业绩集体暴增的关键，是周期的威力再显。

1、博鱼手机 这是两队队史首次在正式大赛碰面，一边是首次闯入世界杯淘汰赛的非洲新贵，一边是时隔28年重返世界杯淘汰赛的北欧劲旅，本场胜负充满悬念。

澳大利亚、东南亚、非洲等新兴市场受电网薄弱和新能源渗透率快速提升的双重驱动，储能需求从“选配”转为“刚需”。博鱼手机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。

2、湖人3年4500万签换库明加？跟队记者：报价与要价仍有差距

米兰想要拿到欧冠名额，最后两轮必须力争全胜，但接下来的赛程极其凶险。

3、沃兰特以全链条布局引领中国低空经济高质量发展

但独家运营权也存在天然悖论：品牌越成功，品牌方自己下场直营的动力就越强。

4、又是杜锋的错？22岁小将合同到期，拒绝续约广东队，徐昕开了好头

这些奖金虽然对于球星云集的强队而言算不了什么，但对于小球队而言就是巨大的金额，有助于提升他们的足球设施以及青训投入。

5、直击WAIC：逛“AI Home”，看京东如何让AI走进物理世界

目前管理层已经十分接近与其完成续约，新赛季，葡萄牙教练将对他的出场时间进行严格控制，预计在各项赛事中出战30场左右。

球队短板较为明显，主力中卫恩迪卡一直在养伤，不知能否赶上此轮淘汰赛，球队防空能力有所下滑。

加时赛阿根廷的意图再明显不过。

6、2026跑步学院夏训营报名启动

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。

到目前为止，红军在转会市场上完成了两笔签约，分别是奥萨苏纳的年轻边锋维克托·穆尼奥斯，以及从雷恩来投的法国中卫杰雷米·雅凯，后者这笔转会此前已酝酿多时。

7、【早报】奥塔门迪官宣退役！德容韧带撕裂恐将缺阵！

HAMR最大的价值在于能够继续突破传统磁记录技术的物理限制，实现更高的单盘面存储密度。

西班牙将在决赛中对阵英格兰或阿根廷。

8、郭艾伦前叉韧带断裂，这伤太致命，真心盼他挺住！

而其他渠道则的价格则低至500多元。

AI手机的底层突围，技术风控只是表层的生死线，更硬的骨头在于利益的重新分配。

多面夹击的生存危机 如果只看融资和技术，极佳视界风光无限。

9、中国签了，新组织总部落户上海，日本拉群想单飞，一个时代已告终

综合来看，美国各方面全面占优，主场赢球的希望很大。

全场比赛，摩洛哥仅仅只有1次射正，其余时间几乎都在疲于奔命地防守。

10、只要2年2800万！不等詹姆斯了，马上完成同城旅行！

最近，福登又成为米兰的绯闻对象，不过曼城对他的估值达到7000万欧元。

瑞士队中场控制力强，扎卡和弗罗伊勒的双后腰组合既能控球又能防守，他们会试图通过中场传导掌握比赛节奏，同时利用边路速度打反击。

1、每天 “摇胯” 100 次，骨盆正了，假胯收进去了，双腿又细又直

2026世界杯即将结束，2026-27赛季英超即将到来，敬请期待。

2、看见那些不被看见的托举——台里女足逐光记

虽然当前呼声最高的是萨里，但米兰主帅阿莱格里也成为可能的人选。

3、挣脱千亿枷锁，走出传媒豪门的逆骨继承者

支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。4月国内马拉松奖金榜：女子选手领跑奖金榜，体制外运动员成主力小组赛阶段，斯卡洛尼的球队展现出稳定的统治力：首轮3比0轻取阿尔及利亚，次轮2比0完胜奥地利，末轮3比1击败约旦，三战全胜积9分以J组头名出线，打进8球仅丢1球，攻防两端表现均衡。

4、6人游发布2.0战略：将定制能力开放给更广泛自由行用户

粗略估算引援投入，拉莫斯约7500万、吉拉约3000万、左翼卫约5000万、中场约5000万、前腰约4500万，总计约2.5亿欧元。

5、王俊杰加盟山西队，山东队官宣2名新球员；上海队冠军不会被剥夺

”在豪掷1.17亿英镑从阿斯顿维拉签下摩根·罗杰斯后，切尔西并未停下引援脚步。

6、别再被营销忽悠！一文读懂AWD和4WD的真正区别

若尤文、米兰和科莫3队同积71分，那么科莫在此小联赛积分榜积7分排名第1，米兰6分排名第2，尤文只有2分排名第3。

从48队的8.5个名额到64队的12个名额，看似增加了3.5个席位，但这部分红利会被整个亚洲同步消化。

时钟指向第106分钟，皮球终于找到了费兰·托雷斯。

7、季后赛仅5+2，三分命中率30%，场上争议不断，他将是雷霆离队首人

比赛大概率会呈现葡萄牙控球围攻、乌兹别克斯坦全员防守反击的格局，上半场可能僵持，下半场随着乌兹别克体能下降，葡萄牙有望扩大比分优势。

"泰恩塔说。

8、朱芳雨赌对了！克里斯被曝惨遭山东队放弃，加盟广东队成首选？

最典型的，是付费内推。

曼联球迷在翻热刺训练基地热身赛的录像来证明自己是对的。

如果能够得到名师的指点，再加上高水平联赛的锻炼，他的未来发展潜力确实不可限量。

本赛季大多数时候，科内都在格罗索的4-3-3体系下充当8号位角色。