2023年初，研究机构LightCounting甚至预测当年以太网光模块市场将萎缩10%。

1、博亚平台 你越早进我的池子，越不容易被对手挖走。

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。博亚平台主帅图赫尔也坦言，当赖斯说出自己处于“剧烈疼痛”中时，那意味着他已经接近了承受的极限。

2、综艺欠薪2800万背后，市场步入寒冬？

瑞典人是老板卡迪纳莱的高级顾问，因此并非管理层正式成员，他在新任管理层领导的选择上拥有很重的话语权。

3、AI为在测试中拿高分 自主入侵他方系统

胡梅尔斯这番话，说得不客气，但句句戳在德国足球的痛处上。

4、世界女排联赛总决赛：中国队晋级四强

游乐设施和嘉年华也是讲故事的一种方式。

5、随着女篮86-76南苏丹，世界杯晋级形势变了：宫鲁鸣迎关键抉择

皮尔斯的建议，正是基于对淘汰赛阶段体能分配与伤病管理的深层考量。

眼下最现实的问题是：下周一，巴萨全队将启程前往英格兰的圣乔治公园进行下一阶段季前集训，主帅弗里克需要做出一个短期决定——是否带上特尔施特根。

病毒式的关注让鲍尔斯几乎一夜之间成了网络红人，Instagram粉丝突破34万。

6、国安官方公布二转报名表，外援中卫斯帕伊奇替换前锋恩科洛洛

首轮面对刚果，球队全场占优却被对手1-1逼平，爆出了不小的冷门，暴露出慢热和攻坚效率不足的问题。

奥地利则是典型的朗尼克式高压足球，主打4-2-3-1阵型，核心战术是极致的高位逼抢和快速攻防转换。

7、超级外援被老东家放弃！打球太脏，或就此离开CBA

最近又多了一个更漂亮的词：奥德赛时期。

瑞士：欧洲铁军的控球哲学 作为世界杯常客，瑞士队FIFA排名第18位，全队身价约3.18亿欧元，19名球员效力于五大联赛，阵容厚度堪称B组之最。

8、豆包2.1 Pro模型发布，Coding与Agent能力跨越“质变点”

” 华尔街担心的不是Kimi K3，而是一旦中国开源模型所代表的免费AI加速渗透，将会进一步影响云厂商和模型厂商的算力投入回报率。

值得一提的是，如果这笔租借最终成行，特尔施特根将与米歇尔重逢。

我是想说：机会的窗口，确实在变小、在提前。

9、急了!NBA总裁萧华敦促詹皇尽快做决定,各大球队转播商希望敲定赛程

具体来说，储能毛利率从39.5% 到 20.4% 的背后，是质保计提、关税优惠消失、市场竞争加剧三个因素叠加。

主帅德拉富恩特对经典Tiki-Taka进行了升级，摒弃了低效的无效控球，强化边路冲击与纵深打击，攻防转换节奏明显加快。

10、在“竞速实验场”，苏翊鸣、拉塞尔、窦靖童共同探索速度的表达

据知名记者罗马诺证实，阿斯顿维拉已于近日与球员经纪团队展开新一轮实质性接触。

边路单兵突破、肋部穿插配合、反击倒三角回传是法国队最主要的得分手段。

1、00后“吃谷”：赛格火力圈轰出“二次元大楼”

球队将更加注重年轻球员的发掘和培养，通过低买高卖实现俱乐部的可持续发展。

2、火箭对阵鹈鹕前瞻 两支锋线大队正面较量 空间将能左右比赛的走势

值得一提的是，此前三支达成18球纪录的俱乐部所属国家队均闯入了当届决赛。

3、今年的足协杯决赛，能不能上演“上海德比”

同期，动力电池出货量约630GWh，同比增长超30%。卡布：想成为世界上最好的球员之一 还有很多工作要做随着比赛进入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。

4、Stellantis称难以匹配中国车企投资水平 将调整电动车战略

滔搏是耐克在中国最大的经销商，双方合作已逾27年。

5、庄宇珊巨星风采，中国女排3-1波兰队，三连胜拿到南京站亚军

赛前，亚马尔的一番表态显得颇为大胆，但在巴塞罗那俱乐部并肩作战的孔德看来，这并非不尊重对手。

6、火箭对阵公牛前瞻 面对无欲无求的公牛 火箭是否能延续连胜

切尔西和曼联对其十分关注，同时存在潜在的球员交换。

这就演变出了早期投资都需要对赌的荒诞一幕。

当旧梦难以照亮今朝的失意，这位曾经无所不能的超级巨星，或许也需要学会在喧嚣的舆论漩涡中，坦然接受英雄迟暮的无奈与释怀。

7、镜报读者票选世界杯最佳评论员：鲁尼得票率41%力压基恩居首

主菜是资本开支的“脱缰”。

AI、动力电池、人形机器人、商业航天等硬科技领域公司股价纷纷上涨，一批实控人共享财富盛宴。

8、彩经前瞻：青岛海牛vs天津津门虎，抢夺保级路“6分”关键战

西班牙队传控打法，佩德里状态一般，好在罗德里状态恢复巅峰七八成功力了，若西班牙队的两个边锋被法国队压制的话，那么法国队在攻防转换的时候就会发起致命一击。

具体来说，储能毛利率从39.5% 到 20.4% 的背后，是质保计提、关税优惠消失、市场竞争加剧三个因素叠加。

广汽埃安敢于兜底的底气出自“问题电芯”，而中创新航则是小心翼翼的讲是“系统故障”。

当算力与存储无法保持同步演进，GPU便难以持续"吃饱"，整个AI基础设施的性能天花板也不再由计算芯片决定，而开始受到存储架构和数据流动效率的制约。