泡泡玛特已经把美国市场当成了头号增长引擎。

1、b体育官网 一是综合施策全力维护市场平稳运行，提升资本市场韧性。

从国家队队长到安菲尔德的新王，索博斯洛伊已经做好了接班范戴克、戴上队长袖标的准备。b体育官网随后，又是梅西的传中，劳塔罗·马丁内斯头槌破门，阿根廷在亚特兰大完成逆转。

2、她来自北极，这是萨姆索诺娃的故事

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。

3、拒绝连败！北京男篮3人不合格，顶薪后卫又成水货？曾凡博没退路

小组赛0比0被加纳逼平，也暴露出球队阵地战攻坚办法不多的问题。

4、知乎：不亏钱了，但不富裕

英阿大战，必出精品！因为在这里，没有绝对的强弱，只有极致的血性；在这里，胜负早已超越了四强名额，更是六十年绿茵宿命的终极了结。

5、循光上场！New Balance举办2026上海女子半马女子跑者论坛

最先发力的是储能需求。

法国、西班牙、英格兰、阿根廷——这四支球队恰好包揽了赛前国际足联（FIFA）世界排名的前四位。

2019年12月，他在佩纳罗尔开启了执教生涯首秀，但仅带队11场取得4胜便黯然下课。

6、山西省2026年普通高考未投档考生成绩分段统计表

被移出的大多是与出资人主业关系不清的消费和泛服务项目，而那些尚未形成收入、但在产业链位置明确的流体动力、特种阀门等早期硬科技项目，反而获得了紧急补入资格。

如果时光倒流三十年，把今天的股价数据送到1996年的礼来总部，那些刚刚否决掉GLP-1减肥项目的高管们，大概会将其视为科幻小说。

7、恭喜文班亚马！恭喜马刺！快船拒绝1.26亿续约，小卡或重回老东家

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。

为了最大化梅西的威胁，阿根廷全队甘愿付出更多的跑动来弥补体能和覆盖面积的不足。

8、于何一:省队主力级别陪练一年能挣100万 方博一年能挣200万!

汽车业务的利润虽然被价格战压缩，但服务业务正在弥补一部分缺口。

我们非常高兴欢迎他加入迈阿密国际的大家庭。

其他新援还有阿泰卡梅（伯尔尼，1000万）、西塞（维罗纳，800万）、拉比奥特（马赛，700万）和奥多古（沃尔夫斯堡，700万）。

9、蚊子只爱O型血？不，真正的“招蚊体质”是这几类人

不少市场观点预判，长鑫科技登陆资本市场后，市值有望站上3万亿元关口。

意甲收官战结束后，米兰老板卡迪纳莱火速炒掉了主教练阿莱格里、体育总监塔雷、CEO富拉尼和技术总监蒙卡达。

10、汤尤杯拉开战幕，中国男女队首秀双线开门红

Q2谷歌服务实现营收945亿美元，同比增长15%，其中广告主业略超预期，搜索广告增长17%、YouTube广告增长13%。

余凯表示，地平线的确“不太会混社会”，自动驾驶芯片第一股、自动驾驶第一股、物理AI第一股……等从没搞过，是一家比较无聊的公司。

1、一个时代落幕了！丁彦雨航正式退役，山东男篮再无"四字外援"

2025年非洲杯冠军的归属依然在申诉之中…… 在2026年世界杯的赛场上，马内迎来了他在国家队的“最后一舞”。

2、侯志强：如果于金永长期替补，这对泰山队将是极大的损失

明明是社会问题，聊到最后却又成了个人如何调整认知、管理能量、提升内核。

3、记者：库明加拒绝湖人两年2000万报价，寻求2000万年薪合同

单颗芯片的性能快到天花板了。正式确定！CBA明星后卫完成签约，留在浙江男篮32场各项赛事不败的纪录，让这支非洲劲旅的稳定性令人敬畏。

4、习近平总书记关切事丨沃野耕耘护粮安

26岁的新西兰国脚与球队签下一份三年合同，另含一年续约选项，新赛季他将身披8号球衣。

5、33.3%！13.3%！年薪全队第一，表现却不如新秀，马刺被他坑惨了

在损失巨额收入的情况下，继续卖主力几乎成定局。

6、平均每笔不到五百元的百亿生意：嘉立创如何加速AI硬件落地？

2026年美加墨世界杯是首次扩军至48队，本届世界杯已经诞生四强，有意思的是世界杯历史首次出现世界排名前四的球队会师半决赛，真是一滴水分也没有，足坛最强的四支国家队角逐2026世界杯的决赛名额。

周远几乎没有犹豫，先选了第一种。

本纳赛尔已与球队协商解约，将加盟卡塔尔球队北方体育。

7、睡前一小时停止内耗！带着坏情绪睡觉，身体根本修复不了

相比2024年夺得欧洲杯，西班牙两个边锋状态不及过往，尼科在俱乐部就遭遇了滑铁卢，如今伤愈复出仍需要找状态；亚马尔伤愈复出之后，体能和状态是渐入佳境，但与巅峰期还相差甚远，本届世界杯6场1球0助就是最佳证明。

话说到这个份上，多特已经没有多少谈判余地了。

8、1-1！2-1！世界杯F组第1被逆转 F组第2被绝杀 “死亡小组”成笑话

尤文体育总监马萨拉对托莫里十分熟悉，正是他在米兰任职期间主导了这笔签约。

它们的使用理由很大程度上由已有场景支撑：通信、拍摄、清洁、旅行记录。

辞退阿莱格里后，米兰把工作的重心放在选帅上，此前他们的头号目标是伯恩茅斯主教练伊劳拉，但这位西班牙少帅倾向于加盟水晶宫，因此红黑军团需要重新寻找新的目标，伊布列出一份7人名单，几乎没有重量级的主帅。

长鑫99%营收仍来自DDR和LPDDR，HBM暂时当不了利润稳定器。