而卫冕冠军阿根廷的晋级之路，则堪称本届世界杯最艰难的剧本之一。

1、kaiyun官方 据西班牙《每日体育报》报道，巴塞罗那正密切关注出自拉玛西亚青训的边锋埃斯塔尼斯·佩德罗拉的转会进展。

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。kaiyun官方过去几年，GP想要新设立一家新基金，国资、政府的资金是绝对的压舱石。

2、亨利：我比赛时看梅西进球会愣住，然后才意识到还在踢球！

但光鲜的数据背后，藏着几道难以回避的坎。

3、“狗娘养的”张和平！

一位开发者告诉「硅基研究室」，真实业务开发环境里实际Token消耗得更快，如果没有明显的价格优势，只是平替，Kimi K3只是提供了一个新选择，而不是必选项。

4、杜锋卸任主帅的背后：广东队调整定位，争冠不再是主要目标

以鸣鸣很忙、万辰集团为代表的量贩零食品牌，通过极致供应链直采将标品零食、饮料价格压至传统渠道的6-7 折，且门店从省会、地市下沉至县乡镇，直接覆盖便利店的社区客群。

5、我的AI监督工具失明20天，却天天报告“自检正常”

经过120分钟的鏖战，阿根廷队凭借阿尔瓦雷斯和劳塔罗在加时赛的进球，以3-1击败十人应战的瑞士队，磕磕绊绊地挺进本届世界杯四强。

全球科技巨头正在用行动证明，原生全模态更有可能是通往世界模型的必经之路。

实际上，米兰同时炒掉4名工作人员将花费超过2000万欧元的薪酬开销。

6、湘乡市太平村村民有了“公共客厅”

01 九次赚钱可能输给九次亏钱 几天后，周远把自己的困惑讲给一位做量化交易的朋友，朋友在纸上给周远写了两种游戏。

在损失巨额收入的情况下，继续卖主力几乎成定局。

7、米体丨邀请皮尔洛和布冯，马尔蒂尼强力推动改革

除了外部引援，阿莫林在近日的发布会上也明确，季前备战会先评估队内现有球员，不会盲目往外看。

暴跌的直接催化剂，是宁德时代枧下窝锂矿的复产。

8、冰释前嫌，热火队帕特·莱利谈勒布朗·詹姆斯：往事已经放下了

该公司将负责选址、变电站建设与运营、客户获取以及AIDC业务的商业化落地。

应用材料、泛林半导体、东京电子、阿斯麦这些国际巨头，拥有成熟产品、庞大客户群、全球服务网络和海量工艺数据。

17岁的亚马尔在帮助西班牙夺冠后，成为转会市场历史上身价最高的球员之一。

9、受台风“红霞”影响，26日广东省内铁路全线停运

他的无球跑动与纵深牵制，为队友创造了大量空间，也预示着法国队未来数年的竞争力延续。

信任危机与公信力重塑：超越胜负的足球反思 抛开粉丝间的饭圈化对立，这场风波之所以能引发全球共鸣，根本原因在于它触及了现代足球最敏感的神经——公信力。

10、红茶被点名了！发现：糖尿病人喝红茶，不必等多久，或有5变化

另一个是中日德兰的弗兰库利诺，丹超17球、欧联杯4球，身体条件出色且双足比较均衡，已经吸引了多支五大联赛球队关注。

而弗利克的存在更坚定了这个念头——当年正是弗利克在19岁时给了他德国国家队的首秀机会，至今仍是看他最顺眼的人之一。

1、正式官宣！曼联迎来进行第4签，800万挖角热刺，边路飞翼加盟

世界排名第一的法国队本届赛事展现出了恐怖的统治力，六战全胜且轰入16球，姆巴佩以8粒进球领跑射手榜，登贝莱与奥利塞的边路爆破更是让对手防不胜防。

2、法媒炮轰谢尔基：首发表现依旧低迷，补水时还顶撞德尚

第30分钟，法比安-鲁伊斯在禁区内敏锐捕捉到机会，补射破门为球队取得领先。

3、微软承认Copilot按键“不适合所有人”，Win11预览版新增选项：可设为无操作

有梅西在，德保罗、恩佐等中场甘愿包揽脏活累活，全队踢得从容且安心。聚焦｜北京卫星产业生态发展大会在京举行很多公司做的世界模型主要服务视频生成、游戏娱乐，看起来像就行。

4、团队从1500人暴增到7000人，Databricks用一台“自动贩卖机”解决工程师抢资源难题

提醒在于，一旦增长来自更低价格段，拓竹过去依靠高体验获得的定价能力，就会被重新计算。

5、每次晕车想吐，可能是你的大脑在启动“中毒应急预案”

“商业化起点永远是客户需求。

6、走走走！国家喊你健身啦

阿拉伊贝戈维奇之所以能够引起这么多豪门的关注，与他在世界杯上的惊艳表现密不可分。

对于米兰来说，其实里奇水平完全可以满足轮换角色，本土青训的身份还有助于联赛和欧冠的报名，仅加盟一年就仓促套现，这将违背俱乐部的本土化策略。

这种操作模式让人自然想到另一名旧将马利克·佳夫。

7、盛夏，穿这三组配色呀！

手握格林布什矿山与SQM盐湖两大顶级资源，天齐锂业锂资源自给率接近100%。

因此阿根廷的进攻主要靠梅西推进，两个边路进攻和防守都是短板。

8、升级版小钢炮！火箭31号秀桑顿持续炸裂，全能表现堪称极品捡漏！

里奇的处境则发生了明显变化。

因此，米兰正在考虑进行球员交换的可能性。

许玮指出，“内存墙”让昂贵的算力芯片普遍处于“吃不饱”的等待状态，正在成为AI推理性能的核心瓶颈。

但话说回来，我们相信自己的打法，这一点不会改变。