而就在WAIC开幕前两天，国家网信办发布了一则重磅公告：苹果、华为、小米、OPPO、vivo、三星、努比亚七家厂商的端侧生成式AI服务，首次以独立类目完成备案。

1、leyuapp 如今，转会拉锯战越拖越长，反倒给了巴萨的竞争对手们时间，让他们有机会在阿尔瓦雷斯的争夺中强势介入。

这位金发女孩签约伯恩茅斯女足时，俱乐部的官宣视频在各大平台累积了数千万次播放，一夜之间将她推上了网络焦点。leyuappThe 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。

2、2019款奔驰Sprinter四驱改装露营车仅行驶4.6万英里 搭载3.0升柴油V6动力

戈登的世界杯之旅以心碎收场，但他完全可以昂首离开。

3、法国VS西班牙前瞻：法国打法全面升级，西班牙两大隐患恐难破局

阿莫林在葡萄牙体育执教时期就很擅长把青训球员或低知名度新星打造成球队核心，努诺·门德斯、若昂·内维斯都是这样被推上一线。

4、IndyCar与NASCAR卡车赛2027年重返圣彼得堡 双赛周末再续火爆

若卡萨多最终离队，将仅限于能带来直接现金回报的纯转会交易。

5、省内首例！岳阳市中心医院成功完成“TAVR+主动脉窦瘤封堵”一站式联合手术

此后半个月，它的市值从接近7000亿元的高点，缩水到不足5000亿。

据Gartner预测，企业AI预算正受到更严格的审查，支出正向能在成本、时延、性能与可靠性方面展现明确商业价值的供应商倾斜。

据BBC体育记者萨米·莫克贝尔报道，世界杯一结束，阿隆索的球队就准备加速推进这笔交易。

6、高招录取中！教育部发布预警，提醒广大师生注意这些骗术→

” “将存储变为‘算力的放大器’，这不仅是技术选择，更是AI基础设施走向普惠的必然路径，算力平权的‘iPhone时刻’也终会到来。

算上此前签下的安东尼·戈登，球队今夏已补进两名攻击手，但管理层丝毫没有收手的意思。

7、阿根廷助教为世界杯决赛冲突道歉：我推了他，但不是拳击

托莫里与米兰的缘分大概率将在这个夏天划上句号。

结果显示，4个良性代理构建体均成功完成组装，电泳检测得到预期大小的条带，测序结果确认序列符合预期。

8、2027年灰烬杯赛程出台：英格兰北部无男子测试赛，老特拉福德仅办热身与ODI

他解释道：“关于拉克鲁瓦，切尔西和水晶宫之间的接触依然非常活跃和具体。

发行完成后，CARIAD在地平线机器人的持股比例将达到9.9%。

而头号球星阿方索·戴维斯因腿筋伤势缺席前两轮，末轮大概率复出，预计能获得45至60分钟出场时间。

9、F1威廉姆斯车手阿尔本即将解锁百场里程碑：从红牛弃将到队史纪录粉碎机

但它的客户结构极其集中。

2023年3月，膝伤又让他休战约一个月，关键联赛和国王杯比赛均未赶上。

10、放弃新星霍尔！曼联豪砸世界杯猛将！3500 万锁定英超第一边后卫

即便如此，由于同样高达449亿美元的季度Capex导致的负现金流，Alphabet的股价也未能幸免，次日下跌超过7%。

这笔1500万级别的出售，将成为米兰今夏清洗的第一笔正式收入，也为后续的阵容调整腾出薪资空间。

1、北上深科技领军企业组团来邵考察 共谋新兴产业合作共赢

科莫与尤文同积68分，但法布雷加斯的球队本赛季双杀后者，因此排在前面位列第5。

2、约书亚拒谈富里：先征服地球，闯不过普伦加不谈“宇宙”_网易订阅

据悉，曦智科技已与盛科通信达成了CPO战略合作，推动国产CPO方案从实验室走向规模化部署。

3、特斯拉Cybertruck销售惨淡：首年注册量仅7133辆，远逊福特史上最大败笔

这位巴萨球星恰好完美契合这一要求。比梅西更重要！阿根廷世界杯隐藏功臣！他真的太被低估了Artificial Analysis的文生图榜单 这条路更难，但更有可能走向学术定义上的“世界模型”。

4、1997年捷豹XJR无保留价拍卖：行驶6.7万英里

”这场新老两代核心的直接对话，堪比现代版的“梅罗之争”，两人更是效力于皇马和巴萨，俱乐部和国家队都是宿敌。

5、Jon Rahm：“让慢打规则更严格”，高尔夫最大问题不能再拖了

近期战绩：状态起伏vs六战全胜 荷兰在世预赛阶段表现稳健，6胜2平全程不败，打入27球仅丢4球。

6、中央5台直播世界杯时间表：明天7月19日CCTV5直播，法国PK英格兰

8岁入队的他曾觉得一线队遥不可及，直到身披红蓝战袍踏上草坪的那一刻，才确信梦想照进现实。

关于具体的治疗方案，将在周五最后一轮专项医学检测后做出最终决定。

补时阶段，恩佐·费尔南德斯对库巴尔西一次不明智的犯规，领到第二张黄牌被罚下。

7、目标2030年产值破5000亿，东莞发布服务器专项政策

最矛盾的一点是，乙游看似热度长虹，每次内容更新、角色调整都能轻松冲上热搜，实则生命力极度脆弱。

这就是超节点在做的事情。

8、鲁尼评阿根廷赛后群殴：令人失望，输了球就该体面离开，很可悲

但风险并没有消失，只是转移给了设备的所有者。

久保建英、镰田大地、堂安律组成的中前场传切配合娴熟、边路突击能力突出。

卡马尔达的另一条路线是继续外租，这也取决于米兰新任主帅和体育总监的态度，目前租借最热门的去向是都灵和蒙扎。

酷睿程将基于白盒授权模式，依托地平线的AI基座大模型能力，开发大众汽车集团中国统一的AI驾驶解决方案，以推动大众L3和L4级自动驾驶能力落地。