墨西哥作为东道主之一身处A组，面对南非、韩国、捷克三战全胜零失球排名第一晋级，展现了强大的防守实力和稳定的进攻效率。

1、博亚平台 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。

阿根廷2-1击败英格兰，并最终在这届世界杯中夺冠，这场胜利超越了竞技本身，成为了整个国家的精神寄托。博亚平台不过，好消息是球队迎来了八九成状态的罗德里，他在中场的调度和拦截依然是球队攻防转换的枢纽。

2、“自己就是自己的靠山”，独家对话女性青年企业家肖丹

赛后，数万阿根廷民众走上全国各地街头，向国家队表达支持与感谢——这支球队一路杀入决赛，距离卫冕仅一步之遥。

3、从流量狂奔到合规精耕：年内消金高管大换血，超七成机构迭代

这轮薪资上涨，集中在算法、大模型、底层架构这类供需严重失衡的岗。

4、三方交易：多尔特内姆哈德赴老鹰 雷霆获3次轮签 独行侠获里萨谢

土耳其劲旅加拉塔萨雷日前追逐布雷默无果后，将报价提升至税后年薪800万欧元，比巴西人当前在尤文的收入高出约200万欧元，这已经足以打动布雷默做出离队决定。

5、宿茂臻透露高准翼伤情，谈张弛退役仪式，直言打国安不用动员

根据最新消息，他们已经与法兰克福的克勒舍达成了全面的口头协议，这位德国足球界最受推崇的体育主管之一，曾挖掘格瓦迪奥尔、奥尔莫、埃基蒂克等一批潜力新星。

同时，特斯拉芯片路线图更新：AI5 明年年中量产优先配套 Optimus；AI6 正在研发，马斯克称将成为全球最好的边缘计算芯片。

一家拥有百余年历史的大公司，一天之内蒸发掉近四分之一市值。

6、厌烦怨恨-量子白骨观修炼体系

最关键的是，本体公司通常更有利于形成数据闭环。

一时间，省级母基金的门槛被踏破。

7、这座城市对马拉松，绝对是真爱

这种“宿命感”并非空穴来风。

现在，它开始把这个判断写进制造端，年初，深圳市政府披露拓竹将在光明区建设自动化生产制造基地，计划年产能超过 300 万台。

8、吴宗宪首度承认离婚12年：净身出户，承认自己不是好丈夫

如今合同只剩一年，巴黎的兴趣让形势急转直下。

渠道商替品牌完成市场教育，也意味着替品牌降低了摆脱渠道的成本。

首先是战术层面的“空间争夺”。

9、这5件2026届毕业油画作品，被中国美术学院美术馆收藏

” 消费者花100元买零食，大约80元先变成货款，门店留下20元毛利。

拼在一起，差不多构成了一套完整的人生解释系统。

10、海信扩大3C智能硬件版图，底气来自哪里？

球员状态方面，英格兰核心凯恩拜仁赛季贡献42球12助攻，贝林厄姆皇马赛季26球15助攻，正值职业生涯巅峰；克罗地亚方面，40岁的莫德里奇AC米兰赛季出场45次，传球成功率91%，几乎场场全勤，体能并没有看出明显下滑的迹象。

考虑到双方防守都很出色，常规时间可能难分高下，平局的可能性不小。

1、1-0！世界第4险胜，击败新西兰，哈里-凯恩进球，拉什福德哑火

研究人员认为，这一增长动因之一，源于畅享90 Pro Max的强劲市场需求，推动其出货量同比增长24%。

2、赛前

喜欢西班牙，喜欢阿根廷，因为喜欢看好看的足球。

3、父子不内斗、女婿不逼宫，浙商二代们为啥不爱接班了？

之前，6场比赛8个进球，第7场，彻底哑了火。台风天上海超市物资遭哄抢？不实！网民朱某被拘孙卓认为，胜负手还是取决于，“模型能力再强，得有人用。

4、拓展应用场景 “人工智能＋”赋能产业数智转型

联赛倒数第二轮，米兰完成了他们必须完成的任务，阿莱格里的球队凭借恩坤库和阿泰卡梅的进球客场2比1艰难战胜德罗西执教的热那亚，时隔1个月再度赢球，朝着前四的位置迈出了关键一步。

5、盘点WCBA重磅交易！翟若云张茹加盟家乡球队，董可尔或加盟河南，李月汝未定！

这位在音乐行业拥有最持久职业生涯之一的歌手，用自己的经历印证了这一点："我三十年的歌唱生涯，不是光靠天赋走过来的。

6、宏远速递！米切尔有望顶替杜锋，朱芳雨选秀弃权，陈家政赴美特训

DRAM价格一年可翻四五倍，下一年可跌回原点。

一个能写推理优化的实习生，可能直接顶半个初级工程师的活。

阿根廷的隐患同样不容忽视。

7、北京国安“天赋日”活动顺利举办

“他们擅长串联配合，更能精准预判传球方向完成拦截。

这对双方都是不可承受的。

8、《SteamCue》免费发布 多人比赛看图猜游戏

最理想的情况是租借到一支中下游意甲球队锻炼，这样可以确保更多出场时间。

虽然从情感上难以接受，但回过头来讲这样也好，就凭球队最后几轮展现出来的东西，即便参加欧冠也只能是在更大的舞台上拉坨大的，现在的他们真得不配。

第70分钟，瑞士前锋恩博洛在禁区内与阿根廷球员帕雷德斯发生身体接触后痛苦倒地。

他们的下一个对手英格兰，同样经历了一场恶战。