青训方面，基洛夫斯基继续负责米兰未来项目，韦尔吉内执掌青训部门。

1、金年会娱乐 巴洛贡梅开二度状态火热，普利希奇送出助攻，全队跑动距离超过115公里，边路突破创造了13次禁区内机会，进攻火力全开。

一部分原因是他们在最近几场比赛中的表现不佳，另一部分原因则是这些球员被认为卷入了管理层派系争斗。金年会娱乐而比商业焦虑更致命的，是日渐枯竭的创作能力。

2、事情闹大了！名记付政浩称白边已涉及刑事犯罪，需刑警配合调查

葡萄牙的战术更加灵活，马丁内斯可以根据对手在4-3-3、4-2-3-1甚至3-4-2-1之间切换。

3、从黄河到高加索，山西青铜器首展格鲁吉亚

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。

4、曾凡博两进两出国家队，无意义征召引争议：净瞎折腾还耽误人

储能已经不再是动力电池的“附属品”。

5、世界杯马上开始！「造型最适配」足球鞋居然这么好搭？

因此阿根廷的进攻主要靠梅西推进，两个边路进攻和防守都是短板。

在我看来，图赫尔做出了一个赌博式的决定。

此外，阿莫林体系中对于传统边锋的依赖度降低，他已经不需要莱奥这种类型的球员。

6、资格赛选手又如何？蛰伏700天，排名697位的白卓璇从深渊归来

届时，巴黎圣日耳曼已经做好了低价出手的准备。

2025年4月至2026年5月，公司股价整体涨幅超185%。

7、佛得角奇迹！50万人口的火山岛国，对决梅西

两支风格迥异的球队狭路相逢，一场铁血防守与明星天赋的较量即将上演。

消息公布后，IBM股价在早盘一度下跌约23%。

8、3换1交易达成！湖人想要的中锋没了，詹姆斯或被送走？

当显存资源不足时，系统不得不频繁在GPU、CPU内存和存储之间进行数据交换，甚至重复计算历史Token，不仅增加了推理延迟，也进一步降低了GPU利用率。

第一次，耐克通过DTC（指品牌绕过中间商直接与消费者建立联系的商业模式）把利润、消费者和数据慢慢收回自己手里，滔搏持续“失血”；第二次，则直接切掉线上货权，让滔搏失去增长最快的一块业务。

慢慢地，某些东西变了。

9、海港门将陈威谈罚丢点球：遗憾和不足也会让自己不断提高完善

若未来用户以AI智能体为核心入口，弱化各类独立APP使用，传统应用的流量优势将被消解。

ETF层面同样出现微妙变化。

10、东契奇用八个词评价湖人阵容：我认为我们有一支非常好的球队

随着科隆博确定被热那亚买断，AC米兰在25/26赛季已有8名球员确定被出售，他们累计为俱乐部带来了1.018亿欧元收入，这也打破了红黑军团队史卖人纪录。

做到过这件事的主帅，只有弗格森、瓜迪奥拉和穆里尼奥——后者那已经是很久以前的事了。

1、博塔弗戈拒绝帕尔梅拉斯报价，留住达尼洛：要价三千五百万至四千万欧元，再出场一次即锁定

但把账户摊开来看，他很清楚，只靠工资、储蓄和每年几个点的稳定收益，很难真正跨越阶层。

2、南通支云官方：科列夫离队；孟俊杰、陈祥煜、康睿扬租借离队

但巴萨已不再被迫接受低于心理价位的求购。

3、富士康旗下品牌推出电动跨界车Cavira 对标特斯拉Model Y

但多头情绪仅维持了不到48小时。阿根廷加时3比1力克十人瑞士，阿尔瓦雷斯世界波，劳塔罗锁定胜局华为实习工资上热搜，可真正该慌的，不是没拿到那张 offer 的人。

4、山西输球两人昂首离场！不是迪亚洛不是张宁，赛后球队收获两利好

本场比赛的三大看点：一是巴尔韦德能否延续皇马赛季的火热状态，用远射和后插上打破密集防守；二是3个月无球可踢的努涅斯能否迅速找回比赛感觉；三是沙特能否复制2022年击败阿根廷的奇迹，再次上演以弱胜强的好戏。

5、豆瓣6.7，小黄人口碑翻车成了“美国奶龙”？

2026年的具身智能战场，正在上演一场近乎野蛮的全球人才掠夺战。

6、从顶棚争议到那些年他身上的幸运与特权，辛纳是不是真无辜？

特斯拉方面还专门强调，首批机器人进入内部「Optimus Academy」执行任务、收集数据，没有对外销售日期。

而且，即便是敲边鼓的日子，北方华创也始终保持高强度的研发投入。

2025年7月，工信部等七部门联合发布《关于推动脑机接口产业创新发展的实施意见》，提出到2027年要初步建立起先进技术、产业与标准体系，到2030年要形成安全可靠的产业体系，培育2-3家具有全球影响力的领军企业和一批专精特新中小企业。

7、周琦替补抢手！5家球队询价，顶薪中锋剩1年合同，北京队不想放人

其核心的汽车业务仍在盈利，但利润像挤牙膏一样微薄，无法支撑起如此庞大的烧钱计划。

谷歌因违反欧盟规则被处以总计8.9亿欧元的罚款 7月23日，欧盟委员会表示，谷歌因违反欧盟规则被处以总计8.9亿欧元的罚款。

8、OPPO「母亲节」交学费，另一笔账也得算算了

缺乏对这支球队灵魂的深刻共鸣，往往会在生死抉择时暴露出战术上的怯懦。

这套战术在世预赛阶段取得了5胜3平1负的不错战绩，但阵地攻坚能力严重不足，且下半场体能下滑明显。

滔搏可以说是业内最早把店播“规模化、组织化”的运动零售商之一，早早就把门店、导购和私域打通，构建店播体系，几乎把渠道商能够想到的数字化能力都做了一遍…… 集中加码国际小众品牌，是滔搏一步算得很清的棋。

他被盯死了，被控制住了，面对本届赛事最好的防线，姆巴佩无从挣脱。