枪手是否会重新追逐威廉姆斯，目前尚无定论，但经纪人这番话显然没有把门关死。

1、leyuapp 2023年，Mounjaro销售额达51.63亿美元，同比增长970%。

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。leyuapp这不是谁的错，是真实的起点差异。

2、金融“添柴加薪” 龙江夏日经济“热辣滚烫”

但公司业绩一路下行，扣非归母净利润连年缩水：2022年尚有4172万元，2023年腰斩至1930万元，2024年跌到933万元，2025年全年扣非净利仅629万元，2026年一季度更是只剩46.84万元，主业盈利能力几乎见底。

3、59岁克洛普出任德国队主帅，谈执教“目标”：德国队没有法国队好，没有登贝莱姆巴佩，要让球队击败法国、西班牙、阿根廷成为可能

它打开消费无人机市场的方式，是把飞行控制、稳定和校准等专业知识藏进产品里。

4、6场0球0助！乌拉圭亿元先生两届世界杯交白卷，让球迷更怀念一人

1924年巴黎奥运会与1928年阿姆斯特丹奥运会，乌拉圭队连续两届以摧枯拉朽之势夺得金牌。

5、防汛进行时｜辽宁高速：沈阳、鞍山、盘锦、铁岭地区部分收费站交通管制

据都灵方面的消息人士透露，由于马丁内斯交易迟迟无法推进，尤文预计将很快向热刺发出新一轮正式询价。

品牌货价格透明，一包薯片、一瓶饮料，贵几毛钱消费者都能看出来，只能压价引流。

比赛前一个小时的大部分时间里，英格兰把他限制得比阿根廷希望的要安静得多。

6、挪威球迷意难平！不止因为加时1-2惜败英格兰，更在于以下五点！

奥地利世预赛8战6胜1平1负，以小组头名强势出线，打进22球仅失4球。

目前处在相对前沿位置，也最引人关注的是NPO（近封装光学）和CPO（共封装光学）。

7、打虎！证监会原副主席方星海被查

综合来看，法国的整体实力与淘汰赛经验略占上风，全胜战绩与攻防两端的均衡性是最大优势，但面对擅长控球的西班牙，反击空间可能被压缩。

不过中场相对薄弱，科内和拉比奥的组合攻守均衡但创造力不足，进攻组织更多依赖前场的奥利塞回撤。

8、来自省政府新闻办专题新闻发布会的报道 “三维”发力 农产品精深加工业提质增效

当品牌主动削减批发、减少授权后，滔搏首当其冲。

他试着把每一分钟用到极致。

明明有清晰的前车之鉴，叠纸依旧在《恋与深空》重启新男主扩容计划，这份铤而走险的背后，藏着整个乙女赛道无法回避的双重困境：存量市场的商业焦虑，加上日趋严重的创作枯竭。

9、杀机四伏！阿根廷针对英格兰王牌，或将刻意造红牌

作为全球汽车行业龙头，大众早在2016年就开始大幅转向电动化，2020年，大众又成立了软件子公司CARIAD，主要开发智能驾驶、车载操作系统、车规级软件等产品。

时间线本身，就是一种信息差。

10、布莱顿重磅签约！5000万英镑敲定热刺天才中卫武什科维奇

” 谈及即将到来的半决赛，孔德将话题转向了双方技战术层面的较量。

在公司官宣发债后，资本市场表现并不算积极，当日，公司股价跌3.79%至4.57港元/股，总市值约为666亿港元。

1、一场没有誓言的婚礼：古代巴比伦人把爱情谈成了公司并购

一个典型的证据是：在汽车毛利率越来越低的情况下，特斯拉依旧在大举投入到物理AI 的各个方面，或者说，特斯拉正在用汽车业务赚来的钱，去押注一个尚未兑现业绩和贡献的物理AI 未来。

2、企业参访变“就业直通车”，近十名学子现场被相中

在别人的地盘上做客，随时可能被扫地出门。

3、数百名医生再三强调：只要做过肠镜检查，患者一定多加关注这6点

本场比赛，扎卡能否在中场限制梅西的回撤拿球，阿坎吉领衔的后防线能否顶住阿根廷的边路传中与禁区穿插，将决定瑞士防守体系的成败。3千万！山东男篮交易王岚嵚内情曝光，乌戈有想法，辽篮索要550万按照目前的行情，罗杰斯的身价预计将超过1.2亿英镑。

4、无缘首胜！葡萄牙1-1爆大冷！诸神黄昏这事，可能只有C罗听进去了

”斯旺西城宣布从马瑟韦尔签下边锋伊莱贾·贾斯特，这笔转会尚待相关批准。

5、欧冠疯狂1夜：马竞2-0巴萨，大巴黎2-0利物浦，小蜘蛛杜埃世界波

球员们有的赤裸上身，有的手持饮品，在烈日下从市中心主干道出发。

6、2026世界杯决赛中场秀引球迷暴怒，球员难道只是FIFA的敛财工具？

新赛季丘库埃泽能否在高强度压迫战术中维持九十分钟的执行力，将决定其是作为常规主力还是功能性轮换球员。

从球员时代的绝对核心，到教练席上的战术大师，齐达内与法国队的故事，即将翻开崭新的一页。

根据规定，俱乐部在同一个欧战赛季的联赛阶段必须在同一座球场进行所有主场比赛。

7、看见佛得角黑马闪耀，我读懂了世界杯扩军的意义

未来的智算中心很可能长期保持异构状态，芯片架构各自承担擅长的任务，运营商负责将底层资源组织成面向用户的服务。

还有一部分GP开始将目光聚焦在S基金上。

8、3类牙膏被列入致癌“黑名单”，长期用或有致癌风险？告诉你真相

当Robotaxi真的在奥斯汀街头跑起来的时候，或许不是“未来已来”的终章，而是一场更残酷、更烧钱竞赛的开始。

他用连续两届世界杯的决赛之旅，用2026世界杯8球4助攻的超神数据，向全世界宣告：足球之神依然眷顾这位勇敢者。

季军战历来少有保守打法，近五届世界杯季军赛场均进球达到3.6球，本场双方大概率放开攻防，比赛节奏会相对开放，预测法国2-1取胜，次选英格兰相同比分取胜。

上赛季，特别是在欧冠四分之一决赛对阵马竞的淘汰赛中，球队的进攻几乎完全依赖于亚马尔能否从帽子里变出兔子。