但以目前展现出的内容来看，难度显而易见。

1、天博集团app 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。

热刺：还会更烂了吗？ 上赛季的热刺，差点就降级了。天博集团app“网约车之王”的招牌是靠几十万司机的里程跑出来的，但信任的崩塌，往往只需要一颗鼓包的电池。

2、深耕矛盾纠纷化解 筑牢基层平安防线

2024年之前，天齐锂业锂精矿采购采用季度滞后定价模式。

3、五一来南沙看国际比赛！ 2024广州南沙国际网球挑战赛即将上演

两队累计交手32次，英格兰17胜3平10负占据优势，但世界杯赛场的三次对话互有胜负，1966年世界杯八强英格兰2-0取胜，1982年小组赛1-1战平，2022年卡塔尔世界杯八强则是法国2-1淘汰英格兰。

4、上海海港打破蓉城不败金身，仅一次射正便破门，全队狂吃10张黄牌

该行表示金价近期在4100美元附近盘整，美伊局势升级继续给黄金带来压力，央行购金消息虽令市场鼓舞但未能推动金价走高。

5、橡木桶中的世纪回响

国内的情况更复杂，GPU 生态长期占据主导，CUDA 工具链和开发习惯构成了很高的迁移门槛。

在许玮看来，“这是一个超千亿的市场，用存储扩展显存，本质不是为了和谁竞争，更多的是希望让每一块钱的算力投资产出更多Token，让每一家中小企业和开发者都用得起大模型。

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。

6、一场107-97的大胜，让哈登尴尬，骑士感到绝望，尼克斯的压力来了

但德国人曾提出过自己对新东家的要求，那就是确保参加欧冠，现在的形势对米兰极其不利，中场补强可能要另觅他选了。

不是直线爬出来的——费兰的职业生涯从来不是直线。

7、詹姆斯究竟在等什么？只有两支球队真正为他行动 多项传言被澄清

就在瑞士队士气大振之际，场上出现了极具戏剧性的一幕。

WAIC上，几乎所有国产算力厂商都把超节点摆在了展台最醒目的位置，从中兴通讯、壁仞科技、燧原科技、沐曦股份，到中科曙光、阿里云、百度智能云。

8、“女排之父”袁伟民现状：头发全白，定居北京，曾是体育局长

你要知道，麦可思2025就业蓝皮书的数据是，全国应届生平均年薪7.4万。

“怎么搞个欧洲的裁判，最起码要是亚洲或者非洲的吧！”这是社交媒体上最常见的质疑声。

对于米兰来说，如果连续第二年拿不到欧冠资格，冲击远不限于竞技层面，甚至可能会遭遇大崩盘。

9、马斯克开炮：当前人形机器人演示都是远程操控或剧本！行业表演该结束了

这一消息瞬间引发了全球足球圈的激烈讨论，而法国权威媒体《Foot Mercato》更是借势进行了一次大胆推演：如果2026年世界杯直接采用64队赛制，各洲名额将如何分配？令人遗憾的是，即便亚洲区名额增至12席，中国男足依然被无情地挡在了门外。

俱乐部引援层面最直接的打击来自格雷茨卡。

10、梅西举报库库雷利亚：不是输急眼，是底线不能破

据意大利媒体报道，米兰新的管理层架构已经成型，接下来几个月将组建一个整合型工作团队为阿莫林服务，而葡萄牙主帅将在新米兰的阵容规划、构建以及转会市场运作中扮演关键的经理人角色。

这些球员的出售预计可为俱乐部带来可观的收入。

1、辛纳完胜德约科维奇，决赛将战兹维列夫

挪威前两轮火力全开，4-1大胜伊拉克、3-2险胜塞内加尔，核心球员状态拉满；末轮为保存体能，轮换全部主力不敌法国，无伤大雅。

2、死局已注定，美航母仓皇撤退，伊朗盟友果断出击，掐住特朗普命脉

图源：公告截图 而这一负面影响，让滔搏当天的股价一度下挫超20%；7月22日、23日连跌两天，市值蒸发数十亿港元。

3、中国乒协：试行为会员提供购票观赛服务

中昊芯英创始人、CEO 杨龚轶凡提到，当前大模型推理正在走向 PD 分离，所谓 PD 分离，是将模型处理输入内容的 Prefill 阶段，与逐 Token 输出内容的 Decode 阶段拆开调度。中国澳门公开赛：蒋振邦/魏雅欣合体夺冠，胡哲安首度登顶这不仅是一场实力的碾压，更是一场属于法兰西双星的华丽个人秀。

4、全市场：苏莱仍想留在罗马，若无相应新援他留队可能性很大

但这不仅限于我们两人，整个团队在短短几天内就建立了极佳的化学反应。

5、百万涂装，各国航司提前下注世界杯

业绩的爆发式回暖，并没有提振疲软的股价。

6、杜润旺离开广东！3年顶薪到手，徐杰看了眼红，朱芳雨出手太小气

如果你没有，我们就先不浪费时间了。

22/23赛季从埃利奥特基金收购球队后，首个夏窗的主要投资是德凯特拉雷，比利时人以3750万欧元从布鲁日加盟。

想明白这三笔账，你就懂了：那 1 万块，买的不是你现在的产出，是你未来的可能性。

7、手机、座舱、具身，中国最大端侧独角兽低调交出高分卷

原本支撑右尾的事实被破坏，无论盈亏都应重新判断。

三场热身赛防线暴露出注意力不集中的隐患，进攻端把握机会能力也受到质疑。

8、24岁女足后卫加盟伯恩利：我带着心踢球，梦想成真

自2月以来，他仅在对阵那不勒斯时有过1次首发出场，但没能把握住机会为自己正名。

但礼来高层却出人意料地否决了这项申请。

埃及分在G组，取得1胜2平积5分的成绩，以小组第二晋级，他们面对比利时这样的强队不落下风，面对弱旅也能稳稳拿下，防守端虽然丢了3球，但考虑到对手的实力，这个成绩已经相当不错。

变化已经发生，过去一段时间，我们在文娱消费的不同赛道都能感受到这种变化。