对于梅西而言，这更是意义非凡的一战——面对梦开始的地方，面对拉玛西亚的师弟们，这位39岁的老将还在继续书写着不老的童话。

1、博亚平台 投资工具和兑现时间也要匹配。

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。博亚平台同时，他的传中质量也相当不错，能够为禁区内的队友创造得分机会。

2、德不配位，混子占据重要岗位！遭遇滑铁卢的申花需要一场大洗牌

”他认为，“AI产业也会沿循相似的路径，模型成为基础设施，应用最终跑到前面，就像今天的苹果、微软、谷歌，面向终端消费者提供解决方案的企业在最前面。

3、伊姐周六热推：电视剧《小城大事》；电视剧《轧戏》......

在这场新老两代天才的第11次正面对决中，亚马尔所在的球队再次笑到了最后。

4、年薪比同事少7万美金，30年后她竟多赚1000万：穷人差的从来不是收入

末轮这4支球队将竞争最后2个欧冠名额，如果在极端情况下3队以上积分打平，那么计算小积分榜米兰会有微弱优势。

5、湖人满员仍在招募！杨瀚森队友成新目标：追不到库明加就签赛布尔？

25/26赛季开赛前，科莫托随一线队参加了与阿森纳、利物浦等球队的热身赛，表现可圈可点。

同时，他与凯恩也成为了世界杯历史上首对在同一届赛事中均打入至少6球的同队组合。

公司回应称，相关报道是对创始人采访内容的误读，目前“没有任何应披露而未披露的事项”。

6、葡萄牙淘汰克罗地亚！克媒体直言“被抢劫”，C罗点球前说了啥？

而AI产业的爆发，进一步放大了这份供需缺口。

基于此，vivago R1的产品形态已经接近“AI原生内容生产工作流”，而非单纯的视频生成工具。

7、8000万到账就闯岛？国防部敲打特奥多罗：中业岛，中国的！

在总助攻榜上，他以4次助攻暂时落后于法国球员奥利塞的5次；在射正榜上，他以18次微弱劣势落后于姆巴佩的19次；在被犯规榜上，他以16次落后于多库的18次。

瑞典人将用40天的时间重塑管理层，他目前正在关注美职联球队纳什维尔的CEO，以及沙特联球队吉达国民的前任体育总监。

8、米兰新标王真涨价了？德转估计拉莫斯身价+2000万

本届世界杯上，他作为中场主力帮助阿根廷队闯入了半决赛。

奥尼尔早年还曾押注谷歌、并成为品牌收购商Authentic Brands Group的第二大个人股东。

从基本面看，谷歌仍在高歌猛进地赚钱，广告主业稳健，AI带动下的云业务飞速增长。

9、Shams：五支球队有机会签下詹姆斯 竞争集中在骑士热火和76人

第二层为待评估球员，包括亚沙里和穆萨，两人需在7月中旬集训开始后，接受阿莫林的直接考察。

此外，阿莫林体系中对于传统边锋的依赖度降低，他已经不需要莱奥这种类型的球员。

10、暴力足球代言人，放倒四个队友，阻击齐达内，大力界外球记忆犹新

对此，Vaibhav Taneja 列了三个叠加因素：2.4 亿美元质保计提，对应早期交付储能设备的电芯故障问题；一季度超 2 亿美元关税优惠二季度不再延续；工业储能赛道竞争加剧，产品均价下行。

” 印奇坦言，他请教过的终端人士给出的建议高度一致：不要碰硬件。

1、赞比亚旅游推介培训会在京举办

东方甄选发布公告：进一步聚焦产品和品控，2026财年营收和利润增速加快 7月23日，东方甄选发布公告，预期在2026财年（注：2025年6月1日至2026年5月31日），总营收及溢利均实现大幅增长。

2、时隔一年半，白云机场董秘又空缺了｜董秘沙龙

斯洛文尼亚名哨斯拉夫科·温契奇将担任主裁判，领衔斯洛文尼亚裁判组执法，而约旦裁判阿德汉·马哈德迈将出任第四官员。

3、今年第12号台风“红霞”生成！即将登陆我国！

甚至后来，他还发现竞争对手派遣“卧底”来公司。理想汽车负责人：理想ONE最长行驶里程超50万公里这背后是评价标准的换轨：建设阶段，行业比的是设备数量、峰值性能与集群规模；进入运营阶段，利用率、任务完成率、故障恢复时间、应用覆盖率和单位计算成本，将成为新的记分牌。

4、一夜7大转会！巴萨签下多特快马阿德耶米，曼联有意卡马文加！

2021年国内装机量排名第三，市占率5.9%，2022年港股上市。

5、西班牙法国38次交手斗牛士18胜，亚马尔姆巴佩近10次交锋谁赢得多

真正好的播客，最后还是要从词语回到具体的人。

6、神经病和精神病不是一种病？关于精神分裂症，我们一直误解太多

八、这些"实习"碰都别碰 说完怎么选，也得说清楚什么不能选。

如果有人持有IBM股票，主要是承受股价的线性变化。

红鸟财团一口气解雇了主教练阿莱格里、体育总监塔雷、技术总监蒙卡达以及首席执行官富拉尼4人。

7、替补席仅7人，双外援对5外！残阵海牛挑战河南，刘鑫瑜钟义浩战旧主

值得一提的是，相比于往届，今年的FIFA世界杯因为时差影响，虽然许多消费者无法守候直播，但会选择在社交媒体围观讨论世界杯。

最新的消息显示，乌拉圭前锋努涅斯进入了米兰的视野，他本人也愿意离开利雅得新月，回到欧洲踢球。

8、梅西惨淡谢幕，亚马尔的足球时代开始了

尤其是面对葡萄牙这样年轻、板凳深度雄厚且冲击力强的球队，下半场的体能下滑可能会成为致命短板。

光看近几届，就有过到第116分钟才打破僵局的（2010年），还有拖到第113分钟仍无进球的。

他把这些标的全标成了“凸性机会”。

两类能力并不相同——前者熟悉复杂计算平台的建设、优化和应用环境，后者拥有覆盖全国的基础设施和计费客服组织——实际业务中，二者往往互为补充。