巴萨仍是阿尔瓦雷斯的梦想之地，但阿森纳正在提供强有力的竞争。

1、kaiyun.com 第一次是在1928年阿姆斯特丹奥运会的半决赛上，阿根廷6-0大胜埃及，塔拉斯科尼上演帽子戏法。

如今，转会拉锯战越拖越长，反倒给了巴萨的竞争对手们时间，让他们有机会在阿尔瓦雷斯的争夺中强势介入。kaiyun.comThe 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、WWE 2K26新赛季今日上线：哈迪兄弟与杰利·罗尔直接解锁

如果等不到，莱比锡已准备好为他翻开职业生涯的下一页。

3、都说二楼狗都不买，会返水，采光差、蚊虫多…

有些公司比较专注，会做好自己擅长的事情；有些公司有能力，也会向更多方向扩展，这完全取决于企业自身能力，以及市场对它的期待和需求。

4、决战山东泰山：浙江队中超黄龙主场收官战，目标直指前六

目前日本队场均失球仅0.33个，防守体系十分稳固。

5、2026参博会

” Kimi总裁张予彤在去年被问到“如何在技术和市场层面与巨头大厂形成差异化定位”时，也提到了类似的看法。

考虑到摩洛哥的防守强度和法国的进攻火力，这场比赛可能不会出现大比分，预测法国1-0小胜对手，次选2-1。

但我觉得，什么都没变。

6、新疆中小学教师资格考试，报名时间定了！

如果只是市场空间大、资产市值小，解释不了价值如何非线性增长，这笔投资就没有找到真正的凸性来源。

据talkSPORT报道，为了压价，阿尔特塔可能会把哲凯赖什加入交易，作为冲抵部分转会费的人头筹码。

7、北京国安开放日 5名主力没合练 周末他们要客场挑战申花

红鸟持有芬威体育集团的股份，而芬威正是利物浦的母公司。

实际上，米兰同时炒掉4名工作人员将花费超过2000万欧元的薪酬开销。

8、电诈以一己之力，干翻了全中国人的接电话习惯

当然，科莫托更大的可能还是继续外租。

真正好的播客，最后还是要从词语回到具体的人。

7月18日，WAIC历史上首个聚焦AI光算力的产业论坛举办。

9、一夜6笔官宣！罗马诺HWG：皇马曼联各有动作，葡萄牙敲定新帅！

Kimi尽管此前公布了收入曲线——3亿美元ARR、API贡献七成、海外付费用户同比增长400%、产品落地200多个国家，但它并没有实现Token的经济性。

一旦断球，两人可以利用速度和技术快速冲击对手防线，这也是埃及最主要的得分手段。

10、越闹越大！英国政府呼吁国际足联：举横幅的阿根廷球员全部禁赛

这让米兰和经纪人门德斯在运作其转会时面临复杂局面。

训练如比赛，我为能在他手下效力感到自豪。

1、今年CBA季后赛！只有一名外援，算得上是超级外援

加德纳被提拔为足球情报总监，协调球探活动，洛蒙特担任球探主管，管理遍布各地的球探网络，负责球员报告和数据分析。

2、C罗VS魔笛告别战！葡萄牙缺爆点存隐患，若到点球大战凶多吉少

夏窗早些时候，罗杰斯的身价被认为在8000万英镑左右。

3、太惊人！美工会密度增至三倍，工人年增薪7700美元缩小工资差_网易订阅

做液冷的、做交换机的、做存储的、做集群软件的，今年名片上都多了"AI基础设施"这一行。最新世界杯历史射手榜！C罗轰入第11球杀进世界杯历史前十它基于灵衢互联协议，提供1 EFLOPS FP8、2 EFLOPS FP4算力，拥有256TB全局统一内存编址空间，RTT时延控制在3微秒以内。

4、扎心！22号秀28仅中1！这彩票没刮出来啊！

福法纳的离队信号比前两人更为明确。

5、乒超常规赛上海地产8-5战胜米粒队 林诗栋表现出色

在筛查层面，提升合成筛查鲁棒性，现有机制需增强对AI辅助分片策略的识别能力，推动ISO 20688等国际标准落地，发展兼顾隐私与安全的筛查方案并加强信息共享。

6、光伏行业治理进入关键时刻，预计2027年恢复需求增长

可以是来自期权、认股权证等合约结构，也可以来自经营杠杆、事件重估或者网络效应。

在诺坎普翻新期间，球队曾于2023-24及2024-25两个完整赛季在此作战。

但考虑到米兰锋无力的现状，阿莱格里很有可能会对他进行重点考察，将在季前赛安排其亮相。

7、AI已成科研「标配」？搁置三年的免疫学谜题，GPT-5解开了

别等毕业，大二就该盯起来了：各家官网的"校园招聘—实习生"入口、牛客网的实习板块、学校就业群的内推消息。

我们找不到破解办法。

8、148.5㎡客厅的一整面书墙，太治愈了

一是综合施策全力维护市场平稳运行，提升资本市场韧性。

此前特斯拉靠出售碳排放积分获取的利润相当可观，但随着其他车企的电动车比例提升，对积分的需求下降，这项收入正在减少。

在SURMOUNT-1研究中，接受替尔泊肽治疗的糖尿病前期肥胖患者平均体重减轻了22.9%，2型糖尿病风险降低了94%。

它的政策备案已开闸，七家巨头已入场，三款“全球首款”已亮相，市场渗透率正在飙升。