在马尔贝尔萨辞职后，乌拉圭足协于本周一正式宣布，任命前曼联名将迭戈·弗兰为国家队临时主教练。

1、乐鱼手机 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。

当比赛结束，无论你的主队是即将加冕两星的西班牙，还是成功登顶四星的阿根廷，球迷们都会迫不及待地更新自己的装备库。乐鱼手机同年10月，黑山主教练武齐尼奇也将其召入国家队，并在去年10月份的世界杯预选赛中给了他国家队首秀的机会。

2、法国VS西班牙！现代足球PK传统足球，姆巴佩拒绝3连败，国足找到学习目标

7月1日到22日，紫光股份股价累计上涨58%，浪潮信息上涨41%。

3、记者：76人三巨头都已与詹姆斯联系，马克西是主要推动者

据英格兰天空体育新闻报道，米兰已联系了伊劳拉的团队及代表，以试探其接手球队的可能性。

4、拉爵计划有变需要省钱！曼联恐放弃买第三中场，或关注卡塞米罗廉价替代者

财务成绩单：营收涨了，利润缩了 得益于汽车业务的表现，特斯拉在二季度的营收盘子，表现很不错。

5、重磅！朱芳雨正式卸任宏远总经理，新下家曝光，接任人选已确定

"AI的竞争，本质上是算力效率的竞争。

如果阿莫林的战术理念能够与克勒舍的转会运作完美结合，米兰完全有能力在未来几个赛季完成阵容的升级换代，重新具备争夺意甲冠军和欧冠荣誉的实力。

值得一提的是，贝西克塔斯在2026-27赛季将首次身披耐克战袍，结束了与阿迪达斯长达17年的合作。

6、11号签选中“熟男”：勇士不再等待下一个未来

与此同时，天齐锂业还持有SQM约22%的股权，间接掌控着阿塔卡马盐湖这一全球储量最大的盐湖资源。

中东地区沙特、阿联酋的大型光储项目密集释放，单体规模动辄数GWh。

7、5冠魔术师VS4冠库里！谁是最佳控卫！

有第三方数据显示，该产品上市三个多月单品激活量突破310万台。

1990年代出生于武汉的黄冠，本科华中科技大学自动化专业，硕士考入中科院自动化研究所，博士读的是清华大学自动化系。

8、NBA赌城夏联揭幕战：森林狼大胜鹈鹕 普林24+8+12巴夫金30分

得益于此，他们在小组赛前两场均零封对手，包括逼平强大的英格兰。

2023年起，滔搏先后签下HOKA、凯乐石，投资了手握Burton、Nitro代理权的雪具零售商冷山；2024年至今，又拿下Norda、Norrøna、Soar、Ciele等高端户外与专业跑步品牌的中国独家运营权，还在上海愚园路开出了一家跑步生态品牌ektos。

国产 TPU 要进入市场，既要解决芯片本身的性能问题，也要回答开发者如何迁移、模型如何适配、客户如何调用的问题。

9、东道主全部出局！C罗流泪，还是告别世界杯

世界杯小组赛K组末轮将迎来一场焦点大战，两连胜提前出线的哥伦比亚对阵1胜1平的葡萄牙，这场比赛不仅决定小组头名归属，更关系到葡萄牙能否顺利晋级淘汰赛。

“情绪价值”尤其典型。

10、善恶终有报！封号五个月后，曲婉婷再传噩耗，身患癌症无人陪伴

” 那么，超节点到底有多“超”？ 华为在WAIC上首次公开展出了昇腾950超节点真机，它由16台计算柜拼接而成的巨型阵列，1024张算力卡密集嵌入，这是目前业界公开的最大规模超节点。

为什么同样是"实习生"，收入差距能差出十倍？无非三个变量：城市（北上深给得起，二线普遍腰斩）、行业（互联网、金融高于传统制造）、岗种（写代码、做模型高于行政、运营）。

1、嘲讽阿根廷？36岁克罗斯第一时间发文：足球赢了 网友：敢说真话

本周一凌晨，三狮军团在阿兹特克球场以3比2险胜墨西哥队，但球队为此遭遇多重减员困扰。

2、体育史上最伟大经纪人？富保罗理应位列顶端：詹姆斯始终信赖他

不过，对于他的未来，拉波尔塔直言，俱乐部并无放人计划，哪怕拉菲尼亚在首发位置的竞争中遇到了压力。

3、李春霞：被“无名”的吐鲁番交河半马亚军

25/26赛季结束后，AC米兰开始经历大动荡。未央爱知学区划分，9月开学，保利未央璞悦准现房可落户上学！对于米兰这样的豪门球队来说，稳定的管理层是球队取得好成绩的基础，而现在的米兰恰恰缺少这种稳定性。

4、张雪峰11岁女儿再接手三家公司股份，妻子李丽婧任峰学蔚来董事

于是，极佳视界从DriveDreamer继续向前，推出了负责预测和模拟未来的GigaWorld，以及负责把视觉和语言指令转化为动作的GigaBrain。

5、记者：若奇才不给浓眉提供顶薪续约，他可能会与詹姆斯联手去勇士

我很难用语言形容全队和我内心有多失落。

6、13场比赛花掉50亿，加拿大办世界杯到底值不值？

利雅得新月是表现出具体意向的球队之一，他们希望再次补强阵容。

2026年的AI产业，正在经历一场冰火两重天的撕裂。

另一个看点是60分钟体能线，塞内加尔高强度逼抢能否在前一小时建立优势，挪威又能否在后程利用对手体能下降的机会发力。

7、拒绝入住或不让住预定房型！反偷拍博主遭成都多家酒店拉黑，称入住10分钟酒店被警告

包含赖因德斯出售的上赛季，即24/25财年，以5590万欧元排名第四。

朋友转了一圈，发现实际只用了约50平方米的货柜板材，账单上却写着80平方米。

8、笑喷!梅西赛后本想跟英格兰队握手,一看贝林厄姆巴尔科打架转头就走了

眼下，巴萨的全部精力都集中在一名新中锋身上，马德里竞技的阿尔瓦雷斯正是他们心目中的头号目标。

加纳主打4-4-2和4-5-1阵型，低位防守阶段会切换为5-4-1，全队压缩为紧凑的双层防线，五名后卫保持低位站位，双后腰保护中卫身前，中场球员积极回收协防。

加维刚刚赢得了足球世界里最重的奖杯，这一点不容丝毫削弱。

郑玉典认为，路径选择还取决于创始团队的能力结构：“具备大客户销售、行业资源和复杂交付能力的团队，可以探索平台型业务；产品和技术能力更强的团队，也可以先从 C 端产品或开发者工具切入，验证需求并积累能力。