本届比赛期间，他曾超越克洛泽的纪录，独占榜首，直到姆巴佩在三四名决赛中打入进球，以22球对21球在最后时刻完成反超。

1、乐鱼全站 上周日，西班牙凭借费兰·托雷斯在加时赛的进球捧得大力神杯。

综合来看，美国各方面全面占优，主场赢球的希望很大。乐鱼全站波黑与卡塔尔各积1分，基本失去直接晋级希望。

2、汇源内斗没有赢家

比利时（第八，升1位）反超邻居荷兰（第九，降1位）。

3、泸州开放大学2026年秋期招生简章

业界也将目光放到了一种区别于通用大模型的路径：垂直整合。

4、三人进球破纪录却颗粒无收 谁来拿2026金球奖？

目前，巴萨仍然持有多名外放球员的转会分成权益。

5、阵容齐整，武汉三镇明晚冲击赛季首次连胜！

年轻中卫彭啸在对抗与预判上严重不足，上半场的两个丢球均与其失位、漏人直接相关，下半场更是被外援单点生吃，最终在第59分钟被老将郑铮换下止损。

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。

但不可否认，作为纯资源型企业，这些布局只能帮助公司在行业寒冬中抗压能力更强、亏损更少，却无法摆脱跟随锂价周期波动的本质属性。

6、雷霆再遭挖角！投篮大师恩格尔兰转投火箭

宏和科技的实控人为王文洋及其女儿Grace Tsu Han Wong，截至今年7月，二人通过远益国际、INTEGRITY LINK、FUSECREST、SHARP TONE、UNICORN ACE，控制公司80.37%的股份。

德泽尔比的救火之功得到了回报：俱乐部给他买来了一整条新防线和一整条新中场。

7、拉塞尔：引擎软体故障已排除，直言2026赛季“心理战最艰苦”

电芯鼓包、漏液、绝缘报警，这些在高速行驶中随时可能演变成更严重的事故。

德国俱乐部现在的态度很明确：低于1亿欧元的报价免谈。

8、老兵新作为 康县退役军人崔玉武养殖黑瑶土鸡的故事

不过目前利雅得新月尚未提交正式报价，沙特方面的心理价位在1200万到1300万欧元之间，而米兰的初始要价高达2000万欧元，双方存在不小的差距。

这位18岁的摩洛哥中场没有让任何人无动于衷，年纪轻轻就接过球队的中场指挥权，成为球队杀入八强的关键人物之一。

阿根廷对阵首次晋级淘汰赛的黑马佛得角，原本以为是一场轻松的比赛，没想到却踢得异常艰难。

9、西蒙尼：阿根廷欠迪马利亚一个历史地位，没有他梅西难圆世界杯梦！

俱乐部首席执行官米格尔·安赫尔·希尔·马林在世界杯决赛前接受采访时重申了立场，把阿尔瓦雷斯离队的大门关得严严实实。

然而赛后，主帅图赫尔却用了"散慢"来形容球队的发挥，直言英格兰"很走运"。

10、今夏第3签！蒂莱曼斯加盟曼联&公布球衣号码

英格兰则与克罗地亚、加纳、巴拿马同组，最终以2胜1平积7分的成绩排名第一晋级。

另一位米兰可负担的候选是西甲高效射手瑟尔洛特，不过这名挪威中锋已非常接近尤文图斯，米兰若想介入，必须尽快采取行动。

1、29岁老将生涯首轰117分仍输球，沃里克郡单日杯遭诺丁汉三记门柱绝杀

而开源模型的扩散效应会直接利好两方面： 一方面，最直接的就是增强自己在企业、开发者和普通用户间的存在感，加速基础模型的商品化。

2、1990年威尔士手工Triton Cafe Racer亮相，搭载649cc双缸引擎

另一个是中日德兰的弗兰库利诺，丹超17球、欧联杯4球，身体条件出色且双足比较均衡，已经吸引了多支五大联赛球队关注。

3、CCTV16直播上海德比！申花洋枪土炮燃尽了 球迷怒批司机！穆斯卡特：加时赛体能没问题

康复过程虽然漫长，最终让他回到了赛场。罗马诺重申：巴科拉仍是利物浦“最最最核心目标”，不管你们信不信从米兰的角度看，放走一名薪资负担较重的球员也并非不可接受。

4、外交部副部长马朝旭访问美国

“这行毛利就20个点。

5、WNBA全明星改制：传奇+现役+高中生组队，奖金细节曝光

当第一批客户续约以后，收入真实性得到确认，他会把仓位提高到0.5R。

6、出局！人算不如天算，亚洲兄弟乌兹别克送韩国队回家：伊朗待定

赛后接受采访时，鲁尼对图赫尔过早摆出防守姿态的决定提出了尖锐批评。

开业时，他一口气雇了七八名员工。

拉齐奥对吉拉的要价超过3000万欧元，且大概率不会接受球员加现金的交易形式。

7、集锦90秒、延迟12小时：FIFA极其严苛的版权保护正“反噬”世界杯

而另外一个让外界关注的信号是：特斯拉Q2 的自由现金流为 -10.92 亿美元，出现了两年多来首次转负的情况。

如果他们想在今夏拿下巴尔科拉，将不得不再度一掷千金——距离新赛季开打已不足一个月。

8、24年来首人！47岁马宁首次担任世界杯主裁 周日8点吹响开场哨

但高位逼抢身后留空当、缺乏正统中锋、领先之后容易放松，是德国队的明显短板。

而另外一个让外界关注的信号是：特斯拉Q2 的自由现金流为 -10.92 亿美元，出现了两年多来首次转负的情况。

一个客户贡献三到四成的营收，这在动力电池行业极为罕见。

他和足球的渊源比马云深得多。