据知名记者法布里齐奥·罗马诺透露，这位西班牙国脚目前对延长合同一事并无兴趣。

1、bob电子 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。

为了偿还贷款，地平线机器人先以3.99港元/股的价格，向CARIAD定向增发了13.02亿股股份，总对价约为6.62亿美元。bob电子据悉，尤文也是切尔西边锋佩德罗·内托的追求者之一。

2、企业多国同步布局海外场地，什么机构可一站式统筹全球选址工作？

支持银行、保险等金融机构依法依规开发支持智能体落地应用的各类金融产品。

3、双向淘汰之下，民营银行告别助贷红利期

但风险并没有消失，只是转移给了设备的所有者。

4、总决赛轰45+有多难？科比0次，杜兰特0次，唯有他俩各3次

华为在千元机市场的逆势突围，表明面对上游成本上涨，入门级产品功能的精准度、供应链的管控以及品牌与生态溢价能力，已经成为后续各大厂商调整千元机产品线的新抓手。

5、高原上的钢铁守护者

完整产业数据报告、市场趋势分析，移步「产联社」客户端港交所最大IPO来了！ 7月22日，全球光模块龙头企业中际旭创，正式在港交所启动公开招股，全球发售H股基础发行股数为5450万股，最高发行价定在1010港元/股，每手50股，募资总额最高可达约550亿港元。

一份实习值不值，看三件事：能不能接触核心业务、有没有人带你、能不能写进简历当作品。

今年5月，莱奥公开表达离队意愿，其优先选项始终是英超，曼联被视为最现实的下家，阿斯顿维拉和热刺也曾了解过交易条件。

6、突破还是炒作？2000余位学者签署《人工智能与数学莱顿宣言》

"本届世界杯成功的重要原因在于他们选择了哪里（作为东道主）。

对于球迷而言，这或许就是足球最迷人的地方吧！2026年世界杯的战火正酣，关于“谁是世界杯历史最佳三人组”的讨论在绿茵场外同样激烈。

7、床垫上的“薄膜”一直没撕？多亏师傅说出实情，难怪睡觉不舒服

争端核心在于军费——西班牙的国防开支仅占GDP的2%，勉强踩在北约的最低门槛上。

最值得关注的是苹果。

8、Claude Agent突然大更新！狂塞500个技能，网友直呼疯狂

上赛季在纽卡斯尔，他46场比赛贡献17球5助攻。

截至本公告披露日，公司在伊拉克市场共部署14支井队，其中9支仍处于停工待命状态，前述停工事项对公司钻完井工程板块生产经营造成一定不利影响。

德国队7-1大胜库拉索一役，进攻点分散令对手难以防守，但比赛中也暴露了防守注意力不集中的问题。

9、将阿根廷踢出世界杯请愿结束，超2300万人支持险破吉尼斯纪录

他曾先后任职于汉堡、西布朗、桑德兰、凯尔特人、莱斯特城和亚特兰大，发掘了像伯特兰德、斯图里奇、卡库塔、布鲁马、辛克莱尔、博里尼这样的球员，代表作是汉堡时期引进恰尔汗奥卢和亚特兰大时期引进卢克曼，整体履历上来讲不及塔雷。

高端紧缺与低端过剩并存，能量密度160Wh/kg以上的高端电池需求强劲反弹，市场份额从2025年的6%跃升至11%，以三元电池为主。

10、40岁上市公司女副总郭智超离世，是资深摩友，死因是意外交通事故

今年夏天，利物浦的锋线面临重建。

”即使不一定真便宜，小薇和很多年轻人表示，下次还是会去，而且每次都不会少买。

1、没风度？38岁阿根廷功勋拒罗德里致意！贴面怒喷：你对裁判哭诉1整周

他在冬窗加盟之初的表现可圈可点，包括1月份对阵莱切打入制胜球，但之后却鲜有亮眼表现，在连续对阵都灵和那不勒斯首发但毫无建树之后，德国人的出场顺位已下滑到与希门尼斯同一水平。

2、“十五五”时期，我国可再生能源这样发展

当然是他。

3、被动换人酿苦果，主动变阵造绝杀！西班牙2-1击败比利时挺进四强

至于利物浦，他们本赛季是另一个巨大的未知数。二〇二六年海外华裔青年精英文化经济研习活动在京开营在汽车和储能业务之外，特斯拉的服务及其他业务毛利率从9.2% 升至 14.1%，刷新历史新高。

4、G7国家中，有的忙着装空调，有的忙着拆空调

作为乌拉圭足球的标志性人物，弗兰曾效力于曼联、比利亚雷亚尔、马德里竞技和国际等豪门俱乐部，以36粒进球位列国家队历史射手榜第三，更是2010年世界杯乌拉圭闯入四强的绝对核心。

5、绍兴人来说说，5块钱早餐能买啥？我茶叶蛋+生煎包但不够饱…

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。

6、上海球迷为申思发声：打小球员有什么错？掌掴都受不了趁早别踢球

最后是客户账—— 算力中心建成那天，设备不会自动产生收入。

” 中场方面，切尔西同样希望补强。

比利时的蜕变源于主帅鲁迪·加西亚的战术革新。

7、别傻傻搜索小程序！5个隐藏秒开入口，90%的人只用对1个

伊布在管理层扮演的角色将影响到阿莱格里的未来。

在世界杯这样高密度的赛程中，体能将是克罗地亚面临的最大考验。

8、《异能追忆》游民评测8.3分 通往真相的温暖哀歌

此后，巴萨在他的康复问题上始终保持着耐心，着眼长期健康，并不急于求成。

从球衣、球鞋到官方比赛用球，阿迪达斯将这场决赛彻底变成了自家品牌的专属秀场，完成了对单届世界杯决赛的商业全盘垄断。

2014年巴西世界杯，他以六粒进球穿走金靴，随后从摩纳哥转投皇家马德里。

紧随而来的是，月之暗面的上市消息。