人不能一直说“我不知道怎么办”，总要找一种稍微体面的语言，把悬而未决的生活安放下来。

1、kaiyun网页版登录入口 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。

北京时间7月15日凌晨3时，2026年美加墨世界杯半决赛迎来了一场万众瞩目的焦点战。kaiyun网页版登录入口对于天齐锂业而言，当下只能静待本轮周期继续回暖，但这个等待的过程，注定煎熬。

2、10战10胜！看完上海队接下来的8个对手，18连胜应该是手拿把掐了

随着终场哨响，阿根廷人疯狂庆祝，而英格兰球员则瘫倒在地。

3、丹麦甲揭幕：奥尔堡迎战希勒罗德，四度交锋未尝败绩

"西班牙是一支非常出色的球队，球员们都很棒。

4、7.0升LS引擎植入 1969年雪佛兰科迈罗改装重生上市

比利时方面喜欢内讧，上一场对阵美国非常团结是因为对手用了“盘外招”，反而激励了比利时全队。

5、2026美国田径全锦赛观赛指南：奥运冠军莱尔斯、理查德森领衔，NBC全程直播

不过，已经适应了生存压力的民营GP，展现出了惊人的“进化能力”，各种自救怪招层出不穷。

越早看清这张地图，你越不会被热搜牵着情绪走。

移动语音到AI创造，趣丸十二年“兴趣进化论” 趣丸科技的前半程是典型的移动互联网成功学。

6、梅西：落后时以为这是最后一场世界杯，但阿根廷永远不会放弃！

2024年，团队开始从零构建多模态音乐生成大模型“天谱乐”，走出了一条有别于开源微调的自研路线。

5月6日，朱双单归还500万元，同一天又拆借给公司900万元。

7、蓝鸟四连败欲止颓，比尔伯先发迎战美联东区领头羊光芒

是姆巴佩的利矛刺穿斗牛士的铁壁，还是西班牙的坚盾挡住高卢雄鸡的狂飙？答案，即将在绿茵场上揭晓。

虽然世界杯至今只首发了2场，但他仍然凭借8次过人进入小组赛过人榜前10。

8、1961年捷豹XK150 3.8L：历经修复斩获AACA国家级一等奖，现加州上架

罗德里在西班牙捧起队史第二座世界杯的征程中找回巅峰状态，荣膺象征赛事最佳球员的金球奖。

最让人意外的是曾经的青年队队长泽罗利，他没有得到夏训机会，将加入米兰未来队。

从16岁在欧洲杯半决赛轰入世界波，到19岁（7月13日刚过完生日）在世界杯半决赛将卫冕冠军挑落马下，亚马尔正在用一场场硬仗，书写属于自己的王权之路。

9、深圳公开赛战报！5-4，5-4，5-4中国军团3连胜，三将惊险绝杀！

过去三年，其全球销售收入增长近50亿美元，连续22个季度实现正增长。

如今主流的乙游运营模式，早已跟不上玩家迭代的价值诉求，商业逻辑、内容创作、玩法体系全面陷入瓶颈。

10、革命队进攻乏术即将补强：曝接近签下利兹联边锋哈里森

行业共识已清晰：2026年拼产线、拼验证；2027年拼装车、拼示范；2030年前后才是大规模商业化的时间窗口。

在1/4决赛和半决赛的关键战役中，凯恩的发挥难言出色。

1、迈阿密门将低级乌龙送大礼 梅西缺阵仍3比2逆转芝加哥

综上所述，此役还是看好英格兰击败挪威晋级四强！ 双方有过2次交手，英格兰都是1-0击败挪威。

2、魔笛的“告别战”，C罗的“处子球”

（图源：AI生成） 横向测试覆盖11个商用大语言模型，所有测试均在智能体配置下进行。

3、1927年斯图贝克房车经7年修复，搭载福特460ci V8发动机

在AI语音领域，趣丸科技联合港中文（深圳）开源了语音大模型MaskGCT。1955年别克世纪双门Riviera翻新待售，322ci V8与变速箱均经大修但工具能力可以横向扩展，不只是剧，也可以做营销视频、广告视频，背后是相通的技术底座。

4、两次MVP得主哈珀亲承“机会之窗正在关闭”：无冠压力年复一年

模型不再只是回答问题，而是在“干活”。

5、1971年Bug Stinger卡丁车无底价拍卖，卖家亲自动手重建单缸发动机

而对巴萨来说，这个夏天最让人揪心的转会悬念之一，总算有了一个令球迷安心的结局。

6、史永明任柳林县人民检察院党组书记

三狮军团阵容均衡，核心球员处于巅峰期，但防守端的隐患以及关键战的心理素质，依然是他们必须跨越的障碍。

暗藏“默契”的两份声明 两份小心翼翼的甩锅公告前后脚发布，意味着二者尚未达成某种共识，起码目前来看如此。

这一现象深刻地揭示了一个足球真理：在瞬息万变的绿茵场上，冰冷的数字永远无法完全丈量一支球队的真实战斗力。

7、1996年奥兹莫比尔Aurora仅行驶7万英里，4.0升V8无底价拍卖

低门槛、轻松回本、总部扶持，依然有人看完心动，拿出几十万元入场。

尽管法兰克福监事会主席贝克否认了这一消息，但更可能是一种谈判策略，他想要得到更高的赔偿金。

8、罗马诺：曼联正在评估中场第三位引援人选，红魔欣赏马努·科内；官方：曼联从热刺签下18岁边锋泰南·汤普森

全场第十二脚射正、总计第二十脚射门，而阿根廷那边，仍然挂着零，梅西更是全场隐身。

随着 AI 重塑白领就业市场，岗位需求、技能结构和招聘流程都在快速变化。

从小组赛首轮表现来看，两队都打出了各自的战术特点。

在法兰克福时期成功运作了帕乔、埃基蒂克、穆阿尼、马尔穆什等多笔高质量转会，这些球员累计为俱乐部带来了超过 3 亿欧元的转会收入。