在成功地面争抢榜单上，梅西以惊人的50次暂列第一。

1、乐鱼电竞 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。

他们不断吃力应付，但靠着纯粹意志和拼劲，总算顶住了西班牙切换档位时的从容推进。乐鱼电竞篮球圈的故事同样精彩。

2、日本足球的天花板，一动也不动

在拓竹出现之前，消费级 3D 打印机已经不是一个新鲜赛道。

3、董军同泰国国防部长阿敦举行会谈

这些历史开始洗牌期的时候，必然出现三个信号——全民抢人大战、融资收紧和量产交付落空。

4、凯尔特人三年1600万续约防守侧翼 沃尔什锁定轮换未来

目前对里奇表达明确兴趣的是萨里执教的亚特兰大，值得注意的是，亚特兰大最近已经从卡利亚里引进了加埃塔诺，又与埃德森完成了五年续约，这意味着真蓝黑中场人手并不紧缺，里奇如果加盟需要与多人竞争位置，这也可能影响最终的报价力度。

5、蒙扎先租后买签下葡体左闸：转会费150万欧+浮动，还要抢特拉维夫后卫

不要只问一个人为什么“低能量”，也问问他每天工作多久、收入发生了什么变化；不要只说“原生家庭”，还要还原父母具体做过什么，当时有哪些现实限制；不要笼统要求“情绪价值”，而是说清楚自己希望对方做什么，又愿意为关系承担什么。

两队历史上共交手4次，摩洛哥3胜1平保持不败，进10球失4球，占据明显优势。

真正让传统乙游走入死局、频频触碰舆论与监管红线的根源，是品类与生俱来的结构性短板：极度单薄的游戏性，让所有运营压力、留存诉求、营收目标，全部捆绑在情感叙事上。

6、穆里尼奥急红眼！皇马王牌狮子大开口，硬要和姆巴佩平起平坐

滴滴属于全球层级赞助商，网易则拿下了阿根廷队的中国区独家新媒体合作权。

他进一步解释：“领先后，我们没有继续追求第二个进球。

7、欧联前瞻：卡拉巴赫迎战索菲亚中央陆军，巴库首回合_网易订阅

原因在于，切尔西出人意料地击败阿森纳，抢下了维拉攻击手、英格兰国脚罗杰斯。

壁仞科技推出支持单个超节点1024卡扩展的NPO光互连方案。

8、国籍不对，处罚翻倍！英格兰后卫停赛2场且不能“缓刑”，英国首相：我没去求情

27岁的法国中卫马朗·萨尔在与朗斯合同到期后成为自由身，包括皇家社会在内的多家欧洲球队都对他有意，皇家社会甚至希望用他来补强后防。

在葡萄牙体育执教时期，他就曾赋予布鲁诺·费尔南德斯这一要职，之后B费也跻身英超顶级中场行列。

在世界杯半决赛击败英格兰后亮出这一标语，无疑带有极强的政治色彩与挑衅意味。

9、上港主场踢完玉昆比赛后！蒯纪闻就消失在大名单，原因是受伤了

企业卖的是情感体验，但情感体验恰恰是最难以标准化和长期维持的。

多数核心玩家对固定男主投入数年时间、精力与情绪，早已形成稳定的情感认知与陪伴预期。

10、世界杯扩军64队吃席模式？新人上主桌且得等！

过去一年，中国大模型公司的竞争重点已经从「谁能做出一个更像ChatGPT的大众聊天机器人」，转向「谁能为真实工作提供更好用的模型」。

” 还有人感慨：“哎呀，带着孩子碰上这种事，没有比这更糟糕的了。

1、五星炫跑吧“水窠里——夏日清凉”活动圆满收官！夏日尽情玩转漕泾

在这场直接影响积分榜排名的直接对话中，大连英博凭借外援三叉戟的集体爆发，以3-1完胜山东泰山，不仅完成了对对手的赛季“双杀”，更将自身积分提升至28分稳居联赛第三。

2、图赫尔表示自己将会留任，直到2028年欧锦赛

一瞬之后，球网颤动。

3、蒋介石侍卫长郝柏村晚年称：蒋介石最大错误，就是接受雅尔塔协定

耐克大中华区副总裁兼总经理 Cathy Sparks 透露，自明年1月起，中国内地的主力运动零售商将全面停止线上耐克鞋服产品销售，转而专注线下门店经营。世界杯决赛阿根廷零射正惨败西班牙，梅西最后一舞竟以最窝囊方式收场用更快的发布速度，在真实使用里缩短性能差距，美国AI研究者Nathan Lambert在近期接受采访时，认为这是一种中国策略。

4、博卡青年迎战奥希金斯：南美杯三十二强糖果盒首演

“主动重建市场秩序” 整体看，耐克本次改革主要聚焦线上渠道，收回直营权，线下批发业务暂时保留滔搏、宝胜等大经销商。

5、6月25日15:00开讲！高考政策+志愿填报+生涯规划，权威专家为你划重点

AI宠物绕过了这些麻烦，但也因此可能削弱了情感的深度。

6、中国女篮2分惜败后，宫鲁鸣教练组或做三大调整

这些榜单成绩，足以证明极佳视界的技术研发能力进入了全球第一梯队，但无法证明它已经建立长期领先。

这粒金子般的进球不仅帮助球队晋级，更让马德里竞技为其标出的1.5亿欧元转会费显得物有所值。

你的出价，取决于你赌哪一层 三层溢价，每一层都有证伪条件。

7、点球大战陈威两度扑点，海港晋级足协杯八强

从优必选、宇树、智元等头部公司挖来一个核心高管，估值加5000万，招到一个名校博士，估值加1000万。

即战力与经验的完美契合 对于急需补强中场的曼联而言，蒂莱曼斯的到来无疑是一场及时雨。

8、高考640分，全身几近瘫痪的“铁路娃”，被理想大学录取！

国际足联不再按场次支付费用，改为从各队集训首日起至该国最后一场比赛次日止，按日发放津贴，2026年世界杯的每日补偿标准为4330欧元，显著低于卡塔尔世界杯时期的费率。

但模型究竟是在真正预测动作后果，还是主要根据训练数据进行模式匹配，外界并不容易判断。

大批球迷提前数小时便抢占位置，只为近距离目睹英雄风采。

结语 2026年7月15日，世界杯半决赛，西班牙2-0完胜法国。