"鲨鱼心态"浮出水面，这也帮他把状态和自信一点一点找回来。

1、ob体育 这是全球工程能力最强的团队之一，在同构环境下交出的成绩。

自夏窗开启以来，利雅得新月就将拉菲尼亚列为头号引援目标，不仅愿意满足巴萨的要价，还开出了一份远超其现有合同的薪资方案。ob体育特斯拉的处境更为尴尬。

2、跨越千里赴羊城，戈壁甜瓜入湾区 中卫硒砂瓜广州推介会顺利举办

此役，托雷斯在第60分钟替换奥亚萨瓦尔登场，接过了同样的任务。

3、梅西为啥35岁后，开始爆世界杯进球？

真正的差距，从来不是那张工资条，而是你比别人晚知道了多少年。

4、和王楚钦领证真相大白后，32岁陈梦私生活曝光，丝毫不感到意外

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。

5、4年2.12亿！正式锁定！NBA休赛期最烂合同

米兰方面希望拿到1500万欧元左右的现金，而维拉的报价略低于这一数字，但差距已经不大。

企业听完，第二天就去别的地方了。

整个赛季，他没有罚过一粒点球。

6、你觉得一辈子一直租房累，还是背上30年房贷更累？_网易订阅

这五年里，面对多家顶级俱乐部抛出的橄榄枝，甚至是不计其数的天价合同，齐达内均不为所动，果断拒绝。

正因为系统如此复杂，脑机接口很难像消费电子一样一夜爆发。

7、北摩高科(002985.SZ)：碳/碳复合材料、粉末冶金摩擦材料理论上可以应用于高端仿生机器人的部分环节

这是我唯一能说的词，当然，还有悲伤。

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。

8、天气

2026世界杯H组即将迎来最后一轮较量，乌拉圭与西班牙在瓜达拉哈拉展开直接对话。

普通投资者一般拿不到巴菲特同样的谈判条件，却可以用类似视角选择资产和投资工具。

这种“宿命感”并非空穴来风。

9、梁实第30次高考现场：状态超放松，睡电竞房7点半才醒，冲刺550分

大厂暑期实习通常在前一年底到当年春季开放，很多人就是这阶段拿到了大三暑假的 offer；错过这波，就得等秋季。

一颗芯片从硅片到成品，要经过刻蚀、薄膜沉积、清洗、热处理、离子注入、涂胶显影、键合等十几道工序。

10、大S:婚后不赚钱，养2个孩子、打官司花费很多，生前卡里只剩42万

同时，公司也在向上游高端材料环节延伸布局。

与此同时，耐克也正在开发由本地团队主导的全新零售概念，并将在未来六个月推向市场。

1、常州赢麻了，已非吴下阿蒙！

" 萨利巴在法国队的八场世界杯比赛中首发了六场，仅缺席了小组赛末轮对挪威和三四名决赛对英格兰。

2、Panda Express创始人：“我以为会一夜成功，结果大错特错”，如今却年收超600亿

当然，江苏单店的试水，可以看作是7-Eleven 用烘焙类新鲜零食来投石问路，可这仅仅是一个开始。

3、后坐力太大！贾浅浅再迎3大噩耗，这一次谁也救不了自掘坟墓的她

这位巴萨球星恰好完美契合这一要求。常州赢麻了，已非吴下阿蒙！随着贡卡洛·拉莫斯的到位，希门尼斯更难以再找到位置。

4、安徽宿州一女子醉驾被查态度嚣张拒不配合，多次推搡、踢踹辱骂交警：“我打死你，你受不了气就不要干这一行”，被吊销驾驶证、刑事立案

一家公司能否在等待期间产生现金流，资产负债表能否让公司活到行业复苏，有没有到期日，新增价值是否归属股东，这些问题都会决定凸性质量。

5、广厦推倒重建？曝上海追求胡金秋欲组豪阵 篮协新政让国企垄断

能够穿越建设期、爬坡期与技术切换期，而不是按季度考核单一产品线的短期回报。

6、2026南油美食推荐｜从工位冲到雪乡情，虎皮锅包肉上桌那一刻同事筷子比我还快

这场请愿在南美球队阿根廷失利后迅速发酵，目前签名人数已突破6.15万。

它不会说话，却用体温和眼神建立了连接。

与此同时，马竞方面持续传递同一信号：尽管阿根廷人已明确表达了离队意愿，俱乐部今夏不会接受任何价格将其出售。

7、265米！全球集装箱一哥新总部，看着“会晃悠”？

面对即将再次交锋的法国队长姆巴佩，库巴西保持着清醒的认知：“他不让我们感到恐惧，但所有人都清楚他的能力。

一边是39岁依然扛着卫冕使命前行的梅西，他正以世界杯历史射手王与助攻王的双重身份，奔赴职业生涯第一次、也是唯一一次对阵英格兰的宿命对决；另一边，则是渴望率队时隔60年重返世界之巅的英格兰“青春风暴”，贝林厄姆领衔的三狮军团誓要撕碎宿命。

8、IMAX大战AI！诺兰刚封神，马斯克官宣Grok重拍《奥德赛》

但在社交媒体时代，巨星的每一次发声都会被放在放大镜下审视。

而米兰这边，卡迪纳莱和伊布给出的承诺至今没有兑现，球队更衣室急需一个压舱石。

上述三家中小鹏与中创新航的关联最多，其2022-2023年推出的车型中，绝大部分（小鹏G9、小鹏G6、小鹏P7i、小鹏P5、小鹏G3i 、小鹏X9）都搭载了中创新航电池，且合作程度在2023年进一步加深。

阵容方面，主帅蒂亚乌同样排出4-3-3阵型，锋线上杰克逊居中串联，马内和萨尔两翼齐飞，三人的速度优势非常明显。