下半场第56分钟，彭啸后场断球失误被就地反抢，阿奇姆彭突进横传，斯坦丘推射上角彻底杀死悬念。

1、开云官方app 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。

他连发7个感叹号，下令把宇树的客户、投标、员工全部抢过来，并放话要用2亿年薪招首席科学家，比优必选的报价还高出7600万元。开云官方app以存储行业龙头公司德明利（001309.SZ）为例，公司业绩预告显示，上半年公司预计实现营收160亿元至180亿元，同比增长289%至338%；归母净利润57亿元至65亿元，同比扭亏为盈。

2、越南羽坛一姐绽放中国公开赛 阮翠玲力克日本新星昂首晋级

2026世界杯决赛，西班牙vs阿根廷，欧洲和南美的裁判因涉及决赛球队所属大洲，最好的选择是均被排除在外，而在亚洲、非洲、中北美等区域的裁判中进行筛选。

3、大清洗实锤！泰山队多老将核心被“变相甩卖”，降本旗号下尽显薄情寡义

这种「好」包含两方面，它需要有帮助IP破圈的拉新能力，也要有让粉丝产生更深情感共鸣的连接能力。

4、加时绝杀！世界杯冠军诞生：西班牙第2冠 16年轮回 举国沸腾

对于一家企业，所有的疑问最终都指向商业经营。

5、以数智赋能 与智造同行｜威图AHTE 2026圆满收官

按照目前的行情，罗杰斯的身价预计将超过1.2亿英镑。

5月17日和20日，公司分两次归还了这900万元。

放到十万卡量级、异构芯片、训练推理科研混跑的场景，风险变量只会更多。

6、国家队下场，超算互联网喊你免费吃龙虾OpenClaw了！

当消费者想到看球、准备零食或与朋友相聚时，“看赛有乐事”也能够被自然而然地想起。

两队历史上从未在世界杯交锋，这是一场世界杯遭遇战。

7、中国女篮亚洲杯分组出炉！与日本女篮同组，首战菲律宾女篮，后卫线告急！

阿根廷甚至还没能在西班牙禁区内触球，但麦卡利斯特和恩佐·费尔南德斯合计已进行了五次一对一对抗，展现出球队若想挡住西班牙所必备的缠斗属性。

家庭用户更关心机器放在哪里、吵不吵、安全不安全、孩子能不能用、耗材贵不贵，以及一个月到底能打印几次。

8、中国男篮对决中国台北，郭士强派两大奇兵，弃用两个嫡系，要稳赢

地平线、Momenta赛跑 同处智驾赛道，地平线机器人与刚刚上市的Momenta互为竞争对手。

Theta是每天醒来以后，账户收走多少费用。

但罗马真的有必要签下这位22岁的边锋吗？ 翻看上赛季数据，加纳乔的进球和助攻总和，只有帕尔默、佩德罗·内托、恩佐·费尔南德斯和若昂·佩德罗排在他前面——而这四人的出场时间都远多于他。

9、王炸！10件不鸡肋收纳架，让厨房多出5㎡，实用才是王道

硬件能力会被追赶。

通常情况下，商业航天的发展会经历两个阶段。

10、报道：若通胀前景未改善，欧央行官员准备9月加息

7月21日至7月22日，科创50指数累计反弹8.23%，同花顺玻璃基板、铜箔、先进封装、CPO、存储芯片、PCB等科技类概念指数均出现回调。

还有一套更极端的定价在A股之外。

1、请问江苏的省会是哪里？还在踢，等结果

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。

2、不听劝！买了人人都不要的顶楼，入住后才发现：说不出的难受！

于是，好卖的东西不赚钱，赚钱的东西卖不动。

3、我国消费潜力将持续释放

资料显示，截至目前滔搏拥有约9290万累计用户，其深度下沉的线下零售网络，已成为其抵御此次冲击、维持行业地位的最大筹码。400-800万预算，松江高得房率新房怎么选？这份榜单告诉你答案法国队在此前的1/4决赛中2-0击败摩洛哥，连续三届世界杯闯入四强。

4、中年男人的四大喜事。

中间隔着大量的工程整合工作——而这恰恰是链条上大多数参与者并不涉足的环节。

5、演员金泽去世年仅33岁，业内人士曝死因，好友证实发文悼念

目前尚未就续约展开任何谈判。

6、凌晨，全线拉升！美联储，重磅发布！美股科技巨头飙涨

这球让人没法不想起伊涅斯塔。

比赛大概率会呈现葡萄牙控球围攻、乌兹别克斯坦全员防守反击的格局，上半场可能僵持，下半场随着乌兹别克体能下降，葡萄牙有望扩大比分优势。

相比千人千面的聊天体验，行业更容易判断出一个Coding Agent能不能读懂代码仓库、修复Bug、调用工具、完成测试。

7、马拉松居然不提供一次性纸杯！那还办什么赛啊

而乐事正持续让“看赛有乐事”自然融入消费者的世界杯体验之中。

三点相似性让DeepSeek和Kimi反复被拿来比较，因此此次拿到与DeepSeek相似的剧本也并不意外。

8、前17轮净胜球TOP3！ 领头羊成都最多有21个 缺兵少将申花9个 ，北京国安是6个

当竞争对手还在寻找第一个能够付费的场景时，它至少已经在汽车行业找到了商业入口。

长鑫是过去十年唯一挤进这张桌子的新玩家。

对于阿根廷队而言，这场胜利虽然磕磕绊绊，但涉险过关才是淘汰赛的常态。

之后我们开始在Instagram上聊天。