当阿根廷迫切需要进球时，梅西拉得更靠边，开始找到了英格兰整场比赛努力封堵的那些角度。

1、半岛体彩 按照目前的行情，罗杰斯的身价预计将超过1.2亿英镑。

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。半岛体彩进攻端，澳大利亚主要依靠两种手段：一是定位球头球，利用苏塔的身高优势在角球和任意球中寻找机会；二是快速反击，断球后直接长传找边锋，利用速度冲击对手身后。

2、世界杯终极遗憾！英格兰王牌被图赫尔毁了，金球奖彻底悬了

就目前而言，巴萨的绝对优先事项是签下一名新的中锋来接班莱万多夫斯基，阿尔瓦雷斯是头号目标。

3、从荷兰体系到意大利的狠，中国球员需要那一点“坏劲儿”

米兰对其估价约2000万欧元，与2024年夏窗2500万欧元引进他的成本价相比略有折扣，这个价格已经相当物美价廉。

4、凯·亚当斯摆海斯曼姿势用错手 自嘲“我该被罚款”

通过AI音乐和AI语音的双轮驱动，趣丸科技正在成为文娱产业的“新基建”提供商。

5、WNBA总裁与球员委员会连夜开会：要求更主动沟通与安全保障

曼联正式敲定从阿斯顿维拉签下29岁的比利时中场核心蒂莱曼斯，俱乐部将直接激活其合同中4100万欧元的解约金条款。

展会现场设置三大路演区，开幕当日共举办 18 场企业主题路演，涵盖新品发布、技术推介、项目签约、区域招商等形式。

在这场“技术流”与“身体流”的巅峰对话中，西班牙队凭借亚马尔制造的点球（奥亚萨瓦尔主罚命中）以及下半场波罗的单刀破门，以2-0完胜夺冠第一热门法国队。

6、Windhorst：与联盟各方沟通后发现，没人知道詹姆斯会去哪

其256通道无线高通量侵入式脑机接口系统，也是国内唯一获批进入国家药监局创新医疗器械“绿色通道”的侵入式脑机产品。

据说OpenAI不止于挖苹果的人，马斯克就多次吐槽，他们机器人骨干也在被OpenAI挖，为此他不得不提高员工薪酬。

7、10家航空公司、5家线上售票平台被约谈

世界杯前，这位巴萨边锋的身价为2亿欧元。

英格兰方面，萨卡和戈登两大边锋状态很不错，加上状态火爆的凯恩和贝林厄姆，英格兰阵容实力和厚度还是要强于挪威的。

8、含金量还在上升！西班牙本届7战6胜 仅闷平佛得角

一个能长期运转的算力平台，必须把这些参差不齐的需求拼成一张完整的排期表：高峰期保重点任务，低谷期导入高通量作业，靠负载互补削峰填谷。

这款模型让月之暗面第一次在技术证明、需求溢出、商业化提速三条线索上同时拿到硬筹码。

之所以要“扬短避长”，实则是便利店切入新鲜零食赛道的务实考量。

9、脸丢到全世界！世界杯严查阿根廷！输球围殴对手，教练挥拳打人

一位AI投资人向「硅基研究室」形容：“DeepSeek可能是现在AI模型里最大的共识，但Kimi还不是”。

但在球队整体运转流畅、战绩稳定的背景下，这样的期待或许仍显奢侈。

10、新鹏城3-0西海岸止连败，蓉城战平铜梁龙，积分榜出炉

而在这场失利的漩涡中心，除了凯恩自身的挣扎，英格兰主帅图赫尔的战术安排，更是成为了外界口诛笔伐的焦点。

在百忧解的光芒之下，GLP-1的减肥潜力不过是茶余饭后的谈资。

1、阿根廷教练回应“拳击”奥尔莫：只是推了一下，国际足联已启动调查

2019年12月，他在佩纳罗尔开启了执教生涯首秀，但仅带队11场取得4胜便黯然下课。

2、邵阳提升防汛、地质灾害应急响应至三级

现在很多AI产品会结合用户过去的使用记录和交互历史来理解需求，这意味着系统需要长期保存大量上下文信息和记忆数据，只要开始用Agent，存储方面的储备一定是非常巨大的。

3、印度24岁农民之子首秀国家队，曾轰出154.2公里/时赛季最快球

成立于2015年的觅光，最初以智能化妆镜切入市场，凭借差异化定位和小米生态链资源，觅光较早完成了品牌认知积累。曼晚：曼联在M费交易上表现得如此冷静是有原因的；记者：曼联已基本和M费达成个人条款协议之所以要“扬短避长”，实则是便利店切入新鲜零食赛道的务实考量。

4、在亚太转了一圈后，莫迪迟早要意识到，他最终还是要求到中国面前

25/26赛季，恩昆库作为转会标王从切尔西加盟，各赛事35次登场仅贡献8粒进球和3次助攻，表现缺乏连续性。

5、NFL分析师评猎鹰非四分卫MVP候选：罗宾逊被视为首选

这场决赛的渊源，早在19年前便已埋下。

6、中南大学：坚决拥护党中央和中央纪委国家监委决定

韩国近10场取得6胜2平2负，进18球失10球，预选赛不败晋级，亚洲杯表现稳定。

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。

薯片便宜几毛，克重却少了；饮料标价更低，容量也跟着缩水。

7、西班牙世界杯凯歌：主帅果断换人致胜，两大替补联手撕碎阿根廷防线

三只星星人在跨年夜舞台上表演，表演视频在社交媒体一度刷屏，形成了极为破圈的影响力。

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。

8、吃完感冒灵不能开车了！国家药监局发布新规

许多基金规模只有两三千万，除了投了一两个当地的“关系户”项目，或者干脆空转吃管理费外，毫无效率可言。

更重要的是，如果所有厂商最终都走向“系统底层重构+智能体助手”的同一条路，AI手机会不会重蹈智能手机的覆辙，从参数内卷走向功能同质化？ 结语 写到这里，笔者不禁想问，AI手机真的来了吗？ 答案是：来了，但还没到。

这种“先手”优势，让中际旭创在产业链中占据了主动的位置。

他一直有疼痛感，不幸的是，这次疼痛到了无法承受的地步。