去年末，华为与珞博智能联合开发的首款AI宠物“智能憨憨”，定位“心灵树洞”型情感陪伴产品，开售即秒罄。

1、乐鱼电竞 Score90的发问，本质上是在探讨两种截然不同的足球哲学。

西班牙将在决赛中对阵英格兰或阿根廷。乐鱼电竞相比之下，阿根廷则一路苦战，从佛得角、埃及和英格兰身上拼下了胜利。

2、2026怡宝中乙联赛5月最佳阵容出炉

2026年半年度实现营业收入6.2亿元至6.4亿元，同比增加65.24%至70.57%。

3、环境保护税明年扩围，印刷等八大行业开征挥发性有机物环保税

四年前在卡塔尔，他们正是在点球大战中负于阿根廷。

4、世界杯参赛球员所属联赛：沙特联赛水平低？但球员数高居第六！

局面变成1比1后，阿根廷人攻势不减，仅仅过了六分多钟，劳塔罗·马丁内斯便打入反超一球，完成绝杀。

5、霍尔木兹海峡附近一商船遭袭，船上有30名船员

在法兰克福的六个赛季，他逐渐成长为球队的中场核心，帮助球队拿到了21-22赛季的欧联杯冠军。

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。

但半导体设备是典型的成长股，不能只看当下利润。

6、盘锦市防汛抗旱指挥部通知！7月13日全市各级各类学校停课

赢下国米后的最近8轮联赛，米兰累计丢掉12球，场均失球1.5粒，翻了一倍多，零封场次仅2场，零封率跌至25%。

而同一区县多个部门重叠重复设立的基金，则被打包归并，统一划转至省级或市级集中管理。

7、大巴黎蝉联欧冠，阿森纳再走麦城！

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。

两人在俱乐部的一次复古球衣拍摄中相识。

8、7.20世界杯决赛：西班牙vs阿根廷

但即便这笔买卖最终落地，也很难单靠它来解决马竞的财务窟窿。

从甘肃的严寒到广西的洪涝，从地震到水灾，这支来自南美的球队用实际行动证明，他们对中国球迷的爱，从来不是停留在口头上的客套，而是记在心里、落实在行动上的牵挂。

To B需求会增长但最终存在上限，API可以支撑公司生存却不一定能带来超额利润。

9、锁单过万，ID.9X一炮而红！上汽大众夺回市场：后续6款车锁定TOP3

LABUBU与世界杯的联名破圈效应显著，在乐园的主题美陈前，我看到一对身着阿根廷球衣的夫妻正在和LABUBU合影。

罗德里在西班牙捧起队史第二座世界杯的征程中找回巅峰状态，荣膺象征赛事最佳球员的金球奖。

10、1200+岗位！下周五，郑州这里有夜市招聘会

在夏窗未能及时补强后腰短板、中后场伤病满营的背景下，教练组未能通过战术捏合弥补阵容缺陷。

当然，米兰引进努涅斯也要冒一定的风险。

1、0-2到3-2！梅西传射导演逆转！阿根廷13分钟狂追3球翻盘淘汰埃及

Ricks回忆道：“那就像一个巨大的绿灯。

2、六年前的机床操作工，用双响绝杀拯救德国队！

两支球队风格迥异、各有所长，这场对决注定充满看点。

3、忍无可忍？本土能源遭连环轰炸，俄强硬派不装了：为何不用核武！

荣耀：给手机装上“脑”和“手” 荣耀的选择最为独特。2026美加墨世界杯淘汰赛次轮最佳阵容！独缺瑞士球员！曼联正式敲定从阿斯顿维拉签下29岁的比利时中场核心蒂莱曼斯，俱乐部将直接激活其合同中4100万欧元的解约金条款。

4、好消息，湖人队将G联赛教练纳入教练组，曾培养过布朗尼·詹姆斯

卡迪纳莱亲自下场是米兰转会策略转向的核心原因。

5、全球连线｜国际射联主席罗西：力推奥运首金重回射击

英格兰队在晋级之路上付出了不小代价。

6、这个不起眼的习惯，竟会引发全身“炎症风暴”！2招帮你缓解

这种决定比赛走势的属性，使他跻身世界最炙手可热的前锋行列。

你干三个月，公司把你摸得底朝天，比面试十轮都准。

三是从严监管维护市场“三公”。

7、任期至下届世界杯结束！德国国家队主帅出炉，铁血战车要回来了？

巴萨因此预判，届时将再次跌出“1比1”规则范围，2027年夏季转会窗的引援注册将受到限制。

数据是冰冷的，说明的问题却是炙热的，在世界杯这个足球最高级的殿堂，足以说明足坛压根没有什么梅罗争霸，没有什么双骄，只有负重前行的球王梅西。

8、气象台不敢报40℃？真相来了！（2026·07·17）

2026美加墨世界杯H组首轮将在迈阿密体育场展开较量，沙特阿拉伯对阵乌拉圭。

最终哪条路线能落地，还得看物理真实性够不够、端侧实时性能跟不跟得上，这些都需要时间检验。

而对于阿根廷球迷而言，他们或许更关心：这位四年前曾见证球队爆冷输球的“老熟人”，能否在决赛中给予他们一个公正的舞台？我们拭目以待吧！2026年美加墨世界杯的亚特兰大之夜，对于英格兰队长哈里·凯恩而言，注定是一个漫长且寒冷的梦魇。

巴西（第五，升1位）和摩洛哥（第六，升1位）双双超越葡萄牙（第七，降2位）。