拓竹重新评估后发现，这个冷门市场同时具备几个条件：规模不算大，但用户体验很差；产品足够复杂，有技术门槛；传感器、算法、运动控制和供应链能力，已经提供了“把产品再做一遍”的机会。

1、BOB足球 这套机制是目前生物安全体系中，极少数能在“物理世界之前”主动拦截风险的技术防线。

另一个有名气的目标是波切蒂诺，但阿根廷人与美国国家队有合同在身，今年夏天还要参加作为东道主的美加墨世界杯。BOB足球韩国队主教练洪明甫的战术体系则以极致体能拖底，主打高位逼抢与快速转换，全场高强度奔跑是球队鲜明标签。

2、马克龙再出重拳！法国参议院通过法案：禁止15岁以下刷社媒

好苗子就那么多，AI、芯片、基础软件这些方向，一个靠谱的研究生，毕业时被十几家厂争。

3、不止他一人赚翻！莱恩·基芬跳槽LSU引发连锁反应，谁才是最大赢家？

相比家庭机器人，汽车行业是更容易被世界模型率先切入的市场。

4、尼克·博尼托谈入股俄城联：这是不能错过的长期机会，我想为它投下长线

进攻端极度依赖边路速度突击，扬·迪奥曼德、阿马德·迪亚洛等人具备极强的一对一爆破能力，断球后第一时间分到边路利用速度冲击。

5、大暑炎炎，心静自然凉

它不记得上次做了什么，也不理解你真正想要一个什么样的作品。

德容最艰难的一段，是2023-24赛季。

从吸引C罗、本泽马等传奇老将，到如今用天价合同砸向特林康这样26岁的当打国脚，沙特联赛的建队思路正在发生质的飞跃。

6、罗德里亲承“艰难时刻”：背部重伤恐需手术 曼城新赛季遭重大打击

他的转会费约为2500万欧元，尽管费内巴切也曾对他表现出浓厚兴趣。

谈童年，要说“原生家庭”；谈性格，要说“高敏感”“讨好型人格”；谈工作，要警惕“内耗”和“低能量”；谈关系，要看对方能不能提供“情绪价值”，有没有“托举”你，有没有让你“被看见”；决定拒绝一件事，叫“建立边界”；不再替别人操心，叫“课题分离”；不知道自己想干什么，则可能是“主体性不足”。

7、劳塔罗绝杀！阿根廷逆转！梅西助攻梅开二度！

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。

月之暗面不是孤例。

8、森保一：有人觉得可笑 但日本队目标是赢巴西然后世界杯夺冠

产业链交付的是部件的性能，用户需要的是系统的结果。

发行价8.66元，5.8倍PE，只含了第一层。

和枪手不同，蓝军在巨额报价面前从不犹豫。

9、NPC全程飙戏！岳阳一景区玩法上新，沉浸式带你“穿越”

接下来，阿根廷队将在半决赛中迎战刚刚淘汰挪威的英格兰队，一场万众瞩目的“英阿大战”即将上演。

利雅得新月是最积极的一个，莱奥的铁哥们特奥就在那里效力，并且沙特球队也可以给出让红鸟满意的价格。

10、没有佛得角！国足9月热身对手大致确定！

两队历史上共有7次交手，阿根廷取得5胜2平的不败战绩，占据绝对优势。

主帅德拉富恩特打造的这支年轻球队，既有金球奖得主罗德里在中场的绝对掌控，又有亚马尔这位超级球星在边路的单点爆破，攻守兼备。

1、让一追二！河南队2-1攻陷工体，取3连胜的同时明确要换掉的外援

至于新中卫，巴萨眼下并不将其视为优先事项。

2、黑豹新星训练首日重伤痛哭离场 膝伤严重无法承重将接受检查

2024年欧洲杯，西班牙2-1逆转法国；2025年欧国联，双方更是上演了5-4的史诗级进球大战，西班牙再次笑到最后。

3、德转宣！上港中卫位置迎来久违的新外援，曾是欧洲联赛主力

2026美加墨世界杯1/16决赛即将上演一场强强对话，葡萄牙对阵克罗地亚，C罗与莫德里奇两位传奇球星直接交锋。实力最弱的一届男篮？热身赛名单出炉，苦熬9年，胡金秋终成核心作为左脚中卫，伊纳西奥对阿莫林的战术体系极为熟悉，其目前的转会估值在4000万至4500万欧元之间。

4、1988款雪佛兰克尔维特敞篷5速无底价拍卖：黄色涂装，里程显示4.2万英里

以上8名球员累计为米兰带来1.018亿欧元的财政收入，这也打破了俱乐部尘封20多年的卖人纪录，并且在2026年6月30日前可能还会有新的交易产生。

5、阿斯顿维拉官宣租借加纳乔 切尔西新帅此前已告知其不在计划

姆巴佩在接受法国M6电视台采访时表示，这场失利对法国队来说是"巨大的失望"。

6、费城人交易提案被评“毫无意义”：拿新星克劳福德换高薪低能老将

头部格局仍未固化，但护城河的类型正在改变。

当戈登为英格兰首开纪录，三狮军团距离决赛仅一步之遥时，阿根廷队长站了出来。

这个伤情可能需要手术治疗，一旦阿森纳选择手术方案，萨利巴预计将缺阵四到五个月。

7、2027款丰田红杉Trailhunter版内饰官图发布

当然，热闹背后也有隐忧。

Agent商业化的终局，属于懂业务的长期主义者 这场圆桌讨论剥开了Agent商业化最真实的切面：市场需求急剧变化，更明确的商业反馈，更落地的业务结果，已经成为企业采购AI的核心诉求。

8、英国公开赛第1轮出发时间：李昊桐20:09 麦克罗伊22:15

CONTEXT 在报告中提到，专业级和中端市场继续感受到需求向更低价格点转移的压力。

接下来两三年内，我们还会继续向50TB以及更高容量演进，内部已经有相关demo，也具备相应能力。

词一换，生活的质地仿佛也变了。

每次上场，不管是首发还是替补，我都尽力做到最好，帮助球队。