渠道商替品牌完成市场教育，也意味着替品牌降低了摆脱渠道的成本。

1、亚娱体育 这背后的关键支撑是，特斯拉季度交付汽车 48.01 万辆，同比增长 25%，环比增长 34%，两年以来最好的季度交付。

最沉重的一击发生在2024年4月21日，伯纳乌的国家德比。亚娱体育随着四分之一决赛于本周四在波士顿打响，法国与摩洛哥一役结束后，皇马仍有6名球员留在争冠序列中：库尔图瓦、科纳特、库库雷利亚、楚阿梅尼、贝林厄姆和姆巴佩。

2、配速329跑5公里用时17分31秒，是什么跑步水平？

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。

3、CBA快讯！徐昕向国家队请假，吉林放弃曾繁日，辽宁争抢段睿骐

随后球队将飞赴都柏林，于8月5日对阵另一支西甲球队皇家贝蒂斯。

4、5年无“掌舵人”，万联证券公开招聘研究所所长

两者必须分开看。

5、苏度科技 WAIC 首亮相：现实是机器人的终点，不是训练的边界

防守端球队体系成熟，非洲杯7场比赛5次零封，世预赛10场7次零封，库利巴利指挥的防线紧凑且对抗强硬，进攻端一旦断球就迅速反击。

" 然后，广场上响起了整齐的呼喊。

尽管英超内部仍有球队对他有意——热刺此前就与他传出过绯闻——但尤文如今也已入局，正在积极争取将这位葡萄牙边锋带到都灵。

6、曝詹姆斯与一支球队基本敲定签约！文霍斯特：这支球队不是骑士

到了大二下，第一次窗口开了——盯日常实习和暑期实习提前批。

科莫托的短板是处理球的稳定性和在受压下的控球、择球能力仍需打磨，他的很多丢失球权发生在试图强行转身或被包夹时急于出球的情况下。

7、越是上流人越下流？亿万富豪被曝猛料，生上百名孩子真相颠覆三观

我不想抹杀我们此前所做的一切，但这场比赛西班牙确实展现出了更高的水准。

讽刺的是，尽管网站显示有数百万人呼吁将阿根廷踢出世界杯，但在“GOAT”投票中，真正参与C罗与梅西对决的仅有十几万人。

8、局势反转！曾经的克星成队友，字母哥调侃：终于不用赛前猛补觉了

这与很多人的加仓习惯相反，很多人常常看到价格下跌而加仓，因为低价意味着便宜。

有创意营销 Crocs官宣樊振东为全球品牌代言人 7月17日，Crocs正式官宣乒乓球奥运冠军樊振东成为全球品牌代言人，并同步发布全新产品宣言「我控场」（Let Them Talk），携手呈现全新运动风格鞋款。

这支球队最大的特点就是防守坚韧、战术执行力强。

9、上市前夜

2026年美加墨世界杯激战正酣，皇家马德里虽未以庞大参赛人数著称，却凭借顶尖球员的卓越表现，正逼近一项尘封已久的历史纪录。

而耐克两轮DTC看似不同，实则都在重复同一个动作：授权可以给，也可以收；渠道拥有的，从来都不是所有权，而只是阶段性的经营权。

10、不走了！曝CBA顶级射手留在北控男篮，上赛季遭雪藏只打10场比赛

当终场哨声吹响，谁在托举球队，谁在消耗队友，答案早已写在每一寸绿茵场上。

值得深思的是，红鸟掌控的另一支球队图卢茨也正面临管理混乱的问题，遭到球迷的集体抵制。

1、俱乐部与青岛市社会心理健康公共服务中心签约，开启“体育心理赋能”新篇章！

2026年美加墨世界杯是首次扩军至48队，这么多球队晋级四强的球队刚好是国际足联排名前四球队，这是世界杯历史上首次出现这样的壮举，这意味着本届世界杯半决赛没有一丝一毫的水分，最强四队争夺两个决赛名额，法国vs西班牙、英格兰vs阿根廷。

2、AI竞赛并非单维竞速

今天，北方华创已经坐稳中国半导体设备第一的位置。

3、足篮两用，切尔西在里约热内卢打造了一片社区球场

但问题是，DNA序列本身没有善恶标签。四大一线城市房价继续修复上涨2017年初，戴文睿（David Ricks）接任礼来CEO，彼时公司市值仅约800亿美元。

4、风口上的一人公司：痛点、诱惑与现实

因专利到期，仿制药蜂拥而入，致使大单品百忧解销售额骤降80%。

5、希腊怪兽也会胆怯！字母哥自曝交易后惶恐，坦言自己只是普通人

就在6月底之前，他还被视为俱乐部获取即时收入的重要资产，但如今这一紧迫性已不复存在。

6、合同即将到期，但篮网似乎并没有要立刻续约锋线球星的打算？

巴菲特在2008年金融危机中投资高盛就是类似的凸性投资。

进球后的激情呐喊，是阿尔瓦雷斯压抑许久的情绪释放。

同时，硬件为模型反哺真实的用户交互数据，因此构建了一个系统级的护城河。

7、切尔西接近签下勒沃库森18岁新星，3000万镑身价靠阿隆索关系搞定

自2010年南非世界杯夺冠后，斗牛士军团经历了漫长的蛰伏。

据中科宇航介绍，力箭一号运载火箭聚焦微小卫星发射市场，匹配批量组网、快速补网等任务，提供吨级班车化发射服务，构建专车、拼车、顺风车发射服务体系。

8、小米扔深水炸弹：100000h真实数据，首次系统验证机器人Scaling Law

斑马军团在与米兰的相互交锋战绩持平的情况下联赛总净胜球占优，因此同分时会排在前面。

8粒进球、4次助攻，独造12球的数据让他成为本届赛事最耀眼的明星。

有梅西在，德保罗、恩佐等中场甘愿包揽脏活累活，全队踢得从容且安心。

作为波黑国家队的一员，年仅18岁的他在世界杯的舞台上展现出了远超年龄的成熟和自信。