近些年交锋中，巴西曾多次大比分击败日本，不过去年的麒麟杯上，日本主场3-2逆转巴西，终结多年不胜魔咒，但该场赛事巴西阵容并不完整，参考价值相对有限。

1、星空官方 作为一名中场球员，能在世界杯上有这样的进球效率相当不容易。

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。星空官方据都灵方面的消息人士透露，由于马丁内斯交易迟迟无法推进，尤文预计将很快向热刺发出新一轮正式询价。

2、乒超联赛确认停办一年 以全力备战东京奥运会

传球成功率86.44%说得过去，但他全赛季682次传球尝试，在队内仅高于因伤长期缺阵的埃斯特旺和拉维亚。

3、近10赛季英超进球榜：曼城878球居首，利物浦784球次席

"从迭戈的壮举中汲取灵感很难，他在球场上做的那些事，几乎不可能被复制。

4、最新警告！“2/3加沙人年内或将面临严重饥饿”

挪威固定采用4-3-3高位进攻阵型，主打中场传导拉扯、边路传中、支点强攻。

5、CBA｜北京首钢男篮不续约麦基基本已定

鲜食本来就是便利店的核心品类，7-Eleven 此次在江苏落地 7 鲜零食，依托的是华东区域成熟的鲜食供应链网络，但如果要复刻华北、西北等弱势区域，就必须配套对应的生产基地和冷链体系。

当年，尤文图斯曾向决赛输送了9名球员；而如今，马竞以10人的庞大阵容，将这一纪录提升了整整一个身位。

公司随后又发布Maker H01机器人本体，以及真机、手持和第一视角数据采集设备，试图把模型、数据和硬件连接成一个闭环。

6、近2亿人次观看，李晨、白小白同台竞技燃爆快手台球明星赛

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。

高度依赖青训体系的巴萨转会投入更少，两年的总支出只有8800万欧元，而止步欧冠半决赛的马德里竞技投入还是很疯狂的，两年间支付了4.18亿欧元转会费，不过他们也通过出售球员收回了2.6亿欧元。

7、林葳拒北卡很搞笑！台名嘴：就像去某学校要得到上清北的保证

北京时间7月12日凌晨，历史上首次闯入世界杯八强的挪威将在美国硬石体育场迎战英格兰。

风格上来讲，科特迪瓦中场绞杀克制挪威传控体系，而挪威高空支点打法又正好针对科特迪瓦防空短板，双向互有突破口。

8、年届三十的李芷萱，相信自己的生涯巅峰还在未来

” 对于半决赛前亚马尔的心态，库巴西毫不担心：“他非常专注，清楚自己该做什么。

世界杯就是球员的最高梦想，说不是的球员好比不愿意当将军的士兵，那只是假把戏，虚伪得很。

这是平台化之后必然会遇到的问题，热门 IP 能带来下载量、打印量和传播，也会带来版权压力。

9、老大还未出手，几个小弟轮番暴揍湖人，雷管选人可真精！

他的防守没有戏剧性。

事实上，这并非阿根廷队首次因类似行为受罚。

10、状元进全明星，榜眼拿冠军，唯独身为探花的他 4年了还是原地踏步

效力于英超热刺的克里斯蒂安·罗梅罗以及曼联中卫利桑德罗·马丁内斯也参与了展示。

新国标管的是新车，管不了存量车。

1、奇才建队策略的失败 开拓者的崛起 为何两者之间能互为因果

在苏格兰效力的两个赛季里，他共为球队出场43次，打入7球，登陆苏超的首个赛季便获评马瑟韦尔赛季最佳球员。

2、俞敏洪透露董宇辉离职幕后：深陷舆论风暴

这种打法虽然简单，但非常实用，尤其是在淘汰赛这种容错率极低的比赛中。

3、中国女篮阵容调整：旅美锋线邓雨婷归队合练 李星诺张梓涵离队_网易订阅

这是哥伦比亚时隔8年重返世界杯淘汰赛，而加纳则是从死亡之组惊险突围，一场技术与力量的碰撞即将上演。美不宣而战，连民用设施也不放过？伊朗还没加码，白宫就多一小弟尽管伤病缠身，德容硬是杀回了巴萨首发，在弗利克麾下重新确立了自己作为球队最具影响力中场之一的地位，再次证明了他完全健康时能达到的高度。

4、视频   谢贤1亿港元遗产分配曝光，子辈孙辈相差9倍，谢贤真的偏心吗？

这种“账面盈利、现金流紧张”的矛盾状态，也解释了市场的疑惑：公司资产负债率仅30%左右，财务结构看似十分稳健，为何在2026年初仍通过H股配售与可转债募资58亿港元？核心原因并非债务压力，而是公司同步推进格林布什三期扩建、江苏张家港氢氧化锂工厂、四川雅江措拉锂矿三大巨型项目，持续的资本开支不断消耗公司存量现金。

5、34岁皇马门神捂脸痛哭！连续神扑后拉伤肌肉 被迫下场或告别世界杯

今年2月，他名下的风投平台Play Time出手，参投了“AI教母”李飞飞创办的空间智能公司World Labs，投资方名单里，还站着英伟达、AMD这样的硅谷巨头。

6、再走长征路｜长征路上展现“三色”画卷：湖南嘉禾的文旅新试验

一方面，Anthropic也好，DeepSeek、月之暗面、MiniMax也罢，目前都没有发展出互联网大厂那样规模庞大的组织，因此会更容易形成内部对齐。

松下宣布投入3500亿日元扩产电池产能，目标将数据中心储能营收提升至当前三倍。

这种打法虽然简单，但非常实用，尤其是在淘汰赛这种容错率极低的比赛中。

7、CBA詹皇转投韩联赛！男篮痛失最佳归化人选 世预赛郭士强怎么办？

伊朗针锋相对，扬言报复整个地区与美国关联的基础设施。

更重要的是，他打破了世界杯历史总进球纪录，并在39岁的“高龄”依然保持着场均近参与2球的惊人效率。

8、不是周琦！不是杨瀚森！男篮“最强内线”易主，29岁成易建联接班人

而客户可能只租用几周甚至几天。

国际足联曾预计，2023-2026这个四年周期的总收入将达到130亿美元，较卡塔尔世界杯周期增长72%，是史上商业价值最高的一届世界杯。

哥伦比亚全队身价3亿欧元，世界排名第13位，主帅洛伦索打造了一支攻守均衡的球队。

相比于自带光环的互联网大厂和高估值的明星大模型创业公司，垂直AI厂商以贴近用户场景、自我造血能力的姿态，默默走到了AI时代的舞台中央，成为既务实又有生命力的样本。