随着法国队的黯然出局，西班牙队已经成功拿到了决赛的门票。

1、云开体育 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。

1/16决赛中，加拿大对阵南非，全场占据优势但久攻不下，直到伤停补时第92分钟，队长欧斯塔基奥轰出死角远射完成绝杀，队史首次闯入世界杯16强，创造了加拿大足球的全新历史。云开体育意甲第36轮主场2-3输给亚特兰大，米兰不仅输掉了比赛，还输掉了三名主力出征热那亚的资格。

2、向黑手党学治国？哥伦比亚新总统下令，文化部长打响一场特殊战争

GLP-1类药物驱动了礼来约80%的经济价值，这个数字本身就是对当年那个错误决定最响亮的嘲讽。

3、中方抓获美间谍，美国务院急要人！他掌握的技术让中国揪出核弹？

北京时间7月15日凌晨3时，2026年美加墨世界杯首场半决赛落下帷幕。

4、美记晒出交易猜想：火箭6换2得字母哥 两大年轻人离队能舍得？

在社交网络上，“图赫尔真的是追着凯恩杀”成为了最热门的调侃与控诉。

5、papi酱，你要毁了这个互联网吗

这种心理优势，加上连续零封带来的防守自信，让他们在面对强敌时更加从容。

中场方面，虽然管理层正在积极洽谈免签格雷茨卡，但他们还想再引进一名新援，萨索洛23岁的小将科内成为重点关注的目标，他的市场价值接近2500万欧元，卡马尔达可能被加入交易。

资本开支 57.89 亿美元，是去年同期的 2.4 倍。

6、迪哲医药上半年营收同比涨超47%

这种不追求华丽数据，但强调关键时刻抗压能力的“马竞哲学”，使得他们在各自国家队中如鱼得水，能够完美适配顶级赛事的高强度对抗，马竞出来的球员都是能干脏活累活又能打硬仗的球员。

当然，新的管理架构也面临着挑战。

7、VoxelSensors与高通合作优化XR传感技术

但云的商业模式建立在标准化和规模化之上，天然优先服务需求量大、负载可预测、毛利结构清晰的客户。

但储能市场的客户多元得多：电网公司关注长循环寿命与安全，数据中心业主需要高倍率与极致可靠性，海外项目要求全生命周期的合规与可追溯性。

8、为什么这6种沙发突然“跌下神坛”？听老师傅说完，恍然大悟

而西班牙的防线，本身就是最好的进攻——整届赛事至今只被德凯特拉雷攻破过一次球门，再没人做到过。

奥多贝尔和哈维·西蒙斯均因十字韧带伤势仍在恢复期，门将维卡里奥则因小伤缺席此次行程。

非洲劲旅采用4-2-3-1阵型，主打防守反击。

9、重磅预热！两日连唱！7月24-25日@中卫沙海星空合唱，无人机光影秀点亮大漠夜空

据《国家报》最新消息，巴萨高层内部对于今夏签下阿尔瓦雷斯颇有信心。

这50天的“刹车”，像是一场分化。

10、莱纳德要回猛龙了？

外交部：中方一贯反对将科技经贸问题政治化、工具化 7月23日，外交部发言人林剑主持例行记者会。

LABUBU先后登上纽约梅西大游行、在墨西哥和美国亮相世界杯开幕式和决赛、半决赛现场，成为了在全球出场的「大明星」。

1、宝山打造产业协同创新平台 光创新联合体助力光电产业成果转化

我见过拿了高薪实习的同学，三个月瘦了十斤，半夜在朋友圈发"撑不住但又不敢走"。

2、物理类过了特控线能报哪些大学？这四个“黄金选项”深度解析

赢下国米后的最近8轮联赛，米兰累计丢掉12球，场均失球1.5粒，翻了一倍多，零封场次仅2场，零封率跌至25%。

3、谢霆锋发文宣布父亲离世，谢贤曾说“表演必须继续下去”

” 消费者花100元买零食，大约80元先变成货款，门店留下20元毛利。足坛一夜动态：卡塔尔绝平瑞士，巴西1-1摩洛哥，土伦杯冠军诞生尽管经常是三中场中的首选，但法国人在最近三个月里被换下的频率越来越高，有几次甚至没能拿到首发。

4、Codex协助「改写」黑洞模拟，OpenAI讲述如何扩展科学边界

而贯穿其中的底层逻辑，始终是“兴趣”与“以人为本”。

5、迷之操作！中方拆走生产线后，印尼做了决定，逼走中企请印度接盘

它们的共同点在于，商业化并非始于技术，而是始于对客户痛点的精准洞察，并以此构建起难以被轻易复制的商业闭环。

6、“老鼠进你家都要迷路！”家长晒年幼女儿做饭一幕，卫生环境却被群嘲

法兰克福的土耳其小妖乌尊是近期被重点提及的名字。

据俱乐部透露，弗里克在首周训练中会将体能储备作为重点，但所有环节仍将围绕有球训练展开。

巴黎圣日耳曼正是看准了这一点。

7、好消息！7月10起，库尔勒再增一条直飞航线！

钱还没正式花出去，他先见识了这行的另一面。

GLP-1的故事告诉行业一个朴素的道理：科学可以等你，但市场不会。

8、世联赛积分榜：八强定4席！5队抢剩余4名额，日本波兰二选一淘汰

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。

它正在以一个独立赛道的姿态，重构锂电产业的需求版图。

随着美加墨世界杯进入半决赛阶段，西班牙国脚费兰·托雷斯的未来去向成为转会市场的焦点。

2026年上半年的A股半导体半年报，不仅是数字的狂欢，更是一场产业逻辑的集中兑现。