在AI创作生态链上，吴太兵给万兴科技划定的位置很明确，只做工具层。

1、博富体育 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。

希拉的转会费为2700万欧元固定加300万欧元浮动，年薪同样是450万欧元，但得益于意大利的增长法令税收优惠，在五年合同期内年均成本同样控制在1180万欧元上下。博富体育正是这种居高临下、缺乏基本礼貌的沟通方式，触碰了梅西的底线。

2、安踏的攻与守，李宁的破与立

他认为，眼下这支英格兰队展现出的强度，和英超俱乐部相比有明显差距。

3、跟着龙舟游邵阳③

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。

4、89比96负掘金！猛龙3胜2负结束夏联，旧将拉姆齐9投全中砍20分

紧接着技术总监一职也有了眉目，俱乐部已经非常接近签下克勒舍。

5、百球赛第六季伦敦开打：成人票14镑起，家庭看两场不到40镑

美加墨世界杯小组赛出局后，乌拉圭国家队迅速完成换帅。

市场的担忧集中在三点。

阿拉伊贝戈维奇之所以能够引起这么多豪门的关注，与他在世界杯上的惊艳表现密不可分。

6、1746个螺母被认定为枪支散件，五金厂老板获刑四年，其父：螺母系玩具商定制安装在玩具水弹枪上

五年光阴流转，两人已蜕变为各自国家队的领军人物。

无论结果如何，这场“西法大战”都注定将成为本届世界杯的经典对决。

7、罗德里被指推动转会皇马，但即将接受背部手术

回首过往，齐达内的执教履历堪称辉煌。

吴太兵认为，AI影视最重要的趋势之一是创作群体的扩大，以前专业导演才能制作的内容，往后可能每个人都可以创作。

8、阿根廷足协否认主席被美国法院传唤：这是彻头彻尾的假新闻

对于一贯要求高投资回报率的红鸟来说，塔雷的工作还是远远不够，他们正在评估夏天更换体育总监的可能，亚特兰大总监达米科成为潜在接替者。

梅西将会冲击个人第二座大力神杯，这才是球员的最高荣誉，没有之一。

在有统计以来，阿德耶米以36.65公里的时速位列德甲历史第六快。

9、一个错误车牌引发的连锁拦截：两名汽车记者先后被警方持枪包围 系统方称运作“完全正常”

原因很简单——他们苦追已久的首选目标埃米利亚诺·马丁内斯，至今没有实质性进展。

长鑫在HBM上的进展，决定了它能不能从吃剩饭变成抢主菜。

10、中央5台直播世界杯时间表：明天7月19日CCTV5直播，法国PK英格兰

而如今的法国三叉戟，则是德尚战术体系下的完美产物。

" 这位皇马球星补充道："我们的计划是对他们进行高位逼抢，不让他们进入那种缓慢、有控制的节奏——因为论掌控比赛，他们比我们强。

1、印度冰球首对母子上演世界杯传承：母亲1998年征战荷兰，儿子27年后同地首秀

关键对位方面，哈兰德与库利巴利的直接对话最值得关注，当世顶级中锋对阵非洲顶级中卫，两人的较量很大程度上决定比赛走向。

2、8球4助的梅西输给0球0助的罗德里：世界杯金球奖到底凭什么？

但我会珍视关于这支球队的记忆，珍视他们所取得的成就，以及一路走到这里的分量。

3、2024奥运刚当旗手，2028洛杉矶主场在召唤！勒布朗真要打到44岁？

Agent本身也会生成大量新数据，无论是视频、图像、文本，还是推理过程中产生的KV Cache，都会进一步推动数据规模增长。旭烈兀的地盘比别人还大，还执着于山西的农户，究竟是怎么回事？一签赚4300到8300元。

4、英格兰2027年夏季赛程发布：男女背靠背打英澳对抗赛

那不仅仅是狂喜的宣泄，更是一位老将对足球最纯粹热爱的极致流露。

5、申花留力杯赛？司机真负责就下课吧！津门虎助教有能，于根伟不如继续禁赛吧

上赛季的英超质量不算高，这一点大家基本认同。

6、过去七天，体育圈不止世界杯决赛，格拉斯哥2026蓄势待发

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。

研发费用的增量，主要来自Cybercab、Optimus、Tesla Semi 等新品量产前期的投入，以及新增 AI 算力硬件成本。

国家发展改革委创新和高技术发展司相关负责人表示，AI手机、AI电脑的销量预计将首次超过非AI产品。

7、火星撞地球！世界杯半决赛出炉：英阿大战 法国战西班牙

" 他还威胁对西班牙商品加征超过100%的关税，这将对西班牙每年超过180亿欧元的对美出口造成毁灭性打击——发动机、建材、葡萄酒、橄榄油，无一幸免。

简单来说，阿莫林的体系里有莱奥的位置，但需要为他调整阵型结构，同时也要接受他在核心肋部区域贡献不足的短板。

8、曝曼城正谈判18岁法甲硬汉中场，上赛季42场1助攻，合同至2029年藏变数

更关键的是他曾多次在公开场合宣称自己是米兰的忠实球迷，当然布鲁日是很难缠的谈判对象。

将这套成功的管理团队整体移植到米兰，能够最大程度地减少磨合成本，快速提升俱乐部的运营效率。

2.1亿欧元预支款因此被分为两部分。

卡迪纳莱去年在麻省理工斯隆体育分析大会上就曾公开表达过对利物浦模式的欣赏，他表示自己之所以投资芬威，是因为非常尊重这家公司的管理层和他们在利物浦取得的成就。