此外，赛事至今墨西哥的状态极其稳定，而英格兰则一路跌跌撞撞，面对加纳、刚果等弱旅都表现低迷。

1、爱游戏平台 此外，另一家土超球队贝西克塔斯也对福法纳兴趣浓厚，米兰对其估价约2000万欧元。

瑞士中场很难撼动莫德里奇的首发位置，8月底的骨折伤病也阻碍了他的发展，仅在联赛中出场10次。爱游戏平台两人同为葡萄牙体育出身，相似的成长轨迹加上同胞身份，理论上能够成为莱奥改变想法的契机。

2、AI增长、低空高飞，中国移动给数字经济提质

这套规则的杀伤力不在于填报数据，而在于核算标准由谁制定。

3、现代汽车二季度营收创新高，营业利润下滑逾两成_网易订阅

2026年美加墨世界杯激战正酣，皇家马德里虽未以庞大参赛人数著称，却凭借顶尖球员的卓越表现，正逼近一项尘封已久的历史纪录。

4、花艺师晒奚梦瑶婚礼现场！昂贵芍药摆满地，百位花艺师筹备好壮观

一切都在此一决。

5、CBA速递！北控男篮敲定主教练，北京男篮欲买断范子铭，青岛男篮续约内线大外，NBL球队接触周鹏

厂家可以不算经济账，但安全账终归是要算的。

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。

它对模型能力、安全和复杂任务的持续投入，不是要「做一个更好的聊天机器人」，而是要做能在很多事情做得比人更好的助手产品。

6、甄嬛传：皇后与安陵容，讨好型人格的两条绝路

乙女赛道的红利期早已结束，靠情绪红利、套路运营、擦边内容野蛮生长的时代彻底落幕。

扩军让中国队从“完全没戏”变成了“五五开的门槛位置”，但门槛从来不是终点，而是起点。

7、@中卫家长

这是一个正循环，启动这个循环的前提是——客户得愿意用。

在潜在人选中有三个最突出的名字，莱奥、帕夫洛维奇和普利西奇，三人的市场价都在5000万欧元左右。

8、真有望冲击冠军？骑士四核同场76回合 净效率+36.7太惊人

中兴通讯承担网络和系统集成能力，千卡集群向万卡规模扩展时，芯片之间的连接会迅速成为瓶颈。

球队专注于利用对手失误发动快速转换，反击进球占比超过四成。

后来校招，他拿到的 offer 不比那些大厂实习生差。

9、AI Coding成功率88%，科研仅3%？「科研是下一个Coding」，还差关键一环

醉翁之意不在酒：请愿网站暗藏的“GOAT”修罗场 如果说“逐出阿根廷”是表象，那么该网站在请愿页面下方附带的“谁是GOAT”投票，则彻底暴露了这场风波的深层动机。

手机厂商采购成本接近上限，消费市场拒绝为存储溢价买单，正在反向压制存储厂商此前的提价速度，手机行业有望迎来新的价格拐点。

10、逆转！哈登30+8+6，坎宁安39+9+7，落选秀立大功，季后赛走势巨变

有第三方数据显示，该产品上市三个多月单品激活量突破310万台。

次轮对阵波黑，球队上半场仍显胶着，下半场突然发力，20分钟内连入4球，替补登场的曼赞比梅开二度，展现出强大的阵容深度和后程发力能力。

1、平地起惊雷！姆巴佩18米绝美弧线：世界杯20球 狂刷4大纪录

趋势提醒我们要清醒，错觉只会制造放弃。

2、退赛许久的全红婵，因2个男人再火出圈，原来她和黄子韬是一路人

可它没有像很多药企那样靠并购续命，而是在最艰难的时刻维持了行业顶级的研发投入，坚持以创新重构产品管线。

3、绍兴还要下半个月的雨，梅雨季装修要注意哪些事儿？

不过那段经历并不顺利，伤病让他仅出场两次便提前结束了租借。“龙蟒组合”，夺冠！此前有球迷冲进内场被拦，马龙、许昕主动上前握手但这类用户的获客成本也很高：“在美国，一些 Vibe Coding 工具获取一名程序员注册用户的成本可能达到数百美元；一个高质量注册用户的成本可能达到上千元人民币。

4、被知名车评人质疑因“某明星”参赛致安保升级，中国超级跑车锦标赛最新回应：全程规范开展赛事统筹、证件制作与人员核发工作

据意大利媒体报道，米兰新的管理层架构已经成型，接下来几个月将组建一个整合型工作团队为阿莫林服务，而葡萄牙主帅将在新米兰的阵容规划、构建以及转会市场运作中扮演关键的经理人角色。

5、长播客被吐槽“过度解构”，别把内容消费品搞成半吊子课件丨封面评论

摩洛哥小组赛与巴西、苏格兰、海地同组，最终以1胜2平积5分的成绩排名第二晋级。

6、疯狂2-1逆转！梅西两送助攻，阿根廷淘汰英格兰，连续两届进决赛

深耕场景是验证需求、打磨产品、获取利润的起点；而拓展平台则是复用能力、放大规模、迭代技术的必然路径，其核心逻辑始终围绕着如何更高效地交付可落地的业务结果。

同时，对方需要10天左右才能给出最终答复，这将大大影响到球队夏窗的工作。

当终场哨声吹响，27岁的姆巴佩首次无缘世界杯决赛，留下了一个略显苦涩的背影。

7、风波升级！央媒怒批后，LV大秀名单流出，王楚钦刘亦菲被牵连

在克勒舍拒绝之后，俱乐部已经将目光转向了31岁的德国经理人德文·厄泽克。

此外，双方面临的市场竞争也在增加，除独立智驾企业外，华为旗下鸿蒙智行通过绑定车企合作，在行业内占据重要市场地位，许多车企也在自行探索研发智驾芯片、软件相关产品。

8、马景涛陪小26岁女友回老家！64岁见38岁岳父，把酒言欢像亲兄弟

各方都在谈，俱乐部所有者、球员经纪人都在其中。

拓竹也很难照搬影像硬件依靠社交传播提升使用频率的路径，运动相机和全景相机天然适合社交传播，运动相机拍出的内容，完成剪辑后就可以被观看和转发。

在他之前，英格兰国脚安东尼·戈登已经率先落笔，目前正享受延长假期，预计稍后归队报到。

阿森纳官方证实，威廉·萨利巴背部受伤，将"需要一段康复期"，不过法国人无需接受手术。