面对这三道锁，头部企业的应对已经从“被动合规”走向“主动制定规则”。

1、乐鱼APP ” 这场失利意味着法国队连续三届闯入世界杯决赛的纪录宣告终结。

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。乐鱼APP奥地利3比1击败约旦，虽然赢球，但过程并不轻松，面对亚洲球队的密集防守显得办法不多，阿瑙托维奇替补登场才扭转局面，其体能状况只能支撑半场左右的高强度对抗。

2、阿森纳官宣萨利巴背部重伤将长期缺阵 曾世界杯带伤硬扛半决赛30分钟伤退

尽管曼城有强烈兴趣，但里尔1亿欧元的要价可能成为一大障碍，这家法国俱乐部目前丝毫没有降价的意愿。

3、赫尔城主席被转会传闻“打扰”，发帖用国旗和百分比透露引援进展

比赛预测与看点 综合来看，乌拉圭在整体实力、中场控制、个人能力方面都占据明显优势，尤其是巴尔韦德领衔的中场，对沙特形成碾压级优势。

4、迪马塔刚为铜梁龙打入绝平球，赛后就向球迷做出承诺，将全力以赴

这些合照和视频自然引发了广泛关注。

5、央媒看大连丨新华社：又见达沃斯，又见山海情

从慢镜头来看，撞击角度并不算特别刁钻，但力度相当大，洛卡特利的额头直接撞上了莫德里奇的左脸。

乌兹别克斯坦在卡纳瓦罗的调教下主打3-4-2-1防守反击体系，防守时全员回撤切换为5-4-1低位防守。

其中Field AI背后，同样站着英伟达、比尔·盖茨、贝索斯等重量级投资人。

6、估值2200万欧元！奥格斯堡铁卫无限接近水晶宫

钱还没正式花出去，他先见识了这行的另一面。

世界杯半决赛，西班牙2-0完胜法国晋级；阿根廷2-1逆转英格兰晋级。

7、官宣：安德雷·桑托斯加盟曼联

对于一位35岁、职业生涯荣誉等身的老将而言，以替补身份结束国家队征程无疑充满遗憾。

谈及此事，他表示球队必须像享受胜利时一样，体面地接受失败。

8、姆巴佩哈兰德梅西连续上演进球表演，C罗压力重重

此后，小红书、腾讯等机构相继入场，而此次濉溪县新兴产业投资基金的投资，则是觅光时隔两年后再次获得外部融资。

打印机负责把用户带进来，MakerWorld、耗材、配件和创作者交易则在机器售出后继续产生收入。

卢库米刚刚代表哥伦比亚征战了2026年世界杯，合同仅剩1年且明确不会续约，博洛尼亚必须在今夏将其变现，否则明年将面临免费流失。

9、这一国家级大赛，将在浙江举办

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%。

鼓励公共体育场馆结合实际需求进行数字化、智慧化改造升级，积极探索开展线上线下结合的群众赛事活动。

10、鲁能双星惊艳凤凰山！留泰山进不去大名单，刘建业完爆约翰，蓉城真核必须换

这场对阵卡利亚里的失利就像多米诺骨牌的第一张——推倒之后，米兰欧冠资格丢了，免签目标退了，核心球员面临出售，关键续约被搁置，管理层等待重组，引援预算和吸引力双双缩水。

阿莱格里对拉比奥特欣赏已久，有意将这位法国中场带到自己即将执教的球队。

1、瑞士挑战联赛揭幕战：洛桑奥奇主场迎战尼奈斯

随着比赛进入60分钟的分水岭，西班牙在经历加时赛后的体能劣势可能会显现，边路回追与中场覆盖能力或将下滑。

2、决赛重演？FIFA希望阿根廷西班牙欧美杯继续进行 或定在11月

这相当于从“硬闯”变成了“协商进门”。

3、阿森纳官宣4000万欧签下希腊边锋齐托利斯 签约5年披枪手战袍

下一步，管理层将把这笔钱再次投入转会市场，以补强前腰、边翼卫、后防线等多个位置。复刻赖斯史诗级引援！阿森纳截胡利物浦！瞄准世界杯亿级天才这样的话，米兰的成本会低很多，也不用承担转会费的风险，踢得好可以考虑买断，踢不好就退回去，比较灵活。

4、南京鼓楼开展“诗话金陵”分享会，著名学者莫砺锋现场开讲

赛前，当外界质疑亚马尔年少轻狂时，这位19岁的少年用一句“如果要有一方害怕，那应该是他们”做出了最强硬的回应。

5、离谱！世界杯争议点球！法国全队暴怒抗议！亚马尔疑似手球在先

” 换句话说，养宠物的麻烦，恰恰是情感升温的关键。

6、卡里克挖到宝了！曼联 21 岁新星蜕变！全能天才成红魔最大惊喜

球迷们的热议一针见血：上半区的法国与西班牙，已经凭借极其稳定的表现，成为了本届赛事最接近大力神杯的球队。

从纸面实力来看，德国队的优势巨大。

当第22分钟左后卫迪涅送点导致球队落后时，全队心态明显失衡，技术动作变形，缺乏破局的B计划。

7、一个月内两大英格兰中场接连破纪录转会，他们凭什么这么值钱？

十、家庭视角：信息差背后，是资源差 得说点扎心的。

英格兰队在世界杯半决赛1比2遭阿根廷逆转，赛后，前英格兰国脚、曼联名宿鲁尼将矛头直指主帅图赫尔，称其保守的临场调整葬送了球队的决赛资格。

8、拉塞尔亲承遭遇F1生涯最艰难心理战：奔驰查出软件缺陷致退赛

一句"未来属于你们"，就够了。

2023年夏天，沙特联赛横空出世，C罗、内马尔、坎特、本泽马……，一长串响当当的名字接连登陆，震惊了整个足坛。

杨植麟的判断是，公司B/C轮融资金额就超过绝大部分IPO募资及上市公司的定向增发，因此“择时而动，主动权掌握在我们手中”。

背后的逻辑是，出口增值税退税截止前的抢产，过度悲观的市场情绪修正，以及真实的供应短缺。