种形式上的要求，而不是真正的经营需要。

6、马拉松比赛中，你的心脏如何在压力下工作？急剧变化的不仅仅是心率

原因是该交易发生在2025年6月30日前，已被统计到24/25财年账目，因此尽管荷兰人是在去年夏窗离队，但不会计入25/26财年。

两种截然不同的战术风格正面碰撞，是西班牙传控体系稳扎稳打，还是乌拉圭铁血防守完成逆袭，成为小组赛末段的核心看点。

7、赛程难产！圣诞大战都没法安排了！！就因为他！

这种基于商业逻辑的“尺度倾斜”一旦在观感上被放大，就会让竞技体育的纯粹性遭到严重侵蚀。

最先收紧的是关税这道明锁。

8、马琳的暂停厉害，孙颖莎3-2险胜金娜英，国乒女团3-0韩国进4强

5月，乐事推出FIFA世界杯限定产品，以热门球队国家的经典美食为灵感打造限定口味，同时将球队特色元素与国际球星形象融入包装设计，在不同渠道烘托世界杯氛围，精准捕捉球迷及消费者的目光。

他发现，很多用户打完游戏后并不退出房间，反而开始唱歌、聊天、分享生活。

相比于自带光环的互联网大厂和高估值的明星大模型创业公司，垂直AI厂商以贴近用户场景、自我造血能力的姿态，默默走到了AI时代的舞台中央，成为既务实又有生命力的样本。

9、中国男篮官宣23人集训名单，封闭训练50天，郭士强选人引发争议

滔搏表示，理解并尊重耐克基于品牌长期发展战略所做出的渠道调整决策。

公开信息显示，地平线机器人与大众将通过酷睿程，进一步加强在AI基座大模型领域的合作。

10、CBA：北京男篮正式放弃麦基，米切尔告别CBA，国内教练没有杨瀚森说明书，山西续约迪亚洛

绝大多数产品创意是由一线的人推出来的，而不是由高管的roadmap驱动的。

本财年，东方甄选净溢利预计为5.2-5.5亿元，相较2025财年的净溢利，同比增长8,566.7%至9,066.7%。

1、1980年，66军炮兵团“叛乱”，邓小平大惊：华国锋不宜留在领导层

但问题在于，这套机制在风控系统面前等同于一个巨大的后门。

2、四连败的山东男篮目标赢得季后赛

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。

3、vivo Y200系列发布：标配6000mAh电池 1099元起售

据英格兰天空体育新闻报道，米兰已联系了伊劳拉的团队及代表，以试探其接手球队的可能性。恭喜威少：下家有着落了，是一支大黑马球队比利时（第八，升1位）反超邻居荷兰（第九，降1位）。

4、5名中国球员全部通过资格赛首轮，吴易昺张之臻齐头并进

其中GPU芯片企业沐曦股份不仅出资，还与飞捷科思联合发布了全栈国产化物理AI仿真训练工作站 FysiStation，软硬一体深度绑定。

5、36氪首发

皇家马德里改变了此前的态度，决定在今夏向曼城求购西班牙中场罗德里。

6、百菲乳业四战IPO：“水牛乳第一股”自有水牛仅千头，净利率三连降

得州 AI 算力增至 250MW，计划提升到 400MW。

成长溢价看产能爬坡和出货量。

彼时米兰其实就追求过努涅斯，但面对沙特俱乐部的钞能力，根本没有竞争力。

7、肖霖昂，在不一样的路上追逐同样的风景

而这正是最让人担忧的地方。

在阿莫林偏好的三中卫体系里，右脚中卫需要具备稳定的出球能力和对抗硬度，托莫里防守选择的不稳定性不符合新体系要求。

8、【考古系】2003巅峰麦大战活塞（上）：无限接近成功的黑八

事实上，乐园是泡泡玛特许多IP运营尝试最初的试验地。

真正的差异在于对手射门的质量，从场均被射正3.25次，上升到最近8轮的4.25次。

在西安、无锡、武汉，凡是核心客户扎堆的地方，都设了服务团队。

有意思的是，彼时米兰外租球员海于格就在阵中，他的买断触发条件为法鹰夺取欧联杯，谁曾想真就这么达成了。