皇家马德里改变了此前的态度，决定在今夏向曼城求购西班牙中场罗德里。

1、博亚平台 攻击手数量更多、水平更高，轮换阵容时就不会折损战斗力。

01 芯片设计业，存储封神 存储业，全是流量明星 如果说2026年半导体有“流量顶流”和“赚钱之王”，那一定是存储芯片。博亚平台当然，即便是球王，也未能做到十全十美，但梅西已经非常全面。

2、行驶仅1900英里的2021款路虎揽胜SV Autobiography Dynamic亚利桑那在售

弗拉霍维奇正值当打之年，支点能力和得分手段兼备。

3、厄德高：“小队长”的梦想之旅

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、尤文引进布拉欣-迪亚斯困难重重，37岁马蒂奇进入尤文考察名单

主教练雅金为球队打造了4-2-3-1的成熟体系，防守端全员回撤压缩空间，进攻端依靠扎卡的长传调度和边路快速突击制造威胁。

5、挪威VS英格兰：英格兰实力碾压，哈兰德孤掌难鸣挪威恐难爆冷

"半决赛，同样的一幕再次上演。

如今，我们必须昂首面对这一切。

袋鼠军团小组赛仅打入2球、失掉2球，是典型的“1-0主义”球队。

6、欧协联资格赛：克卢日大学迎战布兰，主场移师塞普西竞技场

无论今年夏天谁会当选米兰主帅，引进靠谱的正印9号都会是优先事项。

这也是极佳视界成长故事中最重要的一条暗线：它不是从机器人起家，而是从汽车出发。

7、意外！美国队集体发挥失常：门将惊天大失误，比利时奇招致胜

中国企业造芯片，要买欧美巨头的设备和零部件，有关这些设备的技术被卡、零部件被卡、工艺被卡、连维修服务也被卡。

这位三个孩子的母亲在世界杯期间带着家人远赴美国，一路为三狮军团助威，直到球队末战力克法国拿下季军。

8、自然吸气9.76秒纪录，增压后8.698秒夺冠：这台野马GT的“银弹”进化

全行业锂盐企业陷入实质性亏损，大量中小厂商被迫停产。

巴塞罗那近期已送上一份可观报价，这让加泰罗尼亚球队目前在争夺中占据先手。

7月22日美股盘后，谷歌母公司Alphabet发布2026年Q2财报，期内实现营收1198亿美元，同比增长24%；经营利润407.7亿美元，同比增长30%；经营利润率34%，同比提升2个百分点。

9、成都公共直播川渝德比！费利佩冲击伊夫耶库里！向余望与7号偶像同场竞技

在比赛中，葡萄牙经常陷入“无效控球”的泥沼，看似占据绝对的控球率，却缺乏能够撕裂对手防线的纵向传递。

不过，初步的非正式接触给了这家北伦敦球会一些信心。

10、深耕纺纱工艺！系列精品课程解锁纺纱核心技术

马竞方面，随着格里马尔多、李刚仁和尤尔曼德的加盟，俱乐部8000万欧元净投入预算已经用完，工作重心转向球员出售以筹集资金，希门尼斯、阿尔马达、瑟洛特、鲁杰里被列为重点清理对象。

西班牙vs阿根廷，比赛看点如下： 第一：两队情况！西班牙世界排名第二，球队总身价12.2亿欧元，平均年龄26.2岁，全队球员都效力于五大联赛球队；阿根廷世界排名第一，球队总身价8.08亿欧元，平均年龄28.7岁，五大联赛球员共有19人。

1、场均26.2分但重伤赛季报销 仍获马刺续约 队记证实先裁他腾位置

但西甲冠军最终决定不激活合同中2600万英镑的买断条款，球员只能返回曼联。

2、23届世界杯终极排名：意大利两冠仅列中游，马拉多纳封神之作屈居第二

阿莱格里对科内十分感兴趣，已经两次向管理层推荐加拿大人。

3、世界杯后FIFA排名：加拿大守第30位，西班牙取代阿根廷登顶

末轮两队直接交锋，胜者将锁定小组第一，打平则加拿大凭借净胜球优势头名出线。俄亥俄州立首发四分卫Sayin陷争议：海斯曼第四，却被指“只是别犯错”目前日本队场均失球仅0.33个，防守体系十分稳固。

4、工信部同日赴埃安、小鹏开展监督检查

这不是概念炒作的虚数，大规模资金已经入场。

5、国际奥委会解禁俄罗斯，乌克兰：强烈反对！

虽然转会窗至今还没有正式报价，但热刺等英超球队已经传出接触意向，一旦报价符合米兰6000万欧元以上的心理价位，俱乐部不会强行留人。

6、全县被“拉黑”，怎么回事？

不过随着马雷斯卡接任曼城主帅，加上B席离队、萨维尼奥和马尔穆什可能出走，福登下赛季仍存在重新获得主力位置的机会。

成立于2015年的觅光，最初以智能化妆镜切入市场，凭借差异化定位和小米生态链资源，觅光较早完成了品牌认知积累。

与此同时，这笔交易也为巴萨管理层提供了急需的财政纾解。

7、反手抢人！切尔西 1.2 亿砸英超天才，阿森纳截胡蓝军两大目标

足球之神永远眷顾更加勇敢的球队，而梅西正是这支勇敢之师的船长。

如果2027年下半年DRAM进入下行周期，年利润从1000亿大幅缩减，基于年化利润的PE会瞬间跳升。

8、TVB宣布正式更名为“无线集团”，由传统电视台升级为跨媒体娱乐集团，业务更多元化，拥抱创新AI技术，市场拓宽到大湾区

进攻端主打稳守反击，同样依赖两条边路，阿什拉夫和马兹拉维是得分利器。

下一步，球队将把引援重心转到前腰上。

”滔搏（6110.HK）的一纸公告，让持续一个多月的市场传闻最终落地。

三款“全球首款”同时亮相，恰恰说明一件事：这个赛道还没有公认的标准，谁都能重新定义“首款”，恰恰因为谁都还没有真正跑通。