同样效力莱比锡、同样进入各队雷达的还有安东尼奥·努萨。

1、亚搏手机 自1966年本土夺冠后，他们无数次在希望与失望中轮回，那一声跨越甲子年的叹息，成为了无数英格兰球迷心中最深的痛，今年把足球带回家是三狮军团的最高任务。

目前产品发布只有两个季度左右，客户还处于装机和上线阶段，运行数据还需要一些时间积累。亚搏手机有了这层身份，2018年俄罗斯世界杯、2022年卡塔尔世界杯，王健林自然都到了现场。

2、热议杨瀚森NBA夏联18分10板5助！记者：与国家队表现形成鲜明对比

利物浦此前也报价8500万英镑被拒。

3、文化观澜丨让新疆故事在舞台绽放繁花

第二种，每玩一次，有90%概率亏1块钱，但有10%概率赚20块钱。

4、中国男篮动态更新！赵继伟找回自信，郭士强保住帅位，台北主帅盛赞一小将，下一窗口期时间和对手敲定出炉

当然，数据下滑既有球队战术动荡、进攻体系不连贯的客观因素，也有球员自身状态起伏、场上定位反复调整的原因，让外界对他的去留产生了分歧，不过莱奥自身对米兰已经是心灰意冷。

5、被CBA多队疯抢！山东被曝欲卖掉谢智杰，广东队成最大潜在下家？

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。

同时，大量终端消费数据掌握在经销商手中，品牌无法直接运营用户。

阿根廷和埃及成年队在历史上只有过2次交手，阿根廷取得全胜。

6、暗示被整下课？杨鸣曝辽篮内幕：队员会故意输球 我主动背锅

没作品就海投，投的往往也是打杂岗。

“我们经常说model the world，但我觉得真正的世界模型更应该是mold the world，它不仅要理解世界，还要能构造、重塑世界。

7、辽篮热身赛险胜吉林，于善元迎来首秀，李虎翼涨球明显，赵森令人眼前一亮，付豪依旧最稳

在世界杯射手榜上，他以8粒进球与姆巴佩（含有1点）并列第一，但含金量更胜一筹——这8粒进球全部来自运动战，没有一粒点球。

巴菲特在2008年金融危机中投资高盛就是类似的凸性投资。

8、亚马尔、哈兰德世界杯后身价上涨，德转中国区数据管理员：重大赛事高光表现能带来大涨，另一个核心指标是年龄；C罗曾吐槽过自己的身价

进攻时，球队重点利用边路的速度优势突破，洛萨诺和阿尔瓦拉多的边路突破是球队的重要进攻手段。

梦幻的乐园灯景与亮马河夜景交相呼应，夜间体验的丰富也让乐园城市休闲空间的定位进一步被明确。

过去这一年，资本用真金白银为AI潮玩赛道投票，投融资事件超过20起。

9、55岁三星长公主送儿子上名校！甩掉渣男老公，离婚12年活成女王

既然等不来马丁内斯，尤文准备另起炉灶。

他认为这并非“分化”，而是行业早期发展的常态。

10、做梦拉存款、推信用卡被拉黑、累到胃疼，金融人快被年中考核逼疯

需求端，我们依然保持谨慎乐观，无论是储能还是动力领域，地缘政治因素叠加较高的能源价格，使得能源独立与能源安全的重要性显著提升，对新能源产业形成正面刺激，进而对锂需求构成中长期支撑。

挪威前两轮火力全开，4-1大胜伊拉克、3-2险胜塞内加尔，核心球员状态拉满；末轮为保存体能，轮换全部主力不敌法国，无伤大雅。

1、下周美联储有30%概率加息？

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。

2、24幅 当代画家油画作品欣赏

法国队依靠姆巴佩、登贝莱等人的顶级个人能力，足以对中下游球队形成降维打击；但当面对西班牙这种整体性极强、球权控制力拉满的顶级技术流强队时，单兵作战的局限性便暴露无遗。

3、从奈飞到亚马逊！万达动漫，如何打通全球顶级渠道？

但在行业从“粗放增长”转向“高质量发展”的拐点上，问题开始集中暴露：实控人资金拆借混乱，说明公司治理还有待加强；毛利率持续下滑，说明产品缺乏真正的定价权；安全事故频发，说明生产水平有待提高。何晴去世一个月，儿子许何仅用一个举动，帮许亚军实现口碑逆转这么短的时间、这么精确的金额，更像是为了制造资金流水、满足某种形式上的要求，而不是真正的经营需要。

4、陈海斌：AI重塑诊断生态 让精准医疗惠及更多患者

相当于一个合格的人刚提离职，楼下就有5家公司拿着合同本在堵门。

5、抓拍升级！7月23日起，接拨手持电话、不系安全带……扣分罚款没商量！

两队成年队无任何A级赛事交手记录，本场是首次对决。

6、世界男排联赛八强出炉！中国男排第8号种子晋级，1/4决赛战日本

两次动作看似不同，本质却完全一致：耐克正在一步步收回过去授权给超级经销商的价值。

第三是战术价值，他的技术和创造力能丰富米兰的中场打法，给阿莫林提供更多的战术选择。

森林学家玛丽女士知识渊博，是奇遇森林的守护者，她会在入口处为游客送上祝福；灰小子卡卡四处流浪，生活清贫，但是乐观开朗；驯鸟人神秘、迷人，但似乎「业务不精」；一对渔民兄弟为了未来在水手厨房外展开比拼；水果市集，小女工艾达试图躲着老板玩点不一样的。

7、詹皇下家！名记曝内幕：欧文或浓眉？还在等大鱼？

谈及同为巴萨天才的亚马尔，库巴西透露两人虽私交甚笃，性格却截然不同。

不过莱奥的短板也很突出，在阿莫林体系非常看重的对方中场与防线之间的肋部地带，莱奥的传切配合、狭小空间处理球能力并不算顶尖，很难承担内锋的组织串联职责。

8、开始抢人！广东迎来新帅最佳人选，唯一有资格接任杜锋的主教练！

在中小联赛挖潜、从豪门租借边缘球员、依靠球探体系淘一些尚未成熟的年轻球员将成为主流方式。

其中，Moncler主品牌实现营收10.9亿欧元，直营渠道仍是最主要增长动力，Stone Island实现营收2亿欧元，同比增长7%。

值得注意的是，本次地平线机器人虽采用发新债置换存量贷款的债务调整方式，但公司账面现金储备丰厚，不存在流动性问题。

毕竟，大疆、影石已经证明了“海外高端化+回国降维"这条全球化模式跑得通，万兴科技要证明的是“国内练兵+海外挣钱+全球能力输出”这条路径同样成立。