最后是引援层面，错失欧冠的米兰对顶级球员的吸引力必然下降，类似格雷茨卡、弗拉霍维奇等关键谈判也很难敲定。

1、kok网页版 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。

马特塔身体硬朗，禁区对抗和做球能力突出，在英超已经连续两个赛季稳定输出，属于拿来就能用的即战力。kok网页版据意大利天空体育报道，阿莫林已经提出3个引援目标建议，分别是尤尔曼、特林康和贡萨洛·拉莫斯。

2、阿根廷太脏?西班牙足协主席:今天足球赢了 最终正义得到了伸张!

第二，功能预测。

3、1-0开门红！上海男篮暴露3短板，周琦克星没发威，国手三分不给力

战术层面，挪威不追求控球率，更注重进攻效率。

4、输给日本十九分，我想到了夏津冬天晒的被子

也就是说，买100张卡的钱，有30张卡的时间在干等数据。

5、周六晚五场齐发！齐鲁超赛第十一轮观赛指南来了

当大模型推理从“以算力为中心”走向“以效能为核心”，数据和存储才是下一阶段AI基础设施的核心命题。

目前，球队已有普利西奇和恩昆库，但为了应对多线作战，俱乐部需要再引进一名前腰。

这在传统汽车行业是不可想象的，发动机出了问题，车主找的是发动机厂还是整车厂？当然是整车厂。

6、赫瓦林斯卡，一位普通球员和她的两场战争

市场已从“讨论加息”进入了“定价加息”的阶段。

英超方面，曼联一直在寻找一名具备推进能力的左脚中卫，帕夫洛维奇的持球推进能力恰好契合这一需求，目前他们已经对球员进行了询价。

7、CBA外援优先续约权名单出炉：上海焊死双核，四队清零，广厦捏住MVP筹码

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。

整体来看，美国企业在深度侵入式技术、长期人体试验与融资体量上仍旧领先；而中国企业的优势主要体现在庞大的临床需求、医院协作体系、医疗器械审批效率与制造供应链等方面。

8、实力有差距！山东高速男篮客场96-112负与对手

若昂·内维斯攻防两端表现出色，是首轮最大亮点。

目前管理层已经十分接近与其完成续约，新赛季，葡萄牙教练将对他的出场时间进行严格控制，预计在各项赛事中出战30场左右。

这笔钱将再次投入转会市场，以签下符合新主帅战术风格的球员。

9、罗永浩给法拉利首款纯电超跑打6分 称其像10万级车

规模化的职业短剧公司对AI成本敏感，每一分钱都要算清楚；但普通消费者对花几百到小几千创作一部剧的投入会更开放。

尽管巴萨坚称未收到巴黎圣日耳曼的正式报价，费兰的不确定性意味着夏窗后期离队并非不可能。

10、39岁上演帽子戏法！梅西，太炸裂了！美加墨世界杯，诸神黄昏！

他的防守没有戏剧性。

从穆萨的2400万，到本纳塞尔的1000万，再到丘库埃泽的2400万，加上泰拉恰诺那笔悬而未决的几百万，米兰累计可能要损失超过6000万欧元的预期收入，这将在一定程度上影响到球队夏窗的引援质量。

1、五连败，中国男排无缘前八，总决赛或战日本，球迷认清三个事实

小组头名在淘汰赛首轮的对手会相对弱一些，所以两队应该都会争取胜利。

2、世预赛两战韩国仅2分！曾凡博伤病离队遭质疑，被杨毅装病言论说中？

它没有提供什么新办法，却完成了一次重要的叙事转换：你不是落后于人生进度，只是还在航行。

3、车企为什么开始把新车首发押在京东上？

其256通道无线高通量侵入式脑机接口系统，也是国内唯一获批进入国家药监局创新医疗器械“绿色通道”的侵入式脑机产品。京东保×Keep联名开启！上场热练，守护加码眼下最现实的问题是：下周一，巴萨全队将启程前往英格兰的圣乔治公园进行下一阶段季前集训，主帅弗里克需要做出一个短期决定——是否带上特尔施特根。

4、浙江广厦11分惜败！深圳男篮扳回一城，桑普森受伤，孙铭徽缺席

但早期 VC 的常规退出周期约7年，月之暗面2023年成立，算上前期筹备，不少老股东已到该退出的节点。

5、GPT内测失控，入侵Hugging Face！GLM-5.2追查万条记录救场

本届世界杯他已经打入2球，创造了连续六届世界杯都有进球的历史纪录。

6、CBA最新消息！赵柏清或加盟北京首钢，辽宁男篮开启夏训

本场阿根廷肯定主打传控进攻，埃及主打防守反击，这场比赛的关键在于阿根廷能不能尽快打破僵局。

8粒进球、4次助攻，独造12球的数据让他成为本届赛事最耀眼的明星。

目前球队世界排名稳居前三，全队身价超过8亿欧元，核心框架延续了上届夺冠班底。

7、复杂性创伤后应激心理分析：第五十二讲 成为表演型人格

他不要求球队围着自己转，却在持续产出。

分析人士告诉公司观察，主要是因为市场“弱预期压倒强现实”，虽然当下需求旺盛、产能利用率高，但市场在提前交易远期供给宽松及电池消费税压制远期需求的逻辑，叠加隐性库存显性化，导致价格下跌。

8、220亿元！新能源重卡迎来利好

如今，又一次重伤打断了他的脚步。

然而，伤病没给他这个机会。

此次接手国家队，对这位传奇球星而言，既是信任，也是一次全新的严峻考验。

我们敬佩赖斯的职业精神与钢铁意志，但更心疼他在荣耀背后默默承受的代价。