当时高盛急需资本和市场信心。

1、米6体育 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。

半决赛的出局，让姆巴佩的2026年世界杯之旅画上了遗憾的省略号，无缘决赛只能参加季军战，更是被刚19岁的亚马尔完成了对姆巴佩的“九擒”，但这并非失败的烙印，而是成长的养分。米6体育镰田大地是一名典型的技术型中场，能踢前腰也能踢中前卫，脚下技术细腻，传球视野开阔，有不错的组织能力和远射能力，而且跑动积极，防守端也能贡献力量。

2、10件平价神器，让我快乐做家务！懒人党亲测，真的不费力～

同赛道的直接对手也不少。

3、王晶透露谢贤晚年没朋友，生前照曝光瘦得皮包骨，俩孙子陪在身边

全场控球率只有28%，射门次数9比21大幅落后，但4次射正就打入2球，反击效率惊人。

4、和讯信息文太彬：4900家下跌，下周股指怎么看？

两类结果相互补充，分别提供产物大小和序列层面的证据。

5、刘宇宁收到任贤齐家乡大礼

资料显示，去年WAIC期间，曦智科技曾发布基于dOCS分布式光交换模组的国内首个GPU光互连光交换超节点解决方案——光跃LightSphereX，并联合中兴通讯、壁仞科技首次进行示范应用，在上海仪电国产超节点算力集群落地，并在今年的论坛上进行了四方联合的落地成果发布仪式。

企业需要重点关注不同层级的数据如何管理，让数据能流到不同的地方，这对企业来说非常有价值。

守门员位置4人入选， 分别是布耶、皮塔雷拉、泰拉恰诺、托里亚尼；后卫包括阿泰卡梅、巴特萨吉、加比亚、希拉、卡拉卡、奥多古、帕夫洛维奇、泰拉恰诺、托莫里；中场人选为西塞、科莫托、福法纳、洛夫特斯-奇克、穆萨、奥索拉、里奇；锋线为卡马尔达、丘库埃泽、盖尔尼耶、科斯蒂奇、恩昆库、伊德里西。

6、“以赛促训、以赛强能” 厦门首次举办森林消防员技能竞赛

法国队全场6次射门机会，没有一次与他有关。

目前荷兰与日本同积4分并列前二，瑞典积3分排名第三。

7、医汇集团(08161)附属租赁香港物业

2024年欧洲杯半决赛，他轰入世界波助西班牙2-1淘汰法国；2025年欧国联半决赛，双方上演5-4进球大战，亚马尔梅开二度再次将高卢雄鸡挡在决赛门外；2026年世界杯半决赛，西班牙2-0完胜，亚马尔造点+全场压制，完成对姆巴佩的“三连杀”。

当对面有梅西时，你确实会担心，但我们一直相信自己，努力踢出自己的足球，我认为我们又一次做到了。

8、上半年预盈1.75亿至2亿元，跨境通靠剥离亏损资产扭亏

王虹、邓煜获菲尔兹奖，中国数学实现历史性突破 2026年国际数学家大会当地时间7月23日上午在美国费城开幕，现场揭晓2026年菲尔兹奖得主。

然而，在刚刚结束的2026年世界杯上，他仅为葡萄牙队出战1场，出场时间的匮乏或许加速了他寻求新环境以及赚取大钱的决心。

2024年以前，国内储能增长主要靠“强制配储”政策推动。

9、经济日报评论员：打造现代服务业高质量发展高地

随着开源生态成熟、算力获取便利，门槛确实在降低。

从长远来看，特斯拉储能业务的毛利率将维持在 20% 的低位。

10、2026选秀大会：猜他们都在想啥？

工程师每周跟客户开会，甚至直接驻场。

如今，历史的门槛近在咫尺，只待下一次射门将它彻底跨越。

1、7岁女孩在电动车上突然被一股强力拽落，重重摔倒在地！交警：穿长裙卷入车轮这一安全隐患近年高发

而最让人触动的是他对自己内心世界的剖白——他承认自己变得对进球过度执念。

2、重磅！杜锋下课，卸任广东宏远主教练，焦泊乔或留队，徐昕迎转机

这意味着，对Anthropic来说，大模型不只是一个效率工具或聊天伴侣，而是一种能服务于社会进化的基础技术。

3、绍兴又有剧组来拍戏！这片临时管控，禁止通行

公司在问询函回复中表示，根据和解书的支付安排，2026年内需支付6.71亿元，2027年内需支付2.19亿元，资金来源拟通过银行贷款及自有资金解决。江苏兴化：力争“十五五”末规上工业总产值达1700亿元中国每卖出10辆新车有6辆以上是新能源汽车 7月23日，商务部消费促进司司长杨沐在国新办发布会上说，6月份，中国新能源汽车零售渗透率达62.8%，相当于每卖出10辆新车就有6辆以上是新能源汽车。

4、演员寇占文被法院悬赏！曾出演《春光灿烂猪八戒》，涉民间借贷近700万

三巨头在把通用DRAM产能转向HBM，主动让出了商品DRAM市场，但也筑高了高端壁垒。

5、致敬传奇卡车改装大师Svempa，波兰货运公司打造‘纪念’版斯堪尼亚卡车，每一个涂装都是满满敬意

说到底，这粒进球属于4700万人，不属于我。

6、时隔4个月，腾讯大模型团队再迎重大调整

作为传统足球强国，巴西队从来不缺星光，但在这届世界杯上，他们过于依赖球员的个人能力单打独斗，缺少整体传控和防守协同。

英超的报价来过，沙特的支票也摆上了桌面，他统统没看。

阿莫林正式上任米兰主帅后，球队的夏窗转会思路逐渐清晰，这位葡萄牙主帅已经向管理层提交了引援名单，其中三个目标都是葡系球员，包括两名阿莫林在葡萄牙体育时期的旧部，以及葡萄牙中锋贡萨洛·拉莫斯，不过马竞是强有力的竞争对手。

7、广东名嘴如今成探店博主，娶圈外富婆生俩娃，54岁他仍潇洒帅气

莱奥、萨勒马克尔斯和埃斯图皮尼安都因为愚蠢的犯规行为吃到黄牌，累积5黄停赛。

K3的API定价也同步对标海外旗舰，输出价格100元/百万tokens，较上一代 K2.6 的27元上涨超3.5倍。

8、21岁小伙失联后续！摩托车被丢国道，监控曝隐情，家属怀疑已遇害

这家公司不做Coding，不抢代码赛道，而是在视觉多模态赛道闷声发力，三个月内完成三轮融资，累计超21亿元，从估值看已经正式跻身全球AI独角兽。

这是马丁内斯全场第五次扑救，也是他在历届世界杯单场扑救次数之最。

如何让主教练、足球主管和体育总监这三个职位形成有效的配合，而不是出现权责不清或者相互掣肘的情况，将是考验米兰管理层智慧的关键。

值得一提的是，这2个月的时间里，争四集团的对手都在秀，只有米兰在挨揍。